Coal feeder metering system based on DCS

Abstract

The invention relates to the technical field of coal feeders, in particular to a coal feeder metering system based on a DCS. Comprising a central control unit used for establishing a metering model and generating a plurality of metering indexes according to the metering model; the central control unit is also used for generating a plurality of disturbance indexes according to the metering model and setting a plurality of monitoring points according to all the disturbance indexes; the metering unit is used for collecting signals of each metering index and generating real-time parameters of each metering index; and the monitoring unit comprises a plurality of monitoring sub-modules, the monitoring sub-modules are arranged at the monitoring points, and the monitoring unit is used for collecting operation parameters of each disturbance index. According to the method, metering models of different coal feeders are configured into corresponding coal pulverizing system controllers, so that accurate metering of the coal quantity on the coal feeders is achieved, corresponding auxiliary correction models are established according to disturbance index parameters in different operation scenes, metering deviation is corrected, and the metering accuracy is improved. And the metering deviation of the coal quantity caused by accumulative errors is avoided.

Description

Technical Field

[0001] The present application relates to the technical field of coal feeders, and in particular to a DCS-based coal feeder metering system. Background Art

[0002] In recent years, with the rapid development of the power industry, the optimization and upgrading of power plant coal feeder technology has become the key to improving the efficiency and safety of thermal power generation. Although developed countries have made remarkable achievements in coal feeder control technology, the limitations of current technology have led to low efficiency in practical applications, frequent safety problems, and significant economic losses.

[0003] At present, the following problems are common in the operation of coal feeders: the distance between the coal drop port and the coal discharge port of the coal feeder is short, and the coal quantity measurement system has always been unable to accurately measure after it was put into use. Due to the lack of coal quantity measurement function in the DCS system, there is no coal quantity signal and coal quantity closed-loop control function, and the coal consumption of a single furnace cannot be calculated. The coal quantity is estimated by the operator based on the operating experience, and the coal feeder is often blocked by large coal quantity. Summary of the invention

[0004] The purpose of this application is: to solve the above technical problems, this application provides a DCS-based coal feeder metering system, which aims to improve the metering accuracy of coal quantity and realize continuous and accurate coal feeding to the coal mill.

[0005] In some embodiments of the present application, according to the coal feeder DCS integrated control system, the metering models of different coal feeders are configured into the corresponding pulverizing system controller, so as to achieve accurate metering of the coal amount on the coal feeder and improve the working efficiency of the overall system.

[0006] In some embodiments of the present application, multiple disturbance indicators are established based on historical data, and multiple operation scenarios are constructed by dividing each disturbance indicator into intervals, and corresponding auxiliary correction models are established according to the disturbance indicator parameters in different operation scenarios, so as to correct the measurement deviation and improve the overall measurement accuracy. Avoid the measurement deviation of coal quantity caused by cumulative error.

[0007] In some embodiments of the present application, a DCS-based coal feeder metering system is provided, comprising:

[0008] The central control unit is used to establish a measurement model and generate multiple measurement indicators based on the measurement model;

[0009] The central control unit is also used to generate a plurality of disturbance indicators according to the measurement model, and set a plurality of monitoring points according to all the disturbance indicators;

[0010] The metering unit is used to collect signals of various metering indicators and generate real-time parameters of various metering indicators;

[0011] The monitoring unit includes a plurality of monitoring submodules, wherein the monitoring submodules are arranged at monitoring points, and the monitoring unit is used to collect operating parameters of various disturbance indicators.

[0012] In some embodiments of the present application, the central control unit includes:

[0013] A first processing module is used to establish a measurement model;

[0014] The second processing module is used to establish multiple auxiliary correction models according to the disturbance index;

[0015] The third processing module is used to set multiple monitoring cycles and generate a coal quantity monitoring model in each monitoring cycle according to a preset adjustment time node;

[0016] The fourth processing module generates a coal quantity monitoring curve for each monitoring period according to the real-time parameters of the metering indicators and the coal quantity monitoring model;

[0017] The correction module is used to determine whether to correct the coal quantity monitoring model of each monitoring period.

[0018] In some embodiments of the present application, the second processing module is further used to:

[0019] Get all disturbance indicators;

[0020] Generate multiple operation scenarios according to all disturbance indicators, and establish an operation scenario sequence A, A = (a1, a2...ai...an), where ai is the i-th operation scenario; n is the number of operation scenarios;

[0021] According to the number of running scenarios A, set ai as the target running scenario in turn;

[0022] Obtain historical operation data of the target operation scenario, and generate a measurement deviation value of the target operation scenario based on the historical operation data;

[0023] Generate an auxiliary correction model for the target operation scenario based on the measurement deviation value;

[0024] Generate auxiliary correction models for each target operation scenario in turn;

[0025] Establish an auxiliary correction module sequence B, B = (b1, b2...bi...bn), where bi is the auxiliary correction model of the i-th operating scenario.

[0026] In some embodiments of the present application, the third processing module is further used to:

[0027] Obtain the operating parameters of each disturbance indicator at the current adjustment time node;

[0028] Establish a disturbance index reference value sequence F at the current adjustment time node, F = (f1, f2...fi...fm), where fi is the real-time reference value of the i-th disturbance index at the current monitoring time node; m is the number of disturbance indicators;

[0029] Generate similarity evaluation values ​​for each operation scenario based on the disturbance index reference value series F;

[0030] Establish a similarity evaluation value sequence D of the current adjustment time node, D = (d1, d2...di...dn), where di is the similarity evaluation value between the current adjustment time node and the i-th operation scenario;

[0031] Set the auxiliary correction model of the operation scenario corresponding to the maximum value dmax in the similar evaluation value sequence D as the target auxiliary correction model of the current adjustment time node;

[0032] A coal quantity monitoring model for the current monitoring period is generated based on the target auxiliary correction model and the metering model.

[0033] In some embodiments of the present application, when generating similarity evaluation values ​​for each operation scenario, it includes:

[0034] Select the target operation scenario according to the operation scenario sequence A;

[0035] Generate a similarity evaluation value d with the target operation scenario;

[0036]

[0037] Among them, βi is the influencing factor of the i-th disturbance index; f'i is the reference value of the i-th disturbance index in the target operation scenario; U is the conversion coefficient;

[0038] Generate similarity evaluation values ​​for each operating scenario in turn.

[0039] In some embodiments of the present application, the correction module is also used to:

[0040] Construct multiple time intervals within the current monitoring period;

[0041] Generate multiple feedback time nodes according to all time intervals;

[0042] Obtain the coal quantity monitoring curve of the current feedback time node and establish the coal quantity series C, C = (c1, c2…c i …c r ), where r is the number of time intervals between the start time node of the current monitoring cycle and the current feedback time node; ci is the coal quantity value of the i-th time interval in the current monitoring cycle;

[0043] Obtain the operating parameters of each disturbance indicator at the current feedback time node;

[0044] Generate the fluctuation evaluation value g of the current feedback time node;

[0045] The fluctuation evaluation value g is used to determine whether a correction instruction is generated at the current feedback time node.

[0046] In some embodiments of the present application, the generating of the fluctuation evaluation value g of the current feedback time node includes:

[0047]

[0048] Ki={(c i / t i )-(1 / 2)*[(c i－1 / t i－1 )+(c i+1 / t i+1) ]} 2 ;

[0049] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Δfi is the real-time reference value of the i-th disturbance indicator at the current feedback time node; ti is the duration of the i-th time interval in the current adjustment cycle.

[0050] In some embodiments of the present application, the determining whether a correction instruction is generated at the current feedback time node includes:

[0051] Preset a first fluctuation evaluation value threshold G1 and a second fluctuation evaluation value threshold G2;

[0052] If g<G1, no correction instruction is generated at the current feedback time node;

[0053] If G1≤g<G2, the current feedback time node generates a first-level correction instruction;

[0054] If g>G2, generate the maintenance evaluation value h of the current feedback time node, and determine whether to generate a correction instruction based on the maintenance evaluation value h.

[0055] In some embodiments of the present application, the generating of the maintenance evaluation value h includes:

[0056]

[0057] h = α * j;

[0058] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θfi is the reference threshold of the i-th disturbance index; α is the compensation coefficient set based on the fluctuation evaluation value of the current feedback time node.

[0059] In some embodiments of the present application, when determining whether to generate a correction instruction according to the maintenance evaluation value h, the method includes:

[0060] Preset the first maintenance evaluation value threshold H1;

[0061] If h

[0062] If h>H1, the current feedback time node generates a first-level maintenance instruction, and generates a maintenance plan based on the first-level maintenance instruction.

[0063] Compared with the prior art, the DCS-based coal feeder metering system in the embodiment of the present application has the following beneficial effects:

[0064] According to the DCS integrated control system of the coal feeder, the metering models of different coal feeders are configured into the corresponding pulverizing system controller, so as to achieve accurate metering of the coal amount on the coal feeder and improve the working efficiency of the overall system.

[0065] According to historical data, multiple disturbance indicators are established, and by dividing each disturbance indicator into intervals, multiple operation scenarios are constructed. According to the disturbance indicator parameters in different operation scenarios, corresponding auxiliary correction models are established to correct the measurement deviation, thereby improving the overall measurement accuracy and avoiding the measurement deviation of coal quantity caused by cumulative errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a structural schematic diagram of a DCS-based coal feeder metering system in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0067] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0068] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0069] ​The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0070] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0071] like Figure 1 As shown, a DCS-based coal feeder metering system according to a preferred embodiment of the present application includes:

[0072] The central control unit is used to establish a measurement model and generate multiple measurement indicators based on the measurement model;

[0073] The central control unit is also used to generate a plurality of disturbance indicators according to the measurement model, and to set a plurality of monitoring points according to all the disturbance indicators;

[0074] The metering unit is used to collect signals of various metering indicators and generate real-time parameters of various metering indicators;

[0075] The monitoring unit includes a plurality of monitoring submodules, the monitoring submodules are arranged at monitoring points, and the monitoring unit is used to collect operating parameters of various disturbance indicators.

[0076] Disturbance indicators include but are not limited to temperature, humidity, pressure, dust concentration, belt tension, dust accumulation on rollers and other factors that may cause metering errors.

[0077] Specifically, a plurality of monitoring points are set according to different disturbance indicators, and corresponding sensors or video monitors and other equipment are installed according to the types of disturbance indicators collected at each monitoring point, so as to realize real-time monitoring of each disturbance indicator.

[0078] Specifically, the central control unit includes:

[0079] A first processing module is used to establish a measurement model;

[0080] The second processing module is used to establish multiple auxiliary correction models according to the disturbance index;

[0081] The third processing module is used to set multiple monitoring cycles and generate a coal quantity monitoring model in each monitoring cycle according to a preset adjustment time node;

[0082] The fourth processing module generates a coal quantity monitoring curve for each monitoring period according to the real-time parameters of the metering indicators and the coal quantity monitoring model;

[0083] The correction module is used to determine whether to correct the coal quantity monitoring model of each monitoring period.

[0084] Specifically, when establishing a measurement model, it includes:

[0085] Y=K'X+B', Y represents the measured coal weight, B' represents the tare weight, X represents the code weight, and K' represents the coal weight coefficient.

[0086] When performing zero point calibration, X = 0, Y = B', and record the measured B' value;

[0087] When the weight is fully calibrated, X = weight, record Y. If Y, X, and B' are known, substitute them into the model YK'X+B' and calculate K'.

[0088] When the coal feeder is actually running, measure the coal weight Y=K'X+B'. K is the calibrated coal weight coefficient, B' is the calibrated tare weight, and X is the actual coal weight.

[0089] Coal quantity model: M = G'*Y*R, M represents the coal quantity, Y represents the coal weight, R represents the rotation speed, and G' represents the coal quantity coefficient.

[0090] Each type of coal feeder is given a reference coal quantity M when leaving the factory. This reference coal quantity M is the coal quantity when the hanging code X and the speed R = 1000 rpm.

[0091] During calibration, the speed of the coal feeder is kept constant at R = 1000 rpm, and the coal quantity coefficient G is modified to make the coal quantity the given coal quantity M.

[0092] When the coal feeder is actually running, M=G'*Y*R, G' is the calibrated coal quantity coefficient, Y is the actual coal weight, and R is the actual rotation speed.

[0093] Specifically, the corresponding metering indicators to be collected are set according to the metering model, such as rotation speed signal, coal weight signal and other parameters, so as to measure the real-time coal quantity.

[0094] It can be understood that in the above embodiment, according to the coal feeder DCS integrated control system, the metering model of each different coal feeder is configured into the corresponding pulverizing system controller, so as to achieve accurate metering of the coal amount on the coal feeder and improve the working efficiency of the overall system.

[0095] In a preferred embodiment of the present application, the second processing module is also used for:

[0096] Get all disturbance indicators;

[0097] Generate multiple operation scenarios according to all disturbance indicators, and establish an operation scenario sequence A, A = (a1, a2...ai...an), where ai is the i-th operation scenario; n is the number of operation scenarios;

[0098] According to the number of running scenarios A, set ai as the target running scenario in turn;

[0099] Obtain historical operation data of the target operation scenario, and generate a measurement deviation value of the target operation scenario based on the historical operation data;

[0100] Generate an auxiliary correction model for the target operation scenario based on the measurement deviation value;

[0101] Generate auxiliary correction models for each target operation scenario in turn;

[0102] Establish an auxiliary correction module sequence B, B = (b1, b2...bi...bn), where bi is the auxiliary correction model of the i-th operating scenario.

[0103] Specifically, each disturbance index is quantitatively partitioned and dynamically combined in turn, and multiple operation scenarios are constructed according to the combination results, wherein a single operation scenario includes a single value range of each disturbance index.

[0104] Specifically, the historical metering data of each operation scenario is analyzed in turn to generate the metering deviation value in each operation scenario, and the auxiliary correction model of each operation scenario is generated in turn to correct the possible metering deviation to ensure the metering accuracy.

[0105] Specifically, the third processing module is also used for:

[0106] Obtain the operating parameters of each disturbance indicator at the current adjustment time node;

[0107] Establish a disturbance index reference value sequence F at the current adjustment time node, F = (f1, f2...fi...fm), where fi is the real-time reference value of the i-th disturbance index at the current monitoring time node; m is the number of disturbance indicators;

[0108] Generate similarity evaluation values ​​for each operation scenario based on the disturbance index reference value series F;

[0109] Establish a similarity evaluation value sequence D of the current adjustment time node, D = (d1, d2...di...dn), where di is the similarity evaluation value between the current adjustment time node and the i-th operation scenario;

[0110] Set the auxiliary correction model of the operation scenario corresponding to the maximum value dmax in the similar evaluation value sequence D as the target auxiliary correction model of the current adjustment time node;

[0111] A coal quantity monitoring model for the current monitoring period is generated based on the target auxiliary correction model and the metering model.

[0112] Specifically, when generating similar evaluation values ​​for each operating scenario, it includes:

[0113] Select the target operation scenario according to the operation scenario sequence A;

[0114] Generate a similarity evaluation value d with the target operation scenario;

[0115]

[0116] Among them, βi is the influencing factor of the i-th disturbance index; f'i is the reference value of the i-th disturbance index in the target operation scenario; U is the conversion coefficient;

[0117] Generate similarity evaluation values ​​for each operating scenario in turn.

[0118] Specifically, by presetting the conversion coefficient, the higher the similarity evaluation value is, the more similar the current operating parameters are to the corresponding operating scenario, and the better the correction effect of the corresponding auxiliary correction model is.

[0119] Specifically, after the monitoring signals of the monitoring points collected by each monitoring submodule are converted and processed, the real-time reference values ​​of each disturbance index at the current adjustment time node are generated. And according to the preset evaluation model, the current operating parameters are compared with various operating scenarios to select the best auxiliary correction model.

[0120] Specifically, the metering model is corrected according to the selected target auxiliary correction model, so as to generate a corresponding coal quantity monitoring model to improve the metering accuracy of the coal quantity.

[0121] It can be understood that in the above embodiment, by constructing multiple operation scenarios, corresponding auxiliary correction models are established according to the disturbance index parameters in different operation scenarios, so as to correct the metering deviation and improve the overall metering accuracy, thereby avoiding the metering deviation of the coal quantity caused by cumulative errors.

[0122] In a preferred embodiment of the present application, the correction module is also used to:

[0123] Construct multiple time intervals within the current monitoring period;

[0124] Generate multiple feedback time nodes according to all time intervals;

[0125] Obtain the coal quantity monitoring curve of the current feedback time node and establish the coal quantity series C, C = (c1, c2…c i …c r ), where r is the number of time intervals between the start time node of the current monitoring cycle and the current feedback time node; ci is the coal quantity value of the i-th time interval in the current monitoring cycle;

[0126] Obtain the operating parameters of each disturbance indicator at the current feedback time node;

[0127] Generate the fluctuation evaluation value g of the current feedback time node;

[0128] The fluctuation evaluation value g is used to determine whether a correction instruction is generated at the current feedback time node.

[0129] Specifically, when generating the fluctuation evaluation value g of the current feedback time node, it includes:

[0130]

[0131] Ki={(c i / t i )-(1 / 2)*[(c i－1 / t i－1 )+(c i+1 / t i+1) ]} 2 ;

[0132] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Δfi is the real-time reference value of the i-th disturbance indicator at the current feedback time node; ti is the duration of the i-th time interval in the current adjustment cycle.

[0133] Specifically, by presetting the first fixed coefficient and the second fixed coefficient, each parameter in the model is normalized so that each parameter in the model is in the same value range.

[0134] Specifically, the larger the fluctuation evaluation value, the worse the current metering accuracy. And the larger the fluctuation of the coal feeding rate, the more necessary it is to correct the coal quantity monitoring model in time to avoid metering deviation.

[0135] Specifically, when judging whether a correction instruction is generated at the current feedback time node, it includes:

[0136] Preset a first fluctuation evaluation value threshold G1 and a second fluctuation evaluation value threshold G2;

[0137] If g<G1, no correction instruction is generated at the current feedback time node;

[0138] If G1≤g<G2, the current feedback time node generates a first-level correction instruction;

[0139] If g>G2, generate the maintenance evaluation value h of the current feedback time node, and determine whether to generate a correction instruction based on the maintenance evaluation value h.

[0140] Specifically, the first-level correction instruction reselects the target auxiliary correction model according to the real-time reference values ​​of each disturbance index at the current feedback time node, thereby correcting the coal quantity monitoring model of the current monitoring period.

[0141] Specifically, when generating the maintenance evaluation value h, it includes:

[0142]

[0143] h = α * j;

[0144] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θfi is the reference threshold of the i-th disturbance index; α is the compensation coefficient set based on the fluctuation evaluation value of the current feedback time node.

[0145] Specifically, by presetting the third fixed coefficient and the fourth fixed coefficient, each parameter in the model is normalized so that each parameter in the model is in the same value range.

[0146] Specifically, the larger the maintenance evaluation value, the greater the possibility that the current metering equipment has operational risks, and timely maintenance is required to eliminate risks and avoid operational failures of the metering equipment that affect the metering accuracy of the coal.

[0147] Specifically, when judging whether to generate a correction instruction according to the maintenance evaluation value h, it includes:

[0148] Preset the first maintenance evaluation value threshold H1;

[0149] If h

[0150] If h>H1, the current feedback time node generates a first-level maintenance instruction, and generates a maintenance plan based on the first-level maintenance instruction.

[0151] Specifically, the second-level correction instruction calibrates and corrects the current metering model, and the first-level maintenance instruction refers to the maintenance of the current metering equipment to eliminate potential operating failures of the equipment and avoid affecting the metering accuracy of the coal quantity.

[0152] ​According to the first concept of the present application, based on the coal feeder DCS integrated control system, the metering models of different coal feeders are configured into the corresponding pulverizing system controller, so as to achieve accurate metering of the coal amount on the coal feeder and improve the working efficiency of the overall system.

[0153] According to the second concept of the present application, multiple disturbance indicators are established based on historical data, and multiple operation scenarios are constructed by dividing each disturbance indicator into intervals, and corresponding auxiliary correction models are established according to the disturbance indicator parameters in different operation scenarios, so as to correct the measurement deviation and improve the overall measurement accuracy. Avoid the measurement deviation of coal quantity caused by cumulative error.

[0154] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A DCS-based coal feeder metering system, characterized in that: include: The central control unit is used to establish a measurement model and generate multiple measurement indicators based on the measurement model; The central control unit is also used to generate a plurality of disturbance indicators according to the measurement model, and set a plurality of monitoring points according to all the disturbance indicators; The metering unit is used to collect signals of various metering indicators and generate real-time parameters of various metering indicators; The monitoring unit includes a plurality of monitoring submodules, wherein the monitoring submodules are arranged at monitoring points, and the monitoring unit is used to collect operating parameters of various disturbance indicators.

2. The DCS-based coal feeder metering system according to claim 1, characterized in that: The central control unit comprises: A first processing module is used to establish a measurement model; The second processing module is used to establish multiple auxiliary correction models according to the disturbance index; The third processing module is used to set multiple monitoring cycles and generate a coal quantity monitoring model in each monitoring cycle according to a preset adjustment time node; The fourth processing module generates a coal quantity monitoring curve for each monitoring period according to the real-time parameters of the metering indicators and the coal quantity monitoring model; The correction module is used to determine whether to correct the coal quantity monitoring model of each monitoring period.

3. The DCS-based coal feeder metering system according to claim 2, characterized in that: The second processing module is also used for: Get all disturbance indicators; Generate multiple operation scenarios according to all disturbance indicators, and establish an operation scenario sequence A, A = (a1, a2...ai...an), where ai is the i-th operation scenario; n is the number of operation scenarios; According to the number of running scenarios A, set ai as the target running scenario in turn; Obtain historical operation data of the target operation scenario, and generate a measurement deviation value of the target operation scenario based on the historical operation data; Generate an auxiliary correction model for the target operation scenario based on the measurement deviation value; Generate auxiliary correction models for each target operation scenario in sequence; Establish an auxiliary correction module sequence B, B = (b1, b2...bi...bn), where bi is the auxiliary correction model of the i-th operating scenario.

4. The DCS-based coal feeder metering system according to claim 3, characterized in that: The third processing module is also used for: Obtain the operating parameters of each disturbance indicator at the current adjustment time node; Establish a disturbance index reference value sequence F at the current adjustment time node, F = (f1, f2...fi...fm), where fi is the real-time reference value of the i-th disturbance index at the current monitoring time node; m is the number of disturbance indicators; Generate similarity evaluation values ​​for each operation scenario based on the disturbance index reference value series F; Establish a similarity evaluation value sequence D of the current adjustment time node, D = (d1, d2...di...dn), where di is the similarity evaluation value between the current adjustment time node and the i-th operation scenario; Set the auxiliary correction model of the operation scenario corresponding to the maximum value dmax in the similar evaluation value sequence D as the target auxiliary correction model of the current adjustment time node; A coal quantity monitoring model for the current monitoring period is generated based on the target auxiliary correction model and the metering model.

5. The DCS-based coal feeder metering system according to claim 4, characterized in that: When generating similarity ratings for each operational scenario, include: Select the target operation scenario according to the operation scenario sequence A; Generate a similarity evaluation value d with the target operation scenario; Among them, βi is the influencing factor of the i-th disturbance index; f'i is the reference value of the i-th disturbance index in the target operation scenario; U is the conversion coefficient; Generate similarity evaluation values ​​for each operating scenario in turn.

6. The DCS-based coal feeder metering system according to claim 4, characterized in that: The correction module is also used for: Construct multiple time intervals within the current monitoring period; Generate multiple feedback time nodes according to all time intervals; Obtain the coal quantity monitoring curve of the current feedback time node and establish the coal quantity series C, C = (c1, c2…c i …c r ), where r is the number of time intervals between the start time node of the current monitoring cycle and the current feedback time node; ci is the coal quantity value of the i-th time interval in the current monitoring cycle; Obtain the operating parameters of each disturbance indicator at the current feedback time node; Generate the fluctuation evaluation value g of the current feedback time node; The fluctuation evaluation value g is used to determine whether a correction instruction is generated at the current feedback time node.

7. The DCS-based coal feeder metering system according to claim 6, characterized in that: The generating of the fluctuation evaluation value g of the current feedback time node includes: Ki={(c i / t i )-(1 / 2)*[(c i－1 / t i－1 )+(c i+1 / t i+1) ]} 2 ; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Δfi is the real-time reference value of the i-th disturbance indicator at the current feedback time node; ti is the duration of the i-th time interval in the current adjustment cycle.

8. The DCS-based coal feeder metering system according to claim 4, characterized in that: The step of determining whether a correction instruction is generated at the current feedback time node includes: Preset a first fluctuation evaluation value threshold G1 and a second fluctuation evaluation value threshold G2; If g<G1, no correction instruction is generated at the current feedback time node; If G1≤g<G2, the current feedback time node generates a first-level correction instruction; If g>G2, generate the maintenance evaluation value h of the current feedback time node, and determine whether to generate a correction instruction based on the maintenance evaluation value h.

9. The DCS-based coal feeder metering system according to claim 8, characterized in that: The generation of the maintenance evaluation value h includes: h = α * j; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θfi is the reference threshold of the i-th disturbance index; α is the compensation coefficient set based on the fluctuation evaluation value of the current feedback time node.

10. The DCS-based coal feeder metering system according to claim 9, characterized in that: When judging whether to generate a correction instruction according to the maintenance evaluation value h, it includes: Preset the first maintenance evaluation value threshold H1; If h<H1, the current feedback time node generates a secondary correction instruction; If h>H1, the current feedback time node generates a first-level maintenance instruction, and generates a maintenance plan based on the first-level maintenance instruction.

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