Coal feeder metering system based on DCS

Abstract

The application relates to the technical field of coal feeders, in particular to a coal feeder metering system based on DCS. The coal feeder metering system comprises a central control unit, a metering unit and a monitoring unit. The central control unit is 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; 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. The metering models of various coal feeders are configured into corresponding pulverizing system controllers, so that accurate metering of the coal quantity on the coal feeder is realized, corresponding auxiliary correction models are established according to the disturbance index parameters in different operation scenes, the metering deviation is corrected, and the metering deviation of the coal quantity caused by accumulated errors is avoided.

Description

TECHNICAL FIELD

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

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

[0003] Currently, the following problems exist in the operation of coal feeders: the distance between the coal drop port and the coal outlet of the coal feeder is short, and the coal quantity measurement system has always had the problem of inaccurate measurement after being put into operation. 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 single furnace coal consumption cannot be calculated. The coal quantity is estimated by the operating personnel according to their operating experience, and the coal quantity of the coal feeder is often blocked. SUMMARY

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

[0005] In some embodiments of the present application, according to the DCS integrated control system of the coal feeder, the measurement models of each different coal feeder are configured into the corresponding pulverizing system controller, thereby realizing accurate measurement of the coal quantity of the coal feeder and improving the working efficiency of the overall system.

[0006] In some embodiments of the present application, a plurality of disturbance indexes are established according to historical data, and a plurality of running scenarios are constructed by interval division of each disturbance index. The corresponding auxiliary correction model is established according to the disturbance index parameters in different running scenarios, thereby correcting the measurement deviation and improving the overall measurement accuracy. Avoiding the measurement deviation of coal quantity caused by cumulative error.

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

[0008] A central control unit is configured to establish a measurement model and generate a plurality of measurement indexes according to the measurement model;

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

[0010] A measurement unit is configured to collect signals of each measurement index and generate real-time parameters of each measurement index;

[0011] The monitoring unit comprises a plurality of monitoring sub-modules arranged at monitoring points, and is configured to collect operation parameters of each disturbance index.

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

[0013] The first processing module is configured to establish a metering model.

[0014] The second processing module is configured to establish a plurality of auxiliary correction models according to the disturbance indexes.

[0015] The third processing module is configured to set a plurality of monitoring periods and generate a coal quantity monitoring model in each monitoring period according to a preset adjustment time node.

[0016] The fourth processing module is configured to generate a coal quantity monitoring curve for each monitoring period according to real-time parameters of the metering index and the coal quantity monitoring model.

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

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

[0019] acquire all disturbance indexes;

[0020] generate a plurality of operation scenarios according to all the disturbance indexes, and establish a scenario sequence A, A=(a1, a2…ai…an), wherein ai is the i-th operation scenario, and n is the number of operation scenarios.

[0021] set ai as a target operation scenario in sequence according to the operation scenario sequence A;

[0022] acquire historical operation data of the target operation scenario, and generate a metering deviation value of the target operation scenario according to the historical operation data;

[0023] generate an auxiliary correction model of the target operation scenario according to the metering deviation value;

[0024] generate the auxiliary correction model of each target operation scenario in sequence;

[0025] establish an auxiliary correction model sequence B, B=(b1, b2…bi…bn), wherein bi is the auxiliary correction model of the i-th operation scenario.

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

[0027] acquire operation parameters of each disturbance index at a current adjustment time node;

[0028] A disturbance index reference value sequence F of the current regulation time node is established, F=(f1, f2…fw…fm), wherein, fw is a real-time reference value of the wth disturbance index at the current monitoring time node; m is the number of disturbance indexes;

[0029] A similarity evaluation value of each operation scenario is generated according to the disturbance index reference value sequence F;

[0030] A similarity evaluation value sequence D of the current regulation time node is established, D=(d1, d2…di…dn), wherein, di is a similarity evaluation value of the current regulation time node and the ith operation scenario;

[0031] The auxiliary correction model corresponding to the maximum value dmax in the similarity evaluation value sequence D is set as the target auxiliary correction model of the current regulation time node;

[0032] The coal quantity monitoring model of the current monitoring period is generated according to the target auxiliary correction model and the metering model.

[0033] In some embodiments of the present application, when the similarity evaluation value of each operation scenario is generated, the following steps are included:

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

[0035] A similarity evaluation value d of the target operation scenario is generated;

[0036] d=U×{ [βw×(fw-f'w) 2 ]};

[0037] Wherein, βw is the influence factor of the wth disturbance index; f'w is the reference value of the wth disturbance index in the target operation scenario; U is the conversion coefficient;

[0038] The similarity evaluation values of each operation scenario are generated in sequence.

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

[0040] A plurality of time intervals are constructed within the current monitoring period;

[0041] A plurality of feedback time nodes are generated according to all the time intervals;

[0042] A coal quantity monitoring curve of the current feedback time node is obtained, and a coal quantity sequence C is established, C=(c1, c2…cs…cr),wherein, r is the number of time intervals between the starting time node of the current monitoring period and the current feedback time node; cs is the coal quantity value of the sth time interval within the current monitoring period; s …c r r is the number of time intervals between the starting time node of the current monitoring period and the current feedback time node; cs is the coal quantity value of the sth time interval within the current monitoring period; s ​

[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, generating the fluctuation evaluation value g of the current feedback time segment includes:

[0047] g=e1×Q1×{ [βw×(Δfw-fw) 2 ]}+e2×Q2× Ks;

[0048] Ks={(c s / t s )-(1 / 2)×[(c s-1 / t s-1 )+(c s+1 / t s+1) ]} 2 ;

[0049] Wherein, 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; Δfw is the real-time reference value of the wth disturbance indicator at the current feedback time node; t s is the duration of the i-th time interval in the current adjustment cycle.

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

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

[0052] If g <G1,则当前反馈时间节点不生成修正指令;

[0053] If G1≤g <G2,当前反馈时间节点生成一级修正指令;

[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, generating the maintenance evaluation value h of the current feedback time segment includes:

[0056] j=e3×Q3×{ [βw×(Δfw-fw) 2 ]}+e4×Q4×{ [βw×(Δfw-θfw) 2 ]};

[0057] h=α×j;

[0058] Wherein, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θfw is a reference threshold of the wth disturbance index; and a is a 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 following steps are included:

[0060] a preset first maintenance evaluation value threshold H1 is set;

[0061] If h

[0062] If h>H1, a first-level maintenance instruction is generated at the current feedback time node, and a maintenance plan is generated according to the first-level maintenance instruction.

[0063] Compared with the prior art, the coal feeder metering system based on DCS 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 corresponding pulverizing system controllers, so that accurate metering of the coal quantity on the coal feeder is realized, and the working efficiency of the overall system is improved.

[0065] According to historical data, a plurality of disturbance indexes are established, and a plurality of running scenes are constructed by interval division of the disturbance indexes. Corresponding auxiliary correction models are established according to the disturbance index parameters in different running scenes, so that the metering deviation is corrected, and the overall metering accuracy is improved. The metering deviation of the coal quantity caused by cumulative error is avoided. BRIEF DESCRIPTION OF DRAWINGS

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

[0067] The specific embodiments of the present application will be further described in detail below in combination with the drawings and embodiments. The following embodiments are used to illustrate the present application, but not to limit the scope of the present application.

[0068] In the description of the present application, it needs to be understood that the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the 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 particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0069] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0070] In the description of the present application, it needs to be explained that, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0071] As shown in Figure 1 The DCS-based coal feeder metering system of the preferred embodiment of the present application comprises:

[0072] The central control unit is used to establish a metering model and generate a plurality of metering indexes according to the metering model;

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

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

[0075] The monitoring unit comprises a plurality of monitoring sub-modules, and the monitoring sub-modules are arranged at the monitoring points. The monitoring unit is used to collect operating parameters of each disturbance index.

[0076] The disturbance indexes include, but are not limited to, temperature, humidity, pressure, dust concentration, belt tension, and ash accumulation state on the carrier roller, etc., which can cause metering errors.

[0077] Specifically, a plurality of monitoring points are set according to different disturbance indexes, and corresponding sensors or camera monitors and the like are installed according to the types of the disturbance indexes collected by the monitoring points, so as to realize real-time monitoring of the disturbance indexes.

[0078] Specifically, the central control unit comprises:

[0079] The first processing module is configured to establish a metering model;

[0080] The second processing module is configured to establish a plurality of auxiliary correction models according to the disturbance indexes;

[0081] The third processing module is configured to set a plurality of monitoring periods and generate a coal quantity monitoring model in each monitoring period according to a preset adjustment time node;

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

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

[0084] Specifically, when the metering model is established, the following steps are included:

[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 zero point calibration is performed, X=0, Y=B', and the measured B' value is recorded;

[0087] When full code calibration is performed, X=code weight, and Y is recorded. Y, X, and B' are known, and are substituted into the model YK'X+B' to calculate K'.

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

[0089] The coal quantity model is M=G'×Y×R, M represents the coal quantity, Y represents the coal weight, R represents the speed, and G' represents the coal quantity coefficient.

[0090] For each type of coal feeder, a reference coal quantity M is given when it is shipped. The reference coal quantity M is the coal quantity when the code X and the speed R=1000 revolutions per minute.

[0091] During calibration, the speed of the coal feeder is kept constant at R=1000 revolutions per minute, and the coal quantity coefficient G is modified so that the coal quantity is the given coal quantity M,

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

[0093] Specifically, according to the metering model, corresponding metering indexes to be collected, such as a rotating speed signal, a coal weight signal and the like, are set, so that the real-time coal quantity is metered.

[0094] It can be understood that, in the above embodiment, according to the coal feeder DCS integrated control system, the metering models of various coal feeders are configured into corresponding pulverizing system controllers, so that the accurate metering of the coal quantity on the coal feeder is realized, and the working efficiency of the overall system is improved.

[0095] In the preferred embodiment of the present application, the second processing module is further configured to:

[0096] acquire all disturbance indexes;

[0097] generate a plurality of running scenarios according to the all disturbance indexes, and establish a running scenario sequence A, A=(a1, a2…ai…an), wherein ai is the i th running scenario; and n is the number of running scenarios;

[0098] set ai as a target running scenario according to the running scenario sequence A in sequence;

[0099] acquire historical running data of the target running scenario, and generate a metering deviation value of the target running scenario according to the historical running data;

[0100] generate an auxiliary correction model of the target running scenario according to the metering deviation value;

[0101] generate the auxiliary correction model of each target running scenario in sequence;

[0102] establish an auxiliary correction model sequence B, B=(b1, b2…bi…bn), wherein bi is the auxiliary correction model of the i th running scenario.

[0103] Specifically, each disturbance index is quantitatively partitioned and dynamically combined in sequence, and a plurality of running scenarios are constructed according to the combination results, wherein a single value interval of each disturbance index is included in a single running scenario.

[0104] Specifically, the historical metering data of each running scenario is analyzed in sequence, so that a metering deviation value in each running scenario is generated, and an auxiliary correction model of each running scenario is generated in sequence, so that the metering deviation that may be generated is corrected, and the metering accuracy is ensured.

[0105] Specifically, the third processing module is further configured to:

[0106] acquire running parameters of each disturbance index at a current adjustment time node;

[0107] A disturbance index reference value sequence F of the current regulation time node is established, F=(f1, f2…fw…fm), wherein, fw is a real-time reference value of the wth disturbance index at the current monitoring time node; m is the number of disturbance indexes;

[0108] A similarity evaluation value of each running scenario is generated according to the disturbance index reference value sequence F;

[0109] A similarity evaluation value sequence D of the current regulation time node is established, D=(d1, d2…di…dn), wherein, di is a similarity evaluation value of the current regulation time node and the ith running scenario;

[0110] The auxiliary correction model corresponding to the maximum value dmax in the similarity evaluation value sequence D is set as the target auxiliary correction model of the current regulation time node;

[0111] A coal quantity monitoring model of the current monitoring period is generated according to the target auxiliary correction model and the metering model.

[0112] Specifically, when the similarity evaluation value of each running scenario is generated, the following steps are included:

[0113] A target running scenario is selected according to the running scenario sequence A;

[0114] A similarity evaluation value d of the target running scenario is generated;

[0115] d=U×{ [βw×(fw-f'w) 2 ]};

[0116] Wherein, βw is an influence factor of the wth disturbance index; f'w is a reference value of the wth disturbance index in the target running scenario; U is a conversion coefficient;

[0117] The similarity evaluation values of each running scenario are generated in sequence.

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

[0119] Specifically, after the monitoring signals of the monitoring points collected by each monitoring sub-module are processed, the real-time reference values of each disturbance index of the current regulation time node are generated. According to the preset evaluation model, the current running parameter is compared with each running scenario, and the best auxiliary correction model is selected.

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

[0121] It can be understood that, in the above embodiment, by constructing multiple running scenarios, the corresponding auxiliary correction model is established according to the disturbance index parameters in different running scenarios, so as to correct the metering deviation, thereby improving the overall metering accuracy. Avoiding the cumulative error caused by the metering deviation of the coal quantity.

[0122] In the preferred embodiment of the present application, the correction module is further used for:

[0123] constructing multiple time intervals in the current monitoring period;

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

[0125] obtaining a coal quantity monitoring curve of the current feedback time node, and establishing a coal quantity sequence C, C=(c1, c2…c s …c r ), wherein r is the number of time intervals between the start time node of the current monitoring period and the current feedback time node; c s is the coal quantity value of the s-th time interval in the current monitoring period;

[0126] obtaining the running parameters of each disturbance index at the current feedback time node;

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

[0128] judging whether to generate a correction instruction for the current feedback time node according to the fluctuation evaluation value g.

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

[0130] g=e1×Q1×{ [βw×(Δfw-fw) 2 ]}+e2×Q2× Ks;

[0131] Ks={(c s / t s )-(1 / 2)×[(c s-1 / t s-1 )+(c s+1 / t s+1) ]} 2 ;

[0132] wherein e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; Δfw is the real-time reference value of the w-th disturbance index at the current feedback time node; t s is the time length of the i-th time interval in the current adjustment period.

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

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

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

[0137] If g <G1,则当前反馈时间节点不生成修正指令;

[0138] If G1≤g <G2,当前反馈时间节点生成一级修正指令;

[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 of the current feedback time node, it includes:

[0142] j=e3×Q3×{ [βw×(Δfw-fw) 2 ]}+e4×Q4×{ [βw×(Δfw-θfw) 2 ]};

[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; θfw is the reference threshold of the w-th disturbance indicator; 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 is, the greater the possibility of operation risk of the current metering device is, and the current maintenance needs to be carried out in time to eliminate the risk and avoid the operation failure of the metering device to affect the measurement accuracy of the coal quantity.

[0147] Specifically, when judging whether to generate a correction instruction according to the maintenance evaluation value h, the following steps are included:

[0148] A first maintenance evaluation value threshold H1 is preset;

[0149] If h < H1, a secondary correction instruction is generated at the current feedback time node;

[0150] If h > H1, a primary maintenance instruction is generated at the current feedback time node, and a maintenance plan is generated according to the primary maintenance instruction.

[0151] Specifically, the secondary correction instruction calibrates and corrects the current metering model, and the primary maintenance instruction refers to the maintenance of the current metering device to eliminate potential operation failure of the device and avoid affecting the measurement accuracy of the coal quantity.

[0152] According to the first concept of the present application, according to the DCS integrated control system of the coal feeder, the metering models of various different coal feeders are configured into the corresponding pulverizing system controllers, so as to realize accurate measurement of the coal quantity on the coal feeder and improve the working efficiency of the overall system.

[0153] According to the second concept of the present application, a plurality of disturbance indexes are established according to historical data, and a plurality of operation scenes are constructed by interval division of the disturbance indexes, and corresponding auxiliary correction models are established according to the disturbance index parameters in different operation scenes, so as to correct the measurement deviation and improve the overall measurement accuracy. Avoid the measurement deviation of the coal quantity caused by cumulative error.

[0154] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, some improvements and replacements can be made without departing from the technical principles of the present application, and these improvements and replacements should also be considered as the protection scope 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 further 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 the signals of various metering indicators and generate real-time parameters of each metering indicator; A monitoring unit, comprising 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; The central control unit includes: 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 within 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; A correction module is used to determine whether to correct the coal quantity monitoring model of each monitoring period; The second processing module is further configured to: Get all disturbance indicators; Generate multiple operation scenarios based on all disturbance indicators and establish an operation scenario sequence A, A=(a1, a2…ai…an), where ai is the i-th operation scenario and n is the number of operation scenarios; According to the sequence of running scenarios A, set ai as the target running scenario in sequence; Obtain historical operating data of the target operating scenario, and generate a measurement deviation value of the target operating scenario based on the historical operating 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; The third processing module is further configured to: Obtain the operating parameters of each disturbance indicator at the current adjustment time node; Establish a disturbance index reference value sequence F for the current adjustment time node, F = (f1, f2…fw…fm), where fw is the real-time reference value of the wth disturbance index at the current monitoring time node; m is the number of disturbance indicators; Generate similarity evaluation values ​​for each operating 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 operating scenario corresponding to the maximum value dmax in the similarity 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 measurement model.

2. The DCS-based coal feeder metering system according to claim 1, characterized in that: Generate similarity ratings for various operational scenarios, including: Select the target operating scenario according to the operating scenario sequence A; Generate a similarity evaluation value d with the target operation scenario; d=U×{ [βw×(fw-f'w) 2 ]}; Wherein, βw is the influencing factor of the w-th disturbance index; f'w is the reference value of the w-th disturbance index in the target operation scenario; U is the conversion coefficient; Generate similarity evaluation values ​​for each operating scenario in turn.

3. The DCS-based coal feeder metering system according to claim 2, 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 the entire time interval; Obtain the coal quantity monitoring curve of the current feedback time node and establish the coal quantity series C, C= (c1, c2…c s …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; c s is the coal quantity value in the sth time interval within the current monitoring period; Obtain the operating parameters of each disturbance index at the current feedback time node; Generate the fluctuation evaluation value g at the current feedback time node; Judge whether to generate a correction instruction at the current feedback time node according to the fluctuation evaluation value g.

4. The DCS-based coal feeder metering system according to claim 3, characterized in that: The generation of the fluctuation evaluation value g at the current feedback time node includes: g=e1×Q1×{ [βw×(Δfw-fw) 2 ]}+e2×Q2× Ks; Ks={(c s / t s )-(1 / 2)×[(c s-1 / t s-1 )+(c s+1 / t s+1) ]} 2 ; Wherein, 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; Δfw is the real-time reference value of the wth disturbance indicator at the current feedback time node; t s is the duration of the sth time interval in the current adjustment cycle.

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

6. The DCS-based coal feeder metering system according to claim 5, characterized in that: The generation of the overhaul evaluation value h at the current feedback time node includes: j=e3×Q3×{ [βw×(Δfw-fw) 2 ]}+e4×Q4×{ [βw×(Δfw-θfw) 2 ]}; h = α × j; Where, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; θfw is the reference threshold of the wth disturbance index; α is a compensation coefficient set based on the fluctuation evaluation value at the current feedback time node.

7. The DCS-based coal feeder metering system according to claim 6, characterized in that: Judging whether to generate a correction instruction according to the overhaul evaluation value h includes: Preset the first overhaul evaluation value threshold H1; If h < H1, a second-level correction instruction is generated at the current feedback time node; If h > H1, a first-level overhaul instruction is generated at the current feedback time node, and an overhaul plan is generated according to the first-level overhaul instruction.

Images