Monitoring method for coal conveying separate warehouse metering

Abstract

The invention relates to the technical field of coal bunker monitoring, in particular to a monitoring method for coal conveying bunker division metering. Comprising the following steps: establishing a sub-bunker sequence according to coal bunker equipment parameters, and sequentially generating coal feeding quantity monitoring parameters of each sub-bunker; according to the coal plough state parameters, the belt weigher weight signals and the coal feeding amount monitoring parameters, the coal feeding amount of each branch bin is generated; acquiring operation parameters of the coal bunker equipment according to the preset feedback time node, and judging whether correction parameters are generated or not according to the operation parameters; the instantaneous quantity of the coal as fired electronic belt scale is collected, the computer technology is combined with operation signals of related equipment, and monitoring parameters of the coal feeding quantity of each branch bin are set, so that the coal feeding quantity of each branch bin is monitored, the data feedback timeliness of coal conveying data is improved, excessive metering equipment does not need to be input, and the overall operation cost is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of coal bunker monitoring, and in particular to a monitoring method for coal bunker metering. Background Art

[0002] Bin metering plays an important role in the coal transportation system of thermal power plants. It can provide a basis for coal consumption analysis and boiler unit operating efficiency analysis, as well as provide comparison for coal sample analysis and reference data for adjusting the proportion of blended coal. Bin metering can also directly participate in the coal blending control process of the coal transportation system, provide real-time information feedback for automatic coal blending, and realize quantitative coal blending control while accurately measuring the amount of coal added to each coal bin or each group of coal bins.

[0003] The traditional metering system for each furnace and each bin is to use a belt scale installed on the coal distribution machine at the coal bin outlet for weighing or directly install a weighing coal feeder. This solution has a high operating cost and cannot achieve real-time monitoring of the coal delivery volume of each bin, and the monitoring accuracy of the coal delivery of each bin is poor. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a monitoring method for coal transport bin metering, aiming to improve the monitoring efficiency of coal transport bins and reduce operating costs.

[0005] In some embodiments of the present application, by collecting the instantaneous amount of coal entering the furnace on the electronic belt scale and combining it with the operating signals of related equipment through computer technology, the monitoring parameters of the coal input amount in each compartment are set, thereby realizing the monitoring of the coal input amount in each compartment and improving the timeliness of data feedback on coal transportation data, without investing in too much metering equipment, and reducing the overall operating cost.

[0006] In some embodiments of the present application, the coal weighing signal collected by the belt scale is intercepted based on the coal plow status and delay time to calculate the initial coal input into each sub-bin, and a corresponding coal quantity compensation model is established according to the equipment parameters of each sub-bin, thereby reducing the disturbance of equipment operation on the coal quantity calculation and avoiding deviations in the coal input quantity calculation process. At the same time, according to the preset time feedback time node, the delay time and coal quantity compensation model of each sub-bin are cyclically corrected to improve the monitoring accuracy of the coal input into each sub-bin.

[0007] In some embodiments of the present application, a method for monitoring coal transport bin metering is provided, comprising:

[0008] Establish a sub-bin series according to the coal bunker equipment parameters, and generate the coal input monitoring parameters of each sub-bin in turn;

[0009] Generate the coal input quantity of each sub-bin according to the coal plow status parameters, belt scale weight signal and coal input monitoring parameters;

[0010] Obtain the operating parameters of the coal bunker equipment according to the preset feedback time node, and determine whether to generate correction parameters based on the operating parameters;

[0011] Among them, the sub-bin sequence A, A = (a1, a2...an), where ai is the i-th sub-bin and n is the number of sub-bins.

[0012] In some embodiments of the present application, when generating a coal input monitoring model for each sub-bin, the following steps are included:

[0013] Select the target sub-warehouses in sequence according to the sub-warehouse sequence A;

[0014] Obtain the conveying parameters between the belt scale and the target sub-bin;

[0015] Generate the delay time between the target bin and the belt scale according to the belt conveyor parameters;

[0016] Generate the delay time between each sub-bin and the belt scale in sequence;

[0017] Establish a delay time series T, T = (t1, t2...tn), where ti is the delay time of the i-th sub-warehouse.

[0018] In some embodiments of the present application, when generating the coal input monitoring model of each sub-bin, it also includes:

[0019] Get the equipment parameters of the target sub-warehouse;

[0020] Extract various deviation correction index parameters of the target bin according to equipment parameters and transportation parameters;

[0021] Establish a coal quantity compensation model for the target bin based on all deviation correction index parameters;

[0022] Generate the coal quantity compensation model of each sub-bin in turn;

[0023] A coal quantity compensation model series Q is established, Q = (q1, q2...qn), where qi is the coal quantity compensation model of the i-th compartment.

[0024] In some embodiments of the present application, when generating the coal input amount of each sub-bin, it includes:

[0025] Generate coal flow monitoring curve according to belt scale weight signal;

[0026] According to the real-time coal plow status parameters, the current bin to be added is set as the bin to be measured;

[0027] Obtain the opening time node of the sub-bin to be measured, the coal feeding time and the corresponding delay time, and set the interception parameters of the coal flow monitoring curve;

[0028] Generate the initial coal input quantity of the coal bunker to be measured according to the interception result;

[0029] Correct the initial coal input quantity according to the compensation model of the coal quantity of the sub-bin to be measured;

[0030] The first-level coal input quantity of the compartment to be measured is generated according to the correction result.

[0031] In some embodiments of the present application, when determining whether to generate a correction parameter according to the operating parameter, the method includes:

[0032] Generate a belt speed curve between the current feedback time node and the previous feedback time node according to the operating parameters;

[0033] Randomly select points from the belt speed curve and establish a speed reference value sequence V, V = (v1, v2...vm), where m is the number of sampling points; vi is the speed reference value of the i-th sampling point;

[0034] Generate a speed fluctuation evaluation value a according to the speed reference value sequence V;

[0035]

[0036] 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; △v is the average value of all data in the speed reference value series V; v ′ To establish the standard value of belt speed for the delay time series T;

[0037] Whether to generate a correction instruction for the delay time sequence T is determined according to the speed fluctuation value a.

[0038] In some embodiments of the present application, when determining whether to generate a correction instruction for the delay time length sequence T, the method includes:

[0039] A first speed fluctuation evaluation value threshold A1 and a second speed fluctuation evaluation value threshold A2 are preset, and A1<A2;

[0040] If a≤A1, no correction instruction is generated;

[0041] If A1<a≤A2, a first-level correction instruction is generated, and the time interval between the current feedback time node and the next feedback time node is set according to the first-level correction instruction;

[0042] If a>A1, generate a secondary correction instruction, update the conveying parameters between the belt scale and each sub-bin according to the secondary correction instruction, and correct the delay time series T according to the update result.

[0043] In some embodiments of the present application, when determining whether to generate correction parameters according to the operating parameters, it also includes:

[0044] Select the target coal quantity compensation model in sequence according to the coal quantity compensation model series Q;

[0045] Obtaining the operating parameters of the sub-compartment corresponding to the target coal quantity compensation model between the current feedback time node and the previous feedback time node;

[0046] Generate a reference value sequence B of the deviation correction index of the sub-compartment corresponding to the target coal quantity compensation model at the current feedback time node, B = (b1, b2, ... br), where bi is the reference value of the i-th deviation correction index at the i-th current feedback time node; r is the number of deviation correction indicators;

[0047] Generate the deviation evaluation value h of the target coal quantity compensation model according to the deviation correction index reference value series B;

[0048]

[0049] Among them, f is the compensation coefficient set based on the call parameters; αi is the influencing factor of the i-th correction index; b'i is the standard reference value of the i-th correction index in the target coal quantity compensation model;

[0050] Generate deviation evaluation values ​​of various coal quantity compensation models in sequence;

[0051] Establish a deviation evaluation value sequence H at the current feedback time node, H = (h1, h2, ...hn), where hi is the deviation evaluation value of the i-th coal quantity compensation model at the current feedback time node;

[0052] It is determined whether to generate a model update instruction based on the deviation evaluation value sequence H.

[0053] In some embodiments of the present application, when determining whether to generate a model update instruction according to the deviation evaluation value sequence H, the method includes:

[0054] Preset a first deviation evaluation value threshold H1;

[0055] If hi ≥ H1, the current feedback time node generates a model update instruction for the i-th coal quantity compensation model;

[0056] If hi

[0057] In some embodiments of the present application, when the compensation coefficient is set based on the calling parameter, it includes:

[0058] Based on the call parameters between the current feedback time node and the previous feedback time node;

[0059] Generate the total number of calls C and the number of calls c1 of the target coal quantity compensation model

[0060] ​Generate a first reference evaluation value D1 according to the number of calls c1;

[0061] The second reference evaluation value D2 is set according to the ratio between the number of calls c1 and the total number of calls C;

[0062] Generate a compensation evaluation value k of a target coal quantity compensation model according to the first reference evaluation value D1 and the second reference evaluation value D2;

[0063] k=e3*D1+e4*H2;

[0064] Wherein, e3 is the preset third weight coefficient, and e4 is the preset fourth weight coefficient;

[0065] The compensation coefficient f of the target coal quantity compensation model is set according to the compensation evaluation value k.

[0066] In some embodiments of the present application, when the compensation coefficient f of the target coal quantity compensation model is set according to the compensation evaluation value k, it includes:

[0067] Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4);

[0068] If the compensation evaluation value k is within the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f1, that is, f=f1;

[0069] If the compensation evaluation value k is within the preset second compensation evaluation value interval, the compensation coefficient f is set to the preset second compensation coefficient f2, that is, f=f2;

[0070] If the compensation evaluation value k is in the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f3, that is, f=f3; and 1<f1<f2<f3.

[0071] Compared with the prior art, the monitoring method for coal transport and bin metering in the embodiment of the present application has the following beneficial effects:

[0072] By collecting the instantaneous amount of coal entering the furnace on the electronic belt scale and combining it with the operating signals of related equipment through computer technology, the monitoring parameters of the coal input into each compartment are set, thereby realizing the monitoring of the coal input into each compartment and improving the data feedback timeliness of coal transportation data. There is no need to invest in too much metering equipment, thus reducing the overall operating cost.

[0073] Based on the coal plow status and delay time, the coal weighing signal collected by the belt scale is intercepted to calculate the initial coal input amount of each sub-bin, and the corresponding coal compensation model is established according to the equipment parameters of each sub-bin, so as to reduce the disturbance of equipment operation on the coal quantity calculation and avoid deviations in the coal input quantity calculation process. At the same time, according to the preset time feedback time node, the delay time and coal quantity compensation model of each sub-bin are cyclically corrected to improve the monitoring accuracy of the coal input amount of each sub-bin. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a flow chart of a monitoring method for coal transport and bin metering in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0075] 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.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] like Figure 1 As shown, a monitoring method for coal transport and bin metering in a preferred embodiment of the present application includes:

[0080] S101: Establish a sub-bin sequence according to the coal bunker equipment parameters, and generate coal input monitoring parameters of each sub-bin in sequence;

[0081] S102: generating the coal input amount of each sub-bin according to the coal plow state parameters, the belt scale weight signal and the coal input amount monitoring parameters;

[0082] S103: acquiring the operating parameters of the coal bunker equipment according to the preset feedback time node, and determining whether to generate correction parameters according to the operating parameters;

[0083] Among them, the sub-bin sequence A, A = (a1, a2...an), where ai is the i-th sub-bin and n is the number of sub-bins.

[0084] Specifically, when generating the coal input monitoring model for each sub-bin, it includes:

[0085] Select the target sub-warehouses in sequence according to the sub-warehouse sequence A;

[0086] Obtain the conveying parameters between the belt scale and the target sub-bin;

[0087] Generate the delay time between the target bin and the belt scale according to the belt conveyor parameters;

[0088] Generate the delay time between each sub-bin and the belt scale in sequence;

[0089] Establish a delay time series T, T = (t1, t2...tn), where ti is the delay time of the i-th sub-warehouse.

[0090] Specifically, the delay time refers to the time required for the coal powder at the belt scale to reach the sub-bin. By establishing a delay time series to build a virtual scale for each sub-bin, the weighing signal of the belt scale is intercepted to monitor the amount of coal in each sub-bin. This improves the accuracy of sub-bin measurement and reduces overall operating costs.

[0091] Specifically, when generating the coal input monitoring model for each sub-bin, it also includes:

[0092] Get the equipment parameters of the target sub-warehouse;

[0093] Extract various deviation correction index parameters of the target bin according to equipment parameters and transportation parameters;

[0094] Establish a coal quantity compensation model for the target bin based on all deviation correction index parameters;

[0095] Generate the coal quantity compensation model of each sub-bin in turn;

[0096] A coal quantity compensation model series Q is established, Q = (q1, q2...qn), where qi is the coal quantity compensation model of the i-th compartment.

[0097] Specifically, the correction indicators include but are not limited to the lifting and lowering duration of the coal plow, the possibility of coal leakage from the coal plow and belt, interference signals, belt scale measurement accuracy and other parameters. By establishing a coal quantity compensation function corresponding to each compartment, the disturbance of various environmental factors on the calculation of coal input quantity is eliminated, thereby improving the accuracy of compartment metering and the monitoring accuracy of coal transportation compartment metering.

[0098] In a preferred embodiment of the present application, when generating the coal input amount of each sub-bin, it includes:

[0099] Generate coal flow monitoring curve according to belt scale weight signal;

[0100] According to the real-time coal plow status parameters, the current bin to be added is set as the bin to be measured;

[0101] Obtain the opening time node of the sub-bin to be measured, the coal feeding time and the corresponding delay time, and set the interception parameters of the coal flow monitoring curve;

[0102] Generate the initial coal input quantity of the coal bunker to be measured according to the interception result;

[0103] Correct the initial coal input quantity according to the compensation model of the coal quantity of the sub-bin to be measured;

[0104] The first-level coal input quantity of the compartment to be measured is generated according to the correction result.

[0105] Specifically, in the above embodiment, the coal weighing signal collected by the belt scale is intercepted based on the coal plow state parameter and the delay time, so as to calculate the initial coal input into each sub-bin, and establish a corresponding coal quantity compensation model according to the equipment parameters of each sub-bin, so as to reduce the disturbance of equipment operation on the coal quantity calculation and avoid deviation in the coal input quantity calculation process.

[0106] In a preferred embodiment of the present application, when determining whether to generate correction parameters according to the operating parameters, it includes:

[0107] Generate a belt speed curve between the current feedback time node and the previous feedback time node according to the operating parameters;

[0108] Randomly select points from the belt speed curve and establish a speed reference value sequence V, V = (v1, v2...vm), where m is the number of sampling points; vi is the speed reference value of the i-th sampling point;

[0109] Generate a speed fluctuation evaluation value a according to the speed reference value sequence V;

[0110]

[0111] 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; △v is the average value of all data in the speed reference value series V; v ′ To establish the standard value of belt speed for the delay time series T;

[0112] Whether to generate a correction instruction for the delay time sequence T is determined according to the speed fluctuation value a.

[0113] Specifically, each evaluation index is normalized by presetting the first fixed coefficient and the second fixed coefficient so that each index is within the same value range. The larger the speed fluctuation evaluation value, the more unstable the current speed of the coal conveyor belt is, and the greater the disturbance to the delay time series is. If it is not corrected in time, it will cause a decrease in the accuracy of the bin metering.

[0114] Specifically, the standard value of the belt speed refers to the current delay time series set based on v'.

[0115] Specifically, when determining whether to generate a correction instruction for the delay time sequence T, it includes:

[0116] A first speed fluctuation evaluation value threshold A1 and a second speed fluctuation evaluation value threshold A2 are preset, and A1<A2;

[0117] If a≤A1, no correction instruction is generated;

[0118] If A1<a≤A2, a first-level correction instruction is generated, and the time interval between the current feedback time node and the next feedback time node is set according to the first-level correction instruction;

[0119] If a>A1, generate a secondary correction instruction, update the conveying parameters between the belt scale and each sub-bin according to the secondary correction instruction, and correct the delay time series T according to the update result.

[0120] Specifically, the first-level correction instruction means that although the current operating speed has certain fluctuations, it has little impact on the accuracy of sub-warehouse measurement. At this time, it is necessary to reduce the time interval between feedback time nodes and conduct continuous monitoring and judgment to avoid the reduction of sub-warehouse measurement accuracy due to large cumulative deviations. That is, if the first-level correction instruction is generated within the continuous feedback time nodes, the delay time series needs to be updated.

[0121] Specifically, the secondary correction instruction means that the running speed deviation is large, and the standard value of the belt speed needs to be recalibrated to update the delay time series. At the same time, if the belt speed is in a variable speed motion, a corresponding relationship with the delay time needs to be established to ensure that the delay time series is in dynamic consistency with the belt speed. Avoid deviations in the measurement results.

[0122] In a preferred embodiment of the present application, when determining whether to generate correction parameters according to the operating parameters, it also includes:

[0123] Select the target coal quantity compensation model in sequence according to the coal quantity compensation model series Q;

[0124] Obtaining the operating parameters of the sub-compartment corresponding to the target coal quantity compensation model between the current feedback time node and the previous feedback time node;

[0125] Generate a reference value sequence B of the deviation correction index of the sub-compartment corresponding to the target coal quantity compensation model at the current feedback time node, B = (b1, b2, ... br), where bi is the reference value of the i-th deviation correction index at the i-th current feedback time node; r is the number of deviation correction indicators;

[0126] Generate the deviation evaluation value h of the target coal quantity compensation model according to the deviation correction index reference value series B;

[0127]

[0128] Among them, f is the compensation coefficient set based on the call parameters; αi is the influencing factor of the i-th correction index; b'i is the standard reference value of the i-th correction index in the target coal quantity compensation model;

[0129] Generate deviation evaluation values ​​of various coal quantity compensation models in sequence;

[0130] Establish a deviation evaluation value sequence H at the current feedback time node, H = (h1, h2, ...hn), where hi is the deviation evaluation value of the i-th coal quantity compensation model at the current feedback time node;

[0131] It is determined whether to generate a model update instruction based on the deviation evaluation value sequence H.

[0132] Specifically, when determining whether to generate a model update instruction according to the deviation evaluation value sequence H, it includes:

[0133] Preset a first deviation evaluation value threshold H1;

[0134] If hi ≥ H1, the current feedback time node generates a model update instruction for the i-th coal quantity compensation model;

[0135] If hi

[0136] Specifically, the real-time value of the correction index of the corresponding coal quantity compensation model is corrected according to the model update instruction, thereby updating the corresponding coal quantity compensation model.

[0137] Specifically, when setting the compensation coefficient based on the call parameters, it includes: ​

[0138] Based on the call parameters between the current feedback time node and the previous feedback time node;

[0139] Generate the total number of calls C and the number of calls c1 of the target coal quantity compensation model

[0140] Generate a first reference evaluation value D1 according to the number of calls c1;

[0141] The second reference evaluation value D2 is set according to the ratio between the number of calls c1 and the total number of calls C;

[0142] Generate a compensation evaluation value k of a target coal quantity compensation model according to the first reference evaluation value D1 and the second reference evaluation value D2;

[0143] k=e3*D1+e4*H2;

[0144] Wherein, e3 is the preset third weight coefficient, and e4 is the preset fourth weight coefficient;

[0145] The compensation coefficient f of the target coal quantity compensation model is set according to the compensation evaluation value k.

[0146] Specifically, the first reference evaluation value and the second reference evaluation value are in the same value range. The greater the number of calls, the greater the corresponding first reference evaluation value. The greater the ratio between the number of calls and the total number of calls, the greater the corresponding second reference evaluation value.

[0147] Specifically, when setting the compensation coefficient f of the target coal quantity compensation model according to the compensation evaluation value k, it includes:

[0148] Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4);

[0149] If the compensation evaluation value k is within the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f1, that is, f=f1;

[0150] If the compensation evaluation value k is within the preset second compensation evaluation value interval, the compensation coefficient f is set to the preset second compensation coefficient f2, that is, f=f2;

[0151] If the compensation evaluation value k is in the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f3, that is, f=f3; and 1<f1<f2<f3.

[0152] It can be understood that in the above embodiment, the delay time and coal quantity compensation model of each sub-bin are cyclically corrected according to the preset time feedback time node, so as to improve the monitoring accuracy of the coal input into each sub-bin.

[0153] According to the first concept of the present application, by collecting the instantaneous amount of coal entering the furnace from the electronic belt scale and combining it with the operating signals of related equipment through computer technology, the monitoring parameters of the coal input into each compartment are set, thereby realizing the monitoring of the coal input into each compartment and improving the data feedback timeliness of coal transportation data. There is no need to invest in too much metering equipment, thereby reducing the overall operating cost.

[0154] According to the second concept of the present application, the coal weighing signal collected by the belt scale is intercepted based on the coal plow state parameters and the delay time, so as to calculate the initial coal input into each sub-bin, and establish a corresponding coal quantity compensation model according to the equipment parameters of each sub-bin, so as to reduce the disturbance of equipment operation on the coal quantity calculation and avoid deviations in the coal input quantity calculation process. At the same time, according to the preset time feedback time node, the delay time and coal quantity compensation model of each sub-bin are cyclically corrected to improve the monitoring accuracy of the coal input into each sub-bin.

[0155] 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 monitoring method for coal transport and storage metering, characterized in that: include: Establish a sub-bin series according to the coal bunker equipment parameters, and generate the coal input monitoring parameters of each sub-bin in turn; Generate the coal input quantity of each sub-bin according to the coal plow status parameters, belt scale weight signal and coal input monitoring parameters; Obtain the operating parameters of the coal bunker equipment according to the preset feedback time node, and determine whether to generate correction parameters based on the operating parameters; Among them, the sub-bin sequence A, A = (a1, a2...an), where ai is the i-th sub-bin and n is the number of sub-bins.

2. The monitoring method for coal transport and storage metering according to claim 1, characterized in that: When generating the coal input monitoring model for each sub-bin, it includes: Select the target sub-warehouses in sequence according to the sub-warehouse sequence A; Obtain the conveying parameters between the belt scale and the target sub-bin; Generate the delay time between the target bin and the belt scale according to the belt conveyor parameters; Generate the delay time between each sub-bin and the belt scale in sequence; Establish a delay time series T, T = (t1, t2...tn), where ti is the delay time of the i-th sub-warehouse.

3. The monitoring method for coal transport and storage metering according to claim 2, characterized in that: When generating the coal input monitoring model for each sub-bin, it also includes: Get the device parameters of the target sub-warehouse; Extract various deviation correction index parameters of the target bin according to equipment parameters and transportation parameters; Establish a coal quantity compensation model for the target bin based on all deviation correction index parameters; Generate the coal quantity compensation model of each sub-bin in turn; A coal quantity compensation model series Q is established, Q = (q1, q2...qn), where qi is the coal quantity compensation model of the i-th compartment.

4. The monitoring method for coal transport and storage metering according to claim 3 is characterized in that: When generating the coal input quantity for each sub-bin, include: Generate coal flow monitoring curve according to belt scale weight signal; According to the real-time coal plow status parameters, the current bin to be added is set as the bin to be measured; Obtain the opening time node of the sub-bin to be measured, the coal feeding time and the corresponding delay time, and set the interception parameters of the coal flow monitoring curve; Generate the initial coal input quantity of the coal bunker to be measured according to the interception result; Correct the initial coal input quantity according to the compensation model of the coal quantity of the sub-bin to be measured; The first-level coal input quantity of the compartment to be measured is generated according to the correction result.

5. The monitoring method for coal transport and storage metering according to claim 4, characterized in that: When judging whether to generate correction parameters according to the operating parameters, it includes: Generate a belt speed curve between the current feedback time node and the previous feedback time node according to the operating parameters; Randomly select points from the belt speed curve and establish a speed reference value sequence V, V = (v1, v2...vm), where m is the number of sampling points; vi is the speed reference value of the i-th sampling point; Generate a speed fluctuation evaluation value a according to the speed reference value sequence V; 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; △v is the average value of all data in the speed reference value series V; v ′ To establish the standard value of belt speed for the delay time series T; Whether to generate a correction instruction for the delay time sequence T is determined according to the speed fluctuation value a.

6. The monitoring method for coal transport and storage metering according to claim 5, characterized in that: When determining whether to generate a correction instruction for the delay time sequence T, it includes: A first speed fluctuation evaluation value threshold A1 and a second speed fluctuation evaluation value threshold A2 are preset, and A1<A2; If a≤A1, no correction instruction is generated; If A1<a≤A2, a first-level correction instruction is generated, and the time interval between the current feedback time node and the next feedback time node is set according to the first-level correction instruction; If a>A1, generate a secondary correction instruction, update the conveying parameters between the belt scale and each sub-bin according to the secondary correction instruction, and correct the delay time series T according to the update result.

7. The monitoring method for coal transport and storage metering according to claim 6, characterized in that: When judging whether to generate correction parameters according to the operating parameters, it also includes: Select the target coal quantity compensation model in sequence according to the coal quantity compensation model series Q; Obtaining the operating parameters of the sub-compartment corresponding to the target coal quantity compensation model between the current feedback time node and the previous feedback time node; Generate a reference value sequence B of the deviation correction index of the sub-compartment corresponding to the target coal quantity compensation model at the current feedback time node, B = (b1, b2, ... br), where bi is the reference value of the i-th deviation correction index at the i-th current feedback time node; r is the number of deviation correction indicators; Generate the deviation evaluation value h of the target coal quantity compensation model according to the deviation correction index reference value series B; Among them, f is the compensation coefficient set based on the call parameters; αi is the influencing factor of the i-th correction index; b'i is the standard reference value of the i-th correction index in the target coal quantity compensation model; Generate deviation evaluation values ​​of various coal quantity compensation models in sequence; Establish a deviation evaluation value sequence H at the current feedback time node, H = (h1, h2, ...hn), where hi is the deviation evaluation value of the i-th coal quantity compensation model at the current feedback time node; It is determined whether to generate a model update instruction based on the deviation evaluation value sequence H.

8. The monitoring method for coal transport and storage metering according to claim 7, characterized in that: When judging whether to generate a model update instruction according to the deviation evaluation value sequence H, it includes: Preset a first deviation evaluation value threshold H1; If hi ≥ H1, the current feedback time node generates a model update instruction for the i-th coal quantity compensation model; If hi<H1, the current feedback time node does not generate a model update instruction for the i-th coal quantity compensation model.

9. The monitoring method for coal transport and storage metering according to claim 7, characterized in that: When setting the compensation coefficient based on the call parameters, including: Based on the call parameters between the current feedback time node and the previous feedback time node; Generate the total number of calls C and the number of calls c1 of the target coal quantity compensation model Generate a first reference evaluation value D1 according to the number of calls c1; The second reference evaluation value D2 is set according to the ratio between the number of calls c1 and the total number of calls C; Generate a compensation evaluation value k of a target coal quantity compensation model according to the first reference evaluation value D1 and the second reference evaluation value D2; k=e3*D1+e4*H2; Wherein, e3 is the preset third weight coefficient, and e4 is the preset fourth weight coefficient; The compensation coefficient f of the target coal quantity compensation model is set according to the compensation evaluation value k.

10. The monitoring method for coal transport and storage metering according to claim 9, characterized in that: When setting the compensation coefficient f of the target coal quantity compensation model according to the compensation evaluation value k, it includes: Presetting a first compensation evaluation value interval (K1, K2), a second compensation evaluation value interval (K2, K3) and a third compensation evaluation value interval (K3, K4); If the compensation evaluation value k is within the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f1, that is, f=f1; If the compensation evaluation value k is within the preset second compensation evaluation value interval, the compensation coefficient f is set to the preset second compensation coefficient f2, that is, f=f2; If the compensation evaluation value k is in the preset first compensation evaluation value interval, the compensation coefficient f is set to the preset first compensation coefficient f3, that is, f=f3; and 1<f1<f2<f3.

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