CN117724409A - Control method and system for belt sampler - Google Patents
Control method and system for belt sampler Download PDFInfo
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- CN117724409A CN117724409A CN202311412747.3A CN202311412747A CN117724409A CN 117724409 A CN117724409 A CN 117724409A CN 202311412747 A CN202311412747 A CN 202311412747A CN 117724409 A CN117724409 A CN 117724409A
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- 238000011217 control strategy Methods 0.000 claims abstract description 68
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Abstract
The utility model discloses a control method and system for belt sampling machine, relate to belt sampling machine control technical field, including analyzing the past operation log of power plant, confirm the fire coal consumption characteristic of different time nodes, sampling machine sampling information and sampling machine control strategy, and carry out the correlation with the above-mentioned data of different time nodes, produce information correlation group, and carry out first precision evaluation and second precision evaluation to information correlation group based on sampling node and sampling amount, and based on first precision evaluation and second precision evaluation, screen first preferred information correlation group, and construct the sampling machine control model, and confirm the sampling machine control strategy in the sampling process of sampling machine later stage based on the sampling machine control model, the above-mentioned scheme of this application has realized that the effect of determining sampling machine control strategy according to fire coal consumption characteristic, compared with the sampling mode of original preset time node, the number of times of invalid sampling has been reduced, optimize the sampling logic to the coal.
Description
Technical Field
The invention relates to the technical field of belt sampling machine control, in particular to a control method and a control system for a belt sampling machine.
Background
The automatic control system of the belt sampler in the coal-fired power plant is a key component and is used for sampling coal for analysis, quality control and monitoring, in the prior art, the sampling work of the sampler is often driven to collect according to a preset time node, the sampling mode is used for driving the sampler to collect the coal, the sampling mode is relatively coarse, and the sampling operation of the sampler cannot be accurately regulated and controlled according to the consumption characteristics of the coal.
Disclosure of Invention
The invention aims to provide a method and a system for accurately regulating and controlling sampling operation of a sampling machine according to the consumption characteristics of fire coal.
The application discloses a control method for a belt sampler, comprising the following steps:
acquiring a power plant past operation log, analyzing the power plant past operation log, and determining the coal consumption characteristics, sampling information of a sampling machine and a control strategy of the sampling machine of different time nodes;
carrying out causal relation analysis on the fire coal consumption characteristics, sampling information of the sampling machines and control strategies of the sampling machines of different time nodes, and associating the fire coal consumption characteristics, the sampling information of the sampling machines and the control strategies of the sampling machines of the different time nodes according to the causal relation to generate an information association group;
analyzing sampling information of sampling machines in the information association group, and determining sampling nodes and sampling quantity of sampling;
performing first accuracy evaluation and second accuracy evaluation on the information association group based on the sampling node and the sampling quantity, and screening out a first preferred information association group based on the first accuracy evaluation and the second accuracy evaluation;
and constructing a sampler control model based on a plurality of first preferred information association groups, and determining a sampler control strategy in the later sampling process of the sampler based on the sampler control model.
In some embodiments of the present application, the control method for a belt sampler further includes:
according to the control test of the sampling machine, a coal consumption-sampling machine control strategy corresponding table is established, the coal consumption-sampling machine control strategy corresponding table comprises a plurality of test coal consumption characteristics, and each test coal consumption characteristic is correspondingly associated with a test sampling machine control strategy;
and updating the test coal consumption characteristics and the test sampler control strategy in the coal consumption-sampler control strategy corresponding table into a sampler control model.
In some embodiments of the present application, a method of causal analysis of coal consumption characteristics, sampler sampling information, and sampler control strategies for different time nodes includes:
establishing a time reference axis;
establishing a fuel coal consumption curve aiming at the fuel coal consumption characteristics, wherein the abscissa of the fuel coal consumption curve is time and the ordinate is fuel coal consumption, and establishing a sampling quantity change curve aiming at sampling information of a sampler, wherein the abscissa of the sampling quantity change curve is time and the ordinate is sampling quantity;
aligning a time reference axis, a coal consumption curve and a sampling amount variation curve, and marking control on the time reference axis based on a time node to which a control strategy is applied;
based on a preset time reference interval, carrying out section-by-section cutting on a fuel coal consumption curve, and defining a plurality of fuel coal consumption curve sections on the fuel coal consumption curve;
the method comprises the steps of configuring combustion completion consumption time and belt conveying time for an actual coal pile corresponding to each coal consumption curve segment, and determining sampling time nodes corresponding to the coal consumption curve segments based on the sum of the coal consumption time and the belt conveying time;
and associating the coal consumption curve segment with a control strategy marked on a time reference axis based on the sampling time node corresponding to the coal consumption curve segment.
In some embodiments of the present application, a method of performing a first accuracy assessment of a sampling node includes:
classifying the information association groups with similar characteristics meeting preset requirements, and calculating average sampling nodes of sampling nodes in the information association groups under the same category;
calculating the sampling node difference between the sampling nodes and the average sampling node when the first accuracy evaluation is carried out on the sampling nodes of the information association group, and determining the first accuracy evaluation of the information association group based on the sampling node difference;
wherein the expression for calculating the first accuracy assessment of the information association group is:
wherein j is n-1 Evaluating a corresponding value, k, for a first accuracy of an nth information association group 1 Evaluating a conversion coefficient, t, for a first accuracy n Is the sampling node of the nth information association group.
In some embodiments of the present application, a method for classifying an information association group with similar characteristics meeting preset requirements includes:
analyzing the coal consumption characteristics in the information association group, recording the coal consumption of preset time nodes in the coal consumption characteristics, and generating a coal consumption matrix [ x ] i ]；
The corresponding fuel consumption matrix [ x ] in each two groups of information association groups is compared i ]And if the difference value of the fuel coal consumption amounts with the corresponding order matrix factors is smaller than a preset value and the matrix factor pair with the difference value smaller than the preset value is larger than a preset logarithm, classifying the two information association groups in the same way.
In some embodiments of the present application, a method of performing a second accuracy assessment of a sample size includes:
analyzing sampling information of the sampling machines in the information association group, determining the sampling amount of the sampling machine, and carrying out second accuracy evaluation on the sampling amount based on the acquisition difference between the sampling amount and the preset sampling amount.
In some embodiments of the present application, a method for screening out a first preferred information association set based on a first accuracy assessment and a second accuracy assessment includes:
a first preset accurate evaluation threshold value, a second preset accurate evaluation threshold value and a third preset accurate evaluation threshold value are set for the first accurate evaluation, if the first accurate evaluation is smaller than the first preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be unqualified, if the first accurate evaluation is larger than or equal to the first preset accurate evaluation threshold value and smaller than the second preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be qualified, and if the first accurate evaluation is larger than or equal to the third preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be excellent;
a fourth preset accurate evaluation threshold value, a fifth preset accurate evaluation threshold value and a sixth preset accurate evaluation threshold value are set for the second accuracy evaluation, if the second accuracy evaluation is smaller than the fourth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified, and if the second accuracy evaluation is larger than or equal to the fifth preset accurate evaluation threshold value and smaller than the sixth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified;
based on the screening quantity requirement, a filtering condition of the first accuracy assessment and the second accuracy assessment is determined.
In some embodiments of the present application, the sampler control strategy includes: a driving duration and driving power of different time nodes.
In some embodiments of the present application, there is also disclosed a control system for a belt sampler, comprising:
the log analysis module is used for acquiring the past operation log of the power plant, analyzing the past operation log of the power plant and determining the coal consumption characteristics, sampling information of the sampling machine and control strategies of the sampling machine of different time nodes;
the data set generation module is used for carrying out causal relation analysis on the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of the different time nodes, and correlating the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of the different time nodes according to the causal relation to generate an information correlation set;
the first preferred information association group determining module is used for analyzing sampling information of sampling machines in the information association group, determining sampling nodes and sampling quantity of sampling, performing first precision evaluation and second precision evaluation on the information association group based on the sampling nodes and the sampling quantity, and screening out the first preferred information association group based on the first precision evaluation and the second precision evaluation;
the control strategy generation module is used for constructing a sampling machine control model based on a plurality of first preferred information association groups and determining a sampling machine control strategy in the later sampling process of the sampling machine based on the sampling machine control model.
The utility model discloses a control method and system for belt sampling machine, relate to belt sampling machine control technical field, including analyzing the past operation log of power plant, confirm the fire coal consumption characteristic of different time nodes, sampling machine sampling information and sampling machine control strategy, and carry out the correlation with the above-mentioned data of different time nodes, produce information correlation group, and carry out first precision evaluation and second precision evaluation to information correlation group based on sampling node and sampling amount, and based on first precision evaluation and second precision evaluation, screen first preferred information correlation group, and construct the sampling machine control model, and confirm the sampling machine control strategy in the sampling process of sampling machine later stage based on the sampling machine control model, the above-mentioned scheme of this application has realized that the effect of determining sampling machine control strategy according to fire coal consumption characteristic, compared with the sampling mode of original preset time node, the number of times of invalid sampling has been reduced, optimize the sampling logic to the coal.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
Fig. 1 is a method step diagram of a control method for a belt sampler disclosed in an embodiment of the present application.
Detailed Description
The technical scheme of the invention is further described below through the attached drawings and the embodiments.
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments, it being understood that the preferred embodiments described herein are for illustrating and explaining the present invention only and are not to be construed as limiting the scope of the present invention, and that some insubstantial modifications and adaptations can be made by those skilled in the art in light of the following disclosure. In the present invention, unless explicitly specified and defined otherwise, technical terms used in the present application should be construed in a general sense as understood by those skilled in the art to which the present invention pertains.
Examples:
the invention aims to provide a method and a system for accurately regulating and controlling sampling operation of a sampling machine according to the consumption characteristics of fire coal.
The application discloses a control method for a belt sampler, referring to fig. 1, comprising:
step S100, a power plant past operation log is obtained, analysis is carried out on the power plant past operation log, and coal consumption characteristics, sampling information of a sampling machine and a control strategy of the sampling machine of different time nodes are determined.
It should be noted that in this step, the power plant collects and examines past travel logs, with particular attention paid to information related to the sampling machine operation and the coal consumption characteristics. This includes operational records of the sampler, sampling time points, sampling amounts, coal consumption data, etc. Analysis of this data helps to understand the historical operating conditions of the power plant.
And step 200, performing causal relation analysis on the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of different time nodes, and correlating the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of different time nodes according to the causal relation to generate an information correlation group.
It is to be appreciated that in this step, the analyst uses data mining and statistical techniques to identify causal relationships between the coal consumption characteristics, the sampler sampling information, and the sampler control strategy for the different time nodes. This helps determine the association between the individual elements and generates a set of information associations that aggregate the relevant information together.
And step S300, analyzing sampling information of the sampling machines in the information association group, and determining sampling nodes and sampling quantity of sampling.
It will be appreciated that in this step, the sampling information is sampled by the samplers in the information association set is emphasized to determine the sampling node (sampling time) and the sampling amount of the sampling. To study the operation log of a sampler and other data related to the operation of the sampler.
Step S400, performing first accuracy evaluation and second accuracy evaluation on the information association group based on the sampling node and the sampling quantity, and screening out a first preferred information association group based on the first accuracy evaluation and the second accuracy evaluation.
It will be appreciated that this step involves evaluating the information association to determine its accuracy. First, a first accuracy evaluation is performed, and then a second accuracy evaluation is performed. These evaluations may include checking the accuracy, repeatability, and reliability of the data in the information-bearing group. Based on the evaluation result, a first preferred information association group is screened out, which contains the most reliable information.
And S500, constructing a sampler control model based on a plurality of first preferred information association groups, and determining a sampler control strategy in the later sampling process of the sampler based on the sampler control model.
It will be appreciated that in this step, the data of the first preferred information association set is used to construct the sampler control model. This model may be a mathematical model, a statistical model, or other type of model for predicting the optimal control strategy of the sampler. These strategies may include adjustment of sampling time points, sampling amounts to optimize accuracy and efficiency of coal sampling.
The whole process aims at establishing a more accurate control strategy of the sampling machine by analyzing past operation data so as to improve the reliability and accuracy of sampling and ensure that the sampling machine plays an optimal role in the operation of a power plant.
In some embodiments of the present application, the control method for a belt sampler further includes:
the method comprises the steps of firstly, establishing a coal consumption-sampling machine control strategy corresponding table according to a sampling machine control test, wherein the coal consumption-sampling machine control strategy corresponding table comprises a plurality of test coal consumption characteristics, and each test coal consumption characteristic is correspondingly associated with a test sampling machine control strategy.
And secondly, updating the test coal consumption characteristics and the test sampler control strategy in the coal consumption-sampler control strategy corresponding table into a sampler control model.
In some embodiments of the present application, a method of causal analysis of coal consumption characteristics, sampler sampling information, and sampler control strategies for different time nodes includes:
first, a time reference axis is established.
And secondly, establishing a coal consumption curve aiming at the coal consumption characteristics, wherein the abscissa of the coal consumption curve is time and the ordinate is coal consumption, and establishing a sampling quantity change curve aiming at sampling information of a sampler, wherein the abscissa of the sampling quantity change curve is time and the ordinate is sampling quantity.
And thirdly, aligning a time reference axis, a fire coal consumption curve and a sampling amount variation curve, and marking control on the time reference axis based on a time node to which a control strategy is applied.
And fourthly, based on a preset time reference interval, carrying out section-by-section cutting on the fuel coal consumption curve, and defining a plurality of fuel coal consumption curve sections on the fuel coal consumption curve.
And fifthly, completing combustion consumption time and belt conveying time according to actual coal pile configuration corresponding to each coal consumption curve segment, and determining sampling time nodes corresponding to the coal consumption curve segments based on the sum of the coal consumption time and the belt conveying time.
And sixthly, associating the coal consumption curve segment with a sampling amount change curve and a control strategy marked on a time reference axis based on a sampling time node corresponding to the coal consumption curve segment.
By the technical scheme, analysis and understanding of data in the power plant operation log are facilitated, and causal relations among different factors are revealed, so that a control strategy of the sampler is optimized, and accuracy and efficiency of coal sampling are improved.
In some embodiments of the present application, a method of performing a first accuracy assessment of a sampling node includes:
the first step, classifying the information association groups with similar characteristics meeting preset requirements, and calculating average sampling nodes of sampling nodes in the information association groups under the same category.
And secondly, calculating the sampling node difference between the sampling nodes and the average sampling node when the first accuracy evaluation is carried out on the sampling nodes of the information association group, and determining the first accuracy evaluation of the information association group based on the sampling node difference.
Wherein the expression for calculating the first accuracy assessment of the information association group is:
wherein j is n-1 Evaluating a corresponding value, k, for a first accuracy of an nth information association group 1 Evaluating a conversion coefficient, t, for a first accuracy n Is the sampling node of the nth information association group.
In some embodiments of the present application, a method for classifying an information association group with similar characteristics meeting preset requirements includes:
the first step, analyzing the coal consumption characteristics in the information association group, recording the coal consumption of preset time nodes in the coal consumption characteristics, and generating a coal consumption matrix [ x ] i ]。
Second, comparing the corresponding fuel consumption matrix [ x ] in each two groups of information association groups i ]And if the difference value of the fuel coal consumption amounts with the corresponding order matrix factors is smaller than a preset value and the matrix factor pair with the difference value smaller than the preset value is larger than a preset logarithm, classifying the two information association groups in the same way.
In some embodiments of the present application, a method of performing a second accuracy assessment of a sample size includes: analyzing sampling information of the sampling machines in the information association group, determining the sampling amount of the sampling machine, and carrying out second accuracy evaluation on the sampling amount based on the acquisition difference between the sampling amount and the preset sampling amount.
In some embodiments of the present application, a method for screening out a first preferred information association set based on a first accuracy assessment and a second accuracy assessment includes:
a first preset accurate evaluation threshold value, a second preset accurate evaluation threshold value and a third preset accurate evaluation threshold value are set for the first accurate evaluation, if the first accurate evaluation is smaller than the first preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be unqualified, if the first accurate evaluation is larger than or equal to the first preset accurate evaluation threshold value and smaller than the second preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be qualified, and if the first accurate evaluation is larger than or equal to the third preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be excellent.
A fourth preset accurate evaluation threshold value, a fifth preset accurate evaluation threshold value and a sixth preset accurate evaluation threshold value are set for the second accuracy evaluation, if the second accuracy evaluation is smaller than the fourth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified, and if the second accuracy evaluation is larger than or equal to the fifth preset accurate evaluation threshold value and smaller than the sixth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified.
Based on the screening quantity requirement, a filtering condition of the first accuracy assessment and the second accuracy assessment is determined.
In some embodiments of the present application, the sampler control strategy includes: a driving duration and driving power of different time nodes.
In some embodiments of the present application, there is also disclosed a control system for a belt sampler, comprising: the system comprises a log analysis module, a data composition module, a first preferred information association group determination module and a control strategy generation module.
The log analysis module is used for acquiring the past operation log of the power plant, analyzing the past operation log of the power plant and determining the coal consumption characteristics, sampling information of the sampling machine and control strategy of the sampling machine of different time nodes.
The data set generation module is used for carrying out causal relation analysis on the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of different time nodes, and correlating the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of different time nodes according to the causal relation to generate an information correlation set.
The first preferred information association group determining module is used for analyzing sampling information of sampling machines in the information association group, determining sampling nodes and sampling quantity of sampling, performing first accuracy evaluation and second accuracy evaluation on the information association group based on the sampling nodes and the sampling quantity, and screening out the first preferred information association group based on the first accuracy evaluation and the second accuracy evaluation.
The control strategy generation module is used for constructing a sampling machine control model based on a plurality of first optimal information association groups and determining a sampling machine control strategy in the later sampling process of the sampling machine based on the sampling machine control model.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present invention.
The utility model discloses a control method and system for belt sampling machine, relate to belt sampling machine control technical field, including analyzing the past operation log of power plant, confirm the fire coal consumption characteristic of different time nodes, sampling machine sampling information and sampling machine control strategy, and carry out the correlation with the above-mentioned data of different time nodes, produce information correlation group, and carry out first precision evaluation and second precision evaluation to information correlation group based on sampling node and sampling amount, and based on first precision evaluation and second precision evaluation, screen first preferred information correlation group, and construct the sampling machine control model, and confirm the sampling machine control strategy in the sampling process of sampling machine later stage based on the sampling machine control model, the above-mentioned scheme of this application has realized that the effect of determining sampling machine control strategy according to fire coal consumption characteristic, compared with the sampling mode of original preset time node, the number of times of invalid sampling has been reduced, optimize the sampling logic to the coal.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (9)
1. A control method for a belt sampler, comprising:
acquiring a power plant past operation log, analyzing the power plant past operation log, and determining the coal consumption characteristics, sampling information of a sampling machine and a control strategy of the sampling machine of different time nodes;
carrying out causal relation analysis on the fire coal consumption characteristics, sampling information of the sampling machines and control strategies of the sampling machines of different time nodes, and associating the fire coal consumption characteristics, the sampling information of the sampling machines and the control strategies of the sampling machines of the different time nodes according to the causal relation to generate an information association group;
analyzing sampling information of sampling machines in the information association group, and determining sampling nodes and sampling quantity of sampling;
performing first accuracy evaluation and second accuracy evaluation on the information association group based on the sampling node and the sampling quantity, and screening out a first preferred information association group based on the first accuracy evaluation and the second accuracy evaluation;
and constructing a sampler control model based on a plurality of first preferred information association groups, and determining a sampler control strategy in the later sampling process of the sampler based on the sampler control model.
2. The control method for a belt sampler of claim 1 and further comprising:
according to the control test of the sampling machine, a coal consumption-sampling machine control strategy corresponding table is established, the coal consumption-sampling machine control strategy corresponding table comprises a plurality of test coal consumption characteristics, and each test coal consumption characteristic is correspondingly associated with a test sampling machine control strategy;
and updating the test coal consumption characteristics and the test sampler control strategy in the coal consumption-sampler control strategy corresponding table into a sampler control model.
3. The control method for a belt sampler of claim 1 wherein the method of causal analysis of the coal consumption characteristics, sampler sampling information and sampler control strategy at different time nodes comprises:
establishing a time reference axis;
establishing a fuel coal consumption curve aiming at the fuel coal consumption characteristics, wherein the abscissa of the fuel coal consumption curve is time and the ordinate is fuel coal consumption, and establishing a sampling quantity change curve aiming at sampling information of a sampler, wherein the abscissa of the sampling quantity change curve is time and the ordinate is sampling quantity;
aligning a time reference axis, a coal consumption curve and a sampling amount variation curve, and marking control on the time reference axis based on a time node to which a control strategy is applied;
based on a preset time reference interval, carrying out section-by-section cutting on a fuel coal consumption curve, and defining a plurality of fuel coal consumption curve sections on the fuel coal consumption curve;
the method comprises the steps of configuring combustion completion consumption time and belt conveying time for an actual coal pile corresponding to each coal consumption curve segment, and determining sampling time nodes corresponding to the coal consumption curve segments based on the sum of the coal consumption time and the belt conveying time;
and associating the coal consumption curve segment with a control strategy marked on a time reference axis based on the sampling time node corresponding to the coal consumption curve segment.
4. The control method for a belt sampler of claim 1 wherein the method of performing a first accuracy assessment of the sampling node comprises:
classifying the information association groups with similar characteristics meeting preset requirements, and calculating average sampling nodes of sampling nodes in the information association groups under the same category;
calculating the sampling node difference between the sampling nodes and the average sampling node when the first accuracy evaluation is carried out on the sampling nodes of the information association group, and determining the first accuracy evaluation of the information association group based on the sampling node difference;
wherein the expression for calculating the first accuracy assessment of the information association group is:
wherein j is n-1 Evaluating a corresponding value, k, for a first accuracy of an nth information association group 1 Evaluating a conversion coefficient, t, for a first accuracy n Is the sampling node of the nth information association group.
5. The method of claim 4, wherein the step of classifying the information association group having similar characteristics meeting a predetermined requirement comprises:
analyzing the coal consumption characteristics in the information association group, recording the coal consumption of preset time nodes in the coal consumption characteristics, and generating a coal consumption matrix [ x ] i ]；
The corresponding fuel consumption matrix [ x ] in each two groups of information association groups is compared i ]And if the difference value of the fuel coal consumption amounts with the corresponding order matrix factors is smaller than a preset value and the matrix factor pair with the difference value smaller than the preset value is larger than a preset logarithm, classifying the two information association groups in the same way.
6. The control method for a belt sampler according to claim 1, wherein the method of performing the second accuracy evaluation of the sampling amount comprises:
analyzing sampling information of the sampling machines in the information association group, determining the sampling amount of the sampling machine, and carrying out second accuracy evaluation on the sampling amount based on the acquisition difference between the sampling amount and the preset sampling amount.
7. The method of claim 1, wherein the method of screening the first preferred information association group based on the first accuracy assessment and the second accuracy assessment comprises:
a first preset accurate evaluation threshold value, a second preset accurate evaluation threshold value and a third preset accurate evaluation threshold value are set for the first accurate evaluation, if the first accurate evaluation is smaller than the first preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be unqualified, if the first accurate evaluation is larger than or equal to the first preset accurate evaluation threshold value and smaller than the second preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be qualified, and if the first accurate evaluation is larger than or equal to the third preset accurate evaluation threshold value, the accuracy of the acquisition nodes of the information association group is determined to be excellent;
a fourth preset accurate evaluation threshold value, a fifth preset accurate evaluation threshold value and a sixth preset accurate evaluation threshold value are set for the second accuracy evaluation, if the second accuracy evaluation is smaller than the fourth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified, and if the second accuracy evaluation is larger than or equal to the fifth preset accurate evaluation threshold value and smaller than the sixth preset accurate evaluation threshold value, the accuracy of the collection amount of the information association group is qualified;
based on the screening quantity requirement, a filtering condition of the first accuracy assessment and the second accuracy assessment is determined.
8. The control method for a belt sampler of claim 1 wherein the sampler control strategy comprises: a driving duration and driving power of different time nodes.
9. A control system for a belt sampler, comprising:
the log analysis module is used for acquiring the past operation log of the power plant, analyzing the past operation log of the power plant and determining the coal consumption characteristics, sampling information of the sampling machine and control strategies of the sampling machine of different time nodes;
the data set generation module is used for carrying out causal relation analysis on the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of the different time nodes, and correlating the fire coal consumption characteristics, the sampling machine sampling information and the sampling machine control strategy of the different time nodes according to the causal relation to generate an information correlation set;
the first preferred information association group determining module is used for analyzing sampling information of sampling machines in the information association group, determining sampling nodes and sampling quantity of sampling, performing first precision evaluation and second precision evaluation on the information association group based on the sampling nodes and the sampling quantity, and screening out the first preferred information association group based on the first precision evaluation and the second precision evaluation;
the control strategy generation module is used for constructing a sampling machine control model based on a plurality of first preferred information association groups and determining a sampling machine control strategy in the later sampling process of the sampling machine based on the sampling machine control model.
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| CN202311412747.3A CN117724409A (en) | 2023-10-27 | 2023-10-27 | Control method and system for belt sampler |
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| CN202311412747.3A CN117724409A (en) | 2023-10-27 | 2023-10-27 | Control method and system for belt sampler |
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2023
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