CN114580269A - Coal production, storage, consumption and sale management method in coal-electricity combined operation mode - Google Patents
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Abstract
The invention discloses a coal production, storage, consumption and sale management method in a coal-electricity combined operation mode, which comprises the following steps: monitoring real-time data information related to coal; constructing a coal production storage, consumption and sales management model based on the real-time data information, and obtaining a raw coal consumption curve in a period by using the coal production storage, consumption and sales management model; establishing a derivative data model, and establishing an optimization objective function by taking the highest supply and demand balance rate in a period as an optimization objective according to the coal consumption curve; and solving an optimization objective function to balance the coal supply and demand. The method can replace manual operation to complete coal production data statistics, overcomes the defects of low timeliness, large error and low availability of manual statistics, and enables data to really guide production.
Description
Technical Field
The invention relates to the technical field of coal production and big data analysis, in particular to a coal production, consumption and sales management method in a coal-electricity combined operation mode.
Background
The whole coal flow of the coal-electricity combined enterprise relates to various aspects such as storage and consumption of coal production, general coal production, consumption and sale data are respectively counted, visual comparison is not formed, and the production guiding significance is not great.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: general coal production, consumption and sale data are respectively counted, visual comparison is not formed, and the production guidance significance is not great.
In order to solve the technical problems, the invention provides the following technical scheme: monitoring real-time data information related to coal; constructing a coal production storage, consumption and sales management model based on the real-time data information, and obtaining a raw coal consumption curve in a period by using the coal production storage, consumption and sales management model; establishing a derivative data model, and establishing an optimization objective function by taking the highest supply and demand balance rate in a period as an optimization objective according to the coal consumption curve; and solving an optimization objective function to balance the coal supply and demand.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: the real-time data information related to the coal comprises the amount of the coal in the furnace, the total sales amount, the yield of the raw coal and the stock of the coal.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: preprocessing the coal-related real-time data information includes: processing missing values: deleting features containing missing values or completing missing values; performing feature construction, data grading and data quantization on the real-time data information; performing data statistics on the transformed real-time data information, and merging the real-time data information into a unified operation data storage; and detecting and eliminating samples which are possibly abnormal in the real-time data information samples by adopting a discriminator.
As a preferable scheme of the method for managing the storage, consumption and sale of coal production in the coal-electricity combined operation mode, the method comprises the following steps: the coal production, storage, consumption and sales management model comprises the steps of calling relevant data information and real-time data information in a historical database, preprocessing the called data, and dividing the preprocessed data into a test set and a training set, wherein the ratio of the test set to the training set is 3: 7; constructing the coal production, storage, consumption and sales management model by utilizing the preprocessed data; and training the coal production storage consumption and sales management model by using a training set, testing the trained coal production storage consumption and sales management model by using a testing set, and outputting the trained coal production storage consumption and sales management model when a testing result is higher than a preset standard.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: the coal production, storage, consumption and sales management model also comprises,
wherein, y(1)(t) represents the curve output value, y(1)(0) Denotes an initial value, b denotes a coal consumption amount, a denotes a period value, t denotes a time value, and e denotes a base number of a natural logarithm.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: the length of the cycle is two days.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: the derived data model includes: modifying a minimization objective function, and taking the highest supply-demand balance rate in a period as a target:
wherein | θ |2Representing the complexity of the model, oiRepresenting the amount of the coal furnace, C being a fitting parameter, xiRepresenting the yield of raw coal, yiThe amount of the stored coal is shown,
represents the ratio of coal production to coal inventory,
indicating the scaling factor.
As a preferred scheme of the coal production, consumption and sale management method in the coal-electricity combined operation mode, the method comprises the following steps: and solving the optimization objective function by using a multi-gradient descent algorithm.
The invention has the beneficial effects that: the coal production data statistics is completed by replacing manual work, the defects of low timeliness, large error and low availability of manual statistics are overcome, and the data can really guide production.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a basic flow chart of a coal production, consumption and sale management method in a coal-electricity combined operation mode according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, the references herein to "one embodiment" or "an embodiment" refer to a particular feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected" and "connected" in the present invention are to be construed broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, for an embodiment of the present invention, there is provided a method for managing coal production, consumption and sales in a coal-electricity federation mode, including:
s1: monitoring real-time data information related to coal.
It should be noted that the real-time data information related to coal includes a coal amount, a total sales amount, a raw coal yield, and a coal inventory.
The specific data acquisition means is as follows:
(1) and measuring the coal amount in the furnace in real time through a belt scale.
(2) And measuring the sales total amount in real time through a belt scale.
(3) And obtaining the yields of the first crusher, the second crusher, the third crusher and the semi-continuous system from a truck dispatching system, and calculating to obtain real-time raw coal yield data.
(4) And acquiring real-time data of the coal storage through a digital coal inventory system.
(5) And acquiring data of an external loading station through the loading station system.
Further, preprocessing the real-time data information related to the coal comprises:
processing missing values: deleting features containing missing values or completing missing values;
performing feature construction, data grading and data quantization on the real-time data information;
performing data statistics on the transformed real-time data information, and merging the real-time data information into a unified operation data storage;
and detecting and eliminating samples which are possibly abnormal in the real-time data information samples by adopting a discriminator.
S2: and constructing a coal production storage, consumption and sales management model based on the real-time data information, and obtaining a raw coal consumption curve in a period by using the coal production storage, consumption and sales management model.
It should be noted that the coal production, storage, consumption and sales management model includes:
calling related data information and real-time data information in a historical database, preprocessing the called data, and dividing the data into a test set and a training set in a ratio of 3: 7;
constructing a coal production, storage, consumption and sales management model by utilizing the preprocessed data;
and training the coal production storage, consumption and sales management model by using the training set, testing the trained coal production storage, consumption and sales management model by using the testing set, and outputting the trained coal production storage, consumption and sales management model when the testing result is higher than a preset standard.
Further, the coal production, storage, consumption and sales management model further comprises:
wherein, y(1)(t) represents the curve output value, y(1)(0) Denotes an initial value, b denotes a coal consumption amount, a denotes a period value, t denotes a time value, and e denotes a base number of a natural logarithm.
Wherein the length of the period is two days.
S3: and establishing a derivative data model, and establishing an optimization objective function by taking the highest supply and demand balance rate in the period as an optimization objective according to the coal consumption curve.
It should be noted that the derived data model includes:
modifying a minimization objective function, and taking the highest supply-demand balance rate in a period as a target:
wherein | θ |2Representing the complexity of the model, oiRepresenting the amount of the coal furnace, C being a fitting parameter, xiRepresenting the yield of raw coal, yiThe amount of the stored coal is shown,
represents the ratio of coal production to coal inventory,
indicating the scaling factor.
S4: and solving an optimization objective function to balance the coal supply and demand.
It should be noted that, the optimized objective function is solved by using the multi-gradient descent algorithm, when
When the preset value is reached, the supply and demand balance is achieved.
In a further aspect of the present invention,
(1) analyzing the total value of the amount of coal entering the furnace today according to the real-time large data of the amount of coal entering the furnace, performing predictive analysis on the total value of the amount of coal entering the furnace today, the planned raw coal yield and the planned total sales, and performing reverse pushing alarm prompting when the yield, supply and sales are unbalanced to prompt the production scheduling of the strip mine and the production scheduling of the power plant to perform reasonable production planning.
(2) And analyzing and calculating according to the planned loading station data and the obtained real-time sales volume, analyzing and calculating whether the loading task can be completed according to big data, and if a problem occurs, reversely pushing an alarm prompt to prompt a fast-assembling person to carry out loading scheduling.
(3) And analyzing and calculating the data of the planned raw coal yield, the sales stock, the total amount of coal as fired and the like at present, reasonably calculating the coal stock at present, analyzing and comparing the data with the concrete data of a coal plant, and pushing an alarm to prompt the production scheduling of the strip mine to carry out reasonable planning production.
(4) By establishing a derivative data model, analyzing the real-time minimum and maximum limit values of the coal production supply and sales volume, giving an alarm prompt when the real-time data has deviation, and analyzing the alarm reason, such as that the data is low to zero and is a communication fault, and asking network personnel to check data communication and the like.
The invention can visually see the quantity increase and decrease changes of the data such as the amount of coal entering the furnace, the total sales amount, the yield of raw coal, the storage amount of coal and the like in different time, can calculate the supply and demand relationship of the coal at the time through big data analysis and comparison, and can carry out corresponding prompt alarm, thereby realizing reasonable scheduling production and improving the production efficiency.
Example 2
The embodiment is another embodiment of the present invention, which is different from the first embodiment, and provides a verification test of a coal production, storage, consumption and sales management method in a coal-electricity combined operation mode.
The traditional technical scheme is as follows: general coal production, consumption and sales data are respectively counted, visual comparison is not formed, production guidance significance is not large, compared with the traditional method, the method has the advantages that coal production data statistics can be completed by replacing manpower, the defects of low timeliness, large error and low availability of manual statistics are overcome, and the data can really guide production. In this embodiment, the timeliness and accuracy of the simulation coal production, consumption and sale system are respectively measured and compared in real time by adopting a traditional manual statistical method and the method.
And (3) testing environment: the operation of a coal production, consumption and sale system is simulated on a simulation platform, the manual operation method and the manual operation method of the traditional method are respectively utilized, the automatic test equipment is started, MATLB software programming is utilized to realize simulation tests of the two methods, simulation data are obtained according to experimental results, and the results are shown in the following table.
Table 1: the experimental results are shown in a comparison table.
| Comparative experiment sample | Conventional methods | The method of the invention |
| Timeliness (time delay) | ＞10min | ＜10s |
| Error of the measurement | 20.4％ | 1.2％ |
| Availability | Is low in | Height of |
As can be seen from the above table, the method of the present invention has strong robustness.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (8)
1. A coal production, consumption and sale management method in a coal-electricity combined operation mode is characterized by comprising the following steps:
monitoring real-time data information related to coal;
constructing a coal production storage, consumption and sales management model based on the real-time data information, and obtaining a raw coal consumption curve in a period by using the coal production storage, consumption and sales management model;
establishing a derivative data model, and establishing an optimization objective function by taking the highest supply and demand balance rate in a period as an optimization objective according to the coal consumption curve;
and solving an optimization objective function to balance the coal supply and demand.
2. The method for managing coal production, consumption and sales in a coal-electricity federation mode as recited in claim 1, wherein the real-time data information related to coal comprises furnace coal quantity, total sales, raw coal yield, and coal inventory.
3. The method for managing coal production, consumption and sales in a coal-electricity federation mode as recited in claim 2, wherein preprocessing the real-time data information related to coal comprises:
processing missing values: deleting features containing missing values or completing missing values;
performing feature construction, data grading and data quantization on the real-time data information;
performing data statistics on the transformed real-time data information, and merging the real-time data information into a unified operation data storage;
and detecting and eliminating samples which are possibly abnormal in the real-time data information samples by adopting a discriminator.
4. The method for managing the coal production, storage, consumption and sales in the coal-electricity combined operation mode according to any one of claims 1 to 3, wherein the coal production, storage, consumption and sales management model comprises,
calling related data information and real-time data information in a historical database, preprocessing the called data, and dividing the data into a test set and a training set in a ratio of 3: 7;
constructing the coal production, storage, consumption and sales management model by utilizing the preprocessed data;
and training the coal production storage consumption and sales management model by using a training set, testing the trained coal production storage consumption and sales management model by using a testing set, and outputting the trained coal production storage consumption and sales management model when a testing result is higher than a preset standard.
5. The coal production, storage and consumption and sales management method in the coal-electricity federation mode of claim 4, wherein the coal production, storage and consumption and sales management model further comprises,
wherein, y(1)(t) represents the curve output value, y(1)(0) Denotes an initial value, b denotes a coal consumption amount, a denotes a period value, t denotes a time value, and e denotes a base number of a natural logarithm.
6. The method for managing coal production, consumption and sales in the coal-electricity combined operation mode according to claim 1, wherein the period is two days in length.
7. The method for managing coal production, storage and consumption, and sales in a coal-electricity federation mode of claim 1, wherein the derived data model comprises:
modifying a minimization objective function, and taking the highest supply-demand balance rate in a period as a target:
wherein | θ | calness2Representing the complexity of the model, oiRepresenting the amount of the coal furnace, C being a fitting parameter, xiRepresenting the yield of raw coal, yiThe amount of the stored coal is shown,
represents the ratio of coal production to coal inventory,
indicating the scaling factor.
8. The method for managing the coal production, the consumption and the sales in the coal-electricity combined operation mode according to claim 1 or 7, wherein the optimization objective function is solved by using a multi-gradient descent algorithm.
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