CN115271450A - Main coking coal cost performance evaluation method, device, equipment and storage medium - Google Patents
Main coking coal cost performance evaluation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for evaluating the cost performance of main coking coal. The method comprises the following steps: acquiring quality index data of the main coking coal to be detected in a historical time period; determining a comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data; determining reference coal and a quality cost ratio score corresponding to the reference coal; determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the comprehensive quality score, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal; and evaluating the cost performance of the main coking coal to be detected according to the reasonable cost difference. The embodiment of the invention improves the accuracy of evaluating the cost performance of the main coking coal.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a device, equipment and a storage medium for evaluating the cost performance of main coking coal.
Background
In the field of steel plant production technology, it is often necessary to purchase various coals for blast furnace iron making. In the process of coal dressing, the quality index of coal is generally required to be evaluated, so that the price of related purchasing personnel is conveniently evaluated, and the coal material is purchased in a high cost performance mode.
In the existing modes for evaluating the cost performance of the main coking coal, the quality indexes of the main coking coal are mostly simply evaluated and scored, so that the cost performance evaluation of the main coking coal is inaccurate.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for evaluating the cost performance of main coking coal, which are used for improving the accuracy of evaluating the cost performance of the main coking coal.
According to an aspect of the present invention, there is provided a method for evaluating cost performance of main coke coal, the method comprising:
acquiring quality index data of the main coking coal to be detected in a historical time period;
determining a comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data;
determining reference coal and a quality-cost ratio score corresponding to the reference coal;
determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the comprehensive quality score, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal;
and evaluating the cost performance of the main coking coal to be detected according to the reasonable cost difference.
According to another aspect of the present invention, there is provided a main coke cost performance evaluation apparatus, including:
the quality index data acquisition module is used for acquiring quality index data of the main coking coal to be detected in a historical time period;
the comprehensive quality score determining module is used for determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data;
the standard coal determining module is used for determining standard coal and the quality-cost ratio score corresponding to the standard coal;
the reasonable price difference determining module is used for determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the comprehensive quality score, the quality-property price ratio score corresponding to the reference coal and the price data of the reference coal;
and the cost performance evaluation module is used for evaluating the cost performance of the main coking coal to be detected according to the reasonable cost difference.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of assessing primary coke cost performance according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method for evaluating the cost performance of main coke according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the embodiment of the invention, the score of the comprehensive quality of the main coking coal to be detected is accurately determined by determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data. The reference coal is introduced in the process of determining the reasonable price difference of the main coking coal to be detected in the prediction time period, so that the determined reasonable price difference has guiding significance and is more reasonable, reasonable price difference can be embodied, the main coking coal with higher price ratio can be conveniently selected by related personnel based on the reasonable price difference, the accuracy of evaluating the price ratio of the main coking coal to be detected is improved, and convenience is provided for the related personnel.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in 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 creative efforts.
FIG. 1 is a flow chart of a method for evaluating cost performance of main coking coal according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for evaluating cost performance of main coking coal according to the second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a main coke cost performance evaluation device provided in accordance with the third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an electronic device implementing the method for evaluating cost performance of main coking coal according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for evaluating cost performance of main coking coals according to an embodiment of the present invention, where the method is applicable to a situation where cost performance of various main coking coals is evaluated, and the method may be executed by a main coking coal cost performance evaluation device, and the main coking coal cost performance evaluation device may be implemented in a form of hardware and/or software, and the main coking coal cost performance evaluation device may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, obtaining quality index data of the main coking coal to be measured in a historical time period.
The main coking coal to be tested can be the main coking coal to be subjected to quality test or cost performance evaluation. For example, the subject coking coal may be coking coal from different manufacturers. For example, the main coke to be measured may be the main coke provided by manufacturer a, the main coke provided by manufacturer B, the main coke provided by manufacturer C, and the like.
Wherein the historical time period is related to the evaluation time of the main coking coal to be tested. For example, the historical time period may be the previous month from the current evaluation time. For example, if the current month is 6 months and it is desired to perform cost performance evaluation on the main coking coal to be measured in the current month of 6 months or in the next month of 7 months, the historical time period may be 5 months.
The quality index data may be, among other things, relevant data for evaluating the instructions for the prime coke coal. The quality index data can include at least one of an ash index detection value, a sulfur index detection value, a volatile index detection value, a cohesiveness index detection value, a colloidal layer thickness detection value, and a thermal strength index detection value.
For example, quality index data such as an ash index detection value, a sulfur index detection value, a volatile component index detection value, a caking property index detection value, a colloidal layer thickness detection value, a thermal strength index detection value and the like of the main coking coal to be detected in a historical time period can be selected based on the evaluation demand of related personnel on the main coking coal to be detected.
And S120, determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data.
The comprehensive quality score is used for representing the comprehensive quality of the main coking coal to be detected and can be used for performing cost performance evaluation on the main coking coal to be detected subsequently.
For example, the quality scores corresponding to the ash index, the sulfur index, the volatile matter index, the caking property index, the colloidal layer thickness, and the thermal strength index may be determined according to the ash index detection value, the sulfur index detection value, the volatile matter index detection value, the caking property index detection value, the colloidal layer thickness detection value, and the thermal strength index detection value. And carrying out weighted summation on the quality scores respectively corresponding to the quality indexes to determine the comprehensive quality score of the main coking coal to be detected.
And S130, determining the reference coal and the quality cost ratio score corresponding to the reference coal.
The reference coal can be selected at will by relevant personnel according to actual requirements in various main coking coals. For example, the coal with the highest comprehensive quality score in all the main coke coal alternative resources can be used as the reference coal; or the coal with the highest quality-cost ratio score in all the main coking coal optional resources can be used as the reference coal; and the most representative coal can be obtained from a more authoritative official channel to be used as the reference coal.
The quality-to-cost ratio score determination method corresponding to the reference coal may be determined based on the quality index data and the price data of the reference coal.
In an alternative embodiment, determining the quality-to-cost score for the reference coal comprises: acquiring quality index data of reference coal in a historical time period and price data in a prediction time period; and determining the quality-property-price ratio score corresponding to the reference coal according to the quality index data and the price data corresponding to the reference coal.
The quality index data of the reference coal may include at least one of an ash index detection value, a sulfur index detection value, a volatile index detection value, a caking index detection value, a colloidal layer thickness detection value, and a thermal strength index detection value.
Where the historical time period corresponds to the predicted time period, for example, if the predicted time period is the current month or the next month, the historical time period may be the previous month. For example, if the predicted time period is 6 months or 7 months, the historical time period may be 5 months.
The price data may be, among other things, the pricing of the reference coal for the predicted time period, i.e., the purchase price, by the associated manufacturer of the reference coal.
After the quality index data of the reference coal and the price data are obtained, the quality-performance-price ratio score corresponding to the reference coal is determined according to the quality index data and the price data corresponding to the reference coal.
In an optional embodiment, determining the quality-to-performance-to-price score corresponding to the reference coal according to the quality index data and the price data corresponding to the reference coal includes: determining the comprehensive quality score of the reference coal according to the quality index data corresponding to the reference coal; and determining the quality-cost ratio score corresponding to the reference coal according to the comprehensive quality score and the price data of the reference coal.
The overall quality score of the reference coal may be determined by determining a quality score corresponding to each quality index, and using a weighted sum of the quality scores as the overall quality score of the reference coal.
Wherein, the quality cost performance score can be determined by adopting the following method:
the price data may be pricing, i.e., a purchase price, provided by a manufacturer that provides the reference coal. And if the quality cost ratio score of the reference coal is determined, correspondingly, the comprehensive quality score is the comprehensive quality score of the reference coal. It should be noted that the above formula of the quality cost performance score has universality, if the quality cost performance score of the main coking coal to be measured is determined, the comprehensive quality score is the comprehensive quality score of the main coking coal to be measured, and the price data is the purchase price of the main coking coal to be measured; and if the quality-to-cost ratio score of the reference coal is determined, the comprehensive quality score is the comprehensive quality score of the reference coal, and the price data is the purchase price of the reference coal.
According to the optional embodiment, the quality cost ratio score corresponding to the reference coal is determined in a mode of according to the comprehensive quality score and the price data of the reference coal, so that the accuracy of determining the quality cost ratio score is improved, and the accuracy of determining the reasonable cost difference of the main coking coal to be detected based on the quality cost ratio score of the reference coal in the follow-up process is improved.
And S140, determining the reasonable price difference of the main coking coal to be measured in the prediction time period according to the comprehensive quality score, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal.
The reasonable price difference of the main coking coal to be detected can be used for guiding relevant personnel to evaluate the cost performance of the main coking coal to be detected, and the follow-up guidance of purchasing the main coking coal to be detected is facilitated.
In an alternative embodiment, the network model for making a reasonable price difference determination may be pre-trained. And determining the reasonable price difference of the main coking coal to be measured in the prediction time period based on the trained network model according to the comprehensive quality score, the quality-performance-price ratio score corresponding to the reference coal and the price data of the reference coal. The training mode of the network model for determining the reasonable price difference may specifically be that the comprehensive quality score of the coking coal to be measured in the historical time period, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal are used as a sample training set, and input into the network model to be trained for training, so that the trained network model is used as the network model for determining the reasonable price difference.
In order to save a large amount of resources in the process of determining the reasonable price difference and improve the determination efficiency and the determination accuracy of the reasonable price difference, the reasonable price difference can be determined in the following mode.
In an optional embodiment, determining the reasonable price difference of the coking coal to be measured in the prediction time period according to the comprehensive quality score, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal includes: determining the target price of the main coking coal to be detected in the prediction time period according to the comprehensive quality score and the quality-to-cost ratio score corresponding to the reference coal; and determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the target price and the price data of the reference coal.
The target price can be determined in the following manner:
wherein P is the target price of the main coking coal to be detected, M is the comprehensive quality score of the main coking coal to be detected, and N is the quality-to-cost ratio score of the reference coal.
The reasonable price difference is determined in the following mode:
Q＝P-Z；
and Q is the reasonable price difference of the main coking coal to be measured in the prediction time period. P is the target price of the main coking coal to be detected; and Z is the price data of the reference coal in the prediction time period, namely the purchase price in the prediction time period.
And S150, evaluating the cost performance of the main coking coal to be detected according to the reasonable price difference.
Illustratively, evaluation can be performed in a pairwise comparison mode according to the reasonable price difference and/or the target price corresponding to the main coking coal to be detected. In particular, the main coking coal which can be purchased with the lowest reasonable price difference or/and the lowest target price is preferably used.
According to the embodiment of the invention, the score of the comprehensive quality of the main coking coal to be detected is accurately determined by determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data. The reference coal is introduced in the process of determining the reasonable price difference of the main coking coal to be detected in the prediction time period, so that the determined reasonable price difference has guiding significance and is more reasonable, reasonable price difference can be embodied, the main coking coal with higher price ratio can be conveniently selected by related personnel based on the reasonable price difference, the accuracy of evaluating the price ratio of the main coking coal to be detected is improved, and convenience is provided for the related personnel.
Example two
Fig. 2 is a flowchart of a method for evaluating the cost performance of main coking coal according to the second embodiment of the present invention, and this embodiment performs optimization and improvement on the basis of the above technical solutions.
Further, the quality index data includes at least one of an ash index detection value, a sulfur index detection value, a volatile index detection value, a cohesiveness index detection value, a colloidal layer thickness detection value, and a thermal strength index detection value.
Correspondingly, the step of determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data is refined into the step of determining the ash score corresponding to the ash index according to the ash index detection value and the preset ash weight; determining a sulfur score corresponding to the sulfur index according to the sulfur index detection value and a preset sulfur weight; determining a volatile component score corresponding to the volatile component index according to the volatile component index detection value and a preset volatile component weight; determining a cohesiveness score corresponding to the cohesiveness index according to the cohesiveness index detection value and a preset cohesiveness weight; determining a colloidal layer thickness score corresponding to the colloidal layer thickness according to the colloidal layer thickness detection value and a preset colloidal layer thickness weight; determining a heat intensity score corresponding to the heat intensity index according to the heat intensity index detection value and a preset heat intensity weight; and determining the comprehensive quality score corresponding to the main coking coal to be detected according to at least one of the ash score, the sulfur score, the volatile matter score, the caking property score, the gelatinous layer thickness score and the heat strength score. "to perfect the determination mode of the comprehensive quality score of the main coking coal to be measured.
As shown in fig. 2, the method includes the following specific steps:
s210, acquiring quality index data of the main coking coal to be detected in a historical time period.
Wherein the quality index data comprises at least one of an ash index detection value, a sulfur index detection value, a volatile index detection value, a cohesiveness index detection value, a colloidal layer thickness detection value, and a thermal strength index detection value.
And S220, determining an ash score corresponding to the ash index according to the ash index detection value and a preset ash weight.
The determination method of the ash score corresponding to the ash index may be as follows:
wherein, sumAdThe index represents the ash score, and a is a preset ash weight, which can be specifically set by a related technician according to actual requirements. For example a may be set to 17%. Ad represents ash index detection value.
And S230, determining the sulfur score corresponding to the sulfur index according to the sulfur index detection value and the preset sulfur weight.
The determination mode of the sulfur score corresponding to the sulfur index can be as follows:
wherein, sumStThe score of the sulfur content is expressed, and B is a preset weight of the sulfur content, which can be set by related technicians according to actual requirements. For example B may be set to 16%. St represents a sulfur index detection value.
And S240, determining the volatile component score corresponding to the volatile component index according to the detected value of the volatile component index and the preset volatile component weight.
The determination mode of the volatile component score corresponding to the volatile component index may be as follows:
wherein, sumVdafThe score of the volatile component is expressed, and C is a preset volatile component weight which can be specifically set by related technicians according to actual requirements. For example, C may be set to 14%. Vdaf denotes the volatile index detection value.
And S250, determining a cohesiveness score corresponding to the cohesiveness index according to the cohesiveness index detection value and a preset cohesiveness weight.
The determination of the adhesion (G-value) score corresponding to the adhesion index (G-value) may be as follows:
wherein, sumGAnd D is a preset cohesiveness weight which can be set by related technicians according to actual requirements. For example D may be set to 19%. G represents a tackiness index detection value.
And S260, determining a colloidal layer thickness score corresponding to the colloidal layer thickness according to the colloidal layer thickness detection value and a preset colloidal layer thickness weight.
The determining method of the colloidal layer thickness score corresponding to the colloidal layer thickness may be as follows:
wherein, sumYThe colloidal layer thickness score is expressed, and E is a preset colloidal layer thickness weight, which can be specifically set by related technicians according to actual requirements. For example, E may be set to 14%. Y represents a colloidal layer thickness detection value.
And S270, determining a heat intensity score corresponding to the heat intensity index according to the heat intensity index detection value and a preset heat intensity weight.
The determination method of the heat intensity score corresponding to the heat intensity index may be as follows:
wherein, sumCSRThe score of the heat intensity is expressed, and F is a preset heat intensity weight, which can be specifically set by related technicians according to actual requirements. For example, F may be set to 20%. CSR represents the detection value of the heat strength index.
Note that the sum of the weights of ash, sulfur, volatile, caking, colloidal layer thickness, and heat intensity is 100%.
And S280, determining the comprehensive quality score corresponding to the main coking coal to be detected according to at least one of the ash score, the sulfur score, the volatile matter score, the caking property score, the gelatinous layer thickness score and the heat strength score.
Optionally, determining a comprehensive quality score corresponding to the coking coal to be tested according to at least one of the ash score, the sulfur score, the volatile matter score, the caking property score, the colloidal layer thickness score and the thermal strength score, and including: and taking the sum of at least one of the ash content score, the sulfur content score, the volatile content score, the caking property score, the gelatinous layer thickness score and the heat strength score as the comprehensive quality score corresponding to the main coking coal to be measured.
For example, the sum of the ash score, the sulfur score, the volatile score, the caking score, the colloidal layer thickness score, and the thermal strength score may be used as the composite quality score corresponding to the coking coal to be tested.
And S290, determining the standard coal and the quality-cost ratio score corresponding to the standard coal.
S2100, determining the reasonable price difference of the main coking coal to be measured in the prediction time period according to the comprehensive quality score, the quality-to-performance ratio score corresponding to the reference coal and the price data of the reference coal.
And S2110, evaluating the cost performance of the main coking coal to be detected according to the reasonable price difference.
According to the embodiment of the invention, the ash score corresponding to the ash index is determined through the ash index detection value and the preset ash weight; determining a sulfur score corresponding to the sulfur index according to the sulfur index detection value and a preset sulfur weight; determining a volatile component score corresponding to the volatile component index according to the detected value of the volatile component index and a preset volatile component weight; determining a cohesiveness score corresponding to the cohesiveness index according to the cohesiveness index detection value and a preset cohesiveness weight; determining a colloidal layer thickness score corresponding to the colloidal layer thickness according to the colloidal layer thickness detection value and a preset colloidal layer thickness weight; determining a heat intensity score corresponding to the heat intensity index according to the heat intensity index detection value and a preset heat intensity weight; and determining the comprehensive quality score corresponding to the coking coal to be detected according to at least one of the ash content score, the sulfur content score, the volatile content score, the caking property score, the colloidal layer thickness score, the thermal strength score and the comprehensive quality score, so that the final cost performance evaluation of the coking coal to be detected is more accurate, the coking coal with higher cost performance is conveniently selected by related personnel based on reasonable cost difference, the accuracy of the cost performance evaluation of the coking coal to be detected is improved, and convenience is provided for the related personnel. Meanwhile, the proposal of the application can guide the negotiation of the purchase price of the main coking coal and can guide the selection of the main coking coal to be tested with higher selective price ratio when a plurality of resources can be selected.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for evaluating cost performance of main coking coal according to a third embodiment of the present invention. The device for evaluating the cost performance of the main coking coal provided by the embodiment of the invention can be suitable for evaluating the cost performance of various main coking coals, and can be realized in a hardware and/or software mode, as shown in fig. 3, the device specifically comprises: a quality index data acquisition module 301, a comprehensive quality score determination module 302, a reference coal determination module 303, a reasonable price difference determination module 304 and a price performance evaluation module 305. Wherein,
the quality index data acquisition module 301 is used for acquiring quality index data of the main coking coal to be detected in a historical time period;
a comprehensive quality score determining module 302, configured to determine, according to the quality index data, a comprehensive quality score corresponding to the main coking coal to be detected;
a reference coal determining module 303, configured to determine reference coal and a quality-to-cost ratio score corresponding to the reference coal;
a reasonable price difference determining module 304, configured to determine a reasonable price difference of the main coking coal to be detected in a prediction time period according to the comprehensive quality score, the quality-to-performance price ratio score corresponding to the reference coal, and the price data of the reference coal;
and the cost performance evaluation module 305 is used for evaluating the cost performance of the main coking coal to be detected according to the reasonable cost difference.
According to the embodiment of the invention, the score of the comprehensive quality of the main coking coal to be detected is accurately determined by determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data. The reference coal is introduced in the process of determining the reasonable price difference of the main coking coal to be detected in the prediction time period, so that the determined reasonable price difference has guiding significance and reasonability, reasonable price difference can be embodied, the main coking coal with higher price ratio can be conveniently selected by related personnel subsequently based on the reasonable price difference, the accuracy of evaluating the price ratio of the main coking coal to be detected is improved, and convenience is brought to the related personnel.
Optionally, the quality index data includes at least one of an ash index detection value, a sulfur index detection value, a volatile index detection value, a cohesiveness index detection value, a colloidal layer thickness detection value, and a thermal strength index detection value.
Optionally, the comprehensive quality score determining module 302 includes:
the ash score determining unit is used for determining an ash score corresponding to the ash index according to the ash index detection value and a preset ash weight;
the sulfur score determining unit is used for determining the sulfur score corresponding to the sulfur score index according to the sulfur score index detection value and a preset sulfur score weight;
the volatile component score determining unit is used for determining the volatile component score corresponding to the volatile component index according to the volatile component index detection value and a preset volatile component weight;
a cohesiveness score determining unit for determining a cohesiveness score corresponding to the cohesiveness index according to the cohesiveness index detection value and a preset cohesiveness weight;
the colloidal layer thickness score determining unit is used for determining a colloidal layer thickness score corresponding to the colloidal layer thickness according to the colloidal layer thickness detection value and a preset colloidal layer thickness weight;
the heat intensity score determining unit is used for determining a heat intensity score corresponding to the heat intensity index according to the heat intensity index detection value and a preset heat intensity weight;
and the comprehensive quality score determining unit is used for determining the comprehensive quality score corresponding to the main coking coal to be detected according to at least one of the ash score, the sulfur score, the volatile matter score, the caking property score, the colloid layer thickness score and the heat intensity score.
Optionally, the comprehensive quality score determining unit includes:
and the comprehensive quality score determining subunit is used for taking the sum of at least one of the ash score, the sulfur score, the volatile matter score, the cohesiveness score, the colloidal layer thickness score and the heat strength score as the comprehensive quality score corresponding to the main coking coal to be detected.
Optionally, the reference coal determining module 303 includes:
the data acquisition unit is used for acquiring quality index data of the reference coal in the historical time period and price data in the prediction time period;
and the quality cost performance determining unit is used for determining the quality cost performance score corresponding to the reference coal according to the quality index data corresponding to the reference coal and the price data.
Optionally, the quality/cost performance determining unit includes:
a reference coal comprehensive score determining subunit, configured to determine a comprehensive quality score of the reference coal according to the quality index data corresponding to the reference coal;
and the quality cost ratio determining subunit is used for determining the quality cost ratio score corresponding to the reference coal according to the comprehensive quality score and the price data of the reference coal.
Optionally, the reasonable price difference determining module 304 includes:
a target price determining unit, configured to determine a target price of the coking coal to be measured in the prediction time period according to the comprehensive quality score and the quality-to-cost ratio score corresponding to the reference coal;
and the reasonable price difference determining unit is used for determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the target price and the price data of the reference coal.
The main coking coal cost performance evaluation device provided by the embodiment of the invention can execute the main coking coal cost performance evaluation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
FIG. 4 illustrates a schematic diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from a storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data necessary for the operation of the electronic apparatus 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
A number of components in the electronic device 40 are connected to the I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
In some embodiments, the primary coke cost/performance assessment method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the method for assessing the cost/performance of coking coal described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the primary coke cost performance evaluation method by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for evaluating the cost performance of main coking coal is characterized by comprising the following steps:
acquiring quality index data of the main coking coal to be detected in a historical time period;
determining a comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data;
determining reference coal and a quality cost ratio score corresponding to the reference coal;
determining a reasonable price difference of the main coking coal to be detected in a prediction time period according to the comprehensive quality score, the quality-performance cost ratio score corresponding to the reference coal and the price data of the reference coal;
and evaluating the cost performance of the main coking coal to be detected according to the reasonable price difference.
2. The method of claim 1, wherein the quality indicator data comprises at least one of an ash indicator detection value, a sulfur indicator detection value, a volatiles indicator detection value, a stickiness indicator detection value, a colloidal layer thickness detection value, and a thermal strength indicator detection value.
3. The method of claim 2, wherein determining the composite quality score corresponding to the coking coal based on the quality indicator data comprises:
determining an ash score corresponding to the ash index according to the ash index detection value and a preset ash weight;
determining a sulfur score corresponding to the sulfur index according to the sulfur index detection value and a preset sulfur weight;
determining a volatile component score corresponding to the volatile component index according to the volatile component index detection value and a preset volatile component weight;
determining a cohesiveness score corresponding to the cohesiveness index according to the cohesiveness index detection value and a preset cohesiveness weight;
determining a colloidal layer thickness score corresponding to the colloidal layer thickness according to the colloidal layer thickness detection value and a preset colloidal layer thickness weight;
determining a heat intensity score corresponding to the heat intensity index according to the heat intensity index detection value and a preset heat intensity weight;
and determining a comprehensive quality score corresponding to the main coking coal to be detected according to at least one of the ash score, the sulfur score, the volatile component score, the cohesiveness score, the colloidal layer thickness score and the thermal strength score.
4. The method of claim 3, wherein determining a composite quality score for the prime coke coal to be tested based on at least one of the ash score, the sulfur score, the volatiles score, the cohesiveness score, the colloidal layer thickness score, and the heat intensity score comprises:
and taking the sum of at least one of the ash component score, the sulfur component score, the volatile component score, the cohesiveness score, the colloid layer thickness score and the heat intensity score as the comprehensive quality score corresponding to the main coking coal to be detected.
5. The method of any one of claims 1-4, wherein determining a quality cost score for the reference coal comprises:
acquiring quality index data of the reference coal in the historical time period and price data in the prediction time period;
and determining the quality-performance-price ratio score corresponding to the reference coal according to the quality index data and the price data corresponding to the reference coal.
6. The method of claim 5, wherein determining the quality-to-cost score for the reference coal based on the quality index data and the price data for the reference coal comprises:
determining the comprehensive quality score of the reference coal according to the quality index data corresponding to the reference coal;
and determining the quality-property-price ratio score corresponding to the reference coal according to the comprehensive quality score and price data of the reference coal.
7. The method according to any one of claims 1 to 4, wherein the determining the reasonable price difference of the coking coal to be measured in the prediction time period according to the comprehensive quality score, the quality-to-cost ratio score corresponding to the reference coal and the price data of the reference coal comprises:
determining the target price of the main coking coal to be detected in a prediction time period according to the comprehensive quality score and the quality-to-performance ratio score corresponding to the reference coal;
and determining the reasonable price difference of the main coking coal to be detected in a prediction time period according to the target price and the price data of the reference coal.
8. A main coke cost performance evaluation device is characterized by comprising:
the quality index data acquisition module is used for acquiring quality index data of the main coking coal to be detected in a historical time period;
the comprehensive quality score determining module is used for determining the comprehensive quality score corresponding to the main coking coal to be detected according to the quality index data;
the standard coal determining module is used for determining standard coal and the quality cost ratio score corresponding to the standard coal;
the reasonable price difference determining module is used for determining the reasonable price difference of the main coking coal to be detected in the prediction time period according to the comprehensive quality score, the quality-property price ratio score corresponding to the reference coal and the price data of the reference coal;
and the cost performance evaluation module is used for evaluating the cost performance of the main coking coal to be detected according to the reasonable cost difference.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of assessing primary coke cost performance of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the method of evaluating the cost performance of a main coke coal according to any one of claims 1 to 7 when executed.
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| CN116843097A (en) * | 2023-06-21 | 2023-10-03 | 华院计算技术(上海)股份有限公司 | Coal quality evaluation method and system |
| CN116843097B (en) * | 2023-06-21 | 2024-03-29 | 华院计算技术(上海)股份有限公司 | Coal quality evaluation method and system |
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