Sintering operation parameter analysis method and device

Abstract

The embodiment of the invention relates to the technical field of metallurgy, and discloses a sintering operation parameter analysis method and device, and the method comprises the steps: determining initial sintering parameters based on initial sintering data; acquiring a set value of the initial sintering parameter, acquiring a current value of the initial sintering parameter, and comparing the current value with the set value to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; and performing rule analysis based on the operation parameter data, and determining an operation parameter analysis result. Classifying and determining at least two types of operation parameter data based on the numerical relationship; the rule analysis is carried out based on the operation parameter data, the operation parameter analysis result is determined, real-time processing and rapid analysis can be carried out on the sintering data by taking the real-time dynamic parameters in the sintering process as the core and adopting the big data technology, the processing speed is high, and the instantaneity of the analysis result is high.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of metallurgy technology, and in particular to a method for analyzing sintering operation parameters. Background Art

[0002] Sintering is an important step in the ironmaking process. The sintering process is characterized by many influencing factors and rapid production changes. In actual sintering production, after the sintering ingredients are determined, the operator usually adjusts the set values ​​of the operating parameters to achieve changes in the actual values ​​of the operating parameters, thereby affecting the changes in the sintering state parameters and achieving overall adjustments to the sintering production. The existing sintering adjustment method is mainly based on the experience of on-site personnel, which has high labor intensity and low adjustment accuracy. The limited experience relies on verbal communication between new and old employees. The learning cycle for new employees is long, the sintering operation is unstable, the analysis accuracy is low, and the hysteresis is strong, resulting in fluctuations in sintering production, increased energy consumption, and reduced output. Regarding the recognition and real-time analysis of operating parameter patterns, the existing method is to collect sintering process data and classify and analyze the sintering process with individual sintering parameters as the target. However, the existing sintering data pattern recognition and analysis method ignores the impact of the operating parameter pattern on the sintering process, lacks real-time in-depth analysis of data information combined with the process, the sintering process data information is not highly summarized, and is not adaptable to different production lines. Therefore, a better solution is urgently needed. Summary of the Invention

[0003] In view of this, embodiments of this specification provide a sintering operation parameter analysis method. One or more embodiments of this specification also relate to a sintering operation parameter analysis device, a computing device, a computer-readable storage medium, and a computer program to address technical deficiencies in the prior art.

[0004] According to a first aspect of an embodiment of this specification, a sintering operation parameter analysis method is provided, comprising: acquiring initial sintering data, and determining initial sintering parameters based on the initial sintering data; Obtaining the set value of the initial sintering parameter and the current value of the initial sintering parameter, and comparing the current value with the set value to determine the numerical relationship; Determine at least two types of operating parameter data by classification based on the numerical relationship; Conduct regularity analysis based on the operating parameter data and determine the operating parameter analysis results.

[0005] In a possible implementation, obtaining initial sintering data includes: Obtaining original data; wherein the original data includes raw material data, sintering silo data, sintering mixing data, sintering machine parameter data, ring cooling parameter data, sintered ore inspection and testing data, sintered ore metallurgical performance data and sintering economic and technical indicator data; The missing values ​​of the original data were filled to obtain the initial sintering data.

[0006] In a possible implementation, determining initial sintering parameters based on initial sintering data includes: Based on the initial sintering data, the original sintering parameters are determined through correlation analysis and metallurgical theory; wherein the initial sintering parameters include sintering state parameters and sintering operation parameters; Add preset parameters to the original sintering parameters to determine the initial sintering parameters.

[0007] In one possible implementation, comparing the current value with the set value to determine a numerical relationship includes: Determine an error range based on a set value and a range threshold; When the current value does not exceed the error range, the numerical relationship is determined to be in normal mode; In the case where the current value exceeds the error range, the numerical relationship is determined to be an abnormal mode.

[0008] In a possible implementation, classifying and determining at least two types of operating parameter data based on a numerical relationship includes: In the case that the numerical relationship is an abnormal pattern, the initial sintering parameters are saved in the abnormal operation parameter database.

[0009] In a possible implementation, classifying and determining at least two types of operating parameter data based on a numerical relationship includes: When the numerical relationship is in a normal mode, determining the change state of the set value; When the change state is change, the initial sintering parameters are saved in the dynamic operation parameter database; When the change state is no change, the initial sintering parameters are saved in the static operation parameter database.

[0010] In one possible implementation, performing regularity analysis based on the operating parameter data to determine an operating parameter analysis result includes: Conduct statistical analysis on the operating parameter data to determine the operating parameter statistical knowledge base; Conduct regularity analysis based on the operating parameter statistical knowledge base to determine the operating parameter analysis results.

[0011] According to a second aspect of the embodiments of this specification, a sintering operation parameter analysis device is provided, comprising: a parameter determination module configured to obtain initial sintering data and determine initial sintering parameters based on the initial sintering data; a numerical comparison module configured to obtain a set value of an initial sintering parameter and a current value of the initial sintering parameter, and compare the current value with the set value to determine a numerical relationship; a data determination module configured to classify and determine at least two types of operation parameter data based on a numerical relationship; The data analysis module is configured to perform regularity analysis based on the operation parameter data and determine the operation parameter analysis results.

[0012] According to a third aspect of an embodiment of this specification, a computing device is provided, including: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the sintering operation parameter analysis method are implemented.

[0013] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions. When the instructions are executed by a processor, the steps of the above-mentioned sintering operation parameter analysis method are implemented.

[0014] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned sintering operation parameter analysis method.

[0015] The embodiments of this specification provide a sintering operation parameter analysis method and device, wherein the sintering operation parameter analysis method includes: obtaining initial sintering data, and determining initial sintering parameters based on the initial sintering data; obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, and comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; and performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis. By obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, and comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; and performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis, it is possible to realize real-time processing and rapid analysis of sintering data using big data technology with real-time dynamic parameters of the sintering process as the core, with fast processing speed and strong immediacy of analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a sintering operation parameter analysis method provided in one embodiment of this specification; Figure 2 This is a schematic diagram of a sintering operation parameter analysis method provided in one embodiment of this specification; Figure 3 This is a schematic structural diagram of a sintering operation parameter analysis device provided in one embodiment of this specification; Figure 4 This is a structural block diagram of a computing device provided by one embodiment of this specification. DETAILED DESCRIPTION

[0017] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0018] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "an," and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0019] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0020] In this specification, a sintering operation parameter analysis method is provided. This specification also relates to a sintering operation parameter analysis device, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0021] See also Figure 1 , Figure 1 A flow chart of a sintering operation parameter analysis method provided according to an embodiment of the present specification is shown, which specifically includes the following steps.

[0022] Step 101: Acquire initial sintering data, and determine initial sintering parameters based on the initial sintering data.

[0023] In one possible implementation, obtaining initial sintering data includes: obtaining original data; wherein the original data includes raw material data, sintering silo data, sintering mixing data, sintering machine parameter data, ring cooling parameter data, sintered ore inspection and testing data, sintered ore metallurgical property data and sintering economic and technical indicator data; filling missing values ​​in the original data to obtain initial sintering data.

[0024] In practical applications, see Figure 2 First, we collect and process sintering process data. We collect historical data on sintering process parameters, including raw material data for sintering in the material yard, sintering silo data, sintering mixing data, sintering machine parameter data, ring cooling parameter data, sintered ore inspection and testing data, sintered ore metallurgical performance data, and sintering economic and technical indicator data. We use interpolation to fill in missing values ​​in the acquired data.

[0025] The time for collecting data can be set to a period of time.

[0026] The embodiments of this specification focus on the real-time dynamic parameters of the sintering process and use big data technology to process and quickly analyze the sintering data in real time, with fast processing speed and immediate analysis results.

[0027] In one possible implementation, initial sintering parameters are determined based on initial sintering data, including: determining original sintering parameters based on the initial sintering data through correlation analysis and metallurgical theory; wherein the initial sintering parameters include sintering state parameters and sintering operation parameters; and adding preset parameters to the original sintering parameters to determine the initial sintering parameters.

[0028] In practical applications, see Figure 2 , key quality parameters of the sintering process operation status are obtained. Through correlation analysis combined with metallurgical theory, key sintering status parameters with strong correlation with sinter ore inspection and testing parameters, sinter ore metallurgical performance parameters, and sintering economic and technical indicators are dynamically obtained, such as coke powder feeding amount, coal powder feeding amount, quicklime feeding amount, mixture moisture, distribution thickness, end point position, end point temperature, etc. Sintering operation parameters are obtained through production experience, such as coke powder feeding set value, coal powder feeding set value, quicklime feeding set value, mixture water addition amount, nine-roller speed, machine speed, etc., and sintering operation parameters such as air door opening, main exhaust frequency conversion, ignition gas flow, etc. are further supplemented by metallurgical theory.

[0029] The embodiments of this specification identify the data patterns of key operating parameters of the sintering process, efficiently extract sintering data information, and reduce data redundancy and data maintenance costs.

[0030] Step 102: Obtain the set value of the initial sintering parameter and the current value of the initial sintering parameter, and compare the current value with the set value to determine the numerical relationship.

[0031] In one possible implementation, the current value is compared with the set value to determine a numerical relationship, including: determining an error range based on the set value and a range threshold; when the current value does not exceed the error range, determining that the numerical relationship is a normal mode; when the current value exceeds the error range, determining that the numerical relationship is an abnormal mode.

[0032] The set value is the manually set parameter value, and the current value is the currently obtained parameter value.

[0033] In practical applications, see Figure 2 Based on historical data, the numerical relationship between the operating set value and the actual value is obtained. The numerical relationship between the sintering operating parameter set value and the actual value within a period of two hours after each sintering shutdown for maintenance is statistically analyzed. The numerical relationship interval is further adjusted based on production experience to obtain the numerical relationship between the operating parameter set value and the actual value under normal equipment conditions.

[0034] Step 103: Classify and determine at least two types of operation parameter data based on the numerical relationship.

[0035] In a possible implementation, at least two types of operation parameter data are determined by classification based on the numerical relationship, including: when the numerical relationship is an abnormal pattern, saving the initial sintering parameters to an abnormal operation parameter database.

[0036] In practical applications, pattern recognition is performed on the current sintering operating parameters based on the numerical relationship between the current operating parameter setting value and the actual value and whether the operating parameter setting value changes.

[0037] For details, see Figure 2 When the numerical relationship between the current operating parameter setting value and the actual value is abnormal, the sintering process data of a few minutes before and after the current moment is saved in the sintering abnormal operating parameter database.

[0038] In one possible implementation, at least two types of operating parameter data are determined based on classification of the numerical relationship, including: when the numerical relationship is in a normal mode, determining the change state of the set value; when the change state is a change, saving the initial sintering parameters to a dynamic operating parameter database; when the change state is no change, saving the initial sintering parameters to a static operating parameter database.

[0039] In practical applications, see Figure 2When the relationship between the current operating parameter setting value and the actual value is normal and the operating parameter setting value does not change, the current sintering process parameters are saved to the sintering static operating parameter database. When the relationship between the current operating parameter setting value and the actual value is normal and the operating parameter setting value changes, the sintering process parameters at the current moment and within the next sintering cycle are saved to the sintering dynamic operating parameter database.

[0040] Step 104: Perform regularity analysis based on the operating parameter data to determine an operating parameter analysis result.

[0041] In one possible implementation, regularity analysis is performed based on the operating parameter data to determine the operating parameter analysis results, including: performing statistical analysis on the operating parameter data to determine an operating parameter statistical knowledge base; performing regularity analysis based on the operating parameter statistical knowledge base to determine the operating parameter analysis results.

[0042] In practical applications, see Figure 2 , conduct data statistics on the sintering abnormal operation parameter database, retain the key sintering state parameters corresponding to the abnormal operation parameters, compare the variance changes of the state parameters before and after the abnormal operation parameters, judge whether the abnormal operation parameters have a greater impact on the state parameters, form a statistical knowledge base of sintering abnormal operation parameters, and provide real-time feedback on operation parameter equipment abnormalities and analysis results.

[0043] The embodiments of this specification form a statistical knowledge base of sintering abnormal operation parameters, a statistical analysis knowledge base of sintering process data, and a dynamic analysis knowledge base of sintering operations, dynamically push the correlation between operation parameters and status parameters, and provide data support during process review. The analysis results are highly interpretable, reducing the labor intensity of on-site staff.

[0044] Furthermore, statistical analysis is performed on the sintering static operation parameter database to obtain the numerical mean level of the sintering operation parameters and the corresponding mean level of the sintering state key parameter data, forming a sintering process data statistical analysis knowledge base, and real-time feedback of the analysis results of the numerical laws of the operation-state parameters in the current library, and the historical data analysis results can be called according to needs.

[0045] Furthermore, the change intervals and trends of key state parameters after changes in sintering operating parameters are obtained. After the operating parameters change, the state parameters are continuously monitored. When the slope of the state parameters shows the same direction three times in a row, it is considered that the key state parameters have begun to change with the operating parameters; when the slope of the state parameters stops showing the same direction, it is considered that the key state parameters have stopped changing with the operating parameters. In this way, the change intervals and trends of key state parameters corresponding to changes in sintering operating parameters are obtained, and a sintering operation dynamic analysis knowledge base is established. The latest operation-state dynamic correlation analysis results are fed back, and historical data analysis results can also be called according to needs.

[0046] It should be noted that the embodiments of this specification can directly use the sintering dynamic operation parameter database to construct other sintering parameter prediction and optimization models, which reduces the initial investment of the model and improves the operating efficiency of the model.

[0047] The embodiments of this specification provide a sintering operation parameter analysis method and device, wherein the sintering operation parameter analysis method includes: obtaining initial sintering data, and determining initial sintering parameters based on the initial sintering data; obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, and comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; and performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis. By obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, and comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; and performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis, it is possible to realize real-time processing and rapid analysis of sintering data using big data technology with real-time dynamic parameters of the sintering process as the core, with fast processing speed and strong immediacy of analysis results.

[0048] In summary, the data source for this method is comprehensive and complete, encompassing data from all sintering line processes, including silo parameters, mixing parameters, sintering machine parameters, and cooling parameters. Key sintering state parameters with strong correlations with sintered ore quality indicators and sintering economic and technical indicators are dynamically acquired, fully utilizing data and information in line with the company's production characteristics. Sintering operating parameters are derived through production experience and metallurgical theory, meeting actual sintering production conditions and comprehensively considering parameters. Operating parameter patterns are identified using data rules, which are highly interpretable and easy for on-site production personnel to understand. A statistical knowledge base for abnormal sintering operating parameters, a knowledge base for statistical analysis of sintering process data, and a knowledge base for dynamic analysis of sintering operations are established. The corresponding analysis results are fed back in real time, and historical analysis results are stored. This highly real-time sintering analysis is highly integrated with on-site processes, facilitating improved on-site operational efficiency and the training of new employees, enhancing the stability of the sintering line and reducing sintering production and management costs. This database of dynamic sintering operating parameters can be directly used in the subsequent construction of other intelligent models, reducing data redundancy and improving model efficiency.

[0049] Corresponding to the above method embodiment, this specification also provides an embodiment of a sintering operation parameter analysis device. Figure 3 FIG. 1 shows a schematic diagram of a sintering operation parameter analysis device provided in one embodiment of this specification. Figure 3 As shown, the device includes: The parameter determination module 301 is configured to obtain initial sintering data and determine initial sintering parameters based on the initial sintering data; The numerical comparison module 302 is configured to obtain the set value of the initial sintering parameter and the current value of the initial sintering parameter, and compare the current value with the set value to determine the numerical relationship; The data determination module 303 is configured to classify and determine at least two types of operation parameter data based on the numerical relationship; The data analysis module 304 is configured to perform regularity analysis based on the operation parameter data and determine an operation parameter analysis result.

[0050] In a possible implementation, obtaining initial sintering data includes: Obtaining original data; wherein the original data includes raw material data, sintering silo data, sintering mixing data, sintering machine parameter data, ring cooling parameter data, sintered ore inspection and testing data, sintered ore metallurgical performance data and sintering economic and technical indicator data; The missing values ​​of the original data were filled to obtain the initial sintering data.

[0051] In a possible implementation, determining initial sintering parameters based on initial sintering data includes: Based on the initial sintering data, the original sintering parameters are determined through correlation analysis and metallurgical theory; wherein the initial sintering parameters include sintering state parameters and sintering operation parameters; Add preset parameters to the original sintering parameters to determine the initial sintering parameters.

[0052] In one possible implementation, comparing the current value with the set value to determine a numerical relationship includes: Determine an error range based on a set value and a range threshold; When the current value does not exceed the error range, the numerical relationship is determined to be in normal mode; In the case where the current value exceeds the error range, the numerical relationship is determined to be an abnormal mode.

[0053] In a possible implementation, classifying and determining at least two types of operating parameter data based on a numerical relationship includes: In the case that the numerical relationship is an abnormal pattern, the initial sintering parameters are saved in the abnormal operation parameter database.

[0054] In a possible implementation, classifying and determining at least two types of operating parameter data based on a numerical relationship includes: When the numerical relationship is in a normal mode, determining the change state of the set value; When the change state is change, the initial sintering parameters are saved in the dynamic operation parameter database; When the change state is no change, the initial sintering parameters are saved in the static operation parameter database.

[0055] In one possible implementation, performing regularity analysis based on the operating parameter data to determine an operating parameter analysis result includes: Conduct statistical analysis on the operating parameter data to determine the operating parameter statistical knowledge base; Conduct regularity analysis based on the operating parameter statistical knowledge base to determine the operating parameter analysis results.

[0056] The embodiments of this specification provide a sintering operation parameter analysis method and device, wherein the sintering operation parameter analysis device includes: obtaining initial sintering data, determining initial sintering parameters based on the initial sintering data; obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis. By obtaining set values ​​of the initial sintering parameters, and obtaining current values ​​of the initial sintering parameters, comparing the current values ​​with the set values ​​to determine a numerical relationship; classifying and determining at least two types of operation parameter data based on the numerical relationship; performing regularity analysis based on the operation parameter data to determine the results of the operation parameter analysis, it is possible to realize real-time processing and rapid analysis of sintering data using big data technology with real-time dynamic parameters of the sintering process as the core, with fast processing speed and strong immediacy of analysis results.

[0057] The above is a schematic diagram of a sintering operation parameter analysis device according to this embodiment. It should be noted that the technical solution of this sintering operation parameter analysis device and the technical solution of the aforementioned sintering operation parameter analysis method are based on the same concept. For details not described in detail in the technical solution of the sintering operation parameter analysis device, please refer to the description of the technical solution of the aforementioned sintering operation parameter analysis method.

[0058] Figure 4 The block diagram of a computing device 400 according to one embodiment of the present disclosure is shown. Components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and a database 450 is used to store data.

[0059] Computing device 400 also includes an access device 440 that enables computing device 400 to communicate via one or more networks 460. Examples of such networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. Access device 440 may include one or more of any type of network interface (e.g., a network interface controller (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0060] In one embodiment of the present specification, the above components of the computing device 400 and Figure 4 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 4 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0061] Computing device 400 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 400 can also be a mobile or stationary server.

[0062] The processor 420 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the aforementioned sintering operation parameter analysis method. The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the aforementioned sintering operation parameter analysis method are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned sintering operation parameter analysis method.

[0063] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are executed by a processor, the steps of the above-mentioned sintering operation parameter analysis method are implemented.

[0064] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned sintering operation parameter analysis method. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned sintering operation parameter analysis method.

[0065] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned sintering operation parameter analysis method.

[0066] The above is a schematic diagram of a computer program according to this embodiment. It should be noted that the technical solution of this computer program is based on the same concept as the technical solution of the aforementioned sintering operation parameter analysis method. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the aforementioned sintering operation parameter analysis method.

[0067] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium may be appropriately increased or decreased based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0069] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0070] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0071] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A sintering operation parameter analysis method, characterized in that: include: Acquiring initial sintering data, and determining initial sintering parameters based on the initial sintering data; Obtaining a set value of the initial sintering parameter, and obtaining a current value of the initial sintering parameter, and comparing the current value with the set value to determine a numerical relationship; Determine at least two types of operation parameter data by classification based on the numerical relationship; A regularity analysis is performed based on the operating parameter data to determine an operating parameter analysis result.

2. The method according to claim 1, characterized in that The obtaining of initial sintering data comprises: Acquire original data; wherein the original data includes raw material data, sintering silo data, sintering mixing data, sintering machine parameter data, ring cooling parameter data, sintering ore inspection and testing data, sintering ore metallurgical performance data and sintering economic and technical index data; The missing values ​​of the original data are filled to obtain initial sintering data.

3. The method according to claim 1, characterized in that The determining of initial sintering parameters based on the initial sintering data comprises: Based on the initial sintering data, determining the original sintering parameters through correlation analysis and metallurgical theory; wherein the initial sintering parameters include sintering state parameters and sintering operation parameters; Preset parameters are added to the original sintering parameters to determine initial sintering parameters.

4. The method according to claim 1, characterized in that: The comparing the current value with the set value to determine the numerical relationship includes: determining an error range based on the set value and the range threshold; When the current value does not exceed the error range, determining that the numerical relationship is in a normal mode; In the case where the current value exceeds the error range, the numerical relationship is determined to be an abnormal mode.

5. The method according to claim 4, characterized in that The classifying and determining at least two types of operation parameter data based on the numerical relationship includes: In the case where the numerical relationship is in an abnormal mode, the initial sintering parameters are saved in an abnormal operation parameter database.

6. The method according to claim 4, characterized in that The classifying and determining at least two types of operation parameter data based on the numerical relationship includes: In the case where the numerical relationship is in a normal mode, determining a change state of the set value; When the change state is change, the initial sintering parameters are saved in a dynamic operation parameter database; When the change state is no change, the initial sintering parameters are saved in a static operation parameter database.

7. The method according to claim 1, characterized in that The performing regularity analysis based on the operating parameter data to determine the operating parameter analysis result includes: Performing statistical analysis on the operating parameter data to determine an operating parameter statistical knowledge base; Regularity analysis is performed based on the operating parameter statistical knowledge base to determine operating parameter analysis results.

8. A sintering operation parameter analysis device, characterized in that: include: a parameter determination module, configured to obtain initial sintering data and determine initial sintering parameters based on the initial sintering data; A numerical comparison module is configured to obtain a set value of the initial sintering parameter and a current value of the initial sintering parameter, and compare the current value with the set value to determine a numerical relationship; a data determination module, configured to classify and determine at least two types of operation parameter data based on the numerical relationship; The data analysis module is configured to perform regularity analysis based on the operation parameter data and determine an operation parameter analysis result.

9. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the sintering operation parameter analysis method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the steps of the sintering operation parameter analysis method according to any one of claims 1 to 7.

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