Sintering operation parameter analysis method and device

Abstract

The embodiments of this specification relate to the field of metallurgical technology, and disclose a sintering operation parameter analysis method and device, including: determining the initial sintering parameters based on the initial sintering data; obtaining the set value of the initial sintering parameters, and obtaining the current value of the initial sintering parameters, comparing the current value with the set value to determine the 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 operation parameter analysis results. 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 operation parameter analysis results can 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.

Description

Technical Field

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

[0002] Sintering is an important part of the ironmaking process. The sintering process has the characteristics of many influencing factors and rapid production changes. In actual sintering production, after the sintering ingredients are determined, the operator usually adjusts the set value of the operating parameter to achieve the change of the actual value of the operating parameter, thereby affecting the change of the sintering state parameter and realizing the overall adjustment of the sintering production. The existing sintering adjustment method is mainly based on the experience of on-site personnel, with high labor intensity and low adjustment accuracy. The limited experience relies on oral communication between new and old employees. The learning cycle of 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, and the summary of the sintering process data information is not high, and the adaptability to different production lines is not strong. Therefore, a better solution is urgently needed. Summary of the invention

[0003] In view of this, the 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 solve the technical defects existing 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:

[0005] Acquiring initial sintering data, and determining initial sintering parameters based on the initial sintering data;

[0006] 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;

[0007] Determine at least two types of operation parameter data by classification based on the numerical relationship;

[0008] Conduct regularity analysis based on the operating parameter data and determine the operating parameter analysis results.

[0009] In a possible implementation, obtaining initial sintering data includes:

[0010] 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, sintering ore inspection and testing data, sintering ore metallurgical performance data and sintering economic and technical index data;

[0011] The missing values ​​of the original data are filled to obtain the initial sintering data.

[0012] In a possible implementation, determining initial sintering parameters based on initial sintering data includes:

[0013] 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;

[0014] Add preset parameters to the original sintering parameters to determine the initial sintering parameters.

[0015] In a possible implementation, comparing the current value with the set value to determine the numerical relationship includes:

[0016] Determine an error range based on a set value and a range threshold;

[0017] When the current value does not exceed the error range, the numerical relationship is determined to be in normal mode;

[0018] In the case where the current value exceeds the error range, the numerical relationship is determined to be an abnormal mode.

[0019] In a possible implementation, classifying and determining at least two types of operation parameter data based on a numerical relationship includes:

[0020] In the case where the numerical relationship is in an abnormal mode, the initial sintering parameters are saved in the abnormal operation parameter database.

[0021] In a possible implementation, classifying and determining at least two types of operation parameter data based on a numerical relationship includes:

[0022] When the numerical relationship is in a normal mode, determining the change state of the set value;

[0023] When the change state is change, the initial sintering parameters are saved in the dynamic operation parameter database;

[0024] When the change state is no change, the initial sintering parameters are saved in the static operation parameter database.

[0025] In a possible implementation, performing regularity analysis based on the operating parameter data to determine the operating parameter analysis result includes:

[0026] Conduct statistical analysis on the operating parameter data to determine the operating parameter statistical knowledge base;

[0027] Conduct regularity analysis based on the operating parameter statistical knowledge base to determine the operating parameter analysis results.

[0028] According to a second aspect of an embodiment of this specification, a sintering operation parameter analysis device is provided, comprising:

[0029] A parameter determination module is configured to obtain initial sintering data and determine initial sintering parameters based on the initial sintering data;

[0030] A numerical comparison module is 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;

[0031] A data determination module is configured to classify and determine at least two types of operation parameter data based on a numerical relationship;

[0032] The data analysis module is configured to perform regularity analysis based on the operation parameter data and determine the operation parameter analysis results.

[0033] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0034] Memory and processor;

[0035] 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.

[0036] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned sintering operation parameter analysis method are implemented.

[0037] 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.

[0038] 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, determining initial sintering parameters based on the initial sintering data; obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results. Obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results can realize real-time processing and rapid analysis of sintering data with real-time dynamic parameters of the sintering process as the core, using big data technology, with fast processing speed and strong immediacy of analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of a sintering operation parameter analysis method provided by one embodiment of this specification;

[0040] Figure 2 is a schematic diagram of a sintering operation parameter analysis method provided in one embodiment of this specification;

[0041] Figure 3 It is a structural schematic diagram of a sintering operation parameter analysis device provided by one embodiment of this specification;

[0042] Figure 4 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0043] Many specific details are described in the following description to facilitate a full 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 connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0044] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" 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 other meanings. 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.

[0045] 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, this 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".

[0046] 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.

[0047] 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.

[0048] Step 101: Acquire initial sintering data, and determine initial sintering parameters based on the initial sintering data.

[0049] 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, sintering ore inspection and testing data, sintering ore metallurgical property data and sintering economic and technical indicator data; and filling missing values ​​in the original data to obtain initial sintering data.

[0050] In practical applications, see Figure 2 First, the sintering process data is collected and processed. The historical data of sintering process parameters such as raw material data for sintering in the material yard, 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 are collected, and the missing values ​​in the acquired data are filled by interpolation method.

[0051] The time for collecting data can be set to a period of time.

[0052] The embodiments of this specification take the real-time dynamic parameters of the sintering process as the core, and use big data technology to process and quickly analyze the sintering data in real time, with fast processing speed and strong immediacy of analysis results.

[0053] 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.

[0054] In practical applications, see Figure 2 , obtain the key quality parameters of the sintering process operation status. Through correlation analysis combined with metallurgical theory, dynamically obtain the key sintering state parameters that are highly correlated with the sintering ore inspection and testing parameters, sintering ore metallurgical performance parameters, and sintering economic and technical index parameters, such as coke powder feeding amount, coal powder feeding amount, quicklime feeding amount, mixture moisture, material thickness, end point position, end point temperature, etc. Obtain sintering operation parameters through production experience, such as coke powder feeding setting value, coal powder feeding setting value, quicklime feeding setting value, mixture water addition amount, nine-roller speed, machine speed, etc., and further supplement sintering operation parameters through metallurgical theory, such as air door opening, main extraction frequency conversion, ignition gas flow, etc.

[0055] 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.

[0056] 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.

[0057] 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 the numerical relationship to be a normal mode; when the current value exceeds the error range, determining the numerical relationship to be an abnormal mode.

[0058] The set value is the manually set parameter value, and the current value is the currently acquired parameter value.

[0059] 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 and maintenance is counted, and 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.

[0060] Step 103: Classify and determine at least two types of operation parameter data based on the numerical relationship.

[0061] 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 in an abnormal mode, saving the initial sintering parameters to an abnormal operation parameter database.

[0062] 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.

[0063] 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.

[0064] In one possible implementation, at least two types of operating parameter data are determined based on classification based on numerical relationships, including: when the numerical relationship is in normal mode, determining the change state of the set value; when the change state is 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.

[0065] In practical applications, see Figure 2 , when the numerical relationship between the current operating parameter setting value and the actual value is normal, and the operating parameter setting value has not changed, the current sintering process parameters are saved to the sintering static operating parameter database. When the numerical relationship between the current operating parameter setting value and the actual value is normal, and the operating parameter setting value has changed, the sintering process parameters at the current moment and within the next sintering cycle are saved to the sintering dynamic operating parameter database.

[0066] Step 104: Perform regularity analysis based on the operating parameter data to determine the operating parameter analysis results.

[0067] In a possible implementation, performing regularity analysis based on the operating parameter data to determine the operating parameter analysis results includes: 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.

[0068] 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 the operation parameter equipment abnormalities and analysis results.

[0069] 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 operation, dynamically push the association between operation parameters and state parameters, and provide data support during process review. The analysis results are highly interpretable, reducing the labor intensity of on-site staff.

[0070] Furthermore, a 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, to form a sintering process data statistical analysis knowledge base, to provide real-time feedback on the analysis results of the numerical laws of the operation-state parameters in the current library, and to call historical data analysis results as needed.

[0071] Furthermore, the change interval and change trend of the key state parameters after the sintering operation parameters change are obtained. After the operation parameters change, the state parameters are continuously monitored. When the slope of the state parameters changes in the same direction three times in a row, it is considered that the key state parameters begin to change with the operation parameters; when the slope of the state parameters stops changing in the same direction, it is considered that the key state parameters stop changing with the operation parameters. In this way, the change interval and change trend of the key state parameters corresponding to the change of the sintering operation parameters are obtained, and a knowledge base for dynamic analysis of sintering operations is established to feedback the most recent operation-state dynamic correlation analysis results, and historical data analysis results can also be called according to needs.

[0072] 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 operation efficiency of the model.

[0073] 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, determining initial sintering parameters based on the initial sintering data; obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results. Obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results can realize real-time processing and rapid analysis of sintering data with real-time dynamic parameters of the sintering process as the core, using big data technology, with fast processing speed and strong immediacy of analysis results.

[0074] In summary, the data source of this method is the data of the whole process of the sintering production line, including silo parameters, mixing parameters, sintering machine parameters, and ring cooling parameters. The data acquisition is comprehensive and the data information is complete. The key parameters of the sintering state that are highly correlated with the quality indicators of sintered minerals and sintering economic and technical indicators are dynamically acquired, and the data information is fully utilized, which is in line with the production characteristics of the enterprise. The sintering operation parameters are obtained through production experience and metallurgical theory, which conforms to the actual production conditions of sintering, and the parameters are considered comprehensively. The operation parameter mode is identified through data rules, and the identification rules are highly interpretable, which is convenient for on-site production personnel to understand. A statistical knowledge base of sintering abnormal operation parameters, a knowledge base of sintering process data statistical analysis, and a knowledge base of sintering operation dynamic analysis are formed, and the corresponding analysis results are fed back in real time, and the corresponding historical analysis results are saved. The sintering analysis is highly real-time and highly integrated with the on-site process, which is conducive to improving on-site operation efficiency and the learning and training of new employees, improving the stability of the sintering production line, and reducing the cost of sintering production and management. The formation of a sintering dynamic operation parameter database can be directly used for the construction of other subsequent intelligent models, reducing data information redundancy and improving model operation efficiency.

[0075] Corresponding to the above method embodiment, this specification also provides a sintering operation parameter analysis device embodiment, Figure 3 FIG. 1 is a schematic diagram showing the structure of a sintering operation parameter analysis device provided in one embodiment of the present specification. Figure 3 As shown, the device comprises:

[0076] The parameter determination module 301 is configured to obtain initial sintering data and determine initial sintering parameters based on the initial sintering data;

[0077] 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;

[0078] The data determination module 303 is configured to classify and determine at least two types of operation parameter data based on the numerical relationship;

[0079] The data analysis module 304 is configured to perform regularity analysis based on the operation parameter data and determine the operation parameter analysis results.

[0080] In a possible implementation, obtaining initial sintering data includes:

[0081] 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, sintering ore inspection and testing data, sintering ore metallurgical performance data and sintering economic and technical index data;

[0082] The missing values ​​of the original data are filled to obtain the initial sintering data.

[0083] In a possible implementation, determining initial sintering parameters based on initial sintering data includes:

[0084] 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;

[0085] Add preset parameters to the original sintering parameters to determine the initial sintering parameters.

[0086] In a possible implementation, comparing the current value with the set value to determine the numerical relationship includes:

[0087] Determine an error range based on a set value and a range threshold;

[0088] When the current value does not exceed the error range, the numerical relationship is determined to be in normal mode;

[0089] In the case where the current value exceeds the error range, the numerical relationship is determined to be an abnormal mode.

[0090] In a possible implementation, classifying and determining at least two types of operation parameter data based on a numerical relationship includes:

[0091] In the case where the numerical relationship is in an abnormal mode, the initial sintering parameters are saved in the abnormal operation parameter database.

[0092] In a possible implementation, classifying and determining at least two types of operation parameter data based on a numerical relationship includes:

[0093] When the numerical relationship is in a normal mode, determining the change state of the set value;

[0094] When the change state is change, the initial sintering parameters are saved in the dynamic operation parameter database;

[0095] When the change state is no change, the initial sintering parameters are saved in the static operation parameter database.

[0096] In a possible implementation, performing regularity analysis based on the operating parameter data to determine the operating parameter analysis result includes:

[0097] Conduct statistical analysis on the operating parameter data to determine the operating parameter statistical knowledge base;

[0098] Conduct regularity analysis based on the operating parameter statistical knowledge base to determine the operating parameter analysis results.

[0099] The embodiments of this specification provide a sintering operation parameter analysis method and device, wherein the sintering operation parameter analysis device comprises: obtaining initial sintering data, determining initial sintering parameters based on the initial sintering data; obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results. Obtaining the set value of the initial sintering parameter, and obtaining the current value of the initial sintering parameter, comparing the current value with the set value to determine the 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, and determining the operation parameter analysis results can realize real-time processing and rapid analysis of sintering data with real-time dynamic parameters of the sintering process as the core, using big data technology, with fast processing speed and strong immediacy of analysis results.

[0100] The above is a schematic scheme of a sintering operation parameter analysis device of this embodiment. It should be noted that the technical scheme of the sintering operation parameter analysis device and the technical scheme of the sintering operation parameter analysis method described above are of the same concept, and the details of the technical scheme of the sintering operation parameter analysis device that are not described in detail can be found in the description of the technical scheme of the sintering operation parameter analysis method described above.

[0101] Figure 4 The block diagram of a computing device 400 according to one embodiment of the present specification is shown. The 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 the database 450 is used to store data.

[0102] The computing device 400 also includes an access device 440 that enables the computing device 400 to communicate via one or more networks 460. Examples of these 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. The access device 440 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0103] 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. It should be understood that Figure 4 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0104] The computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 400 may also be a mobile or stationary server.

[0105] The processor 420 is used to execute the following computer executable instructions, which implement the steps of the above-mentioned sintering operation parameter analysis method when executed by the processor. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned sintering operation parameter analysis method belong to the same concept, and the details of the technical scheme of the computing device that are not described in detail can be found in the description of the technical scheme of the above-mentioned sintering operation parameter analysis method.

[0106] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned sintering operation parameter analysis method.

[0107] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the sintering operation parameter analysis method described above are of the same concept, and the details not described in detail in the technical scheme of the storage medium can be found in the description of the technical scheme of the sintering operation parameter analysis method described above.

[0108] 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.

[0109] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the sintering operation parameter analysis method described above are of the same concept, and the details not described in detail in the technical scheme of the computer program can be found in the description of the technical scheme of the sintering operation parameter analysis method described above.

[0110] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0111] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0112] It should be noted that, for the above-mentioned 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, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0113] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to 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 technicians in the relevant technical field can well understand and use this specification. This specification is only limited 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; Perform regularity analysis based on the operating parameter data to determine an operating parameter analysis result; 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, determining that the numerical relationship is an abnormal mode; The classifying and determining at least two types of operation parameter data based on the numerical relationship includes: When the numerical relationship is in an abnormal mode, the initial sintering parameters are saved in an abnormal operation parameter database; 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.

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 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.

5. A sintering operation parameter analysis device, used to implement the steps of the sintering operation parameter analysis method according to any one of claims 1 to 4, 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.

6. 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 4 are implemented.

7. 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 4.

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