Coke coking experiment environment stability evaluation system based on data analysis

Abstract

The invention belongs to the field of experimental environment evaluation, relates to a data analysis technology, and particularly relates to a coke coking experimental environment stability evaluation system based on data analysis, which is used for solving the problem that temperature fluctuation cannot be reduced through environment monitoring and stability evaluation in the prior art. Comprising a real-time monitoring module, a data analysis module and a stability evaluation module, the real-time monitoring module is used for monitoring and analyzing the environment of the coke coking laboratory in real time, the coke coking laboratory is marked as a monitoring object, a plurality of monitoring points are arranged in the monitoring object, temperature sensors are arranged at the monitoring points, and the stability evaluation module is used for evaluating the stability of the coke coking laboratory; sending the temperature values of all monitoring points in the monitored object to a data analysis module; the environment of the coke coking laboratory can be monitored and analyzed in real time, the coverage degree of environment monitoring parameters in the laboratory is guaranteed through the multiple distributed monitoring points, then the data validity in the data analysis process is guaranteed, and the accuracy of the environment data analysis result is improved.

Description

Technical Field

[0001] The invention belongs to the field of experimental environment assessment, relates to data analysis technology, and specifically is a coke coking experimental environment stability assessment system based on data analysis. Background Art

[0002] Coke is a key raw material for smelting steel. In addition to providing thermal energy, coke also plays a role in supporting the skeleton and acting as a reducing agent in the smelting process. From the perspective of current ironmaking processes and technologies, the status of coke as a key raw material for blast furnace ironmaking will not change for a long time in the future.

[0003] When coke is calcined under high temperature conditions, its internal structure will change and the pore structure will adjust, resulting in changes in the coke strength. When the temperature rises to a certain level, the volatile matter and tar components in the coke will rapidly decompose, causing the internal pores of the coke to increase, the contact area between particles to decrease, and the coke strength to decrease. Therefore, the experimental temperature will have a great impact on the quality of the coke. How to reduce temperature fluctuations through environmental monitoring and stability assessment to improve the quality of coke is a technical problem that urgently needs to be solved in this field. Summary of the invention

[0004] The purpose of the present invention is to provide a coke coking experiment environmental stability assessment system based on data analysis, which is used to solve the problem that the prior art cannot reduce temperature fluctuations through environmental monitoring and stability assessment;

[0005] The technical problem to be solved by the present invention is: how to provide a coke coking experiment environmental stability assessment system based on data analysis that can reduce temperature fluctuations through environmental monitoring and stability assessment.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A coke coking experiment environment stability assessment system based on data analysis, comprising a real-time monitoring module, a data analysis module and a stability assessment module, wherein the real-time monitoring module, the data analysis module and the stability assessment module are sequentially connected in communication;

[0008] The real-time monitoring module is used to perform real-time monitoring and analysis on the environment of the coke coking laboratory: the coke coking laboratory is marked as a monitoring object, a number of monitoring points are set in the monitoring object, temperature sensors are set at the monitoring points, the temperature values ​​of the monitoring points are obtained in real time through the temperature sensors, and the temperature values ​​of all monitoring points in the monitoring object are sent to the data analysis module;

[0009] The data analysis module is used to process and analyze the environmental data of the coke coking laboratory: generate a processing cycle and divide the processing cycle into several processing time periods, obtain the environmental fluctuation parameters of the monitored object at the end of the processing time period, and the environmental fluctuation parameters include duration data SC, peak data BF and mean difference data JC, and send the environmental fluctuation parameters of the monitored object to the stability evaluation module;

[0010] The stability assessment module is used to assess and analyze the environmental stability of the coke coking laboratory based on environmental fluctuation parameters: the stability coefficient WD of the monitored object during the processing period is obtained by numerically calculating the environmental fluctuation parameters of the monitored object, and whether the environmental stability of the monitored object during the processing period meets the requirements is determined by the stability coefficient WD.

[0011] Furthermore, the process of acquiring the duration data SC includes: retrieving the standard temperature range for the coke coking experiment of the monitored object, marking the total duration that the temperature value of the monitoring point during the processing period exceeds the standard temperature range as the duration mark value of the monitoring point, and summing the duration mark values ​​of all monitoring points to obtain the duration data SC.

[0012] Furthermore, the process of acquiring the peak data BF includes: marking the average value of the maximum value and the minimum value of the standard temperature range as the temperature standard value, marking the absolute value of the difference between the temperature value of the monitoring point and the temperature standard value as the temperature wave value of the monitoring point, marking the maximum value of the temperature wave value of the monitoring point within the processing period as the peak value of the monitoring point, and summing the peak values ​​of all monitoring points to obtain the peak data BF.

[0013] Furthermore, the process of acquiring the mean difference data JC includes: marking the average value of the temperature value of the monitoring point within the processing period as the mean temperature value of the monitoring point, and performing variance calculation on the mean temperature values ​​of all monitoring points to obtain the mean difference data JC.

[0014] Furthermore, the specific process of determining whether the environmental stability of the monitored object during the processing period meets the requirements includes: comparing the stability coefficient WD of the monitored object during the processing period with the preset stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period meets the requirements, and an environmental stability signal is generated and sent to the mobile phone terminal of the manager; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period does not meet the requirements, and an environmental fluctuation signal is generated and sent to the mobile phone terminal of the manager.

[0015] Furthermore, the working method of the coke coking experiment environment stability assessment system based on data analysis comprises the following steps:

[0016] Step 1: Real-time monitoring and analysis of the environment of the coke coking laboratory;

[0017] Step 2: Process and analyze the environmental data of the coke coking laboratory;

[0018] Step 3: Evaluate and analyze the environmental stability of the coke coking laboratory based on environmental fluctuation parameters.

[0019] The present invention has the following beneficial effects:

[0020] 1. The real-time monitoring module can be used to monitor and analyze the environment of the coke coking laboratory in real time. The coverage of the environmental monitoring parameters in the laboratory can be guaranteed through multiple distributed monitoring points, thereby ensuring the data validity of the data analysis process and improving the accuracy of the environmental data analysis results;

[0021] 2. The data analysis module can process and analyze the environmental data of the coke coking laboratory, and conduct statistics on various environmental fluctuation parameters of the coke coking laboratory in a periodic time-division analysis process, and monitor the temperature stability from multiple angles such as the out-of-range duration, out-of-range value, and the degree of dispersion of the overall average temperature;

[0022] 3. The stability assessment module can be used to evaluate and analyze the environmental stability of the coke coking laboratory based on environmental fluctuation parameters, and the stability coefficient can be obtained by comprehensive analysis and calculation of multiple environmental fluctuation parameters of the monitored object. The environmental stability of the monitored object during the processing period can be evaluated through the stability coefficient, and timely warnings can be issued when the environmental fluctuations are abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0025] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Embodiment 1: Figure 1 As shown, a coke coking experimental environment stability assessment system based on data analysis includes a real-time monitoring module, a data analysis module and a stability assessment module, and the real-time monitoring module, the data analysis module and the stability assessment module are communicatively connected in sequence.

[0028] The real-time monitoring module is used to perform real-time monitoring and analysis of the environment of the coke coking laboratory: the coke coking laboratory is marked as a monitoring object, several monitoring points are set in the monitoring object, temperature sensors are set at the monitoring points, the temperature values ​​of the monitoring points are obtained in real time through the temperature sensors, and the temperature values ​​of all monitoring points in the monitoring object are sent to the data analysis module; the coverage of environmental monitoring parameters in the laboratory is guaranteed by the distributed multiple monitoring points, thereby ensuring the data validity of the data analysis process and improving the accuracy of the environmental data analysis results.

[0029] The data analysis module is used to process and analyze the environmental data of the coke coking laboratory: generate a processing cycle and divide the processing cycle into several processing time periods, and obtain the environmental fluctuation parameters of the monitored object at the end of the processing period. The environmental fluctuation parameters include duration data SC, peak data BF and mean difference data JC. The process of obtaining the duration data SC includes: calling the standard temperature range of the coke coking experiment of the monitored object, marking the total time that the temperature value of the monitoring point in the processing period exceeds the standard temperature range as the duration mark value of the monitoring point, and summing the duration mark values ​​of all monitoring points to obtain the duration data SC; the process of obtaining the peak data BF includes: marking the average value of the maximum and minimum values ​​of the standard temperature range as the temperature standard value, and The absolute value of the difference between the temperature value of the monitoring point and the temperature standard value is marked as the temperature wave value of the monitoring point, the maximum value of the temperature wave value of the monitoring point within the processing period is marked as the peak value of the monitoring point, and the peak values ​​of all monitoring points are summed up to obtain the peak data BF; the process of obtaining the mean difference data JC includes: marking the average value of the temperature value of the monitoring point within the processing period as the average temperature value of the monitoring point, and calculating the variance of the average temperature values ​​of all monitoring points to obtain the mean difference data JC; sending the environmental fluctuation parameters of the monitored object to the stability evaluation module; statistically analyzing the various environmental fluctuation parameters of the coke coking laboratory in a periodic time period process, and monitoring the temperature stability from multiple angles such as the out-of-range duration, the out-of-range value, and the degree of dispersion of the overall average temperature.

[0030] The stability assessment module is used to evaluate and analyze the environmental stability of the coke coking laboratory according to the environmental fluctuation parameters: the stability coefficient WD of the monitored object during the processing period is obtained by the formula WD=c1×SC+c2×BF+c3×JC, where c1, c2 and c3 are all proportional coefficients, and c1>c2>c3>1; the stability coefficient WD of the monitored object during the processing period is compared with the preset stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period meets the requirements, an environmental stability signal is generated and sent to the mobile phone terminal of the manager; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period does not meet the requirements, an environmental fluctuation signal is generated and sent to the mobile phone terminal of the manager; a comprehensive analysis and calculation of multiple environmental fluctuation parameters of the monitored object are performed to obtain the stability coefficient, and the environmental stability of the monitored object during the processing period is evaluated by the stability coefficient, so as to give a timely warning when the environmental fluctuation is abnormal.

[0031] Embodiment 2: Figure 2 As shown, a method for evaluating the environmental stability of coke coking experiments based on data analysis comprises the following steps:

[0032] Step 1: Real-time monitoring and analysis of the environment of the coke coking laboratory: Mark the coke coking laboratory as a monitoring object, set a number of monitoring points within the monitoring object, and obtain the temperature values ​​of the monitoring points in real time;

[0033] Step 2: Process and analyze the environmental data of the coke coking laboratory: generate a processing cycle and divide the processing cycle into several processing time periods, and obtain the environmental fluctuation parameters of the monitored object at the end of the processing time period;

[0034] Step 3: Evaluate and analyze the environmental stability of the coke coking laboratory based on the environmental fluctuation parameters: numerically calculate the environmental fluctuation parameters of the monitored object during the treatment period to obtain the stability coefficient WD, and use the stability coefficient WD to determine whether the environmental stability of the monitored object during the treatment period meets the requirements.

[0035] A coke coking experiment environment stability evaluation system based on data analysis, when working, marks the coke coking laboratory as a monitoring object, sets a number of monitoring points in the monitoring object, and obtains the temperature values ​​of the monitoring points in real time; generates a processing cycle and divides the processing cycle into a number of processing time periods, and obtains the environmental fluctuation parameters of the monitoring object at the end of the processing time period; numerically calculates the environmental fluctuation parameters of the monitoring object in the processing time period to obtain a stability coefficient WD, and judges whether the environmental stability of the monitoring object in the processing time period meets the requirements through the stability coefficient WD.

[0036] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0037] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula WD = c1 × SC + c2 × BF + c3 × JC; technicians in this field collect multiple groups of sample data and set corresponding stability coefficients for each group of sample data; substitute the set stability coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation group, screen the calculated coefficients and take the average, and obtain the values ​​of c1, c2 and c3 as 3.08, 2.73 and 2.44 respectively;

[0038] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding stability coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the stability coefficient is proportional to the value of the duration data.

[0039] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0040] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A coke coking experiment environment stability evaluation system based on data analysis, characterized in that: It includes a real-time monitoring module, a data analysis module and a stability assessment module, wherein the real-time monitoring module, the data analysis module and the stability assessment module are sequentially connected in communication; The real-time monitoring module is used to perform real-time monitoring and analysis on the environment of the coke coking laboratory: the coke coking laboratory is marked as a monitoring object, a number of monitoring points are set in the monitoring object, temperature sensors are set at the monitoring points, the temperature values ​​of the monitoring points are obtained in real time through the temperature sensors, and the temperature values ​​of all monitoring points in the monitoring object are sent to the data analysis module; The data analysis module is used to process and analyze the environmental data of the coke coking laboratory: generate a processing cycle and divide the processing cycle into several processing time periods, obtain the environmental fluctuation parameters of the monitored object at the end of the processing time period, and the environmental fluctuation parameters include duration data SC, peak data BF and mean difference data JC, and send the environmental fluctuation parameters of the monitored object to the stability evaluation module; The stability assessment module is used to assess and analyze the environmental stability of the coke coking laboratory based on environmental fluctuation parameters: the stability coefficient WD of the monitored object during the processing period is obtained by numerically calculating the environmental fluctuation parameters of the monitored object, and whether the environmental stability of the monitored object during the processing period meets the requirements is determined by the stability coefficient WD.

2. A coke coking experiment environment stability assessment system based on data analysis according to claim 1, characterized in that: The process of obtaining the duration data SC includes: retrieving the standard temperature range for the coke coking experiment of the monitored object, marking the total duration that the temperature value of the monitoring point during the processing period exceeds the standard temperature range as the duration mark value of the monitoring point, and summing the duration mark values ​​of all monitoring points to obtain the duration data SC.

3. A coke coking experiment environment stability assessment system based on data analysis according to claim 2, characterized in that: The process of obtaining the peak data BF includes: marking the average value of the maximum and minimum values ​​of the standard temperature range as the temperature standard value, marking the absolute value of the difference between the temperature value of the monitoring point and the temperature standard value as the temperature wave value of the monitoring point, marking the maximum value of the temperature wave value of the monitoring point within the processing period as the peak value of the monitoring point, and summing the peak values ​​of all monitoring points to obtain the peak data BF.

4. A coke coking experiment environment stability assessment system based on data analysis according to claim 3, characterized in that: The process of obtaining the mean difference data JC includes: marking the average value of the temperature value of the monitoring point in the processing period as the mean temperature value of the monitoring point, and performing variance calculation on the mean temperature values ​​of all monitoring points to obtain the mean difference data JC.

5. A coke coking experiment environment stability assessment system based on data analysis according to claim 4, characterized in that: The specific process of determining whether the environmental stability of the monitored object during the processing period meets the requirements includes: comparing the stability coefficient WD of the monitored object during the processing period with the preset stability threshold WDmax: if the stability coefficient WD is less than the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period meets the requirements, an environmental stability signal is generated and the environmental stability signal is sent to the mobile phone terminal of the manager; if the stability coefficient WD is greater than or equal to the stability threshold WDmax, it is determined that the environmental stability of the monitored object during the processing period does not meet the requirements, an environmental fluctuation signal is generated and the environmental fluctuation signal is sent to the mobile phone terminal of the manager.

6. A coke coking experiment environment stability assessment system based on data analysis according to any one of claims 1 to 5, characterized in that: The working method of the coke coking experiment environment stability evaluation system based on data analysis comprises the following steps: Step 1: Real-time monitoring and analysis of the environment of the coke coking laboratory; Step 2: Process and analyze the environmental data of the coke coking laboratory; Step 3: Evaluate and analyze the environmental stability of the coke coking laboratory based on environmental fluctuation parameters.

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