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A blast furnace data processing method and device

A data processing and data technology, applied in blast furnaces, blast furnace details, furnaces, etc., can solve problems such as data query lag, increased time complexity and space complexity, and low data processing efficiency

Active Publication Date: 2022-06-24
WISDRI ENG & RES INC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, this method has the following disadvantages: the temperature measured by each thermocouple in the blast furnace changes frequently over time, so the page also needs to update the data in real time, and this method will cause the page to be refreshed when the real-time changing temperature measurement data is obtained. Slow, the problem of data query lag
However, because this method uses multiple traversal judgments, it will increase the time complexity and space complexity; and because in this method, data logic processing and data display are mixed in the same processing module, the data that needs to be monitored and alarmed There may be various situations such as abnormalities of different degrees. If it is directly transmitted to the front end and judged at the front end of the code, the load pressure on the client will be increased, resulting in the problem of low data processing efficiency.

Method used

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  • A blast furnace data processing method and device
  • A blast furnace data processing method and device
  • A blast furnace data processing method and device

Examples

Experimental program
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Effect test

Embodiment 2

[0056] In this embodiment, there is one target point data category, and the blast furnace data is specifically thermocouple temperature measurement data. Insert thermocouples into different depths of the blast furnace, and set up multiple thermocouples at the same depth, which are represented by parameter angles, so as to obtain the temperature measurement data of thermocouples with different insertion depths in the blast furnace.

[0057] Include the following steps:

[0058] Step 201: Acquire all the Json data that needs to be processed or displayed graphically, that is, the temperature measurement data of thermocouples with different insertion depths in the blast furnace, and layer them.

[0059] For each layer of data in the vertical space, do the following:

[0060] Step 202: Convert the original data of a certain layer into the data of the first flow pool.

[0061] Get all the data of a certain insertion depth, and convert the Json data (angle, temperature)...

Embodiment 3

[0068] In Embodiment 1 and Embodiment 2, a single target data point type is given. For example, in Embodiment 2, it is thermocouple temperature measurement data. In a specific application, multiple target data point types can be processed at the same time. like image 3 As shown, in this embodiment, the processing procedures for multiple target data point types are given, including the following steps:

[0069] Step 301: Acquire all Json data that needs to be processed or graphically displayed and layered;

[0070] Step 302: Acquire all data of a certain layer, establish M flow pools according to the total number of target data point types M, each flow pool has three sections, generate three sections of flow pool data in turn, and generate original Json data including layer height and class The first stage of the flow pool data of the two attributes of the key-value pair, the second stage of flow pool data simplified from the first stage of flow pool data, and the thir...

Embodiment 4

[0074] like Figure 4 As shown, the present invention also provides a blast furnace data processing device based on the classification and transformation of vertical spatial data pooling, including the following contents:

[0075] The device includes an acquisition module 401, a layering module 402, a flow pool segmentation simplification module 403 and an output module 404 in total;

[0076] The acquisition module 401 is used to acquire Json data to be processed or graphically displayed, and the Json data is specifically blast furnace data used for monitoring and alarming;

[0077] The layering module 402 is used to divide the Json data into multiple layers in the vertical space according to the data distribution of the blast furnace data collection point in the vertical space of the blast furnace to form layered data; the properties of the layered data include the number of layers, target point and value;

[0078] The flow pool segmentation simplification module...

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Abstract

The invention discloses a blast furnace data processing method and device. The method includes: acquiring Json data that needs to be processed or graphically displayed and stratified. The Json data is blast furnace data used for monitoring and alarming, and its attributes include Layer height, target point and value; for the Json data of each layer in the vertical space, perform the following operations: Step S1: According to the value attribute, collect and process the data of each layer to form the first section of flow pool data; Step S2: According to The value attribute and the threshold range of the alarm, collect and simplify the processing of the first section of flow pool data to form the second section of flow pool data; Step S3: classify and identify the second section of flow pool data to form the third section of flow pool data ; Step S4: output the data of the third section of the flow pool, and perform dynamic display of graphs or tables. This method can improve the processing efficiency of real-time updated data through the customized Json-like structure and the simplification process of pooling.

Description

technical field [0001] The invention relates to a blast furnace management data processing technology, in particular to a blast furnace data processing method and device based on vertical space data pool classification and transformation, which can be used for real-time temperature measurement data monitoring and alarming of blast furnace thermocouples. Background technique [0002] At present, for the monitoring and alarming of the real-time temperature measurement data of blast furnace thermocouple, the main operation is to find out the data in the real-time database or relational database and display it directly on the graphs and tables; [0003] However, this method has the following disadvantages: the temperature measured by each thermocouple in the blast furnace changes frequently over time, so the page also needs to update the data in real time, and this method will cause the page to be refreshed when acquiring the temperature measurement data that changes in real time...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C21B5/00
CPCC21B5/006C21B2300/04
Inventor 何志娟叶理德欧燕刘书文
Owner WISDRI ENG & RES INC LTD
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