CN117804552A - Steel production detection evaluation system based on physical data acquisition and analysis - Google Patents
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 255
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- 238000007550 Rockwell hardness test Methods 0.000 claims description 3
- 238000007545 Vickers hardness test Methods 0.000 claims description 3
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Abstract
The invention discloses a steel production detection evaluation system based on physical data acquisition and analysis, which comprises a steel production acquisition module, a steel sample acquisition module, a steel information acquisition module and a steel evaluation module; the steel production acquisition module is used for acquiring steel production information, and the steel sample acquisition module is used for acquiring a steel sample in the steel production detection evaluation process to acquire the steel sample; the steel information acquisition module is used for carrying out steel detection on a steel sample to obtain steel detection information; the steel evaluation module is used for performing evaluation processing on the steel production information and the steel detection information to obtain steel evaluation information and steel production evaluation information. The invention can carry out more comprehensive, rapid and accurate detection and evaluation of steel production.
Description
Technical Field
The invention relates to the field of detection and evaluation, in particular to a steel production detection and evaluation system based on physical data acquisition and analysis.
Background
In the steel production process, detection is an important link, and relates to various aspects such as temperature, components, thickness, surface quality and the like, so that the steel production detection plays an important role in the steel production process, and is beneficial to improving the product quality, reducing the production cost and ensuring the production safety. Meanwhile, the iron and steel enterprises also need to select proper detection equipment and detection methods according to the production characteristics and the product requirements;
the steel production detection process is summarized, namely, a steel production detection evaluation system is used for knowing the steel production condition.
The existing steel production detection evaluation system is low in detection evaluation accuracy and low in detection analysis speed, and brings a certain influence to the use of the steel production detection evaluation system, so that the steel production detection evaluation system based on physical data acquisition and analysis is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problems that the existing steel production detection and evaluation system has lower detection and evaluation accuracy and slower detection and analysis speed and brings a certain influence to the use of the steel production detection and evaluation system, and provides a steel production detection and evaluation system based on physical data acquisition and analysis.
The invention solves the technical problems through the following technical scheme that the invention comprises a steel production acquisition module, a steel sample acquisition module, a steel information acquisition module and a steel evaluation module;
the steel production acquisition module is used for acquiring steel production information, and the steel sample acquisition module is used for acquiring a steel sample in the steel production detection evaluation process to acquire the steel sample;
the steel information acquisition module is used for carrying out steel detection on a steel sample to obtain steel detection information;
the steel evaluation module is used for performing evaluation processing on the steel production information and the steel detection information to obtain steel evaluation information and steel production evaluation information;
after the steel evaluation information and the steel production evaluation information are generated, the steel production detection evaluation system sends the steel evaluation information and the steel production evaluation information to a preset receiving terminal.
The concrete process of the steel sample collection module for steel research judgment collection is as follows:
determining sampling points: determining the sampling positions and the sampling quantity according to the characteristics and the quality requirements of steel products;
preparing a sampling tool: preparing a proper sampling tool according to the sampling requirement;
collecting a sample: according to the specified sampling method and technical requirements;
recording information: recording the sampling position, date, time and sampling personnel information;
packaging a sample: and packaging the collected steel samples.
The steel information acquisition module is characterized in that the concrete process of the steel information acquisition module for the steel sample is as follows:
the method comprises the steps of detecting the density of steel to obtain steel density information, detecting magnetic property to obtain magnetic property information, detecting hardness to obtain hardness information, detecting tensile strength to obtain tensile strength information, detecting impact toughness to obtain impact toughness information, detecting elastic modulus to obtain elastic modulus information and detecting resistance value to obtain resistance value information;
the steel density information, the magnetic property information, the tensile strength information, the impact toughness information, the elastic modulus information and the resistance value information form steel detection information.
Further, in the process of steel information collection of the steel sample by the steel information collection module, testing is carried out on a detection platform at a preset position, other personnel except detection personnel need to be carried out in the testing process outside a preset range of the detection platform, and when the other personnel except detection personnel enter the preset range of the detection platform, detection warning information is generated.
Further, the specific setting process of the preset range of the detection platform is as follows: when the distance between the detection platform and the wall surface is smaller than a preset value, setting the wall surface as a basic surface, taking the center point of the detection platform as an endpoint to make a vertical line perpendicular to the basic surface, marking the intersection point of the vertical line and the basic surface as a datum point K, then taking the datum point K as a circle center, drawing a semicircle in the direction of the detection platform by taking the preset length a as a radius, and taking the range in the semicircle as the preset range of the detection platform;
when the distance between the detection platform and the wall surface is larger than a preset value, extracting a center point of the detection platform, marking the center point as a reference point M, and drawing a circle by taking the reference point M as a circle center and taking a preset length as a radius, wherein a covered area in the circle is the preset range of the detection platform;
the preset length a is at least 1.5 times the preset length b.
Further, the specific process of obtaining the steel density information by detecting the steel density is as follows: detecting the steel density by using at least two of a watertight method, a water replacement method and a liquid replacement method, and then calculating to obtain a steel density average value, namely obtaining steel density information;
the specific process of acquiring the magnetic performance information by detecting the magnetic performance measurement is as follows: randomly selecting at least three of magnetization curve measurement, hysteresis loop measurement, magnetoresistive effect measurement and Mossburg spectrum measurement for detection, and then calculating the difference value between at least three detection results, wherein when the difference value between the three detection results is smaller than a preset value, the average value between the three detection results is calculated to be magnetic performance information;
the specific process of acquiring the hardness information by the hardness detection is as follows: respectively testing a steel sample by using a Rockwell hardness test, a Brinell hardness test and a Vickers hardness test to obtain Rockwell hardness information, brinell hardness information and Vickers hardness information, converting the Brinell hardness information and the Vickers hardness information into the Rockwell hardness information through a formula to obtain three Rockwell hardness information, calculating the difference between every two of the Rockwell hardness information to obtain evaluation parameters A1 and A2, and calculating the average value of the three Rockwell hardness information when the evaluation parameters A1 and A2 are smaller than a preset value to obtain the hardness information;
the specific process for obtaining the impact toughness information by testing the impact toughness is as follows: when the pendulum impact test, the drop impact test and the sample bending impact test are used for detecting the steel sample, three impact toughness test results are obtained, and the average value of the three impact toughness test results is calculated, namely the impact toughness information is obtained;
the specific process for obtaining the elastic modulus information by the elastic modulus test is as follows: the tensile test method, the bending test method and the dynamic method are used for carrying out elastic modulus test to obtain three elastic modulus test results, and the average value of the three elastic modulus test results is calculated, namely elastic modulus information is obtained;
the specific process of obtaining the resistance value information by the resistance value measurement test is as follows: and (3) performing resistance measurement on the steel sample by using a direct current resistance method and an alternating current resistance method to obtain two resistance measurement results, and calculating the average value of the two resistance measurement results to obtain resistance information.
Further, the steel evaluation information comprises a primary steel evaluation, a secondary steel evaluation and a tertiary steel evaluation, and the specific processing process of the steel evaluation information is as follows: extracting the acquired steel density information, magnetic property information, tensile strength information, impact toughness information, elastic modulus information and resistance value information;
setting a standard density value, standard magnetic property information, standard tensile strength, standard impact toughness, standard elastic modulus and standard resistance value;
calculating the difference value between the steel density information and the standard density value to obtain a first evaluation parameter, the difference value between the magnetic property information and the standard magnetic property information to obtain a second evaluation parameter, the difference value between the tensile strength information and the standard tensile strength to obtain a third evaluation parameter, the difference value between the impact toughness information and the standard impact toughness to obtain a fourth evaluation parameter, the difference value between the elastic modulus information and the standard elastic modulus to obtain a fifth evaluation parameter, and the difference value between the resistance value information and the standard resistance value to obtain a fifth evaluation parameter;
when the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter are all within a preset value range, generating a primary steel evaluation;
when any one of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceeds a preset value range, generating a secondary steel evaluation;
and when any two or more of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceed a preset value range, generating three-level steel evaluation.
Further, the steel production evaluation information comprises normal production and abnormal production, and the specific processing process of the steel production evaluation information is as follows: extracting collected steel production information, wherein the steel production information comprises real-time yield information, real-time consumption raw material information and production duration information;
processing the real-time yield information, the real-time consumption raw material information and the production time length information to obtain production evaluation parameters, generating normal production when the production evaluation parameters are normal, and generating abnormal production when the production evaluation parameters are abnormal.
Further, the process of obtaining the production evaluation parameter and the process of judging abnormality of the production evaluation parameter are as follows: extracting the collected real-time yield information, real-time consumption raw material information and production time length information, marking the real-time yield information as G1, the real-time consumption raw material information as G2 and the production time length information as G3;
calculating the ratio of G2 to G1 to obtain a first parameter, calculating the ratio of G1 to G3 to obtain a second parameter, and forming a production evaluation parameter by the first parameter and the second parameter;
and when any one of the first parameter and the second parameter exceeds a preset range, indicating that the production evaluation parameter is abnormal.
Compared with the prior art, the invention has the following advantages: the steel production detection evaluation system based on the physical data acquisition analysis can provide a rapid and accurate analysis result, is beneficial to timely finding and solving the problems in the production process, and therefore improves the product quality. And secondly, the physical data acquisition analysis can provide abundant data resources, and various performances of the steel materials can be evaluated by analyzing the data, so that the design and manufacturing process of the product can be optimized, and the reliability and safety of the product can be improved. In addition, the quality detection method based on physical data acquisition and analysis can also help enterprises to realize automation and intellectualization of the production process, improve production efficiency and reduce cost. Meanwhile, the detection method can provide a more comprehensive quality management and quality control scheme for enterprises, can ensure personnel safety in the detection process, avoids accidents caused by unnecessary personnel entering a detection area, and makes the system more worth popularizing and using.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: the steel production detection evaluation system based on the physical data acquisition analysis comprises a steel production acquisition module, a steel sample acquisition module, a steel information acquisition module and a steel evaluation module;
the steel production acquisition module is used for acquiring steel production information, and the steel sample acquisition module is used for acquiring a steel sample in the steel production detection evaluation process to acquire the steel sample;
the steel information acquisition module is used for carrying out steel detection on a steel sample to obtain steel detection information;
the steel evaluation module is used for performing evaluation processing on the steel production information and the steel detection information to obtain steel evaluation information and steel production evaluation information;
after the steel evaluation information and the steel production evaluation information are generated, the steel production detection evaluation system sends the steel evaluation information and the steel production evaluation information to a preset receiving terminal;
the invention can provide a rapid and accurate analysis result, is helpful for finding and solving the problems in the production process in time, and thus improves the product quality. And secondly, the physical data acquisition analysis can provide abundant data resources, and various performances of the steel materials can be evaluated by analyzing the data, so that the design and manufacturing process of the product can be optimized, and the reliability and safety of the product can be improved. In addition, the quality detection method based on physical data acquisition and analysis can also help enterprises to realize automation and intellectualization of the production process, improve production efficiency and reduce cost. Meanwhile, the detection method can provide a more comprehensive quality management and quality control scheme for enterprises, can ensure personnel safety in the detection process, avoids accidents caused by unnecessary personnel entering a detection area, and makes the system more worth popularizing and using.
The concrete process of the steel sample collection module for steel research, judgment and collection is as follows:
determining sampling points: determining the sampling positions and the sampling quantity according to the characteristics and the quality requirements of steel products;
preparing a sampling tool: preparing a proper sampling tool according to the sampling requirement;
collecting a sample: according to the specified sampling method and technical requirements;
recording information: recording the sampling position, date, time and sampling personnel information;
packaging a sample: packaging the collected steel samples;
the specific process of collecting the steel sample may vary from sampling purpose to sampling purpose, sampling method and sampling standard to sampling standard. In practice, the accuracy and reliability of the sampling should be ensured following the relevant sampling standards and regulations.
The specific process of the steel information acquisition module for the steel sample by the steel information acquisition module is as follows:
the method comprises the steps of detecting the density of steel to obtain steel density information, detecting magnetic property to obtain magnetic property information, detecting hardness to obtain hardness information, detecting tensile strength to obtain tensile strength information, detecting impact toughness to obtain impact toughness information, detecting elastic modulus to obtain elastic modulus information and detecting resistance value to obtain resistance value information;
the steel density information, the magnetic property information, the tensile strength information, the impact toughness information, the elastic modulus information and the resistance value information form steel detection information.
In the process of steel information acquisition of the steel sample by the steel information acquisition module, testing is carried out on a detection platform at a preset position, other personnel except detection personnel need to be carried out in the testing process outside a preset range of the detection platform, and when the other personnel except detection personnel enter the preset range of the detection platform, detection warning information is generated;
through the process, unnecessary personnel can be reduced to appear around the detection platform, detection safety is guaranteed, and accidental sending caused by the fact that the unnecessary personnel are too close to the detection platform is reduced.
The specific setting process of the preset range of the detection platform is as follows: when the distance between the detection platform and the wall surface is smaller than a preset value, setting the wall surface as a basic surface, taking the center point of the detection platform as an endpoint to make a vertical line perpendicular to the basic surface, marking the intersection point of the vertical line and the basic surface as a datum point K, then taking the datum point K as a circle center, drawing a semicircle in the direction of the detection platform by taking the preset length a as a radius, and taking the range in the semicircle as the preset range of the detection platform;
when the distance between the detection platform and the wall surface is larger than a preset value, extracting a center point of the detection platform, marking the center point as a reference point M, and drawing a circle by taking the reference point M as a circle center and taking a preset length as a radius, wherein a covered area in the circle is the preset range of the detection platform;
the preset length a is at least 1.5 times of the preset length b, the preset length a is set manually, and a user sets the specific preset length a according to actual requirements;
through the setting of the preset range of the detection platform, the accuracy of the setting of the preset range of the detection platform is guaranteed, and monitoring equipment is arranged in the preset range of the detection platform to monitor unnecessary personnel.
The specific process of obtaining the steel density information by detecting the steel density is as follows: detecting the steel density by using at least two of a watertight method, a water replacement method and a liquid replacement method, and then calculating to obtain a steel density average value, namely obtaining steel density information;
watertight method: the specific gravity of the steel when mixed with water is measured by using the principle of specific gravity, thereby determining the density value thereof.
Water substitution method: the density of the steel was calculated by immersing the steel in water and measuring the weight of the displaced water.
Liquid displacement method: calculating the density of the steel by immersing the steel in liquids of different specific gravities and measuring the volume of the displaced liquid;
the specific process of acquiring the magnetic performance information by detecting the magnetic performance measurement is as follows: randomly selecting at least three of magnetization curve measurement, hysteresis loop measurement, magnetoresistive effect measurement and Mossburg spectrum measurement for detection, and then calculating the difference value between at least three detection results, wherein when the difference value between the three detection results is smaller than a preset value, the average value between the three detection results is calculated to be magnetic performance information;
magnetization curve measurement: by measuring the magnetization intensity of steel under different magnetic field intensity, a magnetization curve is drawn, so that the magnetization behavior and hysteresis effect of steel can be reflected.
Hysteresis loop measurement: by measuring the magnetization intensity of steel in a forward and reverse magnetic field, a hysteresis loop is drawn, and parameters such as coercive force and remanence of steel can be reflected.
Magnetoresistive effect measurement: the magnetic resistance effect of steel is studied by measuring the resistance change of steel in a magnetic field, and the method can be used for researching the magnetostriction effect, the magneto resistance effect and the like of steel.
Musburg spectral measurement: by measuring musburg resonance of steel at a specific frequency, hyperfine interaction, local magnetic field distribution and the like of the steel are studied;
the specific process of acquiring the hardness information by the hardness detection is as follows: respectively testing a steel sample by using a Rockwell hardness test, a Brinell hardness test and a Vickers hardness test to obtain Rockwell hardness information, brinell hardness information and Vickers hardness information, converting the Brinell hardness information and the Vickers hardness information into the Rockwell hardness information through a formula to obtain three Rockwell hardness information, calculating the difference between every two of the Rockwell hardness information to obtain evaluation parameters A1 and A2, and calculating the average value of the three Rockwell hardness information when the evaluation parameters A1 and A2 are smaller than a preset value to obtain the hardness information;
the conversion between Rockwell Hardness (HRC), brinell Hardness (HB), and Vickers Hardness (HV) may be performed by the following equation:
conversion of Rockwell to Vickers hardness:
HRC = HV × 0.475
HV = HRC / 0.475
conversion of Rockwell to Brinell hardness:
HRC = HB × 0.9
HB = HRC / 0.9
conversion of vickers hardness to brinell hardness:
HV = HB × 1.1
HB = HV / 1.1
these formulas may help us switch between different hardness testing methods. It should be noted that these formulas may have certain errors, so that the correct operation procedure and safety precautions should be followed when performing hardness test and conversion to ensure the accuracy and reliability of the test result;
the specific process for obtaining the impact toughness information by testing the impact toughness is as follows: when the pendulum impact test, the drop impact test and the sample bending impact test are used for detecting the steel sample, three impact toughness test results are obtained, and the average value of the three impact toughness test results is calculated, namely the impact toughness information is obtained;
pendulum impact test: and fixing the sample with a certain shape on the support, lifting the pendulum to a preset angle, then releasing the pendulum to enable the pendulum to break the sample, and measuring the work consumed by the pendulum to break the sample. The method is suitable for steel materials with larger impact toughness.
Drop hammer impact test: lifting a drop hammer with a certain mass to a certain height, then releasing the drop hammer to enable the drop hammer to impact the sample and beating the drop hammer into a plurality of blocks, and measuring the work consumed by the drop hammer to impact the sample. The method is suitable for steel materials with smaller impact toughness;
the specific process for obtaining the elastic modulus information by the elastic modulus test is as follows: the tensile test method, the bending test method and the dynamic method are used for carrying out elastic modulus test to obtain three elastic modulus test results, and the average value of the three elastic modulus test results is calculated, namely elastic modulus information is obtained;
tensile test method: the stress-strain curve is then measured by applying a tensile force to the steel material to deform it. The elastic modulus can be calculated from the slope of the linear region, i.e., the portion where the strain is linear.
Bending test method: a constant bending stress was applied to the test piece, and the elastic bending deflection was measured, and the elastic modulus was calculated from the stress and the strain.
Dynamic method: vibration testing is carried out on the steel materials by utilizing a vibration testing technology, and then the elastic modulus is calculated according to parameters such as frequency, amplitude and the like;
the specific process of obtaining the resistance value information by the resistance value measurement test is as follows: the method comprises the steps of performing resistance measurement on a steel sample by using a direct current resistance method and an alternating current resistance method to obtain two resistance measurement results, and calculating the average value of the two resistance measurement results to obtain resistance information;
direct current resistance method: the resistance value of the material is calculated by measuring the voltage drop generated in the material by direct current by taking the steel material as a long straight wire. The method is suitable for short-distance measurement and has higher precision.
Ac resistance method: the resistance value of the material is calculated by measuring the impedance of the alternating current generated in the material by taking the steel material as a part of the inductor. The method is suitable for long-distance measurement and has higher precision.
The steel evaluation information comprises primary steel evaluation, secondary steel evaluation and tertiary steel evaluation, and the specific processing process of the steel evaluation information is as follows: extracting the acquired steel density information, magnetic property information, tensile strength information, impact toughness information, elastic modulus information and resistance value information;
setting a standard density value, standard magnetic property information, standard tensile strength, standard impact toughness, standard elastic modulus and standard resistance value;
calculating the difference value between the steel density information and the standard density value to obtain a first evaluation parameter, the difference value between the magnetic property information and the standard magnetic property information to obtain a second evaluation parameter, the difference value between the tensile strength information and the standard tensile strength to obtain a third evaluation parameter, the difference value between the impact toughness information and the standard impact toughness to obtain a fourth evaluation parameter, the difference value between the elastic modulus information and the standard elastic modulus to obtain a fifth evaluation parameter, and the difference value between the resistance value information and the standard resistance value to obtain a fifth evaluation parameter;
when the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter are all within a preset value range, generating a primary steel evaluation;
when any one of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceeds a preset value range, generating a secondary steel evaluation;
and when any two or more of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceed a preset value range, generating three-level steel evaluation.
The steel production evaluation information comprises normal production and abnormal production, and the specific processing process of the steel production evaluation information is as follows: extracting collected steel production information, wherein the steel production information comprises real-time yield information, real-time consumption raw material information and production duration information;
processing the real-time yield information, the real-time consumption raw material information and the production time length information to obtain production evaluation parameters, generating normal production when the production evaluation parameters are normal, and generating abnormal production when the production evaluation parameters are abnormal.
The process for acquiring the production evaluation parameters and the process for judging the abnormality of the production evaluation parameters are as follows: extracting the collected real-time yield information, real-time consumption raw material information and production time length information, marking the real-time yield information as G1, the real-time consumption raw material information as G2 and the production time length information as G3;
calculating the ratio of G2 to G1 to obtain a first parameter, calculating the ratio of G1 to G3 to obtain a second parameter, and forming a production evaluation parameter by the first parameter and the second parameter;
when any one of the first parameter and the second parameter exceeds a preset range, the production evaluation parameter is abnormal;
through the process, whether the steel production has problems or not can be known, the first parameter exceeds the preset range, namely, the abnormal consumption of raw materials in the production process can possibly cause the quality abnormality of the produced steel, and the second parameter is abnormal, namely, the abnormal production speed of the steel can possibly cause the quality abnormality of the produced steel.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. The steel production detection evaluation system based on the physical data acquisition and analysis is characterized by comprising a steel production acquisition module, a steel sample acquisition module, a steel information acquisition module and a steel evaluation module;
the steel production acquisition module is used for acquiring steel production information, and the steel sample acquisition module is used for acquiring a steel sample in the steel production detection evaluation process to acquire the steel sample;
the steel information acquisition module is used for carrying out steel detection on a steel sample to obtain steel detection information;
the steel evaluation module is used for performing evaluation processing on the steel production information and the steel detection information to obtain steel evaluation information and steel production evaluation information;
after the steel evaluation information and the steel production evaluation information are generated, the steel production detection evaluation system sends the steel evaluation information and the steel production evaluation information to a preset receiving terminal.
2. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 1, wherein: the concrete process of the steel sample collection module for steel research, judgment and collection is as follows:
determining sampling points: determining the sampling positions and the sampling quantity according to the characteristics and the quality requirements of steel products;
preparing a sampling tool: preparing a proper sampling tool according to the sampling requirement;
collecting a sample: according to the specified sampling method and technical requirements;
recording information: recording the sampling position, date, time and sampling personnel information;
packaging a sample: and packaging the collected steel samples.
3. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 1, wherein: the specific process of the steel information acquisition module for the steel sample by the steel information acquisition module is as follows:
the method comprises the steps of detecting the density of steel to obtain steel density information, detecting magnetic property to obtain magnetic property information, detecting hardness to obtain hardness information, detecting tensile strength to obtain tensile strength information, detecting impact toughness to obtain impact toughness information, detecting elastic modulus to obtain elastic modulus information and detecting resistance value to obtain resistance value information;
the steel density information, the magnetic property information, the tensile strength information, the impact toughness information, the elastic modulus information and the resistance value information form steel detection information.
4. A steel production detection and assessment system based on physical data acquisition analysis according to claim 3, wherein: the steel information acquisition module is used for carrying out a steel information acquisition process on a steel sample, testing is carried out on a detection platform at a preset position, other personnel except detection personnel need to be carried out in the testing process outside a preset range of the detection platform, and when the other personnel except the detection personnel enter the preset range of the detection platform, detection warning information is generated.
5. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 4, wherein: the specific setting process of the preset range of the detection platform is as follows: when the distance between the detection platform and the wall surface is smaller than a preset value, setting the wall surface as a basic surface, taking the center point of the detection platform as an endpoint to make a vertical line perpendicular to the basic surface, marking the intersection point of the vertical line and the basic surface as a datum point K, then taking the datum point K as a circle center, drawing a semicircle in the direction of the detection platform by taking the preset length a as a radius, and taking the range in the semicircle as the preset range of the detection platform;
when the distance between the detection platform and the wall surface is larger than a preset value, extracting a center point of the detection platform, marking the center point as a reference point M, and drawing a circle by taking the reference point M as a circle center and taking a preset length as a radius, wherein a covered area in the circle is the preset range of the detection platform;
the preset length a is at least 1.5 times the preset length b.
6. A steel production detection and assessment system based on physical data acquisition analysis according to claim 3, wherein: the specific process of obtaining the steel density information by detecting the steel density is as follows: detecting the steel density by using at least two of a watertight method, a water replacement method and a liquid replacement method, and then calculating to obtain a steel density average value, namely obtaining steel density information;
the specific process of acquiring the magnetic performance information by detecting the magnetic performance measurement is as follows: randomly selecting at least three of magnetization curve measurement, hysteresis loop measurement, magnetoresistive effect measurement and Mossburg spectrum measurement for detection, and then calculating the difference value between at least three detection results, wherein when the difference value between the three detection results is smaller than a preset value, the average value between the three detection results is calculated to be magnetic performance information;
the specific process of acquiring the hardness information by the hardness detection is as follows: respectively testing a steel sample by using a Rockwell hardness test, a Brinell hardness test and a Vickers hardness test to obtain Rockwell hardness information, brinell hardness information and Vickers hardness information, converting the Brinell hardness information and the Vickers hardness information into the Rockwell hardness information through a formula to obtain three Rockwell hardness information, calculating the difference between every two of the Rockwell hardness information to obtain evaluation parameters A1 and A2, and calculating the average value of the three Rockwell hardness information when the evaluation parameters A1 and A2 are smaller than a preset value to obtain the hardness information;
the specific process for obtaining the impact toughness information by testing the impact toughness is as follows: when the pendulum impact test, the drop impact test and the sample bending impact test are used for detecting the steel sample, three impact toughness test results are obtained, and the average value of the three impact toughness test results is calculated, namely the impact toughness information is obtained;
the specific process for obtaining the elastic modulus information by the elastic modulus test is as follows: the tensile test method, the bending test method and the dynamic method are used for carrying out elastic modulus test to obtain three elastic modulus test results, and the average value of the three elastic modulus test results is calculated, namely elastic modulus information is obtained;
the specific process of obtaining the resistance value information by the resistance value measurement test is as follows: and (3) performing resistance measurement on the steel sample by using a direct current resistance method and an alternating current resistance method to obtain two resistance measurement results, and calculating the average value of the two resistance measurement results to obtain resistance information.
7. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 1, wherein: the steel evaluation information comprises primary steel evaluation, secondary steel evaluation and tertiary steel evaluation, and the specific processing process of the steel evaluation information is as follows: extracting the acquired steel density information, magnetic property information, tensile strength information, impact toughness information, elastic modulus information and resistance value information;
setting a standard density value, standard magnetic property information, standard tensile strength, standard impact toughness, standard elastic modulus and standard resistance value;
calculating the difference value between the steel density information and the standard density value to obtain a first evaluation parameter, the difference value between the magnetic property information and the standard magnetic property information to obtain a second evaluation parameter, the difference value between the tensile strength information and the standard tensile strength to obtain a third evaluation parameter, the difference value between the impact toughness information and the standard impact toughness to obtain a fourth evaluation parameter, the difference value between the elastic modulus information and the standard elastic modulus to obtain a fifth evaluation parameter, and the difference value between the resistance value information and the standard resistance value to obtain a fifth evaluation parameter;
when the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter are all within a preset value range, generating a primary steel evaluation;
when any one of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceeds a preset value range, generating a secondary steel evaluation;
and when any two or more of the first evaluation parameter, the second evaluation parameter, the third evaluation parameter, the fourth evaluation parameter and the fifth evaluation parameter exceed a preset value range, generating three-level steel evaluation.
8. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 1, wherein: the steel production evaluation information comprises normal production and abnormal production, and the specific processing process of the steel production evaluation information is as follows: extracting collected steel production information, wherein the steel production information comprises real-time yield information, real-time consumption raw material information and production duration information;
processing the real-time yield information, the real-time consumption raw material information and the production time length information to obtain production evaluation parameters, generating normal production when the production evaluation parameters are normal, and generating abnormal production when the production evaluation parameters are abnormal.
9. The steel production detection and assessment system based on physical data acquisition and analysis according to claim 8, wherein: the process for acquiring the production evaluation parameters and the process for judging the abnormality of the production evaluation parameters are as follows: extracting the collected real-time yield information, real-time consumption raw material information and production time length information, marking the real-time yield information as G1, the real-time consumption raw material information as G2 and the production time length information as G3;
calculating the ratio of G2 to G1 to obtain a first parameter, calculating the ratio of G1 to G3 to obtain a second parameter, and forming a production evaluation parameter by the first parameter and the second parameter;
and when any one of the first parameter and the second parameter exceeds a preset range, indicating that the production evaluation parameter is abnormal.
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