Waste steel inspection and acceptance treatment method and system suitable for iron and steel industry

Abstract

The invention discloses a waste steel inspection and acceptance processing method and system suitable for the iron and steel industry, and the method comprises the steps: generating and obtaining first data corresponding to waste steel to be inspected and accepted through the method, and transmitting the first data in real time; wherein the first data is basic parameter data of waste steel; analyzing and processing the first data, generating second data corresponding to the first data, and verifying and processing the second data in real time; wherein the second data is the data after the first data is analyzed and verified; creating a scrap steel material quality inspection rating model corresponding to the to-be-inspected and accepted scrap steel, and generating third data corresponding to the to-be-inspected and accepted scrap steel based on the model; wherein the third data is scrap steel quality level data, and the system corresponding to the method can improve the accuracy of quality inspection and rating, reduce human intervention and reduce the influence of subjective factors on the result of quality inspection and rating.

Description

Technical Field

[0001] The present invention belongs to the technical field of inspection and acceptance of scrap steel in the steel industry, and in particular relates to a method and system for inspection and acceptance of scrap steel in the steel industry. Background Art

[0003] The quality inspection of steel materials is a key link for steel enterprises. It is related to the production quality, cost control and stability of the supply chain of the enterprise. However, many steel enterprises do have some problems in the quality inspection of scrap steel materials, especially over-reliance on human eyes and human experience to determine the grade of scrap steel materials. First of all, this practice is not only inefficient, but also easily affected by the subjective factors of quality inspectors. Different quality inspectors may give different ratings to the same batch of scrap steel materials, resulting in inconsistent and inaccurate quality inspection results. This subjectivity not only affects the fairness between them, but may also cause disputes between suppliers and steel enterprises.

[0004] Secondly, there is a possibility of collusion between quality inspectors and suppliers, which increases the integrity risk of the quality inspection process. Some quality inspectors may be tempted by the interests of suppliers and relax the judgment standards or improve the grade judgment results, causing enterprises to pay unnecessary fees or even suffer economic losses. This behavior not only damages the interests of steel companies, but also may undermine the fairness and stability of the entire supply chain.

[0005] Therefore, in view of the above technical problems and defects, it is urgent to design and develop a scrap steel inspection and acceptance processing method and system suitable for the steel industry. Summary of the invention

[0006] In order to overcome the shortcomings and difficulties of the above-mentioned prior art, the purpose of the present invention is to provide a scrap steel inspection, acceptance and processing method and system suitable for the steel industry, which can improve the accuracy of quality inspection and grading, reduce human intervention, and reduce the influence of subjective factors on quality inspection and grading results.

[0007] The first object of the present invention is to provide a scrap steel inspection, acceptance and processing method applicable to the steel industry; the second object of the present invention is to provide a scrap steel inspection, acceptance and processing system applicable to the steel industry.

[0008] The first object of the present invention is achieved in that the method comprises the following steps: Generate and obtain first data corresponding to the scrap steel to be inspected and accepted, and transmit the first data in real time; wherein the first data is basic parameter data of the scrap steel; Parsing and processing the first data, and generating second data corresponding to the first data, and verifying and processing the second data in real time; wherein the second data is the data after parsing and verifying the first data; A scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted is created, and third data corresponding to the scrap steel to be inspected and accepted is generated based on the model; wherein the third data is scrap steel quality grade data.

[0009] Furthermore, the basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

[0010] Further, the parsing and processing of the first data, generating second data corresponding to the first data, and simultaneously verifying and processing the second data in real time, further includes: Generate and obtain formula data corresponding to the scrap steel to be inspected and accepted, and parse and process the first data in real time according to the formula data; According to the formula data, fourth data corresponding to the scrap steel to be inspected and accepted is calculated and generated; wherein the fourth data is the grade data of the scrap steel.

[0011] Furthermore, the step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: According to the grade data of scrap steel and combined with the formula data corresponding to the scrap steel to be inspected and accepted; determine in real time whether the scrap steel material quality inspection and rating model has been successfully created; Generate and issue control instructions for scrap steel acceptance rating model.

[0012] Furthermore, the step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: The third data is displayed visually and stored in real time.

[0013] The second object of the present invention is achieved in this way: the system is applied to the scrap steel inspection and acceptance processing method applicable to the steel industry, and the system comprises: A first data generating unit is used to generate and obtain first data corresponding to the scrap steel to be inspected and accepted, and transmit the first data in real time; wherein the first data is basic parameter data of the scrap steel; A data analysis and processing unit, used to analyze and process the first data, generate second data corresponding to the first data, and verify and process the second data in real time; wherein the second data is the first data after analysis and verification; The data creation and generation unit is used to create a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generate third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein the third data is scrap steel quality grade data.

[0014] Furthermore, the basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

[0015] Furthermore, the data analysis processing unit further includes: A first data generation module is used to generate and obtain formula data corresponding to the scrap steel to be inspected and accepted, and to parse and process the first data in real time according to the formula data; The second data generating module is used to calculate and generate fourth data corresponding to the scrap steel to be inspected and accepted according to the formula data; wherein the fourth data is the grade data of the scrap steel.

[0016] Furthermore, the data creation and generation unit further includes: The first determination module is used to determine in real time whether the scrap steel material quality inspection and rating model is successfully created based on the scrap steel grade data and the formula data corresponding to the scrap steel to be inspected and accepted; The third data generation module is used to generate and issue a control instruction for the scrap steel acceptance rating model.

[0017] Furthermore, the data creation and generation unit further includes: The visualization display module is used to visualize the third data and store the third data in real time.

[0018] The present invention generates and obtains first data corresponding to the scrap steel to be inspected and accepted through a method, and transmits the first data in real time; wherein, the first data is the basic parameter data of the scrap steel; parses and processes the first data, and generates second data corresponding to the first data, and verifies and processes the second data in real time; wherein, the second data is the data after parsing and verifying the first data; creates a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generates third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein, the third data is the scrap steel quality grade data, and a system corresponding to the method can improve the accuracy of quality inspection and rating, reduce human intervention, and reduce the influence of subjective factors on quality inspection and rating results. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0020] Figure 1 It is a schematic diagram of the structure of an embodiment of a method for inspecting and accepting scrap steel applicable to the steel industry; Figure 2 This is a schematic diagram of data processing of an embodiment of a method for inspecting and accepting scrap steel applicable to the steel industry of the present invention; Figure 3 This is a schematic diagram of a process flow of a scrap steel inspection and acceptance processing method applicable to the steel industry of the present invention; Figure 4 This is a schematic diagram of the architecture of a scrap steel inspection, acceptance and processing system applicable to the steel industry of the present invention; The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0021] In order to better understand the purpose, technical solutions and advantages of the present invention, the present invention is further described below in conjunction with the accompanying drawings and specific implementation methods. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0022] The present invention may also be implemented or applied through other different specific examples, and the details in this specification may also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0023] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0024] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. Secondly, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings. Figure 1-Figure 3 As shown, the present invention provides a method for inspection and acceptance of scrap steel applicable to the steel industry, wherein the method comprises the following steps: S101, generating and acquiring first data corresponding to the scrap steel to be inspected and accepted, and transmitting the first data in real time; wherein the first data is basic parameter data of the scrap steel; S102, parsing and processing the first data, and generating second data corresponding to the first data, and verifying and processing the second data in real time; wherein the second data is the data after parsing and verifying the first data; S103, creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein the third data is scrap steel quality grade data.

[0026] The basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

[0027] The parsing and processing of the first data, generating second data corresponding to the first data, and verifying and processing the second data in real time also includes: S1021, generating and acquiring formula data corresponding to the scrap steel to be inspected and accepted, and analyzing and processing the first data in real time according to the formula data; S1022. Calculate and generate fourth data corresponding to the scrap steel to be inspected and accepted according to the formula data; wherein the fourth data is the grade data of the scrap steel.

[0028] The step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: S1031. Based on the grade data of the scrap steel and in combination with the formula data corresponding to the scrap steel to be inspected and accepted, it is determined in real time whether the scrap steel material quality inspection and rating model is successfully created; S1032. Generate and issue a control instruction for the scrap steel acceptance rating model.

[0029] The step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: S1033. Visually display the third data, and store the third data in real time.

[0030] Specifically, in an embodiment of the present invention, the embodiment of the present application provides a scrap steel inspection and acceptance rating model and device based on a calculation formula applied to the steel industry, so as to achieve the fairness of the inspection and rating of the quality of scrap steel materials in the steel industry, ensure that on-site quality inspectors are not corrupted by suppliers, and at the same time improve the operational efficiency and cost control capabilities. The technical solution is as follows: a scrap steel inspection and acceptance rating model and device based on a calculation formula applied to the steel industry are provided, including: scrap steel inspection data acquisition equipment, calculation formula configuration equipment, scrap steel acceptance rating model management equipment, scrap steel acceptance rating model publishing equipment, and scrap steel acceptance rating result analysis equipment. The model and device are applied; The inspection data of scrap steel materials are finally stored in the database; the scrap steel inspection data acquisition equipment has a built-in MQTT protocol, through which the data of the on-site inspection equipment is collected in time series; the scrap steel materials' net weight of the vehicle, briquette density, briquette length, briquette width, briquette height, impurities weighed after peeling, impurity content, unqualified quantity for overlength, unqualified quantity, moisture deduction, and other deductions are collected.

[0031] Furthermore, after the scrap steel inspection data acquisition equipment collects the data, it inputs the data into the calculation formula configuration device through the MQTT protocol. The calculation formula configuration device dynamically configures the material rating calculation formula and provides the enterprise with a visual formula configuration interface for the device. Through Jep formula analysis + built-in formula engine algorithm, it identifies commonly used mathematical formulas, such as the commonly used if function, round function, sum function, etc. The scrap steel grading will be determined by the following calculation formula to calculate the grade. The rules are as follows: Material grade of vehicle = (total deduction - net weight of vehicle) / grade coefficient; Total deduction = round(if(deduction for debris + deduction for size inspection + deduction for unqualified quantity + deduction for moisture + other deductions)> net weight*1000, net weight*1000, (deduction for debris + deduction for size inspection + deduction for unqualified quantity + deduction for moisture + other deductions), 0) / 1000; Trash deduction = round (trash content * net weight * 1000 / 100, 0); Impurity rate = round(if(impurity>0, impurity / briquette weight*100,100),2); Size inspection deduction = round (size overlength unqualified amount * 2 / 100, 2); Deduction amount for unqualified quantity = round (net weight*unqualified quantity / 100*0.5*1000, 0); Grade coefficient = round((briquette density * briquette length * briquette width * briquette height) / 100*0.5,0); The calculation formula configuration device dynamically builds in the above formula, provides formula verification and formula analysis, and inputs the successfully analyzed combination formula into the scrap steel acceptance rating model management device. After receiving the successful combination formula, the device will use these formulas to generate a scrap steel material quality inspection rating model. This model can receive or process the input scrap steel data in the field, and calculate the grade determination result according to the set formula. The device is not only responsible for the management and maintenance of the generated model, but also includes model updates, version control, etc.

[0032] As described above, after generating the model, the scrap steel acceptance rating model management device will send the model to the scrap steel acceptance rating model publishing device through the data interface. After successfully receiving the model, the scrap steel acceptance rating model publishing device will again access the MQTT protocol data of the scrap steel inspection data acquisition device to assemble it into a scrap steel acceptance rating model with data.

[0033] The scrap steel acceptance result analysis device will receive the input data of the scrap steel acceptance rating model publishing device, that is, the scrap steel acceptance rating model with data. The scrap steel acceptance result analysis device has a built-in running engine of the Flink stream processing framework. The scrap steel acceptance rating model with data is started and run through the running engine, and then based on the combination of Spark big data real-time calculation and batch calculation, the model analysis and data real-time calculation are realized. The model data calculation and analysis are performed according to the calculation formula bound to the model. After the analysis is successful, the grade determination result of the scrap steel material on the vehicle is formed.

[0034] The scrap steel inspection data acquisition equipment, calculation formula configuration equipment, scrap steel acceptance rating model management equipment, scrap steel acceptance rating model publishing equipment, and scrap steel acceptance rating result analysis equipment of the present invention cooperate with each other. The application of the model and the device can construct a rating standard for scrap steel material quality inspection, provide enterprises with accuracy and fairness in scrap steel material quality inspection, and reduce the influence of human factors. Human misjudgment or intentional judgment as high grade will bring immeasurable economic losses to the enterprise. Through the application of the model and the device, the integrity risk problems that may arise in the steel industry during the scrap steel material grade determination process can be effectively controlled.

[0035] That is to say, Figure 1 As shown, the structure of a scrap steel inspection and acceptance rating model and device based on a calculation formula applied to the steel industry in this embodiment includes: Inspection and testing equipment S01, scrap steel inspection data collection equipment S02, calculation formula configuration equipment S03, scrap steel acceptance rating model management equipment S04, scrap steel acceptance rating model publishing equipment S05, scrap steel acceptance result analysis SO6, scrap steel grade determination S07.

[0036] The inspection and testing equipment is the equipment S01 used by the steel enterprise for inspection and testing quality inspection. The equipment has a PLC interface and an API interface provided by the data platform associated with the equipment. The data is transmitted to the input interface of the scrap steel inspection data acquisition equipment S02 through the interface. S02 has a built-in MQTT driver. The data obtained through the input interface of S02 is sent to the output interface of S02 through the MQTT protocol and output to the input interface of the calculation formula configuration equipment S03; The calculation formula configuration device S03 has the following built-in formula: The scrap steel grading will be determined by the following calculation formula to calculate the grade. The rules are as follows: Material grade of vehicle = (total deduction - net weight of vehicle) / grade coefficient; Total deduction = round(if(deduction for debris + deduction for size inspection + deduction for unqualified quantity + deduction for moisture + other deductions)> net weight*1000, net weight*1000, (deduction for debris + deduction for size inspection + deduction for unqualified quantity + deduction for moisture + other deductions), 0) / 1000; Trash deduction = round (trash content * net weight * 1000 / 100, 0); Impurity rate = round(if(impurity>0,impurity / briquette weight*100,100),2); Size inspection deduction = round (size overlength unqualified amount * 2 / 100, 2); Deduction amount for unqualified quantity = round (net weight*unqualified quantity / 100*0.5*1000, 0); Grade coefficient = round((briquette density * briquette length * briquette width * briquette height) / 100*0.5,0); The calculation formula configuration device S03, through the visual configuration interface, builds the calculation formula into the device, and through the device's Jep formula parser, sends the data output from the S02 output interface to the S03 input interface, substitutes it into the formula for parsing, if the parsing fails, it is necessary to readjust the built-in formula, if the parsing is successful, the data + built-in calculation formula is allowed to be released, and the successfully parsed combined formula + data is input into the input interface of the scrap steel acceptance rating model management device S04 through the S03 output interface; The scrap steel acceptance rating model management device S04, after receiving the successful combination formula, will automatically use these formulas to generate a scrap steel material quality inspection rating model. This model can receive or process the input scrap steel data and calculate the grade determination result according to the set formula; the device is not only responsible for the management and maintenance of the generated model, but also includes the update and version control of the model. The formula generates the scrap steel material quality inspection and rating model by calling the built-in model building service method of the S04 device when obtaining the output interface data of S03 through the input interface of S04. The rules of the service method are as follows: RES=IF(S03 output interface formula analysis result); If RES==true, call the addSrevice service to add a new model. The new model includes information such as model name, model combination formula, model version, etc. If RES==false, the reception is rejected and the formula is reconfigured by S03 formula analysis; After the model is successfully established in S04, the corresponding scrap steel data will be processed by receiving or inputting through the device. The model will pre-calculate the grade determination result according to the input data. At this time, the result of the model is only for reference. Once the pre-calculated grade determination result is generated, it means that the model is successfully created and has an input interface for sending the scrap steel material quality inspection and rating model to the scrap steel acceptance and rating model publishing device S05; After receiving the model data sent by the output interface of S04, the scrap steel acceptance rating model issuing device S05 will again access the data transmitted downward by each device (the net weight of the vehicle, the density of the briquette, the length of the briquette, the width of the briquette, the height of the briquette, the impurities weighed by the peeling, the impurities content, the unqualified quantity of over-length, the unqualified quantity, the moisture deduction, and other deductions), and automatically access the data to the scrap steel acceptance rating model through the data model block to assemble it into a scrap steel acceptance rating model with data; The data model block mainly binds the current data to the model; After the scrap steel acceptance rating model with data is successfully assembled, S05 sends the scrap steel acceptance rating model with data to the input interface of the scrap steel acceptance result analysis device S06 through the output interface; The scrap steel acceptance result analysis device S06, after receiving the scrap steel acceptance rating model with data from S05, receives the release instruction (RES==TRUE) of the S05 output interface; after successful reception, it will enable the running engine of the Flink stream processing framework to realize the model operation of the scrap steel acceptance rating model with data, and use Spark as the memory distributed computing framework to parse the model.

[0037] Spark provides a variety of operators to meet the needs of model analysis. If the analysis is successful, the analysis instruction (RES==TRUE) will be obtained, and the data on the model will be included in the model calculation (the calculation formula is the material grade of the vehicle = (total deduction quantity - net weight of the vehicle) / grade coefficient%), and the material grade of the vehicle, that is, the grade of the scrap steel material, will be calculated; After calculating the scrap steel material grade, the scrap steel acceptance result analysis device S06 sends the result to the scrap steel grade determination device S07 through the output interface. S07 has a built-in data storage service and stores the result in the scrap steel material inspection database.

[0038] As another embodiment, Figure 2 As shown, the present embodiment is a data processing of a scrap steel inspection and acceptance rating model and device based on a calculation formula applied to the steel industry, including: scrap steel inspection data acquisition MQTT protocol SM01, calculation formula configuration engine SM02, model management engine SM03, model publishing engine SM04, scrap steel acceptance result analysis engine SM05, scrap steel material inspection database SM06, and output interface SM07.

[0039] Scrap steel inspection and data collection MQTT protocol SM01: The device PLC interface of the inspection and testing equipment S01 itself and the API interface of the equipment binding platform are driven by the built-in MQTT of the scrap steel inspection and data collection equipment S02. Through the MQTT protocol of SM01, that is, the MQTT data collection interface, the data of S01 (net weight of the vehicle, block density, block length, block width, block height, impurities weighed after skinning, impurities content, unqualified quantity due to overlength, unqualified quantity, moisture deduction, and other deductions) are collected. The collected data is first produced through Kafka.

[0040] Calculation formula configuration engine SM02: The calculation formula configuration device S03 configures the scrap steel material grade calculation formula through a visual configuration page, and builds it into the S03 device. The built-in process parses the data formula. The data formula is parsed by the Jep formula parser. After the parsing is successful, the data will be consumed through Kafka first. During the consumption process, the data will be substituted into the data formula for verification. After the verification is successful, SM02 will complete the generation of the mathematical formula.

[0041] Model management engine SM03: After SM02 completes the generation of mathematical formulas, it will bring the combined formula into the scrap steel acceptance rating model management device S04 through the output interface of S02. S04 will first verify the combined formula, that is, verify the correctness of the combined formula again. After the verification is successful, S04 will establish a model and automatically use these formulas to generate a scrap steel material quality inspection and rating model, such as the scrap steel acceptance rating model management device S04 described in Example 1, to form version-controlled model management data.

[0042] Model publishing engine SM04: After SM03 sends the model through the output interface of S04, it is received through the input interface of the scrap steel acceptance rating model publishing device S05. After successful reception, the MQTT protocol will be used again to access the data, and data will be produced through Kafka again. The produced data is consistent with the SM01; the produced data is bound to the scrap steel material quality inspection and rating model sent by SM03 to form a data + rating model. Based on Spark, big data real-time calculation is used to verify the data + rating model. After successful verification, a scrap steel material quality inspection and rating model with data is generated, and the release instruction is issued through S05.

[0043] Scrap steel acceptance result analysis engine SM05: After SM04 issues a release instruction through S05, S06 obtains the issuance instruction (RES==TRUE) successfully through the input interface, and then enables the running engine of the Flink stream processing framework to realize the model operation of the scrap steel acceptance rating model with data. It will consume data through Kafka again and bring the data into the rating model. Spark is used as the memory distributed computing framework to parse the model. Spark provides a wealth of operators to meet the parsing of the model. If the parsing is successful, it will obtain the parsing instruction (RES==TRUE), and will include the data on the model into the model calculation (the calculation formula is the material grade of the vehicle = (total deduction - net weight of the vehicle) / grade coefficient%), and calculate the material grade of the vehicle, that is, the scrap steel material judgment grade, that is, the scrap steel grade.

[0044] Scrap steel acceptance result analysis engine SM06: After the SM05 rating model is successfully parsed and the scrap steel grade is calculated, the scrap steel grade of the vehicle will be stored in the scrap steel material inspection database through S07.

[0045] Output interface SM07: After S07, the scrap steel grade of the vehicle will be stored in the scrap steel material inspection database SM06. The data of the above links can be provided with an output interface and provided to the enterprise inspection and testing platform to support the integrity quality inspection of scrap steel.

[0046] To achieve the above object, the present invention also provides a scrap steel inspection and acceptance processing system suitable for the steel industry, such as Figure 4 As shown, the system is applied to the scrap steel inspection and acceptance processing method applicable to the steel industry, and the system includes: A first data generating unit is used to generate and obtain first data corresponding to the scrap steel to be inspected and accepted, and transmit the first data in real time; wherein the first data is basic parameter data of the scrap steel; A data analysis and processing unit, used to analyze and process the first data, generate second data corresponding to the first data, and verify and process the second data in real time; wherein the second data is the first data after analysis and verification; The data creation and generation unit is used to create a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generate third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein the third data is scrap steel quality grade data.

[0047] The basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

[0048] The data analysis processing unit further includes: A first data generation module is used to generate and obtain formula data corresponding to the scrap steel to be inspected and accepted, and to parse and process the first data in real time according to the formula data; The second data generating module is used to calculate and generate fourth data corresponding to the scrap steel to be inspected and accepted according to the formula data; wherein the fourth data is the grade data of the scrap steel.

[0049] The data creation generation unit further includes: The first determination module is used to determine in real time whether the scrap steel material quality inspection and rating model is successfully created based on the scrap steel grade data and the formula data corresponding to the scrap steel to be inspected and accepted; The third data generation module is used to generate and issue a control instruction for the scrap steel acceptance rating model.

[0050] The data creation generation unit further includes: The visualization display module is used to visualize the third data and store the third data in real time.

[0051] In the system solution embodiment of the present invention, the method steps involved in the inspection and acceptance of scrap steel applicable to the steel industry have been described above in detail, that is, the functional modules in the system are used to implement the steps or sub-steps in the above method embodiment, which will not be repeated here.

[0052] The present invention generates and obtains first data corresponding to the scrap steel to be inspected and accepted through a method, and transmits the first data in real time; wherein, the first data is the basic parameter data of the scrap steel; parses and processes the first data, and generates second data corresponding to the first data, and verifies and processes the second data in real time; wherein, the second data is the data after parsing and verifying the first data; creates a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generates third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein, the third data is the scrap steel quality grade data, and a system corresponding to the method can improve the accuracy of quality inspection and rating, reduce human intervention, and reduce the influence of subjective factors on quality inspection and rating results.

[0053] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for inspection and acceptance of scrap steel applicable to the steel industry, characterized in that: The method comprises the steps of: Generate and obtain first data corresponding to the scrap steel to be inspected and accepted, and transmit the first data in real time; wherein the first data is basic parameter data of the scrap steel; Parsing and processing the first data, and generating second data corresponding to the first data, and verifying and processing the second data in real time; wherein the second data is the data after parsing and verifying the first data; A scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted is created, and third data corresponding to the scrap steel to be inspected and accepted is generated based on the model; wherein the third data is scrap steel quality grade data.

2. A method for inspection and acceptance of scrap steel applicable to the steel industry according to claim 1, characterized in that: The basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

3. A method for inspection and acceptance of scrap steel applicable to the steel industry according to claim 1, characterized in that: The parsing and processing of the first data, generating second data corresponding to the first data, and verifying and processing the second data in real time also includes: Generate and obtain formula data corresponding to the scrap steel to be inspected and accepted, and parse and process the first data in real time according to the formula data; According to the formula data, fourth data corresponding to the scrap steel to be inspected and accepted is calculated and generated; wherein the fourth data is the grade data of the scrap steel.

4. A method for inspection and acceptance of scrap steel applicable to the steel industry according to claim 1, characterized in that: The step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: According to the grade data of scrap steel and combined with the formula data corresponding to the scrap steel to be inspected and accepted; determine in real time whether the scrap steel material quality inspection and rating model has been successfully created; Generate and issue control instructions for scrap steel acceptance rating model.

5. A method for inspection and acceptance of scrap steel applicable to the steel industry according to claim 1 or 4, characterized in that: The step of creating a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generating third data corresponding to the scrap steel to be inspected and accepted based on the model, further includes: The third data is displayed visually and stored in real time.

6. A scrap steel inspection and acceptance processing system suitable for the steel industry, characterized in that: The system is applied to the scrap steel inspection and acceptance processing method applicable to the steel industry as claimed in any one of claims 1 to 5, and the system comprises: A first data generating unit is used to generate and obtain first data corresponding to the scrap steel to be inspected and accepted, and transmit the first data in real time; wherein the first data is basic parameter data of the scrap steel; A data analysis and processing unit, used to analyze and process the first data, generate second data corresponding to the first data, and verify and process the second data in real time; wherein the second data is the first data after analysis and verification; The data creation and generation unit is used to create a scrap steel material quality inspection and rating model corresponding to the scrap steel to be inspected and accepted, and generate third data corresponding to the scrap steel to be inspected and accepted based on the model; wherein the third data is scrap steel quality grade data.

7. A scrap steel inspection and acceptance processing system suitable for the steel industry according to claim 6, characterized in that: The basic parameter data of scrap steel include: net weight data of the vehicle, briquette density data, briquette length data, briquette width data, briquette height data, peeling and weighing impurity data, impurity content data, oversize unqualified quantity data, unqualified quantity data, moisture deduction data and other deduction data.

8. A scrap steel inspection and acceptance processing system suitable for the steel industry according to claim 6, characterized in that: The data analysis processing unit further includes: A first data generation module is used to generate and obtain formula data corresponding to the scrap steel to be inspected and accepted, and to parse and process the first data in real time according to the formula data; The second data generating module is used to calculate and generate fourth data corresponding to the scrap steel to be inspected and accepted according to the formula data; wherein the fourth data is the grade data of the scrap steel.

9. A scrap steel inspection and acceptance processing system suitable for the steel industry according to claim 6, characterized in that: The data creation generation unit further includes: The first determination module is used to determine in real time whether the scrap steel material quality inspection and rating model is successfully created based on the scrap steel grade data and the formula data corresponding to the scrap steel to be inspected and accepted; The third data generation module is used to generate and issue a control instruction for the scrap steel acceptance rating model.

10. A scrap steel inspection and acceptance processing system suitable for the steel industry according to claim 6 or 9, characterized in that: The data creation generation unit further includes: The visualization display module is used to visualize the third data and store the third data in real time.

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