A method of tracking steel sample testing time

Abstract

The present application belongs to the technical field of metallurgical quality detection, and relates to a method for tracking steel sample detection time, comprising the following steps: S1, recording sample information in the sample detection process, including sample type, sample code, order arrival time, sample sending time and sample arrival time; S2, printing a sample label through a label printer and sticking the label on the sample; S3, sending the sample to a preparation station for sample preparation; S4, scanning a two-dimensional code at the sample code column of a direct-reading spectrometer to input the sample code; and S5, displaying sample composition data and sample analysis time. According to the present application, the detection time of each sample is dynamically and real-timely displayed in the detection and analysis system of the steel sample, so that the problem that the operation personnel cannot intuitively understand the detection time and cannot timely and accurately fill in the reason for exceeding the detection time is solved, thereby avoiding the situation that the detection result is affected by untimely information transmission and it is difficult to trace the failure reason.

Description

Technical Field

[0001] This invention belongs to the field of metallurgical quality testing technology and relates to a method for tracking the testing time of steel samples. Background Technology

[0002] Currently, steel sample testing in the steel industry requires rapid and stable testing times. The current testing process is as follows: the steel plant sends a sample request, then the sample is sent to the testing area for preparation. After preparation, the sample is analyzed using a direct-reading spectrometer, the test data is uploaded to the testing and analysis system, and finally reviewed and sent to the steel plant.

[0003] However, in actual testing operations, the frequency of sample arrivals is high and the testing pace is fast. Operators cannot know the testing time for each sample, nor do they know whether the testing time requirement has been exceeded. Furthermore, the reasons for exceeding the testing time cannot be filled in in a timely manner, and are mostly filled in afterward. The explanation of the reason is only stored locally in the testing system and is statistically analyzed as an influencing factor for not meeting the testing time requirement. This leads to situations such as unqualified sample shape, poor sample quality, and incorrect sample application, which prevent testing or cause long testing times. In addition, information such as unqualified sample images cannot be fed back to the sample delivery station from the system in a timely and effective manner. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method for tracking the testing time of steel samples, so that the testing time of each sample is dynamically displayed in real time in the steel sample analysis system, solving the problem that operators cannot intuitively understand the testing time and cannot fill in the reasons for exceeding the testing time in a timely and accurate manner, thereby avoiding the situation where the testing results are affected by the untimely transmission of information and the reasons for failure are difficult to trace.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for tracking the testing time of steel samples includes the following steps:

[0007] S1. Record the sample information during the sample testing process, including sample type, sample code, commission arrival time, sample sending time, and sample arrival time.

[0008] S2. Print a sample label using a label printer and affix the label to the sample. The sample label contains sample information.

[0009] S3. Send the sample to the preparation station for sample preparation;

[0010] S4. Scan the QR code in the sample code field of the direct-reading spectrometer to enter the sample code;

[0011] S5. Display sample composition data and sample analysis time, wherein the sample analysis time is the difference between the current time and the sample arrival time.

[0012] Furthermore, it also includes S401, which allows the sample code to be entered via keyboard when the QR code scan fails.

[0013] Furthermore, it also includes S501, tracing the cause of abnormality based on sample information.

[0014] Furthermore, if the sample analysis time exceeds the first time threshold, the cause of the anomaly is determined to be multiple analyses.

[0015] Furthermore, if the interval between the sample sending time and the sample arrival time is greater than the second time threshold, the cause of the anomaly is determined to be a malfunction of the sample sending equipment.

[0016] Furthermore, it also includes S6, which generates a timely testing rate report for the requesting unit within the selected time period, based on the start and end times and the requesting unit. The timely testing rate report includes statistical quantities, the number of compliant indicators, the proportion of compliant indicators, the number of non-compliant indicators, the reasons for non-compliant indicators, and the proportion of each reason for non-compliant indicators to the total number of reasons for non-compliant indicators. The timely testing rate report clearly shows the timely testing rate of samples from the requesting unit (the unit requesting quality inspection) within the selected time period, thus facilitating subsequent adjustments to the testing process and reducing the likelihood of untimely testing due to the same problem, thereby improving the timely testing rate.

[0017] The beneficial effects of this invention are as follows:

[0018] This invention solves the problems that operators cannot intuitively understand the detection time and cannot fill in the reasons for exceeding the detection time in a timely and accurate manner. The system automatically generates a detection timeliness report, which can transmit information in a timely manner, thereby avoiding the inability to judge the cause of the problem in the detection result due to the untimely transmission of information, which facilitates subsequent adjustment and reduces the situation where multiple detection results are abnormal due to the same reason.

[0019] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0020] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein:

[0021] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention. Detailed Implementation

[0022] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0023] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0024] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0025] Please see Figure 1 A method for tracking the testing time of steel samples includes the following steps:

[0026] S1. Record sample information during the sample testing process. This sample information includes sample type, sample code, arrival time of the request, sample dispatch time, and sample arrival time. Specifically, this includes recording the request information from the requesting unit's quality inspection request, including the steel sample type, testing items, request time, and request number. Based on this information, a portion of the sample information is obtained. For example, the sample type is determined by sampling based on the steel sample type; the sample code is automatically generated based on the request number and testing items; and the arrival time of the request is obtained based on the request time. All of this information can be directly obtained using existing methods and equipment, and is considered prior art, so it will not be elaborated further. As an improvement to this solution, during the testing process, devices such as cameras, infrared detection equipment, and speed sensors are installed at various workstations to monitor the time of the sample leaving or arriving at the workstation, thereby obtaining the sample dispatch time and sample arrival time. These data are then recorded and saved, and simultaneously uploaded to the system platform for real-time viewing.

[0027] S2. Print a sample label using a label printer and affix the label to the sample. The sample label contains sample information.

[0028] S3. The sample is sent to the preparation station for sample preparation using a pneumatic sample delivery device.

[0029] S4. Scan the QR code in the sample code field of the direct-reading spectrometer to enter the sample code;

[0030] S401. When the QR code scan fails, the sample code is entered via the keyboard.

[0031] S5. Display sample composition data and sample analysis time, wherein the sample analysis time is the difference between the current time and the sample arrival time.

[0032] S501. Based on sample information, trace the cause of detection anomalies. When the sample analysis time exceeds a preset time threshold, this includes abnormal detection time and abnormal detection results. For example, the proportion of steelmaking converter samples, CAS samples, LF samples, and RH samples whose detection time is less than the preset time threshold exceeds a certain specific value; the detection time is the time from sample air-pumped delivery to the time when the sample detection data is reviewed and sent. Export the monthly basic data statistics of all analysis progress to determine the proportion of times the detection time exceeds the preset time threshold and judge the reasons for the impact of the detection time exceeding the preset time threshold. Specifically, when the sample analysis time exceeds the first time threshold, the cause of the anomaly is judged to be multiple analyses; when the interval between sample delivery time and sample arrival time exceeds the second time threshold, the cause of the anomaly is judged to be a sample delivery equipment malfunction. The first and second time thresholds are the corresponding times under normal detection conditions plus a 10% error correction, that is, when the actual time interval is greater than 10% of the time interval under normal conditions, it is considered an anomaly.

[0033] Among these, the causes of anomalies correspond to certain data in the sample information. For example, if the anomaly is due to severe defects in the sample surface quality, preventing sample preparation and the submission of compositional data, the sample information is "sample unqualified"; if the anomaly is due to poor surface or internal quality, requiring multiple sample preparations for analysis and resulting in long analysis times, the sample information is "multiple sample preparations"; if the anomaly is due to the sample code not being generated in the system or the sample code not matching the actual sample, the sample information is "sample number incorrect"; if the anomaly is due to large fluctuations in sample analysis data or compositional data not meeting steel grade requirements, necessitating further analysis and verification, the sample information is "abnormal results, multiple analyses"; if the anomaly is due to network failure preventing timely transmission of compositional data, requiring data retransmission or manual entry after fault repair, the sample information is "network failure"; if the anomaly is due to a malfunction in the pneumatic sample delivery system, preventing normal sample transmission, requiring sample transmission after fault repair or from a backup pneumatic delivery station, the sample information is "multiple sample preparations"; and if the anomaly is due to a malfunction in laboratory sample preparation or analysis equipment causing analysis time delays, the sample information is "equipment failure". By analyzing the sample information, the cause of the anomaly can be deduced from the corresponding relationships. Although the specific relationships are not one-to-one, a comprehensive judgment can be made by combining other sample information. For example, the statistics of the pneumatic operation time of each workstation can be used as a basis for the maintenance, repair and fault diagnosis of pneumatic equipment. The arrival time of the commission, the sample sending time, the sample arrival time, the data acquisition data and the data sending data can be used to determine whether there are problems such as multiple sample preparation, multiple analysis and network failure, and to determine whether the abnormal test results are caused by the failure of the pneumatic system and the failure of the testing equipment.

[0034] S6. Generate a timely testing rate report for the requesting unit within the selected time period, based on the start and end times. The timely testing rate report includes the statistical quantity, the number of compliant indicators, the proportion of compliant indicators, the number of non-compliant indicators, the reasons for non-compliant indicators, and the proportion of each reason for non-compliant indicators to the total number of reasons for non-compliant indicators. The timely testing rate report clearly shows the timely testing rate of samples from the requesting unit (the unit requesting quality inspection) within the selected time period, facilitating subsequent adjustments to the testing process and reducing the likelihood of untimely testing due to the same problem, thereby improving the timely testing rate.

[0035] In this embodiment, the equipment used in the detection process includes a pneumatic sample delivery device, a sample preparation device, and analytical equipment. The transmission and recording of sample information during the process are completed through the sensors and other sensing elements built into each device, as well as data transmission lines such as communication cables, eliminating the need for additional equipment. The pneumatic sample delivery device is a QRG76 model; the sample preparation equipment includes a milling machine MLF-MIL-TMS model, a milling machine M2-Y model, and a sample preparation device TM-350S model; the analytical equipment includes a direct-reading spectrometer QSG750 model, a direct-reading spectrometer Q8 model, an X-ray fluorescence analyzer MXF-2400 model, and an X-ray fluorescence analyzer ARL9900 model.

[0036] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for tracking the testing time of steel samples, characterized in that, Includes the following steps: S1. Record the sample information during the sample testing process. The sample information includes sample type, sample code, commission arrival time, sample sending time, and sample arrival time. S2. Print a sample label using a label printer and affix the label to the sample. The sample label contains sample information. S3. Send the sample to the preparation station for sample preparation; S4. Scan the QR code in the sample code field of the direct-reading spectrometer to enter the sample code; S5. Display sample composition data and sample analysis time, wherein the sample analysis time is the difference between the current time and the sample arrival time; It also includes S501, tracing the cause of abnormality based on sample information; If the sample analysis time exceeds the first time threshold, the cause of the abnormality is determined to be multiple analyses. If the interval between the sample sending time and the sample arrival time is greater than the second time threshold, the cause of the abnormality is determined to be a malfunction of the sample sending equipment. The causes of anomalies correspond to the data information in the sample information, including: if the sample information indicates that the sample is unqualified, the cause of the anomaly is determined to be a defect in the surface quality of the sample; if the sample information indicates multiple sample preparations, the cause of the anomaly is determined to be poor surface or internal quality of the sample; if the sample information indicates an incorrect sample number, the cause of the anomaly is determined to be that the sample code was not generated in the system or that the sample code is inconsistent with the actual sample; if the sample information indicates multiple analyses of abnormal results, the cause of the anomaly is determined to be large fluctuations in the sample analysis data or that the composition data does not meet the requirements of the steel grade; if the sample information indicates a network failure, the cause of the anomaly is determined to be that the network failure prevents the timely transmission of composition data; if the sample information indicates multiple sample preparations, the cause of the anomaly is determined to be a failure of the pneumatic sample delivery system; if the sample information indicates an equipment failure, the cause of the anomaly is determined to be a delay in analysis time caused by a failure of the laboratory sample preparation equipment or analysis equipment.

2. The method for tracking the detection time of a steel sample according to claim 1, characterized in that: It also includes S401, which allows the sample code to be entered via keyboard when the QR code scan fails.

3. The method for tracking the detection time of a steel sample according to claim 1, characterized in that: It also includes S6, which generates a report on the timely detection rate of a unit within the selected time period, based on the start and end times and the unit requesting the inspection.

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