Neutron generator-based scrap steel briquette component online detection device and method

Abstract

The invention relates to the technical field of steel smelting scrap steel briquette treatment, and particularly provides a neutron generator-based scrap steel briquette component online detection device and method. Neutrons generated through nuclear reaction of a neutron generator are absorbed and activated with elements such as Fe in the scrap steel, gamma rays with characteristic energy are emitted, then the energy intensity of the gamma rays is observed, contrasted and calibrated from the response of a detector, and therefore the content composition and the content proportion of all the elements, mainly the Fe element, in the scrap steel briquette are calculated, analyzed and determined. The device effectively avoids the low-quality employment risk in the detection of the scrap steel briquettes, solves the problems that the detection of the internal quality of the scrap steel briquettes is difficult, time-consuming and labor-consuming, remarkably improves the working efficiency and effect, and has remarkable economic benefits and popularization prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of steel smelting scrap steel briquetting processing, and specifically provides a device and method for online detection of scrap steel briquetting composition based on a neutron generator. Background Art

[0002] Scrap steel is a vital resource for the sustainable development of the steel industry, particularly as a crucial and essential raw material for electric furnace steelmaking. It also serves as the most effective coolant in converter steelmaking. To ensure the proper functioning of the steelmaking process and the quality of the finished steel, high-quality scrap steel must be added to the furnace; in other words, scrap steel must meet certain technical requirements before it can be used as raw material. This is because scrap steel often carries or is contaminated with impurities during the collection process, such as non-ferrous metals like zinc, aluminum, nickel, and copper from corrosion protection treatments. These metals, due to the high temperatures generated by the electric arc and the oxygen injection during the electric arc furnace steelmaking process, can cause the molten steel to boil, leading to the volatilization of environmentally hazardous elements such as zinc, lead, and cadmium. For example, scrap iron collected from the public often contains, in addition to its own impurities, organic matter such as plastics and grease. Shipbreaking scrap and automobile scrap often have a thick coating of paint on their surfaces. These organic compounds, exposed to temperatures exceeding 1,000 degrees Celsius, will form toxic substances such as sulfur monoxide, nitrogen oxides, and carbon monoxide, which not only pollute the environment but also significantly increase steel defects. Therefore, before scrap iron is put into the furnace, it must undergo thorough sorting, cleaning, and other pre-processing to ensure that it meets the technical standards for different scrap iron raw materials. Metallurgical companies face two major challenges in scrap iron quality inspection: impurity detection and scrap iron grading.

[0003] Scrap handling methods vary depending on its material and shape. Fragile and irregularly shaped lumps are crushed with heavy hammers. Extra thick and long scrap is cut to the required size using a flame cutter. Larger scrap lumps are broken by explosives. Thick scrap plates, sections, and bars are sheared using shears. Light materials with low specific gravity, such as scrap sheet metal scraps, scrap wire, and scrap automobile hulls, are compressed into blocks using balers and bundled for use as raw material in steelmaking. Scrap produced by cutting is degreased and then briquette-pressed using a briquetting press. Scrap mixed with other metals is first crushed and then magnetically separated to separate the scrap. In recent years, new technologies have been developed that utilize liquid nitrogen at low temperatures of -50 to -100°C for crushing. However, the separation of scrap steel from non-ferrous metals and other impurities has not yet been fully resolved. The use of mixed scrap steel should be limited to a certain proportion to avoid compromising steel quality.

[0004] Scrap steel is typically processed mechanically, with common machines such as balers and cutters being used. Scrap steel is primarily used as an additive in long-process converters and as a primary feed in short-process electric furnaces.

[0005] The steel industry purchases enormous quantities of scrap steel. Accurately inspecting and classifying scrap steel is challenging due to its diverse elements and composition, complex sources, numerous types, varying shapes, and poor surface conditions. Traditional scrap steel inspection and grading relies primarily on visual inspection, caliper measurement, and judgment by supervisors at the manufacturer's technical center. This is subject to significant human error, complex procedures, and frequent quality disputes. Scrap steel quality inspection issues have long plagued steel companies. Existing grading methods rely primarily on visual inspection by quality inspectors, making them difficult to quantify and standardize. Scrap steel grading operates in a harsh environment, requiring inspectors to climb four or five meters onto the roofs of large trucks for close inspection of the scrap steel inside. This labor-intensive process results in low productivity and high operational risks.

[0006] Scrap steel briquettes generally refer to briquettes made of automotive panels, industrial components, and rebar. To prevent defective or adulterated scrap steel briquettes from entering the factory, random inspections are performed to confirm compliance with standards. However, existing inspection methods have drawbacks. Existing methods typically rely on manual verification of information, handwritten receipts, and photographic recordings. The results are then manually entered into the quality control system and reported. This time-consuming and labor-intensive process compromises inspection efficiency and is prone to errors. In particular, when handling abnormalities, on-site inspectors must first photograph the goods, notify the relevant authorities of the results by phone or WeChat, and then issue a paper-based quality objection handling report. This cumbersome process is prone to document processing delays, time-consuming data storage, and data distortion caused by manual transmission. Therefore, online detection and automated grading of scrap steel components have been a long-standing challenge for the scrap steel industry.

[0007] Currently, the intelligent scrap grading system primarily uses high-definition cameras to take real-time images of scrap steel. It then employs deep learning algorithms to accurately identify scrap grade, material type, hazardous materials, and inclusions from these high-definition images. This enables intelligent scrap grading, impurity removal, and hazardous material warnings. Through continuous iterative development, the technical roadmap for the intelligent scrap grading system has been gradually established. This roadmap provides a detailed breakdown and process linkage between the software system, grading rule model, deep learning model, image acquisition, and hardware network. Through standardized image acquisition, optimized AI algorithm models, and configurable grading rules, the intelligent scrap grading system sets a benchmark for intelligent scrap grading for steel companies. This roadmap can rapidly achieve an accuracy rate exceeding 95% for intelligent scrap grading.

[0008] The existing scrap steel briquette inspection method generally involves unpacking and inspecting the internal quality of the scrap steel briquette. Determining the unpacked briquette is the core link of the inspection. However, the current briquette sampling inspection is done by quality inspectors who manually select samples, which poses a great risk to professional integrity. In addition, it is restricted by many conditions within the factory. The briquette unpacking inspection is carried out in a "unpacking first and then disassembling" manner, which is not only time-consuming and labor-intensive, but also difficult to trace if quality problems are found during the unpacking inspection or use process.

[0009] Scrap steel is a vital raw material for the steel industry, and the accuracy of its composition testing directly impacts steelmaking quality. Traditional scrap steel briquette testing relies on manual unpacking and inspection, which has the following drawbacks: low efficiency: labor-intensive, high-altitude manual labor is required, and the sampling inspection process is cumbersome; low accuracy: visual identification relies on a lack of quantitative standards, and grading results are susceptible to human influence; high safety risks: the unpacking process poses risks to professional integrity and makes quality issues difficult to trace; and environmental issues: waste generated by unpacking increases processing costs, which does not meet green production requirements.

[0010] While existing intelligent scrap steel grading systems incorporate image recognition technology, they can only detect external features and are unable to penetrate the interior of compressed steel briquettes to analyze their elemental composition. Neutron generator technology, while widely used in nuclear physics, has yet to be effectively applied to online compositional analysis of scrap steel briquettes.

[0011] Traditional detection methods cannot meet the needs of rapid detection of the internal composition of scrap steel briquettes. There is an urgent need for a non-contact, high-precision online detection solution to achieve quantitative analysis of elemental composition and automatic grading. Summary of the Invention

[0012] The purpose of the present invention is to provide an online detection device and method for the composition of scrap steel briquettes based on a neutron generator. Through neutron activation analysis technology, the rapid detection, quantitative analysis and automatic grading of the elemental composition inside the scrap steel briquettes can be achieved, thereby solving the problems of low efficiency, poor accuracy and high safety risks of manual detection in the existing technology.

[0013] In order to achieve the above object, the present invention adopts the following technical solutions:

[0014] An online detection device for scrap steel briquette composition based on a neutron generator, the online detection device comprising a mechanical support system and a detection system:

[0015] The mechanical support system comprises:

[0016] Columns, used to provide overall support;

[0017] Column fixings, connecting the column to the ground or installation foundation;

[0018] The crossbeam fixing piece is provided at the top of the column and is used to fix the crossbeam;

[0019] A crossbeam rotating bearing and a crossbeam rotating motor, wherein the crossbeam rotating bearing is installed between the crossbeam fixing member and the crossbeam, and the crossbeam rotating motor is in transmission connection with the crossbeam and is used to drive the crossbeam to rotate around the crossbeam rotating bearing;

[0020] The beam running guide rail is set along the length direction of the beam;

[0021] The running trolley body is slidably mounted on the beam running guide rail through wheels;

[0022] A lifting motor and a lifting pulley set, wherein the lifting motor is provided on the running trolley body and connected to the support plate through the lifting pulley set;

[0023] The running motor is installed on the running trolley body and is used to drive the wheels to move along the beam running guide rail;

[0024] Crossbeam reinforcement, connecting the crossbeam and the column to enhance structural stability;

[0025] A support column, a fixing plate and a support plate, wherein the bottom end of the support column is fixed to the detection system, and the top end is connected to the support plate through the fixing plate;

[0026] A detection system rotating motor and a detection system rotating bearing, wherein the detection system rotating bearing is arranged between the support column and the support plate, and the detection system rotating motor is arranged on the fixed plate, and the detection system rotating motor drives the support column to rotate through the detection system bearing;

[0027] The detection system comprises:

[0028] A detection shielding room, the top of which is connected to the bottom of the support column, for isolating external interference and providing a detection space;

[0029] A neutron generator is located in the detection shielding room and is used to generate a neutron beam;

[0030] The detector is arranged in the detection shielding room and is used to receive the detection signal;

[0031] The power supply and control system is electrically connected to the neutron generator, detector and motors in the mechanical support system to provide power and control the operation of each component.

[0032] Preferably, the beam rotating motor is connected to the beam via gear transmission or belt transmission.

[0033] Preferably, the lifting pulley group includes a fixed pulley and a movable pulley, and the lifting motor drives the movable pulley to rise and fall through a steel wire rope.

[0034] Preferably, the column is a multi-section telescopic structure, and height adjustment is achieved through bolts or a hydraulic mechanism.

[0035] Preferably, the inner wall of the detection shielding chamber is provided with neutron absorbing material to reduce radiation leakage.

[0036] Preferably, the power supply and control system includes a programmable logic controller for realizing automated detection process control.

[0037] Furthermore, the online detection device also includes a monitoring and analysis system, which integrates a data acquisition module, an energy spectrum processing module, a data analysis module, a remote monitoring module, and a database management module, and realizes automated detection and data management based on the spectrum library least squares method and calibration function.

[0038] The present invention realizes three-dimensional spatial motion (beam rotation, trolley translation, and lifting and lowering of the lifting pulley group) through the mechanical structure of "column-beam-traveling trolley". Combined with the detection shielding room, neutron generator and detector, it forms a complete detection system, which is suitable for detection scenarios that require precise positioning and radiation shielding (such as industrial non-destructive testing, material analysis, etc.).

[0039] The present invention also provides an online detection method for the composition of scrap steel briquette based on the above device, comprising the following steps:

[0040] 1) Use a mechanical system to position the detection shielding room above the scrap steel briquette to be inspected;

[0041] 2) Start the neutron generator to generate a neutron beam, bombard the scrap steel briquette to trigger a nuclear reaction and release characteristic gamma rays;

[0042] 3) Gamma-ray spectrum data is collected through the detector, and after the spectrum is solved by the least squares method of the spectrum library, the element content ratio is calculated by comparing it with the standard database.

[0043] The online detection of scrap steel briquette composition of the present invention is to generate a neutron source in an analyzer by accelerating deuterium gas bombardment to induce a thermonuclear reaction, and the neutron source emits fast neutrons, which are slowed down to form thermal neutrons. The thermal neutrons irradiate the material, and the various element nuclei in the scrap steel absorb the neutrons and undergo thermal neutron capture reactions with the atomic nuclei of the various elements in the scrap steel (neutron absorption, thus neutron activation). After neutron activation, characteristic gamma rays of different energies and intensities are emitted. The energy of the characteristic gamma rays is detected by a receiver to identify the type of elements in the material, and the content ratio of each element is obtained after analyzing the intensity of the gamma rays of specific energy.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. Non-contact detection: It can penetrate the interior of the compact without unpacking, avoiding the integrity risks and efficiency loss caused by manual intervention;

[0046] 2. High-precision quantitative analysis: Through neutron activation and gamma-ray spectrum analysis, accurate identification and content calculation of elemental components are achieved;

[0047] 3. Automated operation: The three-dimensional positioning mechanism is combined with the PLC control system to greatly improve detection efficiency and reduce labor intensity;

[0048] 4. Safe and controllable: The detection shield room and neutron generator are designed to shut down the reactor upon power failure to ensure radiation safety;

[0049] 5. Data traceability: test results are stored in real time, supporting historical data query and quality traceability. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a structural diagram of an online detection device for the composition of scrap steel briquette.

[0051] Figure 2 It is a schematic diagram of neutron activation element analysis;

[0052] Reference numerals:

[0053] 1-1 is the column; 1-2 is the column fixation; 1-3 is the crossbeam fixation; 1-4 is the crossbeam rotation bearing; 1-5 is the crossbeam rotation motor; 1-6 is the crossbeam running guide rail; 1-7 is the crossbeam; 1-8 is the crossbeam reinforcement; 1-9 is the running trolley body; 1-10 is the wheel; 1-11 is the lifting motor; 1-12 is the running motor; 1-13 is the lifting pulley set; 1-14 is the detection system rotation motor, 1-15 is the support column, 1-16 is the fixed plate; 1-17 is the support plate; 1-18 is the detection system rotation bearing; 2-1 is the detection shielding room, 2-2 is the neutron generator; 2-3 is the power supply and control system; 2-4 is the detector. DETAILED DESCRIPTION

[0054] The technical solution of the present invention is described in detail below with reference to the accompanying drawings and embodiments.

[0055] Example 1

[0056] like Figure 1 As shown, an online detection device for scrap steel briquette composition based on a neutron generator is provided. The detection device includes a mechanical support system, a detection system, and a monitoring and analysis system. The components and functions of each system are as follows:

[0057] Mechanical support system:

[0058] Column 1-1, used to provide overall support;

[0059] Column fixing member 1-2, connecting column 1-1 and the ground or installation foundation;

[0060] The crossbeam fixing member 1-3 is provided at the top of the column 1-1 and is used to fix the crossbeam 1-7;

[0061] A crossbeam rotating bearing 1-4 and a crossbeam rotating motor 1-5, wherein the crossbeam rotating bearing 1-4 is installed between the crossbeam fixing member 1-3 and the crossbeam 1-7, and the crossbeam rotating motor 1-5 is in transmission connection with the crossbeam 1-7 and is used to drive the crossbeam 1-7 to rotate around the crossbeam rotating bearing 1-4;

[0062] The crossbeam running guide rail 1-6 is arranged along the length direction of the crossbeam 1-7;

[0063] The running trolley body 1-9 is slidably mounted on the beam running guide rail 1-6 through the wheels 1-10;

[0064] A lifting motor 1-11 and a lifting pulley set 1-13, wherein the lifting motor 1-11 is provided on the running trolley body 1-9 and is connected to the support plate 1-17 via the lifting pulley set 1-13;

[0065] The running motor 1-12 is provided on the running trolley body 1-9 and is used to drive the wheel 1-10 to move along the crossbeam running guide rail 1-6;

[0066] A crossbeam reinforcement 1-8 connects the crossbeam 1-7 and the column 1-1 to enhance structural stability;

[0067] Support column 1-15, fixed plate 1-16 and support plate 1-17, the bottom end of the support column 1-15 is fixed to the detection system, and the top end is connected to the support plate 1-17 through the fixed plate 1-16;

[0068] The detection system rotating motor 1-14 and the detection system rotating bearing 1-18, the detection system rotating bearing 1-18 is arranged between the support column 1-15 and the support plate 1-17, the detection system rotating motor 1-14 is arranged on the fixed plate 1-16, and the detection system rotating motor 1-14 drives the support column 1-15 to rotate through the detection system bearing 1-18 to ensure that the angle is consistent with the scrap steel briquetting;

[0069] Detection system:

[0070] Neutron generator 2-2: uses a DD neutron generator, which consists of a storage device, a high-voltage electrode, an ion source, an acceleration system, a vacuum system, and a target material. It generates a neutron beam by bombarding the target material with deuterium ions.

[0071] Detection shield room 2-1: The inner wall is covered with neutron absorbing material to isolate radiation and provide detection space;

[0072] Detector 2-4: uses BG scintillation detectors to collect characteristic gamma rays released by scrap steel briquettes after neutron irradiation;

[0073] Power supply and control system 2-3: Provides power to the neutron generator, detector and mechanical support system, and integrates a programmable logic controller (PLC) to achieve automated control.

[0074] The monitoring and analysis system includes:

[0075] Data acquisition module: receives the gamma-ray energy spectrum data transmitted by the detector;

[0076] Energy spectrum processing module: uses the least squares method of the spectrum library to solve the spectrum and compares it with the standard spectrum library to achieve element identification;

[0077] Data analysis module: calculates the element content ratio based on the calibration function and generates a test report;

[0078] Remote monitoring module: real-time monitoring of equipment operating status, detection location and radiation safety, triggering abnormal alarms;

[0079] Database management module: stores standard sample spectral response data and supports dynamic update and calibration.

[0080] The monitoring and analysis system is used for detection and identification, energy spectrum processing, data analysis, element content determination, remote monitoring, and data report generation. Remote monitoring is primarily used to monitor equipment operating status, sample detection location, and radiation zone alarms. The data report generation function is primarily used for test result aggregation and export, data statistics, etc.

[0081] The lifting pulley system consists of two main pulley groups: a fixed pulley group and a movable pulley group. The support plate, support column, fixed plate, detection system rotating motor, and detection system rotating bearings are combined to achieve angular rotation adjustment of the detection system, ensuring consistent angles between the detection shielding room and the scrap steel briquette. The horizontal beam movement and positioning are achieved through the movement of the crossbeam trolley; the vertical movement and positioning of the detection system are achieved through the lifting pulley group.

[0082] Neutron Generator 2-2 uses a DD neutron generator, consisting of a reservoir, high-voltage electrodes, an ion source, an acceleration system, a vacuum system, and a target. After deuterium gas is released from the reservoir, it is ionized by the ion source, ejecting deuterium ions. The acceleration system draws these deuterium ions from the ion source, forming an accelerated beam that bombards the target, where they undergo DD nuclear reactions with deuterium atoms in the target to produce neutrons. Neutrons produced by the neutron generator are absorbed by the surrounding detection medium and then emit gamma rays with characteristic energy. The energy of the gamma rays is then observed in the detector response to determine the elemental composition of the surrounding environment.

[0083] Once the DD neutron generator is powered off, it no longer generates ions or undergoes nuclear reactions. Furthermore, the addition of a shielded detection room ensures low operational risk and safe operation. Furthermore, the neutron source does not need to be regularly replenished, resulting in relatively low operating costs.

[0084] An online detection method for scrap steel briquette composition based on a neutron generator, the steps are as follows:

[0085] 1. Positioning stage:

[0086] After unloading, the scrap steel briquettes are placed in a single layer in the inspection area;

[0087] By rotating the crossbeam, moving the trolley, lifting and lowering, and adjusting the angle, the detection shielding room can accurately cover the pressure block to be inspected.

[0088] 2. Detection stage:

[0089] Start the neutron generator, deuterium ions bombard the target to produce neutrons, which react with the elements in the scrap steel briquette to release characteristic gamma rays;

[0090] The detector collects gamma-ray energy spectrum data and transmits it to the monitoring and analysis system.

[0091] 3. Analysis phase:

[0092] The system uses the least squares method to solve the spectrum and compares it with the standard database to determine the element type;

[0093] The element content ratio, such as Fe element content, is calculated according to the calibration function, and a test report is generated and stored.

[0094] 4. Cyclic operation: After the test is completed, the device is reset and the above process is repeated for the next pressing block.

[0095] The present invention needs to first collect and process the spectral responses of the elements to be detected in samples with different scrap steel compositions and establish a database.

[0096] Measurement of sample characteristic γ-rays: The detectors used for measuring sample characteristic γ-rays include high-purity germanium detectors, NaI (Tl) scintillation detectors, BG scintillation detectors, etc. The BG scintillation detector is used in the present invention.

[0097] Characteristic energy gamma ray spectrum interpretation: According to the difference in the physical processes of delayed gamma ray neutron activation analysis and prompt gamma ray neutron activation analysis, commonly used spectrum interpretation methods include absolute measurement method, relative measurement method, single comparator k0 method and spectrum library least squares method. The spectrum library least squares method is adopted in the present invention.

[0098] like Figure 2 As shown, the measurement principle of the present invention is:

[0099] A neutron generator, also known as a neutron tube, is a device capable of producing neutrons. It primarily comprises a metal deuteride vacuum arc ion source, beam optics, and a tritium target. Its basic principle is to utilize various charged particle accelerators to generate and accelerate certain particles, such as protons and deuterium, which are then used to bombard target atomic nuclei, thereby initiating nuclear reactions and producing neutrons. Based on the vacuum arc discharge principle, the ion source produces a variety of ions, including metal ions of various valence states and deuterium ions. These charged particle accelerators and their associated equipment together constitute a neutron generator system, which offers advantages such as high neutron energy, good monochromaticity, and stable and controllable yield. In the present invention, neutrons react with elements such as Fe in scrap steel to produce radioactive nuclides. The decay of these radionuclides is measured to produce characteristic gamma rays, which exhibit a linear relationship between the number of characteristic gamma rays and the elemental content. By neutron irradiation and measuring a set of standard samples with known elemental content, a calibration function can be obtained that correlates the elemental content with the characteristic gamma ray count. For a sample with unknown element content, the Fe content in the sample can be calculated based on the calibration function by neutron irradiation and measuring the characteristic gamma ray counts it produces.

[0100] The specific detection steps of the above-mentioned online detection method of the present invention are:

[0101] 1. After unloading, the scrap steel briquettes are placed in a single layer next to the testing equipment at the testing site;

[0102] 2. Carry out random inspection or full inspection according to the inspection requirements and select the target briquettes for inspection;

[0103] 3. Start the beam rotation to realize the horizontal movement and positioning of the beam;

[0104] 4. The movement and positioning of the beam direction are achieved through the movement of the beam running trolley;

[0105] 5. The vertical movement and positioning of the detection system are achieved through the lifting pulley;

[0106] 6. Through the angle rotation adjustment of the detection system, the angle consistency between the detection shielding room and the scrap steel briquette is achieved. The scrap steel briquette to be detected is covered in the detection shielding room;

[0107] 7. Turn on the control power supply. The deuterium ions ionized by the deuterium gas in the neutron generator accelerate to bombard the target and react with the deuterium atoms in the target to generate neutrons. The neutrons react with the elements in the scrap steel briquette to produce their own characteristic gamma rays.

[0108] 8. The detector measures each characteristic gamma ray.

[0109] 9. The monitoring and analysis system first uses the least square method of the spectrum library to perform spectrum analysis and energy spectrum processing, and then performs comparative analysis with the energy spectrum curve based on the calibration function in the database to determine the content of each element. Generally, only the Fe element content is detected.

[0110] 10. After the test is completed, lift the test system using the lifting pulley.

[0111] 11. Start locating and detecting the position of the second scrap steel briquette, and repeat the process in a cycle as required.

[0112] The present invention utilizes a neutron generator to generate neutrons through nuclear reactions, which absorb and activate elements such as Fe in the scrap steel, emitting gamma rays with characteristic energy. The energy of the gamma rays is then observed and calibrated against the detector's response to calculate and analyze the composition and proportion of the various elements, primarily Fe, in the scrap steel briquettes. This effectively mitigates the risks of corrupt practices inherent in scrap steel briquette testing, addresses the difficulty, time-consuming nature, and labor-intensive nature of scrap steel briquette internal quality testing, and significantly improves work efficiency and effectiveness, offering significant economic benefits and promising prospects for widespread adoption.

[0113] The process parameters of the present invention, such as temperature, time, etc., can all be used to implement this method, and the embodiments are not listed here one by one.

[0114] Any content not described in detail in the present invention can be based on conventional technical knowledge in the art.

[0115] Finally, it should be noted that the above embodiments are intended only to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions to the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention and are intended to be encompassed by the claims of the present invention.

Claims

1. An online detection device for scrap steel briquette composition based on a neutron generator, characterized in that: The online detection device includes a mechanical support system and a detection system: The mechanical support system comprises: Column (1-1), used to provide overall support; A column fixing member (1-2) connects the column (1-1) to the ground or the installation foundation; A crossbeam fixing member (1-3) is provided at the top of the column (1-1) and is used to fix the crossbeam (1-7); A crossbeam rotating bearing (1-4) and a crossbeam rotating motor (1-5), wherein the crossbeam rotating bearing (1-4) is installed between the crossbeam fixing member (1-3) and the crossbeam (1-7), and the crossbeam rotating motor (1-5) is in transmission connection with the crossbeam (1-7) and is used to drive the crossbeam (1-7) to rotate around the crossbeam rotating bearing (1-4); The crossbeam running guide rail (1-6) is arranged along the length direction of the crossbeam (1-7); The running trolley body (1-9) is slidably mounted on the beam running guide rail (1-6) via wheels (1-10); A lifting motor (1-11) and a lifting pulley group (1-13), wherein the lifting motor (1-11) is arranged on the running trolley body (1-9) and is connected to the support plate (1-17) via the lifting pulley group (1-13); A running motor (1-12) is provided on the running trolley body (1-9) and is used to drive the wheels (1-10) to move along the crossbeam running guide rail (1-6); A crossbeam reinforcement member (1-8) connects the crossbeam (1-7) and the column (1-1) to enhance structural stability; A support column (1-15), a fixing plate (1-16) and a support plate (1-17), wherein the bottom end of the support column (1-15) is fixed to the detection system, and the top end is connected to the support plate (1-17) via the fixing plate (1-16); A detection system rotating motor (1-14) and a detection system rotating bearing (1-18), wherein the detection system rotating bearing (1-18) is arranged between the support column (1-15) and the support plate (1-17), and the detection system rotating motor (1-14) is arranged on the fixed plate (1-16), and the detection system rotating motor (1-14) drives the support column (1-15) to rotate via the detection system bearing (1-18); The detection system comprises: A detection shielding room (2-1), wherein the top end of the detection shielding room (2-1) is connected to the bottom end of the support column (1-15) and is used to isolate external interference and provide a detection space; A neutron generator (2-2) is provided in the detection shielding room (2-1) and is used to generate a neutron beam; A detector (2-4) is provided in the detection shielding room (2-1) and is used to receive detection signals; The power supply and control system (2-3) is electrically connected to the neutron generator (2-2), the detector (2-4) and the motor in the mechanical support system, and is used to provide power and control the operation of each component.

2. The online detection device according to claim 1, characterized in that: The crossbeam rotating motor (1-5) is connected to the crossbeam (1-7) via gear transmission or belt transmission.

3. The online detection device according to claim 1, characterized in that: The lifting pulley group (1-13) comprises a fixed pulley and a movable pulley, and the lifting motor (1-11) drives the movable pulley to move up and down via a steel wire rope.

4. The online detection device according to claim 1, characterized in that: The column (1-1) is a multi-section telescopic structure, and height adjustment is achieved through bolts or a hydraulic mechanism.

5. The online detection device according to claim 1, characterized in that: The inner wall of the detection shielding room (2-1) is provided with neutron absorbing material to reduce radiation leakage.

6. The online detection device according to claim 1, characterized in that: The power supply and control system (2-3) includes a programmable logic controller for realizing automated detection process control.

7. The online detection device according to claim 1, characterized in that: The online detection device also includes a monitoring and analysis system, which integrates a data acquisition module, an energy spectrum processing module, a data analysis module, a remote monitoring module, and a database management module, and realizes automated detection and data management based on the spectrum library least squares method and calibration function.

8. A method for online detection of scrap steel briquette composition based on the device of claim 1, comprising the following steps: 1) Use a mechanical system to position the detection shielding room above the scrap steel briquette to be inspected; 2) Start the neutron generator to generate a neutron beam, bombard the scrap steel briquette to trigger a nuclear reaction and release characteristic gamma rays; 3) Gamma-ray spectrum data is collected through the detector, and after the spectrum is solved by the least squares method of the spectrum library, the element content ratio is calculated by comparing it with the standard database.

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