Informatization monitoring method, device and system based on reduced iron powder process

Abstract

The embodiment of the invention is suitable for the technical field of information technology and powder metallurgy, and provides an informatization monitoring method, device and system based on a reduced iron powder process, and the method comprises the following steps: collecting a first image of iron ore to be crushed; identifying the particle size distribution information of the iron ore, wherein the particle size distribution information comprises the proportion information of the radius value of the iron ore in a plurality of particle size distribution intervals; according to the particle size distribution information, crushing parameters of crushing equipment are adjusted, and the crushing equipment is controlled to perform crushing treatment on the iron ore according to the crushing parameters; after the crushed iron powder is treated by heating reduction equipment, monitoring the concentration of hydrogen-rich gas output by the heating reduction equipment; and monitoring the execution process of each process link of the reduced iron powder flow based on the concentration of the hydrogen-rich gas. By adopting the method, the process links of the whole process of reducing the iron powder can be monitored, the smooth execution of the process is ensured, and products conforming to corresponding specifications are obtained.

Description

Technical Field

[0001] The embodiments of the present application belong to the field of information technology and powder metallurgy technology, and in particular, relate to an information-based monitoring method, device and system based on a reduced iron powder process. Background Art

[0002] Powder metallurgy is a process that uses metal powder (or a mixture of metal powder and non-metal powder) as raw material to manufacture metal materials, composite materials or various types of products through forming and sintering processes. It is a green, low-energy, high-material utilization technology that conforms to the trend of high-quality development. Metal powders include aluminum powder, copper powder, iron powder, nickel powder, titanium powder, tungsten powder, molybdenum powder, etc., which can be used in many fields such as wind energy, solar energy, fuel cells, etc.

[0003] Among them, ultrafine iron powder has many excellent properties. First, it has small particle size and large surface area, so it has a wide range of applications in electricity, magnetism and adsorption. Second, the micro-nano-level ultrafine iron powder has a strong ability to absorb light, making the color of the iron powder and the product itself darker and darker. Due to this characteristic, it has important application value in the fields of optics, national defense, aerospace, etc. Third, the finer the particle size of the ultrafine iron powder, the stronger its own activity, so that it has special application properties in catalysis, chemical reactivity, etc. Fourth, ultrafine iron powder itself is one of the basic raw materials of the powder metallurgy industry, and is widely used in various metallurgical fields such as powder metallurgy, manufacturing mechanical parts, superhard materials, magnetic materials, and powder metallurgy parts production. Therefore, the demand for ultrafine iron powder is increasing.

[0004] In the prior art, ultrafine iron powder can be obtained by processing iron ore and reducing it. The process of reducing iron powder requires the use of a variety of equipment. The traditional process requires manual control of each device, which is not only labor-intensive, but also affected by the operator's own operating level, which can easily lead to the final production of various main and by-products that cannot meet actual needs, or the produced products do not meet the expected specifications. Summary of the invention

[0005] In view of this, the embodiments of the present application provide an information-based monitoring method, device and system based on the reduced iron powder process, which is used to realize automated monitoring of the process links of the entire reduced iron powder process, use information technology to ensure the smooth execution of the process, and obtain products that meet the corresponding specifications.

[0006] A first aspect of an embodiment of the present application provides an information-based monitoring method based on a reduced iron powder process, comprising:

[0007] capturing a first image of the iron ore to be crushed that is transmitted to an inlet of a crushing device;

[0008] identifying particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals;

[0009] According to the particle size distribution information, adjusting the pulverizing parameters of the pulverizing device, and controlling the pulverizing device to perform pulverizing processing on the iron ore according to the pulverizing parameters;

[0010] After the crushed iron powder is processed by the heating reduction device, the concentration of the hydrogen-rich gas output by the heating reduction device is monitored;

[0011] Based on the concentration of the hydrogen-rich gas, the execution process of each process step of the iron powder reduction process is monitored.

[0012] Optionally, the identifying the particle size distribution information of the iron ore contained in the first image includes:

[0013] After enlarging the first image by a preset multiple, dividing it into a plurality of first sub-images;

[0014] Performing image segmentation on each of the first sub-images to obtain a plurality of first image segmentation results, wherein any of the first image segmentation results includes a plurality of iron ore masks, and the area where the iron ore masks are located is used to characterize the iron ore;

[0015] According to the plurality of iron ore masks, particle size distribution information of the iron ore is determined.

[0016] Optionally, determining the particle size distribution information of the iron ore according to the plurality of iron ore masks comprises:

[0017] Traversing each iron ore mask in any of the first sub-images;

[0018] The area of ​​the iron ore represented by each of the iron ore masks is calculated based on the pixel points covered by each of the iron ore masks, and after fitting the iron ore into a circle, the radius value of the iron ore is determined according to the area;

[0019] According to the radius value of the iron ore, the particle size distribution information of the iron ore is determined.

[0020] Optionally, the pulverizing device includes a jet mill, and adjusting the pulverizing parameters of the pulverizing device according to the particle size distribution information includes:

[0021] Using the ratio information as input data of a pre-trained parameter adjustment model, obtaining reference information of crushing parameters output by the parameter adjustment model, wherein the parameter adjustment model is trained based on historical crushing data;

[0022] The pulverizing parameters of the pulverizing equipment are adjusted according to the pulverizing parameter reference information, and the pulverizing parameters at least include the pulverizing pressure and pulverizing temperature of the airflow pulverizer.

[0023] Optionally, before adjusting the pulverizing parameters of the pulverizing device according to the particle size distribution information, the method further includes:

[0024] Determining particle size distribution information of the iron ore currently being crushed by the crushing equipment;

[0025] Comparing the proportional similarity of the particle size distribution information of the iron ore currently being crushed with the particle size distribution information of the iron ore to be crushed;

[0026] If the ratio similarity is less than a preset threshold, the particle size distribution information of the iron ore being crushed is used to update the particle size distribution information of the iron ore to be crushed to maintain the crushing parameters of the crushing equipment unchanged; otherwise, the step of adjusting the crushing parameters of the crushing equipment according to the particle size distribution information is executed.

[0027] Optionally, the process steps include a gas purification process step, and the monitoring of the execution process of each process step of the iron powder reduction process based on the concentration of the hydrogen-rich gas includes:

[0028] Determining purification parameters of a gas purification device according to the concentration of the hydrogen-rich gas;

[0029] The gas purification device is controlled to purify the hydrogen-rich gas according to the purification parameters.

[0030] Optionally, the process link further includes a pressure swing adsorption process link, and the monitoring of the execution process of each process link of the iron powder reduction process based on the concentration of the hydrogen-rich gas further includes:

[0031] Monitoring the concentration of hydrogen gas output after being purified by the gas purification device, and determining the adsorption parameters of the pressure swing adsorption device based on the concentration of the output hydrogen gas;

[0032] The pressure swing adsorption device is controlled to perform pressure swing adsorption on the hydrogen output after purification by the gas purification device according to the adsorption parameters to obtain high-purity hydrogen.

[0033] A second aspect of the embodiment of the present application provides an information monitoring device based on a reduced iron powder process, comprising:

[0034] A collection module, used for collecting a first image of the iron ore to be crushed which is transmitted to the inlet of the crushing device;

[0035] an identification module, configured to identify particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals;

[0036] A comminution module, used for adjusting the comminution parameters of the comminution equipment according to the particle size distribution information, and controlling the comminution equipment to perform comminution processing on the iron ore according to the comminution parameters;

[0037] A monitoring module, used for monitoring the concentration of the hydrogen-rich gas outputted by the heating reduction device after the crushed iron powder is processed by the heating reduction device;

[0038] The monitoring module is used to monitor the execution process of each process link of the iron powder reduction process based on the concentration of the hydrogen-rich gas.

[0039] A third aspect of an embodiment of the present application provides a control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the control device implements a method as described in any one of the first aspects above.

[0040] A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a computer, the method described in the first aspect above is implemented.

[0041] A fifth aspect of the embodiments of the present application provides a computer program product, including a computer program, which, when executed, enables the method described in the first aspect to be executed.

[0042] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0043] In an embodiment of the present application, by collecting a first image of the iron ore to be crushed and transmitted to the entrance of the crushing equipment, the particle size distribution information of the iron ore contained in the first image can be identified by an image processing-related algorithm, and the particle size distribution information can include the ratio information of the radius value of the iron ore in multiple particle size distribution intervals. In this way, the computer device or the control device can adjust the crushing parameters of the crushing device according to the particle size distribution information, and control the crushing device to perform crushing processing on the iron ore according to the crushing parameters to obtain ultrafine iron powder that meets the expected specifications or requirements. On the other hand, when the crushed iron powder is processed by the heating reduction device, by monitoring the concentration of the hydrogen-rich gas output by the heating reduction device, the computer device can monitor the execution process of each process link of the iron powder reduction process based on the concentration of the generated hydrogen-rich gas, realize the automatic monitoring of the entire process of the iron powder reduction process and parameter adjustment, and ensure that the main and by-products that meet the requirements can be obtained in the end. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 It is a schematic diagram of an information-based monitoring method for a reduced iron powder process provided in an embodiment of the present application;

[0046] Figure 2 It is a schematic diagram of a possible implementation method of S102 in an information-based monitoring method for a reduced iron powder process provided in an embodiment of the present application;

[0047] Figure 3 It is a schematic diagram of a possible implementation method of S1023 in an information-based monitoring method for a reduced iron powder process provided in an embodiment of the present application;

[0048] Figure 4 It is a schematic diagram of a process for reducing iron powder provided in an embodiment of the present application;

[0049] Figure 5 It is a schematic diagram of an information monitoring device based on a reduced iron powder process provided in an embodiment of the present application;

[0050] Figure 6 It is a schematic diagram of a control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0052] The technical solution of the present application is described below through specific embodiments.

[0053] Reference Figure 1 , shows a schematic diagram of an information-based monitoring method for a reduced iron powder process provided by an embodiment of the present application, which may specifically include the following steps:

[0054] S101, collecting a first image of the iron ore to be crushed and transmitted to the inlet of the crushing equipment.

[0055] It should be noted that the method can be applied to computer equipment, that is, the execution subject of the embodiment of the present application can be a computer device. The computer device can form a control system together with other equipment required in the reduced iron powder process. The computer device can realize automatic monitoring of the reduced iron powder process by executing each step in the method, and use information technology to ensure the smooth execution of the process, thereby controlling the processing of raw materials and intermediate materials by related equipment, and producing products that meet corresponding specifications or meet specific needs. The embodiment of the present application does not limit the type, quantity, etc. of the computer device.

[0056] In the embodiment of the present application, the equipment required for the process of reducing iron powder includes a crushing device, the purpose of which may be to crush the iron ore as the raw material at the beginning of the process. Generally, different specifications of iron ore may require different crushing parameters during the crushing process, so as to ensure the best crushing effect.

[0057] Therefore, in the embodiment of the present application, an image acquisition device, such as a high-definition camera or a high-definition camera, can be configured at the entrance of the crushing equipment, and the image acquisition device can be used to capture the image of the iron ore to be crushed transmitted to the entrance of the crushing equipment, that is, the first image.

[0058] In a possible implementation of an embodiment of the present application, the iron ore transmitted to the entrance of the crushing equipment may be pretreated iron ore. During the pretreatment process, the pretreatment equipment may perform preliminary crushing on the iron ore, so that the particle size of the iron ore transmitted to the entrance of the crushing equipment is within a certain range, thereby improving the crushing effect of the crushing equipment. The particle size of the above-mentioned iron ore may refer to the radius or diameter of the iron ore in a fine-grained state, etc. The radius or diameter may be roughly estimated by regarding the iron ore in a fine-grained state as being similar to a circle. Typically, the diameter of the iron ore initially crushed by the pretreatment equipment may be within 10 millimeters (mm), that is, the diameter of the iron ore transmitted to the entrance of the crushing equipment is within 10 mm. If the radius is used as the particle size, the particle size of the iron ore should be within 5 mm.

[0059] By using a high-definition camera or a camera to capture the first image of the iron ore to be crushed, the specific particle size distribution information of the iron ore to be fed into the crushing equipment can be further determined through image recognition, so as to adjust the crushing parameters of the crushing equipment in a targeted manner.

[0060] In a possible implementation of an embodiment of the present application, the number of high-definition cameras or cameras configured at the entrance of the crushing equipment may include multiple, and these multiple high-definition cameras can capture images of the iron ore at the entrance from multiple different angles or orientations, so as to comprehensively determine the particle size distribution information of the iron ore.

[0061] In one example, each high-definition camera or camera head can capture images of the iron ore at its own angle or orientation, and these images can be used as first images, and the computer device executes S102 and subsequent steps to identify the particle size information of the iron ore.

[0062] In another example, each high-definition camera or camera head can also collect images of iron ore at their respective angles or orientations, and these images can be fused, and the fused images can be used as the first image, and the computer device can execute S102 and subsequent steps to identify the particle size information of the iron ore. This embodiment of the application is not limited to this.

[0063] S102: Identify particle size distribution information of the iron ore contained in the first image, where the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals.

[0064] In an embodiment of the present application, the computer device may perform image processing on the first image captured by a high-definition camera or a video camera, thereby estimating the particle size distribution information of the iron ore contained in the first image.

[0065] In a possible implementation of the embodiment of the present application, the first image may be an image captured by multiple high-definition cameras. For example, high-definition cameras C1, C2, and C3 are provided at the entrance of the crushing device, and the image captured by each high-definition camera is transmitted to the computer device for image processing as a first image. The computer device can identify the first image transmitted by each high-definition camera separately, and obtain the particle size distribution information of the iron ore corresponding to each first image, thereby comprehensively obtaining the particle size distribution information of the iron ore to be crushed.

[0066] The above-mentioned particle size distribution information may include the proportion information of the radius value of the iron ore in multiple particle size distribution intervals. Exemplarily, if the radius value is used as the particle size comparison benchmark, the particle size distribution interval can be set to be less than 1mm, between 1mm and 3mm, between 3mm and 5mm, and greater than 5mm. Through the image recognition of the computer equipment, the proportion of different iron ores in each of the above-mentioned intervals can be determined. For example, taking the above-mentioned particle size distribution interval as an example, the particle size distribution information of the iron ore obtained based on a first image recognition can be {1:5:3:1}, and the distribution information can indicate that among the iron ore to be crushed at present, the iron ore with a radius value less than 1mm accounts for 10% of the whole, and the iron ore with a radius value between 1mm and 3mm, between 3mm and 5mm, and greater than 5mm accounts for approximately 50%, 30% and 10% of the whole, respectively.

[0067] Of course, depending on actual needs, the particle size distribution interval may include more or fewer intervals, and the embodiments of the present application are not limited to this.

[0068] In a possible implementation of the embodiment of the present application, as Figure 2 As shown, identifying the particle size distribution information of the iron ore contained in the first image in S102 may specifically include the following steps S1021S-S1023:

[0069] S1021. After enlarging the first image by a preset multiple, divide the first image into a plurality of first sub-images.

[0070] In the embodiment of the present application, in order to improve the accuracy of image processing, the first image may be firstly magnified by a preset multiple, such as 5 times or 8 times, etc. After the first image is magnified by a certain multiple, it is then divided into a plurality of first sub-images, each of which represents a certain area in the first image, so that image processing can be performed on different areas in the first image respectively, thereby improving the accuracy of image processing.

[0071] Exemplarily, the first image magnified several times may be evenly divided into a plurality of first sub-images, for example, the first image may be divided into 4 first sub-images or 6 or 8 first sub-images.

[0072] S1022. Perform image segmentation on each of the first sub-images to obtain a plurality of first image segmentation results. Any of the first image segmentation results includes a plurality of iron ore masks. The region where the iron ore masks are located is used to characterize the iron ore.

[0073] In an embodiment of the present application, an image segmentation model can be used to perform image segmentation on each first sub-image. The multiple first image segmentation results obtained by the image segmentation model may include multiple iron ore masks, and the area where each mask is located can be used to characterize the iron ore in the area in the first sub-image.

[0074] In a possible implementation of an embodiment of the present application, the image segmentation model can be obtained by training based on annotated iron ore images, and the annotated iron ore images can be obtained after image acquisition and sub-image division in the aforementioned manner. That is, the first image is acquired in the aforementioned manner and divided into a plurality of first sub-images, and these first sub-images can be annotated with the respective iron ores therein by manual annotation, thereby forming sample data. The sample data can be divided into a training data set and a verification data set in a certain proportion for training the image segmentation model. During the training process, the image segmentation model can learn various morphological characteristics of iron ore, so that in actual application, multiple iron ore masks can be accurately segmented from the first sub-image to be processed.

[0075] S1023. Determine the particle size distribution information of the iron ore according to the multiple iron ore masks.

[0076] Since each iron ore mask obtained by segmentation can represent iron ore of a certain particle size or a certain radius, the particle size distribution of the iron ore contained in each first sub-image can be obtained based on the iron ore mask in the sub-image, and then the particle size distribution information of the iron ore contained in the first image can be obtained. The particle size distribution information is also the particle size distribution information of the iron ore that is about to be sent to the crushing equipment for crushing.

[0077] In a possible implementation of the embodiment of the present application, as Figure 3 As shown, in S1023, the particle size distribution information of the iron ore is determined according to the multiple iron ore masks, which may specifically include the following steps S1231-S1233:

[0078] S1231. Traverse each iron ore mask in any of the first sub-images.

[0079] In the embodiment of the present application, each first sub-image may be processed separately to comprehensively obtain the particle size distribution information of the iron ore contained in the first image. In this process, each iron ore mask in each first sub-image may be traversed.

[0080] S1232. Calculate the area of ​​the iron ore represented by each of the iron ore masks based on the pixel points covered by each of the iron ore masks, and determine the radius value of the iron ore according to the area after fitting the iron ore into a circle.

[0081] In the embodiment of the present application, for a certain iron ore mask in the first sub-image currently being processed, the area of ​​the iron ore represented by the mask can be determined by counting the number of pixels covered by the iron ore mask.

[0082] In a specific implementation, a contour detection algorithm in image processing can be used to determine the contour of each iron ore mask, and then determine the number of pixels covered by the mask, and the area of ​​the iron ore is represented by the number of pixels.

[0083] Then, the iron ore corresponding to each iron ore mask can be fitted into a circle, and the radius value of the iron ore can be calculated in combination with the calculated area of ​​the iron ore.

[0084] In this way, the radius value of each iron ore in each first sub-image can be calculated, and then the radius values ​​of all iron ores in the first image can be obtained.

[0085] It should be noted that, since the computer device first magnifies the first image several times when dividing the first image into multiple first sub-images, the above factors need to be considered when calculating the area and radius value of the iron ore in each first sub-image to ensure the accuracy of the final calculated iron ore radius value.

[0086] S1233. Determine particle size distribution information of the iron ore according to the radius value of the iron ore.

[0087] In an embodiment of the present application, the particle size distribution information of the iron ore contained in the first image can be determined based on the calculated radius value of each iron ore in the first image, that is, the proportion of the iron ore contained in each particle size distribution interval to the whole can be determined based on the radius value of the iron ore.

[0088] In a possible implementation of the embodiment of the present application, the first image may include multiple images, that is, multiple high-definition cameras may capture multiple first images. For each first image, the computer device may determine the particle size distribution information of the iron ore in each first image in the manner described above.

[0089] On this basis, different weights can also be set for each first image according to actual needs, and the weight can be set according to the position of the high-definition camera that captured the first image. For example, high-definition cameras in three directions, namely the left side, the upper side, and the right side, can be used to capture the first image of the iron ore transmitted to the entrance of the crushing equipment. Since the high-definition camera on the upper side can better capture the overall shape of the iron ore, it can be given a greater weight when setting the weight. For example, the weight of the high-definition camera on the upper side can be 60%, and the weights of the high-definition cameras on the left and right sides can be 20% respectively, which is the weight of the first image captured by the corresponding camera. That is, the weight of the first image captured by the high-definition camera on the upper side can be 60%, and the weight of the first image captured by the high-definition camera on the left and right sides can be 20% respectively. The above weight setting is only an example and can be determined according to actual needs. The embodiment of the present application does not limit this.

[0090] After setting a weight for each first image, the particle size distribution information of the iron ore currently input to the inlet of the crushing device can be obtained in a weighted manner based on the weight of each first image and the calculated particle size distribution information of the corresponding iron ore.

[0091] S103, adjusting the crushing parameters of the crushing equipment according to the particle size distribution information, and controlling the crushing equipment to crush the iron ore according to the crushing parameters.

[0092] In an embodiment of the present application, according to the particle size distribution information of the iron ore, the computer device can first adjust the crushing parameters of the crushing equipment, so that after the iron ore to be crushed is transmitted to the inside of the crushing equipment, the computer device can control the crushing equipment to perform crushing processing on the iron ore according to the adjusted crushing parameters.

[0093] In a possible implementation of the embodiment of the present application, when the computer device adjusts the crushing parameters of the crushing equipment according to the particle size distribution information, it can also refer to the specification information of the iron powder to be produced and adjust the crushing parameters in combination with the iron powder specification information.

[0094] For example, for the specifications of the iron powder expected to be obtained, the computer equipment can determine the difference between the particle size distribution of the iron ore currently to be crushed and the iron powder of this specification. If the difference is large, the crushing pressure and / or crushing temperature can be increased to ensure that the final iron powder meets the expected requirements.

[0095] In a possible implementation of the embodiment of the present application, when the computer device adjusts the crushing parameters of the crushing equipment according to the particle size distribution information of the iron ore, it can be carried out according to the information indicated by the parameter adjustment model obtained by training. That is, a parameter adjustment model can be pre-trained, and after obtaining the particle size distribution information of the iron ore to be crushed, that is, the ratio information of the radius value of the iron ore in each particle size distribution interval, the ratio information can be used as the input data of the pre-trained parameter adjustment model, and the parameter adjustment model processes the ratio information and outputs the crushing parameter reference information. The computer device can obtain the crushing parameter reference information output by the parameter adjustment model, and adjust the crushing parameters of the crushing equipment according to the crushing parameter reference information.

[0096] In a possible implementation of the embodiment of the present application, the pulverizing device may include an air flow pulverizer, so the above-mentioned pulverizing parameters may at least include the pulverizing pressure and pulverizing temperature of the air flow pulverizer.

[0097] The airflow pulverizer uses the supersonic high-turbulence airflow generated by compressed air or superheated steam through the nozzle as the carrier of particles. Impact extrusion, friction and shearing occur between particles or between particles and the fixed plate, thereby achieving the purpose of crushing. Compared with ordinary mechanical impact ultrafine pulverizers, airflow pulverizers can crush products finer and have a narrower particle size distribution range, that is, more uniform particle size. Because the gas of the airflow pulverizer expands at the nozzle and cools down, there is no associated heat in the crushing process, so the crushing temperature rise is very low. This feature is particularly important for ultrafine crushing of low melting point and heat-sensitive materials. The power of airflow crushing is air. Driven by high-speed airflow, the material runs at high speed and self-collides to achieve crushing.

[0098] In an embodiment of the present application, the parameter adjustment model can be trained based on historical crushing data. The above historical crushing data may include particle size distribution information of the iron ore to be crushed, crushing parameters of the corresponding crushing equipment, and specification information of the iron powder obtained by the crushing operation under the crushing parameters. By using historical crushing data to train the parameter adjustment model, an accurate machine learning model can be better obtained for adjusting the crushing parameters in the actual crushing operation control process.

[0099] In a possible implementation of the embodiment of the present application, when the iron ore is transmitted to the entrance of the crushing device, the crushing device may be in a working state, that is, the crushing device is currently performing crushing processing on another batch of iron ore. At this time, before adjusting the crushing parameters of the crushing device according to the particle size distribution information of the iron ore to be crushed, the particle size distribution information of the iron ore currently being crushed by the crushing device can also be determined, and the proportional similarity of the particle size distribution information of the iron ore currently being crushed and the particle size distribution information of the iron ore to be crushed can be compared. That is, compare whether the particle size distributions of two different batches of iron ores are similar or close. If the above-mentioned proportional similarity is less than the preset threshold value, it means that it is also appropriate to crush the next batch of iron ore, that is, the batch of iron ore input to the entrance of the crushing device, according to the crushing parameters currently being used. Therefore, the particle size distribution information of the iron ore to be crushed can be used to update the particle size distribution information of the iron ore to be crushed to maintain the crushing parameters of the crushing device unchanged; otherwise, the step of adjusting the crushing parameters of the crushing device according to the particle size distribution information in S103 can be performed.

[0100] S104, after the crushed iron powder is processed by the heating reduction device, the concentration of the hydrogen-rich gas output by the heating reduction device is monitored.

[0101] In an embodiment of the present application, after the crushing equipment completes the crushing of the iron ore, the iron powder can be further transmitted to the heating reduction equipment for processing. After the heating reduction equipment heats and reduces the iron powder, it can generate hydrogen-rich gas and other gases.

[0102] In an embodiment of the present application, a gas concentration monitoring device can be installed at the gas output port of the heating reduction device. When the heating reduction device heats the iron powder to output hydrogen-rich gas, the gas concentration monitoring device can monitor the concentration of the hydrogen-rich gas.

[0103] S105. Monitoring the execution process of each process step of the iron powder reduction process based on the concentration of the hydrogen-rich gas.

[0104] In the embodiment of the present application, the process of reducing iron powder in the production workshop may include multiple process links, in addition to the iron ore crushing process link and the iron powder heating and reduction process link introduced above, it may also include a gas purification process link, a pressure swing adsorption process link, etc. Through the cooperation of multiple process links, not only can the iron powder be reduced, but also other by-products can be produced by using the intermediate raw materials generated in the process of reducing the iron powder. For example, high-purity hydrogen, etc.

[0105] In the embodiment of the present application, after heating iron powder to generate hydrogen-rich gas and obtaining the concentration of the currently generated hydrogen-rich gas through monitoring by the gas concentration monitoring device, the computer device can monitor the execution process of each process link based on the concentration of the hydrogen-rich gas. For example, it can be determined whether the process parameters currently used in each process link are appropriate, whether it is necessary to adjust the process parameters of one or more process links in a targeted manner according to the different concentrations of hydrogen-rich gas, and so on.

[0106] In a possible implementation of an embodiment of the present application, the heating reduction device can be connected to the gas purification device, and the hydrogen-rich gas output after being processed by the heating reduction device can be transmitted to the gas purification device for purification treatment to output high-purity hydrogen.

[0107] Therefore, in an embodiment of the present application, the computer device can determine the purification parameters of the gas purification device according to the concentration of the hydrogen-rich gas output by the heating reduction device, and control the gas purification device to purify the hydrogen-rich gas according to the determined purification parameters to obtain high-purity hydrogen as a by-product.

[0108] In the embodiment of the present application, the purification of hydrogen-rich gas can be achieved by using more than one gas purification device or one type of device as described above, and other devices or equipment can also be used to jointly achieve the purification of hydrogen.

[0109] In a possible implementation of the embodiment of the present application, as mentioned above, the process of reducing iron powder may also include a pressure swing adsorption process link, which may be implemented by a pressure swing adsorption device. Through pressure swing adsorption, together with gas purification equipment, the purification of hydrogen-rich gas can be completed to obtain high-purity hydrogen that meets the expected demand.

[0110] Therefore, in the embodiment of the present application, when monitoring the execution process of each process link of the iron powder reduction process based on the concentration of the rich hydrogen gas, the concentration of the hydrogen gas output after purification by the gas purification device can also be monitored, and the adsorption parameters of the pressure swing adsorption device can be determined based on the concentration of the output hydrogen gas. In this way, the computer device can control the pressure swing adsorption device to perform pressure swing adsorption on the hydrogen gas output after purification by the gas purification device according to the determined adsorption parameters to obtain high-purity hydrogen gas.

[0111] In the embodiment of the present application, the gas output port of the heating reduction device or the gas input port of the gas purification device, the gas output port of the gas purification device or the gas input port of the pressure swing adsorption device, and the gas output port of the pressure swing adsorption device and other gas input and output ports can be installed with a gas concentration monitoring device for monitoring the concentration of the relevant input and output gases. The gas concentrations monitored by the gas concentration monitoring device can be transmitted to the computer device, and the computer device can automatically adjust the process parameters of each process link according to actual needs, thereby realizing automatic monitoring of the entire reduced iron powder process.

[0112] To facilitate understanding, the information-based monitoring method provided in the embodiment of the present application is introduced below with reference to an example.

[0113] like Figure 4 FIG. 1 is a schematic diagram of a process for reducing iron powder provided in an embodiment of the present application. Figure 4 In the process flow shown, the iron ore will first be transported to the crushing equipment for crushing. The crushing equipment can use a jet mill. The crushed iron powder can be heated by a heating reduction device. On the one hand, the heated iron powder can be processed by a powder scattering device to output the main product of the entire process and ultrafine iron powder. On the other hand, the heating reduction device will produce hydrogen-rich gases after heating the iron powder. Figure 4 As shown, the rich hydrogen gas can be input into the gas purification equipment for purification treatment, the purpose of which is to obtain high-purity hydrogen as a byproduct. This process is also the purification process of the rich hydrogen gas.

[0114] In order to increase the concentration of the purified hydrogen, that is, to increase the purity of the purified hydrogen, such as Figure 4 As shown, the embodiment of the present application can also use pressure swing adsorption equipment to purify hydrogen.

[0115] like Figure 4 As shown, the gas purification equipment can be connected to the pressure swing adsorption equipment, and the gas purified by the gas purification equipment can be sent to the pressure swing adsorption equipment for further purification, so that the pressure swing adsorption equipment outputs high-concentration hydrogen that meets the expected needs.

[0116] The information monitoring method provided in the embodiment of the present application can start from the iron ore being transmitted to the entrance of the crushing equipment, and adjust the crushing parameters of the crushing equipment by identifying the particle size distribution information of the iron ore. On the other hand, by monitoring the concentration of the gas generated in the process, the computer equipment can further adjust the parameters of various gas purification equipment and pressure swing adsorption equipment based on the concentration of the generated gas, and jointly realize the automated monitoring of the entire reduced iron powder process, so that the main and by-products that meet the expected specifications or requirements can be produced.

[0117] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0118] Reference Figure 5 , shows a schematic diagram of an information monitoring device based on a reduced iron powder process provided by an embodiment of the present application, which may specifically include a collection module 501, an identification module 502, a crushing module 503, a monitoring module 504 and a monitoring module 505, wherein:

[0119] The acquisition module 501 is used to acquire a first image of the iron ore to be crushed which is transmitted to the inlet of the crushing device;

[0120] An identification module 502 is used to identify the particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes the ratio information of the radius value of the iron ore in a plurality of particle size distribution intervals;

[0121] A crushing module 503 is used to adjust the crushing parameters of the crushing equipment according to the particle size distribution information, and control the crushing equipment to perform crushing processing on the iron ore according to the crushing parameters;

[0122] A monitoring module 504 is used to monitor the concentration of the hydrogen-rich gas output by the heating reduction device after the crushed iron powder is processed by the heating reduction device;

[0123] The monitoring module 505 is used to monitor the execution process of each process link of the iron powder reduction process based on the concentration of the hydrogen-rich gas.

[0124] In a possible implementation of the embodiment of the present application, the identification module 502 may be specifically used for:

[0125] After enlarging the first image by a preset multiple, dividing it into a plurality of first sub-images;

[0126] Performing image segmentation on each of the first sub-images to obtain a plurality of first image segmentation results, wherein any of the first image segmentation results includes a plurality of iron ore masks, and the area where the iron ore masks are located is used to characterize the iron ore;

[0127] According to the plurality of iron ore masks, particle size distribution information of the iron ore is determined.

[0128] In the embodiment of the present application, the identification module 502 may also be used for:

[0129] Traversing each iron ore mask in any of the first sub-images;

[0130] The area of ​​the iron ore represented by each of the iron ore masks is calculated based on the pixel points covered by each of the iron ore masks, and after fitting the iron ore into a circle, the radius value of the iron ore is determined according to the area;

[0131] According to the radius value of the iron ore, the particle size distribution information of the iron ore is determined.

[0132] In a possible implementation of the embodiment of the present application, the pulverizing device includes an air flow pulverizer, and the pulverizing module 503 can be specifically used for:

[0133] Using the ratio information as input data of a pre-trained parameter adjustment model, obtaining reference information of crushing parameters output by the parameter adjustment model, wherein the parameter adjustment model is trained based on historical crushing data;

[0134] The pulverizing parameters of the pulverizing equipment are adjusted according to the pulverizing parameter reference information, and the pulverizing parameters at least include the pulverizing pressure and pulverizing temperature of the airflow pulverizer.

[0135] In another possible implementation of the embodiment of the present application, the identification module 502 may also be used to:

[0136] Determining particle size distribution information of the iron ore currently being crushed by the crushing equipment;

[0137] Comparing the proportional similarity of the particle size distribution information of the iron ore currently being crushed with the particle size distribution information of the iron ore to be crushed;

[0138] If the ratio similarity is less than a preset threshold, the particle size distribution information of the iron ore being crushed is used to update the particle size distribution information of the iron ore to be crushed, so as to maintain the crushing parameters of the crushing equipment unchanged; otherwise, the crushing module 503 is called to execute the step of adjusting the crushing parameters of the crushing equipment according to the particle size distribution information.

[0139] In a possible implementation of the embodiment of the present application, the process step includes a gas purification process step, and the monitoring module 505 can be specifically used for:

[0140] Determining purification parameters of a gas purification device according to the concentration of the hydrogen-rich gas;

[0141] The gas purification device is controlled to purify the hydrogen-rich gas according to the purification parameters.

[0142] In another possible implementation of the embodiment of the present application, the process link also includes a pressure swing adsorption process link, and the monitoring module 505 can also be used to:

[0143] Monitoring the concentration of hydrogen gas output after being purified by the gas purification device, and determining the adsorption parameters of the pressure swing adsorption device based on the concentration of the output hydrogen gas;

[0144] The pressure swing adsorption device is controlled to perform pressure swing adsorption on the hydrogen output after purification by the gas purification device according to the adsorption parameters to obtain high-purity hydrogen.

[0145] The embodiment of the present application provides an information monitoring device based on the reduced iron powder process, which can be the control device in the aforementioned method embodiment or one or more modules in the control device; or, the device can also be other devices that can realize the functions related to each step in the aforementioned method embodiment. By using the device, each step in the aforementioned method embodiment can be realized.

[0146] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment part.

[0147] Reference Figure 6 , shows a schematic diagram of a control device provided in an embodiment of the present application. Figure 6 As shown, the control device 600 in the embodiment of the present application includes: a processor 610, a memory 620, and a computer program 621 stored in the memory 620 and executable on the processor 610. When the processor 610 executes the computer program 621, the steps in each embodiment of the above-mentioned information-based monitoring method for reduced iron powder process are implemented, for example Figure 1 Alternatively, when the processor 610 executes the computer program 621, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 5 Functions of modules 501 to 505 are shown.

[0148] Exemplarily, the computer program 621 may be divided into one or more modules / units, which are stored in the memory 620 and executed by the processor 610 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which may be used to describe the execution process of the computer program 621 in the control device 600. For example, the computer program 621 may be divided into a collection module, an identification module, a crushing module, a monitoring module, and a surveillance module, and the specific functions of each module are as follows:

[0149] A collection module, used for collecting a first image of the iron ore to be crushed which is transmitted to the inlet of the crushing device;

[0150] an identification module, configured to identify particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals;

[0151] A comminution module, used for adjusting the comminution parameters of the comminution equipment according to the particle size distribution information, and controlling the comminution equipment to perform comminution processing on the iron ore according to the comminution parameters;

[0152] A monitoring module, used for monitoring the concentration of the hydrogen-rich gas outputted by the heating reduction device after the crushed iron powder is processed by the heating reduction device;

[0153] The monitoring module is used to monitor the execution process of each process link of the iron powder reduction process based on the concentration of the hydrogen-rich gas.

[0154] The control device 600 may be a computer device capable of implementing the functions related to each step in the above-mentioned method embodiments, and the computer device may be a desktop computer, a cloud server, etc. The control device 600 may include, but is not limited to, a processor 610 and a memory 620. Those skilled in the art will understand that Figure 6 It is only an example of the control device 600 and does not constitute a limitation of the control device 600. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the control device 600 may also include input and output devices, network access devices, buses, etc.

[0155] The processor 610 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0156] The memory 620 may be an internal storage unit of the control device 600, such as a hard disk or memory of the control device 600. The memory 620 may also be an external storage device of the control device 600, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 600. Further, the memory 620 may also include both an internal storage unit of the control device 600 and an external storage device. The memory 620 is used to store the computer program 621 and other programs and data required by the control device 600. The memory 620 may also be used to temporarily store data that has been output or is to be output.

[0157] An embodiment of the present application also discloses a control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the methods described in the above embodiments are implemented.

[0158] The present application also discloses an information monitoring system, which may include the aforementioned computer equipment for realizing various control functions, as well as other related equipment involved in the process of reducing iron powder. For example, the above-mentioned information monitoring system may include Figure 6 The control equipment shown, the crushing equipment, gas purification equipment, pressure swing adsorption equipment introduced above, as well as a high-definition camera or high-definition camera for collecting the first image of iron ore, a gas concentration monitoring device for monitoring gas concentration, etc.

[0159] The embodiments of the present application further disclose a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a computer, the methods described in the above embodiments are implemented.

[0160] The embodiments of the present application further disclose a computer program product, including a computer program. When the computer program is run on a computer, the computer is enabled to execute the methods described in the aforementioned embodiments.

[0161] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application is described in detail with reference to the above-mentioned embodiments, a person skilled in the art should understand that the technical solutions described in the above-mentioned embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. An information-based monitoring method for reduced iron powder process, characterized in that: include: capturing a first image of the iron ore to be crushed that is transmitted to an inlet of a crushing device; Identifying particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals; According to the particle size distribution information, adjusting the pulverizing parameters of the pulverizing device, and controlling the pulverizing device to perform pulverizing processing on the iron ore according to the pulverizing parameters; After the crushed iron powder is processed by the heating reduction device, the concentration of the hydrogen-rich gas output by the heating reduction device is monitored; Based on the concentration of the hydrogen-rich gas, the execution process of each process step of the iron powder reduction process is monitored.

2. The method according to claim 1, characterized in that The identifying the particle size distribution information of the iron ore contained in the first image includes: After enlarging the first image by a preset multiple, dividing it into a plurality of first sub-images; Performing image segmentation on each of the first sub-images to obtain a plurality of first image segmentation results, wherein any of the first image segmentation results includes a plurality of iron ore masks, and the area where the iron ore masks are located is used to characterize the iron ore; According to the plurality of iron ore masks, particle size distribution information of the iron ore is determined.

3. The method according to claim 2, characterized in that Determining the particle size distribution information of the iron ore according to the plurality of iron ore masks comprises: Traversing each iron ore mask in any of the first sub-images; The area of ​​the iron ore represented by each of the iron ore masks is calculated based on the pixel points covered by each of the iron ore masks, and after fitting the iron ore into a circle, the radius value of the iron ore is determined according to the area; According to the radius value of the iron ore, the particle size distribution information of the iron ore is determined.

4. The method according to any one of claims 1 to 3, characterized in that: The pulverizing device includes a jet mill, and adjusting the pulverizing parameters of the pulverizing device according to the particle size distribution information includes: Using the ratio information as input data of a pre-trained parameter adjustment model, obtaining reference information of crushing parameters output by the parameter adjustment model, wherein the parameter adjustment model is trained based on historical crushing data; The pulverizing parameters of the pulverizing equipment are adjusted according to the pulverizing parameter reference information, and the pulverizing parameters at least include the pulverizing pressure and pulverizing temperature of the airflow pulverizer.

5. The method according to claim 4, characterized in that Before adjusting the pulverizing parameters of the pulverizing device according to the particle size distribution information, the method further comprises: Determining particle size distribution information of the iron ore currently being crushed by the crushing equipment; Comparing the proportional similarity of the particle size distribution information of the iron ore currently being crushed with the particle size distribution information of the iron ore to be crushed; If the ratio similarity is less than a preset threshold, the particle size distribution information of the iron ore being crushed is used to update the particle size distribution information of the iron ore to be crushed to maintain the crushing parameters of the crushing equipment unchanged; otherwise, the step of adjusting the crushing parameters of the crushing equipment according to the particle size distribution information is executed.

6. The method according to any one of claims 1 to 3 or 5, characterized in that: The process steps include a gas purification process step, and the execution process of each process step of the iron powder reduction process is monitored based on the concentration of the hydrogen-rich gas, including: Determining purification parameters of a gas purification device according to the concentration of the hydrogen-rich gas; The gas purification device is controlled to purify the hydrogen-rich gas according to the purification parameters.

7. The method according to claim 6, characterized in that The process steps also include a pressure swing adsorption process step, and the execution process of each process step of the iron powder reduction process is monitored based on the concentration of the hydrogen-rich gas, and further includes: Monitoring the concentration of hydrogen gas output after being purified by the gas purification device, and determining the adsorption parameters of the pressure swing adsorption device based on the concentration of the output hydrogen gas; The pressure swing adsorption device is controlled to perform pressure swing adsorption on the hydrogen output after purification by the gas purification device according to the adsorption parameters to obtain high-purity hydrogen.

8. An information monitoring device based on the reduced iron powder process, characterized in that: include: A collection module, used for collecting a first image of the iron ore to be crushed which is transmitted to the inlet of the crushing device; an identification module, configured to identify particle size distribution information of the iron ore contained in the first image, wherein the particle size distribution information includes ratio information of radius values ​​of the iron ore in a plurality of particle size distribution intervals; A comminution module, used for adjusting the comminution parameters of the comminution equipment according to the particle size distribution information, and controlling the comminution equipment to perform comminution processing on the iron ore according to the comminution parameters; A monitoring module, used for monitoring the concentration of the hydrogen-rich gas outputted by the heating reduction device after the crushed iron powder is processed by the heating reduction device; The monitoring module is used to monitor the execution process of each process link of the iron powder reduction process based on the concentration of the hydrogen-rich gas.

9. A control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the control device is caused to implement the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed, the method according to any one of claims 1 to 7 is executed.

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