Method and system for optimizing production process of recycled lightweight aggregate concrete wallboard

Abstract

The invention relates to the field of building materials, in particular to a recycled lightweight aggregate concrete wallboard production process optimization method and system.The method comprises the steps that a building solid waste set and a carbonization box are obtained, crack scanning analysis is conducted on solid waste samples, a recycled concrete set is obtained, the recycled concrete set is crushed and cleaned, initial aggregate is obtained, n comprehensive test groups are obtained, and n is a positive integer; carrying out carbonization analysis on the aggregate sample based on the comprehensive test group and the carbonization box to obtain a sample carbonization value, taking the comprehensive test group corresponding to the maximum sample value as an optimal test group, carrying out carbonization treatment on the initial aggregate based on the optimal test group and the carbonization box, carrying out water absorption performance test on the recycled aggregate, and calculating the addition amount of the recycled aggregate. And obtaining a target concrete wallboard based on the recycled aggregate addition amount and the recycled aggregate, and completing production process optimization of the concrete wallboard. According to the invention, the automation degree of recycling the lightweight aggregate can be improved, and the product quality of the finally produced concrete wallboard is improved.

Description

Technical Field

[0001] The present invention relates to the field of building materials, and particularly to a method and system for optimizing the production process of recycled lightweight aggregate concrete wall panels. Background Art

[0002] With the continuous progress of modern building technology, production process optimization systems have been widely applied in fields such as building materials production, structural design, and quality control. Among them, methods for optimizing the production process of recycled lightweight aggregate concrete wall panels are often used to improve the production efficiency and material properties of wall panels.

[0003] Currently, engineers mainly optimize the lightweight aggregate recycling process according to traditional production processes and standard parameters, or initially control the quality of lightweight aggregate recycling by setting a single material property threshold.

[0004] Although the above methods can achieve the production of concrete wall panels to a certain extent, in the actual production process, the characteristics of different raw materials and the production environment are not fully considered, and the actual production process depends on the personal experience of operators, which may lead to uneven quality of recycled lightweight aggregate, and thus affect the overall quality and stability of concrete wall panels. Therefore, how to improve the automation degree of lightweight aggregate recycling and then improve the product quality of the finally produced concrete wall panels has become an urgent problem to be solved. Summary of the Invention

[0005] The present invention provides a method for optimizing the production process of recycled lightweight aggregate concrete wall panels and a computer-readable storage medium, and its main purpose is to improve the automation degree of lightweight aggregate recycling and the product quality of the finally produced concrete wall panels.

[0006] To achieve the above object, a method for optimizing the production process of recycled lightweight aggregate concrete wall panels provided by the present invention includes: Obtain a set of building solid wastes and a carbonization tank, wherein the set of building solid wastes includes: a plurality of building solid wastes; Perform the following operations on each building solid waste in the set of building solid wastes: Take a sample of the building solid waste to obtain a solid waste sample, wherein the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length; Perform crack scanning analysis on the solid waste sample to obtain a recycling qualification degree, and compare the recycling qualification degree with a preset qualification threshold; If the recycling qualification degree is greater than the qualification threshold, then use the building solid waste as recycled concrete; Summarize the recycled concrete to obtain a set of recycled concrete; Crush and wash the recycled concrete aggregate to obtain the initial aggregate, and sample the initial aggregate to obtain an aggregate sample; Obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: Based on the comprehensive test group and the carbonation chamber, perform carbonation analysis on the aggregate sample to obtain the sample carbonation value; Summarize the sample carbonation values to obtain n sample carbonation values, and confirm the sample maximum value based on the n sample carbonation values, where the sample maximum value is the maximum value among the n sample carbonation values; Take the comprehensive test group corresponding to the sample maximum value as the best test group; Based on the best test group and the carbonation chamber, perform carbonation treatment on the initial aggregate to obtain recycled aggregate; Test the water absorption performance of the recycled aggregate to obtain the water absorption rate, and calculate the addition amount of the recycled aggregate according to the water absorption rate; Based on the addition amount of the recycled aggregate and the recycled aggregate, obtain the target concrete wall panel, and complete the optimization of the production process of the concrete wall panel.

[0007] Optionally, the crack scanning analysis of the solid waste sample to obtain the recycling qualification includes: Obtain an electronic balance, a square-hole sieve, a pressure testing machine, and an ultrasonic detector, where the aperture of the square-hole sieve is the preset initial aperture; Perform a cutting operation on the solid waste sample to obtain multiple cutting samples, where the shapes of the cutting samples are all cubes and the side lengths of the cutting samples are one-fourth of the initial side length; Perform the following operations on each of the multiple cutting samples: Use the electronic balance to perform a weighing operation on the cutting sample to obtain the cutting sample mass; Summarize the cutting sample masses to obtain multiple cutting sample masses; Calculate the cutting average mass using the multiple cutting sample masses, where the cutting average mass is the average value of the multiple cutting sample masses; Calculate the uniformity coefficient according to the multiple cutting sample masses, and the calculation formula is as follows:

[0008] Where, represents the uniformity coefficient, represents the cutting average mass, represents the mass of the th cutting sample among the multiple cutting sample masses, is the number of cutting sample masses among the multiple cutting sample masses; Use the electronic balance to perform a weighing operation on the solid waste sample to obtain the original mass; Use a pressure testing machine to conduct a pressure test on a solid waste sample to obtain a crushed solid waste sample. Among them, an initial pressure is preset when the pressure testing machine conducts a pressure test on the mold of the sample to be tested. Use a square-hole sieve to screen the crushed solid waste sample to obtain sample debris. Use an electronic balance to perform a weighing operation on the sample debris to obtain the mass of the undersize debris. Calculate the crushing index according to the original mass, the mass of the undersize debris, the initial aperture, and the initial pressure. The calculation formula is as follows:

[0009] Among them, represents the crushing index, represents the mass of the undersize debris, represents the original mass, represents the initial pressure, represents the initial aperture; Use an ultrasonic detector to detect the solid waste sample to obtain the sample density. Calculate the recovery qualification rate according to the uniformity coefficient, the crushing index, and the sample density.

[0010] Optionally, the step of using an ultrasonic detector to detect the solid waste sample to obtain the sample density includes: Grind the solid waste sample to obtain a ground sample. Identify four corresponding measuring point groups on the ground sample, and perform the following operations on each group of corresponding measuring point groups among the four corresponding measuring point groups: Detect the ground sample based on the corresponding measuring point group and the ultrasonic detector to obtain a measuring point waveform diagram. Obtain the first arrival time and the measuring point energy integral according to the measuring point waveform diagram. Among them, the ultrasonic detector includes: a transmitting probe and a receiving probe; Summarize the first arrival times to obtain multiple first arrival times, and confirm the average arrival time based on the multiple first arrival times. Among them, the average arrival time is the average value of the multiple first arrival times; Summarize the measuring point energy integrals to obtain multiple measuring point energy integrals, and confirm the average energy integral based on the multiple measuring point energy integrals. Among them, the average energy integral is the average value of the multiple measuring point energy integrals; Calculate the sample density according to the average arrival time, the average energy integral, and the initial side length. The calculation formula is as follows:

[0011] Among them, represents the sample density, represents the initial side length, represents the average arrival time, represents the average energy integral, is a preset first ultrasonic parameter.

[0012] Optionally, the calculation formula for the recycling qualification degree is as follows:

[0013] wherein, represents the recycling qualification degree, is the natural logarithm, is a preset reference value of the crushing index.

[0014] Optionally, the obtaining of n comprehensive test groups includes: Confirm the temperature control range and concentration control range of the carbonation chamber, uniformly sample the temperature control range based on a preset first sampling interval to obtain i temperature test values, and uniformly sample the concentration control range based on a preset second sampling interval to obtain j concentration test values; Obtain n comprehensive test groups by using the i temperature test values and the j concentration test values, wherein n = i × j, and each of the n comprehensive test groups includes: one temperature test value and one concentration test value.

[0015] Optionally, the carbonation analysis of the aggregate sample based on the comprehensive test group and the carbonation chamber to obtain the sample carbonation value includes: Perform a test operation on the aggregate sample using a pressure testing machine to obtain the compressive strength before carbonation; Input the temperature test value and the concentration test value in the comprehensive test group into the carbonation chamber to obtain the target carbonation chamber; Start the target carbonation chamber, and use the started target carbonation chamber to perform carbonation treatment on the aggregate sample to obtain a carbonated sample; Perform a test operation on the carbonated sample using a pressure testing machine to obtain the compressive strength after carbonation; Calculate the sample carbonation value according to the compressive strength of the aggregate before carbonation and the compressive strength of the aggregate after carbonation, and the calculation formula is as follows:

[0016] wherein, represents the sample carbonation value, represents the compressive strength of the aggregate after carbonation, represents the compressive strength of the aggregate before carbonation.

[0017] Optionally, the water absorption performance test of the recycled aggregate to obtain the water absorption rate includes: Take a sample of the recycled aggregate to obtain a recycled aggregate sample; Perform a drying operation on the recycled aggregate sample using a pre-built drying oven to obtain a dried aggregate sample; Perform a weighing operation on the dried aggregate sample using an electronic balance to obtain the dry mass; Obtain a vacuum saturation device and distilled water; Pass the distilled water into the vacuum saturation device to obtain a target vacuum saturation device; Start the target vacuum saturation device and use the started target vacuum saturation device to perform a saturation treatment on the dried aggregate sample to obtain a saturated aggregate sample; Perform a weighing operation on the saturated aggregate sample using an electronic balance to obtain the saturated mass; Calculate the water absorption rate based on the dry mass and the saturated mass. The calculation formula is as follows:

[0018] where, represents the water absorption rate, represents the saturated mass, represents the dry mass.

[0019] Optionally, the calculation formula for the addition amount of the recycled aggregate is as follows:

[0020] where, represents the addition amount of the recycled aggregate, is a preset initial water absorption rate, is a preset initial proportion parameter, is the hyperbolic tangent function.

[0021] Optionally, obtaining the target concrete wall panel based on the addition amount of the recycled aggregate and the recycled aggregate includes: Obtain a mixer and raw materials; Weigh the recycled aggregate using an electronic balance to obtain the mass of the recycled aggregate; Calculate the remaining mass based on the addition amount of the recycled aggregate and the mass of the recycled aggregate. The calculation formula is as follows:

[0022] where, represents the remaining mass, represents the mass of the recycled aggregate; Extract the target materials from the raw materials based on the remaining mass, where the mass of the target materials is the remaining mass; Use the mixer to stir and mix the target materials and the recycled aggregate to obtain the target concrete; Perform pouring and cutting treatments on the target concrete to obtain the target concrete wall panel.

[0023] To achieve the above object, the present invention further provides an optimization system for the production process of recycled lightweight aggregate concrete wall panels, including: A solid waste analysis module, which is used to obtain a building solid waste set and a carbonization tank. Among them, the building solid waste set includes: a plurality of building solid wastes. The following operations are performed on each building solid waste in the building solid waste set: sampling the building solid waste to obtain a solid waste sample. The shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length. Performing crack scanning analysis on the solid waste sample to obtain a recycling qualification degree. Comparing the recycling qualification degree with a preset qualification threshold. If the recycling qualification degree is greater than the qualification threshold, then taking the building solid waste as recycled concrete, and summarizing the recycled concrete to obtain a recycled concrete set; A waste crushing and cleaning module, which is used to crush and clean the recycled concrete set to obtain initial aggregates, and sample the initial aggregates to obtain aggregate samples; An aggregate carbonization treatment module, which is used to obtain n comprehensive test groups. The following operations are performed on each comprehensive test group in the n comprehensive test groups: performing carbonization analysis on the aggregate samples based on the comprehensive test groups and the carbonization tank to obtain sample carbonization values, summarizing the sample carbonization values to obtain n sample carbonization values, and determining a sample maximum value based on the n sample carbonization values. The sample maximum value is the maximum value among the n sample carbonization values. Taking the comprehensive test group corresponding to the sample maximum value as the best test group, and performing carbonization treatment on the initial aggregates based on the best test group and the carbonization tank to obtain recycled aggregates; A wall panel pouring and production module, which is used to test the water absorption performance of the recycled aggregates to obtain a water absorption rate, calculate the recycled aggregate addition amount according to the water absorption rate, and obtain a target concrete wall panel based on the recycled aggregate addition amount and the recycled aggregates, thereby completing the optimization of the production process of the concrete wall panel.

[0024] To solve the above problems, the present invention further provides an electronic device, which includes: A memory that stores at least one instruction; and a processor that executes the instruction stored in the memory to implement the above-mentioned method for optimizing the production process of recycled lightweight aggregate concrete wall panels.

[0025] To solve the above problems, the present invention further provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for optimizing the production process of recycled lightweight aggregate concrete wall panels.

[0026] To solve the problems described in the background art, the present invention obtains a set of construction solid waste and a carbonization tank. Among them, the set of construction solid waste includes: a plurality of construction solid wastes. It can be seen that in the embodiments of the present invention, by pre-obtaining the set of construction solid waste and the carbonization tank, it is convenient to subsequently sample the solid waste and carbonize the initial aggregate, improve the material properties of the initial aggregate, improve the automation degree of recycling light aggregate, and then perform the following operations on each construction solid waste in the set of construction solid waste: sample the construction solid waste to obtain a solid waste sample. Among them, the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length. It can be seen that in the embodiments of the present invention, by sampling each solid waste in the set of solid waste, it is convenient to subsequently screen out the construction solid waste that can be recycled according to the test results of the solid waste sample, perform crack scanning analysis on the solid waste sample to obtain a recycling qualification degree, compare the recycling qualification degree with a preset qualification threshold. If the recycling qualification degree is greater than the qualification threshold, then use the construction solid waste as recycled concrete. It can be seen that in the embodiments of the present invention, by performing crack scanning analysis on the solid waste sample, the uniformity coefficient, crushing index, and sample density of the solid waste sample are obtained, and the recycling qualification degree is calculated through the uniformity coefficient, crushing index, and sample density. The influence of multiple factors on the recycling qualification degree is jointly considered, and by comparing the recycling qualification degree with a preset qualification threshold, it automatically evaluates whether the construction solid waste meets the recycling standard, improves the automation degree of recycling light aggregate, aggregates the recycled concrete to obtain a set of recycled concrete, performs crushing and cleaning on the set of recycled concrete to obtain initial aggregate, samples the initial aggregate to obtain an aggregate sample, obtains n comprehensive test groups, and performs the following operations on each comprehensive test group in the n comprehensive test groups: perform carbonization analysis on the aggregate sample based on the comprehensive test group and the carbonization tank to obtain a sample carbonization value, aggregate the sample carbonization values to obtain a plurality of sample carbonization values, confirm a sample maximum value based on the plurality of sample carbonization values. Among them, the sample maximum value is the maximum value among the plurality of sample carbonization values, and use the comprehensive test group corresponding to the sample maximum value as the best test group. It can be seen that in the embodiments of the present invention, by setting a plurality of comprehensive test groups, the change degree of the compressive strength of the aggregate sample before and after concrete carbonization under different temperature conditions and different carbon dioxide concentration conditions is tested, and then the comprehensive test group corresponding to the largest change degree of the compressive strength is screened out, which is convenient for subsequently using this comprehensive test group to carbonize the initial aggregate, thereby improving the effect of concrete carbonization and improving the product quality of the finally produced concrete wallboard. Perform carbonization treatment on the initial aggregate based on the best test group and the carbonization tank to obtain recycled aggregate. It can be seen that in the embodiments of the present invention, the initial aggregate is carbonized by the optimal temperature test value and concentration test value in the best test group, thereby effectively improving the compressive strength of the initial aggregate, and then improving the product quality of the finally produced concrete wallboard. Perform water absorption performance test on the recycled aggregate to obtain a water absorption rate.Calculate the addition amount of recycled aggregate according to the water absorption rate, and obtain the target concrete wall panel based on the addition amount of recycled aggregate and the recycled aggregate, so as to complete the optimization of the production process of the concrete wall panel. It can be seen that through the water absorption performance test of the recycled aggregate in the embodiment of the present invention, the ideal addition amount of the recycled aggregate is accurately confirmed, and the target concrete wall panel is produced based on the addition amount of the recycled aggregate and the recycled aggregate, thereby improving the product quality of the produced concrete wall panel. Therefore, the present invention can improve the degree of automation of recycling lightweight aggregates and improve the product quality of the finally produced concrete wall panels., BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic flowchart of a method for optimizing the production process of a recycled lightweight aggregate concrete wall panel provided by an embodiment of the present invention; Figure 2 is a functional module diagram of a system for optimizing the production process of a recycled lightweight aggregate concrete wall panel provided by an embodiment of the present invention; Figure 3 is a schematic structural diagram of an electronic device for implementing the method for optimizing the production process of the recycled lightweight aggregate concrete wall panel provided by an embodiment of the present invention.

[0028] Description of the reference numerals: 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0029] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] An embodiment of the present application provides a method for optimizing the production process of a recycled lightweight aggregate concrete wall panel. The execution subject of the method for optimizing the production process of the recycled lightweight aggregate concrete wall panel includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for optimizing the production process of the recycled lightweight aggregate concrete wall panel can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0032] Referring to Figure 1 as shown, it is a schematic flowchart of a method for optimizing the production process of a recycled lightweight aggregate concrete wall panel provided by an embodiment of the present invention. In this embodiment, the method for optimizing the production process of the recycled lightweight aggregate concrete wall panel includes: S1. Obtain a set of construction solid waste and a carbonation box. Among them, the set of construction solid waste includes: multiple construction solid wastes.

[0033] It can be understood that the set of construction solid waste is a set composed of construction solid waste, and construction solid waste refers to: waste bulk materials generated during urban renewal, building demolition, and building renovation.

[0034] Exemplarily, during the renovation of old urban communities, when buildings are demolished, the wall bricks and concrete fragments generated are the construction solid waste.

[0035] It should be explained that the carbonation box is a concrete carbonation test box used to carry out concrete carbonation on initial aggregates or aggregate samples under certain conditions of temperature, humidity, and carbon dioxide concentration. Optionally, a CCB-70 concrete carbonation test box is used as the carbonation box. For the specific applications of the initial aggregates and aggregate samples, please refer to the subsequent embodiments.

[0036] S2. Perform the following operations on each construction solid waste in the set of construction solid waste: Take a sample of the construction solid waste to obtain a solid waste sample. Among them, the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length. Perform crack scanning analysis on the solid waste sample to obtain a recovery qualification degree, and compare the recovery qualification degree with a preset qualification threshold.

[0037] Exemplarily, cut out a cube sample with a side length of the initial side length from the construction solid waste, and the cube sample is the solid waste sample. Optionally, the value of the initial side length is 10 cm.

[0038] Specifically, the performing crack scanning analysis on the solid waste sample to obtain a recovery qualification degree includes: Obtain an electronic balance, a square-hole sieve, a pressure testing machine, and an ultrasonic detector. Among them, the aperture of the square-hole sieve is a preset initial aperture; Perform a cutting operation on the solid waste sample to obtain multiple cutting samples. Among them, the shape of the cutting samples is a cube and the side length of the cutting samples is one-fourth of the initial side length; Perform the following operations on each of the multiple cutting samples: Use the electronic balance to perform a weighing operation on the cutting sample to obtain the cutting sample mass; Sum up the cutting sample masses to obtain multiple cutting sample masses; Calculate the cutting average mass using the multiple cutting sample masses, where the cutting average mass is the average value of the multiple cutting sample masses; Calculate the uniformity coefficient according to the multiple cutting sample masses. The calculation formula is as follows:

[0039] Among them, represents the uniformity coefficient, represents the average cutting quality, represents the quality of the th cutting sample among the qualities of multiple cutting samples, is the quantity of the cutting sample qualities among the qualities of multiple cutting samples; Use an electronic balance to perform a weighing operation on the solid waste sample to obtain the original mass; Use a pressure testing machine to conduct a pressure test on the solid waste sample to obtain a crushed solid waste sample. Among them, the initial pressure when the pressure testing machine conducts a pressure test on the mold of the sample to be tested is preset; Use a square-hole sieve to screen the crushed solid waste sample to obtain sample debris; Use an electronic balance to perform a weighing operation on the sample debris to obtain the mass of the sifted debris; Calculate the crushing index according to the original mass, the mass of the sifted debris, the initial aperture, and the initial pressure. The calculation formula is as follows:

[0040] Among them, represents the crushing index, represents the mass of the sifted debris, represents the original mass, represents the initial pressure, represents the initial aperture; Use an ultrasonic detector to detect the solid waste sample to obtain the sample density; Calculate the recycling qualification degree according to the uniformity coefficient, the crushing index, and the sample density.

[0041] It should be explained that the pressure testing machine is an instrument that can apply pressure to the solid waste sample and can test the compressive strength of the aggregate sample. Moreover, the technology for the pressure testing machine to test the compressive strength of the aggregate sample is an existing technology, which will not be elaborated here. Optionally, a CTS-P300 series microcomputer-controlled cement pressure testing machine is used as the pressure testing machine. The ultrasonic detector is an instrument that uses the propagation characteristics of ultrasonic waves to perform non-destructive detection on internal defects (such as cracks, pores, etc.) of materials. Optionally, a Pundit Lab+ is used as the ultrasonic detector. The main function of the electronic balance is to weigh the solid waste sample. The square-hole sieve is a sieve mesh with an initial aperture. Optionally, the initial aperture is 2 mm.

[0042] Exemplarily, if the initial side length is 8 cm, since the solid waste sample is a cube, the solid waste sample is cut into 64 cubes with a side length of 2 cm using a cutting machine, and the cube with a side length of 2 cm is the cutting sample.

[0043] It should be understood that the mass of the cutting sample is the mass of the cutting sample. The uniformity coefficient reflects the uniformity of the internal components of the solid waste sample. The larger the uniformity coefficient, the more uniform the internal components of the solid waste sample.

[0044] It can be understood that the pressure test on the solid waste sample using a pressure testing machine means: continuously applying a constant pressure to the solid waste sample using a pressure testing machine. Since the solid waste sample will crack under the action of pressure, the crushed solid waste sample is the solid waste sample that has been cracked after being subjected to pressure by the pressure testing machine.

[0045] Exemplarily, place the crushed solid waste sample on a square-hole sieve. At the same time, the square-hole sieve vibrates at a certain frequency, and the debris passing through the square-hole sieve is collected to obtain sample debris. The mass of the undersize debris refers to the mass of the sample debris. The crushing index reflects the pressure-bearing capacity of the solid waste sample. The larger the crushing index, the weaker the pressure-bearing capacity of the solid waste sample.

[0046] Specifically, the detection of the solid waste sample using an ultrasonic detector to obtain the sample density includes: Grind the solid waste sample to obtain a ground sample; Identify four corresponding measuring point groups on the ground sample, and perform the following operations on each corresponding measuring point group in the four corresponding measuring point groups: Detect the ground sample based on the corresponding measuring point group and the ultrasonic detector to obtain a measuring point waveform diagram, and obtain the first arrival time and the measuring point energy integral according to the measuring point waveform diagram. Among them, the ultrasonic detector includes: a transmitting probe and a receiving probe; Summarize the first arrival times to obtain multiple first arrival times, and confirm the average arrival time based on the multiple first arrival times. Among them, the average arrival time is the average value of the multiple first arrival times; Summarize the measuring point energy integrals to obtain multiple measuring point energy integrals, and confirm the average energy integral based on the multiple measuring point energy integrals. Among them, the average energy integral is the average value of the multiple measuring point energy integrals; Calculate the sample density according to the average arrival time, the average energy integral and the initial side length. The calculation formula is as follows:

[0047] Among them, represents the sample density, represents the initial side length, represents the average arrival time, represents the average energy integral, is a preset first ultrasonic parameter.

[0048] It should be explained that grinding the solid waste sample means: using sandpaper to grind the surface of the solid waste sample, so as to avoid the rough surface of the solid waste sample affecting the detection process of the ultrasonic detector during subsequent detection of the solid waste sample. The polished sample means: the solid waste sample after being polished.

[0049] Specifically, four corresponding measuring point groups are identified on the polished sample, including: Based on the polished sample, the sample vertex is confirmed, where the sample vertex is any vertex of the cube corresponding to the polished sample; Based on the sample vertex, the first adjacent edge, the second adjacent edge and the third adjacent edge are confirmed; Based on the sample vertex and the first adjacent edge, the first adjacent point is confirmed, where the distance between the first adjacent point and the sample vertex is the initial side length and the first adjacent point is located on the first adjacent edge; Based on the sample vertex and the second adjacent edge, the second adjacent point is confirmed, and based on the sample vertex and the third adjacent edge, the third adjacent point is confirmed; Based on the sample vertex, the first adjacent point, the second adjacent point and the third adjacent point, a coordinate system is established, where the sample vertex is used as the origin of the space rectangular coordinate system, the direction from the sample vertex to the first adjacent point is the positive x-axis direction, the direction from the sample vertex to the second adjacent point is the positive y-axis direction, and the direction from the sample vertex to the third adjacent point is the positive z-axis direction; Based on the polished sample, the sample bottom surface is confirmed, where the sample bottom surface is the bottom surface of the cube corresponding to the polished sample; Based on the sample bottom surface, the center point of the bottom surface, the upper left vertex of the bottom surface, the lower left vertex of the bottom surface, the upper right vertex of the bottom surface and the lower right vertex of the bottom surface are confirmed, where the center point of the bottom surface is located at the geometric center of the sample bottom surface; Based on the upper left vertex of the bottom surface and the center point of the bottom surface, the first test point is confirmed, where the first test point is the midpoint between the upper left vertex of the bottom surface and the center point of the bottom surface; Based on the lower left vertex of the bottom surface and the center point of the bottom surface, the second test point is confirmed, based on the upper right vertex of the bottom surface and the center point of the bottom surface, the third test point is confirmed, and based on the lower right vertex of the bottom surface and the center point of the bottom surface, the fourth test point is confirmed; Based on the polished sample and the sample bottom surface, the sample top surface is confirmed, where the sample top surface is the surface parallel to the sample bottom surface among the six surfaces of the cube corresponding to the polished sample; Based on the first test point and the sample top surface, the first corresponding point is confirmed, where the distance between the first corresponding point and the first test point is the initial side length and the first corresponding point is located on the sample top surface; Combine the first corresponding point with the first test point to obtain the first corresponding measurement point group; Based on the second test point and the top surface of the sample, confirm the second corresponding measurement point group. Based on the third test point and the top surface of the sample, confirm the third corresponding measurement point group. Based on the fourth test point and the top surface of the sample, confirm the fourth corresponding measurement point group; Based on the first corresponding measurement point group, the second corresponding measurement point group, the third corresponding measurement point group, and the fourth corresponding measurement point group, four corresponding measurement point groups are confirmed. Among them, the corresponding measurement point groups in the four corresponding measurement point groups are the first corresponding measurement point group, the second corresponding measurement point group, the third corresponding measurement point group, or the fourth corresponding measurement point group. Among them, the corresponding measurement point group includes: the target bottom measurement point and the target top measurement point, and the target bottom side point is the first test point in the first corresponding measurement point group, the second test point in the second corresponding measurement point group, the third test point in the third corresponding measurement point group, or the fourth test point in the fourth corresponding measurement point group. The target top measurement point is the first corresponding point in the first corresponding measurement point group, the second corresponding point in the second corresponding measurement point group, the third corresponding point in the third corresponding measurement point group, or the fourth corresponding point in the fourth corresponding measurement point group.

[0050] It should be explained that the first adjacent side, the second adjacent side, and the third adjacent side are three sides on the polished sample adjacent to the sample vertex. The bottom left upper vertex, the bottom left lower vertex, the bottom right upper vertex, and the bottom right lower vertex respectively refer to: the vertex at the upper left corner of the sample bottom surface, the vertex at the lower left corner of the sample bottom surface, the vertex at the upper right corner of the sample bottom surface, and the vertex at the lower right corner of the sample bottom surface.

[0051] It should be understood that the method of confirming the second adjacent point based on the sample vertex and the second adjacent side and the method of confirming the third adjacent point based on the sample vertex and the third adjacent side are both the same as the method of confirming the first adjacent point based on the sample vertex and the first adjacent side, and will not be elaborated here. The method of confirming the second test point based on the bottom left lower vertex and the center point of the bottom surface, the method of confirming the third test point based on the bottom right upper vertex and the center point of the bottom surface, and the method of confirming the fourth test point based on the bottom right lower vertex and the center point of the bottom surface are all the same as the method of confirming the first test point based on the bottom left upper vertex and the center point of the bottom surface, and will not be elaborated here. The method of confirming the second corresponding measurement point group based on the second test point and the top surface of the sample, the method of confirming the third corresponding measurement point group based on the third test point and the top surface of the sample, and the method of confirming the fourth corresponding measurement point group based on the fourth test point and the top surface of the sample are all the same as the method of confirming the first corresponding measurement point group using the first test point and the top surface of the sample, and will not be elaborated here.

[0052] Specifically, detecting the polished sample based on the corresponding measurement point group and the ultrasonic detector to obtain a measurement point waveform diagram, including: Fix the transmitting probe of the ultrasonic detector at the target bottom measurement point of the corresponding measurement point group and fix the ultrasonic receiving probe at the target top measurement point of the corresponding measurement point group to obtain the target ultrasonic detector; Start the target ultrasonic detector, record the time in real time starting from the time when the target ultrasonic detector is started, and obtain the test time; Use the started target ultrasonic detector to perform ultrasonic detection on the polished sample. When the test time reaches the preset test time threshold, turn off the target ultrasonic detector to obtain the measured point waveform diagram.

[0053] Exemplarily, if the time when the target ultrasonic detector is started is 10:00:00, then at 10:00:02, the test time is 2 seconds, and at 10:00:03, the test time is 3 seconds. Optionally, the test time threshold is 10 seconds.

[0054] It should be understood that the transmitting probe of the ultrasonic detector is used to transmit ultrasonic waves, and the receiving probe of the ultrasonic detector is used to receive ultrasonic waves. When the receiving probe of the ultrasonic waves continuously receives ultrasonic waves for a period of time, the ultrasonic waves received during this period of time will be converted into a digital signal, and then the digital signal will be converted into the form of a waveform diagram. The waveform diagram is the measured point waveform diagram. And the technology of converting the received ultrasonic waves into a digital signal and then converting the digital signal into a waveform diagram is the prior art and will not be elaborated here. Among them, the measured point waveform diagram includes: the horizontal axis, the vertical axis and the waveform curve. The horizontal axis represents time, and the vertical axis represents the intensity of the received ultrasonic wave signal. The waveform curve is a curve representing the change trend of the ultrasonic wave intensity. There are multiple wave peaks and wave valleys on the waveform curve. These wave peaks and wave valleys correspond to various events encountered when the ultrasonic wave propagates in the polished sample. For example, after the emitted ultrasonic wave enters the polished sample, due to the existence of a large number of micro-pores and cracks inside the polished sample, when the ultrasonic wave propagates inside the polished sample, some sound waves will be reflected back when they contact the micro-pores or cracks. Therefore, the receiving probe will gradually receive the direct ultrasonic wave and the reflected ultrasonic wave within a period of time. The first wave peak on the waveform curve reflects the intensity of the ultrasonic wave that reaches the receiving probe directly without any reflection, and the subsequent multiple wave peaks respectively reflect the intensities of multiple reflected waves generated when the ultrasonic wave is reflected multiple times. And the energy of the ultrasonic wave will be lost during the reflection process, that is, the intensity shown on the waveform diagram will decrease accordingly. Therefore, by calculating the area enclosed by the waveform curve and the horizontal axis, that is, the measured point energy integral, when the measured point energy integral is larger, it means that the energy lost by the ultrasonic wave due to reflection in the polished sample is less, and further reflects that there are fewer defects such as cracks and pores in the polished sample. Therefore, the sample density calculated by using the measured point energy integral reflects the internal density of the polished sample. The larger the sample density, the greater the internal density of the polished sample. Among them, the first wave arrival time is the time corresponding to the first wave peak on the horizontal axis of the waveform curve. The first ultrasonic parameter is a parameter related to the frequency of the ultrasonic wave emitted by the ultrasonic detector. Optionally, the initial length is 10 cm and the first ultrasonic parameter is 5.

[0055] Specifically, the calculation formula for the recycling qualification degree is as follows:

[0056] Wherein, represents the recycling qualification degree, is the natural logarithm, is the preset reference value of the crushing index.

[0057] It should be understood that since the uniformity coefficient reflects the uniformity of the internal components of the solid waste sample, the crushing index reflects the pressure-bearing capacity of the solid waste sample, and the sample density reflects the internal density of the polished sample, the recycling qualification degree calculated using the uniformity coefficient, crushing index, and sample density reflects the quality and performance of the solid waste sample. When the recycling qualification degree is higher, the quality and performance of the solid waste sample are better, and thus the recyclable value of the construction solid waste corresponding to the solid waste sample is higher.

[0058] It can be understood that since the crushing index reflects the pressure-bearing capacity of the solid waste sample, when the crushing index is too high, the pressure-bearing capacity of the construction solid waste corresponding to the solid waste sample is too low, resulting in insufficient pressure resistance of the wallboard produced after recycling. When the crushing index is too low, the pressure resistance of the construction solid waste corresponding to the solid waste sample is too high, and since the construction solid waste corresponding to the solid waste sample needs to be crushed for further recycling later, it is difficult to crush and recycle the construction solid waste. Therefore, a reference value of the crushing index is set here. The closer the crushing index is to the reference value, the higher the recycling qualification degree. The reference value of the crushing index is a value artificially set by the staff of the concrete wallboard production factory according to the physical properties of the construction solid waste. Optionally, the average value of the crushing indexes of multiple historically recycled qualified construction solid wastes is used as the reference value of the crushing index.

[0059] S3. If the recycling qualification degree is greater than the qualification threshold, then use the construction solid waste as recycled concrete and summarize the recycled concrete to obtain a set of recycled concrete.

[0060] It should be explained that recycled concrete refers to construction solid waste with a recycling qualification degree greater than the qualification threshold, and the set of recycled concrete is a set composed of recycled concrete. The qualification threshold is a value artificially set by the staff of the concrete wallboard production factory. Optionally, the average value of the recycling qualification degrees of multiple historically recycled qualified construction solid wastes is used as the qualification threshold.

[0061] S4. Crush and wash the set of recycled concrete to obtain initial aggregates, and sample the initial aggregates to obtain aggregate samples.

[0062] It should be explained that crushing and cleaning the recycled concrete aggregate means: using a jaw crusher to uniformly crush all the recycled concrete in the recycled concrete aggregate to obtain multiple granular stones, and using a flushing device to wash the multiple granular stones to remove the powder and impurities adhering to the surface of the granular stones during the crushing process, and taking the multiple washed granular stones as the initial aggregate. The sampling of the initial aggregate to obtain an aggregate sample means: extracting a certain mass of the initial aggregate as the aggregate sample.

[0063] S5. Obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: Based on the comprehensive test group and the carbonation chamber, conduct carbonation analysis on the aggregate sample to obtain a sample carbonation value, summarize the sample carbonation values to obtain n sample carbonation values, and confirm the sample maximum value based on the n sample carbonation values, where the sample maximum value is the maximum value among the n sample carbonation values, and take the comprehensive test group corresponding to the sample maximum value as the best test group.

[0064] Specifically, the obtaining of n comprehensive test groups includes: Confirm the temperature control range and concentration control range of the carbonation chamber, uniformly sample the temperature control range based on a preset first sampling interval to obtain i temperature test values, and uniformly sample the concentration control range based on a preset second sampling interval to obtain j concentration test values; Use the i temperature test values and the j concentration test values to obtain n comprehensive test groups, where n = i × j, and each of the n comprehensive test groups includes: one temperature test value and one concentration test value.

[0065] It should be explained that the temperature control range is the temperature adjustment range allowed by the carbonation chamber, and the concentration control range is the carbon dioxide concentration adjustment range allowed by the carbonation chamber. Optionally, the first sampling interval is 1 °C, and the second sampling interval is 5%.

[0066] Exemplarily, the temperature control range of the carbonation chamber is 15 - 20 °C, the first sampling interval is 1 °C, uniformly sample the temperature control range to obtain 6 temperature test values: {15 °C, 16 °C... 20 °C}, the concentration control range of the carbonation chamber is 10 - 30%, the second sampling interval is 5%, uniformly sample the concentration control range to obtain 5 concentration test values: {10%, 15%... 30%}, and cross - combine the 6 temperature test values and the 5 concentration test values to obtain 30 comprehensive test groups: {(15 °C, 10%),(16 °C, 10%)…(20 °C, 30%)}.

[0067] Specifically, the conducting of carbonation analysis on the aggregate sample based on the comprehensive test group and the carbonation chamber to obtain a sample carbonation value includes: Use a pressure testing machine to perform a test operation on the aggregate sample to obtain the compressive strength before carbonization; Input the temperature test value and concentration test value in the comprehensive test group into the carbonization chamber to obtain the target carbonization chamber; Start the target carbonization chamber, and use the started target carbonization chamber to carbonize the aggregate sample to obtain a carbonized sample; Use a pressure testing machine to perform a test operation on the carbonized sample to obtain the compressive strength after carbonization; Calculate the sample carbonization value according to the compressive strength of the aggregate before carbonization and the compressive strength of the aggregate after carbonization. The calculation formula is as follows:

[0068] Wherein, represents the sample carbonization value, represents the compressive strength of the aggregate after carbonization, represents the compressive strength of the aggregate before carbonization.

[0069] It should be explained that using a pressure testing machine to perform a test operation on the aggregate sample means: using a pressure testing machine to test the compressive strength of the aggregate sample. The compressive strength before carbonization means: the compressive strength of the aggregate sample. Using the started target carbonization chamber to carbonize the aggregate sample means: using the started target carbonization chamber to perform concrete carbonization on the aggregate sample. The carbonized sample means: the aggregate sample after concrete carbonization. The compressive strength after carbonization means: the compressive strength of the carbonized sample. The sample carbonization value reflects the change degree of the compressive strength of the aggregate sample after carbonization. The larger the sample carbonization value, the greater the change degree of the compressive strength of the aggregate sample after carbonization.

[0070] It should be understood that since performing concrete carbonization on the aggregate sample can improve the compressive ability of the aggregate sample, but under different temperature conditions and different carbon dioxide concentration conditions, the effect of the carbonization chamber performing concrete carbonization on the aggregate sample is different. Therefore, in the embodiments of the present invention, by setting multiple comprehensive test groups, the change degree of the compressive strength of the aggregate sample before and after concrete carbonization is tested under different temperature conditions and different carbon dioxide concentration conditions, and then the comprehensive test group corresponding to the largest change degree of the compressive strength is screened out. That is, under the temperature and carbon dioxide concentration conditions corresponding to this comprehensive test group, the improvement effect of the compressive ability of the aggregate sample after concrete carbonization is better.

[0071] S6. Based on the best test group and the carbonization chamber, perform carbonization treatment on the initial aggregate to obtain recycled aggregate.

[0072] It should be understood that the method of carbonizing the initial aggregate based on the best test group and the carbonization chamber to obtain recycled aggregate is the same as the method of carbonizing the aggregate sample using the activated target carbonization chamber to obtain the carbonized sample, which will not be elaborated here.

[0073] S7. Conduct a water absorption performance test on the recycled aggregate to obtain the water absorption rate, and calculate the addition amount of the recycled aggregate according to the water absorption rate.

[0074] Specifically, the conducting of the water absorption performance test on the recycled aggregate to obtain the water absorption rate includes: Sampling the recycled aggregate to obtain a recycled aggregate sample; Performing a drying operation on the recycled aggregate sample using a pre-constructed drying oven to obtain a dried aggregate sample; Performing a weighing operation on the dried aggregate sample using an electronic balance to obtain the dry mass; Obtain a vacuum water-saturation device and distilled water; Introduce the distilled water into the vacuum water-saturation device to obtain a target vacuum water-saturation device; Start the target vacuum water-saturation device, and use the activated target vacuum water-saturation device to perform a water-saturation treatment on the dried aggregate sample to obtain a saturated aggregate sample; Performing a weighing operation on the saturated aggregate sample using an electronic balance to obtain the saturated mass; Calculate the water absorption rate according to the dry mass and the saturated mass. The calculation formula is as follows:

[0075] Wherein, represents the water absorption rate, represents the saturated mass, represents the dry mass.

[0076] It should be explained that the drying oven is an instrument for drying the recycled aggregate samples. The sampling of the recycled aggregate to obtain the recycled aggregate samples means: extracting a certain mass of recycled aggregate as the recycled aggregate samples. The drying operation of the recycled aggregate samples using the pre-constructed drying oven means: placing the recycled aggregate samples in the drying oven and allowing the drying oven to dry the recycled aggregate at a certain temperature. Among them, the drying time for the drying oven to dry the recycled aggregate is preset, and the specific drying time is manually set by the staff of the concrete wall panel production factory. The dried aggregate samples refer to the recycled aggregate samples after drying. The dry mass refers to the mass of the dried aggregate samples. The vacuum saturation device is a concrete intelligent vacuum saturation machine. Optionally, the NJ-BSJ type concrete intelligent vacuum saturation machine is used as the vacuum saturation device. The target vacuum saturation device refers to the vacuum saturation device into which distilled water is introduced. The saturation treatment of the dried aggregate samples using the started target vacuum saturation device means: creating an environment close to vacuum using the started vacuum saturation device and allowing the recycled aggregate to gradually absorb water while being immersed in the distilled water of the vacuum saturation device in an environment close to vacuum. Among them, the immersion time for the recycled aggregate to be immersed in the distilled water of the vacuum saturation device is preset, and the immersion time is manually set by the staff of the concrete wall panel production factory. The saturated aggregate samples refer to the recycled aggregate samples after the saturation treatment, and the saturated mass refers to the mass of the saturated aggregate samples. The water absorption rate reflects the water absorption capacity of the recycled aggregate samples. The greater the water absorption rate, the stronger the water absorption capacity of the recycled aggregate samples.

[0077] Specifically, the calculation formula for the addition amount of recycled aggregate is as follows:

[0078] Wherein, represents the addition amount of recycled aggregate, is the preset initial water absorption rate, is the preset initial proportion parameter, is the hyperbolic tangent function.

[0079] It should be explained that the addition amount of recycled aggregate refers to the addition ratio of recycled aggregate when manufacturing the target concrete wall panel later. The initial proportion parameter is a value manually set by the staff of the concrete wall panel production factory according to the composition of the raw materials. Optionally, the initial proportion parameter is 2. The initial water absorption rate is related to the water-binder ratio of the target concrete used by the factory in the production of concrete wall panels. Preferably, the initial water absorption rate is 10% of the water-binder ratio.

[0080] It should be understood that the water absorption rate reflects the water absorption capacity of recycled aggregates, and the water-binder ratio of the target concrete used by the factory in the production of concrete wall panels is usually fixed. In order to ensure that the target concrete obtained by mixing the target materials and recycled aggregates subsequently meets the water-binder ratio standard required by the factory, the embodiments of the present invention calculate the ideal addition amount of recycled aggregates in advance through the water absorption rate.

[0081] S8. Based on the addition amount of recycled aggregates and the recycled aggregates, obtain the target concrete wall panel to complete the optimization of the production process of the concrete wall panel.

[0082] Specifically, the obtaining of the target concrete wall panel based on the addition amount of recycled aggregates and the recycled aggregates includes: Obtain a mixer and raw materials; Weigh the recycled aggregates using an electronic balance to obtain the mass of the recycled aggregates; Calculate the remaining mass according to the addition amount of recycled aggregates and the mass of the recycled aggregates. The calculation formula is as follows:

[0083] Wherein, represents the remaining mass, represents the mass of the recycled aggregates; Extract the target materials from the raw materials based on the remaining mass, wherein the mass of the target materials is the remaining mass; Use the mixer to mix and stir the target materials and the recycled aggregates to obtain the target concrete; Perform pouring and cutting treatments on the target concrete to obtain the target concrete wall panel.

[0084] It should be explained that the mixer is a machine that mixes and stirs the recycled aggregates and the raw materials into concrete. Optionally, a JS500 - 3000 type concrete mixer is used as the mixer. The raw materials refer to other materials required for mixing the target concrete except for the recycled aggregates, such as cement, water, fine aggregates, water reducers, and retarders, and the specific proportions of cement, water, fine aggregates, water reducers, and retarders in the raw materials are artificially set in advance by the concrete production factory. The mass of the recycled aggregates refers to the mass of the recycled aggregates used for mixing the target concrete. The extracting of the target materials from the raw materials based on the remaining mass means extracting the raw materials with a mass equal to the remaining mass to obtain the target materials.

[0085] The step of using a mixer to stir and mix target materials and recycled aggregates to obtain target concrete means: adding the target materials and recycled aggregates into a mixer, and using the mixer to stir the target materials and recycled aggregates. Specifically, the stirring time is manually set by the staff in the concrete wall panel production factory. Target concrete refers to the concrete obtained by stirring and mixing recycled aggregates and target materials. The steps of pouring and cutting the target concrete mean: pouring the target concrete into a pre-constructed mold, and after it solidifies, cutting it into concrete wall panels with specific shapes required by the factory. The concrete wall panels are the target concrete wall panels.

[0086] To solve the problems described in the background art, the present invention obtains a set of construction solid waste and a carbonization tank. Among them, the set of construction solid waste includes: a plurality of construction solid wastes. It can be seen that by pre-obtaining the set of construction solid waste and the carbonization tank in the embodiments of the present invention, it is convenient to subsequently sample the solid waste and carbonize the initial aggregate, improve the material properties of the initial aggregate, and improve the automation degree of recycling lightweight aggregates. Then, the following operations are performed on each construction solid waste in the set of construction solid waste: Sampling the construction solid waste to obtain a solid waste sample. Among them, the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length. It can be seen that by sampling each solid waste in the set of construction solid waste in the embodiments of the present invention, it is convenient to subsequently screen out the construction solid waste that can be recycled according to the test results of the solid waste sample. Conducting a crack scanning analysis on the solid waste sample to obtain a recycling qualification degree, comparing the recycling qualification degree with a preset qualification threshold. If the recycling qualification degree is greater than the qualification threshold, the construction solid waste is used as recycled concrete. It can be seen that in the embodiments of the present invention, by conducting a crack scanning analysis on the solid waste sample, the uniformity coefficient, crushing index, and sample density of the solid waste sample are obtained, and the recycling qualification degree is calculated through the uniformity coefficient, crushing index, and sample density. The influence of multiple factors on the recycling qualification degree is jointly considered, and by comparing the recycling qualification degree with the preset qualification threshold, it is automatically evaluated whether the construction solid waste meets the recycling standard, improving the automation degree of recycling lightweight aggregates. Summarizing the recycled concrete to obtain a set of recycled concrete, crushing and cleaning the set of recycled concrete to obtain initial aggregates, sampling the initial aggregates to obtain aggregate samples, obtaining n comprehensive test groups, and performing the following operations on each comprehensive test group in the n comprehensive test groups: Conducting a carbonization analysis on the aggregate samples based on the comprehensive test group and the carbonization tank to obtain sample carbonization values, summarizing the sample carbonization values to obtain a plurality of sample carbonization values, and based on the plurality of sample carbonization values, identifying the sample maximum value, where the sample maximum value is the maximum value among the plurality of sample carbonization values. The comprehensive test group corresponding to the sample maximum value is used as the best test group. It can be seen that in the embodiments of the present invention, by setting a plurality of comprehensive test groups, the change degree of the compressive strength of the aggregate samples before and after concrete carbonization under different temperature conditions and different carbon dioxide concentration conditions is tested, and then the comprehensive test group corresponding to the maximum change degree of the compressive strength is screened out, which is convenient for subsequently carbonizing the initial aggregates using this comprehensive test group, thereby improving the effect of concrete carbonization and improving the product quality of the finally produced concrete wall panels. Conducting a carbonization treatment on the initial aggregates based on the best test group and the carbonization tank to obtain recycled aggregates. It can be seen that in the embodiments of the present invention, the initial aggregates are carbonized using the optimal temperature test value and concentration test value in the best test group, thereby effectively improving the compressive strength of the initial aggregates and further improving the product quality of the finally produced concrete wall panels. Conducting a water absorption performance test on the recycled aggregates to obtain a water absorption rate.Calculate the addition amount of recycled aggregate according to the water absorption rate, and obtain the target concrete wallboard based on the addition amount of recycled aggregate and the recycled aggregate, so as to complete the optimization of the production process of the concrete wallboard. It can be seen that in the embodiment of the present invention, by testing the water absorption performance of the recycled aggregate, the ideal addition amount of the recycled aggregate is accurately determined, and the target concrete wallboard is produced based on the addition amount of the recycled aggregate and the recycled aggregate, thereby improving the product quality of the produced concrete wallboard. Therefore, the present invention can improve the automation degree of recycling lightweight aggregate and improve the product quality of the finally produced concrete wallboard.

[0087] As Figure 2 shown, it is a functional module diagram of a production process optimization system for recycled lightweight aggregate concrete wallboards provided by an embodiment of the present invention.

[0088] The production process optimization system 100 for recycled lightweight aggregate concrete wallboards according to the present invention can be installed in an electronic device. According to the functions achieved, the production process optimization system 100 for recycled lightweight aggregate concrete wallboards can include a solid waste analysis module 101, a waste crushing and cleaning module 102, an aggregate carbonization treatment module 103, and a wallboard pouring and production module 104. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0089] The solid waste analysis module 101 is used to obtain a building solid waste set and a carbonization tank. Among them, the building solid waste set includes: a plurality of building solid wastes, and the following operations are performed on each building solid waste in the building solid waste set: sampling the building solid waste to obtain a solid waste sample, wherein the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length, performing crack scanning and analysis on the solid waste sample to obtain a recycling qualification degree, comparing the recycling qualification degree with a preset qualification threshold, and if the recycling qualification degree is greater than the qualification threshold, using the building solid waste as recycled concrete, and summarizing the recycled concrete to obtain a recycled concrete set; The waste crushing and cleaning module 102 is used to crush and clean the recycled concrete set to obtain initial aggregates, and sample the initial aggregates to obtain aggregate samples; The aggregate carbonization processing module 103 is used to obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: perform carbonization analysis on the aggregate samples based on the comprehensive test groups and the carbonization chamber to obtain sample carbonization values, summarize the sample carbonization values to obtain n sample carbonization values, and confirm the sample maximum value based on the n sample carbonization values, where the sample maximum value is the maximum value among the n sample carbonization values. The comprehensive test group corresponding to the sample maximum value is used as the best test group, and the initial aggregate is carbonized based on the best test group and the carbonization chamber to obtain recycled aggregate; The wall panel pouring and production module 104 is used to test the water absorption performance of the recycled aggregate to obtain the water absorption rate, calculate the recycled aggregate addition amount according to the water absorption rate, and obtain the target concrete wall panel based on the recycled aggregate addition amount and the recycled aggregate, thereby completing the optimization of the production process of the concrete wall panel.

[0090] Specifically, when the various modules in the recycled lightweight aggregate concrete wall panel production process optimization system 100 in the embodiments of the present invention are used, they adopt the same technical means as those in the Figure 1 recycled lightweight aggregate concrete wall panel production process optimization method described above, and can produce the same technical effects, which will not be elaborated here.

[0091] As Figure 3 shown, it is a schematic structural diagram of an electronic device for implementing the recycled lightweight aggregate concrete wall panel production process optimization method provided by an embodiment of the present invention.

[0092] The electronic device 1 may include a processor 10, a memory 11, and a bus 12, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as a recycled lightweight aggregate concrete wall panel production process optimization method program.

[0093] Among them, the memory 11 at least includes one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disc, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as the mobile hard disk of the electronic device 1. In some other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1. Further, the memory 11 also includes the internal storage unit of the electronic device 1 and also includes an external storage device. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as the code of the production process optimization method program for recycled lightweight aggregate concrete wall panels, etc., but also be used to temporarily store data that has been output or will be output.

[0094] In some embodiments, the processor 10 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions packaged, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and lines, and by running or executing programs or modules stored in the memory 11 (such as the production process optimization method program for recycled lightweight aggregate concrete wall panels, etc.), and calling the data stored in the memory 11, to execute various functions of the electronic device 1 and process data.

[0095] The bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is set to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0096] Figure 3 Only the electronic device with components is shown. Those skilled in the art can understand that, Figure 3The structures shown do not constitute a limitation on the electronic device 1, and it may include fewer or more components than those shown, or combine certain components, or have different component arrangements.

[0097] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component. Preferably, the power source can be logically connected to the at least one processor 10 through a power management device, so as to implement functions such as charging management, discharging management, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or inverter, and a power status indicator. The electronic device 1 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0098] Furthermore, the electronic device 1 may further include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0099] Optionally, the electronic device 1 may further include a user interface. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visual user interface.

[0100] The program of the method for optimizing the production process of recycled lightweight aggregate concrete wall panels stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: Obtain a set of construction solid waste and a carbonization box, where the set of construction solid waste includes: multiple construction solid wastes; Perform the following operations on each construction solid waste in the set of construction solid waste: Take a sample of the construction solid waste to obtain a solid waste sample, where the shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length; Perform crack scanning analysis on the solid waste sample to obtain a recycling qualification degree, and compare the recycling qualification degree with a preset qualification threshold; If the recycling qualification degree is greater than the qualification threshold, the building solid waste is used as recycled concrete; Summarize the recycled concrete to obtain a set of recycled concrete; Crush and wash the set of recycled concrete to obtain initial aggregates, and sample the initial aggregates to obtain aggregate samples; Obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: Based on the comprehensive test group and the carbonation box, perform carbonation analysis on the aggregate samples to obtain sample carbonation values; Summarize the sample carbonation values to obtain n sample carbonation values, and confirm the sample maximum value based on the n sample carbonation values, where the sample maximum value is the maximum value among the n sample carbonation values; Take the comprehensive test group corresponding to the sample maximum value as the best test group; Based on the best test group and the carbonation box, perform carbonation treatment on the initial aggregates to obtain recycled aggregates; Test the water absorption performance of the recycled aggregates to obtain the water absorption rate, and calculate the addition amount of the recycled aggregates according to the water absorption rate; Based on the addition amount of the recycled aggregates and the recycled aggregates, obtain the target concrete wall panel, and complete the optimization of the production process of the concrete wall panel.

[0101] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiment will not be repeated here.

[0102] Furthermore, if the modules / units integrated in the electronic device 1 are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory).

[0103] The present invention also provides a computer-readable storage medium, and the readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, it can implement: Obtain a set of building solid waste and a carbonation box, where the set of building solid waste includes: a plurality of building solid wastes; Perform the following operations on each building solid waste in the set of building solid waste: Take samples of construction solid waste to obtain solid waste samples. Among them, the shape of the solid waste samples is a cube, and the side length of the solid waste samples is the preset initial side length; Perform crack scanning analysis on the solid waste samples to obtain the recycling qualification degree, and compare the recycling qualification degree with the preset qualification threshold; If the recycling qualification degree is greater than the qualification threshold, use the construction solid waste as recycled concrete; Summarize the recycled concrete to obtain a set of recycled concrete; Crush and wash the set of recycled concrete to obtain initial aggregates, and take samples of the initial aggregates to obtain aggregate samples; Obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: Perform carbonation analysis on the aggregate samples based on the comprehensive test groups and the carbonation chamber to obtain the sample carbonation value; Summarize the sample carbonation values to obtain n sample carbonation values, and confirm the sample maximum value based on the n sample carbonation values. Among them, the sample maximum value is the maximum value among the n sample carbonation values; Use the comprehensive test group corresponding to the sample maximum value as the best test group; Perform carbonation treatment on the initial aggregates based on the best test group and the carbonation chamber to obtain recycled aggregates; Test the water absorption performance of the recycled aggregates to obtain the water absorption rate, and calculate the addition amount of the recycled aggregates according to the water absorption rate; Based on the addition amount of the recycled aggregates and the recycled aggregates, obtain the target concrete wall panel, and complete the optimization of the production process of the concrete wall panel.

[0104] In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and there may be other division methods in actual implementation.

[0105] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, the functional modules in each embodiment of the present invention can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional modules.

[0107] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An optimization method for the production process of recycled lightweight aggregate concrete wall panels, characterized in that, The method includes: Obtain a set of construction solid waste and a carbonization tank. The set of construction solid waste includes multiple construction solid wastes. Perform the following operations on each construction solid waste in the set of construction solid waste: Take a sample of the construction solid waste to obtain a solid waste sample. The shape of the solid waste sample is a cube, and the side length of the solid waste sample is a preset initial side length. Perform crack scanning analysis on the solid waste sample to obtain a recycling qualification degree, and compare the recycling qualification degree with a preset qualification threshold. If the recycling qualification degree is greater than the qualification threshold, use the construction solid waste as recycled concrete. Summarize the recycled concrete to obtain a set of recycled concrete. Crush and wash the set of recycled concrete to obtain initial aggregates, and take a sample of the initial aggregates to obtain an aggregate sample. Obtain n comprehensive test groups, and perform the following operations on each of the n comprehensive test groups: Perform carbonization analysis on the aggregate sample based on the comprehensive test group and the carbonization tank to obtain a sample carbonization value. Summarize the sample carbonization values to obtain n sample carbonization values, and confirm a sample maximum value based on the n sample carbonization values. The sample maximum value is the maximum value among the n sample carbonization values. Use the comprehensive test group corresponding to the sample maximum value as the best test group. Perform carbonization treatment on the initial aggregates based on the best test group and the carbonization tank to obtain recycled aggregates. Perform a water absorption performance test on the recycled aggregates to obtain a water absorption rate, and calculate the recycled aggregate addition amount according to the water absorption rate. Obtain a target concrete wall panel based on the recycled aggregate addition amount and the recycled aggregates, and complete the optimization of the production process of the concrete wall panel.

2. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 1, characterized in that, The performing crack scanning analysis on the solid waste sample to obtain a recycling qualification degree includes: Obtain an electronic balance, a square-hole sieve, a pressure testing machine, and an ultrasonic detector. The aperture of the square-hole sieve is a preset initial aperture. Perform a cutting operation on the solid waste sample to obtain multiple cutting samples. The shape of each cutting sample is a cube, and the side length of the cutting sample is one-fourth of the initial side length. Perform the following operations on each of the multiple cutting samples: Use the electronic balance to weigh the cutting sample to obtain the cutting sample mass. Summarize the cutting sample masses to obtain multiple cutting sample masses. Calculate the cutting average mass using the multiple cutting sample masses. The cutting average mass is the average value of the multiple cutting sample masses. Calculate the uniformity coefficient according to the multiple cutting sample masses. The calculation formula is as follows: Among them, represents the uniformity coefficient, represents the cutting average quality, represents the th cutting sample quality among multiple cutting sample qualities, is the number of cutting sample qualities among multiple cutting sample qualities; Use the electronic balance to weigh the solid waste sample to obtain the original mass. Use the pressure testing machine to perform a pressure test on the solid waste sample to obtain a crushed solid waste sample. An initial pressure is preset when the pressure testing machine performs a pressure test on the mold of the sample to be tested. Use the square-hole sieve to screen the crushed solid waste sample to obtain sample debris. Use the electronic balance to weigh the sample debris to obtain the mass of the sifted debris. Calculate the crushing index according to the original mass, the mass of the sifted debris, the initial aperture, and the initial pressure. The calculation formula is as follows: Among them, represents the crushing index, represents the mass of the undersize debris, represents the original mass, represents the initial pressure, represents the initial aperture; Use the ultrasonic detector to detect the solid waste sample to obtain the sample density. Calculate the recovery qualification degree according to the uniformity coefficient, crushing index and sample density.

3. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 2, characterized in that The method of using an ultrasonic detector to detect a solid waste sample to obtain the sample density includes: Grind the solid waste sample to obtain a ground sample; Identify four corresponding measuring point groups on the ground sample, and perform the following operations on each corresponding measuring point group of the four corresponding measuring point groups: Detect the ground sample based on the corresponding measuring point group and the ultrasonic detector to obtain a measuring point waveform diagram, and obtain the first wave arrival time and the measuring point energy integral according to the measuring point waveform diagram. Among them, the ultrasonic detector includes: a transmitting probe and a receiving probe; Summarize the first wave arrival times to obtain multiple first wave arrival times, and confirm the average arrival time based on the multiple first wave arrival times. Among them, the average arrival time is the average value of the multiple first wave arrival times; Summarize the measuring point energy integrals to obtain multiple measuring point energy integrals, and confirm the average energy integral based on the multiple measuring point energy integrals. Among them, the average energy integral is the average value of the multiple measuring point energy integrals; Calculate the sample density according to the average arrival time, the average energy integral and the initial side length. The calculation formula is as follows: Among them, represents the sample density, represents the initial side length, represents the average arrival time, represents the average energy integral, is a preset first ultrasonic parameter.

4. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 3, characterized in that, The calculation formula of the recovery qualification degree is as follows: Among them, represents the recycling qualification degree, is the natural logarithm, is the preset reference value of the crushing index.

5. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 4, characterized in that The method of obtaining n comprehensive test groups includes: Confirm the temperature control range and concentration control range of the carbonization box, uniformly sample the temperature control range based on a preset first sampling interval to obtain i temperature test values, and uniformly sample the concentration control range based on a preset second sampling interval to obtain j concentration test values; Use the i temperature test values and the j concentration test values to obtain n comprehensive test groups. Among them, n = i × j, and each comprehensive test group in the n comprehensive test groups includes: a temperature test value and a concentration test value.

6. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 5, characterized in that The method of performing carbonization analysis on the aggregate sample based on the comprehensive test group and the carbonization box to obtain the sample carbonization value includes: Use a pressure testing machine to perform a test operation on the aggregate sample to obtain the compressive strength before carbonization; Input the temperature test value and the concentration test value in the comprehensive test group into the carbonization box to obtain a target carbonization box; Start the target carbonization box, and use the started target carbonization box to perform carbonization treatment on the aggregate sample to obtain a carbonized sample; Use a pressure testing machine to perform a test operation on the carbonized sample to obtain the compressive strength after carbonization; Calculate the sample carbonization value according to the compressive strength of the aggregate before carbonization and the compressive strength of the aggregate after carbonization. The calculation formula is as follows: Among them, represents the sample carbonation value, represents the compressive strength of the aggregate after carbonation, represents the compressive strength of the aggregate before carbonation.

7. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 6, characterized in that, The method of testing the water absorption performance of the recycled aggregate to obtain the water absorption rate includes: Take a sample of the recycled aggregate to obtain a recycled aggregate sample; Use a pre-built drying oven to perform a drying operation on the recycled aggregate sample to obtain a dried aggregate sample; Use an electronic balance to perform a weighing operation on the dried aggregate sample to obtain the dry mass; Obtain a vacuum saturation device and distilled water; Inject distilled water into the vacuum saturation device to obtain a target vacuum saturation device; Start the target vacuum saturation device, and use the started target vacuum saturation device to perform saturation treatment on the dried aggregate sample to obtain a saturated aggregate sample; Use an electronic balance to perform a weighing operation on the saturated aggregate sample to obtain the saturated mass; The water absorption rate is calculated based on the dry mass and the saturated mass, and the calculation formula is as follows: Among them, represents the water absorption rate, represents the saturated mass, represents the dry mass.

8. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 7, characterized in that, The calculation formula for the addition amount of the recycled aggregate is as follows: Among them, represents the addition amount of recycled aggregate, is the preset initial water absorption rate, is the preset initial proportional parameter, is the hyperbolic tangent function.

9. The optimization method for the production process of recycled lightweight aggregate concrete wall panels according to claim 8, characterized in that, Obtaining the target concrete wall panel based on the addition amount of the recycled aggregate and the recycled aggregate includes: Obtaining a mixer and raw materials; Weighing the recycled aggregate using an electronic balance to obtain the mass of the recycled aggregate; Calculating the remaining mass based on the addition amount of the recycled aggregate and the mass of the recycled aggregate, and the calculation formula is as follows: Among them, represents the remaining mass, represents the mass of recycled aggregate; Extracting the target material from the raw materials based on the remaining mass, where the mass of the target material is the remaining mass; Using the mixer to stir and mix the target material and the recycled aggregate to obtain the target concrete; Performing pouring and cutting treatments on the target concrete to obtain the target concrete wall panel.

10. An optimization system for the production process of recycled lightweight aggregate concrete wall panels, characterized in that, The system includes: A solid waste analysis module for obtaining a construction solid waste set and a carbonization tank. The construction solid waste set includes a plurality of construction solid wastes. For each construction solid waste in the construction solid waste set, the following operations are performed: sampling the construction solid waste to obtain a solid waste sample, where the shape of the solid waste sample is a cube and the side length of the solid waste sample is a preset initial side length, performing crack scanning and analysis on the solid waste sample to obtain a recycling qualification degree, comparing the recycling qualification degree with a preset qualification threshold. If the recycling qualification degree is greater than the qualification threshold, the construction solid waste is used as recycled concrete, and the recycled concrete is summarized to obtain a recycled concrete set; A waste crushing and cleaning module for crushing and cleaning the recycled concrete set to obtain initial aggregates, and sampling the initial aggregates to obtain aggregate samples; An aggregate carbonization treatment module for obtaining n comprehensive test groups. For each comprehensive test group in the n comprehensive test groups, the following operations are performed: performing carbonization analysis on the aggregate samples based on the comprehensive test group and the carbonization tank to obtain sample carbonization values, summarizing the sample carbonization values to obtain n sample carbonization values, confirming the sample maximum value based on the n sample carbonization values, where the sample maximum value is the maximum value among the n sample carbonization values, using the comprehensive test group corresponding to the sample maximum value as the best test group, and performing carbonization treatment on the initial aggregates based on the best test group and the carbonization tank to obtain recycled aggregates; A wall panel pouring and production module for testing the water absorption performance of the recycled aggregates to obtain the water absorption rate, calculating the addition amount of the recycled aggregates according to the water absorption rate, and obtaining the target concrete wall panel based on the addition amount of the recycled aggregates and the recycled aggregates, thereby completing the optimization of the production process of the concrete wall panel.

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