Construction waste cyclic utilization supervision method and system

Abstract

The invention relates to the technical field of waste cyclic utilization supervision, and particularly discloses a construction waste cyclic utilization supervision method and system.The method comprises the steps that pre-stirring mode correlation characteristic values of to-be-stirred waste are analyzed, a pre-stirring mode of the to-be-stirred waste is determined, a stirrer set parameter set and a stirring mode set proportion value are determined, and the pre-stirring mode of the to-be-stirred waste is determined; the stirring stability characteristic indexes of the to-be-stirred waste in all periods are analyzed, self-adaptive stirring adjustment of the stirring machine is conducted, stirring completion judgment is conducted, if the judgment result is that the stirring machine does not complete stirring, the stirring prolonged duration is analyzed, and therefore the stirring machine is controlled to continue stirring; the pertinence and effectiveness of the stirring process can be improved, the problems of energy waste and poor stirring effect caused by unreasonable stirring parameters are reduced, in the stirring process, the stirring process is dynamically regulated and controlled, it is ensured that stirring is in a stable and efficient state all the time, and the uniformity and quality of material mixing are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of waste recycling supervision, and specifically to a method and system for supervising the recycling of construction waste. Background Art

[0002] With the booming development of the construction industry, the generation of construction waste is increasing day by day. If not properly treated, it will not only occupy a large amount of land resources, but also may cause serious pollution to the environment. In the current recycling of construction waste, as the main building material, a huge amount of waste concrete blocks are generated during the demolition or construction process. When recycling such waste, reasonable and efficient mixing is required to meet the requirements of subsequent reprocessing technology, so as to promote the efficient utilization of waste. At present, there are already some effective technologies for waste utilization.

[0003] For example, the invention patent with the publication number CN118536991B discloses a method for recycling and treating construction waste. The method includes: identifying the specification information, impurity content information and particle size distribution information of multiple pieces of waste; predicting and obtaining multiple compressive strength information; obtaining multiple corrected compressive strength information; constructing a waste performance parameter matrix, and calculating and analyzing to obtain multiple utilization performance scores; constructing a waste recycling parameter matrix, calculating and analyzing to obtain multiple recycling scores; and performing recycling treatment according to multiple corrected recycling scores.

[0004] For example, the invention patent with the publication number CN117993897B discloses an intelligent management and control method and system for the resource utilization of solid waste. The method includes step one, dividing the waste storage area, step two, classifying and recording waste, step three, pre-treating waste, step four, recycling and treating waste, and step five, reverse adjustment. By different treatment methods for different types of waste, the waste is classified and stored in the divided areas respectively. When it is detected that the discharge speed of the waste decreases or the output product does not meet the set parameters, reverse adjustment is performed.

[0005] However, in the process of implementing the embodiments of the present application, it is found that the above technologies have at least the following technical problems: The current waste recycling supervision methods usually only analyze the self-properties of construction waste. However, the material state and equipment operation parameters during the mixing process of construction waste will also show different operation characteristics, which will have a certain impact on the recycling effect. Currently, only analyzing and treating waste will make it difficult to achieve an ideal mixing effect, reducing the efficiency and quality of the recycling of construction waste. At the same time, it is impossible to scientifically optimize the mixing process and judge the mixing result based on different waste characteristics and changes in the mixing process, making it difficult to meet the actual needs of the efficient recycling of construction waste and being unfavorable to the maximum recovery of resources and the effective protection of the environment. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a method and system for supervising the recycling of construction waste, which can effectively solve the problems involved in the above-mentioned background art.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: In the first aspect of the present invention, a method for supervising the recycling of construction waste is provided, including the following steps: S1. Denote the recyclable construction waste to be stirred as waste to be stirred, obtain the characteristic parameters of the waste to be stirred, and analyze the associated characteristic values of the pre-stirring mode of the waste to be stirred.

[0008] S2. Determine the pre-stirring mode of the waste to be stirred according to the associated characteristic values of the pre-stirring mode of the waste to be stirred. The pre-stirring mode includes low-speed premixing and high-speed stirring. Synchronously, determine the set of mixer setting parameters and the set ratio value of the stirring method based on the associated characteristic values of the pre-stirring mode of the waste to be stirred, and thus set and start the mixer.

[0009] S3. Monitor the stirring process of the waste to be stirred, collect the material state parameters and equipment operation parameters at a preset monitoring period, analyze the stirring stability characteristic indicators of the waste to be stirred in each period, obtain the adjustment value of the set ratio of the stirring method in the next period, and thus perform adaptive stirring adjustment of the mixer.

[0010] S4. Extract the set stirring duration of the mixer, and determine whether the stirring is completed. If the determination result is that the mixer has not completed stirring, analyze the extended stirring duration, and thus control the mixer to continue stirring.

[0011] In the second aspect of the present invention, a system for supervising the recycling of construction waste is provided, including: An analysis module for waste to be stirred, which is used to denote the recyclable construction waste to be stirred as waste to be stirred, obtain the characteristic parameters of the waste to be stirred, and analyze the associated characteristic values of the pre-stirring mode of the waste to be stirred.

[0012] A mixer setting and starting module, which is used to determine the pre-stirring mode of the waste to be stirred according to the associated characteristic values of the pre-stirring mode of the waste to be stirred. The pre-stirring mode includes low-speed premixing and high-speed stirring. Synchronously, determine the set of mixer setting parameters and the set ratio value of the stirring method based on the associated characteristic values of the pre-stirring mode of the waste to be stirred, and thus set and start the mixer.

[0013] The blender adaptive stirring adjustment module is used to monitor the stirring process of the waste to be stirred, collect the material state parameters and equipment operation parameters at a preset monitoring period, analyze the stirring stability characteristic indexes of the waste to be stirred in each period, obtain the setting ratio adjustment value of the stirring method for the next period, and thus perform the blender adaptive stirring adjustment.

[0014] The stirring extension analysis module is used to extract the set stirring duration of the blender, determine whether the stirring is completed. If the determination result is that the blender has not completed stirring, analyze the stirring extension duration, and thus control the blender to continue stirring.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By providing a method and system for supervising the recycling of construction waste, the present invention can determine the most suitable pre-stirring mode, blender setting parameters and stirring method ratio value according to the characteristic parameters of the waste to be stirred, improving the pertinence and effectiveness of the stirring process, and reducing the problems of energy waste and poor stirring effect caused by unreasonable stirring parameters. During the stirring process, by continuously monitoring the material state parameters and equipment operation parameters, the dynamic regulation of the stirring process is realized, ensuring that the stirring is always in a stable and efficient state, effectively improving the uniformity and quality of the material mixing. At the same time, the scientific determination of the completion of stirring and the reasonable analysis of the stirring extension duration further guarantee the quality of the finally stirred material.

[0016] (2) By determining the pre-stirring mode of the waste to be stirred according to the associated characteristic value of the pre-stirring mode of the waste to be stirred, the present invention can fully consider the characteristic differences of the waste itself and realize the accurate classification of the stirring mode. For waste with a more complex characteristic state, its pre-stirring mode is determined as low-speed premixing, giving it sufficient preliminary stirring to avoid problems such as uneven stirring or equipment overload caused by directly high-speed stirring; while for waste with a good overall characteristic state and capable of adapting to high-speed stirring, high-speed stirring is directly adopted, improving the stirring efficiency and enhancing the overall efficiency and quality of the recycling of construction waste.

[0017] (3) By obtaining the setting ratio adjustment value of the stirring method for the next period and thus performing the blender adaptive stirring adjustment, the present invention can dynamically and accurately adjust the ratio of the stirring method according to the real-time changes of the material state and equipment operation in each period during the stirring process, ensuring that the stirring process is always optimized in the direction of more uniform material mixing and more stable equipment operation, effectively improving the stirring quality and efficiency, reducing problems such as material agglomeration and equipment wear caused by improper stirring, and greatly enhancing the overall efficiency of the recycling of construction waste.

[0018] (4) The present invention completes the determination through stirring, ensuring that the stirring process of construction waste meets the ideal effect standard, avoiding over-stirring or under-stirring, improving production efficiency, reducing unnecessary energy consumption and time waste, and ensuring the quality stability of the waste after stirring. Description of the Drawings

[0019] The present invention will be further described with reference to the accompanying drawings. However, the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

[0020] Figure 1 It is a schematic flow chart of the method steps of the present invention.

[0021] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention. Specific Embodiments

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0023] Referring to Figure 1 As shown, the first aspect of the present invention provides a method for supervising the recycling of construction waste, including the following steps: S1, Denote the recyclable construction waste to be stirred as the waste to be stirred, obtain the characteristic parameters of the waste to be stirred, and analyze the associated eigenvalue of the pre-stirring mode of the waste to be stirred.

[0024] In this embodiment, the process of analyzing the associated eigenvalue of the pre-stirring mode of the waste to be stirred is as follows: Obtain the characteristic parameters of the waste to be stirred, including the average surface particle size, bulk density, average surface roughness, and surface fineness modulus of the waste to be stirred.

[0025] It should be noted that the average surface particle size can be measured by a laser particle size analyzer, the bulk density can be obtained by dividing the mass of the waste to be stirred by the volume, and the average surface roughness can be collected by an optical profilometer.

[0026] It should be noted that the particle size data of each particle is measured by a laser particle size analyzer, the sum of all the measured particle sizes is calculated, and then divided by the total number of particles to calculate the average surface particle size.

[0027] It should also be noted that the height information of each point on the surface of each particle is obtained by an optical profiler, and then the surface roughness value of each particle is calculated. Then, the surface roughness values of these particles are summed and divided by the total number of particles, and the result obtained is the average surface roughness.

[0028] The surface fineness modulus refers to the content of fine particles in the waste to be stirred, and the acquisition method is as follows: Collect the surface image of the waste to be stirred, and use image analysis software to identify the particle contour and obtain its particle size.

[0029] Extract the maximum value of the preset fine particle size in the database, and mark the particles with a particle size smaller than the maximum value of the fine particle size as target particles.

[0030] Obtain the total number of particles and the total number of target particles in the surface image of the waste to be stirred, and record the value obtained by dividing the total number of target particles by the total number of particles as the surface fineness modulus.

[0031] In a specific embodiment, there is an interaction between the characteristic parameters of the waste to be stirred. For example, when the average surface particle size increases, it usually leads to a decreasing trend in the bulk density. This is because the particles with larger particle sizes are arranged relatively loosely in space, resulting in a decrease in the mass per unit volume. At the same time, as the average surface particle size becomes larger, since the proportion of fine particles in the total decreases, the surface fineness modulus will correspondingly decrease. When the bulk density increases, it may enhance the mutual extrusion effect between particles, thereby affecting the average surface particle size to a certain extent, making it tend to become smaller, and may also lead to a decrease in the average surface roughness because the protruding parts on the surface will be squeezed flat during close packing. If the average surface roughness increases, it may hinder the close packing of particles, resulting in a decrease in the bulk density. When the surface fineness modulus increases, that is, the number of fine particles increases, it may fill between the large particles, increasing the bulk density, and due to the presence of fine particles, it may play a certain role in modifying the surface of the large particles, changing the average surface roughness, and may even affect the average surface particle size due to the agglomeration of fine particles, etc.

[0032] According to the analysis and processing of the characteristic parameters of the waste to be stirred, the pre-stirring mode correlation characteristic value of the waste to be stirred is obtained, and the pre-stirring mode correlation characteristic value of the waste to be stirred is used to characterize the characteristic state of the waste to be stirred.

[0033] In a specific embodiment, the method for specifically obtaining the pre-stirring mode correlation characteristic value of the waste to be stirred is as follows: Extract the reference characteristic parameters of the waste to be stirred stored in the database, including the reference average surface particle size, reference bulk density, reference average surface roughness, and reference surface fineness modulus of the waste to be stirred.

[0034] Extract the preset surface average particle size weight, bulk density weight, average surface roughness weight, and surface fineness modulus weight in the database. The extraction method is, for example, to construct a mapping set one by one between the surface average particle size, bulk density, average surface roughness, and surface fineness modulus and their corresponding surface average particle size weight, bulk density weight, average surface roughness weight, and surface fineness modulus weight. When in use, input the real-time collected surface average particle size, bulk density, average surface roughness, and surface fineness modulus into the corresponding mapping set, so as to extract the surface average particle size weight, bulk density weight, average surface roughness weight, and surface fineness modulus weight.

[0035] It should be noted that the value ranges of the surface average particle size weight, bulk density weight, average surface roughness weight, and surface fineness modulus weight are all 0 - 1.

[0036] The associated characteristic value of the pre-stirring mode of the waste to be stirred, the acquisition method is as follows: , Among them, is the associated characteristic value of the pre-stirring mode of the waste to be stirred, is the surface average particle size of the waste to be stirred, is the bulk density of the waste to be stirred, is the average surface roughness of the waste to be stirred, is the surface fineness modulus of the waste to be stirred, is the reference surface average particle size of the waste to be stirred, is the reference bulk density of the waste to be stirred, is the reference average surface roughness of the waste to be stirred, is the reference surface fineness modulus of the waste to be stirred, is the surface average particle size weight, is the bulk density weight, is the average surface roughness weight, is the surface fineness modulus weight.

[0037] S2. Determine the pre-stirring mode of the waste to be stirred according to the associated characteristic value of the pre-stirring mode of the waste to be stirred. The pre-stirring mode includes low-speed premixing and high-speed stirring. Synchronously, determine the mixer setting parameter set and the stirring mode setting ratio value based on the associated characteristic value of the pre-stirring mode of the waste to be stirred, and thus set and start the mixer.

[0038] In this embodiment, determining the pre-stirring mode of the waste to be stirred according to the associated characteristic value of the pre-stirring mode of the waste to be stirred, the specific analysis process is as follows: The pre-stirring mode includes low-speed premixing and high-speed stirring.

[0039] Extract the preset associated feature threshold of the pre-stirring mode in the database.

[0040] If the associated feature value of the pre-stirring mode of the waste to be stirred is less than or equal to the associated feature threshold of the pre-stirring mode, record the pre-stirring mode of the waste to be stirred as low-speed premixing.

[0041] It should be noted that both the stirring duration and the mixer rotation speed of low-speed premixing are constant values, which can be directly extracted from the database during use.

[0042] It should also be noted that the waste to be stirred with the pre-stirring mode recorded as low-speed premixing still needs high-speed stirring after completing low-speed premixing.

[0043] If the associated feature value of the pre-stirring mode of the waste to be stirred is less than or equal to the associated feature threshold of the pre-stirring mode, it indicates that the characteristic state of the waste to be stirred is relatively complex, and it is difficult to achieve an ideal effect by directly high-speed stirring. It is necessary to first go through the low-speed premixing stage to preliminarily stir the waste, making the subsequent high-speed stirring more convenient and effective.

[0044] By the method of first low-speed premixing and then high-speed stirring, the stirring effect and quality can be improved. In the low-speed premixing stage, particles with different particle sizes, densities, and surface characteristics in the waste are initially evenly distributed, reducing the agglomeration phenomenon between materials. It not only avoids uneven stirring caused by local material concentration during high-speed stirring, but also effectively reduces the excessive load borne by the equipment at the initial stage of startup, reduces equipment wear, extends the service life of the mixer, and reduces maintenance costs. At the same time, the low-speed premixing stage prepares for high-speed stirring with relatively low energy consumption, and the energy consumption distribution in the overall stirring process is more reasonable, avoiding the situation of high energy consumption but low efficiency that may be brought about by directly high-speed stirring, realizing the effective utilization of resources, and making the quality of the final stirred product more stable and more uniform.

[0045] If the associated feature value of the pre-stirring mode of the waste to be stirred is greater than the associated feature threshold of the pre-stirring mode, record the pre-stirring mode of the waste to be stirred as high-speed stirring.

[0046] If the associated feature value of the pre-stirring mode of the waste to be stirred is greater than the associated feature threshold of the pre-stirring mode, it indicates that the overall characteristic state of the waste is good, and it can adapt to the strong stirring action brought by high-speed stirring to achieve uniform mixing. In order to improve the stirring efficiency and avoid waste of resources, the low-speed premixing stage can be skipped and directly high-speed stirring can be carried out.

[0047] In a specific embodiment, by determining the pre-stirring mode of the waste to be stirred based on the associated characteristic values of the pre-stirring mode of the waste to be stirred, the characteristic differences of the waste itself can be fully considered, and the accurate classification of the stirring mode can be realized. For waste with a more complex characteristic state, its pre-stirring mode is determined as low-speed premixing, giving it sufficient preliminary stirring to avoid problems such as uneven stirring or equipment overload caused by directly high-speed stirring; while for waste with a good overall characteristic state and capable of adapting to high-speed stirring, high-speed stirring is directly adopted, which improves the stirring efficiency and enhances the overall efficiency and quality of the recycling of construction waste.

[0048] In this embodiment, based on the associated characteristic values of the pre-stirring mode of the waste to be stirred, the set of mixer setting parameters and the set ratio value of the stirring mode are determined. The specific analysis process is as follows: Extract the set of setting parameters and the set ratio value corresponding to each interval of the associated characteristic values of the pre-stirring mode stored in the database, and map and extract the set of setting parameters and the set ratio value corresponding to the interval where the associated characteristic values of the pre-stirring mode of the waste to be stirred are located, denoted as the set of mixer setting parameters and the set ratio value of the periodic stirring mode.

[0049] The set of mixer setting parameters includes the set stirring duration of the mixer and the set rotation speed of the mixer.

[0050] It should be noted that the set of mixer setting parameters refers to the setting parameters of the mixer during high-speed stirring.

[0051] The stirring modes include free stirring, reverse stirring, and spiral stirring; It should be noted that the change of the stirring mode has nothing to do with the stirring duration and the stirring rotation speed.

[0052] In a specific embodiment, the rotation direction of the motor can be changed by adjusting the control system of the stirring equipment, so that the stirring blades rotate in the reverse direction, thereby realizing the switching of the stirring mode from free stirring to reverse stirring.

[0053] Use a hydraulic or mechanical device to change the movement mode of the stirring shaft, so that it generates a certain axial displacement while rotating, and cooperate with the spiral groove structure at the bottom of the optimized stirring container to make the material gradually show a spiral upward or downward movement state during the stirring process, thereby switching the stirring mode from reverse stirring to spiral stirring.

[0054] It should be understood that in specific embodiments, the free stirring action is relatively flexible and loose, without a specific forced direction, enabling the materials to freely tumble and mix in a relatively loose environment, which helps to initially break up larger aggregates, allowing materials with different characteristics to come into contact and blend with each other, laying a foundation for subsequent more in-depth stirring. The free stirring mode is set because the composition of construction waste is complex, and free stirring can handle the materials in a relatively gentle manner at the initial stage of stirring, avoiding damage to some special materials or structures due to overly intense stirring actions.

[0055] Reverse stirring can break the fixed flow pattern formed by the materials under conventional one-way stirring, preventing local aggregation or dead spots of the materials in the stirring equipment, enabling the materials to be more comprehensively and evenly mixed during the stirring process. When the materials are stirred in one direction for a period of time, reverse stirring can bring the materials originally at the edge or bottom back to other positions, promoting the full exchange of materials at different positions, thereby enhancing the overall mixing effect.

[0056] Screw stirring has a strong directional pushing effect. Through spiral blades or structures, the materials are transported and stirred along a specific direction. This method can, while stirring, make the materials form a circulating flow in the equipment, enhancing the mutual extrusion and friction between the materials, further refining the material particles, and improving the mixing uniformity.

[0057] By combining free stirring, reverse stirring, and screw stirring to form a stirring cycle, the advantages of each stirring method can be fully utilized, achieving a complete stirring process from the initial dispersion of the materials, to comprehensive mixing, and then to deep homogenization, improving the stirring efficiency and quality, and ensuring that the construction waste is fully and evenly mixed. If a cycle is only executed by a single mode, it is difficult to achieve an ideal stirring effect. For example, only using free stirring can initially break up the materials, but it is difficult to achieve deep mixing and homogenization of the materials, which may result in incomplete mixing of some materials. Only using reverse stirring, without the initial dispersion of free stirring, the materials may not be able to effectively contact and start mixing, and a single screw stirring, due to its strong directivity, may over-stir the materials in some areas while under-stirring in other areas, and may also handle the complex material structure improperly at the initial stage of stirring.

[0058] The set proportion values of the periodic stirring method include the free stirring duration proportion value, the reverse stirring duration proportion value, and the screw stirring duration proportion value.

[0059] In a specific embodiment, it is assumed that the cycle duration is 60 minutes, the proportion value of the free stirring duration is 0.4, the proportion value of the reverse stirring duration is 0.3, and the proportion value of the spiral stirring duration is 0.3. Then the free stirring duration is 60×0.4 = 24 minutes, the reverse stirring duration is 60×0.3 = 18 minutes, and the spiral stirring duration is 60×0.3 = 18 minutes.

[0060] It should be noted that the order of the stirring methods is from free stirring to reverse stirring and then to spiral stirring.

[0061] It should be understood that the smaller the associated characteristic value of the pre-stirring mode of the waste to be stirred, the worse the characteristic state of the waste to be stirred. In order to ensure that the waste can be stirred sufficiently and effectively, further improve the stirring quality, and make the materials reach a more ideal mixing effect, the set stirring duration of the mixer extracted correspondingly should be longer. This is because materials with poor characteristic states require more time to achieve uniform mixing to make up for the possible deficiencies in low-speed premixing. The set rotation speed of the mixer should be lower. A lower rotation speed can avoid problems such as uneven stirring and equipment damage during high-speed operation due to the complex material properties, ensuring the smooth progress of the stirring process.

[0062] In terms of the set proportion value of the cycle stirring method, the proportion of free stirring should be higher. Free stirring can further mix the materials in a relatively loose environment and continue to break up the agglomerates that may remain after low-speed premixing. The proportion of reverse stirring should also be higher. By changing the stirring direction, the inherent flow path formed during the stirring process of the materials is broken, further promoting the uniform distribution of the materials. The proportion of spiral stirring should be lower. Because of the poor characteristic state of the waste to be stirred, the strong directional conveying effect of spiral stirring may cause the materials to be over-pushed before being fully mixed, which is not conducive to the overall uniformity. After the mixing state of the materials is improved, spiral stirring can better play its role in promoting cyclic mixing.

[0063] S3. Monitor the stirring process of the waste to be stirred, collect the material state parameters and equipment operation parameters at a preset monitoring cycle, analyze the stirring stability characteristic indexes of the waste to be stirred in each cycle, obtain the adjustment value of the set proportion of the stirring method for the next cycle, and thus perform adaptive stirring adjustment of the mixer.

[0064] In this embodiment, the analysis of the stirring stability characteristic indexes of the waste to be stirred in each cycle is as follows: Collect the material state parameters and equipment operation parameters at a preset monitoring cycle, where: The material state parameters include the viscosity change amount, pressure change amount, porosity change amount of the waste to be stirred, and the change amount of the spatial distribution entropy value of the material particles.

[0065] It should be noted that the viscosity change amount refers to the degree of change in the viscosity of the material during the stirring process and can be measured by a rotational viscometer. The pressure change amount reflects the pressure fluctuation of the material in the stirring container and can be measured using a pressure sensor. The porosity change amount reflects the dynamic change of the pore structure inside the material and can be determined with a mercury intrusion porosimeter.

[0066] The spatial distribution entropy value of the material particles is obtained as follows: Particle position sensors are set at different positions in the stirring container to monitor the three-dimensional spatial coordinate information of the material particles in real time. Through the calculation method of information entropy, the spatial distribution entropy value is calculated based on the distribution probability of the particles in space. During the stable stirring process, the material particles should gradually tend to be evenly distributed, and the spatial distribution entropy value will approach a stable maximum value. If the entropy value fluctuates greatly or does not reach the expected stable value range for a long time, it indicates that the stirring process is unstable and the material has not been fully mixed evenly.

[0067] It should be noted that the viscosity change amount, pressure change amount, porosity change amount, and the change amount of the spatial distribution entropy value of the material particles refer to the viscosity, pressure, porosity, and the spatial distribution entropy value of the material at the end of the cycle minus the viscosity, pressure, porosity, and the spatial distribution entropy value of the material at the beginning of the cycle.

[0068] It should be noted that assuming the space in the stirring container is divided into m equal-volume small regions, and the probability of particles appearing in the j-th region is , then the calculation formula for the spatial distribution entropy value H of the material particles is: , where , , j is the number of the divided regions, and m is the number of the divided regions.

[0069] The mixing characteristic parameters of the material in each cycle are obtained by analyzing and processing the material state parameters in each cycle.

[0070] In a specific embodiment, by analyzing and processing the material state parameters in each cycle to obtain the material mixing characteristic parameters in each cycle, the mutual influence between these parameters is considered. For example, when the change in viscosity increases, it means that the internal friction of the material increases and the fluidity becomes worse. This will make the movement of the material in the mixing equipment difficult, resulting in an increase in the change in pressure. Because the mixing equipment needs to overcome greater resistance to push the material to move, the internal pressure of the equipment will rise accordingly. At the same time, due to the decrease in the fluidity of the material, the arrangement between particles becomes closer, and the change in porosity will decrease, and the internal voids of the material will decrease. For the change in the spatial distribution entropy value of the material particles, since the movement of the particles is restricted and the distribution becomes relatively ordered, the change in the spatial distribution entropy value decreases, that is, the entropy value decreases, indicating that the degree of disorder of the system decreases. If the change in pressure increases, it may enhance the mutual extrusion between the material particles, resulting in an increase in the change in viscosity of the material because the friction between the particles intensifies. At the same time, a larger pressure may compress the material, making the change in porosity decrease and the material become denser. Under this pressure, the distribution of the material particles will also be affected, and the change in the spatial distribution entropy value decreases, and the particle distribution tends to be ordered. When the change in porosity increases, it means that there are more voids inside the material and the material is relatively loose. This will increase the fluidity of the material and decrease the change in viscosity. At the same time, since the internal space of the material becomes larger, the change in pressure will also decrease accordingly because the resistance that the mixing equipment needs to overcome to push the material decreases. The increase in porosity allows the particles to have more space to move freely, and the change in the spatial distribution entropy value of the material particles may increase, that is, the degree of disorder of the system increases. When the change in the spatial distribution entropy value of the material particles increases, it indicates that the distribution of the material particles is more disordered and dispersed. This may lead to an increase in the fluidity of the material and a decrease in the change in viscosity. To sum up, these parameters influence and restrict each other during the mixing process of construction waste, jointly reflecting the state change of the material during the mixing process.

[0071] Extract the ideal material state parameters stored in the database, including the ideal change in viscosity, the ideal change in pressure, the ideal change in porosity, and the ideal change in the spatial distribution entropy value of the material particles of the waste to be mixed.

[0072] Extract the preset weight values of viscosity change, pressure change, porosity change, and the weight value of the change in the spatial distribution entropy of material particles in the database. Their value ranges are all between 0 and 1. For example, when using the extraction method, construct a mapping set for the viscosity change, pressure change, porosity change, and the change in the spatial distribution entropy of material particles one by one with their corresponding weight values. When using, input the viscosity change, pressure change, porosity change, and the change in the spatial distribution entropy of material particles obtained in real time into the constructed mapping set, so as to extract the corresponding weight values of viscosity change, pressure change, porosity change, and the change in the spatial distribution entropy of material particles.

[0073] In a specific embodiment, the method for specifically obtaining the material mixing characteristic parameters in each cycle is as follows: , where, is the material mixing characteristic parameter in the i-th cycle, is the viscosity change of the waste to be stirred in the i-th cycle, is the pressure change of the waste to be stirred in the i-th cycle, is the porosity change of the waste to be stirred in the i-th cycle, is the change in the spatial distribution entropy of the material particles of the waste to be stirred in the i-th cycle, is the ideal viscosity change of the waste to be stirred, is the ideal pressure change of the waste to be stirred, is the ideal porosity change of the waste to be stirred, is the ideal change in the spatial distribution entropy of the material particles of the waste to be stirred, is the weight value of viscosity change, is the weight value of pressure change, is the weight value of porosity change, is the weight value of the change in the spatial distribution entropy of material particles, , i is the number of the stirring cycle, and n is the number of stirring cycles.

[0074] The equipment operation parameters include the torque fluctuation coefficient of the stirring paddle, the power factor change rate of the stirring motor, the peak frequency of the vibration spectrum of the mixer, and the extreme difference of the change in the operating temperature of the mixer.

[0075] It should be noted that the torque fluctuation coefficient of the stirring paddle can collect torque data in real time through a torque sensor, then analyze and process the torque data in the cycle, calculate the torque standard deviation and the torque average value, and divide the torque standard deviation by the torque average value to obtain the torque fluctuation coefficient of the stirring paddle.

[0076] The rate of change of the power factor of the stirring motor can be obtained by a power analyzer.

[0077] The peak frequency of the vibration spectrum of the mixer can be jointly detected by an acceleration sensor and a spectrum analyzer.

[0078] The extreme difference in the change of the operating temperature can be obtained by the temperature sensor detecting the temperature in real time and subtracting the minimum temperature from the maximum temperature.

[0079] The evaluation value of the equipment operation efficiency in each cycle is obtained by analyzing and processing the equipment operation parameters in each cycle, and the evaluation value of the equipment operation efficiency in each cycle is used to characterize the operation effect of the equipment in each cycle.

[0080] In a specific embodiment, obtaining the evaluation value of the equipment operation efficiency in each cycle by analyzing and processing the equipment operation parameters in each cycle takes into account the mutual influence between these parameters. For example, when the torque fluctuation coefficient of the stirring blade increases, it means that the amplitude of the torque change borne by the blade during stirring increases. This may be due to changes in the properties of the material, such as an increase in viscosity or uneven distribution of the material. At this time, the stirring motor needs to output a greater torque to drive the blade, resulting in an increase in the load on the motor. According to the relationship between power and torque, the power consumption of the motor will also increase accordingly, and then the rate of change of the power factor of the stirring motor may increase. At the same time, the large torque fluctuation will cause the overall force of the mixer to be unstable, resulting in a change in the peak frequency of the vibration spectrum of the mixer, and there may be higher-frequency vibration peaks. With the increase in the motor load and the intensification of vibration, the extreme difference in the change of the operating temperature of the mixer may also increase, because the motor and the stirring components will generate more heat under high load and unstable working conditions, and the temperature fluctuation will be more obvious. When the rate of change of the power factor increases and the power consumption increases, the stirring blade will obtain greater power, and the torque will also increase accordingly, which may lead to an increase in the torque fluctuation coefficient of the stirring blade. The increase in the peak frequency of the vibration spectrum of the mixer indicates that the vibration characteristics of the mixer have changed, which may be caused by reasons such as the imbalance of the stirring blade, uneven distribution of the material, or wear of mechanical components. The intensification of vibration will increase the impact force on the stirring blade during rotation, resulting in an increase in the torque fluctuation coefficient of the stirring blade. At the same time, the change in vibration will affect the load condition of the motor, causing the motor to continuously adjust the output power to maintain stirring, and then leading to a change in the rate of change of the power factor of the stirring motor. And the increase in vibration will intensify the friction between mechanical components, generating more heat, and the extreme difference in the change of the operating temperature of the mixer may also increase accordingly.

[0081] Extract the reference device operation parameters stored in the database, including the reference torque fluctuation coefficient of the stirring paddle, the reference power factor change rate of the stirring motor, the reference vibration spectrum peak frequency of the mixer, and the reference extreme difference of the mixer's operating temperature change.

[0082] In a specific embodiment, the evaluation value of the equipment operation efficiency within each cycle is obtained as follows: , where, is the evaluation value of the equipment operation efficiency in the i-th cycle, is the torque fluctuation coefficient of the stirring paddle in the i-th cycle, is the power factor change rate of the stirring motor in the i-th cycle, is the vibration spectrum peak frequency of the mixer in the i-th cycle, is the extreme difference of the operating temperature change of the mixer in the i-th cycle, is the reference torque fluctuation coefficient of the stirring paddle, is the reference power factor change rate of the stirring motor, is the reference vibration spectrum peak frequency of the mixer, is the reference extreme difference of the operating temperature change of the mixer, is the weight value of the torque fluctuation coefficient of the stirring paddle, is the weight value of the power factor change rate of the stirring motor, is the weight value of the vibration spectrum peak frequency of the mixer, is the weight value of the extreme difference of the operating temperature change of the mixer, , i is the number of the stirring cycle, and n is the number of stirring cycles.

[0083] It should be noted that the torque fluctuation coefficient weight of the stirring blade, the power factor change rate weight of the stirring motor, the vibration spectrum peak frequency weight of the mixer and the extreme value difference weight of the operating temperature change of the mixer all have a value range of 0 to 1. When used, they can be directly extracted from the database to obtain the preset value. The specific extraction method is, for example, to respectively compare the torque fluctuation coefficient of the stirring blade, the power factor change rate of the stirring motor, the vibration spectrum peak frequency of the mixer and the extreme value difference of the operating temperature change of the mixer with the corresponding torque fluctuation coefficient weight of the stirring blade, the power factor change rate of the stirring motor, the vibration spectrum peak frequency of the mixer and the extreme value difference of the operating temperature change of the mixer. The power factor change rate weights, the vibration spectrum peak frequency weights of the mixer and the operating temperature extreme value difference weights of the mixer are used to construct a mapping set one by one. When in use, the torque fluctuation coefficient of the stirring blade, the power factor change rate of the stirring motor, the vibration spectrum peak frequency of the mixer and the operating temperature extreme value difference of the mixer obtained in real time are input into the mapping set one by one, so as to extract the torque fluctuation coefficient weights of the stirring blade, the power factor change rate weights of the stirring motor, the vibration spectrum peak frequency weights of the mixer and the operating temperature extreme value difference weights of the mixer.

[0084] The equipment operation efficiency correction factor in each cycle is extracted according to the equipment operation efficiency evaluation value in each cycle. The extraction method is: extract the operation efficiency correction factor corresponding to each operation efficiency evaluation value interval stored in the database, and map and extract each operation efficiency correction factor corresponding to the interval where the equipment operation efficiency evaluation value in each cycle is located, and record it as the equipment operation efficiency correction factor in each cycle.

[0085] It should be understood that the greater the equipment operation efficiency evaluation value within the cycle, the worse the equipment operation effect. At this time, the corresponding equipment operation efficiency correction factor extracted within the cycle should be larger, so that the mixing stability characteristic index of the waste to be mixed within the cycle is larger. Because when the equipment operation effect is not good, a larger correction factor can make a large adjustment to the equipment operating parameters, compensate for the mixing defects caused by poor operation of the equipment, so that the waste to be mixed can still maintain a high degree of mixing stability under poor equipment operation conditions.

[0086] It should also be noted that the database stores an equipment operation efficiency evaluation threshold. If the equipment operation efficiency evaluation value within a certain period is greater than the equipment operation efficiency evaluation threshold, the equipment is controlled to stop stirring and directly generate an early warning prompt message. In a specific embodiment, the early warning prompt message at this time may be "The equipment operation efficiency is poor and the subsequent stirring task cannot be completed."

[0087] It should be understood that if the equipment operation efficiency evaluation value in a certain period is greater than the equipment operation efficiency evaluation threshold, it indicates that the operation condition of the equipment at this time is extremely poor and the equipment operation is extremely unstable. If it continues to operate at this time, not only can the mixing quality of construction waste not be guaranteed, but also a large amount of energy may be consumed due to the high load and unstable operation of the equipment, exacerbating equipment wear, causing resource waste, and even possibly leading to equipment failures. Therefore, it is necessary to promptly control the equipment to stop mixing and send out a warning message.

[0088] In a specific embodiment, by analyzing the equipment operation efficiency evaluation values in each period, the operation effect of the equipment in each period can be accurately characterized, providing a data basis for extracting the equipment operation efficiency correction factor to compensate for the mixing defects caused by poor equipment operation, ensuring the continuity of the mixing process, avoiding mixing interruption caused by short-term equipment failures or performance fluctuations, and also ensuring the quality uniformity of the final mixed product, improving the overall reliability of the recycling of construction waste.

[0089] According to the material mixing characteristic parameters in each period and the equipment operation efficiency correction factor in each period, the mixing stability characteristic index of the waste to be mixed in each period is analyzed and processed. The mixing stability characteristic index of the waste to be mixed in each period is used to characterize the mixing stability degree of the waste to be mixed in each period.

[0090] In a specific embodiment, the specific analysis process of the mixing stability characteristic index of the waste to be mixed in each period is as follows: , wherein, is the mixing stability characteristic index of the waste to be mixed in the i-th period, is the material mixing characteristic parameter in the i-th period, is the equipment operation efficiency correction factor in the i-th period, , i is the number of the mixing period, and n is the number of mixing periods.

[0091] In a specific embodiment, by analyzing the mixing stability characteristic index of the waste to be mixed in each period, the material mixing characteristic parameters and the equipment operation efficiency correction factor are comprehensively analyzed, which comprehensively reflects the mixing stability degree of the waste in each mixing period, can reflect the interaction state between the equipment and the material in the mixing process in real time, and can promptly detect the abnormal fluctuations in the mixing process, thereby ensuring the stability and continuity of the mixing process, improving the quality uniformity of the mixed product, effectively avoiding product quality defects caused by unstable mixing, and enhancing the overall efficiency and reliability of the recycling of construction waste.

[0092] In this embodiment, the set ratio adjustment value of the mixing method for the next period is obtained, and the mixer is adaptively adjusted for mixing. The specific analysis process is as follows: Extract the mixing mode setting ratio adjustment values corresponding to the intervals of each mixing stability characteristic index stored in the database, and map and extract the mixing mode setting ratio adjustment values corresponding to the intervals where the mixing stability characteristic indexes of the waste to be mixed in each period are located, which are recorded as the mixing mode setting ratio adjustment values for the next period.

[0093] Adjust the mixing mode ratio according to the mixing mode setting ratio value and the mixing mode setting ratio adjustment value for the next period, and thus perform adaptive mixing adjustment of the mixer.

[0094] In a specific embodiment, it is assumed that in a certain period, the mixing stability characteristic index of the waste to be mixed is 0.4, and the extracted mixing mode setting ratio adjustment value for the next period is that the free mixing duration ratio value increases by 0.1, the reverse mixing duration ratio value decreases by 0.05, and the spiral mixing duration ratio value decreases by 0.05. It is assumed that the original mixing mode setting ratio value is 0.3 for the free mixing duration ratio value, 0.4 for the reverse mixing duration ratio value, and 0.3 for the spiral mixing duration ratio value. Then, after adjustment, the free mixing duration ratio value of the mixing mode for the next period becomes 0.4, the reverse mixing duration ratio value becomes 0.35, and the spiral mixing duration ratio value becomes 0.25. Assuming that the period duration is 60 minutes, then after adjustment, 24 (i.e., 60 * 0.4) minutes of free mixing, 21 (i.e., 60 * 0.35) minutes of reverse mixing, and 15 (i.e., 60 * 0.25) minutes of spiral mixing should be carried out in the next period.

[0095] It should be noted that when it comes to the last period of waste treatment, no adaptive mixing adjustment of the mixer is performed.

[0096] In a specific embodiment, by obtaining the mixing mode setting ratio adjustment value for the next period and thus performing adaptive mixing adjustment of the mixer, it is possible to dynamically and precisely adjust the ratio of the mixing mode according to the real-time changes in the material state and equipment operation in each period during the mixing process, ensuring that the mixing process is always optimized in the direction of more uniform material mixing and more stable equipment operation, effectively improving the mixing quality and efficiency, reducing problems such as material agglomeration and equipment wear caused by improper mixing, and greatly enhancing the overall efficiency of construction waste recycling.

[0097] S4. Extract the set mixing duration of the mixer, perform mixing completion determination. If the determination result is that the mixer has not completed mixing, analyze the mixing extension duration, and thus control the mixer to continue mixing.

[0098] In this embodiment, for the mixing completion determination, the specific analysis process is as follows: Obtain the actual mixing duration of the mixer. When the actual mixing duration of the mixer is equal to the set mixing duration of the mixer, perform mixing completion determination, and thus obtain the mixing completion determination result.

[0099] It should be noted that the actual stirring duration of the mixer refers to the stirring duration when the mixer operates at high speed, which can be directly extracted from the system program log.

[0100] The stirring completion determination result includes that the mixer has completed stirring and that the mixer has not completed stirring.

[0101] Collect the stirring quality parameters of the waste to be stirred. Based on the stirring stability characteristic indexes and the stirring quality parameters of the waste to be stirred in each cycle, comprehensively analyze and process them to obtain the stirring efficiency determination value of the waste to be stirred.

[0102] In this embodiment, the specific analysis process of the stirring efficiency determination value of the waste to be stirred is as follows: Perform mean processing on the stirring stability characteristic indexes of the waste to be stirred in each cycle to obtain the mean value of the stirring stability characteristic indexes of the waste to be stirred.

[0103] The stirring quality parameters of the waste to be stirred include the density variation coefficient, the particle shape consistency coefficient, the hardness distribution standard deviation, and the agglomerate residue ratio of the waste to be stirred.

[0104] It should be noted that the density at each position of the waste to be stirred can be measured by a densitometer at the end of each cycle, so as to calculate the density standard deviation and the average density. Divide the density standard deviation by the average density to obtain the density variation coefficient, so as to reflect the uniformity of the waste density.

[0105] The specific method for obtaining the particle shape consistency coefficient is as follows: Obtain the waste particle image after stirring at the end of each cycle, identify the contour of each particle, obtain the average value and standard deviation of the aspect ratio of each particle size, and use the result of dividing the standard deviation of the particle size aspect ratio by the average value as the particle shape consistency coefficient.

[0106] The hardness distribution standard deviation can be obtained by measuring the hardness of the waste at each position with a hardness meter and then calculating the hardness distribution standard deviation.

[0107] The method for obtaining the agglomerate residue ratio is as follows: Obtain the waste particle image after stirring. Based on the extracted particle area threshold, use image analysis software to identify and classify single particles and agglomerates, so as to count the number of agglomerates and the total number of particles in the image. Divide the number of agglomerates by the total number of particles to obtain the agglomerate residue ratio.

[0108] It should be noted that the total number of particles refers to the sum of the number of single particles and the number of agglomerates.

[0109] It should also be noted that the image analysis software can be ImageJ.

[0110] In a specific embodiment, there are mutual influences among the stirring quality parameters of the waste to be stirred. For example, if the coefficient of variation of density increases, it means that the density distribution of the waste is uneven, and different density particles are subjected to different forces during stirring, which will reduce the coefficient of particle shape consistency, making the particle shape more irregular. At the same time, due to compositional differences, the standard deviation of hardness distribution increases, and large density differences are likely to form agglomerates, increasing the residual ratio of agglomerates. When the coefficient of particle shape consistency decreases, irregularly shaped particles affect space filling, resulting in an increase in the coefficient of variation of density. Different forces during stirring increase the standard deviation of hardness distribution, and the complex interaction promotes an increase in the residual ratio of agglomerates. An increase in the standard deviation of hardness distribution reflects large compositional differences, which will increase the coefficient of variation of density. Different hardness particles are damaged to different degrees, reducing the coefficient of particle shape consistency. Uneven hardness makes soft regions prone to agglomeration, increasing the residual ratio of agglomerates. An increase in the residual ratio of agglomerates affects the density distribution due to the agglomerate structure, increasing the coefficient of variation of density, changing the overall shape characteristics, reducing the coefficient of particle shape consistency, and the hardness difference inside and outside the agglomerates increases the standard deviation of hardness distribution.

[0111] According to the mean value of the stirring stability characteristic index of the waste to be stirred and the stirring quality parameters of the waste to be stirred, a stirring efficiency determination value of the waste to be stirred is obtained through analysis. The stirring efficiency determination value of the waste to be stirred is used to characterize the stirring effect of the waste to be stirred.

[0112] Extract the reference stirring quality parameters stored in the database, including the reference coefficient of variation of density, the reference coefficient of particle shape consistency, the reference standard deviation of hardness distribution, and the reference residual ratio of agglomerates.

[0113] Extract the preset mean value of the ideal stirring stability characteristic index in the database.

[0114] In a specific embodiment, the specific method for obtaining the stirring efficiency determination value of the waste to be stirred is as follows: , where, is the stirring efficiency determination value of the waste to be stirred, is the coefficient of variation of density of the waste to be stirred, is the coefficient of particle shape consistency of the waste to be stirred, is the standard deviation of hardness distribution of the waste to be stirred, is the residual ratio of agglomerates of the waste to be stirred, is the mean value of the stirring stability characteristic index of the waste to be stirred, is the reference coefficient of variation of density, is the reference coefficient of particle shape consistency, is the reference standard deviation of hardness distribution, is the reference residual ratio of agglomerates, is the mean value of the ideal stirring stability characteristic index, is the weight value of the density coefficient of variation, is the weight value of the particle shape consistency coefficient, is the weight value of the standard deviation of the hardness distribution, is the weight value of the residual ratio of aggregates, is the weight value of the mean value of the stirring stability characteristic index, , where i is the number of the stirring cycle, n is the number of stirring cycles, and e is the natural constant.

[0115] It should be noted that the value ranges of the weight value of the density coefficient of variation, the weight value of the particle shape consistency coefficient, the weight value of the standard deviation of the hardness distribution, the weight value of the residual ratio of aggregates, and the weight value of the mean value of the stirring stability characteristic index are all from 0 to 1. When in use, the preset values can be directly extracted from the database. For example, the extraction method is to construct a mapping set for the density coefficient of variation, the particle shape consistency coefficient, the standard deviation of the hardness distribution, and the residual ratio of aggregates of the waste to be stirred respectively with their corresponding weight values. When in use, the density coefficient of variation, the particle shape consistency coefficient, the standard deviation of the hardness distribution, and the residual ratio of aggregates of the waste to be stirred obtained in real time are input into the corresponding mapping set, so as to extract the corresponding weight value of the density coefficient of variation, the weight value of the particle shape consistency coefficient, the weight value of the standard deviation of the hardness distribution, the weight value of the residual ratio of aggregates, and the weight value of the mean value of the stirring stability characteristic index.

[0116] Extract the stirring efficiency determination threshold of the waste to be stirred stored in the database.

[0117] If the stirring efficiency determination value of the waste to be stirred is greater than the stirring efficiency determination threshold of the waste to be stirred, record the stirring completion determination result as the mixer has completed stirring.

[0118] If the stirring efficiency determination value of the waste to be stirred is less than or equal to the stirring efficiency determination threshold of the waste to be stirred, record the stirring completion determination result as the mixer has not completed stirring.

[0119] In a specific embodiment, by performing the stirring completion determination, it is ensured that the stirring process of the construction waste reaches the ideal effect standard, avoiding the occurrence of over-stirring or under-stirring, improving the production efficiency, reducing unnecessary energy consumption and time waste, and ensuring the quality stability of the waste after stirring.

[0120] In this embodiment, analyze the extended stirring duration, and thus control the mixer to continue stirring. The specific analysis process is as follows: Subtract the stirring efficiency determination value of the waste to be stirred from the stirring efficiency determination threshold of the waste to be stirred to obtain the stirring efficiency determination deviation value of the waste to be stirred.

[0121] Extract the extended duration corresponding to the interval where each mixing efficiency determination deviation value stored in the database is located, and map and extract the extended duration corresponding to the interval where the mixing efficiency determination deviation value of the waste to be mixed is located, which is recorded as the mixing extended duration.

[0122] Control the mixer to continue mixing according to the mixing extended duration.

[0123] In a specific embodiment, assume that the mixing efficiency determination threshold of the waste to be mixed is 0.8, the mixing efficiency determination value of a certain batch of waste to be mixed is 0.7, and the difference between the two is 0.1. After querying the database, the corresponding extended duration is 15 minutes, then control the mixer to continue mixing for 15 minutes.

[0124] It should be noted that if, after 15 minutes, the re-analyzed mixing efficiency determination value of the waste to be mixed is still less than or equal to the mixing efficiency determination threshold of the waste to be mixed, a prompt message is generated for warning.

[0125] The second aspect of the present invention provides a construction waste recycling supervision system, including: A waste-to-be-mixed analysis module, which is used to record the recyclable construction waste to be mixed as the waste to be mixed, obtain the characteristic parameters of the waste to be mixed, and analyze the associated characteristic values of the pre-mixing mode of the waste to be mixed.

[0126] A mixer setting and starting module, which is used to determine the pre-mixing mode of the waste to be mixed according to the associated characteristic values of the pre-mixing mode of the waste to be mixed. The pre-mixing mode includes low-speed premixing and high-speed mixing. Synchronously, based on the associated characteristic values of the pre-mixing mode of the waste to be mixed, determine the mixer setting parameter set and the mixing method setting ratio value, and thus set and start the mixer.

[0127] A mixer adaptive mixing adjustment module, which is used to monitor the mixing process of the waste to be mixed, collect the material state parameters and equipment operation parameters at a preset monitoring period, analyze the mixing stability characteristic indexes of the waste to be mixed in each period, obtain the mixing method setting ratio adjustment value for the next period, and thus perform mixer adaptive mixing adjustment.

[0128] A mixing extension analysis module, which is used to extract the set mixing duration of the mixer, perform mixing completion determination. If the determination result is that the mixer has not completed mixing, analyze the mixing extension duration, and thus control the mixer to continue mixing.

[0129] In this embodiment, by providing a supervision method and system for the recycling of construction waste, it is possible to determine the most suitable pre-mixing mode, mixer setting parameters, and mixing method ratio value according to the characteristic parameters of the waste to be mixed, improving the pertinence and effectiveness of the mixing process and reducing the problems of energy waste and poor mixing effect caused by unreasonable mixing parameters. During the mixing process, by continuously monitoring the material state parameters and equipment operation parameters, dynamic control of the mixing process is achieved, ensuring that the mixing is always in a stable and efficient state, effectively improving the uniformity and quality of the material mixture. At the same time, the scientific determination of the completion of mixing and the reasonable analysis of the extended mixing time further guarantee the quality of the finally mixed material.

[0130] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described, as long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A supervision method for the recycling of construction waste, characterized in that It includes the following steps: S1. Denote the recyclable construction waste to be stirred as the waste to be stirred, obtain the characteristic parameters of the waste to be stirred, and analyze the associated characteristic values of the pre-stirring mode of the waste to be stirred; S2. Determine the pre-stirring mode of the waste to be stirred according to the associated characteristic values of the pre-stirring mode of the waste to be stirred. The pre-stirring mode includes low-speed premixing and high-speed stirring. Synchronously, determine the set of mixer setting parameters and the set ratio value of the stirring mode based on the associated characteristic values of the pre-stirring mode of the waste to be stirred, and thus set and start the mixer; S3. Monitor the stirring process of the waste to be stirred, collect the material state parameters and equipment operation parameters at a preset monitoring period, analyze the stirring stability characteristic index of the waste to be stirred in each period, obtain the set ratio adjustment value of the stirring mode for the next period, and thus perform adaptive stirring adjustment of the mixer; S4. Extract the set stirring duration of the mixer, and determine whether the stirring is completed. If the determination result is that the mixer has not completed stirring, analyze the extended stirring duration, and thus control the mixer to continue stirring.

2. The method for supervising the recycling of construction waste according to claim 1, wherein: The specific analysis process of analyzing the associated characteristic values of the pre-stirring mode of the waste to be stirred is as follows: Obtain the characteristic parameters of the waste to be stirred, including the average surface particle size, bulk density, average surface roughness, and surface fineness modulus of the waste to be stirred; Analyze and process the characteristic parameters of the waste to be stirred to obtain the associated characteristic values of the pre-stirring mode of the waste to be stirred. The associated characteristic values of the pre-stirring mode of the waste to be stirred are used to characterize the characteristic state of the waste to be stirred.

3. The method for supervising the recycling of construction waste according to claim 2, wherein: The specific analysis process of determining the pre-stirring mode of the waste to be stirred according to the associated characteristic values of the pre-stirring mode of the waste to be stirred is as follows: The pre-stirring mode includes low-speed premixing and high-speed stirring; Extract the preset associated characteristic threshold of the pre-stirring mode from the database; If the associated characteristic value of the pre-stirring mode of the waste to be stirred is less than or equal to the associated characteristic threshold of the pre-stirring mode, denote the pre-stirring mode of the waste to be stirred as low-speed premixing; If the associated characteristic value of the pre-stirring mode of the waste to be stirred is greater than the associated characteristic threshold of the pre-stirring mode, denote the pre-stirring mode of the waste to be stirred as high-speed stirring.

4. The method for supervising the recycling of construction waste according to claim 2, wherein: The specific analysis process of determining the set of mixer setting parameters and the set ratio value of the stirring mode based on the associated characteristic values of the pre-stirring mode of the waste to be stirred is as follows: Extract the set of setting parameters and the set ratio value corresponding to each interval of the associated characteristic values of the pre-stirring mode stored in the database, and map and extract the set of setting parameters and the set ratio value corresponding to the interval where the associated characteristic value of the pre-stirring mode of the waste to be stirred is located, and denote it as the set of mixer setting parameters and the set ratio value of the periodic stirring mode; The set of mixer setting parameters includes the set stirring duration and the set rotation speed of the mixer; The stirring modes include free stirring, reverse stirring, and spiral stirring; The set ratio value of the periodic stirring mode includes the duration ratio value of free stirring, the duration ratio value of reverse stirring, and the duration ratio value of spiral stirring.

5. The method for supervising the recycling of construction waste according to claim 1, wherein: The specific analysis process of analyzing the stirring stability characteristic index of the waste to be stirred in each period is as follows: Collect the material state parameters and equipment operation parameters at a preset monitoring period, where: The material state parameters include the viscosity change amount, pressure change amount, porosity change amount of the waste to be stirred, and the change amount of the spatial distribution entropy value of the material particles; The material mixing characteristic parameters in each cycle are obtained through analysis and processing of the material state parameters in each cycle; The equipment operation parameters include the torque fluctuation coefficient of the stirring blade, the change rate of the power factor of the stirring motor, the peak frequency of the vibration spectrum of the mixer, and the extreme difference of the change in the operating temperature of the mixer; The equipment operation efficiency evaluation value in each cycle is obtained through analysis and processing of the equipment operation parameters in each cycle; The equipment operation efficiency correction factor in each cycle is extracted according to the equipment operation efficiency evaluation value in each cycle; According to the material mixing characteristic parameters in each cycle and the equipment operation efficiency correction factor in each cycle, the stirring stability characteristic index of the waste to be stirred in each cycle is obtained through analysis and processing. The stirring stability characteristic index of the waste to be stirred in each cycle is used to characterize the stirring stability degree of the waste to be stirred in each cycle.

6. The method for supervising the recycling of construction waste according to claim 5, wherein: The specific analysis process for obtaining the setting ratio adjustment value of the stirring method in the next cycle and thus performing the adaptive stirring adjustment of the mixer is as follows: Extract the setting ratio adjustment value of the stirring method corresponding to each stirring stability characteristic index interval stored in the database, and map and extract the setting ratio adjustment value of the stirring method corresponding to the interval where the stirring stability characteristic index of the waste to be stirred in each cycle is located, which is recorded as the setting ratio adjustment value of the stirring method in the next cycle; Adjust the stirring method ratio according to the stirring method setting ratio value and the setting ratio adjustment value of the stirring method in the next cycle, and thus perform the adaptive stirring adjustment of the mixer.

7. The method for supervising the recycling of construction waste according to claim 1, wherein: The specific analysis process for determining the completion of stirring is as follows: Obtain the actual stirring duration of the mixer. When the actual stirring duration of the mixer is equal to the set stirring duration of the mixer, the determination of the completion of stirring is performed, and thus the determination result of the completion of stirring is obtained; The determination result of the completion of stirring includes that the mixer has completed stirring and the mixer has not completed stirring; Collect the stirring quality parameters of the waste to be stirred. According to the stirring stability characteristic index of the waste to be stirred in each cycle and the stirring quality parameters of the waste to be stirred, the stirring efficiency determination value of the waste to be stirred is obtained through comprehensive analysis and processing; Extract the stirring efficiency determination threshold of the waste to be stirred stored in the database; If the stirring efficiency determination value of the waste to be stirred is greater than the stirring efficiency determination threshold of the waste to be stirred, record the determination result of the completion of stirring as that the mixer has completed stirring; If the stirring efficiency determination value of the waste to be stirred is less than or equal to the stirring efficiency determination threshold of the waste to be stirred, record the determination result of the completion of stirring as that the mixer has not completed stirring.

8. The method for supervising the recycling of construction waste according to claim 7, wherein: The specific analysis process for the stirring efficiency determination value of the waste to be stirred is as follows: Perform mean processing on the stirring stability characteristic indexes of the waste to be stirred in each cycle to obtain the mean value of the stirring stability characteristic indexes of the waste to be stirred; The stirring quality parameters of the waste to be stirred include the density variation coefficient, particle shape consistency coefficient, hardness distribution standard deviation, and aggregate residue ratio of the waste to be stirred; Based on the average value of the stirring stability characteristic index of the waste to be stirred and the stirring quality parameters of the waste to be stirred, the stirring efficiency determination value of the waste to be stirred is analyzed and obtained, and the stirring efficiency determination value of the waste to be stirred is used to characterize the stirring effect of the waste to be stirred.

9. The method for supervising the recycling of construction waste according to claim 1, characterized in that: The stirring extension duration is analyzed, and thus the mixer is controlled to continue stirring. The specific analysis process is as follows: Subtract the stirring efficiency determination value of the waste to be stirred from the stirring efficiency determination threshold value of the waste to be stirred to obtain the stirring efficiency determination deviation value of the waste to be stirred; Extract the extension duration corresponding to the interval where each stirring efficiency determination deviation value stored in the database is located, and map and extract the extension duration corresponding to the interval where the stirring efficiency determination deviation value of the waste to be stirred is located, which is recorded as the stirring extension duration; Control the mixer to continue stirring according to the stirring extension duration.

10. A system applying a supervision method for recycling construction waste as described in any one of claims 1-9, characterized in that, Including: A waste-to-be-stirred analysis module, which is used to record the recyclable construction waste to be stirred as the waste to be stirred, obtain the characteristic parameters of the waste to be stirred, and analyze the pre-stirring mode correlation characteristic values of the waste to be stirred; A mixer setting and starting module, which is used to determine the pre-stirring mode of the waste to be stirred according to the pre-stirring mode correlation characteristic values of the waste to be stirred. The pre-stirring mode includes low-speed premixing and high-speed stirring. Synchronously, based on the pre-stirring mode correlation characteristic values of the waste to be stirred, determine the mixer setting parameter set and the stirring mode setting ratio value, and thus set and start the mixer; A mixer adaptive stirring adjustment module, which is used to monitor the stirring process of the waste to be stirred, collect the material state parameters and equipment operation parameters at a preset monitoring period, analyze the stirring stability characteristic index of the waste to be stirred in each period, and obtain the stirring mode setting ratio adjustment value for the next period, and thus perform mixer adaptive stirring adjustment; A stirring extension analysis module, which is used to extract the set stirring duration of the mixer, determine whether the stirring is completed. If the determination result is that the mixer has not completed stirring, analyze the stirring extension duration, and thus control the mixer to continue stirring.

Images