Intelligent quality monitoring method and system

Abstract

The application provides an intelligent quality monitoring method and system. The method comprises the following steps: a control work unit performs a standard stirring operation on a standard area; and in the process, the stirring torque is analyzed in real time based on quality monitoring, the deviation generated in the stirring process is accurately determined by calculating the torque difference value; the current stirring operation obtained through dynamic training is applied to other stirring areas adjacent to the standard area; when the stirring is not applicable, the area is timely determined as a new standard area again, and dynamic training is performed again. The application at least improves the stirring quality of the work unit.

Description

Technical Field

[0001] This invention relates to data processing technology, and more particularly to an intelligent quality monitoring method and system. Background Technology

[0002] In civil engineering construction, mixing piles are an important foundation treatment technology, widely used in soft soil foundation reinforcement, deep foundation pit support, and embankment protection. The construction quality and efficiency of mixing piles directly affect the safety, stability, and economy of the project. In order to ensure that the construction of mixing piles meets the design requirements, it is usually necessary to strictly monitor the mixing operation of the corresponding mixing piles.

[0003] In actual construction, to form the corresponding mixing piles in the foundation, the foundation is usually excavated first. Then, a suitable working unit is inserted into the hole to perform mixing operations to form the corresponding mixing piles. However, due to various factors such as geological conditions, equipment performance, and operator skill level, the mixing torque of the working unit often deviates from the standard torque. If this deviation is not corrected, it will lead to inconsistent construction quality of the working units, affecting the stability and safety of the overall project.

[0004] Currently, the traditional method for correcting torque deviation is to adjust the stirring operation based on human experience. However, this method is not only inefficient, but also makes it difficult to guarantee the accuracy and consistency of the adjustment, resulting in lower stirring quality. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed to provide an intelligent quality monitoring method and system that overcomes or at least partially solves the above problems.

[0006] According to one aspect of the present invention, an intelligent quality monitoring method is provided, comprising the following steps: The control unit performs standard mixing operations on the mixing area that has been identified as a standard area. Based on the quality monitoring of the work unit, it is determined that there is a torque difference between the stirring torque corresponding to any path progress and the standard torque. The standard stirring operation is then dynamically trained based on the torque difference. The current mixing operation obtained through the dynamic training is executed on other mixing regions that are adjacent to the standard region, and if mixing is not applicable in any other mixing region, that other mixing region is identified as the new standard region.

[0007] Optionally, in the method according to the invention, controlling the execution of standard stirring operations on the stirring area determined as a standard area includes: Based on the survey results, the foundation to be treated is divided into terrains, and each terrain division has terrain attributes, including mud land attributes and rock land attributes. Determine the mixing zones located at intervals in each terrain division, and define the mixing zone closest to the center point of the corresponding terrain division as the standard zone; The control unit performs standard mixing operations corresponding to the terrain attributes of the standard area.

[0008] Optionally, in the method according to the invention, controlling the working unit to perform a standard mixing operation corresponding to the terrain attributes on the standard area includes: The response terrain attribute is muddy, and the control work unit performs standard mixing operations on the standard area based on the retrieved standard data. If the terrain attribute is rock, determine whether there are other terrain types with the corresponding mud attribute that are adjacent to it. When the standard data is not present, the control unit performs standard stirring operations on the standard area based on the product of the retrieved standard data and the attribute conversion coefficient. When present, the attribute transformation coefficients are updated based on the acquired attribute influence coefficients, and the working unit is controlled to perform standard stirring operations on the standard area based on the product of the retrieved standard data and the updated attribute transformation coefficients.

[0009] Optionally, in the method according to the present invention, updating the attribute transformation coefficients based on the acquired attribute influence coefficients includes: The terrain with corresponding rock properties is defined as the first terrain, and the terrain with corresponding mud properties adjacent to the first terrain is defined as the second terrain. The contour overlap value and size comparison value between the first terrain and the second terrain are determined. The contour overlap value and the size comparison value are weighted separately, and the attribute influence coefficient is calculated based on the sum of the first influence value and the second influence value. The attribute transformation coefficients are updated based on the attribute influence coefficient.

[0010] Optionally, in the method according to the present invention, based on the determination of the torque difference between the stirring torque corresponding to any path progress and the standard torque by quality monitoring of the working unit, dynamic training of the standard stirring operation based on the torque difference is performed, including: A mixing path is established based on the bottom and top of the corresponding standard area, and the progress of the standard mixing operation performed by the working unit based on the mixing path is monitored. When quality monitoring determines that there is a torque difference between the stirring torque of a work unit on any path and the standard torque, the path progress is determined as the starting progress, and dynamic training is performed on the remaining path progress based on the torque difference, starting from the starting progress. If there is no torque difference between the stirring torque and the standard torque for any remaining path progress, the path progress is determined as the termination progress, and dynamic training based on the torque difference is stopped for the remaining path progress, starting from the termination progress.

[0011] Optionally, in the method according to the present invention, dynamic training based on torque difference is performed on the remaining path progress, starting from the initial progress, including: The path movement rate corresponding to the starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the path movement speed is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the path movement rate is reduced based on the torque difference.

[0012] Optionally, in the method according to the present invention, dynamic training based on torque difference is performed on the remaining path progress, starting from the initial progress, including: The mixing liquid configuration ratio for the corresponding starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the mixing fluid ratio is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the mixing fluid ratio is reduced based on the torque difference.

[0013] Optionally, in the method according to the invention, the method further includes: A torque buffer zone is established with the stirring torque corresponding to the starting progress as the center value of the interval; The stirring torque for any remaining path progress is determined to be located within the torque buffer zone, and the remaining path progress is subjected to dynamic training based on the torque difference, which is the same as the starting progress.

[0014] Optionally, in the method according to the invention, performing the current stirring operation obtained through the dynamic training on other stirring regions that are adjacent to the standard region, and determining the other stirring region as the new standard region if stirring is unsuitable in any other stirring region, includes: Obtain the regional distance between other mixing zones located around the standard zone and the standard zone, and group mixing zones with the same regional distance into the same regional group; Based on the principle of proximity, each region group is sequentially determined to be adjacent to the standard region, and the working unit is controlled to execute the current stirring operation obtained through dynamic training on all stirring regions located in each region group. If the first mixing region in any region group that performs the current mixing operation is found to be unsuitable for mixing, then that mixing region is designated as the new standard region.

[0015] Optionally, in the method according to the invention, determining that the first stirring region corresponding to the current stirring operation in any region group has a situation where stirring is not applicable, and defining that stirring region as a new standard region, includes: The response is to execute the current stirring operation in any stirring zone within the zone group, by comparing the stirring torque corresponding to that stirring zone with the current torque of the corresponding current stirring operation; If there is a torque difference between the stirring torque corresponding to any path progress and the current torque, then the path progress is determined to be an inapplicable progress. The proportion of inapplicable schedules is determined by superimposing calculations on all inapplicable schedules, and the average difference is calculated based on the average of the maximum and minimum difference values ​​among all torque difference values ​​corresponding to all inapplicable schedules. The inapplicable percentage and the average difference are weighted respectively, and the first evaluation value and the second evaluation value are summed to obtain the inapplicable evaluation value; If the inapplicable evaluation value is determined to be greater than or equal to the preset evaluation threshold, the stirring area is determined as the new standard area.

[0016] According to another aspect of the present invention, an intelligent quality monitoring system is provided, comprising: The standard mixing module is configured to control the working unit to perform standard mixing operations on the mixing area that has been identified as a standard area. The dynamic training model is configured to determine the torque difference between the stirring torque corresponding to any path progress and the standard torque based on the quality monitoring of the work unit, and to perform dynamic training on the standard stirring operation based on the torque difference. The standard update module is configured to perform the current mixing operation obtained through the dynamic training on other mixing areas that are adjacent to the standard area, and to identify the other mixing area as the new standard area if mixing is not applicable in any other mixing area.

[0017] According to the present invention, the server can control the working unit to perform standard mixing operations on a standard area. During this process, the server performs real-time analysis of the mixing torque based on quality monitoring, and accurately determines the deviation generated during mixing by calculating the torque difference. This achieves dynamic training and optimization of the standard mixing operation, thereby improving the accuracy of the mixing operation. Then, the server applies the dynamically trained current mixing operation to other mixing areas adjacent to the standard area, effectively reducing mixing differences between areas and ensuring the uniformity and stability of the overall project quality. It should be noted that when an unsuitable mixing condition is encountered, the server will promptly re-identify the area as a new standard area and re-perform dynamic training, demonstrating flexibility and adaptability. This ensures that the working unit can maintain an efficient and stable operating state in various complex environments. The present invention, through standardized mixing operations, dynamic training based on torque difference, and flexible area adjustment strategies, significantly improves the operating efficiency and mixing quality of the working unit, providing strong technical support and quality assurance for engineering construction. Attached Figure Description

[0018] Figure 1 A flowchart of an intelligent quality monitoring method according to an embodiment of the present invention is shown; Figure 2 A schematic diagram of the working unit in this embodiment is shown; Figure 3 A structural block diagram of an intelligent quality monitoring system according to another embodiment of the present invention is shown. Detailed Implementation

[0019] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0020] To address the problems existing in the aforementioned background technology, the inventors have proposed the solution of this invention. One embodiment of this invention provides an intelligent quality monitoring method, which can be executed in a computing device, wherein the computing device can be understood as a terminal with data processing capabilities, such as a mobile phone or a computer.

[0021] Figure 1 A flowchart of an intelligent quality monitoring method according to an embodiment of the present invention is shown, such as... Figure 1 As shown, the intelligent quality monitoring method proposed in this embodiment begins with step S101, which may include the following: The control unit performs standard mixing operations on the mixing area that has been identified as a standard area.

[0022] It can be explained that in actual construction sites, the formation of mixing piles generally requires specific working units (such as deep mixing machinery) to forcibly mix the corresponding soil, cement, and lime (i.e., the mixing liquid mentioned later) deep in the foundation, thereby hardening the soil and further forming a columnar reinforced body with a certain strength and stability, which is the mixing pile mentioned in this application. This type of pile can improve the bearing capacity of the corresponding foundation by working together with the surrounding soil, thereby reducing foundation settlement.

[0023] In this embodiment, since the construction site often has multiple holes that need to form mixing piles (i.e., the mixing area mentioned in this embodiment), when using the corresponding working unit to mix each mixing area, it is necessary to maximize the mixing efficiency while ensuring that the formed mixing pile has a certain structural strength. Therefore, any mixing area in the construction site can be defined as a standard area. The working unit can then perform the corresponding standard mixing operation on the standard area and store the mixing parameters corresponding to the standard mixing operation. In the subsequent process, the corresponding standard mixing operation can be performed on the remaining mixing areas in sequence. The standard mixing operation can be customized in real time based on the differences of each mixing area to further improve the mixing efficiency while ensuring structural strength.

[0024] For example, such as Figure 2 As shown, Figure 2 A schematic diagram of the working unit in this embodiment is shown. The working unit includes a stirring component and a spraying component. The stirring component is used to stir the standard area, while the spraying component is used to spray the corresponding stirring liquid onto the standard area for reinforcement.

[0025] Furthermore, in this embodiment, the aforementioned "controlling the execution of standard stirring operations on the stirring area identified as a standard area" may further include the following steps: Based on the survey results, the foundation to be treated is divided into terrains, and each terrain division has terrain attributes, including mud land attributes and rock land attributes. Determine the mixing zones located at intervals in each terrain division, and define the mixing zone closest to the center point of the corresponding terrain division as the standard zone; The control unit performs standard mixing operations corresponding to the terrain attributes of the standard area.

[0026] For example, in order to select a mixing area that can be identified as a standard area on the construction site and perform the corresponding standard mixing operation on it, this embodiment can be implemented in the following way: First, based on the survey results of the construction site, the terrain is divided into different sections of the foundation to be treated (i.e., the construction site). This is done according to different geological characteristics and terrain conditions, and the terrain attributes are divided into different sections with specific terrain attributes. These terrain attributes mainly include mud and rock attributes. For example, in a certain construction site, the survey found that some areas have soft soil with high water content, exhibiting typical mud characteristics, while other areas have widespread rock distribution, corresponding to rock attributes. Next, after completing the terrain division, the various mixing zones located at intervals within each terrain division are determined. That is, based on the design requirements of foundation treatment and relevant engineering specifications, the distribution of mixing zones is rationally planned in the terrain divisions of muddy land and rocky land, so that they are arranged at intervals. Furthermore, for each terrain division, the center point of the area is accurately located, and the mixing zone closest to the center point of the area division is determined as the standard area. Taking the soft soil foundation treatment of a road project as an example, in a section of terrain division with muddy land properties, the center point of the area is determined by measurement, and then the mixing zone closest to the center point is found as the standard area. Then, the control unit performs standard mixing operations adapted to the corresponding terrain attributes for the identified standard area. When the standard area is muddy, the control unit operates according to specific mixing parameters for muddy areas, such as path movement speed and mixing fluid ratio, to ensure that the muddy soil and mixing fluid are fully mixed to achieve the expected reinforcement effect. If the standard area is rocky, the control unit adjusts the mixing process according to the characteristics of the rocky terrain, such as adopting a mixing method and corresponding parameters more suitable for broken rocks, and performs standard mixing operations that conform to the rocky terrain attributes. This ensures the quality and stability of the entire foundation treatment project and meets the requirements of various engineering constructions for foundation strength and deformation control.

[0027] In addition, in this embodiment, the above-mentioned "controlling the working unit to perform standard mixing operations corresponding to the terrain attributes of the standard area" may also include the following steps: The response terrain attribute is muddy, and the control work unit performs standard mixing operations on the standard area based on the retrieved standard data. If the terrain attribute is rock, determine whether there are other terrain types with the corresponding mud attribute that are adjacent to it. When the standard data is not present, the control unit performs standard stirring operations on the standard area based on the product of the retrieved standard data and the attribute conversion coefficient. When present, the attribute transformation coefficients are updated based on the acquired attribute influence coefficients, and the working unit is controlled to perform standard stirring operations on the standard area based on the product of the retrieved standard data and the updated attribute transformation coefficients.

[0028] For example, in this embodiment, after determining the standard region, the standard stirring operation for the standard region can be performed based on the following method steps: First, when the terrain attribute of the terrain division is detected to be muddy, standard data that is compatible with the muddy attribute can be retrieved from the pre-built database. Then, the working unit is further controlled to perform standard mixing operations on the corresponding standard area based on the retrieved standard data. For example, in a residential community construction project in a city, a terrain division with muddy attributes is determined through preliminary survey. At this time, standard data such as the path movement speed and mixing liquid configuration ratio applicable to muddy terrain are retrieved from the database. The working unit is then controlled to carry out mixing operations in the standard area of ​​the region to ensure that the muddy soil and the mixing liquid can be fully mixed to improve the foundation strength. Next, if the terrain attribute is determined to be rock, it is necessary to further determine whether there are other adjacent terrain types with the mud attribute. In actual construction scenarios, such as the construction of a mountain highway, some areas have exposed rocks exhibiting rock attributes, while there may be mud attribute areas formed by the accumulation of soft soil due to rainwater erosion. In such cases, this judgment is required. Then, when there are no adjacent mud properties to define the terrain, standard data related to rock properties are retrieved from the database. At the same time, the product of the two is calculated by combining the pre-set property conversion coefficient. Based on the product result, the working unit is controlled to perform standard mixing operations on the standard area. For example, in an independent construction in a remote area, when facing an isolated rock property mixing area, the relevant parameters of the working unit are adjusted by using the product of the standard data of the corresponding mud property and the property conversion coefficient to achieve effective crushing of the rock and mixing with the mixing liquid. When adjacent muddy land attributes are used to define the terrain, the attribute influence coefficient caused by the adjacency relationship is first obtained. This coefficient is then used to update the original attribute conversion coefficient. Subsequently, based on the updated attribute conversion coefficient and the standard data retrieved from the database, the product of the two is calculated. Finally, based on this product, the working unit is controlled to perform standard mixing operations on the standard area. For example, in a large commercial complex construction project, there is a muddy land attribute area around a rock land attribute area. Since the two influence each other, after obtaining the attribute influence coefficient and updating the attribute conversion coefficient, the working unit is controlled in conjunction with the rock land standard data. This ensures the quality and stability of the entire foundation treatment project and meets the stringent requirements of different projects for foundation strength and deformation control.

[0029] Furthermore, in this embodiment, the aforementioned "updating the attribute transformation coefficients based on the acquired attribute influence coefficients" may further include the following steps: The terrain with corresponding rock properties is defined as the first terrain, and the terrain with corresponding mud properties adjacent to the first terrain is defined as the second terrain. The contour overlap value and size comparison value between the first terrain and the second terrain are determined. The contour overlap value and the size comparison value are weighted separately, and the attribute influence coefficient is calculated based on the sum of the first influence value and the second influence value. The attribute transformation coefficients are updated based on the attribute influence coefficient.

[0030] For example, in this embodiment, updating the attribute transformation coefficients based on the attribute influence coefficients can be implemented in the following ways: First, based on the topographical division of the foundation to be treated, the topographical area with rock properties is clearly defined as the first topography, while the topographical area adjacent to the first topography and with muddy soil properties is defined as the second topography. Taking a large port construction project as an example, after surveying and topographical division of its foundation, the area with exposed rock was identified as the first topography, while the muddy soil adjacent to this area with loose soil and high water content was identified as the second topography. Furthermore, surveying and / or data analysis methods are used to accurately determine the contour overlap value and size comparison value between the first and second topologies. The contour overlap value can be obtained by performing overlap analysis on the boundary contours of the two topologies using Geographic Information System (GIS) technology; while the size comparison value can be obtained by measuring the area, length, and other key dimensional parameters of both topologies and performing comparative calculations. Next, weighting is performed on the obtained contour overlap value and size comparison value. Based on the pre-study setting of the influence of these two parameters on foundation treatment under different engineering scenarios, corresponding weight coefficients are assigned to the contour overlap value and the size comparison value. For example, in the foundation construction project of a subway station in a certain city, after expert evaluation and summary of past engineering experience, the weight coefficient of the contour overlap value is determined to be [X] and the weight coefficient of the size comparison value is [Y] in this scenario. Then, the first influence value can be obtained by multiplying the contour overlap value by its weight coefficient; the second influence value can be obtained by multiplying the size comparison value by its weight coefficient. The first influence value and the second influence value are then summed to obtain the attribute influence coefficient. Finally, based on the obtained attribute influence coefficients, the pre-set attribute conversion coefficients are updated. Since the first terrain (rock attribute) and the second terrain (mud attribute) are adjacent to each other, their interaction will affect the foundation treatment process parameters. Therefore, the attribute conversion coefficients originally used for controlling the mixing operation of rock attribute need to be adjusted according to the attribute influence coefficients. For example, in the foundation construction of an industrial plant, the original attribute conversion coefficients are multiplied according to the attribute influence coefficients calculated above to obtain the updated attribute conversion coefficients. This allows for more precise control of the work unit to perform standard mixing operations on the standard rock attribute area based on the updated coefficients and relevant standard data of rock attribute, ensuring that the foundation treatment effect meets the strict requirements of engineering construction for strength, stability, and other aspects, thereby improving the quality and safety of the entire project.

[0031] Step S102 includes the following: Based on the quality monitoring of the working unit, it is determined that there is a torque difference between the stirring torque corresponding to any path progress and the standard torque. The standard stirring operation is then dynamically trained based on the torque difference.

[0032] For example, in this embodiment, since the corresponding standard stirring operation is based on standard data, the path movement speed and stirring fluid configuration ratio of the corresponding work unit obtained based on the standard data are standard values. However, when performing the corresponding standard stirring operation on a standard area based on the standard data, there may be a mismatch between the actual geological conditions of the standard area and the standard data of the corresponding standard stirring operation. For example, since the standard stirring operation on the standard area is based on standard data, that is, the work unit should maintain the same stirring speed at each path progress in performing the standard stirring operation. However, when the work unit performs the standard stirring operation, the stirring torque for any path progress may differ from the standard data due to geological changes in the standard area. The quasi-torque exhibits a torque difference. A positive torque difference indicates that the geological conditions at the current path stage are likely harder, requiring the working unit to overcome greater resistance and thus necessitating greater torsional force, resulting in increased torque. Conversely, a negative torque difference indicates that the geological conditions at the current path stage are likely softer, resulting in less resistance for the working unit and relatively lower torque. When a mismatch occurs, the mixing uniformity may differ across path stages, leading to variations in the strength of the resulting mixing piles. In such cases, dynamic training based on the torque difference is required for the corresponding standard mixing operation to maximize the mixing uniformity for each path stage.

[0033] It should be noted that, in this embodiment, "path progress" can be understood as the degree of progress achieved along a specific operational path during the entire foundation treatment process.

[0034] Furthermore, in this embodiment, the aforementioned "determining the torque difference between the stirring torque corresponding to any path progress and the standard torque based on the quality monitoring of the work unit, and performing dynamic training on the standard stirring operation based on the torque difference" may also include the following steps: A mixing path is established based on the bottom and top of the corresponding standard area, and the progress of the standard mixing operation performed by the working unit based on the mixing path is monitored. When quality monitoring determines that there is a torque difference between the stirring torque of a work unit on any path and the standard torque, the path progress is determined as the starting progress, and dynamic training is performed on the remaining path progress based on the torque difference, starting from the starting progress. If there is no torque difference between the stirring torque and the standard torque for any remaining path progress, the path progress is determined as the termination progress, and dynamic training based on the torque difference is stopped for the remaining path progress, starting from the termination progress.

[0035] For example, in this embodiment, when there is a torque difference between the stirring twist and the standard twist corresponding to any path progress during the quality monitoring of the working unit, dynamic training based on the torque difference can be performed in the following manner: First, for the corresponding standard area, a mixing path is constructed based on the location information of the bottom and top of the area. For example, in a high-rise residential foundation treatment project, for a standard area with rock properties, a path suitable for the work unit to carry out standard mixing operations is planned by accurately measuring the rock layer at the bottom of the area and the design elevation at the top of the area. This path includes key elements such as mixing depth and travel trajectory, aiming to ensure that the work unit can comprehensively and evenly mix the soil in the standard area. Furthermore, the quality monitoring of the progress of the work unit in performing standard mixing operations according to the constructed mixing path can be carried out. For example, professional monitoring equipment such as torque sensors can be used to obtain the mixing torque of the work unit at different progress levels on the mixing path in real time, and compare it with the pre-set standard torque value to evaluate the quality of the mixing operation. Then, when quality monitoring determines that there is a torque difference between the mixing torque and the standard torque of a work unit at any path progress, the path progress is immediately determined as the starting progress. For example, taking the foundation construction of a highway bridge as an example, if during the mixing operation, at 30% of the path progress, the mixing torque is found to be higher than the standard torque by a certain value, i.e., there is a torque difference, then the 30% path progress is set as the starting progress. Therefore, it is necessary to further conduct dynamic training based on the torque difference for the remaining path progress, starting from this starting progress. For example, the path movement speed of the work unit and the mixing fluid configuration ratio can be adjusted according to the magnitude of the torque difference to make the work unit gradually approach the standard torque value in the mixing operation of subsequent path progress, thereby optimizing the mixing process and ensuring that the mixing process for each path progress is in a relatively uniform state, so as to improve the corresponding structural stability. When monitoring the remaining progress of a path reveals that there is no torque difference between the mixing torque and the standard torque for any path, that path is immediately designated as the termination progress. For example, in the aforementioned highway bridge foundation construction, when the path progress reaches 60%, the mixing torque is completely consistent with the standard torque, and there is no torque difference. Therefore, the 60% path progress is designated as the termination progress. Thus, starting from the termination progress, dynamic training based on the torque difference can be stopped for the remaining unfinished path progress. This means that the working unit has been adjusted to the optimal working state, and subsequently, standard mixing operations can be continued according to the current stable parameters until the mixing operation of the entire standard area is completed. This ensures that the foundation treatment effect meets the stringent requirements of engineering construction in terms of strength, stability, and other aspects, guaranteeing the quality and safety of the project.

[0036] Furthermore, in this embodiment, the aforementioned "dynamic training of the remaining path progress based on the torque difference, starting from the initial progress" may further include the following steps: The path movement rate corresponding to the starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the path movement speed is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the path movement rate is reduced based on the torque difference.

[0037] For example, in this embodiment, the dynamic training of the remaining path progress can be implemented based on the following method steps: First, during the standard mixing operation performed by the work unit, the path movement rate can be accurately determined based on the established mixing process and the corresponding starting progress. For example, in the foundation construction of a large commercial complex, when dynamic training based on torque difference is started with 30% of the path progress as the starting progress, the movement rate of the work unit along the mixing path during the standard mixing operation at this stage can be determined simultaneously. It can be noted that this path movement rate is directly related to the efficiency and effect of the mixing operation and is one of the key parameters to ensure the uniformity of the foundation treatment. Since the work unit may dynamically adjust the path movement rate based on the obtained torque difference during the standard mixing operation, the latest path movement rate needs to be obtained when each path progress is determined as the starting progress. Next, during the continuous mixing operation, the mixing torque data is monitored in real time and compared with the pre-set standard torque. When the monitoring determines that the mixing torque is less than the standard torque, the path movement speed is increased based on the torque difference. For example, in a soft soil foundation treatment project for a highway, if the mixing torque is found to be lower than the standard torque at a certain stage, it means that the mixing force of the working unit on the soil at the current path movement speed is relatively insufficient. To compensate for this difference, the path movement speed can be increased proportionally according to the magnitude of the torque difference. For example, if the torque difference is 10% of the standard torque, the path movement speed can be increased by 10% after dynamic training, so that the working unit can reduce the number of times it mixes the surrounding area, reduce the mixing force, and improve the uniformity of the foundation treatment. Finally, when the monitoring results show that the mixing torque is greater than the standard torque, the path movement rate is reduced based on the torque difference. For example, taking the foundation construction of a city rail transit station as an example, if the mixing torque is found to be higher than the standard torque during the mixing operation, it indicates that the mixing force of the working unit on the soil is small at the current path movement rate. At this time, the path movement rate is reduced accordingly based on the torque difference. If the torque difference is 15% of the standard torque, the path movement rate can be reduced by 15% after dynamic training, so that the working unit can mix the surrounding area with more mixing times during a slower movement, thereby improving the uniformity of the foundation treatment.

[0038] Similarly, in addition to the path movement rate mentioned above, dynamic training based on torque difference can also be achieved based on the mixing fluid configuration ratio. Therefore, in this embodiment, the following steps may be further included: The mixing liquid configuration ratio for the corresponding starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the mixing fluid ratio is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the mixing fluid ratio is reduced based on the torque difference.

[0039] For example, in this embodiment, the dynamic training based on the mixing liquid configuration ratio described above can be achieved through the following method steps: First, based on the pre-set standard mixing operation parameters, combined with the geological characteristics and design requirements of the corresponding starting point progress, the ratio parameters of the curing agent and soil in the mixing liquid are determined. For example, in a deep foundation pit reinforcement project of a subway station, based on the physical and mechanical properties of the soil in the area, such as water content and plasticity index, as well as the pile strength requirements specified in the design, the optimal mass ratio of cement to original soil in the mixing liquid is determined through laboratory mixing tests or engineering empirical formulas. Next, during the dynamic training process of the working unit, the specific vertical position corresponding to the mixing torque is monitored in real time. When the mixing torque is found to be less than the standard torque, the mixing fluid configuration ratio is increased according to the preset adjustment rules based on the current torque difference. For example, if the measured torque is 12% lower than the standard value, the server analysis determines that the insufficient amount of winch is causing the soil bonding strength to be low. At this time, the amount of curing agent in the mixing fluid is increased from the original design of 15% to 17% to enhance the bonding effect of the soil and promote the mixing torque to return to the standard range. Then, when the stirring torque is detected to exceed the standard torque, the mixing fluid ratio is reduced based on the torque difference. For example, if the stirring torque is found to exceed the standard value by 18%, it may be due to an excessive amount of curing agent causing a sudden change in soil stiffness. In this case, the curing agent dosage can be reduced from 20% to 18%, and the water-cement ratio can be adjusted simultaneously to restore the torque value to a reasonable range during the mixing process, thus avoiding the impact on construction quality due to excessively rapid soil hardening.

[0040] In addition, in order to allow for reasonable fluctuations in the mixing torque to a certain extent and avoid frequent and unnecessary parameter adjustments due to excessive pursuit of absolute standard torque values, thereby improving construction efficiency, this embodiment may further include the following steps: A torque buffer zone is established with the stirring torque corresponding to the starting progress as the center value of the interval; The stirring torque for any remaining path progress is determined to be located within the torque buffer zone, and the remaining path progress is subjected to dynamic training based on the torque difference, which is the same as the starting progress.

[0041] For example, in this embodiment, firstly, a torque buffer zone is constructed using the mixing torque corresponding to the starting progress as the center value of the interval. In actual engineering operations, such as in the foundation treatment project of a large industrial plant, when the starting progress is determined to be 40% of the path progress, the specific verticality corresponding to the mixing torque of the working unit at this starting progress is obtained. Based on engineering experience and the requirements for the stability of the mixing process, a reasonable torque fluctuation range is set with this mixing torque as the center, thereby establishing a torque buffer zone. Assuming the mixing torque at the starting progress is M, based on past similar project data and on-site soil characteristics analysis, the torque buffer zone is set as [M-5%, M+5%]. The establishment of this interval aims to provide a certain elastic range for the mixing torque to cope with the minor fluctuations that may occur during construction and ensure the smooth progress of the mixing operation. Next, as the work unit continues operating along the mixing path, the mixing torque for any remaining path progress is monitored in real time, and it is determined whether it is within the established torque buffer zone. For example, when the path progress reaches 55%, the measuring mixing torque at this time is N, and N is compared with the previously established torque buffer zone. Then, if it is determined that the stirring torque of any remaining path progress is within the torque buffer zone, dynamic training based on the torque difference is performed on that remaining path progress in the same way as the starting progress. This means that when the stirring torque of a certain path progress is within a reasonable fluctuation range, it is still necessary to operate according to the optimization strategy set for the starting progress. For example, if the stirring torque N corresponding to 55% of the path progress is within the torque buffer zone, then just like at the starting progress, the path movement rate and other parameters of the working unit are adjusted and optimized according to the difference between the current stirring torque and the standard torque. For example, if the difference is 8% of the standard torque, then the path movement rate is increased or decreased accordingly according to the pre-set adjustment rules to further improve the stability and processing effect of the stirring operation. It can be explained that, based on the above, the path progress within the torque buffer zone can be dynamically trained to be the same as the starting progress, which can ensure the continuity and consistency of the entire mixing process, help improve the stability of the foundation treatment quality, and enable the foundation to better meet the strict requirements of engineering construction in terms of strength and uniformity, thus ensuring the overall safety and reliability of the project and reducing potential engineering hazards and maintenance costs caused by improper foundation treatment.

[0042] Step S103 includes the following: The current mixing operation obtained through the dynamic training is executed on other mixing regions that are adjacent to the standard region, and if mixing is not applicable in any other mixing region, that other mixing region is identified as the new standard region.

[0043] For example, in this embodiment, after completing the standard mixing operation for the standard area to obtain the current mixing operation, since other mixing areas that are adjacent to the standard area may have similar geological conditions, the mixing can be performed on other mixing areas in sequence based on the current mixing operation to improve the overall work efficiency. During the process, if a certain mixing area is not suitable for the current mixing operation, it indicates that there may be a large degree of geological change between the mixing area and the standard area. At this time, the mixing area can be re-determined as the new standard area, so that the standard mixing operation can be dynamically trained again based on the aforementioned steps.

[0044] Furthermore, in this embodiment, the aforementioned "exercising the current stirring operation obtained through the dynamic training on other stirring areas that are adjacent to the standard area, and determining the other stirring area as the new standard area if stirring is not applicable in any other stirring area" may also include the following steps: Obtain the regional distance between other mixing zones located around the standard zone and the standard zone, and group mixing zones with the same regional distance into the same regional group; Based on the principle of proximity, each region group is sequentially determined to be adjacent to the standard region, and the working unit is controlled to execute the current stirring operation obtained through dynamic training on all stirring regions located in each region group. If the first mixing region in any region group that performs the current mixing operation is found to be unsuitable for mixing, then that mixing region is designated as the new standard region.

[0045] For example, in this embodiment, the redetering of the standard region can be achieved based on the following method steps: First, it is necessary to obtain the distance between other mixing areas around the standard area and the standard area. That is, for the many planned mixing areas around the standard area, the distance between each of them and the standard area in the plane direction needs to be measured one by one. Then, based on the measured distance, mixing areas with the same distance can be divided into the same area group. For example, if it is found that several mixing areas are 5 meters away from the standard area, these mixing areas will be grouped together. In this way, many mixing areas are reasonably divided into different area groups, which facilitates the orderly conduct of subsequent mixing operations. Next, following the order from nearest to farthest, each area group is identified as having a proximity relationship with the standard area. This means that the area group closest to the standard area is identified as having a proximity relationship first, and then the groups are identified in ascending order of distance. Taking a municipal road foundation construction project as an example, after the area grouping is completed, the mixing area closest to the standard area is included in the category of proximity relationship with the standard area first due to its location advantage, and the subsequent groups follow in sequence. Furthermore, by controlling the work unit, the current mixing operation obtained through dynamic training is executed on all mixing areas in each area group. During the dynamic training process, various parameters of the work unit, such as path movement speed and mixing liquid configuration ratio, have been optimized and adjusted based on previous operating experience and actual construction feedback. At this time, the optimized current mixing operation is applied to the mixing areas in each area group to ensure that the foundation treatment effect in different areas can reach a high standard and improve the corresponding work efficiency. Finally, during the execution of the current mixing operation in each area group within the work unit, the operation status is monitored in real time. If it is determined that the first area in any area group to be performing the current mixing operation is unsuitable for mixing, that area is immediately designated as a new standard area. For example, in the foundation construction of a commercial plaza, when the current mixing operation is performed on the first area in a certain area group, it is found that due to the special soil conditions in that area, the existing mixing operation cannot achieve the expected mixing effect. At this time, that area is redesignated as a new standard area. Subsequently, based on the new standard area, a series of parameter optimizations, area groupings, and mixing operation adjustments are carried out to ensure the smooth progress of the entire foundation treatment project.

[0046] Furthermore, in this embodiment, the aforementioned step of "determining that the first stirring region corresponding to any group of regions performing the current stirring operation is unsuitable for stirring, and determining that stirring region as a new standard region" may further include the following steps: The response is to execute the current stirring operation in any stirring zone within the zone group, by comparing the stirring torque corresponding to that stirring zone with the current torque of the corresponding current stirring operation; If there is a torque difference between the stirring torque corresponding to any path progress and the current torque, then the path progress is determined to be an inapplicable progress. The proportion of inapplicable schedules is determined by superimposing calculations on all inapplicable schedules, and the average difference is calculated based on the average of the maximum and minimum difference values ​​among all torque difference values ​​corresponding to all inapplicable schedules. The inapplicable percentage and the average difference are weighted respectively, and the first evaluation value and the second evaluation value are summed to obtain the inapplicable evaluation value; If the inapplicable evaluation value is determined to be greater than or equal to the preset evaluation threshold, the stirring area is determined as the new standard area.

[0047] For example, in this embodiment, the determination that stirring is not applicable can be achieved specifically based on the following method steps: First, when the working unit performs the current stirring operation on any stirring area within the area group, it can collect the stirring torque of the stirring area at each path progress in real time based on similar steps as described above, and compare and analyze it with the current torque corresponding to the current stirring operation. Next, if it is found that the stirring torque of any path progress has a torque difference that exceeds the allowable deviation range from the current torque, then the path progress is marked as an unsuitable progress. Subsequently, a quantitative analysis was performed based on all marked inapplicable progress: on the one hand, the percentage of inapplicable progress in the total path progress of the mixing area was calculated, i.e., the inapplicable percentage; on the other hand, the torque difference corresponding to all inapplicable progress was extracted, and the arithmetic mean of the maximum and minimum difference was calculated to obtain the average difference. For example, if there are 5 inapplicable progresses in a mixing area, and their torque differences are +12%, -18%, +9%, -15%, and +10%, then the average difference is (18+15) / 2=16.5%. Then, in order to conduct a comprehensive evaluation based on the inapplicability percentage and the mean difference in subsequent processes, the inapplicability percentage and the mean difference can be normalized accordingly. Different weights can then be assigned to the normalized inapplicability percentage and the mean difference for weighted calculation. The weighted first evaluation value and the second evaluation value can then be arithmetically summed to obtain the inapplicability evaluation value that comprehensively reflects the construction quality of the mixing area. For example, based on the geological complexity, the weight of the inapplicability percentage can be set to 0.6, and the weight of the mean difference can be set to 0.4. If the inapplicability percentage of a mixing area is 20% (evaluation value 0.2 × 0.6 = 0.12) and the mean difference is 16.5% (evaluation value 0.165 × 0.4 = 0.066), then the inapplicability evaluation value is 0.186. Finally, the calculated inapplicable evaluation value is compared with the pre-set evaluation threshold. If the inapplicable evaluation value is greater than or equal to the threshold, it is determined that there is a significant construction quality problem in the mixing area, and it needs to be redefined as a new standard area. The server can then automatically trigger the recalibration process for this area to ensure that subsequent construction parameters are optimized and adjusted based on the new standard area.

[0048] According to the present invention, the server can control the working unit to perform standard mixing operations on a standard area. During this process, the server performs real-time analysis of the mixing torque based on quality monitoring, and accurately determines the deviation generated during mixing by calculating the torque difference. This achieves dynamic training and optimization of the standard mixing operation, thereby improving the accuracy of the mixing operation. Then, the server applies the dynamically trained current mixing operation to other mixing areas adjacent to the standard area, effectively reducing mixing differences between areas and ensuring the uniformity and stability of the overall project quality. It should be noted that when an unsuitable mixing condition is encountered, the server will promptly re-identify the area as a new standard area and re-perform dynamic training, demonstrating flexibility and adaptability. This ensures that the working unit can maintain an efficient and stable operating state in various complex environments. The present invention, through standardized mixing operations, dynamic training based on torque difference, and flexible area adjustment strategies, significantly improves the operating efficiency and mixing quality of the working unit, providing strong technical support and quality assurance for engineering construction.

[0049] Another embodiment of the present invention provides an intelligent quality monitoring system. Figure 3 Its corresponding system block diagram, such as Figure 3 As shown, the system includes: The standard mixing module is configured to control the working unit to perform standard mixing operations on the mixing area that has been identified as a standard area. The dynamic training model is configured to determine the torque difference between the stirring torque corresponding to any path progress and the standard torque based on the quality monitoring of the work unit, and to perform dynamic training on the standard stirring operation based on the torque difference. The standard update module is configured to perform the current mixing operation obtained through the dynamic training on other mixing areas that are adjacent to the standard area, and to identify the other mixing area as the new standard area if mixing is not applicable in any other mixing area.

[0050] In the specification provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used with the examples of this invention. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing preferred embodiments of the invention.

[0051] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0052] Similarly, it should be understood that, in order to streamline this disclosure and aid in understanding one or more of the various aspects of the invention, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof.

[0053] Those skilled in the art will understand that modules, units, or components of the devices disclosed in the examples herein can be arranged in the devices described in this embodiment, or alternatively, can be located in one or more devices different from the devices in this example. The modules in the foregoing examples can be combined into a single module or, in addition, can be divided into multiple sub-modules.

[0054] Those skilled in the art will understand that the modules in the device of the embodiment can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiment can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components.

[0055] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention and form different embodiments.

[0056] Furthermore, some of the embodiments described herein are methods or combinations of method elements that can be implemented by a processor of a computer system or by other means of performing the functions. Therefore, a processor having the necessary instructions for implementing the methods or method elements forms means for implementing the methods or method elements. Furthermore, the elements described herein in the apparatus embodiments are examples of means for implementing the functions performed by elements for the purposes of carrying out the invention.

[0057] As used herein, unless otherwise specified, the use of ordinal numbers such as “first,” “second,” “third,” etc., to describe ordinary objects merely indicates different instances of similar objects and is not intended to imply that the objects being described must have a given order in time, space, ordering, or any other manner.

[0058] Although the invention has been described with reference to a limited number of embodiments, those skilled in the art will understand from the foregoing description that other embodiments are conceivable within the scope of the invention described herein. Furthermore, it should be noted that the language used in this specification has been chosen primarily for readability and edibility purposes, and not for the purpose of explaining or limiting the subject matter of the invention.

Claims

1. An intelligent quality monitoring method, characterized in that, Includes the following steps: The control unit performs standard mixing operations on the mixing area that has been identified as a standard area. Among them, the response terrain attribute is muddy attribute, and the control work unit performs standard mixing operation on the standard area based on the retrieved standard data. If the terrain attribute is rock, determine whether there are other terrain types with the corresponding mud attribute that are adjacent to it. When the standard data is not present, the control unit performs standard stirring operations on the standard area based on the product of the retrieved standard data and the attribute conversion coefficient. When present, the attribute transformation coefficients are updated based on the acquired attribute influence coefficients, and the working unit is controlled to perform standard stirring operations on the standard area based on the product of the retrieved standard data and the updated attribute transformation coefficients. Based on the quality monitoring of the work unit, it is determined that there is a torque difference between the stirring torque corresponding to any path progress and the standard torque. The standard stirring operation is then dynamically trained based on the torque difference. The current mixing operation obtained through the dynamic training is performed on other mixing regions that are adjacent to the standard region, and if mixing is not applicable in any other mixing region, that other mixing region is identified as the new standard region.

2. The intelligent quality monitoring method according to claim 1, characterized in that, Controlling the execution of standard mixing operations in the mixing area designated as a standard area includes: Based on the survey results, the foundation to be treated is divided into terrains, and each terrain division has terrain attributes, including mud land attributes and rock land attributes. Determine the mixing zones located at intervals in each terrain division, and define the mixing zone closest to the center point of the corresponding terrain division as the standard zone; The control unit performs standard mixing operations corresponding to the terrain attributes of the standard area.

3. The intelligent quality monitoring method according to claim 2, characterized in that, The attribute transformation coefficients are updated based on the acquired attribute influence coefficients, including: The terrain with corresponding rock properties is defined as the first terrain, and the terrain with corresponding mud properties adjacent to the first terrain is defined as the second terrain. The contour overlap value and size comparison value between the first terrain and the second terrain are determined. The contour overlap value and the size comparison value are weighted separately, and the attribute influence coefficient is calculated based on the sum of the first influence value and the second influence value. The attribute transformation coefficients are updated based on the attribute influence coefficient.

4. The intelligent quality monitoring method according to claim 1, characterized in that, Based on the quality monitoring of the work unit, it is determined that there is a torque difference between the stirring torque corresponding to any path progress and the standard torque. Dynamic training of the standard stirring operation is then performed based on this torque difference, including: A mixing path is established based on the bottom and top of the corresponding standard area, and the progress of the standard mixing operation performed by the working unit based on the mixing path is monitored. When quality monitoring determines that there is a torque difference between the stirring torque of a work unit on any path and the standard torque, the path progress is determined as the starting progress, and dynamic training is performed on the remaining path progress based on the torque difference, starting from the starting progress. If there is no torque difference between the stirring torque and the standard torque for any remaining path progress, the path progress is determined as the termination progress, and dynamic training based on the torque difference is stopped for the remaining path progress, starting from the termination progress.

5. The intelligent quality monitoring method according to claim 4, characterized in that, Starting from the initial progress, dynamic training is performed on the remaining path progress based on the torque difference, including: The path movement rate corresponding to the starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the path movement speed is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the path movement rate is reduced based on the torque difference.

6. The intelligent quality monitoring method according to claim 4, characterized in that, Starting from the initial progress, dynamic training is performed on the remaining path progress based on the torque difference, including: The mixing liquid configuration ratio for the corresponding starting progress is determined based on standard mixing operations; When it is determined that the stirring torque is less than the standard torsion, the mixing fluid ratio is increased based on the torque difference. When it is determined that the stirring torque is greater than the standard torsion, the mixing fluid ratio is reduced based on the torque difference.

7. The intelligent quality monitoring method according to claim 5 or 6, characterized in that, The method further includes: A torque buffer zone is established with the stirring torque corresponding to the starting progress as the center value of the interval; The stirring torque for any remaining path progress is determined to be located within the torque buffer zone, and the remaining path progress is subjected to dynamic training based on the torque difference, which is the same as the starting progress.

8. The intelligent quality monitoring method according to claim 1, characterized in that, Perform the current mixing operation obtained through the dynamic training on other mixing regions that are adjacent to the standard region, and if mixing is unsuitable in any other mixing region, determine that other mixing region as the new standard region, including: Obtain the regional distance between other mixing zones located around the standard zone and the standard zone, and group mixing zones with the same regional distance into the same regional group; Based on the principle of proximity, each region group is sequentially determined to be adjacent to the standard region, and the working unit is controlled to execute the current stirring operation obtained through dynamic training on all stirring regions located in each region group. If the first mixing region in any region group that performs the current mixing operation is found to be unsuitable for mixing, then that mixing region is designated as the new standard region.

9. The intelligent quality monitoring method according to claim 8, characterized in that, If the first mixing region in any region group that is performing the current mixing operation is found to be unsuitable for mixing, that mixing region is designated as the new standard region, including: The response is to execute the current stirring operation in any stirring zone within the zone group, by comparing the stirring torque corresponding to that stirring zone with the current torque of the corresponding current stirring operation; If there is a torque difference between the stirring torque corresponding to any path progress and the current torque, then the path progress is determined to be an inapplicable progress. The proportion of inapplicable schedules is determined by superimposing calculations on all inapplicable schedules, and the average difference is calculated based on the average of the maximum and minimum difference values ​​among all torque difference values ​​corresponding to all inapplicable schedules. The inapplicable percentage and the average difference are weighted respectively, and the first evaluation value and the second evaluation value are summed to obtain the inapplicable evaluation value; If the inapplicable evaluation value is determined to be greater than or equal to the preset evaluation threshold, the stirring area is determined as the new standard area.

10. An intelligent quality monitoring system, characterized in that, include: The standard mixing module is configured to control the working unit to perform standard mixing operations on the mixing area that has been identified as a standard area. Among them, the response terrain attribute is muddy attribute, and the control work unit performs standard mixing operation on the standard area based on the retrieved standard data. If the terrain attribute is rock, determine whether there are other terrain types with the corresponding mud attribute that are adjacent to it. When the standard data is not present, the control unit performs standard stirring operations on the standard area based on the product of the retrieved standard data and the attribute conversion coefficient. When present, the attribute transformation coefficients are updated based on the acquired attribute influence coefficients, and the working unit is controlled to perform standard stirring operations on the standard area based on the product of the retrieved standard data and the updated attribute transformation coefficients. The dynamic training model is configured to determine the torque difference between the stirring torque corresponding to any path progress and the standard torque based on the quality monitoring of the work unit, and to perform dynamic training on the standard stirring operation based on the torque difference. The standard update module is configured to perform the current mixing operation obtained through the dynamic training on other mixing areas that are adjacent to the standard area, and to identify the other mixing area as the new standard area if mixing is not applicable in any other mixing area.

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