A traceability management system for high-strength concrete preparation

Abstract

The present invention belongs to the technical field of high-strength concrete quality monitoring, and discloses a high-strength concrete preparation traceability management system, including a concrete quality monitoring module, an ingredient supply quality analysis module, an abnormal ingredient type identification module, a production process quality analysis module, a transportation process quality analysis module, a specific abnormal cause output module, and a data storage library. When there is a quality abnormality in the target batch of high-strength concrete, the present invention conducts a comprehensive analysis from three aspects: ingredient supply quality, production process quality, and transportation process quality. It can accurately locate the root cause of the problem, avoid the blindness of tracing the abnormal situation, and improve the traceability efficiency. When performing ingredient supply quality analysis, the present invention comprehensively considers the correlation between the quality conditions of high-strength concrete of different batches of the same ingredient, which can improve analysis efficiency, quickly lock the problem ingredient, effectively improve the stability of concrete quality, and ensure the smooth progress of the project.

Description

Technical Field

[0001] The invention belongs to the technical field of high-strength concrete quality monitoring and relates to a high-strength concrete preparation traceability management system. Background Art

[0002] High-strength concrete refers to concrete with a strength grade of C60 or above. Compared to ordinary concrete, it possesses numerous superior properties, including higher compressive strength and improved durability. Its high strength stems primarily from the selection of high-quality raw materials, a low water-cement ratio, and the appropriate use of admixtures. The preparation process of high-strength concrete typically includes batching, production, and transportation. By tracing back abnormalities in the quality of high-strength concrete, the quality of raw materials, production processes, and transportation and delivery links can be guaranteed, ensuring the safety of building structures and compliance with quality standards, controlling raw material costs, and optimizing production and transportation costs. Therefore, research on traceability management for high-strength concrete preparation is of great significance.

[0003] There are also related solutions for concrete quality monitoring technology in the existing technology. For example, the Chinese invention patent application for a concrete quality traceability system with publication number CN113139733B includes: a raw material management module, a mix ratio management module, a production management module, a production self-inspection processing module, a transportation management module, a construction site management module, a witness sampling module, a curing room management module, and a detection processing module. It can realize the serial connection of information data of multiple concrete quality monitoring nodes, such as basic data, raw material information, mix ratio information, concrete production data, factory transportation information, witness sampling information, curing data, and sample collection and detection data. This breaks the information transmission barriers existing in traditional technologies and solves the problem of information islands between multiple independent subsystems. It makes the data quality supervision data of the entire concrete process traceable, obtains a more refined and reliable concrete quality management solution, and solves the problem of long concrete quality supervision chain and difficulty in supervision.

[0004] In addition, a Chinese invention patent application with publication number CN111798084A is for a concrete quality tracking and dynamic supervision system and method, which includes: a concrete production data integration management platform, a test data integration management platform and a quality supervision digital processing platform, and the concrete production data integration management platform and the test data integration management platform are connected. The quality supervision digital processing platform is connected to the concrete production data integration management platform and the test data integration management platform respectively. The concrete production data integration management platform is used to track the mixing and pouring conditions of each batch of concrete, and provide real-time query, statistics and analysis through the Internet. The test data integration management platform is used to summarize and dynamically track the test data of each batch of concrete and provide real-time query, statistics and analysis functions through the Internet. The quality supervision digital processing platform is used to process various abnormal noises in the concrete production process in real time and issue alarms, accurately guiding the regulatory authorities to track and handle them.

[0005] Although the above two schemes have proposed some solutions for concrete quality monitoring technology, they still have certain limitations: on the one hand, the existing technical solutions lack comprehensive and step-by-step analysis of the quality of ingredient supply, production process quality and transportation process quality when analyzing abnormal situations. This analysis method leads to the difficulty and complexity of troubleshooting, greatly increases time and cost, reduces the accuracy and efficiency of fault location, causes quality improvement measures to lack specificity, makes it difficult to fundamentally solve the problem, causes one-sided risk assessment, and cannot fully identify potential risks in each link, which seriously hinders the effective control of high-strength concrete quality and the optimization of production management.

[0006] On the other hand, the existing technical solutions lack the analysis of the correlation between abnormal situations of the same ingredients when conducting abnormal situation analysis. This analysis method makes it impossible to grasp the abnormal laws of ingredients from a holistic level, reduces the depth and breadth of the root cause exploration of the problem, results in insufficient ability to handle complex abnormal situations, increases the time cost of troubleshooting, affects the overall construction progress, weakens the early warning ability of potential risks, and cannot prevent possible chain reactions in advance. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a high-strength concrete preparation traceability management system is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: A high-strength concrete preparation traceability management system, including: a concrete quality monitoring module, used to monitor the quality of a target batch of high-strength concrete, obtain quality data of the target batch of high-strength concrete, and determine whether there are quality abnormalities in the target batch of high-strength concrete.

[0009] The ingredient supply quality analysis module is used to extract the ingredient supply log and obtain the ingredient supply quality data of the target batch of high-strength concrete, including the order number corresponding to each ingredient, usage records, and qualified records of the produced high-strength concrete. It analyzes the reference evaluation of the ingredient supply log corresponding to each ingredient of the target batch of high-strength concrete and determines whether each ingredient needs to be quality tested, and determines whether there is any abnormality in the ingredient supply of the target batch of high-strength concrete.

[0010] The abnormal ingredient type identification module is used to further identify the specific abnormal ingredients when it is determined that there is an abnormality in the ingredient supply of the target batch of high-strength concrete.

[0011] The production process quality analysis module is used to extract the production process log and obtain the production process quality data of the target batch of high-strength concrete, including the actual amount of each ingredient, mixing time and mixing temperature, to determine whether there are any abnormalities in the production process of the target batch of high-strength concrete.

[0012] The transportation process quality analysis module is used to extract the transportation process log and obtain the transportation process quality data of the target batch of high-strength concrete, including the transportation environment temperature, transportation time and mixing speed, to determine whether there are any abnormalities in the transportation process of the target batch of high-strength concrete.

[0013] The specific abnormality reason output module is used to output the specific abnormality reason when it is determined that the target batch of high-strength concrete has quality abnormalities. The abnormality reasons include abnormal ingredient supply, abnormal production process and abnormal transportation process.

[0014] Data repository for storing ingredient supply logs, production process logs, and transportation process logs.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When the target batch of high-strength concrete has quality abnormalities, the present invention conducts a comprehensive analysis from three aspects: ingredient supply quality, production process quality, and transportation process quality. This analysis method can accurately locate the root cause of the problem, avoid the blindness of tracing the source of abnormal situations, and improve the efficiency of tracing the source. At the same time, it can specify targeted solutions for specific problems in each link, effectively reduce potential risks, and control risk points in each link in advance, such as evaluating suppliers, maintaining equipment, planning transportation, etc., to effectively ensure the smooth progress of subsequent projects.

[0016] (2) When analyzing the quality of ingredient supply, the present invention comprehensively considers the correlation between the quality conditions of high-strength concrete of different batches of similar ingredients, and does not perform quality inspection on all ingredients. This analysis method can improve analysis efficiency, quickly identify problematic ingredients, avoid comprehensive investigation, save a lot of time and energy, and at the same time accurately control quality, gain in-depth insights into the quality change patterns of ingredients from different batches, and then formulate targeted control measures to effectively improve the stability of concrete quality and ensure the smooth progress of the project.

[0017] (3) When the present invention determines that there is an abnormality in the ingredient supply of the target batch of high-strength concrete, it further identifies the specific abnormal ingredients. This analysis method can accurately locate the source of the problem and quickly lock the ingredients that cause quality abnormalities, avoiding blind replacement or adjustment of all ingredients, and effectively reducing losses caused by quality problems. By identifying the abnormal ingredients, targeted measures can be taken to ensure the progress of the project. In addition, this helps to improve the quality control system, deeply analyze the characteristics of abnormal ingredients, formulate stricter raw material standards for subsequent production, reduce similar problems from the root, and improve the overall quality level and stability of high-strength concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 This is a schematic diagram of the connection of various modules of the system of the present invention.

[0020] Figure 2 This is a flowchart for determining the existence of an abnormality in ingredient supply corresponding to an embodiment provided by the present invention.

[0021] Figure 3 A flowchart for determining the existence of abnormalities in a production process corresponding to an embodiment provided by the present invention.

[0022] Figure 4 A flowchart for determining the existence of abnormalities in a transportation process corresponding to an embodiment provided by the present invention. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0024] See also Figure 1 As shown, the present invention provides a high-strength concrete preparation traceability management system, including a concrete quality monitoring module, a batching supply quality analysis module, an abnormal batching type identification module, a production process quality analysis module, a transportation process quality analysis module, a specific abnormal cause output module and a data storage library, wherein the concrete quality monitoring module is respectively connected to the batching supply quality analysis module, the production process quality analysis module and the transportation process quality analysis module, the batching supply quality analysis module, the production process quality analysis module and the transportation process quality analysis module are all connected to the specific abnormal cause output module, the batching supply quality analysis module is connected to the abnormal batching type identification module, and the data storage library is connected to the concrete quality monitoring module.

[0025] The concrete quality monitoring module is used to monitor the quality of the target batch of high-strength concrete, obtain quality data of the target batch of high-strength concrete, and determine whether the target batch of high-strength concrete has quality abnormalities.

[0026] In a preferred embodiment of the present invention, the quality data of the target batch of high-strength concrete includes slump and expansion, and the specific analysis method is as follows: a slump cone is used to perform multiple slump tests on the target batch of high-strength concrete, and the slump corresponding to each slump test is obtained, and then the slump of the target batch of high-strength concrete is obtained by average calculation.

[0027] It should be added that the specific method of conducting multiple slump tests is as follows: place the slump cone on a flat plate, load the concrete sample into the slump cone in three layers, scrape off excess concrete with a spatula to make it flush with the cone mouth, lift the slump cone vertically, and measure the distance between the top surface of the slump cone and the highest point of the concrete, which is recorded as the slump.

[0028] The slump cone is used to conduct multiple expansion tests on the target batch of high-strength concrete, and the expansion corresponding to each expansion test is obtained, and then the average is calculated to obtain the expansion of the target batch of high-strength concrete.

[0029] It should be added that the specific method of conducting multiple expansion tests is as follows: place the slump cone on a flat plate, load the concrete sample into the slump cone in three layers, scrape off excess concrete with a spatula to make it flush with the cone mouth, lift the slump cone vertically, and after the concrete stops flowing, measure the expansion diameters in two vertical directions with a steel ruler, and calculate the average value as the expansion.

[0030] It should be noted that slump and expansion were chosen as quality indicators for the target batch of high-strength concrete for two reasons: First, they provide a direct reflection of concrete's performance. Slump measures fluidity, ensuring that concrete fills the formwork smoothly during pouring; expansion demonstrates its ability to flow in a planar manner, meeting the demands of complex structural construction. Both also assess pumpability, ensuring smooth pumping and facilitating construction operations. Second, they correlate with the concrete's internal structure. The slump and expansion patterns during testing reflect the concrete's uniformity, specifically the adequacy of the internal aggregate and cement paste distribution. These indicators are crucial for ensuring the quality of high-strength concrete and ensuring smooth construction.

[0031] In a preferred embodiment of the present invention, the specific method of judging whether the target batch of high-strength concrete has quality abnormalities is as follows: extract the collapse and expansion of the target batch of high-strength concrete, which are respectively recorded as 、 .

[0032] Using the formula Analyze and obtain the concrete quality abnormality index of the target batch of high-strength concrete ,in Indicates the preset reference collapse degree, Indicates the preset reference expansion, Indicates the allowable difference between the preset reference collapse and the collapse, Indicates the allowable difference between the preset reference expansion and the expansion. Represent the weight factors corresponding to collapse and expansion respectively.

[0033] For example, .

[0034] It should be noted that the weight factors corresponding to the collapse and expansion are set based on the following: First, based on the importance of the two to the performance of concrete. For vertical structure casting, such as high-rise building columns, collapse is related to whether the formwork can be filled smoothly, so the weight can be higher; for large-volume horizontal structure construction, such as large foundation slabs, expansion is more critical, so the weight should be greater. At the same time, if the concrete is prone to segregation, the weights of the two can be balanced. Second, based on construction process requirements. When using pumping construction, the impact of the two on the smoothness of pumping must be considered at the same time; when manually vibrating, the slump affects the vibration effect, and the weight will be adjusted accordingly. Through these bases, the weights can be set scientifically and the quality of concrete can be accurately controlled.

[0035] The concrete quality anomaly index of the target batch of high-strength concrete is compared with a preset concrete quality anomaly index threshold. If the concrete quality anomaly index of the target batch of high-strength concrete is greater than the concrete quality anomaly index threshold, it is judged that the target batch of high-strength concrete has quality anomalies; otherwise, it is judged that the target batch of high-strength concrete does not have quality anomalies.

[0036] For example, the concrete quality abnormality index threshold is .

[0037] It should be noted that the thresholds for the concrete quality anomaly index are based on: first, concrete design standards and specifications. Different projects have clear requirements for high-strength concrete performance, such as compressive strength and durability, and the thresholds must be set in accordance with these specifications. Second, past project experience is used. By analyzing the relationship between concrete quality and relevant data from a large number of similar projects, the thresholds can be reasonably determined. Finally, experimental research results are also crucial. Testing concrete performance by simulating different conditions in the laboratory provides scientific support for threshold setting.

[0038] The ingredient supply quality analysis module is used to extract the ingredient supply log and obtain the ingredient supply quality data of the target batch of high-strength concrete, including the order number corresponding to each ingredient, the usage record and the qualified status record of the produced high-strength concrete, analyze the reference evaluation of the ingredient supply log corresponding to each ingredient of the target batch of high-strength concrete, determine whether each ingredient needs to be quality tested, and determine whether there is any abnormality in the ingredient supply of the target batch of high-strength concrete.

[0039] In a preferred embodiment of the present invention, the analysis of the reference evaluation of the ingredient supply log corresponding to each ingredient of the target batch of high-strength concrete requires the construction of a reference evaluation index for the ingredient supply log corresponding to each ingredient of the target batch of high-strength concrete. The specific method is as follows: extracting the order number of each ingredient corresponding to the target batch of high-strength concrete, and then obtaining the usage records of each ingredient corresponding to the same order number based on the order number of each ingredient, obtaining the actual usage corresponding to each usage record of each ingredient corresponding to the same order number, and then performing a sum calculation to obtain the actual usage corresponding to each ingredient.

[0040] The actual amount of each ingredient corresponding to the target batch of high-strength concrete is calculated by ratio calculation with the preset reference amount to obtain the ingredient supply log reference evaluation index corresponding to each ingredient.

[0041] It should be noted that the reason for selecting the actual amount of each ingredient as an influencing factor for the corresponding ingredient supply log reference evaluation index is that when the quality of the ingredients is low, the reference value of the ingredient supply log will be greatly weakened. In terms of detection accuracy, a small amount of ingredients cannot easily represent the overall quality. For example, when testing cement strength, a small sample size will amplify random errors, making the recorded data unreliable. In terms of reflecting stability, it is impossible to present quality fluctuations between different batches or time periods. For example, due to insufficient sample size, it is difficult to detect long-term quality changes in sand and gravel aggregates. For admixtures with complex ingredients, a small amount of mass makes it difficult to fully analyze the composition and performance, and it is impossible to accurately determine whether they meet production requirements. In short, low-quality ingredients will seriously affect the reference value of the log and bring potential risks to concrete production.

[0042] In a preferred embodiment of the present invention, the specific method for determining whether each ingredient requires quality testing is as follows: extracting the ingredient supply log reference evaluation index corresponding to each ingredient of the target batch of high-strength concrete, and then comparing it with a preset ingredient supply log reference evaluation index threshold. If the ingredient supply log reference evaluation index corresponding to a certain ingredient of the target batch of high-strength concrete is greater than or equal to the ingredient supply log reference evaluation index threshold, it is determined that the ingredient does not require quality testing; otherwise, it is determined that the ingredient requires quality testing.

[0043] For example, the reference evaluation index threshold of the ingredient supply log is .

[0044] In a preferred embodiment of the present invention, the determination of whether there is an abnormality in the supply of ingredients of the target batch of high-strength concrete requires the construction of a quality abnormality evaluation index corresponding to each ingredient, and the specific method is as follows: ingredients that are determined not to require quality testing are recorded as ingredients that do not require quality testing, the order number of each ingredient that does not require quality testing is extracted, and then based on the order number of each ingredient that does not require quality testing, the qualified condition records of each high-strength concrete corresponding to the same order number for each ingredient that does not require quality testing are obtained, and the qualified conditions corresponding to the qualified condition records of each high-strength concrete corresponding to the same order number for each ingredient that does not require quality testing are obtained, and the number of high-strength concrete qualified condition records with unqualified conditions in the qualified condition records of each high-strength concrete corresponding to the same order number for each ingredient that does not require quality testing is obtained by counting, and recorded as the number of monitoring unqualified records corresponding to each ingredient that does not require quality testing; at the same time, the number of qualified condition records of each high-strength concrete corresponding to the same order number for each ingredient that does not require quality testing is obtained by counting, and recorded as the number of monitoring records.

[0045] The quality abnormality evaluation index corresponding to each ingredient that does not require quality testing is calculated by dividing the number of monitoring unqualified records corresponding to each ingredient that does not require quality testing by the number of monitoring records.

[0046] The ingredients that are judged to need quality testing are recorded as ingredients to be tested, and then each monitoring indicator test is performed on each ingredient to be tested, and the monitoring amount of each monitoring indicator corresponding to each ingredient to be tested is obtained, and then compared with the pre-set reference amount of each monitoring indicator to obtain the monitoring indicator abnormality index of each monitoring indicator of each ingredient to be tested, and then the maximum monitoring indicator abnormality index is selected as the quality abnormality evaluation index corresponding to each ingredient to be tested.

[0047] For example, the ingredients may be cement, yellow sand and river gravel.

[0048] For example, taking cement as an example, the monitoring indicators may be magnesium oxide content and fineness.

[0049] It should be added that the specific method for obtaining the monitoring indicator abnormality index of each monitoring indicator of each ingredient to be tested is: after performing difference calculation on the monitoring quantity of each monitoring indicator corresponding to each ingredient to be tested and the pre-set reference monitoring quantity, the absolute value is taken to obtain the monitoring quantity deviation value of each monitoring indicator corresponding to each ingredient to be tested, and then the ratio calculation is performed with the corresponding reference monitoring quantity to obtain the monitoring indicator abnormality index of each monitoring indicator of each ingredient to be tested.

[0050] In a preferred embodiment of the present invention, please refer to Figure 2As shown, the determination of whether there is an abnormality in the ingredient supply of the target batch of high-strength concrete further includes performing an abnormality determination, specifically by comparing the quality abnormality evaluation index corresponding to each ingredient of the target batch of high-strength concrete that does not require quality testing with the quality abnormality evaluation index of each ingredient to be tested, and selecting the maximum quality abnormality evaluation index as the ingredient supply abnormality index of the target batch of high-strength concrete.

[0051] It should be noted that the reason for selecting the maximum quality anomaly evaluation index as the ingredient supply anomaly index for the target batch of high-strength concrete is: First, it can highlight the most critical issues, quickly locate the ingredients that have the greatest impact on concrete quality, and avoid distraction. For example, when the cement quality anomaly evaluation index is the highest, it is clearly the focus of attention. Second, the index is directly related to quality risk: the higher the value, the greater the quality risk, and it can intuitively reflect the potential harm to concrete performance. Finally, it facilitates quality control decision-making. Quality control personnel can quickly decide whether to adjust the ingredient supply source based on the maximum value, making decisions more targeted and effectively ensuring concrete quality.

[0052] The abnormal index of batching supply of the target batch of high-strength concrete is compared with a preset abnormal index threshold of batching supply to obtain a judgment result of whether there is abnormality in the batching supply of the target batch of high-strength concrete.

[0053] It should be supplemented that the specific method for obtaining the result of determining whether there is an abnormality in the batching supply of the target batch of high-strength concrete is as follows: comparing the batching supply abnormality index of the target batch of high-strength concrete with a preset batching supply abnormality index threshold; if the batching supply abnormality index of the target batch of high-strength concrete is greater than the batching supply abnormality index threshold, it is determined that there is an abnormality in the batching supply of the target batch of high-strength concrete; otherwise, it is determined that there is no abnormality in the batching supply of the target batch of high-strength concrete.

[0054] For example, the threshold value of abnormal index of ingredient supply is .

[0055] It should be noted that the threshold for the abnormality index of batching supply is set based on the following principles: First, concrete performance requirements are considered. For example, in terms of strength, fluctuations in batching must ensure that the concrete strength does not fall below a certain percentage of the design standard; in terms of durability, performance in harsh environments must be considered. Second, the appropriate threshold is determined by combining previous production experience and quality data, reviewing historical abnormalities and conducting statistical analysis of large amounts of quality data. Third, the tolerance range of construction processes and conditions, such as pumping and vibration processes, is considered to ensure that changes in batching quality do not affect the pumpability and vibration performance of the concrete, ensuring that construction progress and quality are not seriously affected, and providing timely warnings before quality issues become serious.

[0056] It should be noted that when conducting ingredient supply quality analysis, the present invention comprehensively considers the correlation between the quality conditions of high-strength concrete of different batches of similar ingredients, and does not perform quality inspections on all ingredients. This analysis method can improve analysis efficiency, quickly identify problem ingredients, avoid comprehensive investigation, save a lot of time and energy, and at the same time accurately control quality, gain in-depth insights into the quality change patterns of ingredients from different batches, and then formulate targeted management and control measures to effectively improve the stability of concrete quality and ensure the smooth progress of the project.

[0057] The abnormal ingredient type identification module is used to further identify specific abnormal ingredients when it is determined that there is an abnormality in the ingredient supply of the target batch of high-strength concrete.

[0058] In a preferred embodiment of the present invention, the method for identifying specific abnormal ingredients is as follows: extract the quality abnormality evaluation index corresponding to each ingredient that does not require quality testing, and then compare it with a pre-set quality abnormality evaluation index threshold. If the quality abnormality evaluation index corresponding to an ingredient that does not require quality testing is greater than the quality abnormality evaluation index threshold, the ingredient that does not require quality testing is identified as an abnormal ingredient.

[0059] For example, the quality abnormality evaluation index threshold is .

[0060] The quality abnormality evaluation index corresponding to each ingredient to be tested is extracted and then compared with the pre-set quality abnormality evaluation index threshold. If the quality abnormality evaluation index corresponding to a certain ingredient to be tested is greater than the quality abnormality evaluation index threshold, the ingredient to be tested is identified as an abnormal ingredient.

[0061] It should be noted that the present invention further identifies specific abnormal ingredients when it is determined that there is an abnormality in the ingredient supply of the target batch of high-strength concrete. This analysis method can accurately locate the source of the problem, quickly lock the ingredients that cause quality abnormalities, avoid blindly replacing or adjusting all ingredients, and effectively reduce losses caused by quality problems. By clarifying the abnormal ingredients, targeted measures can be taken to ensure the progress of the project. In addition, this will help to improve the quality control system, deeply analyze the characteristics of abnormal ingredients, formulate stricter raw material standards for subsequent production, reduce similar problems from the root, and improve the overall quality level and stability of high-strength concrete.

[0062] The production process quality analysis module is used to extract the production process log, obtain the production process quality data of the target batch of high-strength concrete, including the actual amount of each ingredient, mixing time and mixing temperature, and determine whether there are any abnormalities in the production process of the target batch of high-strength concrete.

[0063] In a preferred embodiment of the present invention, the specific method of determining whether there is an abnormality in the production process of the target batch of high-strength concrete is as follows: extract the actual amount of each ingredient corresponding to the target batch of high-strength concrete, and record it as ,in Indicates the number of the ingredient. , Represents the quantity of ingredients, extracts the mixing time corresponding to the target batch of high-strength concrete, and records it as , extract the mixing temperature corresponding to the target batch of high-strength concrete, recorded as .

[0064] Using the formula Analyze and obtain the production process abnormality index of the target batch of high-strength concrete ,in Indicates the reference amount of each ingredient. Indicates the preset suitable stirring time. Indicates the preset suitable stirring temperature. Represents a natural constant.

[0065] It should be noted that the reason for selecting the actual amount of each ingredient, mixing time and mixing temperature as influencing factors of the production process abnormality index of the target batch of high-strength concrete is: the actual amount of ingredients is directly related to the performance of the concrete, and deviations in the amount will lead to problems such as strength and durability. For example, insufficient cement dosage will make it difficult to meet the strength standard. The mixing time affects uniformity. If it is too short, the materials will be difficult to mix evenly, while if it is too long, the concrete structure may be damaged. The mixing temperature is also critical. Too high a temperature will accelerate the hydration reaction and cause the slump to be lost too quickly. Too low a temperature may delay the reaction and affect the setting time. The three factors determine the quality of concrete from different angles and are important indicators reflecting whether the production process is abnormal.

[0066] See also Figure 3 As shown, the production process abnormality index of the target batch of high-strength concrete is compared with a preset production process abnormality index threshold to obtain a judgment result on whether there is any abnormality in the production process of the target batch of high-strength concrete.

[0067] For example, the production process abnormality index threshold is .

[0068] It should be added that the specific method for obtaining the judgment result of whether there is an abnormality in the production process of the target batch of high-strength concrete is: comparing the production process abnormality index of the target batch of high-strength concrete with a preset production process abnormality index threshold. If the production process abnormality index of the target batch of high-strength concrete is greater than the production process abnormality index threshold, it is judged that there is an abnormality in the production process of the target batch of high-strength concrete; otherwise, it is judged that there is no abnormality in the production process of the target batch of high-strength concrete.

[0069] It should be noted that the threshold value of the production process abnormality index is set based on the following: first, the concrete performance standard, which is to ensure that the production process does not damage the key properties of concrete such as strength and durability. For example, the strength must not be lower than a specific proportion of the design strength. Secondly, refer to past production data, and count various indicators during normal and abnormal production to determine the threshold range. For example, if the mixing temperature is within a certain range during normal production, quality problems often occur when it exceeds this range, and the threshold is set accordingly. Finally, considering the construction process requirements, such as the pumping process, abnormalities in the production process cannot affect the pumpability of the concrete, ensuring that the entire construction process proceeds smoothly, thereby ensuring the quality of high-strength concrete.

[0070] The transportation process quality analysis module is used to extract the transportation process log, obtain the transportation process quality data of the target batch of high-strength concrete, including the transportation environment temperature, transportation time and mixing speed, and determine whether there are any abnormalities in the transportation process of the target batch of high-strength concrete.

[0071] In a preferred embodiment of the present invention, the specific method of judging whether there is an abnormality in the transportation process of the target batch of high-strength concrete is as follows: extract the transportation environment temperature, transportation time and stirring speed of the target batch of high-strength concrete, and record them as 、 、 .

[0072] It should be noted that the reasons for selecting transportation temperature, transportation duration, and mixing speed as factors influencing the transportation process abnormality index of the target batch of high-strength concrete are: transportation temperature affects the concrete hydration reaction. High temperatures accelerate hydration and cause rapid slump loss, while low temperatures can cause freezing and damage the structure. Transportation duration affects the aging of concrete. Excessive transportation reduces slump and affects construction performance. Mixing speed is also critical during transportation. Too fast a speed can damage the concrete structure, while too slow a speed can make uniformity impossible and lead to segregation. These three factors affect the quality of concrete during transportation in different ways and are key indicators for evaluating whether the transportation process is abnormal.

[0073] It should be added that the method for obtaining the transportation environment temperature is: using a temperature sensor to obtain the transportation environment temperature data corresponding to the transportation process of the target batch of high-strength concrete in real time, and then setting the temperature monitoring time based on equal intervals to obtain several temperature monitoring times, obtaining the transportation environment temperature at each temperature monitoring time, and then performing an average calculation to obtain the transportation environment temperature corresponding to the transportation process of the target batch of high-strength concrete.

[0074] Similarly, the method for obtaining the transportation time and stirring speed refers to the method for obtaining the transportation environment temperature.

[0075] Using the formula Analyze and obtain the abnormal index of the transportation process of the target batch of high-strength concrete ,in Indicates the preset suitable transportation temperature. Indicates the preset reference transport time threshold. Indicates the preset appropriate stirring speed.

[0076] It's important to note that the reasons for setting an appropriate transportation temperature, reference transportation time threshold, and appropriate mixing speed are: 1. At the appropriate transportation temperature, the concrete hydration reaction can proceed relatively stably, neither slowing down the hydration reaction due to excessively low temperatures nor causing rapid slump loss due to excessively high temperatures. 2. The reference transportation time threshold is affected by multiple factors, including the concrete mix ratio and transportation conditions. This is because the slump of concrete gradually decreases over time. For high-strength concrete, its workability is crucial to construction quality. Excessive transportation time can cause the concrete to dry out, affecting its fluidity and filling properties, and thus its density and strength. 3. An appropriate mixing speed ensures concrete uniformity and prevents segregation. Excessively fast mixing speeds can disrupt the concrete's established flocculation structure, reducing its stability. Conversely, excessively slow mixing speeds can prevent the materials in the concrete from being fully mixed, leading to localized uneven composition.

[0077] For example, the suitable transport temperature is , the reference transport time threshold is , suitable stirring speed is .

[0078] See also Figure 4 As shown, the transportation process abnormality index of the target batch of high-strength concrete is compared with a preset transportation process abnormality index threshold to obtain a judgment result on whether there is any abnormality in the transportation process of the target batch of high-strength concrete.

[0079] It should be added that the specific method for obtaining the judgment result of whether there is any abnormality in the transportation process of the target batch of high-strength concrete is as follows: the transportation process abnormality index of the target batch of high-strength concrete is compared with the preset transportation process abnormality index threshold. If the transportation process abnormality index of the target batch of high-strength concrete is greater than the transportation process abnormality index threshold, it is judged that there is an abnormality in the transportation process of the target batch of high-strength concrete; otherwise, it is judged that there is no abnormality in the transportation process of the target batch of high-strength concrete.

[0080] The specific abnormality reason output module is used to output the specific abnormality reason when it is determined that the target batch of high-strength concrete has quality abnormalities. The abnormality reasons include abnormal material supply, abnormal production process and abnormal transportation process.

[0081] In a preferred embodiment of the present invention, the specific method of outputting the specific abnormal cause is as follows: the judgment result of whether there is an abnormality in the extracted ingredient supply, the judgment result of whether there is an abnormality in the production process, and the judgment result of whether there is an abnormality in the transportation process, and then the specific abnormal cause is output.

[0082] It should be noted that if it is determined that there is an abnormality in the batching supply of the target batch of high-strength concrete, the specific cause of the abnormality is identified as the abnormal batching supply.

[0083] It should be noted that if it is determined that there is an abnormality in the production process of the target batch of high-strength concrete, the specific cause of the abnormality is identified as the abnormality in the production process.

[0084] It should be noted that if it is determined that there is an abnormality in the transportation process of the target batch of high-strength concrete, the specific cause of the abnormality is identified as the abnormality in the transportation process.

[0085] It should be noted that the specific abnormal cause may be one or more of abnormal ingredient supply, abnormal production process and abnormal transportation process.

[0086] It should be noted that when there are quality abnormalities in the target batch of high-strength concrete, the present invention conducts a comprehensive analysis from three aspects: ingredient supply quality, production process quality, and transportation process quality. This analysis method can accurately locate the root cause of the problem, avoid the blindness of tracing the source of abnormal situations, and improve the traceability efficiency. At the same time, it can specify targeted solutions for specific problems in each link, and can effectively reduce potential risks. It can control the risk points of each link in advance, such as evaluating suppliers, maintaining equipment, planning transportation, etc., and effectively ensure the smooth progress of subsequent projects.

[0087] The data repository is used to store ingredient supply logs, production process logs and transportation process logs.

[0088] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A high-strength concrete preparation traceability management system, characterized in that: include: The concrete quality monitoring module determines whether there are any quality abnormalities based on the quality data of the target batch of concrete; The batching supply quality analysis module obtains batching supply quality data through the batching supply log, including the order number corresponding to each ingredient, usage records, and qualified concrete records. It analyzes the batching supply log corresponding to each ingredient for reference evaluation and determines whether quality testing is required and whether there are any abnormalities in the batching supply. Abnormal ingredient type identification module, when it is determined that there is an abnormality in the ingredient supply, it identifies the specific abnormal ingredient; The production process quality analysis module obtains production process quality data based on the production process log, including the actual amount of each ingredient, mixing time and mixing temperature, to determine whether there are any abnormalities in the current production process; The transportation process quality analysis module obtains transportation process quality data based on the transportation process log, including transportation environment temperature, transportation time and mixing speed, to determine whether there are any abnormalities in the transportation process; The specific abnormality reason output module outputs the abnormality reason when it is determined that the concrete has quality abnormalities. The abnormality reasons include abnormal material supply, abnormal production process and abnormal transportation process; Data repository, which stores ingredient supply logs, production process logs, and transportation process logs; The analysis of the reference evaluation of the ingredient supply log corresponding to each ingredient of the target batch of concrete requires the construction of a reference evaluation index of the ingredient supply log corresponding to each ingredient of the target batch of concrete, and the specific method is as follows: Extract the order number of each ingredient corresponding to the target batch of concrete, and then obtain the usage records of each ingredient corresponding to the same order number based on the order number of each ingredient, obtain the actual usage corresponding to each usage record of each ingredient corresponding to the same order number, and then perform summation to obtain the actual usage corresponding to each ingredient; The actual amount of each ingredient is calculated by comparing it with the preset reference amount to obtain the ingredient supply log reference evaluation index corresponding to each ingredient of the target batch of concrete; The specific method of determining whether each ingredient needs to be tested for quality is as follows: The reference evaluation index of the ingredient supply log corresponding to each ingredient of the target batch of concrete is extracted, and then compared with the preset threshold value of the reference evaluation index of the ingredient supply log. If the reference evaluation index of the ingredient supply log corresponding to a certain ingredient of the target batch of concrete is greater than or equal to the threshold value of the reference evaluation index of the ingredient supply log, it is judged that the ingredient does not need to be quality tested; otherwise, it is judged that the ingredient needs to be quality tested.

2. A high-strength concrete preparation traceability management system according to claim 1, characterized in that: The quality data of the target batch of concrete includes collapse and expansion, and the specific analysis method is as follows: The slump cone is used to conduct multiple slump tests on the target batch of concrete, and the slump corresponding to each slump test is obtained, and then the slump of the target batch of concrete is obtained by average calculation; The slump cone is used to conduct multiple expansion tests on the target batch of concrete, and the expansion corresponding to each expansion test is obtained, and then the average is calculated to obtain the expansion of the target batch of concrete.

3. A high-strength concrete preparation traceability management system according to claim 2, characterized in that: The specific method of determining whether the target batch of concrete has quality abnormalities is as follows: Extract the collapse and expansion of the target batch of concrete, calculate relative deviation values ​​with preset reference collapse and reference expansion, respectively, and calculate the ratio of each relative deviation value to the corresponding preset allowable difference between the reference collapse and collapse and the preset allowable difference between the reference expansion and expansion, and assign weight factors corresponding to the collapse and expansion to perform multi-factor weight fusion calculation to obtain the concrete quality abnormality index of the target batch of concrete; The concrete quality anomaly index of the target batch of concrete is compared with a preset concrete quality anomaly index threshold. If the concrete quality anomaly index of the target batch of concrete is greater than the concrete quality anomaly index threshold, it is judged that the target batch of concrete has quality anomaly; otherwise, it is judged that the target batch of concrete does not have quality anomaly.

4. The high-strength concrete preparation traceability management system according to claim 1, characterized in that: To determine whether there is an abnormality in the supply of ingredients for the target batch of concrete, it is necessary to construct a quality abnormality evaluation index corresponding to each ingredient, and the specific method is as follows: Record the ingredients that are determined not to require quality testing as ingredients that do not require quality testing, extract the order number of each ingredient that does not require quality testing, and then obtain the qualified condition records of each concrete corresponding to the same order number for each ingredient that does not require quality testing based on the order number, obtain the qualified conditions corresponding to each qualified condition record of each concrete corresponding to the same order number for each ingredient that does not require quality testing, and count the number of qualified condition records of concrete with unqualified conditions in the qualified condition records of each concrete corresponding to the same order number for each ingredient that does not require quality testing, and record it as the number of unqualified monitoring records corresponding to each ingredient that does not require quality testing; at the same time, count the number of qualified condition records of each concrete corresponding to the same order number for each ingredient that does not require quality testing, and record it as the number of monitoring records; The number of unqualified monitoring records corresponding to each ingredient that does not require quality testing is calculated by dividing the number of monitoring records by the ratio to obtain the quality abnormality evaluation index corresponding to each ingredient that does not require quality testing; The ingredients that are judged to need quality testing are recorded as ingredients to be tested, and then each monitoring indicator test is performed on each ingredient to be tested, and the monitoring amount of each monitoring indicator corresponding to each ingredient to be tested is obtained, and then compared with the pre-set reference amount of each monitoring indicator to obtain the monitoring indicator abnormality index of each monitoring indicator of each ingredient to be tested, and then the maximum monitoring indicator abnormality index is selected as the quality abnormality evaluation index corresponding to each ingredient to be tested.

5. A high-strength concrete preparation traceability management system according to claim 4, characterized in that: The determination of whether there is an abnormality in the batching of concrete in the target batch further includes performing abnormality determination, and the specific method is as follows: Compare the quality abnormality evaluation index corresponding to each ingredient that does not require quality testing of the target batch of concrete with the quality abnormality evaluation index of each ingredient to be tested, and select the maximum quality abnormality evaluation index as the ingredient supply abnormality index of the target batch of concrete; The abnormal index of the batching supply of the target batch of concrete is compared with a preset abnormal index threshold of the batching supply to obtain a judgment result of whether the abnormality exists in the batching supply of the target batch of concrete.

6. A high-strength concrete preparation traceability management system according to claim 5, characterized in that: The method of identifying specific abnormal ingredients is as follows: Extracting the quality abnormality evaluation index corresponding to each ingredient that does not require quality testing, and then comparing it with a preset quality abnormality evaluation index threshold; if the quality abnormality evaluation index corresponding to an ingredient that does not require quality testing is greater than the quality abnormality evaluation index threshold, identifying the ingredient that does not require quality testing as an abnormal ingredient; The quality abnormality evaluation index corresponding to each ingredient to be tested is extracted and then compared with the pre-set quality abnormality evaluation index threshold. If the quality abnormality evaluation index corresponding to a certain ingredient to be tested is greater than the quality abnormality evaluation index threshold, the ingredient to be tested is identified as an abnormal ingredient.

7. The high-strength concrete preparation traceability management system according to claim 1, characterized in that: The specific method for determining whether there is an abnormality in the production process of the target batch of concrete is as follows: Extract the actual amount of each ingredient corresponding to the target batch of concrete, recorded as ,in Indicates the number of the ingredient. , Represents the quantity of ingredients, and extracts the mixing time corresponding to the target batch of concrete, recorded as , extract the mixing temperature corresponding to the target batch of concrete, recorded as ; Using the formula Analyze and obtain the production process abnormality index of the target batch of concrete ,in Indicates the reference amount of each ingredient. Indicates the preset suitable stirring time. Indicates the preset suitable stirring temperature. represents a natural constant; The production process abnormality index of the target batch of concrete is compared with the pre-set production process abnormality index threshold to obtain a judgment result on whether the production process of the target batch of concrete is abnormal.

8. The high-strength concrete preparation traceability management system according to claim 1, characterized in that: The specific method for determining whether there is an abnormality in the transportation process of the target batch of concrete is as follows: The transportation environment temperature, transportation time and mixing speed of the target batch of concrete are extracted and recorded as 、 、 ; Using the normalized index evaluation formula Analyze and obtain the abnormal index of the transportation process of the target batch of concrete ,in Indicates the preset suitable transportation temperature. Indicates the preset reference transport time threshold. Indicates the preset appropriate stirring speed; The transportation process abnormality index of the target batch of concrete is compared with a preset transportation process abnormality index threshold to obtain a judgment result on whether there is any abnormality in the transportation process of the target batch of concrete.

9. The high-strength concrete preparation traceability management system according to claim 1, characterized in that: The specific method for outputting the specific abnormal reason is as follows: The extracted judgment results of whether there are abnormalities in the ingredient supply, whether there are abnormalities in the production process, and whether there are abnormalities in the transportation process are output, and then the specific causes of the abnormalities are output.

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