Mixing station concrete quality supervision method and supervision system

Abstract

The invention relates to the technical field of concrete supervision, and discloses a mixing station concrete quality supervision method and system, and the method comprises the following steps: generating a concrete test block unique number, an associated construction part, a design label and raw material batch information in a mixing station laboratory; dividing strength detection tasks according to the age of 3 days, 7 days and 28 days, and collecting pressure data and tension data under each task; calculating an average value of the pressure / tension data of each task period, and comparing the average value with a design value; if the average value does not reach the standard, judging that the strength is unqualified; if yes, executing the next step; generating a pressure change curve and a tension change curve, and calculating a pressure process parameter and a tension process parameter in combination with a design standard curve: when the pressure change curve and the tension change curve exceed a threshold, judging that a potential risk exists; if all the parameters reach the standard, calculating a pressure-tension ratio curve, and further obtaining a risk coefficient based on the pressure-tension ratio curve; and when a preset threshold range is exceeded, generating a potential risk early warning and associating the potential risk early warning to the construction progress plan.

Description

Technical Field

[0001] This invention relates to the field of concrete monitoring technology, and in particular to a method and system for monitoring the quality of concrete at a mixing plant. Background Technology

[0002] Concrete, as a core material in railway bridge and tunnel engineering, directly affects structural safety. Traditional concrete quality supervision faces three major bottlenecks: Multi-site coordination is difficult: Large-scale projects often have multiple mixing plants along the route, and the test data of each site are stored independently, forming "information silos". The headquarters cannot keep track of the dynamics of concrete quality across the entire line in real time. This is especially true for cross-regional projects such as plateau railways, where differences in temperature and humidity can easily lead to increased strength dispersion.

[0003] Risk lag: Current technologies only compare the average strength at 28 days with the design value (such as the "Standard for Acceptance of Construction Quality of Railway Concrete Engineering" TB10424-2018), but potential risks such as abnormal 3-day / 7-day strength curves and deviations in the pressure-tensile ratio during construction cannot be predicted in advance. For example, abnormal strength development may only be discovered after the tunnel lining has been poured, requiring rework and causing delays in the construction period.

[0004] Disconnected control: Quality data is separated from construction progress. When the laboratory determines that a test block is unqualified, the related construction part may have already been poured, resulting in wasted costs; and there is a lack of traceability mechanism for batches of raw materials such as cement stability and aggregate gradation.

[0005] The existing patent (CN116644992A) proposes an IoT monitoring system, but it does not address the core pain points of construction companies: Differences in risk levels for structural components (such as piers and arches) unique to railway / bridge engineering projects; The dynamic linkage between quality early warning and construction schedule was not achieved; The influence of environmental data such as low temperature at high altitudes and high humidity in tunnels on the intensity curve was not integrated. Summary of the Invention

[0006] This invention provides a method and system for supervising the quality of concrete in a batching plant, in order to solve the problems existing in the current methods for supervising the quality of concrete in batching plants.

[0007] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for supervising the quality of concrete in a mixing plant, comprising the following steps: S1. Generate a unique number for the concrete test block in the batching plant laboratory, and associate it with the construction location, design number and raw material batch information; S2. Divide the strength testing tasks into 3-day, 7-day, and 28-day age periods, and collect pressure and tensile data for each task. S3. Real-time synchronization of data from each mixing plant to the cloud database for centralized management through the headquarters monitoring platform; S4. Calculate the average pressure / tension data for each task period and compare it with the design value: if it does not meet the standard, the strength is deemed unqualified; if it meets the standard, proceed to S5. S5, Generate pressure change curve F i (t) and the tension change curve P i (t), combined with the design standard curve, calculate the pressure process parameter P. F and tensile process parameter P P : S6, when P F or P P When the threshold is exceeded, it is determined that there is a potential risk to the corresponding compressive / tensile strength. S7, if P F With P P If all standards are met, the pressure-tension ratio curve is calculated, and the risk coefficient K is further derived based on the pressure-tension ratio curve. S8. When K exceeds the preset threshold range, a potential risk warning is generated and associated with the construction schedule.

[0008] Optionally, in step S3, The batch information of the raw materials includes cement grade, aggregate particle size, and admixture type; Data acquisition is synchronized with GPS coordinates of the mixing plant and environmental temperature and humidity sensor data.

[0009] Optionally, in step S5, the pressure process parameter P is calculated. F and tensile process parameter P P It satisfies the following relationship: ; ; In the formula, α1, α2, and α3 are all tensile force weighting coefficients, and R F For pressure reference value, F i (t) is the pressure change curve, F si (t) represents the standard pressure variation curve, where β1, β2, and β3 are tension weighting coefficients, and R P P is the reference value for tensile force. i (t) is the tension variation curve, P si (t) is the standard tensile force variation curve, i=1,2,3.

[0010] Optionally, in step S7, the pressure-tension ratio curve G is calculated. i (t) satisfies the following relationship: ; The risk coefficient K is calculated according to the following relationship: ; ; Where λ1, λ2, and λ3 are all weighting coefficients for the pressure-tension ratio, P G R is a parameter representing the change in the pressure-tension ratio. G G is a reference value for the pressure-tension ratio. i (t) is the curve showing the change in the pressure-tension ratio, G si (t) is the curve showing the change in the standard pressure-tension ratio. , , These are the weighting coefficients for the pressure process parameters, tension process parameters, and pressure-tension ratio change process parameters, respectively. > > .

[0011] Optionally, the warning processing in step S8 includes: Automatically pause concrete pouring tasks at the associated construction site; The alert is pushed to the project chief engineer's terminal, triggering the raw material traceability inspection process.

[0012] Optionally, pressure data is obtained by applying pressure to a standard cubic specimen using a press, while tensile data is obtained by testing a specimen with pre-embedded reinforcing bars using a tensile testing machine.

[0013] Secondly, embodiments of this application provide a concrete quality monitoring system for a mixing plant, used to implement any of the methods in the first aspect, including: Experimental data management module: includes a test block number generation unit, a cloud storage unit, and a wireless query unit; Multi-site collaborative unit: Integrates data from mixing plants distributed along railway / bridge lines into the headquarters monitoring platform in real time; Data analysis module: Enforcement strength qualification assessment and potential risk analysis; Construction linkage module: Links risk warnings to the project schedule and dynamically adjusts construction tasks; Mobile terminal display module: Displays test block number, construction location, design strength, risk level, and disposal suggestions in real time.

[0014] Optionally, the test data management module also includes: The raw material inspection data sub-database stores test reports on cement soundness, aggregate gradation, and admixture dosage. The data encryption unit uses the national cryptographic algorithm SM4 to encrypt the test data transmitted to the cloud.

[0015] Optionally, the construction linkage module is configured as follows: When the risk coefficient K of the 28-day-old test block exceeds the standard, the acceptance process of the associated structural parts will be automatically frozen. Generate a database of solutions for handling similar historical engineering cases for reference.

[0016] Optionally, the mobile terminal display module supports: The location of the engineering structure corresponding to the risk test block is located using the BIM model; A heat map showing the concrete quality trend of key components such as tunnel lining and bridge piers.

[0017] Beneficial effects: The concrete quality supervision method for mixing plants provided by this invention can detect abnormal strength development as early as 3 days after the start of the process by analyzing pressure / tension process parameters and ratio curves. It integrates environmental temperature and humidity data to correct thresholds, solving the problem of misjudgment of delayed strength growth in high-altitude and low-temperature environments, and improving the detection rate of potential risks by 40%. When the risk coefficient K exceeds the standard, the construction and acceptance process of related structural parts is automatically frozen to prevent unqualified concrete from flowing into the next process. The warning is pushed to the project chief engineer's terminal, and the risk parts are located by linking the BIM model, shortening the problem response time by 75%. Attached Figure Description

[0018] Figure 1 A flowchart of a preferred embodiment of the concrete quality supervision method for a batching plant according to the present invention; Figure 2 This is a schematic diagram of the concrete quality monitoring system for a batching plant according to a preferred embodiment of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "an" or "a" and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms "connected" or "linked" and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship also changes accordingly.

[0021] Please see Figure 1 This application provides a method for supervising the quality of concrete in a mixing plant, comprising the following steps: S1. Generate a unique number for the concrete test block in the batching plant laboratory, and associate it with the construction location, design number and raw material batch information; S2. Divide the strength testing tasks into 3-day, 7-day, and 28-day age periods, and collect pressure and tensile data for each task. S3. Real-time synchronization of data from each mixing plant to the cloud database for centralized management through the headquarters monitoring platform; S4. Calculate the average pressure / tension data for each task period and compare it with the design value: if it does not meet the standard, the strength is deemed unqualified; if it meets the standard, proceed to S5. S5, Generate pressure change curve F i (t) and the tension change curve P i (t), combined with the design standard curve, calculate the pressure process parameter P. F and tensile process parameter P P : S6, when P F or P P When the threshold is exceeded, it is determined that there is a potential risk to the corresponding compressive / tensile strength. S7, if P F With P P If all standards are met, the pressure-tension ratio curve is calculated, and the risk coefficient K is further derived based on the pressure-tension ratio curve. S8. When K exceeds the preset threshold range, a potential risk warning is generated and associated with the construction schedule.

[0022] Optionally, in step S3, The batch information of the raw materials includes cement grade, aggregate particle size, and admixture type; Data acquisition is synchronized with GPS coordinates of the mixing plant and environmental temperature and humidity sensor data.

[0023] Optionally, in step S5, the pressure process parameter P is calculated. F and tensile process parameter P P It satisfies the following relationship: ; ; In the formula, α1, α2, and α3 are all tensile force weighting coefficients, and R F For pressure reference value, F i (t) is the pressure change curve, F si (t) represents the standard pressure variation curve, where β1, β2, and β3 are tension weighting coefficients, and R P P is the reference value for tensile force. i (t) is the tension variation curve, P si (t) is the standard tensile force variation curve, i=1,2,3.

[0024] Optionally, in step S7, the pressure-tension ratio curve G is calculated. i (t) satisfies the following relationship: ; The risk coefficient K is calculated according to the following relationship: ; ; Where λ1, λ2, and λ3 are all weighting coefficients for the pressure-tension ratio, P G R is a parameter representing the change in the pressure-tension ratio. G G is a reference value for the pressure-tension ratio. i (t) is the curve showing the change in the pressure-tension ratio, G si (t) is the curve showing the change in the standard pressure-tension ratio. , , These are the weighting coefficients for the pressure process parameters, tension process parameters, and pressure-tension ratio change process parameters, respectively. > > .

[0025] Optionally, the warning processing in step S8 includes: Automatically pause concrete pouring tasks at the associated construction site; The alert is pushed to the project chief engineer's terminal, triggering the raw material traceability inspection process.

[0026] Optionally, pressure data is obtained by applying pressure to a standard cubic specimen using a press, while tensile data is obtained by testing a specimen with pre-embedded reinforcing bars using a tensile testing machine.

[0027] Please see Figure 2 This application also provides a concrete quality monitoring system for a batching plant, used to implement any of the methods in the concrete quality monitoring method for a batching plant, including: Experimental data management module: includes a test block number generation unit, a cloud storage unit, and a wireless query unit; Multi-site collaborative unit: Integrates data from mixing plants distributed along railway / bridge lines into the headquarters monitoring platform in real time; Data analysis module: Enforcement strength qualification assessment and potential risk analysis; Construction linkage module: Links risk warnings to the project schedule and dynamically adjusts construction tasks; Mobile terminal display module: Displays test block number, construction location, design strength, risk level, and disposal suggestions in real time.

[0028] Optionally, the test data management module also includes: The raw material inspection data sub-database stores test reports on cement soundness, aggregate gradation, and admixture dosage. The data encryption unit uses the national cryptographic algorithm SM4 to encrypt the test data transmitted to the cloud.

[0029] Optionally, the construction linkage module is configured as follows: When the risk coefficient K of the 28-day-old test block exceeds the standard, the acceptance process of the associated structural parts will be automatically frozen. Generate a database of solutions for handling similar historical engineering cases for reference.

[0030] Optionally, the mobile terminal display module supports: The location of the engineering structure corresponding to the risk test block is located using the BIM model; A heat map showing the concrete quality trend of key components such as tunnel lining and bridge piers.

[0031] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A method for supervising the quality of concrete at a mixing plant, characterized in that, Includes the following steps: S1. Generate a unique number for the concrete test block in the batching plant laboratory, and associate it with the construction location, design number and raw material batch information; S2. Divide the strength testing tasks into 3-day, 7-day, and 28-day age periods, and collect pressure and tensile data for each task. S3. Real-time synchronization of pressure and tension data from each mixing plant to the cloud database for centralized management through the headquarters monitoring platform; S4. Calculate the average value of pressure and tensile data for each task period and compare it with the design value: if it does not meet the standard, the strength is deemed unqualified; if it meets the standard, proceed to S5. S5, Generate pressure change curve F i (t) and the tension change curve P i (t), combined with the design standard curve, calculate the pressure process parameter P. F and tensile process parameter P P : S6, when P F or P P When the threshold is exceeded, it is determined that there is a potential risk to the corresponding compressive / tensile strength. S7, if P F With P P If all standards are met, the pressure-tension ratio curve is calculated, and the risk coefficient K is further derived based on the pressure-tension ratio curve. S8. When K exceeds the preset threshold range, a potential risk warning is generated and associated with the construction schedule.

2. The method for supervising the quality of concrete at a mixing plant according to claim 1, characterized in that, In step S3, The batch information of the raw materials includes cement grade, aggregate particle size, and admixture type; Data acquisition is synchronized with GPS coordinates of the mixing plant and environmental temperature and humidity sensor data.

3. The method for supervising the quality of concrete in a mixing plant according to claim 1, characterized in that, In step S5, the pressure process parameter P is calculated. F and tensile process parameter P P It satisfies the following relationship: ； ； In the formula, α1, α2, and α3 are all tensile force weighting coefficients, and R F For pressure reference value, F i (t) is the pressure change curve, F si (t) represents the standard pressure variation curve, where β1, β2, and β3 are tension weighting coefficients, and R P P is the reference value for tensile force. i (t) is the tension variation curve, P si (t) is the standard tensile force variation curve, i=1,2,3.

4. The method for supervising the quality of concrete in a mixing plant according to claim 1, characterized in that, In step S7, the pressure-tension ratio curve G is calculated. i (t) satisfies the following relationship: ； The risk coefficient K is calculated according to the following relationship: ； ； Where λ1, λ2, and λ3 are all weighting coefficients for the pressure-tension ratio, P G R is a parameter representing the change in the pressure-tension ratio. G G is a reference value for the pressure-tension ratio. i (t) is the curve showing the change in the pressure-tension ratio, G si (t) is the curve showing the change in the standard pressure-tension ratio. , , These are the weighting coefficients for the pressure process parameters, tension process parameters, and pressure-tension ratio change process parameters, respectively. > > .

5. The method for supervising the quality of concrete at a mixing plant according to claim 1, characterized in that, The early warning processing in step S8 includes: Automatically pause concrete pouring tasks at the associated construction site; The alert is pushed to the project chief engineer's terminal, triggering the raw material traceability inspection process.

6. The method for supervising the quality of concrete at a mixing plant according to claim 1, characterized in that, Pressure data is obtained by applying pressure to standard cubic test blocks using a press, while tensile data is obtained by testing test blocks with pre-embedded reinforcing bars using a tensile testing machine.

7. A concrete quality monitoring system for a batching plant, used to implement the method of any one of claims 1-6, characterized in that, include: Experimental data management module: includes a test block number generation unit, a cloud storage unit, and a wireless query unit; Multi-site collaborative unit: Integrates data from mixing plants distributed along railway / bridge lines into the headquarters monitoring platform in real time; Data analysis module: Enforcement strength qualification assessment and potential risk analysis; Construction linkage module: Links risk warnings to the project schedule and dynamically adjusts construction tasks; Mobile terminal display module: Displays test block number, construction location, design strength, risk level, and disposal suggestions in real time.

8. The concrete quality monitoring system for a batching plant according to claim 7, characterized in that, The test data management module also includes: The raw material inspection data sub-database stores test reports on cement soundness, aggregate gradation, and admixture dosage. The data encryption unit uses the national cryptographic algorithm SM4 to encrypt the test data transmitted to the cloud.

9. The concrete quality supervision system for a batching plant according to claim 7, characterized in that, The construction linkage module is configured as follows: When the risk coefficient K of the 28-day-old test block exceeds the standard, the acceptance process of the associated structural parts will be automatically frozen. Generate a database of solutions for handling similar historical engineering cases for reference.

10. The concrete quality monitoring system for a mixing plant according to claim 7, characterized in that, Mobile terminal display module supports: The location of the engineering structure corresponding to the risk test block is located using the BIM model; A heat map showing the concrete quality trend of key components such as tunnel lining and bridge piers.

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