Intelligent concrete quality monitoring system and method

Abstract

The invention relates to the field of concrete quality monitoring, and in particular to an intelligent concrete quality monitoring system and method, which solves the problem that the existing concrete quality monitoring method mainly relies on laboratory personnel detection, has large detection result errors, cannot monitor the batching process and curing process of concrete, and is difficult to meet the real-time and accuracy requirements of modern engineering for concrete quality monitoring; the method can monitor in real time the influencing parameters related to the quality of concrete, namely the batching monitoring parameters and the curing monitoring parameters, and the batching monitoring parameters and the curing monitoring parameters obtained through data analysis can accurately evaluate the concrete quality, realize real-time monitoring and intelligent analysis of concrete quality, improve the accuracy and efficiency of concrete quality monitoring, facilitate operation and monitoring by engineering and technical personnel, and can timely discover and handle quality problems, which has important practical application value for improving the quality of construction projects and ensuring project safety.

Description

Technical Field

[0001] The invention relates to the field of concrete quality monitoring, and in particular to an intelligent concrete quality monitoring system and method. Background Art

[0002] As an important material in construction projects, the quality of concrete is directly related to the safety and durability of the project. Patent application number CN201810680950.1 discloses a concrete quality monitoring system, which involves the monitoring field, including mobile applications, computer programs, cloud disks, thermometers, hygrometers and timers. The mobile application takes a photo or video of the concrete state and uploads it to the cloud disk. The cloud disk stores the concrete photos or videos and synchronizes them to the computer program. The laboratory staff accesses the concrete photos or videos of the cloud disk through the computer program to monitor the concrete quality at any time. The laboratory staff fine-tunes the concrete material ratio in real time according to the actual state of the concrete, combined with the ambient temperature measured by the thermometer, the ambient humidity measured by the hygrometer, and the concrete transportation time calculated by the timer to ensure that the state of the concrete delivered to the construction site for the customer is the best. In addition, when the concrete is unavailable, the photos and videos can be used as evidence to determine the responsible party. However, there are still the following shortcomings: the concrete quality monitoring method mainly relies on laboratory personnel detection, the detection result has a large error, and it is impossible to monitor the batching process and curing process of the concrete, which is difficult to meet the real-time and accuracy requirements of modern engineering for concrete quality monitoring. Therefore, it is of great practical significance to develop an intelligent concrete quality monitoring system and method. Summary of the invention

[0003] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide an intelligent concrete quality monitoring system and method, which solves the problem that the existing concrete quality monitoring method mainly relies on laboratory personnel detection, the detection results have large errors, and the concrete batching process and curing process cannot be monitored, making it difficult to meet the real-time and accuracy requirements of modern engineering for concrete quality monitoring.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] Intelligent concrete quality monitoring system, including:

[0006] The batching monitoring module is used to obtain the batching monitoring parameters of the monitored component i and send the batching monitoring parameters to the monitoring and analysis module; wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD;

[0007] The specific process of the batching monitoring module obtaining the batching monitoring parameters is as follows:

[0008] The components in the concrete formula are marked as monitoring components i in sequence, i=1, 2, 3, ..., m, where m is a positive integer, m represents the total number of types of monitoring components, and i is the number of any monitoring component; wherein the monitoring components include cement, coarse aggregate, fine aggregate, water, admixtures and admixtures;

[0009] Get the preset weight in the formula of monitored component i and mark it as the pre-weight value YZ i, get the actual weighed weight of monitored component i when it is used, and mark it as the actual weight value SZ i, quantify the pre-weight value YZ i and the actual weight value SZ i, extract the values ​​of the pre-weight value YZ i and the actual weight value SZ i, and substitute them into the formula for calculation. Get weight information ZL;

[0010] Obtain the stirring rate and the preset stirring rate when all monitored components i are stirred, obtain the difference between the two, and mark it as the rate value SL, obtain the stirring time and the preset stirring time when all monitored components i are stirred, obtain the difference between the two, and mark it as the duration value SC, quantify the rate value SL and the duration value SC, extract the values ​​of the rate value SL and the duration value SC, and substitute them into the formula for calculation, and obtain the stirring information JB according to the formula JB=b1×SL+b2×SC, wherein b1 and b2 are respectively the preset proportional coefficients corresponding to the rate value SL and the duration value SC, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.58 and b2=0.42;

[0011] Obtain the stirring temperature when all monitored components i are stirred and the preset stirring temperature, obtain the difference between the two, and mark it as temperature information WD;

[0012] Send the weight information ZL, stirring information JB and temperature information WD to the monitoring and analysis module;

[0013] A monitoring and analysis module is used to obtain a batching monitoring coefficient PL according to batching monitoring parameters, and send the batching monitoring coefficient PL to a quality monitoring module;

[0014] The quality monitoring module is used to generate a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and send the batching deviation instruction to the deviation warning module, and send the maintenance monitoring instruction to the maintenance monitoring module;

[0015] The deviation warning module is used to sound the batching deviation warning alarm after receiving the batching deviation instruction.

[0016] As a further solution of the present invention: the specific process of the monitoring and analysis module obtaining the batching monitoring coefficient PL is as follows:

[0017] The weight information ZL, stirring information JB and temperature information WD are quantified, the values ​​of the weight information ZL, stirring information JB and temperature information WD are extracted, and substituted into the formula for calculation. According to the formula Obtain the ingredient monitoring coefficient PL, where e and π are mathematical constants, p1, p2 and p3 are the preset weight factors corresponding to the set weight information ZL, stirring information JB and temperature information WD, respectively, p1, p2 and p3 satisfy p1>p2>p3>1.022, and p1=2.09, p2=1.75, p3=1.31;

[0018] The ingredient monitoring coefficient PL is sent to the quality monitoring module.

[0019] As a further solution of the present invention: the specific process of the quality monitoring module generating the batching deviation instruction or the maintenance monitoring instruction is as follows:

[0020] Compare the batching monitoring coefficient PL with the preset batching monitoring threshold PLy:

[0021] If the batching monitoring coefficient PL ≥ the batching monitoring threshold PLy, a batching deviation instruction is generated and sent to the deviation warning module;

[0022] If the batching monitoring coefficient PL is less than the batching monitoring threshold PLy, a maintenance monitoring instruction is generated and sent to the maintenance monitoring module.

[0023] As a further solution of the present invention: the intelligent concrete quality monitoring system further includes:

[0024] The maintenance monitoring module is used to obtain the maintenance monitoring parameters of the concrete and send the maintenance monitoring parameters to the monitoring and analysis module; wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG.

[0025] As a further solution of the present invention: the specific process of the maintenance monitoring module obtaining the maintenance monitoring parameters is as follows:

[0026] The mixed concrete is poured, and maintenance monitoring is performed after pouring. After receiving the maintenance monitoring instruction, the average temperature and average humidity values ​​of the environment where the concrete is located are obtained, and they are marked as ambient temperature value HW and ambient humidity value HS respectively. The ambient temperature value HW and ambient humidity value HS are quantified, the values ​​of the ambient temperature value HW and ambient humidity value HS are extracted, and they are substituted into the formula for calculation. According to the formula The temperature and humidity information WS is obtained, where h1 and h2 are preset proportional coefficients corresponding to the ambient temperature value HW and the ambient humidity value HS, respectively. h1 and h2 satisfy h1+h2=1, 0 ​

[0027] Get the average wind speed value and average light intensity value in the environment where the concrete is located, and mark them as wind speed value FS and light value GZ respectively, quantify the wind speed value FS and light value GZ, extract the values ​​of wind speed value FS and light value GZ, and substitute them into the formula for calculation. The wind and light information FG is obtained, wherein f1 and f2 are preset proportional coefficients corresponding to the wind speed value FS and the light value GZ, respectively, and f1 and f2 satisfy f1+f2=1, 0<f2<f1<1, and f1=0.61 and f2=0.39;

[0028] The temperature and humidity information WS and the wind and light information FG are sent to the monitoring and analysis module.

[0029] As a further solution of the present invention: the monitoring and analysis module is also used to obtain the maintenance monitoring coefficient YH according to the maintenance monitoring parameters, and send the maintenance monitoring coefficient YH to the quality monitoring module.

[0030] As a further solution of the present invention: the specific process of the monitoring and analysis module obtaining the maintenance monitoring coefficient YH is as follows:

[0031] The temperature and humidity information WS and the wind and light information FG are quantified, the values ​​of the temperature and humidity information WS and the wind and light information FG are extracted, and substituted into the formula for calculation. The maintenance monitoring coefficient YH is obtained, where e and π are mathematical constants, s1 and s2 are preset proportional coefficients corresponding to the temperature and humidity information WS and the wind and light information FG, respectively, s1 and s2 satisfy s1+s2=1, 0<s2<s1<1, and s1=0.53 and s2=0.47;

[0032] The maintenance monitoring coefficient YH is sent to the quality monitoring module.

[0033] As a further solution of the present invention: the quality monitoring module is also used to generate a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and send the maintenance deviation instruction to the deviation warning module.

[0034] As a further solution of the present invention: the specific process of the quality monitoring module generating the maintenance deviation instruction is as follows:

[0035] Compare the maintenance monitoring coefficient YH with the preset maintenance monitoring threshold YHy:

[0036] If the maintenance monitoring coefficient YH≥the maintenance monitoring threshold YHy, a maintenance deviation instruction is generated and sent to the deviation warning module.

[0037] As a further solution of the present invention: an intelligent concrete quality monitoring method comprises the following steps:

[0038] Step S1: the batching monitoring module obtains the batching monitoring parameters of the monitored component i, wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD, and sends the batching monitoring parameters to the monitoring and analysis module;

[0039] Step S2: The monitoring and analysis module obtains the batching monitoring coefficient PL according to the batching monitoring parameters, and sends the batching monitoring coefficient PL to the quality monitoring module;

[0040] Step S3: the quality monitoring module generates a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and sends the batching deviation instruction to the deviation warning module, and sends the maintenance monitoring instruction to the maintenance monitoring module;

[0041] Step S4: after receiving the batching deviation instruction, the deviation warning module sounds the batching deviation warning alarm;

[0042] Step S5: The maintenance monitoring module obtains maintenance monitoring parameters of the concrete, wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG, and sends the maintenance monitoring parameters to the monitoring and analysis module;

[0043] Step S6: The monitoring and analysis module obtains the maintenance monitoring coefficient YH according to the maintenance monitoring parameters, and sends the maintenance monitoring coefficient YH to the quality monitoring module;

[0044] Step S7: the quality monitoring module generates a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and sends the maintenance deviation instruction to the deviation warning module;

[0045] Step S8: After receiving the maintenance deviation instruction, the deviation warning module sounds a maintenance deviation warning alarm.

[0046] Beneficial effects of the present invention:

[0047] The intelligent concrete quality monitoring system and method of the present invention first monitors the batching process of concrete and obtains batching monitoring parameters. The batching monitoring coefficient obtained according to the batching monitoring parameters can comprehensively measure the deviation degree of the batching process, and the larger the batching monitoring coefficient, the higher the deviation degree. Then, the curing process of concrete is monitored and the curing monitoring parameters are obtained. The curing monitoring coefficient obtained according to the curing monitoring parameters can comprehensively measure the deviation degree of the curing process, and the larger the curing monitoring coefficient, the higher the deviation degree. Finally, an early warning is issued.

[0048] The intelligent concrete quality monitoring system and method of the present invention can monitor the quality-related influencing parameters of concrete, namely, batching monitoring parameters and maintenance monitoring parameters, in real time. The batching monitoring parameters and maintenance monitoring parameters obtained through data analysis can accurately evaluate the quality of concrete, thereby realizing real-time monitoring and intelligent analysis of concrete quality, improving the accuracy and efficiency of concrete quality monitoring, facilitating operation and monitoring by engineering and technical personnel, and being able to discover and deal with quality problems in a timely manner. It has important practical application value for improving the quality of construction projects and ensuring project safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is the intelligent concrete quality monitoring system in the present invention;

[0051] Figure 2 This is the intelligent concrete quality monitoring method of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0053] Embodiment 1:

[0054] See also Figure 1 As shown, this embodiment is an intelligent concrete quality monitoring system, which includes the following modules: batching monitoring module, monitoring and analysis module, quality monitoring module, deviation warning module and maintenance monitoring module;

[0055] The batching monitoring module is used to obtain the batching monitoring parameters of the monitored component i and send the batching monitoring parameters to the monitoring and analysis module; wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD;

[0056] The monitoring and analysis module is used to obtain the batching monitoring coefficient PL according to the batching monitoring parameters, and send the batching monitoring coefficient PL to the quality monitoring module; it is also used to obtain the maintenance monitoring coefficient YH according to the maintenance monitoring parameters, and send the maintenance monitoring coefficient YH to the quality monitoring module;

[0057] The quality monitoring module is used to generate a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and send the batching deviation instruction to the deviation warning module, and send the maintenance monitoring instruction to the maintenance monitoring module; it is also used to generate a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and send the maintenance deviation instruction to the deviation warning module;

[0058] The deviation warning module is used to sound a batching deviation warning alarm after receiving a batching deviation instruction; and is also used to sound a maintenance deviation warning alarm after receiving a maintenance deviation instruction;

[0059] The maintenance monitoring module is used to obtain maintenance monitoring parameters of concrete and send the maintenance monitoring parameters to the monitoring and analysis module; the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG.

[0060] Embodiment 2:

[0061] See also Figure 2 As shown, this embodiment is an intelligent concrete quality monitoring method, comprising the following steps:

[0062] Step S1: the batching monitoring module obtains the batching monitoring parameters of the monitored component i, wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD, and sends the batching monitoring parameters to the monitoring and analysis module;

[0063] Step S2: The monitoring and analysis module obtains the batching monitoring coefficient PL according to the batching monitoring parameters, and sends the batching monitoring coefficient PL to the quality monitoring module;

[0064] Step S3: the quality monitoring module generates a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and sends the batching deviation instruction to the deviation warning module, and sends the maintenance monitoring instruction to the maintenance monitoring module;

[0065] Step S4: after receiving the batching deviation instruction, the deviation warning module sounds the batching deviation warning alarm;

[0066] Step S5: The maintenance monitoring module obtains maintenance monitoring parameters of the concrete, wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG, and sends the maintenance monitoring parameters to the monitoring and analysis module;

[0067] Step S6: The monitoring and analysis module obtains the maintenance monitoring coefficient YH according to the maintenance monitoring parameters, and sends the maintenance monitoring coefficient YH to the quality monitoring module;

[0068] Step S7: the quality monitoring module generates a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and sends the maintenance deviation instruction to the deviation warning module;

[0069] Step S8: After receiving the maintenance deviation instruction, the deviation warning module sounds a maintenance deviation warning alarm.

[0070] Embodiment 3:

[0071] Based on any of the above embodiments, Embodiment 3 of the present invention is a batching monitoring module. The function of the batching monitoring module is to obtain batching monitoring parameters, wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD. The specific process is as follows:

[0072] The batching monitoring module marks the components in the concrete formula as monitoring components i in sequence, where i=1, 2, 3, ..., m, where m is a positive integer, m represents the total number of types of monitoring components, and i is the number of any monitoring component; wherein the monitoring components include cement, coarse aggregate, fine aggregate, water, admixtures and admixtures;

[0073] The ingredient monitoring module obtains the preset weight in the formula of the monitored ingredient i and marks it as the pre-weight value YZ i, obtains the actual weighed weight of the monitored ingredient i when it is used, and marks it as the actual weight value SZ i, quantifies the pre-weight value YZ i and the actual weight value SZ i, extracts the values ​​of the pre-weight value YZ i and the actual weight value SZ i, and substitutes them into the formula for calculation. Get weight information ZL;

[0074] The batching monitoring module obtains the stirring rate and the preset stirring rate when all the monitored components i are mixed, obtains the difference between the two, and marks it as the rate value SL, obtains the stirring time and the preset stirring time when all the monitored components i are mixed, obtains the difference between the two, and marks it as the duration value SC, quantifies the rate value SL and the duration value SC, extracts the values ​​of the rate value SL and the duration value SC, and substitutes them into the formula for calculation, and obtains the stirring information JB according to the formula JB=b1×SL+b2×SC, wherein b1 and b2 are respectively the preset proportional coefficients corresponding to the rate value SL and the duration value SC, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.58 and b2=0.42;

[0075] The batching monitoring module obtains the stirring temperature when all monitored ingredients i are mixed and the preset stirring temperature, obtains the difference between the two, and marks it as temperature information WD;

[0076] The batching monitoring module sends the weight information ZL, the stirring information JB and the temperature information WD to the monitoring and analysis module.

[0077] Embodiment 4:

[0078] Based on any of the above embodiments, Embodiment 4 of the present invention is a monitoring and analysis module, and the monitoring and analysis module has two functions;

[0079] One of the functions is to obtain the batching monitoring coefficient PL. The specific process is as follows:

[0080] The monitoring and analysis module quantifies the weight information ZL, stirring information JB and temperature information WD, extracts the values ​​of the weight information ZL, stirring information JB and temperature information WD, and substitutes them into the formula for calculation. Obtain the ingredient monitoring coefficient PL, where e and π are mathematical constants, p1, p2 and p3 are the preset weight factors corresponding to the set weight information ZL, stirring information JB and temperature information WD, respectively, p1, p2 and p3 satisfy p1>p2>p3>1.022, and p1=2.09, p2=1.75, p3=1.31;

[0081] The monitoring and analysis module sends the ingredient monitoring coefficient PL to the quality monitoring module;

[0082] The second function is to obtain the maintenance monitoring coefficient YH. The specific process is as follows:

[0083] The monitoring and analysis module quantifies the temperature and humidity information WS and the wind and light information FG, extracts the values ​​of the temperature and humidity information WS and the wind and light information FG, and substitutes them into the formula for calculation. The maintenance monitoring coefficient YH is obtained, where e and π are mathematical constants, s1 and s2 are preset proportional coefficients corresponding to the temperature and humidity information WS and the wind and light information FG, respectively, s1 and s2 satisfy s1+s2=1, 0<s2<s1<1, and s1=0.53 and s2=0.47;

[0084] The monitoring and analysis module sends the maintenance monitoring coefficient YH to the quality monitoring module.

[0085] Embodiment 5:

[0086] Based on any of the above embodiments, Embodiment 5 of the present invention is a quality monitoring module, and the quality monitoring module has two functions;

[0087] One of the functions is to generate batching deviation instructions or maintenance monitoring instructions. The specific process is as follows:

[0088] The quality monitoring module compares the batching monitoring coefficient PL with the preset batching monitoring threshold PLy:

[0089] If the batching monitoring coefficient PL ≥ the batching monitoring threshold PLy, a batching deviation instruction is generated and sent to the deviation warning module;

[0090] If the batching monitoring coefficient PL is less than the batching monitoring threshold PLy, a maintenance monitoring instruction is generated and sent to the maintenance monitoring module;

[0091] The second function is to generate maintenance deviation instructions. The specific process is as follows:

[0092] The quality monitoring module compares the maintenance monitoring coefficient YH with the preset maintenance monitoring threshold YHy:

[0093] If the maintenance monitoring coefficient YH≥the maintenance monitoring threshold YHy, a maintenance deviation instruction is generated and sent to the deviation warning module.

[0094] Embodiment 6:

[0095] Based on any of the above embodiments, Embodiment 6 of the present invention is a deviation warning module, and the deviation warning module has two functions;

[0096] One function is to sound a batching deviation warning alarm after receiving a batching deviation instruction;

[0097] The second function is to sound a maintenance deviation warning alarm after receiving a maintenance deviation instruction.

[0098] Embodiment 7:

[0099] Based on any of the above embodiments, Embodiment 7 of the present invention is a maintenance monitoring module. The function of the maintenance monitoring module is to obtain maintenance monitoring parameters, wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG. The specific process is as follows:

[0100] The maintenance monitoring module pours the mixed concrete and performs maintenance monitoring after pouring. After receiving the maintenance monitoring instruction, it obtains the average temperature and average humidity values ​​in the environment where the concrete is located, and marks them as ambient temperature value HW and ambient humidity value HS respectively. It quantifies the ambient temperature value HW and ambient humidity value HS, extracts the values ​​of the ambient temperature value HW and ambient humidity value HS, and substitutes them into the formula for calculation. The temperature and humidity information WS is obtained, where h1 and h2 are preset proportional coefficients corresponding to the ambient temperature value HW and the ambient humidity value HS, respectively. h1 and h2 satisfy h1+h2=1, 0

[0101] The maintenance monitoring module obtains the average wind speed value and average light intensity value in the environment where the concrete is located, and marks them as wind speed value FS and light value GZ respectively, quantifies the wind speed value FS and light value GZ, extracts the values ​​of wind speed value FS and light value GZ, and substitutes them into the formula for calculation. ​The wind and light information FG is obtained, wherein f1 and f2 are preset proportional coefficients corresponding to the wind speed value FS and the light value GZ, respectively, and f1 and f2 satisfy f1+f2=1, 0<f2<f1<1, and f1=0.61 and f2=0.39;

[0102] The maintenance monitoring module sends the temperature and humidity information WS and the wind and light information FG to the monitoring and analysis module.

[0103] Based on Examples 1-7, the working principle of the present invention is as follows:

[0104] The batching monitoring parameters of the monitored components are obtained through the batching monitoring module, the batching monitoring coefficient is obtained according to the batching monitoring parameters through the monitoring and analysis module, the batching deviation instruction or the maintenance monitoring instruction is generated according to the batching monitoring coefficient through the quality monitoring module, and the batching deviation warning alarm is sounded after the batching deviation instruction is received through the deviation warning module, the maintenance monitoring parameters of the concrete are obtained through the maintenance monitoring module, the maintenance monitoring coefficient is obtained according to the maintenance monitoring parameters through the monitoring and analysis module, the maintenance deviation instruction is generated according to the maintenance monitoring coefficient through the quality monitoring module, and the maintenance deviation warning alarm is sounded after the maintenance deviation instruction is received through the deviation warning module; the system first monitors the batching process of the concrete to obtain the batching monitoring parameters, and the batching monitoring coefficient obtained according to the batching monitoring parameters can comprehensively measure the deviation degree of the batching process, and the larger the batching monitoring coefficient is, the higher the deviation degree is, and then the concrete curing process is monitored to obtain the curing monitoring parameters, and the curing monitoring coefficient obtained according to the curing monitoring parameters can comprehensively measure the deviation degree of the curing process, and the larger the curing monitoring coefficient is, the higher the deviation degree is, and finally a warning is issued;

[0105] The intelligent concrete quality monitoring system and method of the present invention can monitor the quality-related influencing parameters of concrete, namely, batching monitoring parameters and maintenance monitoring parameters, in real time. The batching monitoring parameters and maintenance monitoring parameters obtained through data analysis can accurately evaluate the quality of concrete, thereby realizing real-time monitoring and intelligent analysis of concrete quality, improving the accuracy and efficiency of concrete quality monitoring, facilitating operation and monitoring by engineering and technical personnel, and being able to discover and deal with quality problems in a timely manner. It has important practical application value for improving the quality of construction projects and ensuring project safety.

[0106] It should be further explained that the above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0107] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0108] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. Intelligent concrete quality monitoring system, characterized by: include: The batching monitoring module is used to obtain the batching monitoring parameters of the monitored component i and send the batching monitoring parameters to the monitoring and analysis module; wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD; The specific process of the batching monitoring module obtaining the batching monitoring parameters is as follows: The components in the concrete formula are marked as monitoring components i in turn; Get the preset weight in the formula of monitoring component i and mark it as the pre-weight value YZi, get the actual weighed weight of monitoring component i when it is used, and mark it as the actual weight value SZi, quantify the pre-weight value YZi and the actual weight value SZi, and use the formula Get weight information ZL; Obtain the stirring rate when all monitored components i are stirred and the preset stirring rate, obtain the difference between the two, and mark it as the rate value SL, obtain the stirring time when all monitored components i are stirred and the preset stirring time, obtain the difference between the two, and mark it as the duration value SC, quantize the rate value SL and the duration value SC, and obtain the stirring information JB according to the formula JB=b1×SL+b2×SC, wherein b1 and b2 are the preset proportional coefficients corresponding to the rate value SL and the duration value SC, respectively; Obtain the stirring temperature when all monitored components i are stirred and the preset stirring temperature, obtain the difference between the two, and mark it as temperature information WD; Send the weight information ZL, stirring information JB and temperature information WD to the monitoring and analysis module; A monitoring and analysis module is used to obtain a batching monitoring coefficient PL according to batching monitoring parameters, and send the batching monitoring coefficient PL to a quality monitoring module; The quality monitoring module is used to generate a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and send the batching deviation instruction to the deviation warning module, and send the maintenance monitoring instruction to the maintenance monitoring module; A deviation warning module, used to sound a batching deviation warning alarm after receiving a batching deviation instruction; The specific process of the monitoring and analysis module obtaining the batching monitoring coefficient PL is as follows: The weight information ZL, stirring information JB and temperature information WD are quantified according to the formula Obtain the ingredient monitoring coefficient PL, where e and π are mathematical constants, and p1, p2 and p3 are preset weight factors corresponding to the set weight information ZL, stirring information JB and temperature information WD respectively; The ingredient monitoring coefficient PL is sent to the quality monitoring module.

2. The intelligent concrete quality monitoring system according to claim 1 is characterized in that: The specific process of the quality monitoring module generating a batching deviation instruction or a maintenance monitoring instruction is as follows: Compare the batching monitoring coefficient PL with the preset batching monitoring threshold PLy: If the batching monitoring coefficient PL ≥ the batching monitoring threshold PLy, a batching deviation instruction is generated and sent to the deviation warning module; If the batching monitoring coefficient PL is less than the batching monitoring threshold PLy, a maintenance monitoring instruction is generated and sent to the maintenance monitoring module.

3. The intelligent concrete quality monitoring system according to claim 1 is characterized in that: Also includes: The maintenance monitoring module is used to obtain the maintenance monitoring parameters of the concrete and send the maintenance monitoring parameters to the monitoring and analysis module; wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG.

4. The intelligent concrete quality monitoring system according to claim 3 is characterized in that: The specific process of the maintenance monitoring module obtaining maintenance monitoring parameters is as follows: The mixed concrete is poured, and maintenance monitoring is performed after pouring. After receiving the maintenance monitoring instruction, the average temperature and average humidity values ​​of the environment where the concrete is located are obtained, and they are marked as ambient temperature value HW and ambient humidity value HS respectively. The ambient temperature value HW and ambient humidity value HS are quantified and calculated according to the formula Get the temperature and humidity information WS, where h1 and h2 are the preset proportional coefficients corresponding to the ambient temperature value HW and the ambient humidity value HS respectively; Get the average wind speed value and average light intensity value in the environment where the concrete is located, and mark them as wind speed value FS and light value GZ respectively. Quantify the wind speed value FS and light value GZ according to the formula Obtaining wind and light information FG, where f1 and f2 are preset proportional coefficients corresponding to wind speed value FS and light value GZ respectively; The temperature and humidity information WS and the wind and light information FG are sent to the monitoring and analysis module.

5. The intelligent concrete quality monitoring system according to claim 1 is characterized in that: The monitoring and analysis module is also used to obtain a maintenance monitoring coefficient YH according to maintenance monitoring parameters, and send the maintenance monitoring coefficient YH to the quality monitoring module.

6. The intelligent concrete quality monitoring system according to claim 5 is characterized in that: The specific process of the monitoring and analysis module obtaining the maintenance monitoring coefficient YH is as follows: The temperature and humidity information WS and the scenery information FG are quantified according to the formula The maintenance monitoring coefficient YH is obtained, where e and π are mathematical constants, s1 and s2 are preset proportional coefficients corresponding to the temperature and humidity information WS and the scenery information FG respectively; The maintenance monitoring coefficient YH is sent to the quality monitoring module.

7. The intelligent concrete quality monitoring system according to claim 1 is characterized in that: The quality monitoring module is also used to generate a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and send the maintenance deviation instruction to the deviation warning module.

8. The intelligent concrete quality monitoring system according to claim 7 is characterized in that: The specific process of the quality monitoring module generating the maintenance deviation instruction is as follows: Compare the maintenance monitoring coefficient YH with the preset maintenance monitoring threshold YHy: If the maintenance monitoring coefficient YH≥the maintenance monitoring threshold YHy, a maintenance deviation instruction is generated and sent to the deviation warning module.

9. An intelligent concrete quality monitoring method, characterized in that: The following steps are involved: Step S1: the batching monitoring module obtains the batching monitoring parameters of the monitored component i, wherein the batching monitoring parameters include weight information ZL, stirring information JB and temperature information WD, and sends the batching monitoring parameters to the monitoring and analysis module; Step S2: the monitoring and analysis module obtains the batching monitoring coefficient PL according to the batching monitoring parameters, and sends the batching monitoring coefficient PL to the quality monitoring module; Step S3: the quality monitoring module generates a batching deviation instruction or a maintenance monitoring instruction according to the batching monitoring coefficient PL, and sends the batching deviation instruction to the deviation warning module, and sends the maintenance monitoring instruction to the maintenance monitoring module; Step S4: after receiving the batching deviation instruction, the deviation warning module sounds the batching deviation warning alarm; Step S5: The maintenance monitoring module obtains maintenance monitoring parameters of the concrete, wherein the maintenance monitoring parameters include temperature and humidity information WS and wind and light information FG, and sends the maintenance monitoring parameters to the monitoring and analysis module; Step S6: The monitoring and analysis module obtains the maintenance monitoring coefficient YH according to the maintenance monitoring parameters, and sends the maintenance monitoring coefficient YH to the quality monitoring module; Step S7: the quality monitoring module generates a maintenance deviation instruction according to the maintenance monitoring coefficient YH, and sends the maintenance deviation instruction to the deviation warning module; Step S8: After receiving the maintenance deviation instruction, the deviation warning module sounds a maintenance deviation warning alarm; The specific process of the monitoring and analysis module obtaining the batching monitoring coefficient PL is as follows: The weight information ZL, stirring information JB and temperature information WD are quantified according to the formula Obtain the ingredient monitoring coefficient PL, where e and π are mathematical constants, and p1, p2 and p3 are preset weight factors corresponding to the set weight information ZL, stirring information JB and temperature information WD respectively; The ingredient monitoring coefficient PL is sent to the quality monitoring module.

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