Large-volume concrete wireless temperature measurement system

Abstract

The invention belongs to the technical field of concrete wireless temperature measurement, and provides a mass concrete wireless temperature measurement system, which comprises a temperature monitoring module, an alarm judgment module, a data analysis module and a record storage module, the method comprises the following steps: acquiring temperature detection data of mass concrete in real time through a plurality of temperature sensors uniformly embedded in the mass concrete and a wireless transmission chip, and analyzing the temperature detection data in combination with system time to obtain a temperature change abnormal value; judging whether the overall temperature change of the mass concrete at the moment is abnormal or not according to the temperature change abnormal value, obtaining temperature data in the detection period, analyzing the temperature data to obtain the temperature abnormal value of the detection point in the detection period, and obtaining the temperature of the mass concrete through data analysis based on the temperature abnormal value of the detection point. The temperature recording report is generated for the mass concrete and stored, overall temperature detection and analysis of the mass concrete are facilitated, constructors can better master the performance state of the concrete, and the quality of the concrete is ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of wireless temperature measurement of concrete, in particular to a wireless temperature measurement system for large-volume concrete. Background Art

[0002] With the rapid development of my country's infrastructure construction and real estate industry, mass concrete has been widely used in bridges, dams, high-rise buildings and other large-scale projects. However, during the construction process and the later maintenance stage, mass concrete faces risks such as cracks and deformation caused by temperature changes, which seriously threaten the quality and safety of the project. Therefore, real-time monitoring of the temperature of mass concrete is particularly important.

[0003] A Chinese patent application with publication number CN117490877A discloses a wireless intelligent temperature measurement system for large-volume concrete, in which: the temperature sensor is buried in the concrete and connected to the collection node by wire through a temperature measurement cable; the collection node includes an EnOcean module, which is connected to the collection terminal by wireless means, and the EnOcean module includes an EnOcean transceiver module, an energy collection module and a micro energy converter; a topological network structure is established between the collection terminal and the EnOcean transceiver module of the collection node for data transmission; the display module, the input module, the alarm module and the storage module are all connected to the coordinator, the gateway module is interconnected through the Internet and remote control, and the power module provides power to the collection terminal. The present invention breaks through the limitations of traditional concrete temperature measurement methods, is not limited by transmission cables, has the advantages of simple installation, accurate reading, high precision, simple output, etc., improves the quality and efficiency of temperature measurement, saves the manpower and material costs of temperature measurement, and has good practicality and economy.

[0004] In the prior art, traditional temperature measurement methods such as manual handheld thermometers have problems such as limited temperature measurement points, discontinuous data, and cumbersome operation. They are unable to monitor the internal temperature of large-volume concrete in real time and provide abnormal alarms, and are unable to store and analyze the internal temperature of large-volume concrete to optimize subsequent construction. They are difficult to meet the requirements of large-volume concrete temperature monitoring.

[0005] To this end, the present invention provides a wireless temperature measurement system for large-volume concrete. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a wireless temperature measurement system for large-volume concrete, comprising:

[0008] Temperature monitoring module: During the detection period, the temperature detection data of the mass concrete is obtained in real time through a number of temperature sensors and wireless transmission chips evenly buried in the mass concrete. The temperature detection data includes the real-time temperature value sent back by each temperature sensor. The temperature detection data is analyzed in combination with the system time to obtain the temperature change abnormality value;

[0009] Alarm judgment module: judge whether the overall temperature change of the mass concrete is abnormal at this time according to the abnormal temperature change value;

[0010] Data analysis module: obtains temperature data within the detection period, wherein the temperature data includes the temperature values ​​of all detection points within the detection period, the temperature change rate values, and the period during which the detection points generate abnormal signals, analyzes the temperature data, and obtains the temperature abnormality values ​​of the detection points within the detection period;

[0011] Record storage module: Based on the abnormal temperature values ​​at the detection points, a temperature record report is generated and stored for large-volume concrete through data analysis.

[0012] As a further technical solution of the present invention: the specific method of obtaining the temperature change abnormal value SV is:

[0013] The obtained abnormal quantity ratio ST and temperature variation variance SK are processed by data, and the formula is: The temperature change abnormal value SV is obtained, wherein s1 and s2 are both preset proportional coefficients.

[0014] As a further technical solution of the present invention: the specific method of obtaining the abnormal quantity ratio ST and the temperature variation variance SK is:

[0015] The number of detection points currently generating abnormal signals is obtained, and the number of detection points generating abnormal signals is ratioed to the total number of detection points in the mass concrete to obtain the abnormal number ratio, which is marked as ST.

[0016] The current temperature change rate values ​​of all detection points are obtained, and the variance processing is performed on the current temperature change rate values ​​of all detection points to obtain the temperature change variance, which is marked as SK.

[0017] As a further technical solution of the present invention: the specific method of generating the abnormal signal is:

[0018] Compare the temperature rate of change value to the temperature rate of change threshold:

[0019] If the current temperature change rate value of the detection point is greater than the temperature change rate threshold, an abnormal signal is generated.

[0020] As a further technical solution of the present invention: the specific method of obtaining the temperature change rate value is:

[0021] Mark each temperature sensor as a detection point, obtain the temperature value of each detection point at the current time node in real time, perform difference processing on the temperature value of the detection point corresponding to the previous time node to obtain the temperature difference, take the absolute value of the temperature difference to obtain the absolute temperature difference, mark the detection interval between the two detection time nodes as the interval period, perform ratio processing on the obtained absolute temperature difference and the interval period duration to obtain the temperature change rate value.

[0022] As a further technical solution of the present invention: the specific method of obtaining the temperature abnormality value XS is:

[0023] The obtained abnormal time ratio SN, abnormal degree ratio SL and abnormal temperature change variance SA are processed by data, and the formula is: The temperature abnormality value XS is obtained, wherein a1, a2 and a3 are all preset proportional coefficients.

[0024] As a further technical solution of the present invention: the specific method of obtaining the abnormal time ratio SN is:

[0025] The time period when the detection point generates an abnormal signal within the detection cycle is obtained and marked as the temperature abnormality period. The duration of the temperature abnormality period of the detection point is ratioed with the total duration of the detection cycle to obtain the abnormal time ratio, which is marked as SN.

[0026] As a further technical solution of the present invention: the specific method of obtaining the abnormality level ratio SL is:

[0027] The temperature change rate value of the detection point at all time nodes during the temperature anomaly period is obtained, and the difference between it and the temperature change rate threshold is processed to obtain the temperature change difference value. The temperature change difference values ​​at all time nodes during the temperature anomaly period are summed and averaged, and the difference is processed with the temperature change rate threshold to obtain the abnormality degree ratio, which is marked as SL.

[0028] As a further technical solution of the present invention: the specific method of obtaining the abnormal temperature variation variance SA is:

[0029] The temperature variation difference of the detection point at all time nodes during the temperature anomaly period is obtained, and variance processing is performed on it to obtain the abnormal temperature variation variance, which is marked as SA.

[0030] As a further technical solution of the present invention: the specific method of generating a temperature record report for mass concrete is:

[0031] Compare the temperature anomaly values ​​of all the test points in the mass concrete, arrange the test points from large to small according to the temperature anomaly values ​​and write the test point numbers into the temperature record report in sequence;

[0032] Further, after writing the detection point temperature data to each detection point serial number in the temperature record report, wherein the temperature data includes: the temperature value of the detection point during the detection cycle, the time period when the detection point generates an abnormal signal, and the temperature abnormality value of the detection point;

[0033] Furthermore, a temperature record report is generated and stored.

[0034] The beneficial effects of the present invention are as follows:

[0035] 1. During the detection period, the temperature detection data of the mass concrete is obtained in real time through a number of temperature sensors and wireless transmission chips evenly buried in the mass concrete. The temperature detection data includes the real-time temperature value sent back by each temperature sensor. The temperature detection data is analyzed in combination with the system time to obtain the temperature change abnormality value; whether the overall temperature change of the mass concrete is abnormal is judged according to the temperature change abnormality value; this is conducive to the overall temperature detection and analysis of the mass concrete.

[0036] 2. Obtain temperature data within the detection period, where the temperature data includes the temperature values ​​of all detection points within the detection period and the time period when the detection points generate abnormal signals. Analyze the temperature data to obtain the temperature abnormality values ​​of the detection points within the detection period. Based on the temperature abnormality values ​​of the detection points, generate and store temperature record reports for large-volume concrete through data analysis to facilitate subsequent key inspections of detection points with more serious abnormalities, which will help construction personnel better understand the performance status of concrete, optimize construction plans, and ensure the quality of concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] Figure 1 It is a program flowchart of a wireless temperature measurement system for mass concrete according to an embodiment of the present invention;

[0039] Figure 2 It is a flow chart of the steps for obtaining the temperature change abnormal value SV in the wireless temperature measurement system for large-volume concrete described in Example 1 of the present invention. DETAILED DESCRIPTION

[0040] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0041] Example 1

[0042] like Figure 1 As shown, a wireless temperature measurement system for large volume concrete according to an embodiment of the present invention includes:

[0043] Temperature monitoring module: During the detection period, the temperature detection data of the mass concrete is obtained in real time through a number of temperature sensors and wireless transmission chips evenly buried in the mass concrete. The temperature detection data includes the real-time temperature value sent back by each temperature sensor. The temperature detection data is analyzed in combination with the system time to obtain the temperature change abnormality value;

[0044] like Figure 2 As shown in the figure, the specific method of obtaining the temperature change anomaly value SV is:

[0045] Mark each temperature sensor as a detection point, obtain the temperature value of each detection point at the current time node in real time, perform difference processing on the temperature value of the detection point corresponding to the previous time node to obtain the temperature difference, take the absolute value of the temperature difference to obtain the absolute temperature difference, mark the detection interval between the two detection time nodes as the interval period, perform ratio processing on the obtained absolute temperature difference and the interval period duration to obtain the temperature change rate value;

[0046] It should be noted that the temperature change rate value represents the temperature change trend of the detection point from the last detection time node to the current time node, which is convenient for real-time monitoring of the temperature of large-volume concrete;

[0047] Compare the temperature rate of change value to the temperature rate of change threshold:

[0048] If the current temperature change rate value of the detection point is less than or equal to the temperature change rate threshold, a normal signal is generated;

[0049] If the current temperature change rate value of the detection point is greater than the temperature change rate threshold, an abnormal signal is generated;

[0050] The number of detection points currently generating abnormal signals is obtained, and the number of detection points generating abnormal signals is processed by ratio with the total number of detection points in the mass concrete to obtain the abnormal number ratio, which is marked as ST.

[0051] Get the current temperature change rate values ​​of all detection points, perform variance processing on the current temperature change rate values ​​of all detection points, and obtain the temperature change variance, which is marked as SK;

[0052] The obtained abnormal quantity ratio ST and temperature variation variance SK are processed by data, and the formula is: The temperature change abnormal value SV is obtained, wherein s1 and s2 are both preset proportional coefficients;

[0053] It should be noted that the purpose of the temperature change anomaly value SV is to analyze the overall temperature change anomaly inside the concrete by analyzing the number of temperature change anomalies and the degree of temperature change unevenness at the internal detection points of the mass concrete from the previous detection time node to the current time node, so as to facilitate temperature detection and monitoring of the mass concrete;

[0054] Alarm judgment module: judge whether the overall temperature change of the mass concrete is abnormal according to the abnormal temperature change value;

[0055] Specifically, the temperature change anomaly value SV is compared with the temperature change anomaly threshold;

[0056] If the current temperature change abnormal value of the mass concrete is less than or equal to the temperature change abnormal threshold, it means that the overall temperature change of the mass concrete is normal at this time;

[0057] If the current abnormal temperature change value of the mass concrete is greater than the abnormal temperature change threshold, it means that the overall temperature change of the mass concrete is abnormal at this time, and an alarm signal is sent;

[0058] The technical solution of the embodiment of the present invention is: within the detection period, the temperature detection data of the mass concrete is obtained in real time by using a plurality of temperature sensors and a wireless transmission chip evenly buried in the mass concrete, wherein the temperature detection data includes the real-time temperature value sent back by each temperature sensor, and the temperature detection data is analyzed in combination with the system time to obtain the temperature change abnormal value; whether the overall temperature change of the mass concrete is abnormal is judged according to the temperature change abnormal value; this is conducive to the overall temperature detection and analysis of the mass concrete.

[0059] Example 2

[0060] like Figure 1 As shown, a wireless temperature measurement system for large volume concrete according to an embodiment of the present invention includes:

[0061] Data analysis module: obtains temperature data within the detection period, wherein the temperature data includes the temperature values ​​of all detection points within the detection period, the temperature change rate values, and the period during which the detection points generate abnormal signals, analyzes the temperature data, and obtains the temperature abnormality values ​​of the detection points within the detection period;

[0062] Specifically, based on any detection point:

[0063] Obtain the period when the detection point generates an abnormal signal within the detection cycle, mark it as the temperature abnormal period, and perform a ratio processing on the duration of the temperature abnormal period of the detection point and the total duration of the detection cycle to obtain the abnormal time ratio, which is marked as SN;

[0064] Obtain the temperature change rate value of the detection point at all time nodes during the temperature abnormal period, and perform a difference processing between it and the temperature change rate threshold to obtain the temperature change difference value. Sum and average the temperature change difference values ​​at all time nodes during the temperature abnormal period, perform a ratio processing between it and the temperature change rate threshold to obtain the abnormal degree ratio, which is marked as SL.

[0065] Obtain the temperature variation difference of the detection point at all time nodes during the temperature anomaly period, perform variance processing on it, and obtain the abnormal temperature variation variance, which is marked as SA;

[0066] The obtained abnormal time ratio SN, abnormal degree ratio SL and abnormal temperature change variance SA are processed by data, and the formula is: The temperature anomaly value XS is obtained, wherein a1, a2 and a3 are all preset proportional coefficients;

[0067] It should be noted that the purpose of the temperature anomaly value XS is to analyze the abnormal situation of a detection point within the detection cycle by analyzing the abnormal duration and degree of anomaly of a detection point in the entire detection cycle, so as to facilitate subsequent key detection of detection points with more serious abnormal situations, and also facilitate the optimization of large-volume concrete construction plans, providing important reference for the construction of similar projects.

[0068] Record storage module: Based on the abnormal temperature value of the detection point, through data analysis, a temperature record report is generated and stored for large-volume concrete;

[0069] Specifically, the temperature anomaly values ​​of all the test points in the mass concrete are compared, the test points are arranged from large to small according to the temperature anomaly values, and the test point numbers are sequentially written into the temperature record report;

[0070] Further, after writing the detection point temperature data to each detection point serial number in the temperature record report, wherein the temperature data includes: the temperature value of the detection point during the detection cycle, the time period when the detection point generates an abnormal signal, and the temperature abnormality value of the detection point;

[0071] Further, a temperature record report is generated and stored;

[0072] It should be noted that the purpose of the temperature record report is to record the internal temperature changes of large-volume concrete based on wireless temperature measurement, so as to facilitate subsequent key inspections of detection points with more serious abnormal conditions, and help construction personnel better understand the performance status of concrete, optimize construction plans, and ensure the quality of concrete.

[0073] The technical solution of the embodiment of the present invention is: obtaining temperature data within a detection period, wherein the temperature data includes the temperature values ​​of all detection points within the detection period and the time period when the detection points generate abnormal signals, analyzing the temperature data to obtain the temperature abnormality values ​​of the detection points within the detection period, and based on the temperature abnormality values ​​of the detection points, through data analysis, generating and storing a temperature record report for large-volume concrete, so as to facilitate subsequent key detection of detection points with more serious abnormal conditions, thereby helping construction personnel to better understand the performance status of concrete, optimize construction plans, and ensure the quality of concrete.

[0074] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A wireless temperature measurement system for mass concrete, characterized in that: include: Temperature monitoring module: During the detection period, the temperature detection data of the mass concrete is obtained in real time through a number of temperature sensors and wireless transmission chips evenly buried in the mass concrete. The temperature detection data includes the real-time temperature value sent back by each temperature sensor. The temperature detection data is analyzed in combination with the system time to obtain the temperature change abnormality value; Alarm judgment module: judge whether the overall temperature change of the mass concrete is abnormal according to the abnormal temperature change value; Data analysis module: obtains temperature data within the detection period, wherein the temperature data includes the temperature values ​​of all detection points within the detection period, the temperature change rate values, and the period during which the detection points generate abnormal signals, analyzes the temperature data, and obtains the temperature abnormality values ​​of the detection points within the detection period; Record storage module: Based on the abnormal temperature values ​​at the detection points, a temperature record report is generated and stored for large-volume concrete through data analysis.

2. A wireless temperature measurement system for mass concrete according to claim 1, characterized in that: The specific method of obtaining the temperature change abnormal value SV is: The obtained abnormal quantity ratio ST and temperature variation variance SK are processed by data, and the formula is: The temperature change abnormal value SV is obtained, wherein s1 and s2 are both preset proportional coefficients.

3. A wireless temperature measurement system for mass concrete according to claim 2, characterized in that: The specific method of obtaining the abnormal quantity ratio ST and the temperature variation variance SK is as follows: The number of detection points currently generating abnormal signals is obtained, and the number of detection points generating abnormal signals is processed by ratio with the total number of detection points in the mass concrete to obtain the abnormal number ratio, which is marked as ST. The current temperature change rate values ​​of all detection points are obtained, and the variance processing is performed on the current temperature change rate values ​​of all detection points to obtain the temperature change variance, which is marked as SK.

4. A wireless temperature measurement system for mass concrete according to claim 3, characterized in that: The specific method of generating the abnormal signal is: Compare the temperature rate of change value to the temperature rate of change threshold: If the current temperature change rate value of the detection point is greater than the temperature change rate threshold, an abnormal signal is generated.

5. A wireless temperature measurement system for mass concrete according to claim 4, characterized in that: The specific method for obtaining the temperature change rate value is: Mark each temperature sensor as a detection point, obtain the temperature value of each detection point at the current time node in real time, perform difference processing on the temperature value of the detection point corresponding to the previous time node to obtain the temperature difference, take the absolute value of the temperature difference to obtain the absolute temperature difference, mark the detection interval between the two detection time nodes as the interval period, perform ratio processing on the obtained absolute temperature difference and the interval period duration to obtain the temperature change rate value.

6. A wireless temperature measurement system for mass concrete according to claim 1, characterized in that: The specific method of obtaining the temperature abnormal value XS is: The obtained abnormal time ratio SN, abnormal degree ratio SL and abnormal temperature change variance SA are processed by data, and the formula is: The temperature abnormality value XS is obtained, wherein a1, a2 and a3 are all preset proportional coefficients.

7. A wireless temperature measurement system for mass concrete according to claim 6, characterized in that: The specific method of obtaining the abnormal time ratio SN is: The time period when the detection point generates an abnormal signal within the detection cycle is obtained and marked as the temperature abnormality period. The duration of the temperature abnormality period of the detection point is ratioed with the total duration of the detection cycle to obtain the abnormal time ratio, which is marked as SN.

8. The wireless temperature measurement system for mass concrete according to claim 6 is characterized by: The specific method of obtaining the abnormality level ratio SL is as follows: The temperature change rate value of the detection point at all time nodes during the temperature anomaly period is obtained, and the difference between it and the temperature change rate threshold is processed to obtain the temperature change difference value. The temperature change difference values ​​at all time nodes during the temperature anomaly period are summed and averaged, and the difference is processed with the temperature change rate threshold to obtain the abnormality degree ratio, which is marked as SL.

9. The wireless temperature measurement system for mass concrete according to claim 6 is characterized in that: The specific method of obtaining the abnormal temperature variation variance SA is as follows: The temperature variation difference of the detection point at all time nodes during the temperature anomaly period is obtained, and variance processing is performed on it to obtain the abnormal temperature variation variance, which is marked as SA.

10. The wireless temperature measurement system for mass concrete according to claim 1, characterized in that: The specific method of generating a temperature record report for mass concrete is as follows: Compare the temperature anomaly values ​​of all the test points in the mass concrete, arrange the test points from large to small according to the temperature anomaly values ​​and write the test point numbers into the temperature record report in sequence; Further, after writing the detection point temperature data to each detection point serial number in the temperature record report, wherein the temperature data includes: the temperature value of the detection point during the detection cycle, the time period when the detection point generates an abnormal signal, and the temperature abnormality value of the detection point; Furthermore, a temperature record report is generated and stored.

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