A three-dimensional temperature monitoring system for high-precision subway connection channels

Abstract

The present invention provides a three-dimensional temperature monitoring method and system for a high-precision subway connection passage. The three-dimensional temperature intelligent detection system is a system that uses two types of sensors to collect, store, analyze, and model multi-channel temperature and humidity data of temperature measurement holes. The temperature and humidity intelligent acquisition host can detect the temperature and humidity of the freezing holes in real time and transmit the data to the detection terminal through the network. This system can display temperature and humidity data, temperature curve trends, and three-dimensional data models in real time, effectively realizing the visualization of freezing method temperature detection data. By analyzing and fitting the detected data, it is possible to predict the freezing cycle at the freezing site, effectively improving the construction efficiency and ensuring construction safety.

Description

Technical Field

[0001] The present invention belongs to the field of building construction environment detection, and particularly relates to a three-dimensional temperature monitoring method and system for a high-precision subway connecting passage. Background Art

[0002] With the vigorous development of domestic infrastructure construction, the construction rate of rail transit has played a certain role in the national economic development. The freeze-type temperature detection technology is a commonly used temperature detection means, but many detection technologies rely on manual labor, and data processing and analysis also rely too much on manual experience, resulting in low efficiency and affecting the construction period. Therefore, improving the construction efficiency and shortening the construction period are the primary problems to be solved in rail transit construction. For construction safety, timely locating the faults of each component in the system, reducing the fault time, and improving the construction efficiency have become urgent problems to be solved at present. Summary of the Invention

[0003] The purpose of the present invention is to solve the problems existing in the above-mentioned prior art, and provide a three-dimensional temperature monitoring system for a high-precision subway connecting passage, which can visually observe the project progress, timely locate the system fault points, give the estimated completion period of the project, and improve the construction efficiency. The present invention is realized through the following technical solutions:

[0004] Provide a three-dimensional temperature monitoring system for a high-precision subway connecting passage, characterized in that it at least includes: a server pre-installed with terminal software of a three-dimensional temperature intelligent detection system and a display device;

[0005] The terminal software can display the temperature data of multiple channels in real time, can switch and view the curves of any temperature measurement point of a channel in real time, and supports the download and upload of temperature measurement point data. And it can show the layout position of temperature measurement points and the wiring condition of temperature measurement holes in the detected scene in real time through visualization simulation software, and at the same time show the freezing effect of the three-dimensional temperature field. And according to the freezing effect, data fitting is carried out through data analysis to give an estimated freezing construction period.

[0006] The terminal software can display the humidity data of each temperature measurement point of the channel and the environment in real time, predict the freezing construction period of the construction site, and synchronously display the prediction result on the interface.

[0007] Among them, in the prediction of the freezing construction period, the number of freezing holes \(n\), the average temperature \(w\) of the temperature measurement points, the average humidity \(s\), the granularity \(d\) of the rock and soil, and the area \(a\) of the space to be frozen are used as input influencing factors. The sample data of previous projects are collected, and the freezing time \(T\) required to meet the excavation conditions under different conditions is counted. Generally, the excavation conditions are no sand and water gushing phenomena, and the brine temperature of the construction exploration hole at the center of the connection passage portal is controlled between -25°C and -28°C, and the freezing thickness is at least 2m. There is a standard value for the diameter of the freezing hole. The sampling aperture is 127mm, and each freezing hole has a standard freezing capacity. By fitting the data of the collected samples, the least squares method is specifically used in this application to obtain the freezing construction period prediction function \(T\).

[0008] According to the principle of the least squares method, to meet the condition of the minimum mean square error, make the mean square error \(\delta=\sum(t 预测 -t 实际 ) 2 the smallest.

[0009] The solved prediction function \(T\) is as follows:

[0010] where \(\xi\) is a correction coefficient with a value of -0.8. The temperature and humidity parameters \(w\) and \(s\) are the average values obtained from the measured values of the above-mentioned respective measuring point sensors. The space area \(a\) and the rock granularity \(d\) can be measured and sampled.

[0011] Furthermore, after the terminal software is started, a user and password input interface will automatically pop up. After entering the user name and password, you can enter the usage interface of the three-dimensional temperature detection system, and this interface has five main functions. From top to bottom, there are operation keys for measuring point layout, man-machine interaction, expert diagnosis, system configuration, and system self-check.

[0012] Furthermore, the function of measuring point layout in the terminal software can be divided into left and right line layouts, and the layout of the temperature measurement points in the left line and the right line can be symmetrically or asymmetrically arranged, and the number of temperature measurement points arranged in each line is not less than 96.

[0013] Furthermore, the man-machine interaction in the terminal software includes at least functions such as data viewing, three-dimensional effect display, automatic generation of curves, and temperature data download;

[0014] The three-dimensional effect display can present the three-dimensional graph of the temperature of the temperature measurement points, and at the same time, it can simulate the three-dimensional freezing graph in real time, and can detect the working state of the refrigerator and remotely control the refrigerator;

[0015] The data viewing mode supports selecting the purpose and channels. The channels can be set to 4 channels. The data download function can download different function data under the limitation of the purpose function. The format of the data is one or more of excel, html, blob, text, and jpg, and is saved to the detection terminal according to the storage path pre-matched with the purpose, and is uploaded to the cloud server in real time.

[0016] Further, the expert diagnosis in the terminal software includes at least temperature diagnosis and humidity diagnosis. The temperature diagnosis realizes the judgment of temperature anomalies in different functional areas;

[0017] The humidity diagnosis can realize humidity anomalies in different functional areas according to the purpose. When the temperature and humidity of each temperature measurement point and its surrounding environment exceed the preset ideal temperature and humidity thresholds, the expert diagnosis system generates a diagnosis log and saves it to the detection terminal according to the storage path pre-matched with the purpose, and prompts the anomaly in the user interface.

[0018] Further, the system configuration includes project name, section name, line spacing value, buried depth data and soil layer data, and modification options.

[0019] Further, when the user clicks on system self-check, the system enters the self-check mode. After the self-check is completed, the self-check data is automatically saved. The data is saved to the preset path and uploaded to the cloud server at the same time.

[0020] To achieve the above and other related purposes, the present invention also provides a three-dimensional intelligent detection system.

[0021] A three-dimensional temperature intelligent detection system, characterized by at least including: a three-dimensional temperature intelligent detection terminal, a temperature and humidity acquisition host, a temperature sensor, a humidity sensor, and a cloud server;

[0022] The three-dimensional temperature intelligent detection terminal is pre-installed with the three-dimensional temperature intelligent detection system terminal software. The terminal software can display the temperature data of multiple channels in real time, can switch and view the curve of any channel temperature measurement point in real time, and supports the download and upload of temperature measurement point data. It can also display the layout position of temperature measurement points and the wiring situation of temperature measurement holes in the detected scene in real time through a visualization simulation software, and at the same time show the freezing effect of the three-dimensional temperature field. And based on the freezing effect, data fitting is carried out through data analysis to give an estimated freezing construction period.

[0023] The terminal software can display the humidity data of each channel temperature measurement point and the environment in real time, predict the freezing construction period of the construction site, and synchronously display the prediction result on the interface.

[0024] Among them, in the prediction of the freezing construction period, the number of freezing holes n, the average temperature w of the temperature measuring points, the average humidity s, the granularity d of the rock and soil, and the area a of the space to be frozen are used as input influencing factors. The sample data of previous projects are collected, and the freezing time T required to meet the excavation conditions under different conditions is statistically analyzed. Generally, the excavation conditions are no sand and water gushing phenomena, and the brine temperature of the construction exploration hole at the center of the connection tunnel portal is controlled between -25°C and -28°C, and the freezing thickness is at least 2m. There is a standard value for the diameter of the freezing hole. The sampling aperture is 127mm, and each freezing hole has a standard freezing capacity. By fitting the data of the collected samples, the least squares method is specifically used in this application to obtain the freezing construction period prediction function T.

[0025] According to the principle of the least squares method, to meet the condition of the minimum mean square error, make the mean square error δ = ∑(t 预测 -t 实际 ) 2 the smallest.

[0026] The obtained prediction function T is:

[0027] where ξ is a correction coefficient with a value of -0.8. The temperature and humidity parameters w and s are obtained by averaging the measured values of the above-mentioned respective measuring point sensors. The space area a and the rock granularity d can be measured and sampled.

[0028] The temperature and humidity acquisition host can collect in real time and process the temperature and humidity collected by the temperature sensor and the humidity sensor through the internal digital-to-analog conversion module;

[0029] The cloud server can realize data storage and retrieval and the issuance of preset operation instructions.

[0030] Further, the startup of the system includes the following steps. First, power on the system components. After starting the three-dimensional temperature intelligent detection terminal, enter the user name and password;

[0031] According to different user permissions, different operation permissions are assigned. The permissions include reading data, downloading data, and starting construction detection;

[0032] Further, if the permission to start construction detection is obtained, the self-check function should be started first. If it is detected that the temperature and humidity acquisition host starts abnormally, disconnect the power supply of other components and directly export the fault data to establish a fault model and analyze the cause of the fault;

[0033] Further, if it is detected that the temperature sensor and the humidity sensor have acquisition failures, disconnect the power supply of the temperature sensor and the humidity sensor and export the fault data to locate the fault point;

[0034] Finally, if the self-check is successful, start the project construction detection.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows: By using the three-dimensional temperature field intelligent detection terminal and detection system, real-time analysis, table building, and modeling are carried out on up to 90 points at the freezing site. The visual effect of the three-dimensional temperature field can be utilized, and analysis and processing are performed through temperature and humidity data. The three-dimensional model and data analysis results can be intuitively used to evaluate the freezing cycle prediction, better match the construction progress requirements, improve the construction accuracy, and thus improve the construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Schematic diagram of the menu interface of the intelligent detection terminal in the high-precision subway connection passage.

[0037] Figure 2 Schematic diagram of the measuring point layout interface of the intelligent detection terminal in the high-precision subway connection passage.

[0038] Figure 3 Schematic diagram of the human-computer interaction function interface of the intelligent detection terminal in the high-precision subway connection passage.

[0039] Figure 4 Schematic diagram of the three-dimensional model and curve of the human-computer interaction terminal interface in the high-precision subway connection passage.

[0040] Figure 5 Schematic diagram of the system configuration interface of the intelligent detection terminal in the high-precision subway connection passage.

[0041] Figure 6 Schematic diagram of the three-dimensional temperature intelligent detection system in the high-precision subway connection passage. DETAILED DESCRIPTION OF THE INVENTION

[0042] The present invention will be further described in detail below with reference to the accompanying drawings:

[0043] The present invention provides a three-dimensional temperature monitoring system for a high-precision subway connection passage. The terminal at least includes a server pre-installed with the terminal software of the three-dimensional temperature intelligent detection system and a display device. The intelligent software can achieve the following functions: measuring point layout, human-computer interaction, expert diagnosis, and system configuration. As Figure 1 shown, when starting the system, it first enters the user login interface. Specifically, when a user logs in, the system has pre-assigned different user privilege levels, such as administrators, data processors, etc., and on-site staff. The administrator has the highest privilege in the system, can read all data, and can modify the system functions in the background, perform system updates, etc. The data processor can only download the system detection data; the on-site staff has all privileges except for modifying and updating the system functions.

[0044] Refer to Figure 2, the measuring point layout includes two parts: the right - line layout and the left - line layout, which respectively show the wiring of the temperature - measuring holes in the connection passage and the layout positions of the temperature - measuring points. And according to different on - site working conditions, the layout of the temperature - measuring points in the left line and the right line can be symmetrically arranged or asymmetrically arranged. For the sufficiency and reliability of temperature collection, the number of temperature - measuring points arranged in each line is not less than 96. Redundant sensors can be set to overcome sensor failures, facilitate equipment maintenance, and reduce maintenance time. When setting temperature sensors, humidity sensors with the same or different numbers can be set according to the on - site environment. The terminal software can display the temperature and humidity data of multiple channels in real time and can switch to view the curves of any channel test point in real time.

[0045] As Figure 3 shown, the human - machine interaction interface of the terminal software shows that the data acquisition channels can be set to four channels: A, B, C, and D. And the acquisition of temperature and humidity requires corresponding intelligent temperature acquisition equipment. With an optimized hardware design, this equipment includes a temperature acquisition module. Through embedded design, a DSP main control chip and an AD converter are used to convert the collected temperature and humidity analog signals into digital signals. The temperature acquisition module is correspondingly set with four parts: channel A, channel B, channel C, and channel D. Each of the channels A, B, C, and D can support more than 24 acquisition channels at the same time. This module is connected to temperature and humidity sensors, and the host collects, analyzes, stores, and processes the digital sensor signals, and transmits the temperature and humidity data to the detection terminal through the network. The terminal software analyzes and processes the data again, and uses visualization simulation software to show the layout positions of temperature - measuring points and the wiring of temperature - measuring holes in the detected scene in real time, and at the same time shows the freezing effect of the three - dimensional temperature field. And according to the freezing effect, data fitting is carried out through data analysis to give an estimated freezing construction period.

[0046] The terminal software can display the humidity data of the temperature - measuring points and the environment of each channel in real time, predict the freezing construction period of the construction site, and synchronously display the prediction results on the interface.

[0047] Among them, in the prediction of the freezing construction period, the number of freezing holes n, the average temperature w of the temperature - measuring points, the average humidity s, the granularity d of the rock and soil, and the area a of the space to be frozen are used as input influencing factors. The sample data of past projects are collected, and the freezing time T required to meet the excavation conditions under different conditions is statistically analyzed. Generally, the excavation conditions are no sand and water gushing phenomena, and the brine temperature of the construction exploration hole at the center of the connection passage portal is controlled between - 25℃ and - 28℃, and the freezing thickness is at least 2m. There is a standard value for the diameter of the freezing hole. The sampling aperture is 127mm, and each freezing hole has a standard freezing capacity. Through data fitting of the collected samples, the least - squares method is specifically used in this application to obtain the freezing construction period prediction function T.

[0048] According to the principle of least squares, to meet the condition of minimum mean square error, make the mean square error δ = ∑(t 预测 -t 实际 ) 2 minimum.

[0049] The predicted function T obtained by solving is:

[0050] where ξ is a correction coefficient with a value of -0.8. The temperature and humidity parameters w and s are obtained by averaging the measured values of the sensors at each measurement point above. The spatial area a and the rock granularity d can be measured and sampled.

[0051] From this, the estimated freezing construction period can be adjusted according to the actual situation, better coordinating the regulation of the project construction progress, and providing a more intuitive and reliable basis for efficiently completing the project tasks; as Figure 4 shown, the detection terminal interface can visually display the three-dimensional model and curve formed after the detection data is processed by the data processing software, and the construction period can be directly obtained, facilitating the observation by project personnel. The data processing software is a professional mathematical processing software, such as MATLAB, and the visualization simulation software uses Simulink.

[0052] Furthermore, predicting the freezing construction period through the collected data, the data includes temperature data and humidity data. Among them, the environmental humidity data can provide the environmental humidity of each temperature measurement point, used to further optimize the environmental data of the temperature measurement points. When the humidity is relatively high, it indicates that the soil freezing environment is better at the same time. When the humidity is low, if it is lower than a certain threshold, it can prompt that the freezing condition at the current temperature measurement point is prone to poor freezing. Thus, the predicted freezing construction period is more accurate, providing better guarantee for improving construction efficiency.

[0053] Furthermore, the data viewing mode in the human-computer interaction supports selecting the purpose and channel. The data download function can download different function data under the limitation of the purpose function. The format of the data is one or more of excel, html, blob, text, jpg, and is saved to the detection terminal according to the storage path pre-matched with the purpose, and is uploaded to the cloud server in real time. The purpose is brine temperature, soil layer temperature, environmental temperature, soil layer humidity, environmental humidity.

[0054] The terminal software also includes an expert diagnosis function. The expert diagnosis function at least includes temperature diagnosis and humidity diagnosis. The temperature diagnosis realizes the judgment of temperature anomalies in different functional areas, and the humidity diagnosis can realize humidity anomalies in different functional areas according to the purpose. When the temperature and humidity of each temperature measurement point and its surrounding environment exceed the preset ideal temperature and humidity thresholds, the expert diagnosis system generates a diagnosis log and saves it to the detection terminal according to the storage path pre-matched with the purpose, and prompts the anomaly in the user interface.

[0055] Such asFigure 5 As shown, the terminal software further includes system configuration, including project name, section name, line spacing value, burial depth data, soil layer data, and modification options.

[0056] In addition, the terminal software has a system self-check function. When the user clicks on system self-check, the system enters the self-check mode. After the self-check is completed, the self-check data is automatically saved to a preset path and uploaded to the cloud server at the same time. The self-check function can detect whether there are hardware failures in each link of the system in the first instance after the system is powered on. When a failure occurs, it will promptly remind the construction personnel to take remedial measures, such as using redundant components for construction or promptly cutting off the power to troubleshoot. This function can avoid construction stagnation caused by hardware failures, improve construction efficiency, and ensure construction safety.

[0057] The present invention also provides a three-dimensional temperature intelligent detection system, as Figure 6 shown. The system at least includes a three-dimensional temperature intelligent detection terminal 1, a temperature and humidity acquisition host 2, a temperature sensor 3, a humidity sensor 4, and a cloud server 5. The three-dimensional temperature intelligent detection terminal 1 pre-installs the three-dimensional temperature intelligent detection system terminal software. The terminal software can display the temperature data of multiple channels in real time, can switch and view the curves of any channel temperature measurement point in real time, and supports the download and upload of temperature measurement point data. It can also display the layout positions of temperature measurement points and the wiring conditions of temperature measurement holes in the detected scene in real time through a visualization simulation software, and at the same time show the freezing effect of the three-dimensional temperature field. And based on the freezing effect, estimate the freezing construction period through data analysis and data fitting; the temperature and humidity acquisition host 2 can collect the temperature and humidity collected by the temperature sensor 3 and the humidity sensor 4 in real time and process them through an internal digital-to-analog conversion module; the cloud server 5 can realize data storage and the issuance of preset operation instructions.

[0058] Further, the system startup includes the following steps: First, power on and start the system components. After starting the three-dimensional temperature intelligent detection terminal, enter the user name and password; according to different user permissions, different operation permissions are assigned, and these permissions include reading data, downloading data, and starting construction detection;

[0059] If the permission to start construction detection is obtained, first start the self-check function. If it is detected that the temperature and humidity acquisition host 2 fails to start normally, disconnect the power of other components and analyze the cause of the failure;

[0060] If it is detected that the temperature sensor 3 and the humidity sensor 4 have acquisition failures, disconnect the power supply of the temperature sensor 3 and the humidity sensor 4 and export the fault data to locate the fault point;

[0061] If the self-check is successful, start the real-time detection of project construction.

[0062] In summary, the present invention effectively overcomes various drawbacks in the prior art and has broad commercial utilization value.

[0063] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "connected" and "connected to" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] In the description of the present invention, unless otherwise stated, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0065] Finally, it should be noted that the above technical solution is only one implementation manner of the present invention. For those skilled in the art, based on the disclosed application methods and principles of the present invention, various types of improvements or deformations can be easily made, not limited to the methods described in the above specific implementation manner of the present invention. Therefore, the above-described manner is only preferred and does not have a restrictive meaning.

Claims

1. A three-dimensional temperature monitoring system for a high-precision subway connection passage, characterized in that: It at least includes: A server pre-installed with terminal software for a three-dimensional temperature intelligent detection system and a display device. The terminal software can display the temperature data of multiple channels in real time, can switch and view the curves of any temperature measurement point in real time, and supports the download and upload of temperature measurement point data, and can display the layout position of temperature measurement points and the wiring of temperature measurement holes in the detected scene in real time through visualization simulation software; through data analysis, data fitting is performed to give an estimated freezing construction period; The terminal software can display the humidity data of each temperature measurement point and the environment in real time, predict the freezing construction period of the construction site, and synchronously display the prediction result of the freezing construction period on the interface; Among them, in the prediction of the freezing construction period, the number of freezing holes n, the average temperature w of the temperature measurement points, the average humidity s, the granularity d of the rock and soil, and the area a of the space to be frozen are used as input influencing factors. The sample data of past projects are collected, and the freezing time T required to meet the excavation conditions under different conditions is counted; Through data fitting of the collected samples, specifically using the least squares method, the freezing construction period prediction function T is obtained; The fitting satisfies the condition of minimizing the mean square error, making the mean square error δ = ∑(t 预测 - t 实际 ) 2 minimum; The predicted function T obtained by solving is: , where is the correction coefficient, with a value of -0.8; in the formula, the temperature and humidity parameters w and s are measured by temperature and humidity sensors, the spatial area a and the rock granularity d can be measured and sampled, and T is the predicted construction period value.

2. The three-dimensional temperature monitoring system for a high-precision subway connection passage according to claim 1, characterized in that: After the terminal software is started, a user name and password input interface will automatically pop up. After entering the user name and password, the user can enter the use interface of the three-dimensional temperature detection system, and this interface has five main functions. From top to bottom, there are operation key measurement point layout interface, man-machine interaction interface, expert diagnosis interface, system configuration interface and system self-check interface.

3. The three-dimensional temperature monitoring system for a high-precision subway connection passage according to claim 2, characterized in that: The measurement point layout function in the terminal software can be divided into left and right line layouts, and the layout of temperature measurement points in the left line and the right line can be symmetrically or asymmetrically arranged, and the number of temperature measurement points arranged in each line is not less than 96.

4. The three-dimensional temperature monitoring system for a high-precision subway connection passage according to claim 2, characterized in that: The man-machine interaction in the terminal software at least includes functions such as data viewing, three-dimensional effect display, automatic curve generation and temperature data download; the three-dimensional effect display can present the three-dimensional graph of the temperature of the temperature measurement points, and at the same time simulate the three-dimensional freezing graph in real time, and can detect the working state of the freezer and remotely control the freezer; The data viewing mode supports selecting the purpose and channels. Among them, the channels can be set to 4 channels. The data download function can download different function data under the limitation of the purpose function. The format of the data is one or more of excel, html, blob, text, jpg, and is saved to the detection terminal according to the storage path pre-matched with the purpose, and is uploaded to the cloud server in real time.

5. The three-dimensional temperature monitoring system for a high-precision subway connection passage according to claim 2, characterized in that: The expert diagnosis function in the terminal software includes at least temperature diagnosis and humidity diagnosis. The temperature diagnosis realizes the judgment of temperature anomalies in different functional areas, and the humidity diagnosis can realize the judgment of humidity anomalies in different functional areas according to the usage. When the temperature and humidity of each temperature measurement point and its surrounding environment exceed the preset ideal temperature and humidity thresholds, the expert diagnosis system generates a diagnosis log and saves it to the detection terminal according to the storage path pre-matched with the usage, and prompts an anomaly on the user interface.

6. The high-precision three-dimensional temperature monitoring system for subway connection channels according to claim 2, characterized in that: The system configuration includes project name, section name, line spacing value, buried depth data, soil layer data, and modification options.

7. The high-precision three-dimensional temperature monitoring system for subway connection channels according to claim 2, characterized in that: After the user clicks the self-check function, the system enters the self-check mode. After the self-check is completed, the self-check data is automatically saved, and the data is saved to the preset path and uploaded to the cloud server at the same time.

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