Bridge construction structure health state real-time monitoring system

Abstract

The invention relates to the technical field of data processing, in particular to a bridge construction structure health state real-time monitoring system, which acquires temperature data including temperatures at a plurality of moments at different positions of a bridge construction structure in real time in the pouring process of the bridge construction structure, and calculates the health state of the bridge construction structure according to the temperature data at the different positions. And determining the temperature change correlation between different positions at each moment, and determining the heat transfer influence degrees of the different positions at each moment according to the temperature change correlation, so as to determine the target temperature anomaly degrees of the different positions at each moment according to the temperature data of the different positions, the temperature change correlation and the heat transfer influence degrees. According to the temperature anomaly degree and the preset anomaly threshold, the health states of the different positions are determined, and the temperature change correlation and the heat transfer influence degree between the different positions are considered, so that the target temperature anomaly degree of the different positions is more accurate, and the monitoring accuracy of the health states is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a real-time monitoring system for the health status of a bridge construction structure. Background Art

[0002] As an important part of transportation infrastructure, the safety of bridges is directly related to the safety of drivers and the surrounding environment. Therefore, it is necessary to monitor the structural health status in real time to promptly discover potential structural problems or substandard construction quality to avoid the risk of accidents caused by them. During monitoring, it is very important to monitor the temperature anomaly during the concrete pouring process of bridge construction, because abnormal temperature changes may affect the strength and durability of concrete, cause cracking and deformation of concrete after curing, and cause abnormal health status of bridge structures, affecting the normal use of bridges. At present, in the process of monitoring temperature, usually only a few sensors are installed on the bridge for monitoring, and the abnormality is independently judged based on different sensor data. However, during the actual pouring process, different sensors will have a certain amount of heat transfer, and some normal temperature data may be mistakenly identified as abnormal temperature data. The accuracy of abnormal judgment is low, and it is difficult to accurately obtain the actual health status of the bridge structure. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide a real-time monitoring system for the health status of bridge construction structures. The technical solutions adopted are as follows: In a first aspect, an embodiment of the present application provides a real-time monitoring system for the health status of a bridge construction structure, comprising: A collection module, used to collect temperature data of different positions of the bridge construction structure in real time during the pouring process of the bridge construction structure, each of the temperature data includes the temperature at several moments; A first determination module is used to determine the temperature change correlation between different positions at each moment according to the temperature data at different positions, and determine the heat transfer influence degree of different positions at each moment according to the temperature change correlation; A second determination module is used to determine the abnormal degree of the target temperature at different positions at each moment according to the temperature data at different positions, the temperature change correlation and the heat transfer influence degree; The third determination module is used to determine the health status of different locations according to the temperature abnormality degree and a preset abnormality threshold.

[0004] In one embodiment, the first determining module includes a first unit, a second unit, and a third unit; The first unit is used to determine a first position and all second positions except the first position from different positions, and determine a first average temperature of the first position and a second average temperature of each second position in a time window corresponding to each moment according to the temperature data of the different positions, wherein the time window includes a preset number of moments; The second unit is used to determine, in chronological order, a first slope of the temperature at each adjacent moment in the time window in the first position and a second slope of the temperature at each adjacent moment in the time window in the second position; The third unit is used to determine the temperature change correlation between the first position and all the second positions at each moment based on the first average temperature of the first position, the second average temperature of the second position, the first slope of the temperature at each adjacent moment, and the second slope of the temperature at each adjacent moment, and return to the step of determining the first position and all the second positions except the first position from different positions until the temperature change correlation between different positions at each moment is determined.

[0005] In one embodiment, determining the temperature change correlation between the first position and all the second positions at each moment according to the first average temperature of the first position, the second average temperature of the second position, the first slope of the temperature at each adjacent moment, and the second slope of the temperature at each adjacent moment includes: respectively determining first absolute values ​​of differences between a first average temperature at the first position and a second average temperature at the second position; respectively determining the second absolute value of the difference between the first slope of the temperature at each adjacent moment and the corresponding second slope of the temperature at each adjacent moment, and determining the sum of the second absolute values ​​corresponding to each of the second positions; respectively determining first products of the sum of the first absolute values ​​and the corresponding second absolute values, and calculating an average value after summing the sum of the number of the second positions and all the first products to obtain a temperature change related parameter; According to the temperature change related parameters and the natural exponential function, the temperature change correlation between the first position and all the second positions at each moment is obtained.

[0006] In one implementation, the first determination module includes a fourth unit and a fifth unit; The fourth unit is used to determine a first position from different positions, and determine an actual distance between the first position and a casting center and at least one third position having the same actual distance from the casting center; The fifth unit is used to determine the degree of heat transfer influence of the first position at each moment based on the temperature change correlation of the first position, the temperature change correlation of each of the third positions and the actual distance, and return to the step of determining the first position from different positions until the degree of heat transfer influence of different positions at each moment is obtained.

[0007] In one embodiment, determining the heat transfer influence degree of the first position at each moment according to the temperature change correlation of the first position, the temperature change correlation of each of the third positions, and the actual distance includes: respectively determining first difference values ​​of the temperature change correlation of the first position and the temperature change correlation of each of the third positions, and summing the first difference values ​​and the number of the first difference values ​​to obtain a difference sum; A second product of the sum of the differences and the actual distance is determined, and the degree of heat transfer influence of the first position at each moment is determined based on the second product and a natural exponential function.

[0008] In one implementation, the second determination module includes a sixth unit, a seventh unit, an eighth unit, and a ninth unit; The sixth unit is used to determine the initial temperature anomaly degree of different positions at each moment according to the temperature data of different positions; The seventh unit is used to determine the average temperature of the time window corresponding to each moment, and determine the environmental impact value at each moment according to the average temperature and the heat transfer impact degree; The eighth unit is used to determine the correction index of different positions at each moment according to the temperature change correlation and the heat transfer influence degree; The ninth unit is used to obtain the target temperature abnormality degree at different positions at each moment according to the initial temperature abnormality degree, the environmental impact value and the correction index.

[0009] In one embodiment, determining the initial temperature anomaly degree at different locations at each moment according to the temperature data at different locations includes: Determining a third average temperature at different locations according to the temperature data at different locations; Determine a target time from all the times, and calculate a second difference between the temperature at the target time and the third average temperature corresponding to each position; Calculate the similarity of the temperature difference between the adjacent two moments corresponding to the target moment in each position respectively, and determine the initial temperature anomaly degree of different positions at the target moment according to the similarity degree and the second difference value respectively, and return to the step of determining the target moment from all moments until the initial temperature anomaly degree of different positions at each moment is obtained.

[0010] In one embodiment, determining the environmental impact value at each moment according to the average temperature and the heat transfer impact degree includes: According to the heat transfer influence degree of different positions at each moment and the number of positions, summing up is performed to obtain the sum of the heat transfer influence degree at each moment; The environmental impact value at each moment is determined according to a first ratio of an average temperature of a time window corresponding to each moment to the sum of the heat transfer impact degrees at each moment.

[0011] In one embodiment, determining the correction index at different positions at each moment according to the temperature change correlation and the heat transfer influence degree respectively includes: The correction index of different positions at each moment is determined according to the temperature change correlation between different positions at each moment and the third product of the heat transfer influence degree of different positions at each moment.

[0012] In one embodiment, obtaining the target temperature abnormality degree at different locations at each moment according to the initial temperature abnormality degree, the environmental impact value, and the correction index includes: respectively determining a second ratio of the initial temperature anomaly degree at different positions at each moment to the correction index at different positions at each moment; The sum of the second ratio and the environmental impact value at each moment is determined respectively to obtain the target temperature abnormality degree at different positions at each moment.

[0013] The present invention has the following beneficial effects: During the pouring process of the bridge construction structure, temperature data including temperatures at several moments at different positions of the bridge construction structure are collected in real time, and the temperature change correlation between different positions at each moment is determined according to the temperature data at different positions, and the degree of heat transfer influence at different positions at each moment is determined according to the temperature change correlation. The method is used to determine the degree of target temperature abnormality at different positions at each moment according to the temperature data at different positions, the temperature change correlation and the degree of heat transfer influence, and determine the health status of different positions according to the temperature abnormality and the preset abnormal threshold. The temperature change correlation and the degree of heat transfer influence between different positions are considered, so that the target temperature abnormality at different positions is more accurate, thereby improving the monitoring accuracy of the health status. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A structural block diagram of a real-time monitoring system for the health status of a bridge construction structure provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the deployment position of a temperature sensor according to an embodiment of the present invention; Figure 3 The temperature variation curve of the temperature sensor in the casting center according to one embodiment of the present invention; Figure 4 This is a temperature variation curve of a temperature sensor at a location other than the pouring center according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of a real-time monitoring system for the health status of a bridge construction structure proposed according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0017] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0018] It should be noted that the term “exemplary” in the embodiments of the present application refers to examples listed for the convenience of explanation, and other embodiments are not limited to the examples listed.

[0019] The specific scheme of the real-time monitoring system for the health status of a bridge construction structure provided by the present invention is described in detail below in conjunction with the accompanying drawings.

[0020] See also Figure 1 , which shows a structural block diagram of a real-time monitoring system for the health status of a bridge construction structure provided by an embodiment of the present invention. The real-time monitoring system for the health status of a bridge construction structure may include: The acquisition module is used to collect temperature data of different positions of the bridge construction structure in real time during the pouring process of the bridge construction structure, and each temperature data includes the temperature at several moments; A first determination module is used to determine the temperature change correlation between different positions at each moment according to the temperature data of different positions, and determine the heat transfer influence degree of different positions at each moment according to the temperature change correlation; The second determination module is used to determine the abnormal degree of target temperature at different locations at each moment according to the temperature data at different locations, the correlation of temperature changes and the degree of heat transfer influence; The third determination module is used to determine the health status of different locations according to the temperature abnormality degree and the preset abnormality threshold.

[0021] The technical solution of the embodiment of the present application is to collect temperature data including several moments at different positions of the bridge construction structure in real time during the casting of the bridge construction structure, determine the temperature change correlation between the different positions at each moment according to the temperature data at different positions, and determine the degree of heat transfer influence at different positions at each moment according to the temperature change correlation, and determine the degree of target temperature abnormality at different positions at each moment according to the temperature data at different positions, the temperature change correlation and the degree of heat transfer influence, determine the health status of different positions according to the temperature abnormality and the preset abnormal threshold, take into account the temperature change correlation and the degree of heat transfer influence between different positions, so that the target temperature abnormality at different positions is more accurate, thereby improving the monitoring accuracy of the health status.

[0022] In one embodiment, the acquisition module may include several temperature sensors. During the pouring process of the bridge construction structure, the temperature sensors are installed at different positions of the bridge construction structure to obtain temperature data of different positions in real time at a specified frequency. For example, if the specified frequency is one minute, the temperature is collected once every one minute. Therefore, each temperature data includes the temperature at several moments until the pouring is completed and the collection is stopped. Figure 2 As shown, a temperature sensor is installed at position 1 of the pouring center, and then temperature sensors can be installed at certain distances around the pouring center, such as positions 2, 3, 4, 5, 6, 7, 8, and 9. It should be noted that the number and position of installations are based on actual settings. Figure 3 and Figure 4 As shown, the temperature change curve of the temperature sensor at position 1 at the pouring center and the temperature change curves of the temperature sensors at other positions can be seen.

[0023] It should be noted that at the beginning of concrete pouring, due to the continuous heat generation of the hydration reaction and the influence of factors such as the external environment temperature and wind speed, the temperature change trends collected by temperature sensors at different locations are usually similar. The temperature inside the concrete usually changes according to a certain rule over time. Therefore, there may be slight temperature differences in different locations of the concrete during the pouring process, but the overall temperature change trend is consistent. The abnormal temperature data collected by the temperature sensor may be the normal temperature change under the normal reaction during the pouring process. If there is the same change in each temperature sensor, it means that it is a normal temperature change point. At the same time, the more similar the temperature between each temperature sensor at the same time, the more similar the temperature change in the same time period, indicating that the temperature between each temperature sensor is close, the temperature change trend is similar, and the abnormal temperature data may be the temperature data under the normal reaction when pouring concrete. Therefore, the similarity of the changes between each temperature sensor is analyzed through the temperature change at each moment in a short period of time.

[0024] In one embodiment, the first determination module includes a first unit, a second unit, and a third unit; The first unit is used to determine a first position and all second positions except the first position from different positions, and determine a first average temperature of the first position and a second average temperature of each second position within a time window corresponding to each moment according to temperature data of the different positions, wherein the time window includes a preset number of moments.

[0025] For example, taking the preset number as 15 as an example, it is equivalent to the length of the time window being 15. The corresponding time window of length 15 is constructed as the center, and the first position (for example, the Locations, =1, or it can also be called the temperature sensor) and all second locations except the first location (e.g. Then, based on the temperature data at different locations, determine the first average temperature of the first location in the time window corresponding to each moment. and the second average temperature of each second position .

[0026] The second unit is used to determine, in chronological order, a first slope of the temperature at each adjacent moment in the time window in the first position and a second slope of the temperature at each adjacent moment in the time window in the second position.

[0027] Optionally, determine a first slope of the temperature at each adjacent time in the time window in the first position , that is, The first The first position at the moment ( The slope of the temperature at the location) and the temperature at the adjacent time, such as The temperature at the moment A first slope can be determined between the temperatures at the same time , so when the length of the time window is 15, =1, in chronological order (i.e. Increase from 1 to 14) 14 first slopes can be determined , that is, determine the first slope of the temperature at each adjacent moment Similarly, the second slope of the temperature at each adjacent moment in the time window in the second position can be determined , that is, The first The second position at the moment ( The slope of the temperature at each position and the temperature at the adjacent time can be obtained in chronological order. .

[0028] The third unit is used to determine the temperature change correlation between the first position and all the second positions at each moment based on the first average temperature of the first position, the second average temperature of the second position, the first slope of the temperature at each adjacent moment, and the second slope of the temperature at each adjacent moment, and return to the step of determining the first position and all the second positions except the first position from different positions until the temperature change correlation between different positions at each moment is determined.

[0029] First, determine the first absolute value of the difference between the first average temperature at the first position and the second average temperature at the second position. .

[0030] Secondly, determine the second absolute value of the difference between the first slope of the temperature at each adjacent moment and the corresponding second slope of the temperature at each adjacent moment respectively. , and determine the sum of the second absolute values ​​corresponding to each second position .

[0031] Furthermore, a first product of the sum of the first absolute value and the corresponding second absolute value is determined respectively , and according to the number of the second position Multiply with all first products, sum and calculate the average value to get the temperature change related parameters .

[0032] Finally, according to the temperature change related parameters and the natural exponential function , the temperature change correlation between the first position and all the second positions at each moment is obtained. The specific formula is: in, For the The moment position (this time it represents the first position, =1) and the temperature change correlation between all second positions. Then, return to the step of determining the first position and all second positions except the first position from different positions until the temperature change correlation between different positions at each moment is determined. ,at this time It can take different values ​​to represent different times and locations.

[0033] It should be noted that The smaller it is, the similar the temperature of each temperature sensor is within the time window. Indicates The similarity of the change rate of the first position and other positions at adjacent times. The smaller the value, the The more similar the changes at each moment in the time window are, the more likely it is that the temperature point is not abnormally changing.

[0034] It should be noted that, since the heat in the center will be transferred to the surrounding area during pouring, the temperature monitored by the temperature sensor in the surrounding area will be affected by the center. This phenomenon of heat transfer may cause the temperature recorded by the surrounding temperature sensor to be mistakenly identified as abnormal data; it takes a certain amount of time to transfer heat from the temperature of the pouring center to the surrounding area. Therefore, after the temperature of the pouring center changes, the temperature of the surrounding area will change accordingly. The surrounding temperature changes again within a period of time after the temperature of the pouring center changes; the temperature sensors at different locations are affected by heat transfer at different times due to their different distances from the pouring center. External factors such as the environment will also affect the changes in heat transfer, and the misidentified temperature needs to be corrected. In addition, the closer the temperature sensor is to the pouring center, the more easily the temperature is affected by the heat of the center, resulting in temperature changes. The more easily the temperature is affected, the higher the correlation with the temperature change transmitted from the pouring center will be. The greater the impact of the temperature transmitted from the pouring center, the closer the correlation of the changes of temperature sensors at the same distance will be at the same time.

[0035] In one implementation, the first determination module further includes a fourth unit and a fifth unit; The fourth unit is used to determine the first position from the different positions, and determine the actual distance between the first position and the casting center and at least one third position having the same actual distance from the casting center.

[0036] Optionally, The first position (for example, =1), and determine the actual distance between the first position and the pouring center (No. distance from the pour center), and the same actual distance from the pour center At least one third position, for example locations.

[0037] The fifth unit is used to determine the degree of heat transfer influence of the first position at each moment based on the temperature change correlation of the first position, the temperature change correlation of each third position and the actual distance, and return to the step of determining the first position from different positions until the degree of heat transfer influence of different positions at each moment is obtained.

[0038] First, determine the temperature change correlation of the first position (No. time) and the correlation of the temperature change at each third position (No. The first difference value at the moment , and according to the first difference value and the number of first difference values (i.e. the number of the third position) and sum them to get the sum of the differences .

[0039] From this, determine the sum of the differences The second product of the actual distance , and according to the second product and the natural exponential function , determine the degree of heat transfer influence of the first position at each moment, the specific formula is: in, For the time( Take different values ​​to represent each moment) position (this means the first position, =1) The degree of heat transfer influence at the first location (i.e., the degree of heat transfer affected by heat transfer).

[0040] Then, the fifth unit will return to the step of determining the first position from different positions until the heat transfer influence degree of different positions at each moment is obtained. ,at this time It can take different values ​​to represent different times and locations.

[0041] It should be noted that Indicates that when The moment The closer the correlation between the changes in one position and other positions is, the greater the impact of temperature changes caused by heat transfer under normal conditions is, and the greater the degree of heat transfer is; the closer the temperature sensor is to the center position, the greater the impact of heat transfer is.

[0042] In one implementation, the second determination module includes a sixth unit, a seventh unit, an eighth unit, and a ninth unit; The sixth unit is used to determine the initial temperature anomaly degree of different positions at each moment according to the temperature data of different positions.

[0043] It should be noted that during the concrete pouring stage, temperature anomalies may occur, which may have a serious impact on the health of the concrete structure. Since the temperature during concrete pouring changes gradually, the difference in temperature changes at each adjacent moment is small, and the degree of temperature anomaly collected by each temperature sensor can be obtained through the temperature changes at adjacent moments; at the same time, the temperature inside the concrete usually changes according to a certain rule over time. The abnormal temperature collected by the temperature sensor may be a normal temperature change under normal reaction during the pouring process. The similarity of the changes between each temperature sensor is analyzed through the temperature changes at each moment in a short period of time. In addition, the temperature detected by the temperature sensors in the surrounding area will be affected by the pouring center, and the data that is mistakenly identified as temperature anomaly, the closer the temperature sensor is to the pouring center, the greater the impact of heat transfer, and the degree of heat transfer affected needs to be calculated. The degree of temperature anomaly is corrected by the degree of heat transfer and the correlation of changes, and the corrected target temperature anomaly is obtained. The places with high target temperature anomaly are inspected.

[0044] At the same time, during the construction of the bridge, especially during the concrete pouring stage, temperature anomalies may occur, which may have a serious impact on the health of the concrete structure. Improper temperature control after solidification may cause cracking and deformation of the concrete. Abnormal temperature changes will affect the formation and stability of its internal structure, resulting in substandard strength or impaired durability of the concrete. Rapid shrinkage or expansion on the surface or inside will cause cracks, thus affecting the normal use and safety of the bridge. Therefore, it is necessary to analyze the temperature changes in the historical data and find data with abnormal temperatures. Under normal circumstances, the temperature changes gradually during concrete pouring, and the difference in temperature changes at each adjacent moment is small, and the rate of change is similar. When the temperature at a moment is more different from all temperatures, it means that the temperature at that moment may be abnormal.

[0045] Optionally, in Unit 6: First, according to the temperature data at different locations, the third average temperature at different locations is determined. , that is, The mean temperature at all times at a location.

[0046] Second, determine the target moment from among all the moments (e.g. a moment, =1), calculate the temperature at each position corresponding to the target time The third average temperature The second difference value .

[0047] Then, calculate the similarity of the temperature difference between the adjacent two sides (left side) corresponding to the target time in each position. , the adjacent two sides include the left side: and 1 and the right side: and 1. The greater the similarity, the greater the temperature difference between the adjacent left sides. With the adjacent right (left ) The more dissimilar the temperature difference is, the more likely it is that there will be abnormal fluctuations and abnormal temperatures may occur. For the Position No. The temperature at that moment, For the Position No. The temperature at a moment.

[0048] Furthermore, according to the degree of similarity and the second difference value , determine the initial temperature anomaly degree at different locations at the target time, the specific formula is: in, For the moment (at this time =1 represents the target time) The initial temperature anomaly degree of each location; The larger the The temperature at a certain moment is more likely to be abnormal; is a constant with an upper limit based on the length of the time window.

[0049] Finally, return to the step of determining the target moment from all moments until the initial temperature anomaly degree at different locations at each moment is obtained. ,at this time It can take different values ​​to represent different times and locations.

[0050] The seventh unit is used to determine the average temperature of the time window corresponding to each moment, and determine the environmental impact value at each moment based on the average temperature and the degree of heat transfer impact.

[0051] It should be noted that in hot weather, the water on the concrete surface evaporates too quickly, resulting in a significant temperature difference between the inside and the surface of the concrete, which may cause cracks on the concrete surface. Especially in the early stage of concrete hardening, the water evaporates too quickly, causing the surface of the concrete to shrink, while the volume inside the concrete fails to shrink synchronously due to the ongoing hydration reaction, thus generating stress and causing cracks. However, in a high temperature environment, the water on the concrete surface evaporates quickly, resulting in the inability to effectively transfer heat from the inside to the surface, which makes the heat transfer phenomenon monitored by the temperature sensor less obvious, and even no obvious heat transfer in some cases. Therefore, the small heat transfer phenomenon when the temperature is high should also be taken seriously.

[0052] Specifically, in Unit 7: First, by continuously collecting the ambient temperature values, the average temperature of the time window corresponding to each moment can be calculated. , that is, The mean temperature in the time window corresponding to the moment.

[0053] Then, according to the degree of heat transfer at different locations at each moment and the number of locations , and sum it up to get the total degree of heat transfer influence at each moment .

[0054] Finally, the environmental impact value at each moment is determined according to the first ratio of the average temperature of the time window corresponding to each moment to the sum of the heat transfer impact degree at each moment: in, For the Therefore, if the heat transfer effect of each temperature sensor is small, when the temperature is high, it may be greatly affected by the ambient temperature, and the possibility of abnormal conditions is high.

[0055] The eighth unit is used to determine the correction index of different positions at each moment according to the temperature change correlation and the degree of heat transfer influence.

[0056] It should be noted that when correcting data that is mistakenly identified as temperature anomalies, it is necessary to analyze the change correlation between each temperature sensor and the impact of the degree of heat transfer on the temperature. The greater the degree to which the temperature sensor is affected by heat transfer, the more likely it is that the temperature data that may appear abnormal at this time is normal temperature data, and the degree of temperature anomaly needs to be reduced. At the same time, when the changes of the temperature sensor are similar to those of other temperature sensors, the abnormal temperature data may actually be normal temperature data, and the degree of temperature anomaly needs to be reduced. The initial temperature anomaly of different temperature sensors at each moment should be corrected, so it is necessary to determine the correction index.

[0057] Specifically, according to the temperature change correlation between different positions at each moment And the degree of heat transfer at different locations at each moment The third product of determines the correction index at different positions at each moment: in, For the The moment The correction index of each position; when the heat transfer affects the degree The larger the temperature change, the The larger the value, the The moment The greater the possibility that the temperature of a sensor is normal, the smaller the possibility that the temperature is abnormal, and the larger the corresponding correction index.

[0058] The ninth unit is used to obtain the target temperature abnormality degree at different positions at each moment according to the initial temperature abnormality degree, the environmental impact value and the correction index.

[0059] First, determine the initial temperature anomaly at different locations at each moment Correction index for different positions at each moment The second ratio .

[0060] Secondly, determine the second ratio The environmental impact value at each moment The sum of the values ​​of , we can get the (corrected) target temperature anomaly degree at different locations at each moment: in, For the Moment The target temperature abnormality at each position; when the correction index is larger, it means that the correlation between the heat transfer influence and the temperature change is greater, the influence on the temperature is greater, and the initial temperature abnormality needs to be reduced; when the correction index is smaller, it means that the correlation between the heat transfer influence and the temperature change is smaller, the influence on the temperature is smaller, and the initial temperature abnormality needs to be increased.

[0061] In one embodiment, a preset abnormal threshold value may be set in advance in the third determination module, and 0.8 is taken as an example, and the target temperature abnormality degree of different positions at each moment is compared with the preset abnormal threshold value 0.8, so as to determine the health status of different positions. For example, if the target temperature abnormality degree of a certain position is greater than 0.8, it is considered that the temperature at this position is abnormal, that is, the health status of this position is abnormal, and it is necessary to inspect the structure of this position on the bridge construction structure, analyze the cause of the abnormality, and make timely adjustments to the proportion of concrete or other factors; on the contrary, if the target temperature abnormality degree of a certain position is less than or equal to 0.8, it is considered that the temperature at this position is normal, and the health status of this position is normal.

[0062] The real-time monitoring system for the health status of the bridge construction structure of the embodiment of the present application installs temperature sensors at different positions of the bridge to obtain the temperatures at several moments, and then analyzes the temperature changes of different temperature sensors to obtain the initial temperature anomaly levels at different positions at each moment. In view of the similarity in the temperature change trends between different temperature sensors and the different heat transfer effects on temperature sensors at different distances, the temperature change correlation and heat transfer effect levels between temperature sensors at different positions are obtained, and a corresponding correction index is determined to correct the initial temperature anomaly level, adjust the initial temperature anomaly level that may be mistakenly identified as an abnormality, and obtain an accurate target temperature anomaly level, thereby obtaining an accurate health status of different positions on the bridge construction structure.

[0063] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A real-time monitoring system for the health status of a bridge construction structure, characterized in that: include: A collection module, used to collect temperature data of different positions of the bridge construction structure in real time during the pouring process of the bridge construction structure, each of the temperature data includes the temperature at several moments; A first determination module is used to determine the temperature change correlation between different positions at each moment according to the temperature data at different positions, and determine the heat transfer influence degree of different positions at each moment according to the temperature change correlation; A second determination module is used to determine the abnormal degree of the target temperature at different positions at each moment according to the temperature data at different positions, the temperature change correlation and the heat transfer influence degree; The third determination module is used to determine the health status of different locations according to the temperature abnormality degree and a preset abnormality threshold.

2. The real-time monitoring system for the health status of a bridge construction structure according to claim 1 is characterized by: The first determination module includes a first unit, a second unit and a third unit; The first unit is used to determine a first position and all second positions except the first position from different positions, and determine a first average temperature of the first position and a second average temperature of each second position in a time window corresponding to each moment according to the temperature data of the different positions, wherein the time window includes a preset number of moments; The second unit is used to determine, in chronological order, a first slope of the temperature at each adjacent moment in the time window in the first position and a second slope of the temperature at each adjacent moment in the time window in the second position; The third unit is used to determine the temperature change correlation between the first position and all the second positions at each moment based on the first average temperature of the first position, the second average temperature of the second position, the first slope of the temperature at each adjacent moment, and the second slope of the temperature at each adjacent moment, and return to the step of determining the first position and all the second positions except the first position from different positions until the temperature change correlation between different positions at each moment is determined.

3. The real-time monitoring system for the health status of a bridge construction structure according to claim 2 is characterized by: Determining the temperature change correlation between the first position and all the second positions at each moment according to the first average temperature of the first position, the second average temperature of the second position, the first slope of the temperature at each adjacent moment, and the second slope of the temperature at each adjacent moment comprises: respectively determining first absolute values ​​of differences between a first average temperature at the first position and a second average temperature at the second position; respectively determining the second absolute value of the difference between the first slope of the temperature at each adjacent moment and the corresponding second slope of the temperature at each adjacent moment, and determining the sum of the second absolute values ​​corresponding to each of the second positions; respectively determining first products of the sum of the first absolute values ​​and the corresponding second absolute values, and calculating an average value after summing the sum of the number of the second positions and all the first products to obtain a temperature change related parameter; According to the temperature change related parameters and the natural exponential function, the temperature change correlation between the first position and all the second positions at each moment is obtained.

4. The real-time monitoring system for the health status of a bridge construction structure according to claim 1 is characterized by: The first determination module includes a fourth unit and a fifth unit; The fourth unit is used to determine a first position from different positions, and determine an actual distance between the first position and a casting center and at least one third position having the same actual distance from the casting center; The fifth unit is used to determine the degree of heat transfer influence of the first position at each moment based on the temperature change correlation of the first position, the temperature change correlation of each of the third positions and the actual distance, and return to the step of determining the first position from different positions until the degree of heat transfer influence of different positions at each moment is obtained.

5. The real-time monitoring system for the health status of a bridge construction structure according to claim 4 is characterized by: Determining the heat transfer influence degree of the first position at each moment according to the temperature change correlation of the first position, the temperature change correlation of each of the third positions and the actual distance comprises: respectively determining first difference values ​​of the temperature change correlation of the first position and the temperature change correlation of each of the third positions, and summing the first difference values ​​and the number of the first difference values ​​to obtain a difference sum; A second product of the sum of the differences and the actual distance is determined, and the degree of heat transfer influence of the first position at each moment is determined based on the second product and a natural exponential function.

6. The real-time monitoring system for the health status of a bridge construction structure according to any one of claims 2 to 5, characterized in that: The second determination module includes a sixth unit, a seventh unit, an eighth unit and a ninth unit; The sixth unit is used to determine the initial temperature anomaly degree of different positions at each moment according to the temperature data of different positions; The seventh unit is used to determine the average temperature of the time window corresponding to each moment, and determine the environmental impact value at each moment according to the average temperature and the heat transfer impact degree; The eighth unit is used to determine the correction index of different positions at each moment according to the temperature change correlation and the heat transfer influence degree; The ninth unit is used to obtain the target temperature abnormality degree at different positions at each moment according to the initial temperature abnormality degree, the environmental impact value and the correction index.

7. The real-time monitoring system for the health status of a bridge construction structure according to claim 6 is characterized by: Determining the initial temperature anomaly degree of different positions at each moment according to the temperature data of different positions includes: Determining a third average temperature at different locations according to the temperature data at different locations; Determine a target time from all the times, and calculate a second difference between the temperature at the target time and the third average temperature corresponding to each position; Calculate the similarity of the temperature difference between the adjacent two moments corresponding to the target moment in each position respectively, and determine the initial temperature anomaly degree of different positions at the target moment according to the similarity degree and the second difference value respectively, and return to the step of determining the target moment from all moments until the initial temperature anomaly degree of different positions at each moment is obtained.

8. The real-time monitoring system for the health status of a bridge construction structure according to claim 6 is characterized by: Determining the environmental impact value at each moment according to the average temperature and the heat transfer impact degree includes: According to the heat transfer influence degree of different positions at each moment and the number of positions, summing up is performed to obtain the sum of the heat transfer influence degree at each moment; The environmental impact value at each moment is determined according to a first ratio of the average temperature of the time window corresponding to each moment to the sum of the heat transfer impact degrees at each moment.

9. The real-time monitoring system for the health status of a bridge construction structure according to claim 6 is characterized by: The determining of the correction index at different positions at each moment according to the temperature change correlation and the heat transfer influence degree respectively includes: The correction index of different positions at each moment is determined according to the temperature change correlation between different positions at each moment and the third product of the heat transfer influence degree of different positions at each moment.

10. The real-time monitoring system for the health status of a bridge construction structure according to claim 6 is characterized by: The step of obtaining the target temperature abnormality degree at different positions at each moment according to the initial temperature abnormality degree, the environmental impact value and the correction index includes: Respectively determining a second ratio of the initial temperature anomaly degree at different positions at each moment to the correction index at different positions at each moment; The sum of the second ratio and the environmental impact value at each moment is determined respectively to obtain the target temperature abnormality degree at different positions at each moment.

Images