Prestress loss identification system and method for concrete frame structure

Abstract

The invention relates to the technical field of concrete recognition, and particularly discloses a prestress loss recognition system and method for a concrete frame structure, and the method comprises the steps: querying a concrete frame model, selecting an embedded point location in the frame model, and selecting a patch point location on the surface of the frame model; pre-stress is obtained based on the embedded type point location, strain is obtained according to the patch type point location, and the pre-stress is verified based on the strain; counting the verified prestress containing the point location at each moment, performing spatial domain processing and time domain processing on the prestress, and determining the loss amount; and adjusting the application frequency of the embedded point location according to the loss determination result. According to the method, the embedded type point positions and the patch type point positions are arranged, the prestress is obtained through the embedded type point positions, the strain is obtained through the patch type point positions, the strain is used for verifying the prestress instead of calculating the prestress, the accuracy of the prestress monitoring result is greatly improved, and then the calculation precision of the loss amount is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete identification, and specifically to a prestress loss identification system and method for a concrete frame structure. Background Art

[0002] The prestress monitoring of a concrete frame structure is usually to understand the actual effect, long-term change, loss situation of the prestress applied in the structure, and whether there are potential structural safety hazards.

[0003] Most of the existing detection methods use patch sensors. The strain is obtained through the patch sensors, and then the prestress is inferred, and the loss amount is calculated. There is a simulation process from strain to prestress, and the correct rate cannot reach 100%. Therefore, in some test occasions that require precision, the accuracy of the method that only uses patch sensors for calculation is difficult to meet the standard. Therefore, how to improve the accuracy of the prestress identification process is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide a prestress loss identification system and method for a concrete frame structure to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A prestress loss identification method for a concrete frame structure, the method includes: Query the frame model of the concrete, select embedded points within the frame model, and select patch points on the surface of the frame model; Obtain the prestress based on the embedded points, obtain the strain based on the patch points, and verify the prestress based on the strain; among them, the obtained prestress contains a time tag and a position tag, and the obtained strain contains a time tag and a position tag; Statistically analyze the verified prestress containing points at each moment, perform spatial domain processing and time domain processing on the prestress, and determine the loss amount; Adjust the application frequency of the embedded points according to the result determined by the loss amount.

[0006] As a further solution of the present invention: the step of querying the frame model of the concrete, selecting embedded points within the frame model, and selecting patch points on the surface of the frame model includes: Query the frame model of the concrete and its pouring sequence; Based on the fluidity simulation software, simulate the pouring process to determine the pouring formed body; Select the embedded points according to the entity characteristics of the pouring formed body; Select the patch points according to the selected embedded points.

[0007] As a further solution of the present invention: the step of selecting the embedded points according to the physical characteristics of the casting body includes: The casting body is segmented according to a preset first grid, and the grid nodes of the first grid are used as internal nodes; the cell length of the first grid is a preset value; Obtain whether there is a solid at the internal node. If there is a solid, set the value at the internal node to one. If there is no solid, set the value at the internal node to zero; For any internal node, calculate the eigenvalue at the internal node based on a preset Gaussian kernel; Select the grid nodes with eigenvalues greater than a preset eigenvalue threshold as the embedded points; The step of selecting the patch points according to the selected embedded points includes: The surface of the casting body is extended, and the casting body is segmented according to a preset second grid. The grid nodes of the second grid are used as surface nodes; For any surface node, calculate the sum of the distances between each internal node and the surface node, and arrange the surface nodes in ascending order according to the sum of the distances; Select a preset number of surface nodes from the arranged surface nodes as the patch points.

[0008] As a further solution of the present invention: the step of obtaining the prestress based on the embedded points, obtaining the strain based on the patch points, and verifying the prestress based on the strain includes: Regularly obtain the prestress based on the embedded points, and determine the position label and time label according to the position and acquisition time of the embedded points; Obtain the strain based on the patch points in real time, and determine the position label and time label according to the position and acquisition time of the patch points; Verify the prestress based on the application in finite element analysis software; Wherein, when a temperature sensor is installed at the patch point, the strain is compensated and adjusted based on the temperature.

[0009] As a further solution of the present invention: the step of counting the verified prestress containing points at each moment, performing spatial domain processing and time domain processing on the prestress, and determining the loss amount includes: Count the verified prestress containing points at each moment and construct a prestress matrix; Calculate the gradient at each data point in the prestress matrix; Determine the weight of each data according to the gradient; Calculate the loss amount based on the time domain difference of the prestress, and accumulate the loss amount according to the weight to obtain the final loss amount; Wherein, the calculation process of the weight of each data is: ; where, is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, is the total number of data in the direction,

[0010] The

[0010] direction, Read the loss amounts calculated at each moment; Calculate the change rate of the loss amount, compare the change rate of the loss amount with a preset change rate threshold, query the change rate threshold reached by the change rate of the loss amount, and read the application frequency corresponding to the change rate threshold; Among them, the corresponding relationship between the change rate threshold and the application frequency is a preset value, and the larger the change rate threshold, the higher the application frequency.

[0011] The technical solution of the present invention also provides a prestress loss identification system for a concrete frame structure, and the system includes: A point position creation module, which is used to query the frame model of the concrete, select embedded point positions in the frame model, and select patch type point positions on the surface of the frame model; A stress acquisition and verification module, which is used to obtain prestress based on the embedded point positions, obtain strain based on the patch type point positions, and verify the prestress based on the strain; among them, the obtained prestress contains a time tag and a position tag, and the obtained strain contains a time tag and a position tag; A loss amount determination module, which is used to count the verified prestress containing point positions at each moment, perform spatial domain processing and time domain processing on the prestress, and determine the loss amount; An application frequency determination module, which is used to adjust the application frequency of the embedded point positions according to the loss amount determination result.

[0012] As a further solution of the present invention: The point position creation module includes: A reference information query unit for querying the frame model of the concrete and its pouring sequence; A pouring simulation unit for simulating the pouring process based on fluidity simulation software to determine the poured formed body; An internal point position selection unit for selecting embedded point positions according to the physical characteristics of the poured formed body; An external point position selection unit for selecting patch type point positions according to the selected embedded point positions.

[0013] As a further solution of the present invention: The stress acquisition and verification module includes: A first data acquisition unit for regularly acquiring prestress based on the embedded point positions, and determining a position tag and a time tag according to the position and acquisition time of the embedded point positions; A second data acquisition unit for real-time acquiring strain based on the patch type point positions, and determining a position tag and a time tag according to the position and acquisition time of the patch type point positions; A verification execution unit for verifying the prestress based on the application in finite element analysis software; Wherein, when a temperature sensor is installed at the patch type point position, the strain is compensated and adjusted based on the temperature.

[0014] As a further solution of the present invention: The loss amount determination module includes: A matrix construction unit for counting the verified prestress containing point positions at each moment and constructing a prestress matrix; A gradient calculation unit for calculating the gradient at each data point in the prestress matrix; A weight calculation unit for determining the weight of each data according to the gradient; A loss amount accumulation unit for calculating the loss amount based on the time domain difference of the prestress, and accumulating the loss amount according to the weight to obtain the final loss amount; Wherein, the calculation process of the weight of each data is: ; In the formula, is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, The total number of data in the direction, is the total number of data in the direction; The direction,

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention sets embedded points and patch points. The prestress is obtained from the embedded points, and the strain is obtained from the patch points. The strain is used to verify the prestress instead of calculating the prestress, which greatly improves the accuracy of the prestress monitoring results and further improves the calculation accuracy of the loss amount. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0017] Figure 1 It is a flowchart of a method for identifying prestress loss in a concrete frame structure.

[0018] Figure 2 It is a first sub-flowchart of a method for identifying prestress loss in a concrete frame structure.

[0019] Figure 3 It is a second sub-flowchart of a method for identifying prestress loss in a concrete frame structure.

[0020] Figure 4 It is a third sub-flowchart of a method for identifying prestress loss in a concrete frame structure.

[0021] Figure 5 It is a fourth sub-flowchart of a method for identifying prestress loss in a concrete frame structure.

[0022] Figure 6 It is a block diagram of the composition structure of a prestress loss identification system for a concrete frame structure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the following further describes the present invention in detail with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0024] Figure 1It is a flowchart of a method for identifying prestress loss in a concrete frame structure. In an embodiment of the present invention, a method for identifying prestress loss in a concrete frame structure includes: Step S100: Query the frame model of the concrete, select embedded points within the frame model, and select patch points on the surface of the frame model; Before the concrete is poured, a frame model will be pre-built. The frame model is the state after the concrete solidifies. Based on the frame model, embedded points and patch points are selected. Among them, fiber Bragg grating sensors can be installed at the embedded points. Its advantages are anti-electromagnetic interference, high precision, and suitability for long-term embedded monitoring. The embedding method is that when the concrete is just poured, it is similar to a fluid and the fiber Bragg grating sensors can be completely embedded. Strain gauge sensors can be installed at the patch points to monitor the surface strain of the concrete or steel bars, and the stress or prestress loss is deduced through the strain. The installation difficulty of the patch points is very low and they can be directly installed on the surface.

[0025] Step S200: Obtain the prestress based on the embedded points, obtain the strain based on the patch points, and verify the prestress based on the strain; among them, the obtained prestress contains a time tag and a position tag, and the obtained strain contains a time tag and a position tag; Obtain the prestress according to the fiber Bragg grating sensors installed at the embedded points, obtain the strain according to the strain gauge sensors installed at the patch points. The cause of the strain is the prestress, and the accuracy of the monitoring result of the prestress can be judged according to the strain. At the same time, whether obtaining the prestress or the strain, it is necessary to contain a time tag and a position tag.

[0026] Step S300: Statistically analyze the verified prestress containing points at each moment, perform spatial domain processing and time domain processing on the prestress, and determine the loss amount; After the prestress is verified, its accuracy is relatively high. Statistically analyze the prestress at each verified point at different moments, identify the prestress at different points at the same moment, and identify the prestress at the same point at different moments, and the loss amount can be obtained. The loss amount of prestress refers to the part of the force value that causes the prestress value to decrease due to various reasons after the initial prestress is applied. The main calculation process is the time domain processing process, and the spatial domain processing process only improves the accuracy of the time domain processing process.

[0027] Step S400: Adjust the application frequency of the embedded points according to the determined result of the loss amount; It should be noted that fiber grating sensors are installed at embedded points. After installation, it is difficult to remove them. In addition, in order to ensure that the impact is small, no external wiring will be performed (external wiring will increase the impact volume on the concrete pouring process, that is, the volume of the wiring harness contained in the concrete). This means that the energy supply process of the equipment at the embedded points is off-grid. It can only use the equipped power supply, and its energy capacity is limited. In other words, its battery life is limited. Under this architecture, the application frequency of the embedded points is adjusted according to the calculated loss amount to adjust the application frequency, which in disguise increases its usage time.

[0028] Figure 2 The first sub-flow chart of the method for identifying prestress loss of a concrete frame structure is shown in the figure. The steps of querying the concrete frame model, selecting embedded points in the frame model, and selecting patch points on the surface of the frame model include: Step S101: query the concrete frame model and its pouring sequence; Step S102: simulating the pouring process based on fluidity simulation software to determine the pouring molding; Step S103: selecting embedded points according to the physical characteristics of the cast body; Step S104: Selecting a patch point according to the selected embedded point.

[0029] In an example of the technical solution of the present invention, the point selection process is described, and the concrete frame model and its pouring sequence are queried. The pouring sequence is generally from which point to start pouring and how much to pour. Then, the pouring process is simulated based on the fluidity simulation software to determine the cast body. The fluidity simulation software is mostly existing software, and a simple simulation is sufficient. During the molding process, some missing parts will appear, that is, internal holes, which can be compensated by timed feeding. The timed feeding process is also included in the pouring sequence in the above content. The final cast body contains holes, which are used as simulation results in the simulation software.

[0030] Embedded points are selected based on the entity features of the generated cast molding. After the embedded points are determined, the patch points are determined on the surface.

[0031] As a preferred embodiment of the technical solution of the present invention, the step of selecting embedded points according to the physical characteristics of the cast body includes: The cast molded body is divided according to a preset first grid, and the grid nodes of the first grid are used as internal nodes; the cell length of the first grid is a preset value; Get whether there is an entity at the internal node. If there is an entity, set the value of the internal node to one. If there is no entity, set the value of the internal node to zero. For any internal node, calculate the eigenvalue at this internal node based on a preset Gaussian kernel; Select the grid nodes whose eigenvalues are greater than a preset eigenvalue threshold as the embedded points.

[0032] Analyze the cast body, insert a first grid into the cast body, which can be directly inserted in software, and the grid function is available in most software. Cut the cast body according to the preset first grid. The grid nodes of the first grid can be called internal nodes. Check whether there is an entity at the internal node in the cast body. If there is, set the value at the internal node to one; if there is no entity, set the value at the internal node to zero. After all internal nodes are assigned values, calculate the eigenvalue of each internal node. The calculation process uses a Gaussian kernel. It is worth mentioning that since the first grid is regular, each grid node exactly forms a matrix; in addition, the cell length of the first grid is a preset value, which is used to adjust the number of internal nodes; select the grid nodes whose eigenvalues are greater than a preset eigenvalue threshold as the embedded points.

[0033] As a preferred embodiment of the technical solution of the present invention, the step of selecting the patch points according to the selected embedded points includes: Extend the surface of the cast body, cut the cast body according to a preset second grid, and use the grid nodes of the second grid as surface nodes; For any surface node, calculate the sum of the distances between each internal node and the surface node, and arrange the surface nodes in ascending order according to the sum of the distances; Select a preset number of surface nodes from the arranged surface nodes as the patch points.

[0034] In an example of the technical solution of the present invention, the patch points are defined. Extend the surface of the cast body, cut the cast body according to a preset second grid, and use the grid nodes of the second grid as surface nodes. This process is actually similar to the process of determining the internal nodes, except that the second grid is a two-dimensional grid for the surface and the first grid is a three-dimensional grid for the cast body; for any surface node, calculate the sum of the distances between each internal node and the surface node, and arrange the surface nodes in ascending order according to the sum of the distances. Select a preset number of surface nodes from the arranged surface nodes as the patch points.

[0035] Among them, arranging the surface nodes in ascending order according to the sum of the distances means that the surface nodes closer to the set internal nodes are ranked higher and are more likely to be selected as patch points, and the verification result of the prestress of the internal nodes is more accurate.

[0036] Figure 3 It is the second sub - process block diagram of the prestress loss identification method for a concrete frame structure. The steps of obtaining prestress based on embedded points, obtaining strain based on patch - type points, and verifying prestress based on the strain include: Step S201: Regularly obtain prestress based on embedded points, and determine the position label and time label according to the position and acquisition time of the embedded points; Step S202: Real - time obtain strain based on patch - type points, and determine the position label and time label according to the position and acquisition time of the patch - type points; Step S203: Verify the prestress based on the application in finite - element analysis software; Among them, when a temperature sensor is installed at the patch - type point, the strain is compensated and adjusted based on the temperature.

[0037] In an example of the technical solution of the present invention, prestress containing position labels and time labels is regularly obtained based on embedded points, and strain containing position labels and time labels is real - time obtained based on patch - type points. Since the energy of the fiber - Bragg grating sensor installed at the embedded point is limited, its data acquisition and upload frequency should be smaller, that is, data is acquired regularly; while the patch - type point is used to install a strain - gauge sensor, which can be directly connected to the power supply, and its data acquisition frequency can be higher. Therefore, data is acquired in real - time.

[0038] After data acquisition is completed, the prestress and strain are registered according to the time label, and then simulation is carried out in finite - element analysis software, and the prestress can be verified.

[0039] Figure 4 It is the third sub - process block diagram of the prestress loss identification method for a concrete frame structure. The steps of statistically analyzing the verified prestress containing points at each moment, performing spatial - domain processing and time - domain processing on the prestress, and determining the loss amount include: Step S301: Statistically analyze the verified prestress containing points at each moment, and construct a prestress matrix; Step S302: Calculate the gradient at each data point in the prestress matrix; Step S303: Determine the weight of each data according to the gradient; Step S304: Calculate the loss amount based on the time - domain difference of the prestress, and accumulate the loss amount according to the weight to obtain the final loss amount.

[0040] In an example of the technical solution of the present invention, the calculation process of the loss amount is described. The prestress of the verified points at each moment is counted. Since the points are the points determined according to the first grid, and the nodes of the first grid are themselves matrix structures, the prestress is counted in the order of the points to obtain a prestress matrix. For the prestress matrix at each moment, the gradients of the data at each point are calculated. The gradients include horizontal gradients and vertical gradients. According to the gradients, the degree of difference between the data at each point at this moment and the data at the surrounding points can be determined, and then the weights can be determined. Generally, the greater the degree of difference, the more important it is considered, and the greater the weight.

[0041] On the basis of completing the weight calculation, calculate the time domain difference of the prestress at each point at the current moment (the difference between the current prestress and the prestress at the previous moment at the same position can be calculated), and then calculate the loss amount. Based on the weights, the loss amounts at each position are accumulated to obtain the final loss amount; it should be noted that the calculated loss amount is the loss amount at one moment, and the loss amount also contains a time label. Since the acquisition process of the prestress is originally timed and the time interval for acquiring data is large, even if the loss amounts at each moment are obtained, the overall calculation result of the loss amount will not be too much.

[0042] Among them, the calculation process of the weights of each data is as follows: ; in the formula, is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, is the total number of data in the direction, is the total number of data in the direction; The direction, direction and direction are preset directions based on the Cartesian coordinate system.

[0043] The principle of the weight calculation process is that the weight is proportional to the modulus of the sum of the gradients. In addition, the weight needs to be normalized to the range from zero to one; on the basis of knowing the weight, multiplying the weight by the loss amount and then summing them up can obtain the final loss amount.

[0044] Figure 5 It is the block diagram of the fourth sub - process for the method of identifying prestress loss in a concrete frame structure. The step of adjusting the application frequency of the embedded points according to the loss amount determination result includes: Step S401: Read the loss amounts calculated at each moment; Step S402: Calculate the change rate of the loss amount, compare the change rate of the loss amount with a preset change rate threshold, query the change rate threshold reached by the change rate of the loss amount, and read the application frequency corresponding to the change rate threshold; Among them, the corresponding relationship between the change rate threshold and the application frequency is a preset value. The larger the change rate threshold, the higher the application frequency.

[0045] In an example of the technical solution of the present invention, a process of adjusting the application frequency is introduced. Read the loss amounts calculated at each moment, subtract the loss amount at the previous moment from each loss amount, and then divide by the current loss amount to obtain the change rate. Calculate the change rate of the loss amount, compare the change rate of the loss amount with a preset change rate threshold, query the change rate threshold reached by the change rate of the loss amount, and read the application frequency corresponding to the change rate threshold. The corresponding relationship between the change rate threshold and the application frequency can be pre - set by the staff in a table. When in use, directly read the data from the table.

[0046] Figure 6 It is the block diagram of the composition structure of the prestress loss identification system for a concrete frame structure. In an embodiment of the present invention, a prestress loss identification system for a concrete frame structure, the system 10 includes: A point - position creation module 11, used to query the frame model of the concrete, select embedded points within the frame model, and select patch - type points on the surface of the frame model; A stress acquisition and verification module 12, used to obtain prestress based on the embedded points, obtain strain based on the patch - type points, and verify the prestress based on the strain; among them, the obtained prestress contains time tags and position tags, and the obtained strain contains time tags and position tags; A loss amount determination module 13, used to count the verified prestress with points at each moment, perform spatial - domain processing and time - domain processing on the prestress, and determine the loss amount; An application frequency determination module 14, used to adjust the application frequency of the embedded points according to the loss amount determination result.

[0047] Furthermore, the point - position creation module 11 includes: A reference information query unit, used to query the frame model of the concrete and its pouring sequence; A pouring simulation unit, used to simulate the pouring process based on fluidity simulation software and determine the poured - formed body; An internal point selection unit for selecting embedded points according to the solid characteristics of the casting body; An external point selection unit for selecting patch points according to the selected embedded points.

[0048] Specifically, the stress acquisition and verification module 12 includes: A first data acquisition unit for periodically acquiring prestress based on the embedded points, and determining a position tag and a time tag according to the position and acquisition time of the embedded points; A second data acquisition unit for acquiring strain in real time based on the patch points, and determining a position tag and a time tag according to the position and acquisition time of the patch points; A verification execution unit for verifying the prestress based on the application in finite element analysis software; Wherein, when a temperature sensor is installed at the patch point, the strain is compensated and adjusted based on the temperature.

[0049] Furthermore, the loss amount determination module 13 includes: A matrix construction unit for counting the verified prestress containing points at each moment and constructing a prestress matrix; A gradient calculation unit for calculating the gradient at each data point in the prestress matrix; A weight calculation unit for determining the weight of each data according to the gradient; A loss amount accumulation unit for calculating the loss amount based on the time domain difference of the prestress, and accumulating the loss amount according to the weight to obtain the final loss amount; Wherein, the calculation process of the weight of each data is: ; In the formula, is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, is the total number of data in the direction, is the total number of data in the direction; The direction, direction and direction are preset directions based on the Cartesian coordinate system.

[0050] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for identifying prestress loss in a concrete frame structure, characterized in that The method includes: Querying the frame model of the concrete, selecting embedded points within the frame model, and selecting patch points on the surface of the frame model; Obtaining prestress based on the embedded points, obtaining strain based on the patch points, and verifying the prestress based on the strain; wherein, the obtained prestress contains a time tag and a position tag, and the obtained strain contains a time tag and a position tag; Statistically analyzing the verified prestress with points at each moment, performing spatial domain processing and time domain processing on the prestress, and determining the loss amount; Adjusting the application frequency of the embedded points according to the determined result of the loss amount.

2. The method for identifying prestress loss of a concrete frame structure according to claim 1, characterized in that, The steps of querying the frame model of the concrete, selecting embedded points within the frame model, and selecting patch points on the surface of the frame model include: Querying the frame model of the concrete and its pouring sequence; Simulating the pouring process based on the fluidity simulation software to determine the poured formed body; Selecting embedded points according to the entity characteristics of the poured formed body; Selecting patch points according to the selected embedded points.

3. The method for identifying the prestress loss of a concrete frame structure according to claim 2, characterized in that, The steps of selecting embedded points according to the entity characteristics of the poured formed body include: Dividing the poured formed body according to a preset first grid, and taking the grid nodes of the first grid as internal nodes; the cell length of the first grid is a preset value; Obtaining whether there is an entity at the internal node. If there is an entity, setting the value at the internal node to one; if there is no entity, setting the value at the internal node to zero; For any internal node, calculating the eigenvalue at the internal node based on a preset Gaussian kernel; Selecting the grid nodes with eigenvalues greater than a preset eigenvalue threshold as the embedded points; The steps of selecting patch points according to the selected embedded points include: Extending the surface of the poured formed body, dividing the poured formed body according to a preset second grid, and taking the grid nodes of the second grid as surface nodes; For any surface node, calculating the sum of the distances between each internal node and the surface node, and arranging the surface nodes in ascending order according to the sum of the distances; Selecting a preset number of surface nodes from the arranged surface nodes as the patch points.

4. The method for identifying the prestress loss of the concrete frame structure according to claim 1, characterized in that, The steps of obtaining prestress based on the embedded points, obtaining strain based on the patch points, and verifying the prestress based on the strain include: Regularly obtaining prestress based on the embedded points, and determining the position tag and time tag according to the position and acquisition time of the embedded points; Real-time obtaining strain based on the patch points, and determining the position tag and time tag according to the position and acquisition time of the patch points; Verifying the prestress based on the application in the finite element analysis software; Wherein, when a temperature sensor is installed at the patch point, compensating and adjusting the strain based on the temperature.

5. The method for identifying the prestress loss of a concrete frame structure according to claim 1, characterized in that, The steps of statistically analyzing the verified prestress with points at each moment, performing spatial domain processing and time domain processing on the prestress, and determining the loss amount include: Statistically analyzing the verified prestress with points at each moment, and constructing a prestress matrix; Calculating the gradient at each data point in the prestress matrix; Determining the weight of each data according to the gradient; Calculating the loss amount based on the time domain difference of the prestress, and accumulating the loss amount according to the weight to obtain the final loss amount; Among them, the calculation process of the weight of each data is as follows: ; wherein, is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, is the total number of data in the direction; direction, direction and direction are preset directions based on the Cartesian coordinate system.

6. The method for identifying the prestress loss of the concrete frame structure according to claim 1, characterized in that, The step of determining the application frequency of the embedded point according to the result of the loss amount includes: Read the loss amount calculated at each moment; Calculate the change rate of the loss amount, compare the change rate of the loss amount with a preset change rate threshold, query the change rate threshold reached by the change rate of the loss amount, and read the application frequency corresponding to the change rate threshold; Among them, the corresponding relationship between the change rate threshold and the application frequency is a preset value. The larger the change rate threshold, the higher the application frequency.

7. A prestress loss identification system for a concrete frame structure, characterized in that, The system includes: A point position creation module, used to query the frame model of the concrete, select embedded point positions within the frame model, and select patch type point positions on the surface of the frame model; A stress acquisition and verification module, used to obtain prestress based on the embedded point positions, obtain strain based on the patch type point positions, and verify the prestress based on the strain; among them, the obtained prestress contains a time tag and a position tag, and the obtained strain contains a time tag and a position tag; A loss amount determination module, used to count the verified prestress containing point positions at each moment, perform spatial domain processing and time domain processing on the prestress, and determine the loss amount; An application frequency determination module, used to adjust the application frequency of the embedded point positions according to the result of the loss amount determination.

8. The prestress loss identification system for a concrete frame structure according to claim 7, characterized in that The point position creation module includes: A reference information query unit, used to query the frame model of the concrete and its pouring sequence; A pouring simulation unit, used to simulate the pouring process based on fluidity simulation software and determine the poured formed body; An internal point position selection unit, used to select embedded point positions according to the physical characteristics of the poured formed body; An external point position selection unit, used to select patch type point positions according to the selected embedded point positions.

9. The prestress loss identification system for a concrete frame structure according to claim 7, characterized in that, The stress acquisition and verification module includes: A first data acquisition unit, used to obtain prestress based on the embedded point positions at regular intervals, and determine the position tag and time tag according to the position and acquisition time of the embedded point positions; A second data acquisition unit, used to obtain strain based on the patch type point positions in real time, and determine the position tag and time tag according to the position and acquisition time of the patch type point positions; A verification execution unit, used to verify the prestress based on the application in finite element analysis software; Among them, when a temperature sensor is installed at the patch type point position, the strain is compensated and adjusted based on the temperature.

10. The prestress loss identification system for a concrete frame structure according to claim 7, characterized in that, The loss amount determination module includes: A matrix construction unit, used to count the verified prestress containing point positions at each moment and construct a prestress matrix; A gradient calculation unit, used to calculate the gradient at each data point in the prestress matrix; A weight calculation unit, used to determine the weight of each data according to the gradient; A loss amount accumulation unit, used to calculate the loss amount based on the time domain difference of the prestress, and accumulate the loss amount according to the weight to obtain the final loss amount; Among them, the calculation process of the weight of each data is as follows: ; where is the weight of the data at position , is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the gradient of the data at position in the direction, is the total number of data in the direction, is the total number of data in the direction; direction, direction, and direction are preset directions based on the Cartesian coordinate system.

Images