A building steel structure strength detection device

Abstract

The present invention relates to the field of material testing for testing the strength characteristics of materials, and specifically to a building steel structure strength detection device, comprising: a plurality of spring module bases, the spring module bases fix springs, a spring pressure sensor is installed under the springs, and an electric push rod is installed under each spring module base; the abnormal deformation position is obtained according to the output pressure of the spring pressure sensor under the spring and the length of the electric push rod under the spring module base where the spring is located, and the pressure output by the hammer hydraulic rod is controlled according to the abnormal deformation position and the length of the electric push rod under the spring module base at the abnormal deformation position is changed. The present invention maintains the stability of the hammer hydraulic rod, avoids the situation of instability when suddenly deformed or broken, and ensures that the strength detection process can continue.

Description

Technical Field

[0001] The invention relates to the field of material testing for testing the strength characteristics of materials, and in particular to a building steel structure strength detection device. Background Art

[0002] When testing the strength of a building steel structure, pressure is generally applied to the steel structure members to deform them until they break, and the strength of the steel structure is described or analyzed by the deformation of the steel structure members and the pressure at the time of breakage. For example, a building steel structure strength detection device disclosed in CN110426281B and a building steel structure strength detection device disclosed in CN220729893U can both realize the strength detection process of the steel structure.

[0003] However, due to defects or damages in the steel structure, such as cracks or poor welding, it may fail suddenly during the pressure application process, resulting in pressure changes; or due to stress concentration points in the design or manufacturing, these parts may fail first during the pressure application process, resulting in sudden changes in system pressure. This will interrupt the strength test process on the one hand, and on the other hand, the equipment (such as hydraulic equipment) that applies pressure to the steel structure will not be able to release the pressure in time, resulting in unstable pressure, damaging the strength detection device, and even when the pressure applied to the structure is large, when the output pressure is unstable (that is, when there is no time to release the pressure), it will cause safety accidents. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a building steel structure strength detection device.

[0005] An embodiment of the present invention provides a building steel structure strength detection device, comprising a box body, a pressure hammer, a hammer head hydraulic rod connected to the pressure hammer, a steel structure to be detected, and a clamping hydraulic rod for fixing the steel structure, a plurality of spring module bases are arranged below the steel structure, a plurality of springs are fixed on each spring module base, a spring array composed of springs on all spring module bases is located below the steel structure, a spring pressure sensor is installed below each spring, and an electric push rod is installed below each spring module base; a hammer head pressure sensor is installed on the hammer head part of the pressure hammer, a processor is installed in a control cabinet on the box body, and the processor is installed to collect the pressure output by the hammer head pressure sensor and the spring pressure sensor, and control the hammer head hydraulic rod and the electric push rod;

[0006] The hammer hydraulic rod is started to push the pressure hammer to press the steel structure. When the steel structure is deformed, it applies pressure to the springs in the spring array. When the average pressure of all springs on each spring module base is greater than or equal to a preset threshold, the spring module base is displaced by controlling the length of the electric push rod, so that the average output pressure of the spring pressure sensor on the spring module base remains constant.

[0007] The steel structure deformation amount at each spring position is obtained according to the output pressure of the spring pressure sensor under the spring and the length of the electric push rod under the spring module base where the spring is located; at each moment, the steel structure deformation amount at each spring position in the spring array is abbreviated as the steel structure deformation amount at each position at each moment, and the abnormal deformation position is obtained according to the steel structure deformation amount of all positions at different moments and the pressure output by the hammer pressure sensor, and the pressure output by the hammer hydraulic rod is reduced according to the abnormal deformation position and the length of the electric push rod under the spring module base at the abnormal deformation position is increased.

[0008] Preferably, the spring module base and the spring are both replaceable, and the spring is replaced with a spring with a different elastic coefficient.

[0009] Preferably, when the length of the electric push rod is changed, each spring module base will move up and down accordingly.

[0010] Preferably, the method of obtaining the abnormal deformation position according to the deformation amount of the steel structure at all positions at different times and the pressure output by the hammer pressure sensor comprises the following specific steps:

[0011] For all the moments from when the hammer hydraulic rod is started and each spring is deformed under the pressure of the steel structure until the current time, the pressure output by the hammer pressure sensor at all the moments is recorded as the hammer pressure data sequence, and the pressure output by each spring pressure sensor is recorded as each spring pressure data sequence;

[0012] Obtain the noise interference amount of each spring pressure data sequence, average the noise interference amounts corresponding to all springs to obtain a comprehensive noise interference amount, and subtract the comprehensive noise interference amount from the hammer pressure data sequence to obtain a filtered hammer pressure data sequence;

[0013] The abnormal deformation position is obtained according to the filtered hammer pressure data sequence.

[0014] Preferably, the step of obtaining the abnormal deformation position according to the filtered hammer pressure data sequence includes the following specific steps:

[0015] The Kalman filter method is used to filter the deformation of the steel structure at all times at each position and the filtered hammer pressure data sequence, and the state matrix obtained by the Kalman filter method is used as the steel structure feature at each position;

[0016] Obtain the difference in steel structure characteristics between each position and the adjacent positions, and record it as the steel structure strength difference at each position;

[0017] The LOF anomaly detection algorithm is used to obtain the abnormal steel structure strength difference from the steel structure strength differences at all positions, and the position corresponding to the abnormal steel structure strength difference is recorded as the abnormal deformation position.

[0018] Preferably, the step of obtaining the noise interference amount of each spring pressure data sequence includes the following specific steps:

[0019] The difference between the maximum and minimum values ​​of each spring pressure data sequence is taken as the noise interference.

[0020] Preferably, the specific step of obtaining the steel structure strength difference at each position is: taking the average of the Euclidean distances between the steel structure characteristics at each position and the steel structure strengths of all positions within a preset neighborhood as the steel structure strength difference at each position.

[0021] Preferably, the method of reducing the pressure output by the hammer hydraulic rod according to the abnormal deformation position and increasing the length of the electric push rod below the spring module base at the abnormal deformation position includes the following specific steps:

[0022] The LOF anomaly detection algorithm is used to obtain the local outlier factor of each abnormal deformation position, which is recorded as the degree of abnormality of each abnormal deformation position;

[0023] When there is an abnormal deformation position with an abnormality greater than a first preset threshold, the pressure output by the hammer hydraulic rod at the next moment from the current moment is reduced by a preset percentage, and at the same time, the electric push rod under the spring module base where the abnormal deformation position with an abnormality greater than the first preset threshold is located is extended, so that the average pressure output by the spring pressure sensors under all springs on the spring module base increases by a preset percentage.

[0024] Preferably, the step of obtaining the deformation amount of the steel structure at the location of each spring according to the output pressure of the spring pressure sensor under the spring and the length of the electric push rod under the spring module base where the spring is located includes the following specific steps:

[0025] The deformation of the spring at each position is obtained according to the output pressure of the spring pressure sensor and the elastic coefficient of each spring. The deformation of the spring at each position plus the changed length of the electric push rod is used to obtain the deformation of the steel structure at each spring position.

[0026] Preferably, the computer program in the processor implements the above steps when executed.

[0027] The beneficial effects of the technical solution of the present invention are:

[0028] There are several spring module bases under the steel structure, and several springs are fixed on each spring module base. A spring pressure sensor is installed under each spring, and an electric push rod is installed under each spring module base. When the average pressure of all springs on each spring module base is greater than or equal to a preset threshold, the spring module base is displaced by controlling the length of the electric push rod, so that the average output pressure of the spring pressure sensor on the spring module base remains constant; the deformation amount of the steel structure at each spring position is obtained according to the output pressure of the spring pressure sensor under the spring and the length of the electric push rod under the spring module base where the spring is located; this process obtains the deformation conditions at different positions by controlling the electric push rod.

[0029] Furthermore, the abnormal deformation position is obtained according to the deformation amount of the steel structure at all positions at different times and the pressure output by the hammer pressure sensor, the pressure output by the hammer hydraulic rod is controlled according to the abnormal deformation position, and the length of the electric push rod under the spring module base at the abnormal deformation position is changed, when an abnormal position occurs, the pressure of the hammer hydraulic rod is properly released, and at the same time, the electric push rod is used to offset the influence of sudden deformation or fracture caused by part of defects, damage or stress concentration, and the stability of the hammer hydraulic rod is maintained as much as possible to avoid instability during sudden deformation or fracture, so as to ensure that the strength detection process can continue, and finally ensure the safety and efficiency of the strength detection of the building steel structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be 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.

[0031] Figure 1 A schematic diagram of the structure of a building steel structure strength detection device provided by an embodiment of the present invention;

[0032] Figure 2 It is a top view of the spring module base;

[0033] Figure 3 It is the side view of the spring module base;

[0034] Figure 4 This is a schematic diagram of the electric push rod pushing the spring module base to move.

[0035] In the figure: 1. Box body; 2. Pressure hammer; 3. Hammer hydraulic rod; 4. Clamping hydraulic rod; 5. Steel structure; 6. Electric push rod; 7. Spring; 8. Spring pressure sensor; 9. Spring module base; 10. Hammer pressure sensor; 11. Control cabinet; 12. Processor. DETAILED DESCRIPTION

[0036] 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 building steel structure strength detection device 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.

[0037] 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.

[0038] The specific scheme of the building steel structure strength detection device provided by the present invention is described in detail below with reference to the accompanying drawings.

[0039] like Figure 1 , 2 As shown in Figures 3 and 4, the box 1 is the main body of the device for detecting the strength of the building steel structure, and is mainly used to place other device structures for strength detection. In other embodiments, boxes 1 with other structures may be used, for example, the main structure of a strength detection device for building steel structure disclosed in CN220729893U may be used.

[0040] The hammer hydraulic rod 3 fixed on the box body 1 is connected to the pressure hammer 2, and the top of the hammer head of the pressure hammer 2 is equipped with a pressure sensor, which is denoted as the hammer pressure sensor 10. The clamping hydraulic rod 4 fixed on the box body 1 is used to clamp and fix the steel structure 5 to be tested.

[0041] There are a plurality of (e.g., 15) spring module bases 9 below the steel structure 5, and a plurality of (e.g., 9) springs 7 are fixed on each spring module base 9, and a spring array formed by the springs 7 on all the spring module bases 9 is located below the steel structure 5. In other embodiments, other numbers of spring module bases 9 may be provided or the number of springs 7 on the spring module base 9 may be set to other values.

[0042] It should also be noted that each spring module base 9 can be replaced, and the spring 7 can also be replaced with a spring of other elastic coefficients. For example, a spring with a larger elastic coefficient can be used for some steel structural members 5 with obvious defects or stress concentration areas. For some steel structural members 5 that are easily deformed (they can be deformed without the hammer hydraulic rod 3 outputting a lot of pressure), a spring with a smaller elastic coefficient can be used.

[0043] A pressure sensor is installed under each spring 7, which is denoted as a spring pressure sensor 8. An electric push rod 6 is installed under each spring module base 9; the electric push rod 6 can push the spring module base 9 to move up and down.

[0044] In addition, a processor 12 is installed on the control cabinet 11 for collecting data (ie, pressure values) output by the pressure sensor, including the pressure output by the spring pressure sensor 8 and the hammer pressure sensor 10 , and controlling the hammer hydraulic rod 3 and the electric push rod 6 .

[0045] The working principle is: first, control the electric push rod 6 so that all springs 7 contact the lower surface of the steel structure 5, and the spring 7 does not produce elastic deformation (that is, the output data value of all spring pressure sensors 8 is 0); when the lower surface of the steel structure 5 is uneven, make the spring 7 on the lower surface of the last steel structure 5 that contacts not produce elastic deformation.

[0046] Then, the hammer hydraulic rod 3 is started, and the hammer hydraulic rod 3 pushes the pressure hammer 2 to press against the steel structure 5, so that the steel structure 5 is deformed, and the springs 7 at different positions are deformed to different degrees.

[0047] When the hammer hydraulic rod 3 is started and each spring 7 is deformed under the push of the steel structure 5, the average value of the pressure output by the spring pressure sensor 8 under all the springs 7 on each spring module base 9 is obtained. When the average value is greater than or equal to the preset threshold value, the electric push rod 6 is controlled to move the spring module base 9 so that the average value of the pressure output by the spring pressure sensors 8 under all the springs 7 thereon remains constant.

[0048] As a feasible method to achieve a constant mean value, the method is as follows: obtain the mean value of the pressure of the spring 7 on the spring module base 9 in real time, calculate the difference between the mean value and a preset threshold value, calculate the ratio L of the difference to the mean value of the elastic coefficient of the spring 7 on the spring module base 9, where L represents the deformation of the spring 7 on the spring module base 9, and then control the electric push rod 6 under the spring module base 9 to change its length to L (when L is greater than 0, the electric push rod 6 controls the spring module base 9 to move downward, and when L is less than or equal to 0, it moves upward).

[0049] Furthermore, the deformation amount of the steel structure at each location of the spring 7 is obtained according to the output pressure of the spring pressure sensor 8 under the spring 7 and the length of the electric push rod 6 below the spring module base 9 where the spring 7 is located.

[0050] At each moment, the steel structure deformation amount at the position of each spring 7 in the spring array is referred to as the steel structure deformation amount at each position at each moment. The abnormal deformation position is obtained according to the steel structure deformation amount of all positions at different moments and the pressure output by the hammer pressure sensor 10. The pressure output by the hammer hydraulic rod 3 is controlled according to the abnormal deformation position and the length of the electric push rod 6 under the spring module base 9 at the abnormal deformation position is changed.

[0051] The abnormal deformation positions indicate the positions where abnormal deformation occurs due to the inherent defects, damage or stress concentration points of the steel structure 5. These positions will cause the resultant force between the hammer hydraulic rod 3 and the steel structure 5 to change suddenly. For example, the steel structure 5 suddenly deforms greatly or breaks, causing the downward impact force of the hammer hydraulic rod 3 to suddenly increase. At this time, on the one hand, the strength detection process cannot be continued, and on the other hand, the hammer hydraulic rod 3 has no time to release pressure, affecting the operation of the equipment and even causing safety accidents.

[0052] In this embodiment, when the abnormal deformation position is obtained before the steel structure 5 suddenly produces a large deformation or fracture, further, on the one hand, by controlling the pressure output by the hammer hydraulic rod 3, the impact problem caused by the hammer hydraulic rod 3 not being able to release the pressure in time at the next moment is avoided. On the other hand, by controlling the length of the electric push rod 6 to press the spring 7 toward the steel structure 5, the situation that a part of the steel structure 5 suddenly produces a large deformation or premature fracture due to unreasonable force at different positions is offset or alleviated. It can ensure that the strength detection process can continue so as to obtain the deformation of other parts, and can also release part of the pressure in time when the steel structure 5 suddenly produces a large deformation or fracture, avoiding the situation of pressure instability. Finally, the safety and efficiency of the strength detection of the building steel structure are guaranteed.

[0053] In addition, in the above process: when the mean value is greater than or equal to the preset threshold value, the electric push rod 6 is controlled to move the spring module base 9 so that the mean value of the data output by the spring pressure sensor 8 under all the springs 7 thereon remains constant, and the purpose is to ensure that the upward support force applied by the spring 7 to the steel structure 5 is unchanged as a whole, and will not interfere with the normal strength detection of the building steel structure; on the other hand, the preset threshold value is much smaller than the pressure output by the hammer head pressure sensor 10. In this embodiment, the preset threshold value is set to: 1% of the pressure when the pressure hammer 2 first contacts the steel structure 5. In general, by controlling the electric push rod 6, the spring 7 can prevent interference with the strength detection process of the steel structure 5. In other embodiments, the preset threshold value can be set to other values, even if the 1% of this embodiment is replaced by 90%, it is also possible, but at this time the spring 7 has a larger support force on the steel structure 5, so that the subsequent pressure hammer 2 needs to apply a greater pressure to make the steel structure 5 continue to deform, but because the support force is unchanged as a whole, it will not affect the strength detection process too much. This embodiment does not limit the value of the preset threshold value, and only needs to ensure that the spring 7 can be deformed elastically normally.

[0054] In addition, another purpose of using the spring module base 9, the electric push rod 6, and the spring 7 in this embodiment is to obtain the deformation amount of each position of the steel structure 5.

[0055] As an example, the deformation amount of the steel structure at the position of each spring 7 is obtained according to the output pressure of the spring pressure sensor 8 under the spring 7 and the length of the electric push rod 6 under the spring module base 9 where the spring 7 is located, including the steps of:

[0056] In this embodiment, the elastic coefficient of the spring 7 at each position is known. Therefore, the deformation of the spring 7 at each position is obtained according to the output pressure of the spring pressure sensor 8 and the elastic coefficient. The deformation of the spring 7 at each position plus the changed length of the electric push rod can be obtained to obtain the deformation of the steel structure at each position where the spring 7 is located.

[0057] Conventional methods for obtaining the deformation of steel structures include using binocular vision or infrared rangefinders to obtain the deformation, but the sensors used in these methods are easily broken or damaged by splashed metal debris. The spring module base 9, electric push rod 6, and spring 7 used in this embodiment do not have this problem. At the same time, it can avoid the splashing of broken or generated metal fragments, and it is also convenient to remove the metal fragments (just let the electric push rod 6 push out the metal fragments). At the same time, the whole composed of the spring module base 9, electric push rod 6, and spring 7 can avoid the pressure instability caused by the lack of time to release the pressure and the pressure instability caused by the inherent defects or damage of the steel structure or the stress concentration point to a certain extent.

[0058] As an optional example, the abnormal deformation position is obtained according to the deformation amount of the steel structure at all positions at different times and the pressure data output by the hammer pressure sensor 10, including the following method:

[0059] For all moments from when the hammer hydraulic rod 3 is activated and each spring 7 is deformed under the pressure of the steel structure 5 until the current time;

[0060] The deformation of the steel structure at each position at each moment is taken as a sample, and the pressure output by the hammer pressure sensor 10 at each moment is taken as the label of the sample. A model is fitted or trained using the samples and labels of each position at all moments (that is, a model is trained for each position). The deformation of the steel structure at each position at the current moment is input into the model, and the output is the predicted pressure of the hammer pressure sensor 10 (that is, the predicted pressure at each position). When the absolute value of the difference between the predicted pressure and the pressure output by the hammer pressure sensor 10 at the current moment is greater than 20% of the pressure output by the hammer pressure sensor 10, each position is recorded as an abnormal deformation position, indicating that these abnormal deformation positions have produced abnormal deformation at the current moment, and the hammer hydraulic rod 3 and the electric push rod 6 need to be regulated to avoid the pressure instability caused by the lack of time to release the pressure when suddenly deformed or damaged, or even to alleviate the occurrence of sudden deformation or damage, so that the strength detection process can continue.

[0061] The model used in this embodiment is a polynomial model (quintic polynomial model). In other embodiments, other models may be used, such as a Gaussian mixture model, or a Kalman filter algorithm may be used to obtain the predicted pressure.

[0062] As a preferred example, the abnormal deformation position is obtained according to the deformation amount of the steel structure at all positions at different times and the pressure data output by the hammer pressure sensor 10, including the following method:

[0063] This embodiment takes into account that the deformation of each position of the steel structure 5 is determined by the specific physical properties of the steel structure 5, and this physical property cannot be simply described by the difference between the predicted pressure and the actual output pressure. The reason is that on the one hand, the actual output pressure (that is, the pressure output by the hammer pressure sensor 10) is only the observed value of the steel structure 5, and there is noise interference, such as interference caused by equipment vibration and unstable operation of the hammer hydraulic rod 3. On the other hand, more importantly, the physical properties of different positions in the steel structure 5 are different, such as different stress distribution and defect distribution. This difference is also regarded as a noise generated by the manufacturing process. Therefore, it is necessary to perform secondary filtering on the hammer pressure data sequence to obtain the abnormal deformation position.

[0064] For all the moments from when the hammer hydraulic rod 3 is started and each spring 7 is deformed under the pressure of the steel structure 5 until the current time, the pressure data output by the hammer pressure sensor 10 at all the moments is recorded as a hammer pressure data sequence, and the pressure data output by each spring 7 is recorded as each spring pressure data sequence;

[0065] The difference between the maximum and minimum values ​​of each spring pressure data sequence is taken as the noise interference amount. The noise interference amounts of all springs 7 are averaged to obtain a comprehensive noise interference amount, and the hammer pressure data sequence is subtracted from the comprehensive noise interference amount to obtain a filtered hammer pressure data sequence.

[0066] In other embodiments, the elements in each spring pressure data sequence may be respectively subtracted from the mean of the sequence and then the absolute value may be calculated, and then the mean of the absolute values ​​of all elements may be used as the noise interference amount.

[0067] The Kalman filter method is used to filter the deformation of the steel structure at all times at each position and the filtered hammer pressure data sequence, and the state matrix obtained by the Kalman filter method is used as the steel structure feature at each position;

[0068] The mean of the Euclidean distances between the steel structure characteristics of each position and the steel structure strengths of all positions within a preset neighborhood range is obtained, and recorded as the steel structure strength difference of each position. The preset neighborhood range of this embodiment refers to the range consisting of the 8 other positions closest to each position. Other neighborhood ranges may be set in other embodiments.

[0069] The LOF anomaly detection algorithm is used to obtain the abnormal steel structure strength difference from the steel structure strength difference at all positions, and the position corresponding to the abnormal steel structure strength difference is recorded as the abnormal position. The local outlier factor of each abnormal position obtained by the LOF anomaly detection algorithm is used as the abnormal degree of the abnormal position.

[0070] When obtaining the abnormal position as mentioned above, the steel structure characteristics of each position are used to describe the physical properties of the steel structure 5 at different positions from a deeper level, rather than only describing its physical properties from the observation value (that is, the pressure output by the hammer pressure sensor 10), thereby ensuring the reliability of obtaining the abnormal position.

[0071] In other embodiments, the deformation of the steel structure at all times in each position and the filtered hammer pressure data sequence can be fitted into a curve model (for example, a quintic polynomial curve), and the parameters of the curve model are used as the steel structure characteristics of each position, or the above-mentioned curve model is replaced by a fully connected neural network with more parameters (for example, a fully connected neural network with 3 layers of training), and the trained parameters are used as the steel structure characteristics of each position. It should be noted that the state matrix or the parameters of the neural network in the above process need to be arranged and spliced ​​into a one-dimensional vector before they can be used as the steel structure characteristics of each position. Kalman filtering, fitting into a curve model and a fully connected neural network are well-known technologies, and this embodiment will not be described in detail.

[0072] As a preferred example, the pressure output by the hammer hydraulic rod 3 is controlled according to the abnormal deformation position and the length of the electric push rod 6 below the spring module base 9 at the abnormal deformation position is changed, including:

[0073] The absolute value of the difference between the predicted pressure of the abnormal deformation position and the pressure output by the hammer pressure sensor 10 at the current moment is obtained, and the ratio of the absolute value to the pressure output by the hammer pressure sensor 10 at the current moment is recorded as the abnormal degree of the abnormal deformation position. When the abnormal degree is greater than the first preset threshold th1, the pressure output by the hammer hydraulic rod 3 at the next moment of the current moment is reduced by 5%, and at the same time, the spring module base 9 where the abnormal deformation position is located is pushed upward, so that the average value of the pressure output by the spring pressure sensor 8 under all the springs 7 on the spring module base 9 increases by 10%.

[0074] In this embodiment, th1=0.4 is used as an example for description. In other embodiments, it can be set to other values. Similarly, the above 5% and 10% can be replaced by other values. This embodiment does not specifically limit this.

[0075] As an optional example, controlling the pressure output by the hammer hydraulic rod 3 according to the abnormal deformation position and changing the length of the electric push rod 6 below the spring module base 9 at the abnormal deformation position includes:

[0076] The output pressure of the hammer hydraulic rod 3 is reduced by 0% (ie, the hammer hydraulic rod 3 is not adjusted), and only the spring module base 9 at the abnormal deformation position is pushed upward.

[0077] In other embodiments, only the output pressure of the hammer hydraulic rod 3 is reduced, but the length of the electric push rod 6 is always kept to keep the average value of the output pressure of the spring 7 on the spring module base 9 constant.

[0078] Furthermore, the pressure hammer 2 at the current moment continues to press toward the steel structure 5 at the next moment, and repeats the above process at the next moment (the next moment is taken as the current moment): the deformation amount of the steel structure at each spring 7 is obtained according to the output pressure of the spring pressure sensor 8 under the spring 7 and the length of the electric push rod 6 under the spring module base 9 where the spring 7 is located; at each moment, the deformation amount of the steel structure at the position of all springs 7 in the spring array is recorded as the deformation distribution of all positions at each moment, and the abnormal deformation position is obtained according to the difference in deformation distribution of all positions at different moments and the pressure data output by the hammer head pressure sensor 10, and the pressure output by the hammer head hydraulic rod 3 is controlled according to the abnormal deformation position and the length of the electric push rod 6 under the spring module base 9 at the abnormal deformation position is changed.

[0079] By analogy, by controlling the hammer hydraulic rod 3 and the electric push rod 6, the pressure of the hammer hydraulic rod 3 is appropriately released whenever an abnormal position occurs. At the same time, the electric push rod 6 is used to offset the effects of sudden deformation or fracture caused by part of the defects, damage or stress concentration, and the stability of the hammer hydraulic rod 3 is maintained as much as possible to avoid instability due to sudden deformation or fracture, thereby ensuring that the strength detection process can continue.

[0080] It should be noted that, when the pressure output by the hammer hydraulic rod 3 is insufficient to continue to deform the steel structure 5, the pressure output by the hammer hydraulic rod 3 may be increased by a certain value, for example, by 3%.

[0081] In some other embodiments, when the degree of abnormality is greater than a second preset threshold value th2 (for example, th2=0.6), it indicates that the steel structure 5 is about to break. At this time, the pressure output by the hammer hydraulic rod 3 can be further reduced (for example, reduced by 30%), or the length of the electric push rod 6 can be controlled to increase the average value of the data output by the spring pressure sensor 8 by 50%.

[0082] When the steel structure 5 is broken, the pressure value output by the hammer pressure sensor 10 instantly becomes 0. At this time, all the pressure of the hammer hydraulic rod 3 is released to complete the strength detection process. The deformation of the steel structure 5 at each moment in the strength detection process and the pressure exerted on the steel structure 5 under the pressure hammer 2 at each moment (the pressure output by the spring 7 under the pressure hammer 2 needs to be subtracted) are stored or sent out for performance analysis of the steel structure 5. For example, when the maximum pressure exerted on the steel structure 5 is less than the set standard pressure (for example, 300 MPa), the steel structures 5 of the same batch are judged to be unqualified.

[0083] Since the data processing and analysis method after the intensity detection is not the content of all embodiments of the present invention, it will not be described in detail.

[0084] It should be noted that the above steps are all implemented when the computer program in the processor 12 is executed again, and the control of the above hammer hydraulic rod 3 and the electric push rod 6 are all implemented using the PID control algorithm. The PID control algorithm is a well-known technology and will not be described in detail in this embodiment.

[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A building steel structure strength testing device, comprising a housing (1), a pressure hammer (2), a hammer head hydraulic rod (3) connected to the pressure hammer (2), a steel structure member (5) to be tested, and a clamping hydraulic rod (4) for fixing the steel structure member (5), characterized in that: A plurality of spring module bases (9) are provided below the steel structure (5), a plurality of springs (7) are fixed on each spring module base (9), a spring array formed by the springs (7) on all the spring module bases (9) is located below the steel structure (5), a spring pressure sensor (8) is installed below each spring (7), and an electric push rod (6) is installed below each spring module base (9); a hammer head pressure sensor (10) is installed on the hammer head portion of the pressure hammer (2), a processor (12) is installed in a control cabinet (11) on the box body (1), and the processor (12) is installed to collect the pressure output by the hammer head pressure sensor (10) and the spring pressure sensor (8), and to control the hammer head hydraulic rod (3) and the electric push rod (6); The hammer head hydraulic rod (3) is started to push the pressure hammer (2) toward the steel structure (5), and the steel structure (5) applies pressure to the springs (7) in the spring array when deformed. When the average pressure of all springs (7) on each spring module base (9) is greater than or equal to a preset threshold value, the spring module base (9) is displaced by controlling the length of the electric push rod (6), so that the average value of the output pressure of the spring pressure sensor (8) on the spring module base (9) remains constant; The steel structure deformation amount at the position where each spring (7) is located is obtained based on the output pressure of the spring pressure sensor (8) under the spring (7) and the length of the electric push rod (6) under the spring module base (9) where the spring (7) is located; at each moment, the steel structure deformation amount at the position where each spring (7) in the spring array is located is referred to as the steel structure deformation amount at each position at each moment, and the abnormal deformation position is obtained based on the steel structure deformation amounts at all positions at different moments and the pressure output by the hammer pressure sensor (10), and the pressure output by the hammer hydraulic rod (3) is reduced based on the abnormal deformation position and the length of the electric push rod (6) under the spring module base (9) at the abnormal deformation position is increased.

2. A building steel structure strength detection device according to claim 1, characterized in that: The spring module base (9) and the spring (7) are both replaceable, and the spring (7) is replaced with a spring with a different elastic coefficient.

3. A building steel structure strength detection device according to claim 1, characterized in that: Each spring module base (9) can move up and down when the length of the electric push rod (6) is changed.

4. A building steel structure strength detection device according to claim 1, characterized in that: The method of obtaining the abnormal deformation position according to the deformation amounts of the steel structure at all positions at different times and the pressure output by the hammer pressure sensor (10) comprises the following specific steps: For all moments from when the hammer hydraulic rod (3) is activated and each spring (7) is deformed under the pressure of the steel structure (5) until the current time, the pressure output by the hammer pressure sensor (10) at all moments is recorded as a hammer pressure data sequence, and the pressure output by each spring pressure sensor (8) is recorded as each spring pressure data sequence; Obtain the noise interference amount of each spring pressure data sequence, calculate the average of the noise interference amounts corresponding to all springs (7), obtain a comprehensive noise interference amount, and subtract the comprehensive noise interference amount from the hammer pressure data sequence to obtain a filtered hammer pressure data sequence; The abnormal deformation position is obtained according to the filtered hammer pressure data sequence.

5. A building steel structure strength detection device according to claim 4, characterized in that: The specific steps of obtaining the abnormal deformation position according to the filtered hammer pressure data sequence are as follows: The Kalman filter method is used to filter the deformation of the steel structure at all times at each position and the filtered hammer pressure data sequence, and the state matrix obtained by the Kalman filter method is used as the steel structure feature at each position; Obtain the difference in steel structure characteristics between each position and the adjacent positions, and record it as the steel structure strength difference at each position; The LOF anomaly detection algorithm is used to obtain the abnormal steel structure strength difference from the steel structure strength differences at all positions, and the position corresponding to the abnormal steel structure strength difference is recorded as the abnormal deformation position.

6. A building steel structure strength detection device according to claim 4, characterized in that: The specific steps of obtaining the noise interference amount of each spring pressure data sequence are as follows: The difference between the maximum and minimum values ​​of each spring pressure data sequence is taken as the noise interference.

7. A building steel structure strength detection device according to claim 5, characterized in that: The specific steps for obtaining the steel structure strength difference at each position are: taking the mean of the Euclidean distances between the steel structure characteristics at each position and the steel structure strengths of all positions within a preset neighborhood as the steel structure strength difference at each position.

8. A building steel structure strength detection device according to claim 5, characterized in that: The method of reducing the pressure output by the hammer hydraulic rod (3) according to the abnormal deformation position and increasing the length of the electric push rod (6) below the spring module base (9) at the abnormal deformation position includes the following specific steps: The LOF anomaly detection algorithm is used to obtain the local outlier factor of each abnormal deformation position, which is recorded as the degree of abnormality of each abnormal deformation position; When there is an abnormal deformation position with an abnormal degree greater than a first preset threshold, the pressure output by the hammer hydraulic rod (3) at the next moment of the current moment is reduced by a preset percentage, and at the same time, the electric push rod (6) below the spring module base (9) where the abnormal deformation position with an abnormal degree greater than the first preset threshold is located is extended, so that the average value of the pressure output by the spring pressure sensors (8) under all the springs (7) on the spring module base (9) increases by a preset percentage.

9. A building steel structure strength detection device according to claim 1, characterized in that: The method of obtaining the deformation amount of the steel structure at the location of each spring (7) according to the output pressure of the spring pressure sensor (8) under the spring (7) and the length of the electric push rod (6) below the spring module base (9) where the spring (7) is located includes the following specific steps: The deformation amount of the spring (7) at each position is obtained according to the output pressure of the spring pressure sensor (8) and the elastic coefficient of each spring (7), and the deformation amount of the spring (7) at each position plus the changed length of the electric push rod (6) is used to obtain the deformation amount of the steel structure at the position where each spring is located.

10. A building steel structure strength detection device according to any one of claims 4 to 9, characterized in that: When the computer program in the processor (12) is executed, the steps of detecting by the building steel structure strength detection device as described in any one of claims 4 to 9 are implemented.

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