A multi-source data fusion analysis system for bearing capacity of an engineering construction foundation

Abstract

The application relates to the technical field of data processing, in particular to a multi-source data fusion analysis system for bearing capacity of an engineering construction foundation, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, and the processor realizes the following steps when executing the computer program: in all historical test positions, at least two target historical positions similar to the soil state of a target foundation are acquired, a first influence relationship curve between the environmental temperature and the settlement under each level of load test and a second influence relationship curve between the environmental humidity and the settlement are constructed, the temperature influence degree and the humidity influence degree of any test position of the target foundation are obtained, the bearing capacity test value of any test position is corrected, the average value of the bearing capacity correction values of all test positions of the target foundation is taken as the final foundation bearing capacity of the target foundation, and the accuracy of the bearing capacity test result is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a multi-source data fusion analysis system for engineering construction foundation bearing capacity. BACKGROUND

[0002] The engineering construction foundation bearing capacity refers to the maximum unit area pressure that the foundation soil can bear under the condition of meeting certain settlement control, reflecting the ability of the foundation to safely support the load applied by the upper structure. The evaluation of the foundation bearing capacity before construction is related to the safety, stability and service life of the entire engineering structure, therefore, the accuracy of the evaluation result of the foundation bearing capacity is crucial in the entire engineering implementation process.

[0003] The load test is a common test method for evaluating the foundation bearing capacity, the main principle of which is to apply a staged load on a rigid load plate, record the corresponding settlement, draw a settlement-load curve, and infer the foundation bearing capacity and compression characteristics according to the curve characteristics. However, because the soil properties are sensitive to environmental temperature and humidity, the bearing capacity result obtained by the load test is greatly affected by the environmental temperature and humidity during the test, resulting in errors between the foundation bearing capacity during the test and the real bearing capacity of the soil.

[0004] Therefore, how to reduce the influence of the environmental temperature and humidity during the test and improve the test accuracy of the foundation bearing capacity becomes a problem to be solved. SUMMARY

[0005] Therefore, the embodiment of the present application provides a multi-source data fusion analysis system for engineering construction foundation bearing capacity to solve the problem of how to reduce the influence of the environmental temperature and humidity during the test and improve the test accuracy of the foundation bearing capacity.

[0006] The embodiment of the present application provides a multi-source data fusion analysis system for engineering construction foundation bearing capacity, comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the following steps when executing the computer program:

[0007] Obtain foundation bearing capacity test data of a preset number of historical test positions, wherein the foundation bearing capacity test data comprises a bearing capacity test value, settlement under each load test, environmental temperature and environmental humidity, particle size distribution curve and soil plasticity index;

[0008] Obtaining the foundation bearing capacity test data of at least one test position of the target foundation, obtaining at least two target historical positions similar to the soil state of the target foundation in all historical test positions according to the difference between the foundation bearing capacity test data of each test position and each historical test position, and constructing the first influence relationship curve between the ambient temperature and the settlement amount and the second influence relationship curve between the ambient humidity and the settlement amount under each level of load test according to the foundation bearing capacity test data of all target historical positions;

[0009] For any test position of the target foundation, the temperature influence degree and the humidity influence degree of the any test position are obtained according to the foundation bearing capacity test data of the any test position and in combination with the first influence relationship curve and the second influence relationship curve, and the bearing capacity test value of the any test position is corrected by using the temperature influence degree and the humidity influence degree of the any test position to obtain a bearing capacity correction value.

[0010] The average of the bearing capacity correction values of all test positions of the target foundation is taken as the final foundation bearing capacity of the target foundation.

[0011] Compared with the prior art, the beneficial effects of the embodiment of the present application are as follows:

[0012] On the basis of obtaining the bearing capacity prediction value of the foundation in the load test, the present application analyzes the influence of the ambient temperature and the ambient humidity on the bearing capacity of different types of soil respectively through the historical load test, constructs the first influence relationship curve between the ambient temperature and the settlement amount and the second influence relationship curve between the ambient humidity and the settlement amount under each level of load test, and then obtains the temperature influence degree and the humidity influence degree for representing the daily temperature and humidity influence of any test position of the target foundation according to the first influence relationship curve and the second influence relationship curve, and further corrects the test result to reduce the influence of the change of the ambient temperature and humidity on the bearing capacity result during the test, and improves the accuracy of the analysis result of the foundation bearing capacity. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative labor.

[0014] Figure 1 is a method flow chart of a multi-source data fusion analysis method for the foundation bearing capacity of engineering construction provided by the first embodiment of the present application;

[0015] Figure 2A schematic diagram of a particle size distribution curve is provided by an embodiment of the present application. DETAILED DESCRIPTION

[0016] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. The embodiments described below by reference to the drawings are exemplary and are intended to explain the present disclosure, and are not to be understood as limiting the present disclosure.

[0017] It should be noted that the terms "first", "second", and the like in the specification of the present disclosure and the above drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented in an order other than that illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices and methods consistent with some aspects of the present disclosure.

[0018] In order to illustrate the technical solutions of the present application, specific embodiments are described below.

[0019] The specific scenario to which the present application is directed is that when testing the bearing capacity of the foundation of a construction project, the properties of the soil are greatly affected by the temperature and humidity of the environment, resulting in a large error in the test obtained bearing capacity of the foundation, which cannot accurately reflect the true bearing capacity of the foundation during long-term use.

[0020] An embodiment of the present application provides a multi-source data fusion analysis system for the bearing capacity of the foundation of a construction project, comprising a processor and a memory, wherein the processor executes a computer program stored in the memory to realize a multi-source data fusion analysis method for the bearing capacity of the foundation of a construction project, as shown in Figure 1 The multi-source data fusion analysis method for the bearing capacity of the foundation of a construction project comprises the following steps:

[0021] Step S101, obtaining the bearing capacity test data of the foundation at a preset number of historical test positions.

[0022] In the prior art, the bearing capacity test value is obtained by using a load test, and the main process is as follows: (1) installing a settlement measuring device at a flat ground position under a column, under a wall, etc. The representative position is usually determined according to the size of the building, and the present embodiment provides that three positions are selected for load testing, and the distance between the test positions is about 30m. (2) Load is loaded in stages, and the load of each stage is (The commonly used load per level is 10 kPa), each load test is held for 40 min, and the settlement is recorded every 5 min. (3) If the settlement rate of a certain level is greater than 0.1 mm / 10 min, the loading is stopped. When the settlement rate no longer decreases, or when the load-settlement curve changes significantly, it is considered that the ultimate state of the foundation load has been reached. (4) After the ultimate load is reached, the unloading is carried out in stages, and the unloading process is the same as the loading process. (5) Based on the load data and settlement data recorded during the test, the load-settlement curve is plotted, where the settlement change point in the load-settlement curve is the ultimate load. Calculate the absolute value of the difference in the tangent slope of the data points before and after each data point in the load-settlement curve. The point with the largest absolute value of the tangent slope difference is the settlement change point, and the corresponding load is recorded as the final loading load. (6) The formula for calculating the bearing capacity test value is:

[0023]

[0024] in, This represents the load-bearing capacity test value. Indicates the final load pressure. This indicates the area of ​​the pressure plate (the pressure plate can be a steel plate with a diameter of 250mm, 300mm, or 600mm; the specific size is selected according to the test requirements).

[0025] Since this invention requires analyzing the influence of environmental temperature and humidity on soil bearing capacity, temperature and humidity data are measured at the test location using a digital thermometer and hygrometer before the load test and after each load test level once the settlement has stabilized. Specifically, after the initial record before the load test, data is recorded every 40 minutes. Then, for any load test level, the average value of the temperature and humidity data recorded before and after the start and end of that load test level are recorded as the ambient temperature T and ambient humidity W for that load test level, respectively. The increase in settlement at the end of the load test relative to the start is calculated and recorded as the settlement under that load test level. .

[0026] Furthermore, because different types of soil have significantly different properties, it is necessary to obtain the soil particle size distribution at the test location using the sedimentation method before conducting the experimental analysis, and plot the distribution as shown below. Figure 2 The particle size distribution curve is shown. Simultaneously, the soil plasticity index was obtained using the Ateburg boundary test. This index is used to reflect the soil type of the foundation at the test location based on the particle size distribution curve and the soil plasticity index. The plotting of the particle size distribution curve and the acquisition of the soil plasticity index are existing technologies and will not be elaborated upon here.

[0027] Since the ranges of different types of data are different, direct analysis has a greater impact on the accuracy of the results, so the obtained test data is normalized, specifically: the environmental temperature, the environmental humidity, and the settlement are normalized, and the environmental temperature, the environmental humidity, and the settlement used below are also normalized data. Therefore, the bearing capacity test value needs to be used to finally obtain the accurate bearing capacity result, so it is not normalized. The bearing capacity test value obtained by the load test of each test position, the settlement, the environmental temperature, and the environmental humidity under each level of load test, the particle size distribution curve, and the soil plasticity index form the foundation bearing capacity test data of the corresponding test position.

[0028] Since the environment is greatly different in places far apart from each other, the reference is low, therefore, for the foundation to be analyzed, 100 foundation bearing capacity test data of historical test positions in the province to which the foundation to be analyzed belongs are obtained as reference data, which are used to analyze the influence of the temperature and humidity of the environment on the soil bearing capacity result.

[0029] In step S102, the foundation bearing capacity test data of at least one test position of the target foundation is obtained, at least two target historical positions similar to the soil state of the target foundation are obtained in all historical test positions according to the difference in the foundation bearing capacity test data between each test position and each historical test position, and the first influence relationship curve between the environmental temperature and the settlement under each level of load test and the second influence relationship curve between the environmental humidity and the settlement are respectively constructed according to the foundation bearing capacity test data of all target historical positions.

[0030] The embodiment of the present application takes the foundation to be analyzed as the target foundation, and considers that different types of soil bearing capacity have great differences, so it is necessary to obtain historical data similar to the soil type of the target foundation (that is, the foundation bearing capacity test data of the historical test position) first, which can effectively reflect the relationship between the bearing capacity of the target foundation and the environmental temperature and humidity. Then, according to the method of step S101, the foundation bearing capacity test data of at least one test position of the target foundation is obtained. Then, at least two target historical positions similar to the soil state of the target foundation are obtained in all historical test positions according to the difference in the foundation bearing capacity test data between each test position and each historical test position, so as to determine the effective reference data.

[0031] The particle size composition reflects the proportion of different particle sizes in the soil. Different particle sizes can be divided into sandy soil, silt, clay and other types, and different particle sizes have different proportions in the soil, which will make the properties of the soil different, so the bearing capacity of the soil with similar particle size composition is also more similar. The soil plasticity index is mainly used for the division of fine-grained soil. It reflects the plastic deformation ability of the soil under different water contents, and affects the strength and stability of the soil body. If the soil plasticity index is too low, the soil will flow easily when it meets water, and the bearing capacity is poor. If the soil plasticity index is too high, the deformation degree of the soil under different water contents is large, which leads to large fluctuation of the bearing capacity and poor structural stability. Therefore, the soil plasticity index is also one of the key factors affecting the bearing capacity. Therefore, in the embodiment of the present application, the soil type similar to the target foundation is obtained according to the similarity of the particle size distribution curve and the soil plasticity index in the foundation bearing capacity test data between each test position and each historical test position.

[0032] Taking any historical test position as an example, first, the similarity of the particle size distribution curve of any historical test position and the particle size distribution curve of the target foundation is analyzed. Since the target foundation sets multiple test positions for load test, the similarity of the particle size distribution curve of any historical test position and the particle size distribution curve of each test position of the target foundation is calculated, and then any test position of the target foundation is taken as the position to be analyzed. According to the difference between the particle size distribution curve of the position to be analyzed and the particle size distribution curve of the historical test position, the soil particle size distribution similarity between the position to be analyzed and the historical test position is obtained.

[0033] Specifically, a first number of data points are uniformly selected from the particle size distribution curve of the position to be analyzed. According to the abscissa value of each data point, a data point corresponding to the same abscissa value is selected from the particle size distribution curve of the historical test position, which is denoted as a target point. The absolute value of the difference between the ordinate value of each data point and the target point under the same abscissa value is calculated to obtain the cumulative value of the absolute value. The reciprocal of the sum of the cumulative value and the constant 1 is taken as the soil particle size distribution similarity between the position to be analyzed and the historical test position.

[0034] In an embodiment, the first number is set to 20. The higher the evaluation accuracy of the similarity is, the larger the first number should be. Here, there is no limitation, which can be set according to the implementation scene. The calculation formula of the soil particle size distribution similarity between the position to be analyzed and the historical test position is:

[0035]

[0036] Wherein, The soil particle size distribution similarity between the A th test position of the target foundation and the u th historical test position. a vertical coordinate value of an i-th data point on a particle size distribution curve of a u-th test position, a vertical coordinate value of an i-th target point on a particle size distribution curve of a u-th test position, | | represents an absolute value symbol, and 1 represents a constant. a vertical coordinate value of an i-th data point on a particle size distribution curve of a u-th test position, | | represents an absolute value symbol, and 1 represents a constant.

[0037] It should be noted that, The smaller the value of is, the more consistent the amplitude of the particle size distribution curve between the u-th test position and the u-th historical test position is, and the greater the soil particle size distribution similarity is. The smaller the value of is, the more consistent the amplitude of the particle size distribution curve between the u-th test position and the u-th historical test position is, and the greater the soil particle size distribution similarity is. is used to ensure that the fraction is meaningful, and .

[0038] Further, on the basis of the similarity of the particle size distribution curve, the soil plasticity index difference between the to-be-analyzed position and the any historical test position is combined to analyze the foundation soil similarity between the to-be-analyzed position and the any historical test position. Specifically, an absolute value of the soil plasticity index difference between the to-be-analyzed position and the any historical test position is obtained, and a foundation soil similarity index between the to-be-analyzed position and the any historical test position is obtained according to the absolute value and the soil particle size distribution similarity.

[0039] wherein a calculation formula of the foundation soil similarity index between the to-be-analyzed position and the any historical test position is:

[0040]

[0041] wherein, represents a foundation soil similarity index between the u-th test position and the u-th historical test position of the target foundation, represents a normalization function, represents a soil particle size distribution similarity between the u-th test position and the u-th historical test position of the target foundation, represents a soil plasticity index of the u-th test position of the target foundation, represents a soil plasticity index of the u-th historical test position, | | represents an absolute value symbol, and 1 represents a constant.

[0042] It should be noted that, The smaller the value is, the closer the soil plasticity index between the A th test position and the u th historical test position is, the more similar the foundation soil is, and the greater the foundation soil similarity index between the target position and any historical test position is. For ensuring the fractional significance.

[0043] According to the above-mentioned method for obtaining the foundation soil similarity index between the A th test position and the u th historical test position of the target foundation, the foundation soil similarity index between each test position of the target foundation and any historical test position is obtained, and the average value of the foundation soil similarity index is obtained. The greater the average value of the foundation soil similarity index is, the more similar the soil properties of any historical test position and the target foundation are, and the more effective the reference data is. Therefore, if the average value of the foundation soil similarity index is greater than or equal to a preset foundation soil similarity index threshold value, it is considered that the soil condition of any historical test position is highly similar to the soil of the target foundation, that is, it can reflect the influence of temperature and humidity on the bearing capacity test results of the target foundation, and then the historical test position is taken as a target historical position. Similarly, each historical test position is traversed, and at least two target historical positions are obtained in the historical test positions.

[0044] After a plurality of target historical positions similar to the soil properties of the target foundation are screened, the influence relationship between the temperature and humidity of the environment and the bearing capacity test results can be analyzed according to the foundation bearing capacity test data of each target historical position. The environmental temperature mainly indirectly affects the bearing capacity of the soil by affecting the structure and freezing state of the soil, such as soil shrinkage, cracking and structure destruction under high temperature, resulting in a decrease in bearing capacity; and continuous low temperature can cause soil freezing and temporary structure strengthening. The environmental humidity mainly affects the water content of the soil, and then affects the bearing capacity of the soil, such as soil evaporation weakening and water absorption capacity enhancing in a high-humidity environment, resulting in an increase in soil water content and a decrease in strength, thereby causing a decrease in bearing capacity, and a low-humidity environment can initially show an increase in bearing capacity, but long-term low humidity can cause soil cracking and structure destruction. Therefore, according to the environmental humidity, the environmental temperature and the settlement amount of each target historical position under each level of load test, a first influence relationship curve between the environmental temperature and the settlement amount under each level of load test and a second influence relationship curve between the environmental humidity and the settlement amount are constructed respectively.

[0045] Taking the first influence relationship curve between the environmental temperature and the settlement amount as an example, the specific construction method is as follows:

[0046] Because the duration of the load test is long, the temperature data during the load test will also change, and the temperature difference in some places may change greatly. In order to avoid the influence of the combined action of the different load changes and temperature changes of the load test on the analysis of the influence relationship between temperature and bearing capacity, the load test is divided according to the level. Since the duration of each load test is the same, the analysis is carried out by taking any one load test as an example. Then, for any one load test, the environmental temperature and the settlement of all target historical positions under any one load test are obtained. Because the settlement may also be affected by humidity, there may be multiple settlements corresponding to the same environmental temperature. In order to obtain a more accurate influence relationship between temperature and settlement, the environmental humidity of the target historical position under any one load test should be analyzed as much as possible. For the target historical position with high similarity of environmental humidity to other target historical positions, the corresponding environmental temperature and settlement should occupy a larger proportion when constructing the first influence relationship curve between environmental temperature and settlement. Therefore, the environmental humidity of each target historical position under the said any one load test is composed of an environmental humidity set, and the humidity similarity between each environmental humidity in the environmental humidity set and other remaining environmental humidities is calculated.

[0047] For any one environmental humidity in the environmental humidity set, the absolute value of the difference between the any one environmental humidity and each environmental humidity in the environmental humidity set is calculated, denoted as humidity difference. The cumulative value of all humidity differences is normalized to obtain a normalized value. The difference between the constant 1 and the normalized value is denoted as the humidity similarity between the any one environmental humidity and other remaining environmental humidities.

[0048] wherein the calculation formula of the humidity similarity between any one environmental humidity and other remaining environmental humidities is:

[0049]

[0050] wherein, represents the humidity similarity between the vth environmental humidity in the environmental humidity set and other remaining environmental humidities, and 1 represents a constant, represents a normalization function, and N represents the number of environmental humidities in the environmental humidity set, represents the vth environmental humidity in the environmental humidity set, represents the ith environmental humidity in the environmental humidity set, and | | represents an absolute value symbol.

[0051] It should be noted that, The smaller the value of is, the smaller the humidity difference between the vth environmental humidity in the environmental humidity set and other remaining environmental humidities, and the higher the humidity similarity of the vth environmental humidity.

[0052] Similarly, the humidity similarity of each environment humidity in the environment humidity set is obtained, and is taken as the weight of the corresponding environment humidity of each target historical position under the load test at any stage, and then the settlement corresponding to the environment temperature of all target historical positions under the load test at any stage is weighted and summed according to the humidity similarity of each environment humidity in the environment humidity set, to obtain the settlement value of each environment temperature.

[0053] Specifically, the environment temperature of each target historical position under the load test at any stage is composed into an environment temperature set, for any environment temperature in the environment temperature set, at least one target historical position corresponding to the environment temperature is obtained, denoted as a target position, in the humidity similarity of each environment humidity in the environment humidity set, the humidity similarity corresponding to each target position is composed into a humidity similarity set, and the proportion of each humidity similarity in the humidity similarity set is calculated, denoted as the temperature influence weight of the corresponding target position.

[0054] The settlement of each target position under the load test at any stage is obtained, and the settlements of all target positions under the load test at any stage are weighted and summed based on the temperature influence weight of each target position, to obtain the settlement value of the any environment temperature.

[0055] The calculation formula of the settlement value of any environment temperature is:

[0056]

[0057] wherein, the settlement value of the environment temperature , the number of target positions corresponding to the environment temperature , the humidity similarity of the environment humidity of the jth target position corresponding to the environment temperature , the sum of the humidity similarity of the environment humidity of each target position corresponding to the environment temperature , and the settlement of the jth target position corresponding to the environment temperature .

[0058] Similarly, the settlement value of each environment temperature under the load test at any stage can be obtained, and then the first influence relationship curve between the environment temperature and the settlement under the load test at any stage is constructed by taking the environment temperature as the horizontal axis and the settlement value as the vertical axis by using the least square method. The least square method belongs to the prior art, and will not be described here.

[0059] ​​​​According to the humidity similarity acquisition method, the temperature similarity of each environment temperature under the any one level load test is acquired according to the environment temperature of each target historical position under the any one level load test, then according to the settlement value acquisition method of any one environment temperature, the settlement value corresponding to each environment humidity under the any one level load test is obtained, finally, the second influence relationship curve between the environment humidity and the settlement under the any one level load test is constructed by using the least square method with the environment humidity as the horizontal axis and the settlement value as the vertical axis.

[0060] At this point, the first influence relationship curve between the environment temperature and the settlement and the second influence relationship curve between the environment humidity and the settlement under the any one level load test are obtained, and the first influence relationship curve between the environment temperature and the settlement and the second influence relationship curve between the environment humidity and the settlement under each level load test are obtained respectively.

[0061] In step S103, for any test position of the target foundation, the temperature influence degree and the humidity influence degree of any test position are acquired according to the foundation bearing capacity test data of any test position and in combination with the first influence relationship curve and the second influence relationship curve; the bearing capacity test value of any test position is corrected by using the temperature influence degree and the humidity influence degree of any test position to obtain the bearing capacity correction value.

[0062] Since the curve slope in the first influence relationship curve between the environment temperature and the settlement under each level load test can represent the influence degree of temperature on the settlement, and the curve slope in the second influence relationship curve between the environment humidity and the settlement under each level load test can represent the influence degree of humidity on the settlement, that is, the influence degree on the soil bearing capacity, therefore, the temperature influence degree and the humidity influence degree of each test position of the target foundation are acquired respectively according to the corresponding influence degrees in the first influence relationship curve and the second influence relationship curve of each test position of the target foundation under each level load test.

[0063] Taking the temperature influence degree as an example, the data points corresponding to the environment temperature and the settlement of any test position under each level load test in the first influence relationship curve are acquired respectively, which are recorded as first analysis points, the tangent slope value of each first analysis point in the first influence relationship curve is acquired, and the mean value of all tangent slope values is calculated as the temperature influence degree of any test position.

[0064] The calculation formula of the temperature influence degree of any test position is:

[0065]

[0066] Wherein, a temperature influence degree of the A-th test position of the target foundation, m represents the number of load tests, a tangent slope value of a first to-be-analyzed point corresponding to the A-th test position in the first influence relationship curve under the r-th load test.

[0067] Similarly, the environmental humidity and the settlement amount of each load test of any test position are obtained as data points corresponding to the second to-be-analyzed point in the second influence relationship curve, and the tangent slope value of each second to-be-analyzed point in the second influence relationship curve is obtained, and the average of all tangent slope values is calculated as the humidity influence degree of any test position. .

[0068] Further, the bearing capacity test value of any test position is corrected by using the temperature influence degree and the humidity influence degree of any test position to obtain a bearing capacity correction value, including:

[0069] The sum of the constant 1, the temperature influence degree and the humidity influence degree of any test position is taken as a correction coefficient, and the product of the bearing capacity test value of any test position and the correction coefficient is taken as the bearing capacity correction value.

[0070] The calculation formula of the bearing capacity correction value is:

[0071]

[0072] wherein, the bearing capacity correction value of the A-th test position of the target foundation, that is, the corrected bearing capacity test value, the bearing capacity test value of the A-th test position of the target foundation, 1 represents a constant, the temperature influence degree of the A-th test position of the target foundation, the humidity influence degree of the A-th test position of the target foundation.

[0073] Similarly, the temperature influence degree and the humidity influence degree of each test position of the target foundation can be obtained, and then the bearing capacity test value of each test position is adaptively corrected by using the temperature influence degree and the humidity influence degree of each test position, and then the bearing capacity correction value of each test position of the target foundation is obtained.

[0074] Step S104: taking the average of the bearing capacity correction values of all test positions of the target foundation as the final foundation bearing capacity of the target foundation.

[0075] The above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalent features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. An engineering construction foundation bearing capacity multi-source data fusion analysis system, comprising a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that, The processor implements the following steps when executing the computer program: Obtaining ground bearing capacity test data of a preset number of historical test positions, wherein the ground bearing capacity test data includes a bearing capacity test value, a settlement amount under each load test, an environmental temperature and an environmental humidity, a particle size distribution curve, and a soil plasticity index; Obtaining ground bearing capacity test data of at least one test position of a target foundation, and obtaining at least two target historical positions similar to a soil state of the target foundation among all historical test positions according to a difference in ground bearing capacity test data between each test position and each historical test position; constructing a first influence relationship curve between an environmental temperature and a settlement amount and a second influence relationship curve between an environmental humidity and a settlement amount under each load test according to ground bearing capacity test data of all target historical positions; For any test position of the target foundation, obtaining a temperature influence degree and a humidity influence degree of the any test position according to ground bearing capacity test data of the any test position and in combination with the first influence relationship curve and the second influence relationship curve; correcting a bearing capacity test value of the any test position by using the temperature influence degree and the humidity influence degree of the any test position to obtain a bearing capacity correction value; Taking an average value of bearing capacity correction values of all test positions of the target foundation as a final ground bearing capacity of the target foundation; The constructing a first influence relationship curve between an environmental temperature and a settlement amount and a second influence relationship curve between an environmental humidity and a settlement amount under each load test according to ground bearing capacity test data of all target historical positions includes: For any load test, grouping environmental humidities of each target historical position under the any load test into an environmental humidity set, calculating a humidity similarity between each environmental humidity in the environmental humidity set and other remaining environmental humidities; performing weighted summation on all settlement amounts corresponding to environmental temperatures of all target historical positions under the any load test according to the humidity similarity of each environmental humidity in the environmental humidity set to obtain a settlement amount value of each environmental temperature; and taking the environmental temperature as a horizontal axis and the settlement amount value as a vertical axis, constructing the first influence relationship curve between the environmental temperature and the settlement amount under the any load test by using a least square method; Obtaining a temperature similarity of each environmental temperature under the any load test to obtain a settlement amount value corresponding to each environmental humidity under the any load test, taking the environmental humidity as a horizontal axis and the settlement amount value as a vertical axis, and constructing the second influence relationship curve between the environmental humidity and the settlement amount under the any load test by using a least square method.

2. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 1, characterized in that, The obtaining at least two target historical positions similar to a soil state of the target foundation among all historical test positions according to a difference in ground bearing capacity test data between each test position and each historical test position includes: For any historical test position, taking any test position of the target foundation as an analyzed position, obtaining a soil particle size distribution similarity between the analyzed position and the any historical test position according to a particle size distribution curve difference between the analyzed position and the any historical test position; Obtaining an absolute value of a soil plasticity index difference value between the analyzed position and the any historical test position, and obtaining a foundation soil similarity index between the analyzed position and the any historical test position according to the absolute value and the soil particle size distribution similarity; Obtaining a foundation soil similarity index between each test position of the target foundation and the any historical test position, obtaining a mean value of the foundation soil similarity index, and taking the any historical test position as a target historical position if the mean value of the foundation soil similarity index is greater than or equal to a preset foundation soil similarity index threshold.

3. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 2, characterized in that, The obtaining of the soil particle size distribution similarity between the analyzed position and the any historical test position according to the particle size distribution curve difference between the analyzed position and the any historical test position comprises: Uniformly selecting a first number of data points on a particle size distribution curve of the analyzed position, selecting data points corresponding to the same abscissa value on a particle size distribution curve of the any historical test position as target points according to the abscissa value of each data point, and obtaining an accumulated value of absolute values of difference values between the data points and the target points under the same abscissa value. The obtaining of the foundation soil similarity index between the analyzed position and the any historical test position according to the absolute value and the soil particle size distribution similarity comprises:

4. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 2, characterized in that, Calculating a reciprocal of a sum of the absolute value and a constant 1 as a soil plasticity similarity between the analyzed position and the any historical test position, and performing normalization processing on a sum of the soil particle size distribution similarity and the soil plasticity similarity to obtain the foundation soil similarity index between the analyzed position and the any historical test position. The calculation of the humidity similarity between each humidity in the set of environmental humidities and other remaining humidities comprises:

5. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 1, characterized in that, For any humidity in the set of environmental humidities, calculating absolute values of difference values between the any humidity and each humidity in the set of environmental humidities respectively, recording the absolute values as humidity difference values, performing normalization on an accumulated value of all the humidity difference values to obtain a normalized value, and recording a difference value between a constant 1 and the normalized value as the humidity similarity between the any humidity and other remaining humidities. The weighted summation of all the settlement amounts corresponding to all the environmental temperatures of the any target historical position under the any load test according to the humidity similarity of each humidity in the set of environmental humidities comprises:

6. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 1, characterized in that, ​ The ambient temperature set of each target historical position under the any level load test is obtained, for any ambient temperature in the ambient temperature set, the at least one target historical position corresponding to the any ambient temperature is obtained, which is recorded as a target position, in the humidity similarity of each ambient humidity in the ambient humidity set, the humidity similarity corresponding to each target position is obtained to form a humidity similarity set, and the proportion of each humidity similarity in the humidity similarity set is calculated, which is recorded as the temperature influence weight of the corresponding target position; The settlement amount of each target position under the any level load test is obtained, and the settlement amounts of all target positions under the any level load test are weighted and summed based on the temperature influence weight of each target position to obtain the settlement amount value of the any ambient temperature.

7. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 1, characterized in that, The temperature influence degree and the humidity influence degree of the any test position are obtained according to the foundation bearing capacity test data of the any test position and in combination with the first influence relationship curve and the second influence relationship curve, and the method comprises the steps of: The data points corresponding to the ambient temperature and the settlement amount of each level load test of the any test position in the first influence relationship curve are obtained respectively, which are recorded as first analysis points, the tangent slope values of each first analysis point in the first influence relationship curve are obtained, and the average value of all tangent slope values is calculated as the temperature influence degree of the any test position.

8. The multi-source data fusion analysis system for bearing capacity of engineering construction foundation according to claim 7, characterized in that, The temperature influence degree and the humidity influence degree of the any test position are obtained according to the foundation bearing capacity test data of the any test position and in combination with the first influence relationship curve and the second influence relationship curve, and the method comprises the steps of: The data points corresponding to the ambient humidity and the settlement amount of each level load test of the any test position in the second influence relationship curve are obtained respectively, which are recorded as second analysis points, the tangent slope values of each second analysis point in the second influence relationship curve are obtained, and the average value of all tangent slope values is calculated as the humidity influence degree of the any test position.

9. The system according to claim 1, wherein, The bearing capacity test value of the any test position is corrected by using the temperature influence degree and the humidity influence degree of the any test position to obtain a bearing capacity correction value, and the method comprises the steps of: The sum of a constant 1, the temperature influence degree and the humidity influence degree of the any test position is taken as a correction coefficient, and the product of the bearing capacity test value of the any test position and the correction coefficient is taken to obtain the bearing capacity correction value.

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