Building material detection method and device combined with plasma mass spectrometer

Abstract

The invention relates to the technical field of building material detection, in particular to a building material detection method and device combined with a plasma mass spectrometer. The method comprises the following steps: obtaining impurity contents of a plurality of detection points of a building material; the detection point positions are correspondingly selected according to material types contained in the building materials; under the condition that the impurity content of the detection point position exceeds a preset value of the corresponding material type, structural strength analysis is carried out according to the service scene of the building material; responding to the situation that the structural strength does not meet the corresponding service scene, and outputting detection disqualification prompt information; according to the method, the matching degree of the strength of the building material and the service scene can be effectively determined, and the problem that the building material cannot be fully utilized due to the fact that adjustment cannot be performed based on specific construction conditions is avoided.

Description

Technical Field

[0001] The present application relates to the technical field of building material detection, and in particular to a building material detection method and device combined with a plasma mass spectrometer. Background Art

[0002] Building materials refer to various materials used in construction projects; their quality is usually directly related to the structural safety of the building; for example, steel with excessive impurity content may not be able to withstand the designed stress, resulting in the risk of collapse of the building during use. Therefore, the testing of building materials helps to ensure that building materials can withstand the test of time and environmental factors.

[0003] At present, the testing of building materials mostly relies on industry standards and cannot be adjusted based on specific construction conditions, resulting in the inability to fully utilize building materials. Summary of the invention

[0004] Based on this, it is necessary to provide a building material detection method and device combined with a plasma mass spectrometer to address the above technical problems.

[0005] In a first aspect, the present application provides a method for detecting building materials in combination with a plasma mass spectrometer, the method comprising:

[0006] Obtaining the impurity content of multiple testing points of the building materials; the testing points are selected according to the material types contained in the building materials;

[0007] When the impurity content at the detection point exceeds the preset value of the corresponding material type, the structural strength analysis is performed according to the service scenario of the building material;

[0008] In response to the structural strength not meeting the corresponding service scenario, a detection failure prompt message is output.

[0009] In one embodiment, the building material includes building steel bars and concrete; and the method further includes:

[0010] The detection depth is determined based on the depth of concrete covering the building steel bars, and multiple detection points are selected on the building steel bars and concrete according to the detection depth;

[0011] Sampling is performed according to the selected detection points to obtain detection samples, and impurity analysis of the samples is performed using a plasma mass spectrometer;

[0012] In response to the phosphorus content of the test sample corresponding to the building steel bars exceeding the first preset value, the sulfur content exceeding the second preset value, the sulfide content of the test sample corresponding to the concrete exceeding the third preset value, or the chloride content exceeding the fourth preset value, it is judged that the impurity content of the test point exceeds the preset value of the corresponding material type.

[0013] In one embodiment, the step of performing structural strength analysis according to the service scenario of the building material includes:

[0014] Construct a three-dimensional structural model of the target building in the service scenario; the target building is constructed based on building materials;

[0015] Through the three-dimensional structural model and the quality characteristics of building materials, the stress analysis of the target building is carried out to obtain the stress distribution of each building structure corresponding to the building materials in the target building;

[0016] Determine the bearing points of each building structure based on stress distribution, and classify the bearing points according to the preset load classification rules;

[0017] Select multiple bearing points from high to low according to the load level for structural strength analysis.

[0018] In one embodiment, the method further comprises:

[0019] Conducting structural strength tests on multiple batches of building materials to be tested; the multiple batches of building materials to be tested are building materials to be tested that contain building steel bars with different phosphorus contents and sulfur contents, and that contain concrete with different sulfide contents and phosphide contents;

[0020] Based on the test results, a correlation model between impurity content and structural strength is constructed, and the phosphorus content and sulfur content of the building steel bars in each batch of the tested building materials, as well as the sulfide content and phosphide content of the concrete are input into the correlation model for training, thereby obtaining a trained correlation model;

[0021] Through the trained association model, the degradation coefficient of the structural strength of building materials under different impurity contents is calculated based on the standard structural strength; the standard structural strength is used to characterize the structural strength when the impurity content does not exceed the preset value of the corresponding material type;

[0022] The structural strength of the bearing points is evaluated based on the impurity content of the building materials at the selected bearing points and the corresponding degradation coefficient.

[0023] In one embodiment, the method further comprises:

[0024] Obtain meteorological data of the areas where the reference buildings and target buildings are located in the big data, as well as the service life of the reference buildings; meteorological data include annual precipitation, maximum daily precipitation, annual average precipitation acidity, and wind force level; the reference building represents the building with the same building structure and building materials as the selected bearing point;

[0025] According to the service life of the reference building and the meteorological data of the area where the reference building is located, the linear relationship between the service life and the meteorological data under the same building structure and building materials is fitted;

[0026] Construct a simulation model of the building structure corresponding to the selected bearing point of the target building, and predict the service life of the target building based on the meteorological data and linear relationship of the area where the target building is located;

[0027] In response to the service life of the target building being less than the preset service life, an early warning prompt message indicating that the structural strength of the bearing point is unqualified is output; the early warning prompt message is used to indicate that the impurity content of the building materials of the target building exceeds the preset value of the corresponding material type.

[0028] In one embodiment, the method further comprises:

[0029] In the case of outputting the early warning prompt information, respectively obtaining a first difference between the phosphorus content in the building steel bars of the target building and a first preset value, a second difference between the sulfur content and a second preset value, a third difference between the sulfide content in the concrete and a third preset value, and a fourth difference between the chloride content and a fourth preset value;

[0030] The non-negative values ​​among the first difference, the second difference, the third difference and the fourth difference are adjusted in sequence according to preset intervals until the service life of the target building meets the preset service life;

[0031] When the first difference, the second difference, the third difference and the fourth difference are not negative numbers, a prompt message indicating that the building materials of the target building are qualified is output.

[0032] In a second aspect, the present application provides a building material detection device combined with a plasma mass spectrometer, the device comprising:

[0033] An acquisition module is used to acquire the impurity content of multiple detection points of the building materials; the detection points are selected according to the material types contained in the building materials;

[0034] An analysis module is used to perform structural strength analysis according to the service scenario of the building material when the impurity content at the detection point exceeds the preset value of the corresponding material type;

[0035] The output module is used to output detection failure prompt information in response to the structural strength not meeting the corresponding service scenario.

[0036] In a third aspect, the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.

[0037] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0038] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0039] The above-mentioned method and device for detecting building materials combined with a plasma mass spectrometer can realize separate detection based on the various material types contained in the building materials by selecting multiple detection points, reduce the detection error of the impurity content of the building materials, and when the impurity content exceeds the preset value of the corresponding material type, perform structural strength analysis from the perspective of impurity content combined with the service scenario of the building materials, thereby effectively determining the matching degree between the strength of the building materials and the service scenario, avoiding the problem of not being able to make adjustments based on specific construction conditions, resulting in the inability to fully utilize the building materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flowchart of the steps of determining whether a building material meets a service scenario based on impurity content in one embodiment;

[0042] Figure 2 A flowchart of the steps of extracting and analyzing impurities from building materials in one embodiment;

[0043] Figure 3 It is a flowchart of the steps of determining the bearing point according to the load level in one embodiment;

[0044] Figure 4 A flowchart of steps for evaluating the anchoring point in one embodiment;

[0045] Figure 5 A flowchart of the steps of judging whether the impurity content meets the standard based on the service life in one embodiment;

[0046] Figure 6 A flowchart of the steps for determining the impurity content in a material type required to reach the service life in one embodiment;

[0047] Figure 7The figure is a structural block diagram of a building material detection device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0049] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0050] In an exemplary embodiment, Figure 1 As shown, the present application provides a construction material detection method combined with a plasma mass spectrometer, the method comprising the following steps S102 to S106. Among them:

[0051] S102, obtaining the impurity content of multiple detection points of the building material; the detection points are selected according to the material types contained in the building material.

[0052] Specifically, the method provided in the embodiments of the present application can directly test in-service building materials to evaluate the structural strength of the building materials. Therefore, the structural strength test performed is based on an integrated state constructed with materials of multiple types.

[0053] Furthermore, in the process of testing the formed building materials, holes can be drilled in the building materials for sampling, so as to ensure that each material type in the integrally formed building materials can be sampled.

[0054] For example, when the integrally formed building material is reinforced concrete, the detection points are selected by determining the positions of the steel bars covered by the concrete, and the steel bars and concrete are sampled respectively after drilling.

[0055] Specifically, the impurity content of multiple detection points includes selecting corresponding detection points for each material type, and also includes selecting multiple detection points on the same material type, and accumulating the impurity content of each detection point of the same material type and removing the average value.

[0056] S104: When the impurity content at the detection point exceeds the preset value of the corresponding material type, a structural strength analysis is performed according to the service scenario of the building material.

[0057] Specifically, the service scene of the building material is used to indicate the structural position where the building material is in service. For example, the service scene in a bridge may be a pier or a bridge deck, and the service scene in a floor may be a longitudinal load-bearing wall or a transverse load-bearing wall.

[0058] S106, in response to the structural strength not satisfying the corresponding service scenario, outputting detection failure prompt information.

[0059] Specifically, the structural strength not satisfying the corresponding service scenario is used to indicate that the structural strength is lower than the minimum structural strength required by the service scenario.

[0060] The embodiment of the present application provides a building material detection method combined with a plasma mass spectrometer. The method can realize separate detection based on the material types contained in the building materials by selecting multiple detection points, reduce the detection error of the impurity content of the building materials, and when the impurity content exceeds the preset value of the corresponding material type, perform structural strength analysis from the perspective of the impurity content combined with the service scenario of the building materials, thereby effectively determining the matching degree between the strength of the building materials and the service scenario, avoiding the problem of not being able to make adjustments based on the specific construction conditions, resulting in the inability to fully utilize the building materials.

[0061] In an exemplary embodiment, Figure 2 As shown, the building materials include building steel bars and concrete; the method further includes the following steps S202 to S206. Among them:

[0062] S202, determining the detection depth based on the depth of concrete covering the building steel bars, and selecting a plurality of detection points on the building steel bars and concrete according to the detection depth.

[0063] S204, sampling is performed according to the selected detection points to obtain detection samples, and impurity analysis of the samples is performed using a plasma mass spectrometer.

[0064] Specifically, an inductively coupled plasma mass spectrometer (ICP-MS) is an analytical instrument that combines inductively coupled plasma (ICP) technology with mass spectrometry. It has the characteristics of rapid, accurate and good stability, and can be effectively used to extract trace impurities contained in construction steel bars and concrete.

[0065] S206, in response to the phosphorus content of the test sample corresponding to the building steel bars exceeding the first preset value, the sulfur content exceeding the second preset value, the sulfide content of the test sample corresponding to the concrete exceeding the third preset value, or the chloride content exceeding the fourth preset value, it is determined that the impurity content of the test point exceeds the preset value of the corresponding material type.

[0066] Specifically, the first preset value may be 0.045% of the total amount of construction steel bars, the second preset value may be 0.03% of the total amount of construction steel bars, the third preset value may be 3.5% of the total amount of concrete, and the fourth preset value may be 0.4% of the total amount of concrete.

[0067] In an exemplary embodiment, Figure 3 As shown, the steps of performing structural strength analysis according to the service scenario of building materials are as follows: Steps S1042 to S1048.

[0068] S1042, constructing a three-dimensional structural model of a target building in a service scenario; the target building is constructed based on building materials.

[0069] Specifically, by constructing a three-dimensional structural model of a target building using the building materials provided in the embodiments of the present application, it is possible to analyze the stress distribution of the building materials based on the building structure to be analyzed, given the impurities in the building materials, the quality and structural characteristics of the building materials, so as to determine the structural strength required for the building materials under different structural conditions.

[0070] S1044, performing stress analysis on the target building through the three-dimensional structural model and the quality characteristics of the building materials, and obtaining the stress distribution of each building structure corresponding to the building materials in the target building.

[0071] S1046, determining the bearing points of each building structure based on the stress distribution, and classifying the bearing points according to the preset load classification rules.

[0072] Specifically, the load level division rule can be based on the maximum value of the load borne by the building materials in each building structure to be analyzed, determine the stress value of the highest level load in the load level, and divide the load levels from high to low according to preset intervals.

[0073] Furthermore, given the stress value corresponding to the highest load level, multiple load levels with stress values ​​from high to low are selected according to the size of the stress distribution to determine the position of the bearing point with the largest stress value, which corresponds to the structural strength of the maximum stress that the building material should be able to withstand.

[0074] S1048, select multiple bearing points from high to low according to the load level for structural strength analysis.

[0075] In an exemplary embodiment, Figure 4 As shown, the method also includes the following steps S302 to S308.

[0076] in:

[0077] S302, performing structural strength tests on multiple batches of building materials to be tested; the multiple batches of building materials to be tested are building materials to be tested whose phosphorus content and sulfur content of the building steel bars included are different, and whose sulfide content and phosphide content of the concrete included are different.

[0078] Specifically, in order to further explore the effect of different impurity contents on structural strength, building materials to be tested whose phosphorus and sulfur contents of building steel bars are different and whose contained concretes have different sulfide and phosphide contents can be selected for structural strength testing.

[0079] S304, constructing a correlation model between impurity content and structural strength based on the test results, and inputting the phosphorus content and sulfur content of the building steel bars in each batch of the tested building materials, as well as the sulfide content and phosphide content of the concrete into the correlation model for training, to obtain a trained correlation model.

[0080] Specifically, by constructing an association relationship model, the influence of different impurity contents on the structural strength can be effectively determined, and based on this, the size of the impurity content that can meet the required structural strength can be determined.

[0081] S306, using the trained association model and taking the standard structural strength as a benchmark, calculate the degradation coefficient of the structural strength of the building materials under different impurity contents; the standard structural strength is used to characterize the structural strength when the impurity content does not exceed the preset value of the corresponding material type.

[0082] Specifically, the standard structural strength represents the impurity content of the material type corresponding to the preset value.

[0083] Furthermore, given a preset value of the impurity content corresponding to the standard structural strength, the trained association model can be used to determine the percentage of degradation of the structural strength corresponding to each impurity content relative to the standard structural strength performance, thereby determining the degradation coefficient of the structural strength corresponding to each impurity content relative to the standard structural strength.

[0084] S308, evaluating the structural strength of the bearing point according to the impurity content of the selected building material of the bearing point and the corresponding degradation coefficient.

[0085] Specifically, when determining the degradation coefficient of the structural strength corresponding to each impurity content relative to the standard structural strength, the decrease or increase of the structural strength of the bearing point can be determined according to the impurity content of the building materials at the selected bearing point, thereby forming an evaluation result of the structural strength.

[0086] In an exemplary embodiment, Figure 5As shown, the method also includes the following steps S402 to S408.

[0087] in:

[0088] S402, obtaining meteorological data of the areas where the reference buildings and target buildings in the big data are located, as well as the service life of the reference buildings; the meteorological data include annual precipitation, maximum daily precipitation, annual average precipitation acidity, and wind force level; the reference building represents a building with the same building structure and building materials as the selected bearing point.

[0089] Specifically, in order to further analyze the impact of different impurity contents on the structural strength of the target building, the service life of the target building may be observed to determine whether building materials with different impurity contents can meet service expectations based on the service life.

[0090] Furthermore, by crawling big data, we can obtain the degree of influence of different meteorological data on existing buildings when the building materials and building structures are the same as the target buildings, and thus obtain the meteorological factors with the strongest correlation with building aging, including annual precipitation, maximum daily precipitation, annual average precipitation acidity and wind level.

[0091] S404, fitting a linear relationship between the service life and the meteorological data under the same building structure and building materials according to the service life of the reference building and the meteorological data of the area where the reference building is located.

[0092] Specifically, according to different annual precipitation, maximum daily precipitation, annual average precipitation acidity and wind force level, multiple linear relationships between service life and meteorological data lines can be obtained. In the fitting process, multiple meteorological factors can be included in the linear relationship by means of difference.

[0093] S406, constructing a simulation model of the building structure corresponding to the selected bearing point of the target building, and predicting the service life of the target building based on the meteorological data and linear relationship of the area where the target building is located.

[0094] Specifically, based on the fitted linear relationship and the meteorological data of the area where the target building is located, the service life of the target building can be effectively determined.

[0095] S408, in response to the service life of the target building being less than the preset service life, outputting warning information indicating that the structural strength of the bearing point is unqualified; the warning information is used to indicate that the impurity content of the building materials of the target building exceeds the preset value of the corresponding material type.

[0096] Specifically, when the service life of the target building is less than the expected service life of the building, a warning prompt message is output, which can instruct the user to determine that the building materials used for the target building are not adequate.

[0097] In an exemplary embodiment, Figure 6 As shown, the method further includes the following steps S502 to S506.

[0098] in:

[0099] S502, when outputting the early warning prompt information, respectively obtain a first difference between the phosphorus content in the building steel bars of the target building and a first preset value, a second difference between the sulfur content and a second preset value, a third difference between the sulfide content in the concrete and a third preset value, and a fourth difference between the chloride content and a fourth preset value.

[0100] Specifically, in the case where the target building is not competent, the difference between each impurity content and the preset value is obtained respectively, which can effectively determine whether the building materials of the target building are unqualified due to the impurity content, so as to verify the early warning prompt information.

[0101] S504, adjusting the non-negative values ​​of the first difference, the second difference, the third difference and the fourth difference in sequence according to preset intervals until the service life of the target building meets the preset service life.

[0102] Specifically, when adjusting the non-negative values ​​of the first difference, the second difference, the third difference and the fourth difference so that the service life of the target building meets the preset service life, the influence of each impurity content on the building materials is substantially adjusted, thereby enhancing the correlation between the impurity content and the service life in the building materials.

[0103] In one embodiment, when the service life of the target building meets the preset service life, the value of the impurity content of each building material is output as the value of the impurity content of the standard structural strength that the building material needs to have under the same meteorological conditions.

[0104] S506: When the first difference, the second difference, the third difference and the fourth difference are not negative numbers, output prompt information that the building materials of the target building are qualified.

[0105] Specifically, the first difference, the second difference, the third difference and the fourth difference are all non-negative numbers, which are used to characterize that the impurity content does not exceed the preset value of the corresponding material type, indicating that the reason for the failure to meet the service life is not caused by the impurity content of the building materials, which can provide a basis for analysis in other directions.

[0106] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0107] Based on the same inventive concept, the embodiment of the present application also provides a building material detection device for implementing the above-mentioned building material detection method combined with a plasma mass spectrometer. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of a building material detection device provided below can refer to the above-mentioned limitations on a building material detection method combined with a plasma mass spectrometer, and will not be repeated here.

[0108] Second, as Figure 7 As shown, the present application also provides a building material detection device, the device comprising:

[0109] The acquisition module 701 is used to acquire the impurity content of multiple detection points of the building material; the detection points are selected according to the material type contained in the building material;

[0110] Analysis module 702, for performing structural strength analysis according to the service scenario of the building material when the impurity content at the detection point exceeds the preset value of the corresponding material type;

[0111] The output module 703 is used to output detection failure prompt information in response to the structural strength not meeting the corresponding service scenario.

[0112] In a third aspect, the present application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of a building material detection method combined with a plasma mass spectrometer as described above are implemented.

[0113] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a building material detection method combined with a plasma mass spectrometer as described above.

[0114] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of a building material detection method combined with a plasma mass spectrometer as described above.

[0115] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0116] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A building material detection method combined with a plasma mass spectrometer, characterized in that: The method comprises: Obtaining the impurity content of multiple detection points of the building material; the detection points are selected according to the material type contained in the building material; When the impurity content at the detection point exceeds a preset value corresponding to the material type, a structural strength analysis is performed according to the service scenario of the building material; In response to the structural strength not satisfying the corresponding service scenario, a detection failure prompt message is output.

2. The method according to claim 1, characterized in that The building materials include building steel bars and concrete; the method further includes: Determine the detection depth based on the depth of the concrete covering the building steel bar, and select multiple detection points on the building steel bar and the concrete respectively according to the detection depth; Sampling is performed according to the selected detection points to obtain detection samples, and impurity analysis of the samples is performed using a plasma mass spectrometer; In response to the phosphorus content of the test sample corresponding to the construction steel bar exceeding the first preset value, the sulfur content exceeding the second preset value, the sulfide content of the test sample corresponding to the concrete exceeding the third preset value, or the chloride content exceeding the fourth preset value, it is determined that the impurity content of the test point exceeds the preset value corresponding to the material type.

3. The method according to claim 2, characterized in that The step of performing structural strength analysis according to the service scenario of the building material comprises: Constructing a three-dimensional structural model of a target building in the service scenario; the target building is constructed based on the building materials; Performing stress analysis on the target building through the three-dimensional structural model and the quality characteristics of the building materials to obtain stress distribution of each building structure corresponding to the building materials in the target building; Determining the bearing points of each of the building structures based on the stress distribution, and classifying the bearing points according to a preset load class classification rule; A plurality of bearing points are selected from high to low according to the load level to carry out the structural strength analysis.

4. The method according to claim 3, characterized in that: The method further comprises: Conducting structural strength tests on multiple batches of building materials to be tested; the multiple batches of building materials to be tested are building materials to be tested whose phosphorus content and sulfur content of the building steel bars are different, and whose sulfide content and phosphide content of the concrete are different; Based on the test results, a correlation model between impurity content and structural strength is constructed, and the phosphorus content and sulfur content of the building steel bars in each batch of the tested building materials, as well as the sulfide content and phosphide content of the concrete are input into the correlation model for training to obtain a trained correlation model; The association relationship model completed through training is used to calculate the degradation coefficient of the structural strength of the building material under different impurity contents based on the standard structural strength; the standard structural strength is used to characterize the structural strength when the impurity content does not exceed the preset value corresponding to the material type; The structural strength of the bearing point is evaluated based on the impurity content of the selected building material of the bearing point and the corresponding degradation coefficient.

5. The method according to claim 4, characterized in that The method further comprises: Obtaining meteorological data of the area where the reference building and the target building are located in the big data, as well as the service life of the reference building; the meteorological data includes annual precipitation, maximum daily precipitation, annual average precipitation acidity, and wind force level; the reference building represents a building with the same building structure and building materials as the selected bearing point; According to the service life of the reference building and the meteorological data of the area where the reference building is located, fitting a linear relationship between the service life and the meteorological data under the same building structure and building materials; Constructing a simulation model of the building structure corresponding to the bearing point selected for the target building, and predicting the service life of the target building based on the meteorological data of the area where the target building is located and the linear relationship; In response to the service life of the target building being less than a preset service life, an early warning prompt information indicating that the structural strength of the bearing point is unqualified is output; the early warning prompt information is used to indicate that the impurity content of the building materials of the target building exceeds a preset value corresponding to the material type.

6. The method according to claim 5, characterized in that The method further comprises: When the warning prompt information is output, a first difference between the phosphorus content in the building steel bars of the target building and a first preset value, a second difference between the sulfur content and a second preset value, a third difference between the sulfide content in the concrete and a third preset value, and a fourth difference between the chloride content and a fourth preset value are respectively obtained; adjusting the non-negative values ​​of the first difference, the second difference, the third difference and the fourth difference in sequence according to preset intervals until the service life of the target building meets the preset service life; When the first difference, the second difference, the third difference and the fourth difference are not negative numbers, a prompt message indicating that the building materials of the target building are qualified is output.

7. A building material detection device combined with a plasma mass spectrometer, characterized in that: The device comprises: An acquisition module, used for acquiring the impurity content of multiple detection points of the building material; the detection points are selected according to the material type contained in the building material; An analysis module, configured to perform structural strength analysis according to a service scenario of the building material when the impurity content at the detection point exceeds a preset value corresponding to the material type; The output module is used to output detection failure prompt information in response to the structural strength not meeting the corresponding service scenario.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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