A building anticorrosion and thermal insulation engineering data management system

Abstract

The application relates to the technical field of environmental protection engineering information management, and particularly discloses a building anticorrosion and heat preservation engineering data management system, which comprises: a quality inspection module, which is used for detecting the material environmental protection performance parameters of each preset point in the building material handover and transportation in real time; a sampling module, which is used for sampling the environmental protection performance parameters of each preset point in the building material handover and transportation through a sampling strategy; a parameter acquisition module, which is used for acquiring real-time material performance detection parameters monitored by a material acceptance equipment; a performance simulation module, which is used for acquiring real-time material performance detection parameters in a preset period of time and analyzing the same, and obtaining standard environmental protection performance parameters of each preset point in a material transportation route according to an analysis result; and an early warning adjustment module, which is used for comparing and analyzing the environmental protection performance parameters obtained through sampling with the standard environmental protection performance parameters; the application is favorable for improving the construction efficiency of anticorrosion and heat preservation engineering and reducing the material environmental protection performance maintenance and troubleshooting difficulty.

Description

TECHNICAL FIELD

[0001] The application relates to the field of environmental protection engineering information management, and particularly relates to a building anticorrosion and thermal insulation engineering data management system. BACKGROUND

[0002] With the rapid development of the economy of China, the construction industry has rapidly risen, however, in the construction process, how to ensure the quality and efficiency of the anticorrosion and thermal insulation engineering has become a problem to be solved. The traditional data management mode mainly depends on manual operation, and there are many inconveniences. Therefore, the building anticorrosion and thermal insulation engineering data management system emerges as the times require, and provides a high-efficiency and convenient data management solution for the construction company.

[0003] In the anticorrosion and thermal insulation engineering of building materials, material performance is usually only inspected and managed before construction, however, there is no step of collecting and detecting the performance data of the materials in the transportation process between the handover and the acceptance, due to the lack of material environmental protection performance and material stability detection, the acceptance inspection requirement is ignored in the handover process of the building materials, the environmental protection performance of the materials and the material stability are difficult to match, and then the transportation materials have the problem of unqualified quality, the repair difficulty is great, finally, the construction process of the anticorrosion and thermal insulation engineering is affected to run smoothly, the engineering progress is affected, the personnel repair cost and the engineering construction problem troubleshooting difficulty are increased. SUMMARY

[0004] The application aims to provide a building anticorrosion and thermal insulation engineering data management system, and solve the following technical problems:

[0005] How to improve the construction efficiency of the anticorrosion and thermal insulation engineering, and reduce the material environmental protection performance repair and troubleshooting difficulty.

[0006] The application can be realized by the following technical scheme:

[0007] A building anticorrosion and thermal insulation engineering data management system, comprising:

[0008] An inspection module, used for detecting the material environmental protection performance parameters of each preset point in the transportation of the building materials in real time;

[0009] A sampling module, used for sampling the environmental protection performance parameters of each preset point in the transportation of the building materials through a sampling strategy;

[0010] A parameter acquisition module, used for acquiring real-time material performance detection parameters monitored by a material acceptance equipment; the material performance detection parameters comprise material anticorrosion parameters and material thermal insulation parameters;

[0011] The performance simulation module is configured to obtain real-time material performance detection parameters in a preset period of time and analyze the real-time material performance detection parameters, and obtain standard environmental performance parameters of each preset point of a material transportation route according to an analysis result.

[0012] The early warning adjustment module is configured to compare and analyze the environmental performance parameters obtained by sampling with the standard environmental performance parameters, determine an environmental safety quality standard of the material to be transferred according to an analysis result, and feed back a warning and adjust a sampling strategy according to the determination result.

[0013] Preferably, the sampling strategy comprises:

[0014] collecting real-time environmental performance parameters according to an initial sampling frequency and an initial sampling interval length;

[0015] adjusting the initial sampling frequency and the initial sampling interval according to a comparison and analysis result.

[0016] Preferably, the comparison and analysis process comprises:

[0017] obtaining a material safety coefficient value F of the ith preset point by a formula . i ;

[0018] wherein M is a number of monitored material environmental performance parameter items; j ∈ [1, M]; P ij (t) is a jth environmental performance parameter value of the ith preset point; maxP ij (t) is a maximum value of P ij (t) in a sampling interval; aveP ij (t) is an average value of P ij (t) in the sampling interval; P ijmax (t) is a maximum value of a jth environmental performance parameter standard curve of the ith preset point in the sampling interval; P ijthr (t) is an average value of the jth environmental performance parameter standard curve of the ith preset point in the sampling interval; P jmt (t) is a jth environmental performance parameter comprehensive deviation value; θ is a preset deviation coefficient; dp ij(t) is a real-time sampling interval of the ith preset point; Δt is a sampling time length; is a number of the jth environmental performance parameter under the sampling time length Δt in the real-time sampling interval of the ith preset point; α1, α2 are preset adjustment coefficients; γ j is a weight coefficient corresponding to the jth environmental performance parameter;

[0019] judges a material environmental quality safety of the ith preset point according to F i .

[0020] Preferably, according to the F i The steps for determining the material safety of the i-th preset point are as follows:

[0021] The material safety factor F i The material safety threshold range [F] of the i-th preset point i1 F i2 Compare:

[0022] If F i >F i2 If the environmental performance of the material at the i-th preset point is found to have quality and safety issues, an early warning message is generated, and the material is inspected.

[0023] If F i ∈[F i1 F i2 If the environmental performance of the material at the i-th preset point is deemed to have quality and safety risks, an instruction to adjust the sampling strategy will be generated.

[0024] If F i <F i1 If the environmental performance of the material at the i-th preset point is normal, then it is determined that the material is normal.

[0025] Preferably, the process of the instruction to adjust the sampling strategy is as follows:

[0026] Identify sampling areas with potential quality and safety risks and mark the locations of materials at the corresponding points;

[0027] Calculate the positive distance difference ΔS between the marked position and the preset position according to the handover and transportation sequence, and calculate the deviation time at the standard sampling frequency v.

[0028] The sampling duration t at the adjusted preset points ad =Δt+t x ; Obtain the adjusted sampling interval distance d ad =d + ΔS; where d is the distance between sampling intervals;

[0029] Sampling frequency at the adjusted preset points

[0030] Preferably, the operation of the performance simulation module is as follows:

[0031] Real-time acquisition of material performance test parameters (E1, E2, ..., E) curves at various monitoring points of the material acceptance equipment over time. N Through formula Calculate the parameter deviation C d ;

[0032] in,

[0033] The parameter deviation C d With preset threshold C thr Compare sizes:

[0034] If C d <C thr If the material's performance stability is normal, then it can be determined that the material's properties are stable.

[0035] Otherwise, if the material is deemed to have poor performance stability, it should be replaced or adjusted.

[0036] Preferably, the curve E representing the material's normal performance stability is obtained. k The area value S at the preset time k , will S k Compared with the standard area threshold range [S] A S B Compare:

[0037] If S k ∈[S A S B If ], then obtain the S value of the current point. k The average value is used as the standard environmental performance parameter;

[0038] like Then obtain the curve E at the current point. k The average of the sum of the maximum and minimum values ​​of the material performance testing parameters is used as the standard environmental performance parameter;

[0039] Preferably, it also includes a data storage module for storing real-time detected material performance parameters and operating environment parameters.

[0040] The beneficial effects of this invention are as follows: This invention uses a sampling module to sample environmental performance parameters at various preset points during the material handover and transportation process, and completes the entire sampling process according to a sampling strategy, ensuring the smooth acquisition of material environmental performance data. Simultaneously, a warning and adjustment module provides feedback and adjustment to the sampling strategy, ensuring that monitoring time and speed are adjusted according to the actual handover status of the materials, reducing potential quality issues that may be missed during material transportation. Furthermore, it enables adaptive adjustments to equipment monitoring and material transportation, ensuring safety during transportation. This reduces the need for manual re-inspection and adjustment, and increases the automation of data management in building corrosion prevention and insulation projects.

[0041] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic diagram of a data management system module for building corrosion prevention and thermal insulation engineering according to the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figure 1 As shown, this invention is a data management system for building corrosion prevention and thermal insulation engineering, comprising:

[0046] The quality inspection module is used to monitor the environmental performance parameters of building materials at various preset points during the handover and transportation of building materials in real time.

[0047] The sampling module is used to sample the environmental performance parameters of each preset point during the handover and transportation of building materials using a sampling strategy.

[0048] The parameter acquisition module is used to acquire real-time material performance testing parameters from the material acceptance equipment monitoring; the material performance testing parameters include material corrosion resistance parameters and material thermal insulation parameters.

[0049] The performance simulation module is used to acquire and analyze real-time material performance test parameters over a preset period of time, and obtain standard environmental performance parameters for each preset point on the material transportation route based on the analysis results.

[0050] The early warning and adjustment module is used to compare and analyze the environmental performance parameters obtained from sampling with the standard environmental performance parameters, determine the environmental safety and quality standards of the handed-over materials based on the analysis results, and provide early warnings and adjust the sampling strategy based on the judgment results.

[0051] The above technical solutions lack the steps of collecting and testing performance data during the material transfer process between handover and acceptance. Due to the lack of testing on the environmental performance and stability of materials, the acceptance and quality inspection requirements are neglected during the handover of different building materials. The environmental performance and stability of different materials are difficult to match, which leads to the quality problems of transported materials. Repair is difficult, which ultimately affects the smooth operation of the anti-corrosion and insulation project construction process, affects the project progress, increases personnel maintenance costs, and makes it more difficult to find problems in the project construction.

[0052] To address the aforementioned technical problems, this invention provides a data management system for building corrosion protection and insulation engineering. Specifically, it comprises five modules: a quality inspection module, a sampling module, a parameter acquisition module, a performance simulation module, and an early warning and adjustment module. This system aims to improve the construction efficiency of corrosion protection and insulation projects and reduce the difficulty of inspecting and troubleshooting the environmental performance of materials. Specifically, the sampling module samples environmental performance parameters at various preset points during material handover and transportation, completing the entire sampling process according to a sampling strategy to ensure the smooth acquisition of material environmental performance data. Simultaneously, the early warning and adjustment module provides feedback and adjustment to the sampling strategy, ensuring that monitoring time and speed are adjusted according to the actual handover status of the materials, reducing potential quality issues that may be missed during material transportation. Furthermore, it enables adaptive adjustments to equipment monitoring and material transportation, ensuring safety during transportation. In addition, this embodiment also uses the parameter acquisition module and the performance simulation module to acquire environmental performance parameters at various preset points during material handover and transportation during comparative analysis. Clearly, the quality inspection module's detection and analysis of material environmental performance parameters at various preset points during material handover and transportation can accurately judge and adjust the quality during the material handover process.

[0053] As one embodiment of the present invention, the sampling strategy includes:

[0054] Real-time environmental performance parameters are collected according to the initial sampling frequency and the duration of the initial sampling interval.

[0055] Based on the results of the comparative analysis, the initial sampling frequency and initial sampling interval are adjusted accordingly.

[0056] Through the above technical solution, the sampling strategy in this embodiment collects real-time environmental performance parameters according to the initial sampling frequency and the duration of the initial sampling interval. Then, based on the results of comparative analysis, the initial sampling frequency and the initial sampling interval are adjusted. This enables timely detection of the material inspection quality during the handover and transportation process and improves the matching accuracy between monitoring points and material quality. It reduces the consumption of manual re-inspection and adjustment and increases the automation of data management for building anti-corrosion and thermal insulation projects.

[0057] As one embodiment of the present invention, the comparison and analysis process is as follows:

[0058] Through formula Calculate the material safety factor F at the i-th preset point. i ;

[0059] Where M is the number of environmental performance parameters of the monitored materials; j∈[1,M]; P ij (t) represents the value of the j-th environmental performance parameter at the i-th preset point; maxP ij (t) represents P within the sampling interval. ij (t) Maximum value; aveP ij (t) represents P within the sampling interval. ij (t) average value; P ijmax (t) represents the maximum value of the standard curve of the j-th environmental performance parameter at the i-th preset point within the sampling interval; P ijthr (t) represents the average value of the standard curve of the j-th environmental performance parameter at the i-th preset point within the sampling interval; P jmt (t) represents the comprehensive deviation value of the j-th environmental performance parameter; θ is the preset positive coefficient; dp ij(t) Δt represents the real-time sampling interval for the i-th preset point; Δt is the sampling duration. γ represents the number of environmental performance parameters of the j-th term under the real-time sampling interval of the i-th preset point, over the sampling duration Δt; α1 and α2 are preset adjustment coefficients; γ j The weighting coefficient corresponding to the j-th environmental performance parameter;

[0060] According to F i The environmental quality and safety of the materials at the i-th preset point are assessed.

[0061] Through the above technical solution, this embodiment also includes obtaining the material safety factor value F. i To assess the environmental quality and safety of materials at the corresponding preset testing points; among which, the material safety factor value F i It is based on a comprehensive judgment of the maximum, average, and deviation values ​​of environmental performance parameters, and is combined with the requirements of different material environmental quality parameter standards for comprehensive analysis and adjustment, so as to ensure that potential environmental safety issues during the material handover and transportation process can be predicted.

[0062] It should be noted that the deviation value P involved in the above formula jmt Preset adjustment coefficients α1, α2, γ j The preset positive bias coefficients θ are obtained by fitting empirical test data, and will not be detailed here; furthermore, the standard value P is... ijmax (t), P ijthr(t) is obtained from the standard environmental performance parameters acquired by the performance simulation module, which will not be elaborated here; in addition, the sampling duration Δt and the real-time sampling interval dp ij The (t) and the corresponding sampling quantity were obtained by fitting data based on the pre-set standards for the handover and transportation of different materials, and will not be described in detail here.

[0063] As one embodiment of the present invention, according to F i The steps for determining the material safety of the i-th preset point are as follows:

[0064] The material safety factor F i The material safety threshold range [F] of the i-th preset point i1 F i2 Compare:

[0065] If F i >F i2 If the environmental performance of the material at the i-th preset point is found to have quality and safety issues, an early warning message is generated, and the material is inspected.

[0066] If F i ∈[F i1 F i2 If the environmental performance of the material at the i-th preset point is deemed to have quality and safety risks, an instruction to adjust the sampling strategy will be generated.

[0067] If F i <F i1 If the environmental performance of the material at the i-th preset point is normal, then it is determined that the material is normal.

[0068] Through the above technical solution, in this embodiment, the material safety factor value F is used. i With the material safety threshold range [F i1 F i2 The method of comparing sizes is used to judge the safety issues of the material's environmental performance, and the material safety threshold range [F] is determined. i1 F i2 It was also obtained by fitting empirical data, so in F i >F i2 If, upon determining that there are quality and safety issues related to the environmental performance of materials, an early warning is issued, and the process is suspended while the problematic materials are being inspected and repaired; if F i ∈[F i1 F i2 If the material's environmental performance is deemed to pose a quality and safety risk, this is determined by the material's safety factor F. i The sampling strategy is adjusted to ensure that it matches the current material handover and transportation process, thus ensuring the adaptive adjustment of the sampling strategy.

[0069] As one embodiment of the present invention, the process of adjusting the sampling strategy instruction is as follows:

[0070] Identify sampling areas with potential quality and safety risks and mark the locations of materials at the corresponding points;

[0071] Calculate the positive distance difference ΔS between the marked position and the preset position according to the handover and transportation sequence, and calculate the deviation time at the standard sampling frequency v.

[0072] The sampling duration t at the adjusted preset points ad =Δt+t x ; Obtain the adjusted sampling interval distance d ad =d + ΔS; where d is the distance between sampling intervals;

[0073] Sampling frequency at the adjusted preset points

[0074] Through the above technical solution, this embodiment ensures that the sampling strategy adjustment process matches the material handover and transportation process with the current environmental performance of the materials. The specific process is as follows:

[0075] As one embodiment of the present invention, the working process of the performance simulation module is as follows: First, identify the sampling intervals where there is a risk of quality and safety problems and mark the material at the corresponding points; then, calculate the positive distance difference ΔS between the marked position and the preset position according to the handover and transportation sequence, and calculate the deviation time at the standard sampling frequency v. Finally, it can be determined that the sampling time t at the adjusted preset point is... ad =Δt+t x ; Obtain the adjusted sampling interval distance d ad =d + ΔS; Sampling frequency at the adjusted preset point By adjusting the sampling strategy, it is possible to automate the matching of the environmental performance of materials during the material transportation and handover process and improve the accuracy of testing.

[0076] As one embodiment of the present invention, curves E1, E2, ..., E1, E2, ..., E3, representing the changes in material performance test parameters over time at various monitoring points of the material acceptance equipment are acquired in real time. N Through formula Calculate the parameter deviation C d ;

[0077] in,

[0078] The parameter deviation C d With preset threshold C thr Compare sizes:

[0079] If C d <C thr If so, the material's performance stability is considered normal;

[0080] Otherwise, if the material is deemed to have poor performance stability, it should be replaced or adjusted.

[0081] Through the above technical solution, this embodiment aims to ensure the consistency of material requirements during handover and acceptance by obtaining environmental performance parameters of materials that meet transportation standards; and by acquiring the curves E1, E2, ..., E of the material performance test parameters at each monitoring point of the material acceptance equipment over time in real time. N And through the formula Calculate the parameter deviation C d Through parameter deviation C d With preset threshold C thr The size is compared to determine whether the material properties meet current environmental performance requirements, and the results are analyzed for C. d <C thr If the material's performance is stable, it is considered to be in good condition; otherwise, if the material's performance is unstable, the material to be transported needs to be replaced or adjusted.

[0082] As one embodiment of the present invention, a curve E showing normal material property stability is obtained. k The area value S at the preset time k , will S k Compared with the standard area threshold range [S] A S B Compare:

[0083] If S k ∈[S A S B If ], then obtain the S value of the current point. k The average value is used as the standard environmental performance parameter;

[0084] like Then obtain the curve E at the current point. k The average of the sum of the maximum and minimum values ​​of the material performance test parameters is used as the standard environmental performance parameter.

[0085] Using the above technical solution, data on the normal stability of material properties that meet environmental performance requirements are analyzed. The analysis method in this embodiment is as follows: Obtain the curve E indicating normal material property stability. k The area value S at the preset time k And S k Compared with the standard area threshold range [S] A S B Compare: If S k∈[S A S B If ], then obtain the S value of the current point. k The average value is used as the standard environmental performance parameter; if Then obtain the curve E at the current point. k The average of the sum of the maximum and minimum values ​​of the material performance test parameters is used as the standard environmental performance parameter. The obtained standard environmental performance parameter serves as the comparison standard for the environmental performance parameters of the material under the current material transportation conditions, thereby ensuring the smooth operation of the current material anti-corrosion and insulation engineering construction process, and improving the material safety performance and the automation process of the anti-corrosion engineering.

[0086] As one embodiment of the present invention, it also includes a data storage module for storing real-time detected material performance parameters and operating environment parameters; by setting up the data storage module, it is used to retrieve and record data of the automated monitoring process of different batches of material transportation in a timely manner.

[0087] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A data management system for building anticorrosion and thermal insulation works, characterized in that, Comprise: Quality inspection module for real-time detection of building materials in the transfer of environmental performance parameters at each preset point; Sampling module for sampling the environmental performance parameters of each preset point in the transfer of building materials through sampling strategy; Parameter acquisition module for obtaining real-time material performance detection parameters monitored by material acceptance equipment; The material performance detection parameters include material corrosion resistance parameters and material thermal insulation parameters; Performance simulation module for obtaining real-time material performance detection parameters within a preset period of time and analyzing, obtaining standard environmental performance parameters of each preset point of the material transportation route according to the analysis results; Early warning adjustment module for comparing and analyzing the environmental performance parameters obtained by sampling with the standard environmental performance parameters, judging the environmental safety quality standard of the transferred materials according to the analysis results, and feeding back early warning and adjusting the sampling strategy according to the judgment results.

2. The data management system for building anticorrosive and thermal insulation engineering according to claim 1, characterized in that, The sampling strategy includes: According to the initial sampling frequency and the initial sampling interval length, the real-time environmental performance parameters are collected; According to the results of comparison and analysis, the initial sampling frequency and the initial sampling interval are adjusted.

3. The data management system for building anticorrosive and thermal insulation engineering according to claim 2, characterized in that, The comparison and analysis process is: Through the formula: ； The material safety factor value of the preset point is calculated i ;​ in, The number of environmental performance parameters monitored; ; For the first i The first preset point j Environmental performance parameter values; Within the sampling interval Maximum value; Within the sampling interval average value; The first in the sampling interval i The first preset point j The maximum value of the standard curve for each environmental performance parameter; The first in the sampling interval i The first preset point j The average value of the standard curves for each environmental performance parameter; For the first j Comprehensive deviation value of environmental performance parameters; This is a preset positive bias coefficient; For the first i Real-time sampling intervals for each preset point; Sampling duration; For the first i The first preset point real-time sampling interval j Environmental performance parameters during sampling time The number of down; , This is the preset adjustment coefficient; For the first j The weighting coefficients corresponding to each environmental performance parameter; According to judging the material environmental protection quality safety of the first i preset point.

4. The data management system for building anticorrosive and thermal insulation engineering according to claim 3, characterized in that, According to the The material safety judgment step for the first i preset point is: comparing the material safety factor value with a material safety threshold interval of the i first preset point ​ If > , it is determined that the material environmental protection performance of the first preset point has a quality safety problem, a warning information is generated, and material maintenance is performed. i ​ like ∈ Then determine the first i If the environmental performance of materials at certain preset sampling points poses a risk of quality and safety issues, an instruction to adjust the sampling strategy will be generated. If < , it is determined that the material environmental protection performance of the first preset point is normal. i ​ 5. The data management system for building anticorrosive and thermal insulation engineering according to claim 4, characterized in that, The process of adjusting the sampling strategy instruction is: Identify the sampling interval with quality safety problem risk and mark the position of the corresponding point material; Calculate the positive distance difference between the marked position and the preset position according to the handover transportation sequence S , calculate the deviation time under the standard sampling frequency v ;​ sampling duration under the adjusted preset point ; obtain the adjusted sampling interval distance S ; wherein, sampling interval distance adjusted preset point .

6. The data management system for building anticorrosive and thermal insulation engineering according to claim 1, characterized in that, The working process of the performance simulation module is: Obtain the curve of material performance detection parameter of each monitoring point of the material acceptance equipment changing with time in real time , ,..., , calculate the parameter deviation degree by formula ;​ wherein , k ∈ ; deviation of parameters compared with a preset threshold comparison size: If < then the material performance stability is normal; Otherwise, it is judged that the material performance stability is poor, and the material is replaced and adjusted.

7. The data management system for building anticorrosive and thermal insulation engineering according to claim 6, characterized in that, Obtaining a curve of material property stability normal Area value at preset time , the standard area threshold interval is compared with If ∈ , the average value of the current point's is obtained as the standard environmental performance parameter; If , then the curve of the current point is obtained The average value of the sum of the maximum and minimum values of the material performance detection parameters in the middle is taken as the standard environmental protection performance parameter.

8. The data management system for building anticorrosive and thermal insulation engineering according to claim 1, characterized in that, It also includes a data storage module for storing real-time material performance parameters and operating environment parameters.

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