CN117147200B - Underground warehouse building structure operation and maintenance monitoring system based on Internet of things - Google Patents
Underground warehouse building structure operation and maintenance monitoring system based on Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of operation and maintenance monitoring of an underground warehouse structure, and particularly discloses an operation and maintenance monitoring system of the underground warehouse structure based on the Internet of things.
Description
Technical Field
The invention relates to the technical field of operation and maintenance monitoring of underground building structures, in particular to an operation and maintenance monitoring system of an underground warehouse building structure based on the Internet of things.
Background
At present, due to the rapid development of social economy, produced articles are increased, but due to limited utilization of space areas on the ground, the articles are stored in the underground space of the building, so that the monitoring of the structural operation and maintenance of the underground warehouse is essential, the change condition of the building structure of the underground warehouse can be mastered in time, and meanwhile, the storage safety of the articles and the reliability of the underground warehouse can be ensured.
Today, there are also some drawbacks in the operation and maintenance monitoring of the building structure of an underground warehouse, in particular in the following respects: in the prior art, when the operation and maintenance of the building structure of the underground warehouse are monitored, the operation and maintenance condition of the whole structure or the damage degree of a wall body are usually analyzed, the influence of a defect area and a metal component in the warehouse on the operation and maintenance of the structure is not considered, the analyzed related parameters are not comprehensive enough, a large deviation exists between the analyzed result and the actual condition of the building structure, the underground warehouse possibly has a collapse risk, and meanwhile, the objects in the underground warehouse are damaged to a certain extent, so that the normal operation of the underground warehouse and the safety of the stored objects are influenced.
For example, publication No.: the patent application of CN105155597A discloses a monitoring and adjusting system of an underground structure and a construction method thereof, wherein the monitoring and adjusting system comprises a plurality of groups of sensors distributed in the underground structure and soil surrounding the underground structure, so as to receive signals sent by the sensors, transmit acquired data to a data processing and management system, transmit processed data to an evaluation and control system, and simultaneously set displacement adjusters between a plurality of underground structures and pile foundations, so that the displacement adjusters are connected with the evaluation and control system, receive and execute adjusting instructions issued by the evaluation and control system according to evaluation results.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
in the prior art, when monitoring an underground structure, the operation and maintenance conditions of the whole structure are usually analyzed, and the underground structure is regulated according to a set system, although detailed information of the underground structure can be obtained in real time to a certain extent, the applied parameters are still not comprehensive enough in specific numerical analysis, so that a final obtained result has a great error with an actual result, the whole operation and maintenance of the underground structure is not only influenced, but also the safety of stored articles in an underground warehouse cannot be ensured.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an operation and maintenance monitoring system for an underground warehouse building structure based on the Internet of things, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: an operation and maintenance monitoring system for an underground warehouse building structure based on the internet of things, comprising: the appointed underground warehouse dividing module is used for dividing the appointed underground warehouse according to the equal area to obtain each warehouse subarea.
The wall quality information analysis module is used for analyzing the wall quality information of each warehouse subarea under a set monitoring period and calculating the wall quality abnormality degree index of each warehouse subarea.
The structural performance state monitoring module is used for monitoring the structural performance state of each warehouse subarea and analyzing the structural performance abnormality degree index of each warehouse subarea.
And the operation and maintenance abnormal feedback prompt module is used for comprehensively analyzing the structure operation and maintenance abnormal evaluation values of all warehouse subareas and carrying out operation and maintenance abnormal feedback prompt.
The building information base is used for storing wall body reference thickness values, initial three-dimensional images, wall body reference temperature values and defect area reference adaptation center interval distances of all warehouse subareas, storing corresponding permitted damage areas of all metal components, and storing structural operation and maintenance abnormal limit values for designating unit accumulated operation and maintenance years of a storage main body of the underground warehouse.
As a further scheme, the analysis of wall quality information of each warehouse subarea under a set monitoring period comprises the following specific analysis processes:
sampling points are distributed on all warehouse subareas, so that wall thickness values corresponding to all sampling points of all warehouse subareas are collected and countedWherein i is denoted by the number of each warehouse sub-area, < >>M represents the number of warehouse subregions, j represents the number of each sampling point, +.>N is expressed as the number of sampling points.
Extracting wall body reference thickness values of all warehouse subareas from building information baseCalculating the wall thickness fitting coefficient of each warehouse subarea>The calculation formula is as follows:
，
wherein the method comprises the steps ofExpressed as a correction factor corresponding to a predefined wall thickness value.
Acquiring the construction and transportation accumulation years of each warehouse subareaInitial wall compressive strength value +.>And initial wall tensile Strength value->Simultaneously extracting compressive strength values (about) of the broken wall corresponding to unit construction service life of each predefined warehouse subarea>And the tensile strength value of the broken wall body>。
Calculating the wall body application stability coefficient of each warehouse subareaThe calculation formula is as follows:wherein->And->The operation stability evaluation factors are respectively expressed as predefined wall compressive strength values and wall tensile strength values. Obtaining the maximum strain force and the minimum strain force of the wall body of each sampling point of each warehouse subarea under a set monitoring period, and obtaining the wall body strain force difference +/+/corresponding to each sampling point of each warehouse subarea through difference processing>Simultaneously extracting wall body permission strain difference corresponding to each predefined warehouse subarea>。
Calculating the wall strain force stability coefficient of each warehouse subareaThe calculation formula is as follows:wherein->Expressed as a correction factor corresponding to a predefined wall strain difference.
And acquiring three-dimensional images of all the warehouse subareas, extracting the wall height values of all the sampling points of all the warehouse subareas at the current monitoring time point, simultaneously extracting initial three-dimensional images of all the warehouse subareas from a building information base, acquiring the wall initial height values corresponding to all the sampling points of all the warehouse subareas, and obtaining the wall height differences corresponding to all the sampling points of all the warehouse subareas through difference processing.
As a further scheme, the wall quality abnormality degree index of each warehouse subarea comprises the following specific analysis processes:
according to the height difference of the wall corresponding to each sampling point of each warehouse subareaSimultaneously acquiring the accumulated operation and maintenance years of the appointed underground warehouse, and extracting the wall body permission corresponding to the predefined unit operation and maintenance yearsCan deviate from the height difference +>。
Calculating wall settlement coincidence coefficients of all warehouse subareasThe calculation formula is as follows:wherein->Expressed as cumulative operational years of the specified underground warehouse,/->Expressed as a coincidence assessment factor corresponding to a predefined wall height difference. Identifying and counting wall vibration times of all warehouse subareas under a set monitoring period>Simultaneously monitoring and extracting the vibration amplitude of the wall body of each warehouse subarea in each vibration, extracting the maximum vibration amplitude and the minimum vibration amplitude of the wall body from the vibration amplitude, and respectively marking as +.>And->。
Calculating the wall vibration influence degree coefficient of each warehouse subareaThe calculation formula is as follows:wherein->Expressed as monitoring period duration +.>Expressed as predefined wall permissible vibration frequency, +.>Correction factor corresponding to the set vibration frequency, < ->And the set unit wall vibration difference value is expressed as an influence factor corresponding to the set unit wall vibration difference value.
As a further scheme, the wall quality abnormality degree index of each warehouse subarea is calculated by the following formula:wherein->Wall quality abnormality degree index expressed as i-th warehouse subregion, +.>、/>、/>、/>And->The weight factors are respectively expressed as the set wall thickness suitable coefficient, the wall application stable coefficient, the wall strain force stable coefficient, the wall settlement conforming coefficient and the wall vibration influence degree coefficient.
As a further scheme, the monitoring of the structural performance state of each warehouse subarea comprises the following specific analysis processes:
obtaining maximum wall temperature values of sampling points of all warehouse subareas under a set monitoring periodExtracting wall body reference temperature values of all warehouse subareas from a building information base>。
Calculating wall temperature influence assessment coefficients of all warehouse subareasThe calculation formula is as follows:wherein->The influence factor corresponding to the set unit wall temperature difference is expressed as +.>Expressed as a predefined permissible wall temperature difference, +.>And the correction factor is indicated as a correction factor corresponding to the preset wall temperature difference.
And positioning and extracting the areas of each defective area of the wall body of each warehouse subarea and the distance between the center position point of each defective area and the center point of the corresponding warehouse subarea according to the three-dimensional image of each warehouse subarea.
As a further scheme, the structural performance abnormality degree index of each warehouse subarea comprises the following specific analysis processes:
according to the area of each defective area of the wall body of each warehouse subareaAnd the distance between the centre point of each defective area and the centre point of the warehouse sub-area +.>Wherein v is denoted by the number of each defective area, ">W is expressed as the number of defective areas while defective area reference adaptation center spacing distance of each warehouse sub-area is extracted from the building information base>。
Calculating wall defect influence assessment coefficients of all warehouse subareasThe calculation formula is as follows:wherein->Wall structure interference factor expressed as predefined unit defect area correspondence +.>Expressed as a correction factor corresponding to a predefined wall defect.
According to the three-dimensional image of each warehouse subarea and the initial three-dimensional image of each warehouse subarea, obtaining an apparent image and an initial apparent image corresponding to each metal component of each warehouse subarea, and comparing to obtain apparent damage areas corresponding to each metal component of each warehouse subareaWherein p represents the number of each metal member, < >>Q represents the number of metal members.
Extracting corresponding permitted damage area of each metal component from building information baseCalculating metal damage area influence assessment coefficient of each warehouse subarea>Calculation ofThe formula is: />Wherein->Expressed as a factor of influence corresponding to a predefined area of damage to the metal member.
As a further scheme, the structural performance abnormality degree index of each warehouse subarea is as follows:wherein->Structural performance abnormality degree index expressed as the ith warehouse sub-area, +.>、/>And->Respectively representing the set wall temperature influence evaluation coefficient, the wall defect influence evaluation coefficient and the weight corresponding to the metal damage area influence evaluation coefficient.
As a further scheme, the structure operation and maintenance abnormality evaluation values of all warehouse subareas comprise the following specific analysis processes:
according to the accumulated operation and maintenance years of the appointed underground warehouseSimultaneously acquiring the type of the storage main body of the appointed underground warehouse, and extracting the structural operation and maintenance abnormality limit value of the unit accumulated operation and maintenance years of the storage main body of the appointed underground warehouse from the building information base>。
According to the wall quality abnormality degree index of each warehouse subareaAnd structural abnormality degree index->Calculating the structural operation and maintenance abnormality evaluation value of each warehouse subarea>The calculation formula is as follows: />Wherein->And->Respectively representing the weight factors corresponding to the set wall quality abnormality degree index and the structural performance abnormality degree index.
As a further scheme, the operation and maintenance abnormality feedback prompt is performed, and the specific analysis process is as follows:
comparing the structure operation and maintenance abnormality evaluation value of each warehouse subarea with a preset structure operation and maintenance abnormality evaluation threshold, and if the structure operation and maintenance abnormality evaluation value of a warehouse subarea is higher than the structure operation and maintenance abnormality evaluation threshold, carrying out operation and maintenance abnormality feedback prompt on the warehouse subarea.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the operation and maintenance monitoring system for the building structure of the underground warehouse based on the Internet of things, the underground warehouse is divided into the warehouse subareas, the wall quality and the structural performance of each underground warehouse are analyzed in sequence, more scientific and reliable data basis is provided for subsequent operation and maintenance abnormal feedback prompt, the applied parameters are comprehensive, errors in numerical analysis processing are reduced, the operation and maintenance conditions of the building structure of the underground warehouse can be mastered in time, and meanwhile, the storage safety of storage objects and the structural reliability of the underground warehouse can be ensured.
(2) According to the invention, through analyzing the wall quality information of each warehouse subarea in a set monitoring period and calculating the wall quality abnormality degree index of each warehouse subarea, the related parameters of the wall quality are finely analyzed, so that the quality condition of the wall can be accurately reflected, and more scientific data support is provided for the operation and maintenance abnormality evaluation value of the subsequent comprehensive analysis structure.
(3) According to the method, the structural performance state of each warehouse subarea is monitored, the structural performance abnormality degree index of each warehouse subarea is analyzed, and the defects and the metal components of each warehouse subarea are judged, so that the structural performance of the underground warehouse can obtain a more detailed parameter evaluation result, and the evaluation accuracy of the subsequent structural operation and maintenance abnormality is improved.
(4) According to the method, the structure operation and maintenance abnormality evaluation values of all warehouse subareas are comprehensively analyzed, operation and maintenance abnormality feedback prompt is carried out, and comprehensive analysis is carried out on the wall quality and the structure performance of the underground warehouse according to the accumulated operation and maintenance years and the preset structure operation and maintenance abnormality limit value of the underground warehouse, so that the structure operation and maintenance abnormality evaluation values of all warehouse subareas are more accurate, better storage conditions can be provided for storage articles, and the operation and maintenance management level of the underground warehouse structure can be improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of a system architecture connection according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: an operation and maintenance monitoring system for an underground warehouse building structure based on the Internet of things comprises a specified underground warehouse dividing module, a wall quality information analysis module, a structural performance state monitoring module, an operation and maintenance abnormality feedback prompting module and a building information base.
The specified underground warehouse dividing module is respectively connected with the wall quality information analysis module and the structural performance state monitoring module, the wall quality information analysis module and the structural performance state monitoring module are both connected with the operation and maintenance abnormality feedback prompt module, and the building information base is respectively connected with the wall quality information analysis module, the structural performance state monitoring module and the operation and maintenance abnormality feedback prompt module.
The specified underground warehouse dividing module is used for dividing the specified underground warehouse according to the equal area to obtain each warehouse subarea.
The wall quality information analysis module is used for analyzing the wall quality information of each warehouse subarea under a set monitoring period and calculating the wall quality abnormality degree index of each warehouse subarea.
Specifically, the analyzing wall quality information of each warehouse subarea under a set monitoring period includes the following specific analysis processes: sampling points are distributed on all warehouse subareas, so that wall thickness values corresponding to all sampling points of all warehouse subareas are collected and countedWherein i is denoted by the number of each warehouse sub-area, < >>M represents the number of warehouse subregions, j represents the number of each sampling point, +.>N is expressed as the number of sampling points.
It should be noted that, above-mentioned collection and statistics each wall thickness value that sampling point that each warehouse subregion corresponds, the equipment that uses is wall thickness measuring apparatu, less wall thickness probably leads to structural strength not enough, can't bear external load and earthquake power, influence stability and the security of wall body from this, and the thickness of wall body is too big can influence the availability factor of warehouse, and more materials and labour are needed, increase construction cost, consequently, need carry out the analysis to the thickness of wall body, make the thickness of wall body and the wall body quality of warehouse reach better matching effect, increase the security of underground warehouse.
Extracting wall body reference thickness values of all warehouse subareas from building information baseCalculating the wall thickness fitting coefficient of each warehouse subarea>The calculation formula is as follows: />Wherein->Expressed as a correction factor corresponding to a predefined wall thickness value.
Acquiring the construction and transportation accumulation years of each warehouse subareaInitial wall compressive strength value +.>And initial wall tensile Strength value->Simultaneously extracting compressive strength values (about) of the broken wall corresponding to unit construction service life of each predefined warehouse subarea>And the tensile strength value of the broken wall body>。
It should be noted that, the above-mentioned construction and transportation accumulated years, the initial wall compressive strength value and the initial wall tensile strength value of each warehouse subregion are obtained through a warehouse building recording system, and the actual compressive strength and tensile strength of the wall of the warehouse are analyzed to predict the performance of the wall under the condition of bearing load or stress, so that the damage and damage of the wall structure are prevented, measures are taken in time to strengthen the wall, and the stability of the wall is ensured.
Calculating the wall body application stability coefficient of each warehouse subareaThe calculation formula is as follows:wherein->And->The operation stability evaluation factors are respectively expressed as predefined wall compressive strength values and wall tensile strength values. Obtaining the maximum strain force and the minimum strain force of the wall body of each sampling point of each warehouse subarea under a set monitoring period, and obtaining the wall body strain force difference +/+/corresponding to each sampling point of each warehouse subarea through difference processing>Simultaneously extracting wall body permission strain differences corresponding to predefined warehouse subareas。
The method for acquiring the maximum strain force and the minimum strain force of the wall body of each sampling point of each warehouse subarea under the set monitoring period is characterized in that the strain sensor is used for analyzing the strain force of the wall body, so that whether the wall body is close to or exceeds the bearing limit can be judged, the damage and the damage of the wall body structure can be prevented, if the strain force exceeds the safety range, the instability and the collapse of the wall body can be caused, and therefore the analysis of the strain force of the wall body is necessary, and the safety and the stability of the warehouse can be improved.
Calculating the wall strain force stability coefficient of each warehouse subareaThe calculation formula is as follows:wherein->Expressed as a correction factor corresponding to a predefined wall strain difference.
And acquiring three-dimensional images of all the warehouse subareas, extracting the wall height values of all the sampling points of all the warehouse subareas at the current monitoring time point, simultaneously extracting initial three-dimensional images of all the warehouse subareas from a building information base, acquiring the wall initial height values corresponding to all the sampling points of all the warehouse subareas, and obtaining the wall height differences corresponding to all the sampling points of all the warehouse subareas through difference processing.
The method includes the steps of collecting three-dimensional images of all warehouse subareas, scanning the warehouse by using a laser scanner, obtaining a large amount of point cloud data, and processing and analyzing the point cloud data to generate the three-dimensional images of the warehouse.
Further, the wall quality abnormality degree index of each warehouse subarea comprises the following specific analysis processes:
according to the height difference of the wall corresponding to each sampling point of each warehouse subareaSimultaneously acquiring the accumulated operation and maintenance years of the appointed underground warehouse, and extracting the wall permissible deviation height difference corresponding to the predefined unit operation and maintenance years>。
It should be noted that the above-mentioned cumulative operation and maintenance period of the specified underground warehouse is obtained from the warehouse building recording system, the building and operation cumulative period is the cumulative period from the time point of starting building of the underground warehouse to the current monitoring time point, and the cumulative operation and maintenance period is the cumulative period from the time point of starting application of the underground warehouse to the current monitoring time point.
Calculating wall settlement coincidence coefficients of all warehouse subareasThe calculation formula is as follows:wherein->Represented as a cumulative operational age of a given underground warehouse,expressed as a coincidence assessment factor corresponding to a predefined wall height difference.
It should be noted that, the above-mentioned wall settlement coincidence coefficient of each warehouse subregion that calculates, when the wall body subsides, can bear extra pressure and meeting an emergency, probably lead to wall body fracture, destruction or deformation, this kind of structural damage can influence bearing capacity and the stability of wall body to the risk that groundwater permeated to the warehouse is inside can appear, can cause harm to goods, equipment and the structure in the warehouse, also can produce negative effect to the overall stability of warehouse simultaneously, consequently need monitor the subsidence condition of wall body, ensure that the wall body of underground warehouse keeps steady state, ensure underground warehouse's stability.
Identifying and counting the vibration times of the wall body of each warehouse subarea under a set monitoring periodSimultaneously monitoring and extracting wall vibration amplitude values of all warehouse subareas in all vibration, extracting maximum vibration amplitude value and minimum vibration amplitude value of the wall from the wall vibration amplitude values, and dividing the wall vibration amplitude valuesLet it be->And->。
It should be noted that, the above-mentioned identification and statistics each warehouse subregion is the wall body vibration number of times under the monitoring cycle that sets for and monitor and draw each warehouse subregion at each vibrating wall body vibration amplitude, the equipment that uses is vibration sensor, wall body vibration can apply extra stress and pressure for the wall body, possibly lead to wall body fracture, warp or collapse, if the wall body can not effectively absorb and disperse vibration energy, will increase the wall body and receive the risk of damaging, and vibration can cause the resonance effect of wall body, make sound propagate faster in the wall body, from this increase indoor noise level, therefore need to carry out the analysis to wall body vibration, ensure that wall body quality is normal state, ensure underground warehouse's safety.
Calculating the wall vibration influence degree coefficient of each warehouse subareaThe calculation formula is as follows:wherein->Expressed as monitoring period duration +.>Expressed as predefined wall permissible vibration frequency, +.>Correction factor corresponding to the set vibration frequency, < ->And the set unit wall vibration difference value is expressed as an influence factor corresponding to the set unit wall vibration difference value.
Specifically, each warehouse subareaThe wall quality abnormality degree index of the wall body is calculated by the following formula:wherein->Wall quality abnormality degree index expressed as i-th warehouse subregion, +.>、/>、/>、/>And->The weight factors are respectively expressed as the set wall thickness suitable coefficient, the wall application stable coefficient, the wall strain force stable coefficient, the wall settlement conforming coefficient and the wall vibration influence degree coefficient.
In a specific embodiment, the method and the system can accurately reflect the quality condition of the wall body and provide more scientific data support for the operation and maintenance abnormality assessment value of the subsequent comprehensive analysis structure by analyzing the wall body quality information of each warehouse subarea in a set monitoring period and calculating the wall body quality abnormality degree index of each warehouse subarea and finely analyzing the related parameters of the wall body quality.
The structural performance state monitoring module is used for monitoring the structural performance state of each warehouse subarea and analyzing the structural performance abnormality degree index of each warehouse subarea.
Specifically, the monitoring of the structural performance state of each warehouse subarea includes the following specific analysis processes:
obtaining maximum wall temperature values of sampling points of all warehouse subareas under a set monitoring periodExtracting wall body reference temperature values of all warehouse subareas from a building information base>。
It should be noted that, the above-mentioned obtaining the maximum temperature value of the wall body of each sampling point of each warehouse subregion under the monitoring period that sets for, the equipment that uses is infrared sensor, and the too high or too low equipment that probably reflects in the underground warehouse breaks down or damages, influences the storage effect of article, and high temperature environment can lead to inflammable article to burn, and low temperature environment can lead to some articles to become unstable and easy explosion, therefore need to analyze the temperature in the underground warehouse, can help maintaining the quality and the safety of storing article and the stability of underground warehouse.
Calculating wall temperature influence assessment coefficients of all warehouse subareasThe calculation formula is as follows:wherein->The influence factor corresponding to the set unit wall temperature difference is expressed as +.>Expressed as a predefined permissible wall temperature difference, +.>And the correction factor is indicated as a correction factor corresponding to the preset wall temperature difference.
And positioning and extracting the areas of each defective area of the wall body of each warehouse subarea and the distance between the center position point of each defective area and the center point of the corresponding warehouse subarea according to the three-dimensional image of each warehouse subarea.
The method for positioning and extracting the areas of the defect areas of the wall bodies of the warehouse subareas and the distances between the center position points of the defect areas and the center points of the corresponding warehouse subareas comprises the following specific extraction processes: positioning each defective area of the wall body in each warehouse subarea through the three-dimensional image of each warehouse subarea, dividing the defective area of the wall body from the whole image by using an image dividing algorithm according to the characteristics of the defective area of the wall body, calculating the area of the defective area of the wall body by using an area calculating algorithm, obtaining the center point of the defective area of the wall body according to the boundary information of the defective area of the wall body, and positioning the position coordinates of the center point of each warehouse subarea according to the three-dimensional image of each warehouse subarea, thereby obtaining the distance between the center point of each defective area and the center point of each warehouse subarea.
Further, the structural performance abnormality degree index of each warehouse subarea comprises the following specific analysis processes:
according to the area of each defective area of the wall body of each warehouse subareaAnd the distance between the centre point of each defective area and the centre point of the warehouse sub-area +.>Wherein v is denoted by the number of each defective area, ">W is expressed as the number of defective areas while defective area reference adaptation center spacing distance of each warehouse sub-area is extracted from the building information base>。
Calculating wall defect influence assessment coefficients of all warehouse subareasThe calculation formula is as follows:wherein->Wall structure interference factor expressed as predefined unit defect area correspondence +.>Expressed as a correction factor corresponding to a predefined wall defect.
It should be noted that, the above calculation of the wall defect influence assessment coefficient of each warehouse sub-area will lead to the decrease of the intensity of the wall if the area of the defect area is too large, so as to reduce the bearing capacity thereof and increase the risks of deformation and damage of the structure, while if the distance between the center point of the defect area and the center point of the warehouse sub-area is too small, the area of the defect area is too concentrated, so as to increase the risk of damage of the underground warehouse structure, so as to reduce the tightness and waterproof performance of the wall, further increase the risks of problems such as wetting, corrosion, mildew and the like of articles in the warehouse, so that the wall defect has an important influence on the structural performance of the underground warehouse, and the real-time monitoring of the defect area of the wall can ensure the structural safety and stability of the underground warehouse.
According to the three-dimensional image of each warehouse subarea and the initial three-dimensional image of each warehouse subarea, obtaining an apparent image and an initial apparent image corresponding to each metal component of each warehouse subarea, and comparing to obtain apparent damage areas corresponding to each metal component of each warehouse subareaWherein p represents the number of each metal member, < >>Q represents the number of metal members.
The above metal members of each warehouse subarea include, but are not limited to, steel columns, steel beams, steel plates, and steel pipes.
Extracting corresponding permitted damage area of each metal component from building information baseCalculating metal damage area influence assessment coefficient of each warehouse subarea>The calculation formula is as follows: />Wherein->Expressed as a factor of influence corresponding to a predefined area of damage to the metal member.
It should be noted that, the above calculation of the metal damage area influence evaluation coefficient of each warehouse subarea, the apparent damage area of the metal member may cause the reduction or deformation of the cross section thereof, the buckling, the increase of deflection, the deformation or the damage of the member may be easily caused, the strength and the rigidity of the metal member may be reduced, the bearing capacity of the metal member may be reduced, the durability of the metal member may be affected, the risk of the damage of the underground warehouse structure may be greatly increased, and the metal member with a larger damage area may have a potential hazard, and may have a potential threat to the use and the safety of personnel of the underground warehouse, so in order to ensure the stability of the underground warehouse and the safety of personnel, the apparent damage area of the metal member of the underground warehouse needs to be analyzed.
Specifically, the structural performance abnormality degree index of each warehouse subarea is calculated according to the following formula:wherein->Structural performance abnormality degree index expressed as the ith warehouse sub-area, +.>、/>And->Respectively representing the set wall temperature influence evaluation coefficient, the wall defect influence evaluation coefficient and the weight corresponding to the metal damage area influence evaluation coefficient.
In a specific embodiment, the structural performance state of each warehouse subarea is monitored, the structural performance abnormality degree index of each warehouse subarea is analyzed, and the defects of each warehouse subarea and the metal components are judged, so that the structural performance of the underground warehouse is subjected to a more detailed parameter evaluation result, and the evaluation accuracy of the subsequent structural operation and maintenance abnormality is improved.
The operation and maintenance abnormal feedback prompt module is used for comprehensively analyzing the structure operation and maintenance abnormal evaluation values of all warehouse subareas and carrying out operation and maintenance abnormal feedback prompt.
Specifically, the abnormal evaluation value of the structure operation and maintenance of each warehouse subarea comprises the following specific analysis processes:
according to the accumulated operation and maintenance years of the appointed underground warehouseSimultaneously acquiring the type of the storage main body of the appointed underground warehouse, and extracting the structural operation and maintenance abnormality limit value of the unit accumulated operation and maintenance years of the storage main body of the appointed underground warehouse from the building information base>。
It should be noted that the above-described acquisition specifies an underground warehouse storage body type, wherein the underground warehouse storage body type includes, but is not limited to, a refrigerated warehouse, a hazardous materials warehouse, an overhead warehouse, and a retail warehouse.
According to the wall quality abnormality degree index of each warehouse subareaAnd structural abnormality degree index->Calculating the structure of each warehouse subareaWielding abnormality evaluation value ++>The calculation formula is as follows: />Wherein->And->Respectively representing the weight factors corresponding to the set wall quality abnormality degree index and the structural performance abnormality degree index.
Further, the operation and maintenance abnormality feedback prompt is performed, and the specific analysis process is as follows:
comparing the structure operation and maintenance abnormality evaluation value of each warehouse subarea with a preset structure operation and maintenance abnormality evaluation threshold, and if the structure operation and maintenance abnormality evaluation value of a warehouse subarea is higher than the structure operation and maintenance abnormality evaluation threshold, carrying out operation and maintenance abnormality feedback prompt on the warehouse subarea.
In a specific embodiment, the method and the system comprehensively analyze the structure operation and maintenance abnormality evaluation values of the warehouse subareas, carry out operation and maintenance abnormality feedback prompt, and comprehensively analyze the wall quality and the structure performance of the underground warehouse according to the accumulated operation and maintenance years and the preset structure operation and maintenance abnormality limit value of the underground warehouse, so that the structure operation and maintenance abnormality evaluation values of the warehouse subareas are more accurate, and can be helpful for providing better storage conditions for warehouse objects and improving the operation and maintenance management level of the underground warehouse structure.
The building information base is used for storing wall body reference thickness values, initial three-dimensional images, wall body reference temperature values and defect area reference adaptation center interval distances of all warehouse subareas, storing corresponding permitted damage areas of all metal components, and further storing structural operation and maintenance abnormal limit values of unit accumulated operation and maintenance years of a designated underground warehouse storage main body.
In a specific embodiment, the invention provides the operation and maintenance monitoring system for the building structure of the underground warehouse based on the Internet of things, which divides the underground warehouse into warehouse subareas, sequentially carries out targeted analysis on the wall quality and the structural performance of each underground warehouse, provides more scientific and reliable data basis for carrying out operation and maintenance abnormality feedback prompt subsequently, has comprehensive applied parameters, reduces errors of numerical analysis processing, can timely master the operation and maintenance conditions of the building structure of the underground warehouse, and can ensure the storage safety of storage objects and the structural reliability of the underground warehouse.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (5)
1. An operation and maintenance monitoring system for an underground warehouse building structure based on the Internet of things, which is characterized by comprising:
the appointed underground warehouse dividing module is used for dividing the appointed underground warehouse according to the equal area to obtain each warehouse subarea;
the wall quality information analysis module is used for analyzing the wall quality information of each warehouse subarea in a set monitoring period and calculating the wall quality abnormality degree index of each warehouse subarea;
the structural performance state monitoring module is used for monitoring the structural performance state of each warehouse subarea and analyzing the structural performance abnormality degree index of each warehouse subarea;
the operation and maintenance abnormal feedback prompt module is used for comprehensively analyzing the structure operation and maintenance abnormal evaluation values of all warehouse subareas and carrying out operation and maintenance abnormal feedback prompt;
the building information base is used for storing wall body reference thickness values, initial three-dimensional images, wall body reference temperature values and defect area reference adaptation center interval distances of all warehouse subareas, storing corresponding permitted damage areas of all metal components, and storing structural operation and maintenance abnormal limit values for designating accumulated operation and maintenance years of units to which the storage main body of the underground warehouse belongs;
the structural performance state of each warehouse subarea is monitored, and the specific analysis process is as follows: obtaining wall maximum temperature WD of each sampling point of each warehouse subarea under a set monitoring period ij Extracting wall body reference temperature WD of each warehouse subarea from the building information base i 'A'; calculating wall temperature influence assessment coefficient omega of each warehouse subarea i The calculation formula is as follows:
，
where i is denoted as the number of each warehouse sub-area, i=1, 2,3,..m, m is the number of warehouse sub-areas, j is the number of each sampling point, j=1, 2,3,..n, n is the number of sampling points, d 1 The delta WD is expressed as a predefined allowable wall temperature difference, d 2 The correction factor is expressed as a correction factor corresponding to a preset wall temperature difference; according to the three-dimensional images of all warehouse subareas, positioning and extracting the areas of all defect areas of the wall bodies of all warehouse subareas and the distances between the central position points of all defect areas and the central points of the corresponding warehouse subareas;
the structural performance abnormality degree index of each warehouse subarea comprises the following specific analysis processes: according to the area S of each defective area of the wall body of each warehouse subarea iv And the distance L between the center point of each defective area and the center point of the warehouse subarea iv Where v is denoted as the number of each defective area, v=1, 2,3,..and w, w is denoted as the number of defective areas, while the defective area reference adaptation center spacing distance L of each warehouse sub-area is extracted from the building information base i 'A'; calculating the wall defect influence evaluation coefficient phi of each warehouse subarea i The calculation formula is as follows:
wherein f 1 Wall structure interference factor, f, expressed as a predefined unit defect area correspondence 2 Representing a correction factor corresponding to the predefined wall defect; according to the three-dimensional image of each warehouse subarea and the initial three-dimensional image of each warehouse subarea, obtaining an apparent image and an initial apparent image corresponding to each metal component of each warehouse subarea, and comparing to obtain an apparent damaged area SH corresponding to each metal component of each warehouse subarea ip Wherein p is represented as the number of each metal member, p=1, 2,3,..q, q is represented as the number of metal members; extracting the corresponding permitted damage area SH of each metal component from the building information base p ' calculating the metal damage area influence assessment coefficient theta of each warehouse subarea i The calculation formula is as follows:
wherein g 1 An influence factor corresponding to a predefined metal member damage area;
the structural performance abnormality degree index of each warehouse subarea comprises the following specific calculation formula:
wherein the method comprises the steps ofExpressed as structural performance abnormality index of the ith warehouse sub-area, U 1 、U 2 And U 3 Respectively representing the set wall temperature influence evaluation coefficient, the wall defect influence evaluation coefficient and the weight corresponding to the metal damage area influence evaluation coefficient;
the structure operation and maintenance abnormal evaluation values of all warehouse subareas comprise the following specific analysis processes: according to the specificationCumulative operational life NX of underground warehouse 0 Simultaneously acquiring the type of a storage main body of the appointed underground warehouse, and extracting a structural operation and maintenance abnormal limit value χ' of the unit accumulated operation and maintenance years of the storage main body of the appointed underground warehouse from a building information base; according to the wall quality abnormality degree index sigma of each warehouse subarea i And structural performance abnormality indexCalculating structure operation and maintenance abnormality evaluation value xi of each warehouse sub-region i The calculation formula is as follows:
wherein h is 1 And h 2 Respectively representing the weight factors corresponding to the set wall quality abnormality degree index and the structural performance abnormality degree index;
the construction-compliance cumulative period is a cumulative period from a point in time when the underground storage starts construction to a point in time when current monitoring is performed.
2. The system for monitoring the operation and maintenance of the building structure of the underground warehouse based on the internet of things according to claim 1, wherein: the wall quality information of each warehouse subarea under a set monitoring period is analyzed, and the concrete analysis process is as follows: sampling points are distributed on all warehouse subareas, so that wall thickness values HD corresponding to all sampling points of all warehouse subareas are collected and counted ij Extracting wall body reference thickness value HD of each warehouse subarea from building information base i ' calculating the wall thickness suitable coefficient alpha of each warehouse subarea i The calculation formula is as follows:
，
wherein a is 1 Representing a correction factor corresponding to a predefined wall thickness value; acquiring each warehouseRegional construction should be carried out and the cumulative age JL i Initial wall compressive strength value KY i And an initial wall tensile strength value KL i Simultaneously extracting compressive strength value KY of broken wall corresponding to unit construction service life of each predefined warehouse subarea i And the tensile strength value KL of the broken wall i The method comprises the steps of carrying out a first treatment on the surface of the Calculating the wall body application stability coefficient epsilon of each warehouse subarea 1 The calculation formula is as follows:
wherein Z is 1 And Z 2 The operation stability evaluation factors are respectively expressed as predefined wall compressive strength values and wall tensile strength values; obtaining the maximum strain force and the minimum strain force of the wall body of each sampling point of each warehouse subarea under a set monitoring period, and obtaining the wall body strain force difference YB corresponding to each sampling point of each warehouse subarea through difference processing ij Simultaneously extracting wall body permission strain difference delta YB corresponding to each predefined warehouse subarea i 'A'; calculating the wall strain force stability coefficient eta of each warehouse subarea i The calculation formula is as follows:
wherein b 1 A correction factor corresponding to a predefined wall strain difference; and acquiring three-dimensional images of all the warehouse subareas, extracting the wall height values of all the sampling points of all the warehouse subareas at the current monitoring time point, simultaneously extracting initial three-dimensional images of all the warehouse subareas from a building information base, acquiring the wall initial height values corresponding to all the sampling points of all the warehouse subareas, and obtaining the wall height differences corresponding to all the sampling points of all the warehouse subareas through difference processing.
3. The system for monitoring the operation and maintenance of the building structure of the underground warehouse based on the internet of things according to claim 2, wherein: the wall quality abnormality degree index of each warehouse subarea comprises the following specific analysis processes:
according to the wall height difference GD corresponding to each sampling point of each warehouse subarea ij Meanwhile, the accumulated operation and maintenance years of the appointed underground warehouse are acquired, and the wall body allowable deviation height difference delta GD corresponding to the predefined unit operation and maintenance years is extracted; calculating wall settlement coincidence coefficient mu of each warehouse subarea i The calculation formula is as follows:
wherein NX 0 Expressed as cumulative operational years of a given underground warehouse, Y 1 The coincidence assessment factors are expressed as corresponding predefined wall height differences; identifying and counting wall vibration times CS of all warehouse subareas under set monitoring period i Simultaneously monitoring and extracting the vibration amplitude of the wall body of each warehouse subarea in each vibration, extracting the maximum vibration amplitude and the minimum vibration amplitude of the wall body from the vibration amplitude, and respectively marking the vibration amplitude and the minimum vibration amplitude as ZD (block diagram) i Upper part And ZD i Lower part(s) The method comprises the steps of carrying out a first treatment on the surface of the Calculating the wall vibration influence degree coefficient of each warehouse subareaThe calculation formula is as follows:
wherein T is 0 Expressed as the monitoring period duration, PL' expressed as the predefined wall allowable vibration frequency, c 1 A correction factor corresponding to the set vibration frequency, c 2 And the set unit wall vibration difference value is expressed as an influence factor corresponding to the set unit wall vibration difference value.
4. A system for monitoring the operation and maintenance of an underground warehouse building structure based on the internet of things according to claim 3, wherein: the wall quality abnormality degree index of each warehouse subarea is calculated according to the following formula:
，
wherein sigma i Wall quality abnormality degree index expressed as i-th warehouse subarea, X 1 、X 2 、X 3 、X 4 And X 5 The weight factors are respectively expressed as the set wall thickness suitable coefficient, the wall application stable coefficient, the wall strain force stable coefficient, the wall settlement conforming coefficient and the wall vibration influence degree coefficient.
5. The system for monitoring the operation and maintenance of the building structure of the underground warehouse based on the internet of things according to claim 1, wherein: the operation and maintenance abnormality feedback prompt is carried out, and the specific analysis process is as follows:
comparing the structure operation and maintenance abnormality evaluation value of each warehouse subarea with a preset structure operation and maintenance abnormality evaluation threshold, and if the structure operation and maintenance abnormality evaluation value of a warehouse subarea is higher than the structure operation and maintenance abnormality evaluation threshold, carrying out operation and maintenance abnormality feedback prompt on the warehouse subarea.
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