CN118313181A - Historical building protection condition assessment method for historical cultural block - Google Patents

Abstract

The invention discloses a historical building protection condition assessment method of a historical cultural neighborhood, which relates to the technical field of building protection assessment, and comprises the steps of constructing risk coefficients of buildings of all subareas, and marking all subareas according to the risk coefficients; simulating and testing the using states of the buildings in each subarea by using a block building digital twin model, performing multiple linear regression analysis after obtaining test data, and screening risk factors from environmental condition parameters according to analysis results; and giving a maintenance scheme for the block building by using the block building maintenance knowledge graph, testing the maintenance scheme and constructing the effectiveness of the maintenance scheme, optimizing the maintenance scheme by using an optimization algorithm if the effectiveness is lower than the expected effectiveness, and sequentially executing the optimized maintenance scheme according to the risk coefficient to maintain the building in each sub-area. And when the environmental conditions of the block building are abnormal, the block building can be processed in time when the block building possibly has problems, so that the safety of the block building is ensured.

Description

Historical building protection condition assessment method for historical cultural block

Technical Field

The invention relates to the technical field of building protection evaluation, in particular to a historical building protection condition evaluation method for a historical cultural block.

Background

The importance of historical architecture is not only its architectural artistic value, but also the historical cultural information they bear, as well as their cultural, artistic, scientific and social values. The buildings are often associated with important historical events and historical celebrities, and have historical cultural significance such as souvenir, education and the like. Meanwhile, the novel compound ecological agent also shows traditional culture, national characteristics, regional characteristics or time styles, and is an important material evidence for researching development history in the aspects of national and national politics, society, economy, ideas, culture, art, engineering technology and the like.

In the chinese patent of invention with application publication number CN109685362a, an intelligent network-based architecture heritage protection evaluation system is disclosed, comprising: a camera having a camera opening directed toward a marker provided on a building; a humidity sensor for detecting an ambient humidity of the building; the visible light image detector filters and images the visible light wave band of the outer wall of the building to be detected on the target surface of the visible light image detector through the filtering and imaging function of the visible light lens, and the obtained visible light image of the outer wall of the building to be detected is converted into image data; the infrared image detector filters and images the infrared wave band of the outer wall of the building to be detected on the target surface of the infrared image detector through the filtering and imaging function of the infrared lens to obtain an infrared image of the outer wall of the building, and the infrared image is converted into image data.

Combining the contents of the above applications and prior art:

When more historical buildings and corresponding historical relics exist in the historical cultural neighborhood, the historical buildings and the relics need to be maintained regularly or irregularly so as to avoid the damage of the historical buildings caused by artificial or natural environmental conditions and cause corresponding economic cultural losses; for example, the building is subject to sedimentation, deformation and even cracking, which in turn causes safety problems for the building; particularly, when the environment where the building is located is changed and abnormal, for example, when the air humidity is high, the environment temperature is high, even the salt content in the air is high, the risk of damage to the building is high, the current state of the building needs to be evaluated timely, whether the building needs to be maintained and the corresponding maintenance sequence are judged according to the evaluation result, but the existing evaluation method can output the evaluation result, and after the evaluation, the corresponding maintenance scheme is difficult to be quickly given according to the actual situation, so that the comprehensive evaluation of the protection state of the building is insufficient.

Therefore, the invention provides a historical building protection condition assessment method for a historical cultural block.

Disclosure of Invention

(One) solving the technical problems

Aiming at the defects of the prior art, the invention provides a historical building protection condition evaluation method of a historical cultural block, which screens risk factors from environmental condition parameters according to analysis results; and giving a maintenance scheme for the block building by using the block building maintenance knowledge graph, testing the maintenance scheme and constructing the effectiveness of the maintenance scheme, optimizing the maintenance scheme by using an optimization algorithm if the effectiveness is lower than the expected effectiveness, and sequentially executing the optimized maintenance scheme according to the risk coefficient to maintain the building in each sub-area. When the environmental condition of the block building is abnormal and the block building possibly has problems, the block building is processed timely, so that the safety of the block building is ensured, and the technical problem in the background technology is solved.

(II) technical scheme

In order to achieve the above purpose, the invention is realized by the following technical scheme: a historical building protection condition assessment method for historical cultural blocks divides a building area into a plurality of subareas, collects environmental condition data in each subarea and further constructs environmental condition coefficients of the building areaIf the environmental condition coefficientCollecting various data in a building area and training to construct a block building digital twin model beyond expectations;

after adjusting the environmental conditions in the building area, collecting various data of the block building in the subareas, and constructing risk coefficients of the block building in each subarea according to the block building state data According to the risk coefficientMarking each subarea; wherein the risk factorThe construction mode of (2) is as follows: settlement of buildingNumber of cracksPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ，， for the settlement of the i-th building, For the number of cracks of the ith building,，The number of the buildings in the subareas;

Presetting a test environment condition, performing simulation test on the use states of buildings in each subarea by using a block building digital twin model, performing multiple linear regression analysis after obtaining test data, and screening risk factors from environment condition parameters according to analysis results;

Identifying the block state data in the subarea, providing a maintenance scheme for the block building by a block building maintenance knowledge graph according to the identification result, testing the maintenance scheme by using a block building digital twin model, and acquiring corresponding test data;

Construction of validity of maintenance scheme from test data If the effectiveness isUnder the validity threshold, optimizing the maintenance scheme by using an optimization algorithm according to the risk coefficientAnd sequentially executing the optimized maintenance scheme, and maintaining the buildings in each subarea.

Further, an electronic map covering a building area is established, the building area is divided into a plurality of sub-areas on the electronic map, monitoring points are set in each sub-area, environmental conditions in the sub-areas are monitored at the monitoring points, and corresponding environmental condition data are acquired, and the method comprises the following steps: and (3) summarizing the collected data to construct a building environment condition set in the building area, wherein the air humidity, the environment temperature and the salt content in the air in each subarea.

Further, constructing corresponding environmental condition coefficients from environmental condition data within the set of building environmental conditionsIf the acquired environmental condition coefficientSending a data acquisition instruction to the outside beyond expectations; after receiving a data acquisition instruction, carrying out data acquisition in the building area, summarizing the data, constructing a building state data set in the building area, extracting part of data from the building state data set as sample data, training and testing an initial model by using the sample data, and training to construct a block building digital twin model.

Further, the environmental condition coefficientThe construction mode of (2) is as follows: to air humidityAmbient temperatureSalt mist concentrationPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ，，，， the number of subareas;

For the air humidity of the i-th sub-zone, Is a qualified standard value of the air humidity,For the ambient temperature of the ith sub-zone,Is a qualified standard value of the ambient temperature,For the salt spray concentration of the i-th sub-zone,Is a qualified standard value of the salt fog concentration.

Further, a plurality of uniformly distributed data acquisition points are respectively arranged in each subarea, data are respectively acquired in the subareas at each data acquisition point, and the acquired data are summarized to construct a block building state data set; constructing risk factors for each sub-region from a block building status data setRisk factor of sub-regionAnd if the risk threshold exceeds the preset risk threshold, a test instruction is sent to the outside.

Further, after receiving the test instruction, taking different conditions in the environmental conditions of the current block building as test environmental conditions, under the test environmental conditions, using the block building digital twin model to carry out simulation test on the use states of the buildings in each sub-area, and obtaining corresponding test data after a plurality of periods and a plurality of stages of tests.

Further, the risk coefficient obtained after the testAs a dependent variable, taking environmental condition parameters as independent variables, carrying out multiple linear regression analysis by combining test environmental conditions and test data, taking regression coefficients determined by the multiple linear regression analysis as the influence degree of each environmental condition parameter on the safety risk of the block building, and summarizing each environmental condition parameter and the corresponding influence degree;

If the influence degree of the environmental condition parameters exceeds the expected value, taking the environmental condition parameters as risk factors possibly causing building damage, summarizing a plurality of risk factors and influence degrees thereof, and sequentially adjusting the environmental condition parameters in the building area according to the risk factors.

Further, after the state data of the block building in each sub-area are obtained, the building state data are identified, and corresponding maintenance characteristics are obtained; constructing a block building maintenance knowledge graph by taking block building maintenance as a target word; according to the correspondence between the maintenance characteristics and the maintenance schemes, a maintenance scheme is given to the block building by a block building maintenance knowledge graph; after the maintenance scheme is acquired, whether the maintenance scheme can be tested by using a block building digital twin model, and summarizing the data acquired by the test to construct a test maintenance data set.

Further, the validity of the current maintenance scheme is constructed by the test maintenance data setIf the obtained validity degreeLess than expected, issuing a maintenance scheme optimization instruction to the outside; after receiving the scheme optimization instruction, the method improves the effectivenessAs an optimization target, optimizing each parameter of the current maintenance scheme by using an optimization algorithm to obtain an optimized maintenance scheme;

According to risk factors of each subarea Sequentially executing maintenance schemes; after the maintenance scheme is executed, an observation period comprising a plurality of observation nodes is set, building state data is collected in the observation period, and if the observation period is required to be restrained, the restraint mode is as follows:

wherein, To observe the number of nodes in a cycle,Is the time interval from the ith observation node to the jth observation node,Is the average time interval.

Further, the degree of effectivenessThe construction mode of (2) is as follows: acquiring risk factors at each test nodeAfter that, risk factors before and after the optimized maintenance scheme is executedOne-to-one alignment is performed according to the following formula:

wherein, For a validity intermediate value on the ith test node,For its mean, i is the test node number,，In order to test the number of nodes,AndThe risk factors on the ith node before and after maintenance,AndIs the corresponding mean value.

(III) beneficial effects

The invention provides a historical building protection condition assessment method for a historical cultural block, which has the following beneficial effects:

1. According to the environmental condition coefficient Whether the environmental condition of the block building is abnormal or not is evaluated and judged, if the environmental condition is abnormal, the block building is in a more abnormal environment, the risk of aging or damage is higher, and management staff can timely adjust various parameters of the environmental condition to protect the block of the building.

2. The digital twin model of the block building is trained and built on the basis of collected data, after environmental conditions are limited, the safety and the service life of the block building can be tested through the digital twin model of the block building, the prediction of the use state of the block building is realized, and the block building can be processed in advance when problems exist.

3. Construction of risk factorsRealizing the evaluation of the building state according to the risk coefficientThe size of the building is determined whether the current building needs to be maintained, and when the block building in each subarea needs to be maintained, the corresponding maintenance sequence can be determined, so that the process of maintaining one by one is realized.

4. The influence degree and the key degree of each environmental condition parameter are determined through multiple linear regression analysis, then risk factors in the environmental condition parameters are screened out, the influence degree of which environmental conditions can affect the neighborhood building is judged to be large according to the screened risk factors, and when the neighborhood building needs to be protected and maintained, a specific maintenance target and a specific sequence can be provided, so that the maintenance efficiency is improved.

5. The corresponding maintenance scheme is given to the block building by the block building maintenance knowledge graph, when the block building needs to be maintained, the corresponding maintenance scheme can be quickly obtained as a reference, the time for making the corresponding scheme is saved, and the maintenance efficiency is improved; and the maintenance scheme is subjected to simulation test through the digital twin model of the block building, whether the maintenance scheme can be verified through the simulation test, and the reliability of the maintenance scheme is determined.

6. According to the effectiveness degreeIf the maintenance scheme is feasible, the maintenance scheme is used as a target scheme, the possible problems of the block building are maintained after the target scheme is executed, and the alarm instruction is sent to the outside, so that when the environmental condition of the block building is abnormal and the block building is possible to have problems, the block building is processed timely, and the safety of the block building is ensured.

7. Optimizing a current maintenance scheme by using an optimization algorithm to obtain an optimization scheme capable of meeting requirements, and realizing effective maintenance of the block building after the optimization scheme is executed; after the maintenance scheme is executed, the invalid data acquisition process is reduced through the constraint of the observation nodes, so that the distribution of the observation nodes is more reasonable when the state of the block building is monitored and observed, and the monitoring and management efficiency is improved.

Drawings

FIG. 1 is a schematic flow chart of a method for evaluating the protection condition of a block building according to the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, the present invention provides a method for evaluating a historical building protection condition of a historical cultural block, comprising:

Step one, after a building area is divided into a plurality of subareas, collecting environmental condition data in each subarea and further constructing environmental condition coefficients of the building area If the environmental condition coefficientCollecting various data in a building area and training to construct a block building digital twin model beyond expectations;

The first step comprises the following steps:

Step 101, after determining a building area of a building to be protected, establishing an electronic map covering the building area, dividing the building area into a plurality of sub-areas on the electronic map, setting monitoring points in each sub-area, monitoring environmental conditions in the sub-areas at the monitoring points, and acquiring corresponding environmental condition data, wherein the step comprises the following steps: the air humidity, the ambient temperature and the salt content in the air in each subarea are summarized to construct a building environment condition set in a building area;

102, constructing corresponding environmental condition coefficients from environmental condition data in the building environmental condition junction set The mode is as follows: to air humidityAmbient temperatureSalt mist concentrationPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ，， the weight coefficients may be obtained with reference to a hierarchical analysis, ，The number of subareas; For the air humidity of the i-th sub-zone, Is a qualified standard value of the air humidity,For the ambient temperature of the ith sub-zone,Is a qualified standard value of the ambient temperature,For the salt spray concentration of the i-th sub-zone,Is a qualified standard value of the salt fog concentration;

Presetting a condition threshold according to historical data and management expectations of building safety; if the acquired environmental condition coefficient If the condition exceeds the expected condition, namely the condition threshold is exceeded, the condition that the aging or accelerated aging of the building is likely to occur under the current environment is indicated, the process is needed in time, and at the moment, a data acquisition instruction is sent to the outside;

When the system is used, when the block building is required to be maintained or protected, the environmental conditions of the block building are collected and monitored firstly, the environmental conditions of the block building are perceived and quantified through data collection, and after the environment conditions of the block building are determined to be abnormal, the system can be adjusted according to the conditions of the environment, so that the protection of the block building is realized;

Extracting part of parameters from the acquired data as representative parameters, correlating the representative parameters together, and constructing environmental condition coefficients by correlation Whether the environmental condition of the block building is abnormal or not is evaluated and judged, if the environmental condition is abnormal, the block building is in a more abnormal environment, and the risk of aging or damage is higher, so that an alarm instruction is sent to the outside, and according to the alarm instruction, a manager can timely adjust various parameters of the environmental condition to realize the protection of the block building;

Step 103, after receiving the data acquisition instruction, performing data acquisition in the building area, wherein the data acquisition comprises the following steps: collecting historical documents, drawings, photos and historical data of blocks and buildings, and investigating the buildings: recording the appearance characteristics, the internal structure, the material use, the decoration style and the like of the building; checking the structural stability, damage degree and material aging condition of the building, and acquiring corresponding data; collecting the geographic position, traffic condition, adjacent buildings and community environment of the neighborhood, and acquiring corresponding data; collecting the application, occupation condition, use frequency, material specification data and the like of each building, wherein a measuring tool such as a laser range finder or a level meter is used for accurately measuring the building size, and digital photography and 3D scanning technology are adopted for recording the current situation of the building;

Summarizing the data to construct a building state data set in a building area, constructing an initial model by using a nerve convolution network, extracting part of data from the building state data set as sample data, training and testing the initial model by using the sample data, and training to construct a block building digital twin model;

in use, the contents of steps 101 to 103 are combined:

The digital twin model of the block building is trained and built on the basis of collected data, after environmental conditions are limited, the safety and the service life of the block building can be tested through the digital twin model of the block building, the prediction of the use state of the block building is realized, and the block building can be processed in advance when problems exist.

Combining the content of the above application and the content of the prior art:

When more historical buildings and corresponding historical relics exist in the historical cultural neighborhood, the historical buildings and the relics need to be maintained regularly or irregularly so as to avoid the damage of the historical buildings caused by artificial or natural environmental conditions and cause corresponding economic cultural losses; particularly, when the environment where the building is located is changed and abnormal, for example, when the air humidity is high, the environment temperature is high, even the salt content in the air is high, the risk of damage to the building is high, the current state of the building needs to be evaluated timely, whether the building needs to be maintained and the corresponding maintenance sequence are judged according to the evaluation result, but the existing evaluation method can output the evaluation result, and after the evaluation, the corresponding maintenance scheme is difficult to be quickly given according to the actual situation, so that the comprehensive evaluation of the protection state of the building is insufficient.

Step two, after the environmental conditions in the building area are adjusted, collecting various data of the block building in the subareas, and constructing risk coefficients of the block building according to the block building state dataAccording to the risk coefficientMarking each subarea;

the third step comprises the following steps:

step 201, under different environmental conditions, respectively setting a plurality of uniformly distributed data acquisition points in each sub-area, and respectively acquiring data in each sub-area at each data acquisition point, wherein the steps comprise; structural monitoring data: the method comprises deformation monitoring data such as displacement, settlement and cracks of the building and mechanical monitoring data such as stress and strain. These data are used to evaluate the stability and safety of the building structure; material detection data: periodically detecting materials used in the building, such as concrete strength, steel bar corrosion degree and the like, so as to ensure that the materials meet design requirements, and summarizing collected data to construct a neighborhood building state data set;

step 202, evaluating the safety of each building in the subarea by taking the settlement and crack of the building as representative parameters, and constructing risk coefficients of each subarea by the neighborhood building state data set According to the risk coefficientMarking each subarea; wherein the settlement amount of the buildingNumber of cracksPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ， the weight coefficient can be obtained by referring to an analytic hierarchy process; for the settlement of the i-th building, For the number of cracks of the ith building,，The number of the buildings in the subareas;

Risk factor of sub-region If the risk exceeds a preset risk threshold, a test instruction is sent to the outside;

In use, the contents of steps 201 to 203 are combined:

after dividing a block into a plurality of sub-areas, collecting data and carrying out corresponding analysis, constructing corresponding risk coefficients Realizing the evaluation of the building state according to the risk coefficientThe size of the building is determined whether the current building needs to be maintained, and when the block building in each subarea needs to be maintained, the corresponding maintenance sequence can be determined, so that the process of maintaining one by one is realized.

Step three, presetting a test environment condition, performing simulation test on the use states of the buildings in each subarea by using a block building digital twin model, performing multiple linear regression analysis after obtaining test data, and screening risk factors from environment condition parameters according to analysis results;

the third step comprises the following steps:

Step 301, after receiving a test instruction, taking different conditions in the environmental conditions of the current block building as test environmental conditions, under the test environmental conditions, using a block building digital twin model to perform simulation test on the use states of the buildings in each sub-area, and obtaining corresponding test data after a plurality of periods and a plurality of stages of tests, wherein the method specifically comprises the following steps:

Deformation monitoring data: the stability of the structure is evaluated by measuring the magnitude and change of the deformation of the structure by installing a deformation sensor or the like. Crack detection data: checking whether cracks exist in each part of the building, and evaluating the width, length and depth of the cracks to judge the structural integrity; sedimentation monitoring data: monitoring the settlement of the foundation of the building to evaluate the stability of the foundation and the safety of the building; seismic safety assessment data: according to the principle and method of earthquake engineering, the safety of the building under the action of earthquake is evaluated.

302, Acquiring simulation analysis data, and then testing the risk coefficient acquiredAs a dependent variable, taking environmental condition parameters as independent variables, carrying out multiple linear regression analysis by combining test environmental conditions and test data, taking regression coefficients determined by the multiple linear regression analysis as the influence degree of each environmental condition parameter on the safety risk of the block building, and summarizing each environmental condition parameter and the corresponding influence degree;

Step 303, setting an influence threshold value for each environmental condition parameter in advance according to the historical data and the safety management expectation of the block building; if the influence degree of the environmental condition parameters exceeds the expected value, taking the environmental condition parameters as risk factors possibly causing building damage, summarizing a plurality of risk factors and influence degrees thereof, and sequentially adjusting the environmental condition parameters in the building area according to the risk factors;

In use, the contents of steps 301 to 303 are combined:

After simulation test, the influence degree and the key degree of each environmental condition parameter are determined through multiple linear regression analysis by combining the existing historical data, then risk factors in the environmental condition parameters are screened out, the influence degree of which environmental conditions can affect the block building is judged to be large according to the screened risk factors, and when the block building needs to be protected and maintained, a definite maintenance target and a definite sequence can be provided, so that the maintenance efficiency can be improved.

Step four, identifying the block state data in the subareas, giving a maintenance scheme for the block buildings by a block building maintenance knowledge graph according to the identification result, testing the maintenance scheme by using a block building digital twin model, and acquiring corresponding test data;

the fourth step comprises the following steps:

Step 401, after obtaining the state data of the block building in each sub-area, presetting maintenance standards according to the requirements for building safety management, identifying the building state data, and obtaining corresponding maintenance characteristics; constructing a block building maintenance knowledge graph after the entity relationship is built through deep retrieval and the entity relationship by taking block building maintenance as a target word; using the trained matching model, and giving a maintenance scheme for the block building by using a block building maintenance knowledge graph according to the correspondence between the maintenance characteristics and the maintenance scheme;

Step 402, after the maintenance scheme is acquired, whether the maintenance scheme can be tested by using a block building digital twin model, wherein the test data comprise deformation monitoring data, crack detection data, settlement monitoring data and the like of a building, and the data acquired by the test are summarized to construct a test maintenance data set;

in use, the contents of steps 401 and 402 are combined:

After the block building digital twin model is used for carrying out simulation test on the block building, the block building in each subarea is collected, corresponding maintenance characteristics are obtained through data identification, and a corresponding maintenance scheme is given for the block building by a block building maintenance knowledge graph, so that when the block building needs to be maintained, the corresponding maintenance scheme can be quickly obtained as a reference, the time for making the corresponding scheme can be saved, and the maintenance efficiency is improved; and the maintenance scheme is subjected to simulation test through the digital twin model of the block building, whether the maintenance scheme can be verified through the simulation test, and the reliability of the maintenance scheme is determined.

Step five, constructing the validity of the maintenance scheme from the test dataIf the effectiveness isThe maintenance scheme is optimized by using an optimization algorithm under the effectiveness threshold, and the optimized maintenance scheme is executed to maintain the neighborhood building according to the risk coefficientThe buildings in all the subareas are maintained in sequence;

The fifth step comprises the following steps:

Step 501, constructing validity of current maintenance scheme from test maintenance data set In terms of effectivenessJudging whether the current maintenance scheme can be operated or not, wherein the mode is as follows: acquiring risk factors at each test nodeAfter that, risk factors before and after the optimized maintenance scheme is executedOne-to-one alignment is performed according to the following formula:

wherein, For a validity intermediate value on the ith test node,For its mean, i is the test node number,，In order to test the number of nodes,AndThe risk factors on the ith node before and after maintenance,AndIs the corresponding average value;

presetting a validity threshold according to historical data and maintenance expectations of block buildings, and according to the validity Judging whether the current maintenance scheme is valid or not, if so, obtaining the validity degreeIf the effectiveness threshold is exceeded, the current maintenance scheme effect can reach the expectations, and if the effectiveness threshold is not reached, a maintenance scheme optimization instruction is sent to the outside;

when in use, the corresponding validity is constructed by the test number Then, according to the effectiveness degreeIf the maintenance scheme is feasible, the maintenance scheme can be used as a target scheme, and after the target scheme is executed, problems possibly existing in the block building, such as settlement, structural safety change, structural corrosion and the like, can be maintained, and when the environmental condition of the block building is abnormal and the block building possibly has problems, the problems are timely processed by sending an alarm instruction to the outside, so that the safety of the block building is ensured.

Step 502, after receiving the scheme optimization instruction, to improve the effectivenessAs an optimization target, optimizing each parameter of the current maintenance scheme by using an optimization algorithm to obtain an optimized maintenance scheme; according to risk factors of each subareaThe maintenance scheme is sequentially executed, that is, repair, reinforcement, functional transformation or other protection work can be realized for the building for the corresponding subareas according to the maintenance scheme;

step 503, after executing the maintenance scheme, setting an observation period including a plurality of observation nodes, collecting building state data in the observation period, and periodically reevaluating building conditions according to the collected building state data so as to adjust the maintenance scheme in time; if the observation period is required to be constrained, the constraint mode is as follows:

wherein, To observe the number of nodes in a cycle,Is the time interval from the ith observation node to the jth observation node,Is the average time interval.

In use, the contents of steps 501 and 502 are combined:

If the acquired maintenance scheme is insufficient in feasibility, after identifying each parameter of the acquired maintenance scheme, optimizing the current maintenance scheme by using an optimization algorithm, so as to acquire an optimization scheme capable of meeting the requirements, and after executing, realizing effective maintenance of the block building; after the maintenance scheme is executed, the invalid data acquisition process is reduced through the constraint of the observation nodes, so that the distribution of the observation nodes is more reasonable when the state of the block building is monitored and observed, and the monitoring and management efficiency is improved.

It should be noted that: the construction method of the block building maintenance knowledge graph comprises the following steps:

and (3) data collection: various data related to the maintenance of the neighborhood building is collected, which may include structural information of the building, maintenance history, material usage, design documentation, maintenance records, pictures, videos, and the like. The quality and accuracy of the data are ensured, and the data are cleaned and preprocessed to eliminate duplicate, erroneous or irrelevant information.

Information extraction: entities, attributes and relationships associated with building maintenance are extracted from the collected data. For example, entities may include buildings, materials, equipment, maintenance personnel, and the like; attributes may include age of the building, type of structure, maintenance frequency, etc.; the relationships may include relationships between the building and the materials it uses, relationships between service personnel and the building it maintains, and so on. Natural Language Processing (NLP) and machine learning techniques are used to assist the information extraction process, such as using Named Entity Recognition (NER) to identify entities, and relational extraction techniques are used to identify relationships between entities.

Knowledge fusion: knowledge extracted from different data sources is integrated to solve the problems of inconsistency and redundancy in the data. For example, it may be desirable to merge the same building described in different data sources, or normalize attributes that have the same meaning but different expression. The knowledge fusion technology is used for eliminating contradiction and ambiguity, and the information in the knowledge graph is ensured to be accurate and consistent.

Knowledge modeling: and constructing a unified building maintenance knowledge graph schema specification according to the characteristics and requirements of the building maintenance field. This includes defining the types of entities, attributes and relationships and their associations between them. An Ontology (Ontology) is used to manage the model layer of the knowledge-graph, building a skeleton of the knowledge-graph by defining concepts and relationships between the concepts.

Knowledge storage and query: the extracted and integrated knowledge is stored in a graph database or other suitable data structure for efficient querying and analysis. And proper query interfaces and tools are designed, so that a user can conveniently search and utilize information in the knowledge graph.

And (5) iterative updating: with the continuous addition of new data and the continuous update of knowledge, the knowledge graph needs to be iteratively updated. This includes adding new entities, attributes and relationships, updating the attributes and relationships of existing entities, and deleting information that is no longer needed. And (3) carrying out quality assessment on the knowledge graph at regular intervals to ensure the accuracy and the integrity of the knowledge graph.

Visualization and interaction: the knowledge graph is presented in a graphical mode by using a visualization technology, so that a user is helped to more intuitively understand and use information in the knowledge graph.

Analytic Hierarchy Process (AHP) is a decision method that decomposes complex problems into multiple layers or factors and evaluates the relative importance of these factors by qualitative and quantitative analysis. The method is proposed by the American operation sponsor Sati in the beginning of the 70 th century, and is mainly used for solving the decision-making problem of a target system with layered staggered evaluation indexes.

The basic steps of the analytic hierarchy process include: establishing a hierarchical structure model: the decision target, the considered factors (decision criteria) and the decision object are divided into a highest layer (target layer), a middle layer (criterion layer) and a lowest layer (scheme layer) according to the interrelationship between the decision target, the considered factors (decision criteria) and the decision object, and a hierarchy chart is drawn. Constructing a judgment (pair-wise comparison) matrix: when the weight among the factors of each level is determined, a mutual comparison method is adopted, the grade is rated according to the relative scale, and a judgment matrix is constructed according to the grade.

Hierarchical single ordering and consistency checking: and obtaining the weight of each factor relative to the upper factor by solving the feature vector of the judgment matrix, and carrying out consistency test to ensure the reliability of the result. And (3) checking the total hierarchical ordering and consistency thereof: and calculating the weight of the bottommost factor relative to the highest layer target according to the result of the hierarchical single sequencing, and carrying out consistency test of the total sequencing.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a division of some logic functions, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application.

Claims (10)

1. A historical building protection condition assessment method for a historical cultural block is characterized by comprising the following steps of: comprising the steps of (a) a step of,

After the building area is divided into a plurality of subareas, the environmental condition data in each subarea is collected, and then the environmental condition coefficient of the building area is constructedIf the environmental condition coefficientCollecting various data in a building area and training to construct a block building digital twin model beyond expectations;

after adjusting the environmental conditions in the building area, collecting various data of the block building in the subareas, and constructing risk coefficients of the block building in each subarea according to the block building state data According to the risk coefficientMarking each subarea; wherein the risk factorThe construction mode of (2) is as follows: settlement of buildingNumber of cracksPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ，， for the settlement of the i-th building, For the number of cracks of the ith building,，The number of the buildings in the subareas;

Presetting a test environment condition, performing simulation test on the use states of buildings in each subarea by using a block building digital twin model, performing multiple linear regression analysis after obtaining test data, and screening risk factors from environment condition parameters according to analysis results;

Identifying the block state data in the subarea, providing a maintenance scheme for the block building by a block building maintenance knowledge graph according to the identification result, testing the maintenance scheme by using a block building digital twin model, and acquiring corresponding test data;

Construction of validity of maintenance scheme from test data If the effectiveness isUnder the validity threshold, optimizing the maintenance scheme by using an optimization algorithm according to the risk coefficientAnd the optimized maintenance scheme is sequentially executed to maintain the buildings in each subarea.

2. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 1, wherein:

An electronic map covering a building area is established, the building area is divided into a plurality of sub-areas on the electronic map, monitoring points are arranged in each sub-area, environmental conditions in the sub-areas are monitored at the monitoring points, and corresponding environmental condition data are acquired, and the method comprises the following steps: and collecting the collected data to construct a building environment condition set in the building area.

3. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 2, wherein:

building corresponding environmental condition coefficients from environmental condition data within a set of building environmental conditions If the acquired environmental condition coefficientSending a data acquisition instruction to the outside beyond expectations; after receiving a data acquisition instruction, carrying out data acquisition in the building area, summarizing the data, constructing a building state data set in the building area, extracting part of data from the building state data set as sample data, training and testing an initial model by using the sample data, and training to construct a block building digital twin model.

4. A historic building protection condition assessment method for historic cultural blocks according to claim 3, characterized in that:

Coefficient of environmental condition The construction mode of (2) is as follows: to air humidityAmbient temperatureSalt mist concentrationPerforming linear normalization processing to map corresponding data values to intervalsAnd then according to the following mode:

Weight coefficient: ，，，， the number of subareas;

For the air humidity of the i-th sub-zone, Is a qualified standard value of the air humidity,For the ambient temperature of the ith sub-zone,Is a qualified standard value of the ambient temperature,For the salt spray concentration of the i-th sub-zone,Is a qualified standard value of the salt fog concentration.

5. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 1, wherein:

Setting a plurality of uniformly distributed data acquisition points in each subarea respectively, acquiring data at each data acquisition point respectively, and summarizing the acquired data to construct a block building state data set; constructing risk factors for each sub-region from a block building status data set Risk factor of sub-regionAnd if the risk threshold exceeds the preset risk threshold, a test instruction is sent to the outside.

6. The method for evaluating historical architectural protection conditions of a historical cultural block according to claim 5, wherein:

After a test instruction is received, different conditions in the environmental conditions of the current block building are used as test environmental conditions, under the test environmental conditions, the use states of the buildings in each subarea are tested by using a block building digital twin model, and corresponding test data are obtained after a plurality of periods and a plurality of stages of tests.

7. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 6, wherein:

With risk factors obtained after testing As a dependent variable, taking environmental condition parameters as independent variables, carrying out multiple linear regression analysis by combining test environmental conditions and test data, taking regression coefficients determined by the multiple linear regression analysis as the influence degree of each environmental condition parameter on the safety risk of the block building, and summarizing each environmental condition parameter and the corresponding influence degree; and if the influence degree of the environmental condition parameters exceeds the expected value, taking the environmental condition parameters as risk factors, summarizing a plurality of risk factors and influence degrees thereof, and sequentially adjusting the environmental condition parameters in the building area according to the risk factors.

8. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 7, wherein:

After obtaining the state data of the block buildings in each sub-area, identifying the building state data, and obtaining corresponding maintenance characteristics; constructing a block building maintenance knowledge graph by taking block building maintenance as a target word; according to the correspondence between the maintenance characteristics and the maintenance schemes, a maintenance scheme is given to the block building by a block building maintenance knowledge graph; after the maintenance scheme is acquired, whether the maintenance scheme can be tested by using a block building digital twin model, and summarizing the data acquired by the test to construct a test maintenance data set.

9. The historical building protection condition assessment method for the historical cultural block according to claim 8, wherein:

Constructing validity of a current maintenance scheme from a test maintenance data set If the obtained validity degreeLess than expected, issuing a maintenance scheme optimization instruction to the outside; after receiving the scheme optimization instruction, the method improves the effectivenessAs an optimization target, optimizing each parameter of the current maintenance scheme by using an optimization algorithm to obtain an optimized maintenance scheme;

According to risk factors of each subarea Sequentially executing maintenance schemes; after the maintenance scheme is executed, an observation period comprising a plurality of observation nodes is set, building state data is collected in the observation period, and if the observation period is required to be restrained, the restraint mode is as follows:

wherein, To observe the number of nodes in a cycle,Is the time interval from the ith observation node to the jth observation node,Is the average time interval.

10. The historical building protection condition assessment method for the historical cultural neighborhood according to claim 9, wherein:

Degree of effectiveness The construction mode of (2) is as follows: acquiring risk factors at each test nodeAfter that, risk factors before and after the optimized maintenance scheme is executedOne-to-one alignment is performed according to the following formula:

wherein, For a validity intermediate value on the ith test node,For its mean, i is the test node number,，In order to test the number of nodes,AndThe risk factors on the ith node before and after maintenance,AndIs the corresponding mean value.