CN118657628A - Methods for comprehensive monitoring, evaluation and early warning of housing safety - Google Patents

Abstract

The present invention relates to the technical field of housing hidden danger assessment, and discloses a method for comprehensive monitoring, assessment and early warning of housing safety, comprising the following steps: collecting various safety data of the housing, constructing a comprehensive evaluation index system for housing safety; constructing a housing safety evaluation model based on variable fuzzy set theory; using the housing safety evaluation model to divide the safety level, and giving corresponding disposal suggestions according to the divided safety level. The present invention constructs a housing safety evaluation index system, a safety evaluation model based on variable fuzzy set theory, combines quantitative evaluation with qualitative evaluation, generates a safety evaluation level for the housing, and on this basis enables the housing owner or manager to fully understand the housing safety status, and at the same time provides auxiliary decision-making suggestions in housing maintenance, thereby reducing unnecessary property losses.

Description

Methods for comprehensive monitoring, evaluation and early warning of housing safety

Technical Field

The present invention relates to the field of housing hidden danger assessment, and more specifically, to a method for comprehensive monitoring, assessment and early warning of housing safety.

Background Art

Because the existing housing safety evaluation models have more or less deficiencies in considering the factors that affect housing safety, some only consider the impact of the structure itself on housing safety, some consider the impact of building fire protection, equipment and facilities as well as the impact of the housing structure itself, and some consider most of the influencing indicators, but they are all qualitative indicators and are highly subjective.

Summary of the invention

The present invention provides a method for comprehensive monitoring, evaluation and early warning of housing safety, which solves the technical problem that most of the influencing indicators taken into account in the related technology are all qualitative indicators with great subjectivity.

The present invention provides a method for comprehensive monitoring, evaluation and early warning of housing safety, comprising the following steps:

S100: Collect various safety data of houses and build a comprehensive evaluation index system for house safety;

S200: Building a housing safety evaluation model based on variable fuzzy set theory;

S300: Using the housing safety evaluation model to classify the safety levels, and giving corresponding disposal suggestions according to the classified safety levels;

S400: Build a real-time monitoring system to collect data on various safety indicators of the house, set warning thresholds, and automatically trigger warnings when safety indicators exceed the warning thresholds.

Furthermore, based on the variable fuzzy set theory, the steps of constructing the housing safety evaluation model are as follows:

S210, establish a housing safety evaluation index system, and then establish a first-level housing safety evaluation index based on the housing safety comprehensive evaluation index system;

S220, determining the relevant weight of each first-level evaluation indicator to the overall evaluation result;

If the weight determination is reasonable and the consistency check passes, then proceed to step S260, otherwise, make adjustments and re-evaluate until the weight allocation is reasonable and passes the consistency check;

S230, establishing a second-level housing safety evaluation index through the first-level housing safety evaluation index, evaluating each second-level index, and constructing an evaluation matrix;

If the evaluation matrix of the secondary indicators is constructed completely and meets the consistency test requirements, then proceed to step S250, otherwise, re-evaluate the selection and evaluation criteria of the secondary indicators;

S240, evaluate each secondary indicator and construct an evaluation matrix;

S250, obtaining evaluation results of the secondary evaluation indicators, and comprehensively forming an evaluation matrix of the primary evaluation indicators by combining the individual evaluation results;

S260, fuzzy operation is performed on the evaluation results of the secondary evaluation indicators and the weight of the primary evaluation on the total evaluation results to obtain the safety evaluation results of the house.

Furthermore, the steps of obtaining the safety evaluation result of the house by performing fuzzy operation on the evaluation results of the secondary evaluation index and the weight of the primary evaluation on the total evaluation result are as follows:

S261, determine the characteristic value of the object to be evaluated: Assuming that the object to be evaluated has n evaluation indicators, the characteristic value vector of the object to be evaluated is:

in, , T is the transpose operation;

S262, determine the grade evaluation interval matrix:

The evaluation index of the object to be evaluated is divided into c evaluation grade intervals according to the grade, so that grade one is better than grade two, grade two is better than grade three, and so on. Grade c is the worst, and the index grade evaluation interval matrix can be obtained: ;

S263, according to Determine the variable interval matrix ;

S264, determine the attraction domain interval Relative difference point value matrix The point value matrix ;

in, Indicates that columns n to c represent the function values at each point;

S265, determining a relative membership matrix;

Depend on and , can be obtained ;

in, yes Pair Collection The membership degree of yes Pair Collection The membership degree of Represents a collection of elements with certain desired characteristics or properties. Can represent all evaluation indicators that meet the standards, and the set It represents an evaluation indicator that does not meet the standards;

In the relative membership matrix In the example, A represents a set that is used to evaluate whether an element x meets a certain standard. Pair Collection and its complement The membership degree of x can be used to obtain the relative membership degree of x to set A, so as to make evaluation and classification;

Then, according to the positional relationship between the indicator characteristic value x and point M, the relative membership function is calculated:

1) When When , the relative membership function calculation formula is:

2) When hour, but ;

3) When When , the relative membership function calculation formula is:

in, The level is of Pair Collection The membership degree of is a reference point, usually a specific ideal value or target value. is the indicator characteristic value, the element to be evaluated;

After normalizing the obtained membership of each index to each level, the normalized relative membership matrix U can be obtained;

Among them, c is the number of evaluation level intervals, and U is the relative membership matrix;

S266, determine the comprehensive relative membership:

The comprehensive relative membership formula of the object to be evaluated to level h is:

In the formula, ; To optimize the standard parameters, When and 2, they correspond to the least square criterion and the least square criterion respectively; is the indicator weight; is the distance parameter, when When the value is 1 and 2, it corresponds to the Hamming distance and Euclidean distance respectively;

S267, comprehensive evaluation:

The level characteristic value of the object to be evaluated is:

in, It is of level h Pair Collection The membership degree of It represents the set of evaluation indicators at level h;

The final comprehensive evaluation result is:

in, There are four combinations of parameters. , Is the safety index.

Further, in step S266, and There are four combinations:

, ;

, ;

, ;

, ;

The four comprehensive relative membership matrices obtained according to the four parameter combinations are normalized to obtain the normalized comprehensive relative membership matrix .

Furthermore, the comprehensive evaluation results of the safety index are as follows: .

Furthermore, the safety evaluation model is used to divide the housing safety level into four levels, namely safe state, basic safe state, low-risk state and dangerous state.

Furthermore, the following disposal suggestions are given according to the housing safety level divided by the safety evaluation model:

The recommended treatment for safe status is that the house is in a safe state and no measures are required;

The treatment suggestion for the basic safety status is that the house is in a relatively safe state, and it is necessary to continue to monitor the house and continuously analyze the safety development trend of the house;

The treatment suggestion for low-risk status is that the house has certain safety risks. The hidden danger points of the house can be inferred through the model evaluation results, hidden danger analysis can be carried out in time, and a hidden danger analysis report can be generated;

The recommended treatment for dangerous conditions is that the risk to the house is particularly high, the house is close to being damaged, and people need to evacuate safely. A house hazard analysis should be quickly carried out, and the hidden dangers of the house should be reversed based on the model evaluation results, and relevant measures for the reinforcement or demolition of the house should be formulated.

Further, in step S100, the security data includes physical status data of the house, infrastructure data of the house, environmental data surrounding the house, and maintenance items and frequencies;

The physical status data of the house includes the foundation, upper load-bearing structure, and maintenance structure;

The infrastructure data of the house includes usage, fire resistance, earthquake resistance and ancillary facilities;

The data of the surrounding environment of the house includes the surrounding environment;

Maintenance items and frequency include a list of maintenance items and frequency data for the neighborhood or township where the house is located.

The present invention also proposes a system for comprehensive monitoring, evaluation and early warning of housing safety, which implements evaluation and early warning through a method for comprehensive monitoring, evaluation and early warning of housing safety, including:

Data collection module: collects various safety data of the house, such as the physical status data of the house, the infrastructure data of the house, the surrounding environment data of the house, and the maintenance items and frequencies;

Evaluation index system module: construct a comprehensive evaluation index system for housing safety;

Safety evaluation model module: Based on variable fuzzy set theory, a housing safety evaluation model is constructed. The model input includes data of various safety indicators, and the output is the safety evaluation result;

Safety level classification and disposal suggestion module: Use the output results of the safety evaluation model to classify the safety level, and automatically generate corresponding disposal suggestions according to different safety levels;

Real-time monitoring and early warning module: Build a real-time monitoring system, continuously collect data on various safety indicators of the house, set early warning thresholds, and automatically trigger an early warning when the safety indicators exceed the early warning thresholds.

The present invention also proposes a storage medium storing non-temporary computer-readable instructions for executing one or more steps in the above-mentioned method for comprehensive monitoring, assessment and early warning of housing safety.

The beneficial effects of the present invention are as follows: the risks faced by a house are analyzed with respect to the house itself and its surrounding environment, and the house safety monitoring and evaluation technology is studied from aspects such as disaster-causing factors, the surrounding environment and the operating status of the house, and the characteristics of potential safety hazards of the house structure. By constructing a house safety evaluation index system and a safety evaluation model based on variable fuzzy set theory, quantitative evaluation is combined with qualitative evaluation to generate a safety evaluation level for the house. On this basis, the house owner or manager can fully understand the safety status of the house, and auxiliary decision-making suggestions are provided in terms of house maintenance to reduce unnecessary property losses.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for comprehensive monitoring, evaluation and early warning of housing safety of the present invention;

2 is a block diagram of a system for comprehensive monitoring, evaluation and early warning of housing safety according to the present invention;

3 is a block diagram of a housing safety comprehensive evaluation index system of the present invention;

FIG. 4 is a diagram of housing safety levels of the housing safety comprehensive evaluation index system of the present invention.

In the figure: 101, data collection module; 102, evaluation index system module; 103, safety evaluation model module; 104, safety level classification and disposal suggestion module; 105, real-time monitoring and early warning module.

DETAILED DESCRIPTION

The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the present specification. Each example may omit, replace or add various processes or components as needed. In addition, the features described relative to some examples may also be combined in other examples.

Referring to Figures 1 to 4, the method for comprehensive monitoring, evaluation and early warning of housing safety includes the following steps:

S100: Collect various safety data of houses and build a comprehensive evaluation index system for house safety;

In one embodiment of the present invention, the security data includes physical status data of the house, infrastructure data of the house, environmental data surrounding the house, and maintenance items and frequencies;

In one embodiment of the present invention, the physical status data of the house includes the foundation, upper load-bearing structure, and maintenance structure;

Specifically, the foundation includes the tilt of the house, the settlement of the foundation, the slip of the foundation, and the foundation structure; the upper load-bearing includes the concrete spalling, the concrete carbonization, the concrete strength, and the number of safety components; the maintenance structure includes the deformation of doors and windows, the waterproofing of the roof, the width of the wall cracks, the ceiling condition, and the bonding of decorative tiles;

Meanwhile, the infrastructure data of the house includes usage, fire resistance and earthquake resistance, and ancillary facilities;

Specifically, the usage includes the damage, years of use, daily maintenance and changes in structure and function; fire and earthquake resistance includes fire separation, fire evacuation design, fire extinguishing equipment, fire resistance rating and earthquake fortification level; ancillary facilities include the power supply system, gas system, water supply and drainage system and HVAC system;

At the same time, the house surrounding environment data includes the surrounding environment, which includes groundwater level conditions, severe weather conditions, neighboring building conditions and nearby construction conditions.

It should be noted that maintenance items and frequency include collecting maintenance item lists and frequency data for the community or township.

Construction of evaluation index system: Organize the collected data into standardized evaluation indicators, such as structural integrity, facility integrity, environmental impact, etc.;

Determine the weight of each indicator and assign reasonable weights through expert consultation and data analysis.

It is important to note that the maintenance item list and maintenance frequency data will affect some key aspects of the physical condition data of the house, the infrastructure data of the house, and the surrounding environment data of the house, specifically:

1. The impact of maintenance item lists and maintenance frequency data on the physical status data of the house:

For maintenance structures: maintenance of door and window deformation, wall crack width, etc. will directly affect the state of the foundation, such as whether the cracks will worsen.

For upper load-bearing structures: Maintain the waterproofing of the roof. Poor waterproofing may lead to accelerated spalling and carbonization of the concrete structure.

2. Impact of maintenance item lists and maintenance frequency data on housing infrastructure data:

Usage: Regular execution of maintenance projects ensures the good operation of infrastructure and extends the service life of equipment.

For fire protection and earthquake resistance, by maintaining frequency data, regular inspection and updating of fire protection equipment can ensure the effectiveness of the fire protection system.

For ancillary facilities, the maintenance frequency of electrical, gas, water supply and drainage, and HVAC systems directly affects their stability and safety through a maintenance item list.

3. The impact of maintenance item list and maintenance frequency data on the data of the surrounding environment of the house:

For the surrounding environment, use a maintenance project list and the surrounding building conditions, such as construction activities that may affect the surrounding soil and foundations.

Overall, the maintenance item list and frequency data are directly related to multiple aspects such as the physical condition of the house, the operation of the infrastructure, and the impact on the surrounding environment, and play an important role in assessing the safety and stability of the house. When conducting a house assessment, these factors need to be considered comprehensively to ensure a comprehensive assessment of the house and the formulation of an effective maintenance strategy.

It should be noted that the first-level indicators include foundation, upper load-bearing, maintenance structure, usage, surrounding environment, fire and earthquake resistance, and ancillary facilities;

Secondary indicators include the tilt of the building, the settlement of the foundation, the slip of the foundation, the foundation structure, the spalling of concrete, the carbonization of concrete, the strength of concrete, the number of safe components, the deformation of doors and windows, the waterproofing of the roof, the width of the wall cracks, the condition of the suspended ceiling, the bonding of decorative tiles, the damage, the service life, the daily maintenance and structure, the functional changes, the groundwater level, the bad weather, the temporary buildings, the nearby construction, the fire protection distance, the fire evacuation design, the fire extinguishing equipment, the fire resistance level, the seismic fortification level, the power supply system, the gas system, the water supply and drainage system and the HVAC system;

S200: Building a housing safety evaluation model based on variable fuzzy set theory;

In one embodiment of the present invention, the steps of constructing a housing safety assessment model are as follows:

S210, establish a housing safety evaluation index system, and then establish a first-level housing safety evaluation index based on the housing safety comprehensive evaluation index system;

S220, determining the relevant weight of each first-level evaluation indicator to the overall evaluation result;

In the process of determining the weights, the impact of each primary indicator on overall safety needs to be evaluated based on expert opinions and statistical analysis results;

If the weight determination is reasonable and the consistency check passes, then proceed to step S260, otherwise, make adjustments and re-evaluate until the weight allocation is reasonable and passes the consistency check;

S230, establishing a second-level housing safety evaluation index through the first-level housing safety evaluation index: evaluating each second-level index and constructing an evaluation matrix;

If the evaluation matrix of the secondary indicators is constructed completely and meets the consistency test requirements, then proceed to step S250, otherwise, re-evaluate the selection and evaluation criteria of the secondary indicators to ensure the accuracy and consistency of the evaluation matrix;

S240, evaluate each secondary indicator and construct an evaluation matrix;

S250, obtaining evaluation results of the secondary evaluation indicators, and comprehensively forming an evaluation matrix of the primary evaluation indicators by combining the individual evaluation results;

S260, performing fuzzy operation on the evaluation results of the secondary evaluation indicators and the weight of the primary evaluation on the total evaluation results to obtain the safety evaluation result of the house;

In one embodiment of the present invention, the steps of performing fuzzy calculation on the evaluation results of the secondary evaluation index and the weight of the primary evaluation on the total evaluation result to obtain the safety evaluation result of the house are as follows:

S261, determine the characteristic value of the object to be evaluated: Assuming that the object to be evaluated has n evaluation indicators, the characteristic value vector of the object to be evaluated is:

in, , T is the transpose operation;

S262, determine the grade evaluation interval matrix:

The evaluation index of the object to be evaluated is divided into c evaluation grade intervals according to the grade, so that grade one is better than grade two, grade two is better than grade three, and so on. Grade c is the worst, and the index grade evaluation interval matrix can be obtained: ;

S263, according to Determine the variable interval matrix ;

S264, determine the attraction domain interval Relative difference point value matrix The point value matrix ;

in, Indicates that columns n to c represent the function values at each point;

S265, determining a relative membership matrix;

Depend on and , can be obtained ;

Then, according to the positional relationship between the indicator characteristic value x and point M, the relative membership function is calculated:

1) When When , the relative membership function calculation formula is:

2) When hour, but ;

3) When When , the relative membership function calculation formula is:

After normalizing the obtained membership of each index to each level, the normalized relative membership matrix U can be obtained;

S266, determine the comprehensive relative membership:

The comprehensive relative membership formula of the object to be evaluated to level h is:

In the formula, ; To optimize the standard parameters, When and 2, they correspond to the least square criterion and the least square criterion respectively; is the indicator weight; is the distance parameter, when When the value is 1 and 2, it corresponds to the Hamming distance and Euclidean distance respectively;

in and There are four combinations:

① , ;

② , ;

③ , ;

④ , .

The four comprehensive relative membership matrices obtained according to the four parameter combinations are normalized to obtain the normalized comprehensive relative membership matrix .

S267, comprehensive evaluation:

The level characteristic value of the object to be evaluated is:

The final comprehensive evaluation result is:

in, There are four combinations of parameters. , is the safety index;

S300: Using the housing safety evaluation model to classify the safety levels, and giving corresponding disposal suggestions according to the classified safety levels;

With reference to relevant literature and combined with the characteristics of building safety assessment, the safety level of buildings is divided into four levels using the safety assessment model, namely safe state, basic safe state, low-risk state and dangerous state, and corresponding disposal suggestions are put forward according to different safety levels;

In one embodiment of the present invention, the security level includes a safe state, a basically safe state, a low risk state, and a dangerous state;

Among them, the disposal suggestion for the safe state is that the house is in a safe state and no measures are needed;

Among them, the disposal suggestion for the basic safety status is that the house is in a relatively safe state, but it is necessary to continue to monitor the house and continuously analyze the safety development trend of the house;

Among them, the treatment suggestion for low-risk status is that there is a certain safety risk in the house. The hidden danger points of the house can be inferred through the model evaluation results, hidden danger analysis can be carried out in time, and a hidden danger analysis report can be generated;

Among them, the recommendations for handling dangerous conditions are that if the risk of a house is particularly high and the house is close to being damaged, personnel should be evacuated safely, and a house hazard analysis should be carried out quickly. The hidden dangers of the house should be reversed based on the model evaluation results, so as to formulate relevant measures for the reinforcement or demolition of the house.

Specifically, as shown in the table of Figure 4;

Among the disposal suggestions for low-risk status, the steps for generating the hidden danger analysis report are as follows:

1) Data collation

Model evaluation results: Organize the output results of the safety evaluation model based on variable fuzzy sets, and clarify the scores and risk levels of each evaluation indicator;

History: Review maintenance item lists and maintenance frequency data, including previous inspections, repairs, and monitoring data.

2) Identify potential risk points

Data analysis: Comprehensively analyze the collected data to identify the various potential dangers in the house;

Description of hidden danger characteristics: Describe the specific characteristics of the hidden danger point, such as location, scope, type (cracks, deformation, water seepage, etc.), and provide corresponding photos or diagrams.

3) Analyze the causes of hidden dangers

Cause analysis: Detailed analysis of the causes of each potential risk point, such as structural aging, external environmental impact, design defects, etc.;

Influencing factors: Identify the main factors that affect the development of hidden dangers, such as water sources, foundation settlement, structural loads, etc.

4) Assess hidden dangers and risks

Risk assessment: Based on the characteristics and causes of potential hazards, assess their potential impact on the structure and safety of the building;

Risk level classification: Classify potential hazards according to risk levels, such as low risk, medium risk, high risk, etc.

5) Propose disposal suggestions

Treatment measures: Propose specific treatment measures for each potential risk point, such as repair, reinforcement, waterproofing, etc.;

Preventive measures: Propose preventive measures to prevent similar hidden dangers from happening again, such as improving the drainage system, increasing ventilation, etc.

6) Prepare hidden danger analysis report

Report structure: Write a report according to a certain structure, which generally includes the following parts:

Cover: report title, writing date, writing unit, etc.;

Table of Contents: Index of the contents of each chapter;

Introduction: explains the purpose and background of the report;

Hazard point description: Detailed description of the location, characteristics, causes and risk level of each hidden danger point;

Disposal suggestions: specific disposal and prevention measures proposed for each potential hazard point;

Appendix: including on-site investigation photos, data tables, test reports, etc.;

Content writing: Write the content of each section item by item, ensuring that the data is accurate, the description is detailed, and the logic is clear.

7) Finalization and publication

After confirming that all contents are correct, the report will be finalized and filed for record.

Through the above steps, a detailed and accurate hidden danger analysis report can be generated to provide a scientific basis and guidance for housing safety management and maintenance.

S400: Build a real-time monitoring system to collect data on various safety indicators of the house, set warning thresholds, and automatically trigger warnings when certain indicators exceed the warning thresholds;

In one embodiment of the present invention, the steps of constructing a real-time monitoring system are as follows:

S410, Install sensor network: Install sensors in key structural parts and infrastructure of the house to monitor the physical status, infrastructure operation and surrounding environment changes in real time;

In one embodiment of the present invention, the sensor types include but are not limited to tilt sensors, crack width sensors, humidity sensors, temperature sensors, vibration sensors, etc.;

S420, data collection and transmission: transmitting the data collected by the sensor to the data processing center in real time through a wireless or wired network;

In one embodiment of the present invention, the data collection frequency and transmission mode are configured according to the monitoring requirements and sensor type to ensure the timeliness and accuracy of the data;

S430, data processing and storage: pre-processing the collected data, including data cleaning, format conversion and preliminary analysis;

Store the processed data in a database to provide support for subsequent analysis and model operations;

S440, set warning thresholds: set warning thresholds for various safety indicators based on historical data and expert experience;

The threshold can be fixed or dynamically adjusted based on the environment and usage.

S450, real-time monitoring and early warning: The system monitors various safety indicators in real time and automatically triggers early warnings when certain indicators exceed the early warning threshold;

In one embodiment of the present invention, the warning information is promptly notified to relevant management personnel through various channels (such as SMS, email, system notification, etc.);

S460, Warning Processing and Emergency Response: After receiving the warning information, the management personnel will quickly assess the risk and take corresponding measures according to the warning level and specific circumstances;

In one embodiment of the present invention, for high-risk warnings, personnel should be immediately evacuated and further safety assessment and processing should be carried out;

S470, Warning log and analysis: record all warning information and processing processes, regularly analyze warning logs, evaluate the system's warning effect and accuracy, and continuously optimize warning models and threshold settings.

By building a real-time monitoring system, dynamic monitoring and timely warning of the housing safety status can be achieved to ensure the safety and stability of the house and effectively prevent and reduce potential safety hazards.

In general, the maintenance item list and frequency data are directly related to the physical condition of the house, the operation of the infrastructure, the impact on the surrounding environment, and other aspects, and play an important role in assessing the safety and stability of the house. When conducting a house assessment, these factors need to be considered comprehensively to ensure a comprehensive assessment of the house and the formulation of an effective maintenance strategy.

As shown in FIG2 and FIG3, a system for comprehensive monitoring, evaluation and early warning of housing safety includes:

Data collection module 101: collects various safety data of the house, such as physical status data of the house, infrastructure data of the house, environmental data around the house, and maintenance items and frequencies;

Evaluation index system module 102: constructing a comprehensive evaluation index system for housing safety;

Safety evaluation model module 103: Based on variable fuzzy set theory, a housing safety evaluation model is constructed. The model input includes data of various safety indicators, and the output is the safety evaluation result;

Security level classification and disposal suggestion module 104: uses the output results of the security evaluation model to classify security levels, and automatically generates corresponding disposal suggestions according to different security levels;

Real-time monitoring and early warning module 105: Build a real-time monitoring system, continuously collect data on various safety indicators of the house, set early warning thresholds, and automatically trigger an early warning when the safety indicators exceed the early warning thresholds.

At least one embodiment of the present disclosure provides a storage medium storing non-transitory computer-readable instructions for executing one or more steps of the aforementioned method for comprehensive monitoring, assessment and early warning of housing safety.

The computer program may be stored/distributed on suitable media, such as optical storage media or solid-state media supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems.

The above describes the implementation example of this embodiment, but this embodiment is not limited to the above specific implementation examples. The above specific implementation examples are merely illustrative and not restrictive. Under the guidance of this embodiment, ordinary technicians in this field can also make many forms, all of which are within the protection of this embodiment.

Claims (10)

1. The method for comprehensively monitoring, evaluating and early warning the house safety is characterized by comprising the following steps of:

s100: collecting all security data of a house and constructing a house security comprehensive evaluation index system;

s200: building a house safety evaluation model based on a variable fuzzy set theory;

s300: carrying out security level division by using a house security evaluation model, and giving corresponding treatment suggestions according to the divided security level;

s400: and (3) constructing a real-time monitoring system, collecting data of various security indexes of the house, setting an early warning threshold, and automatically triggering early warning when the security indexes exceed the early warning threshold.

2. The method for comprehensive monitoring, evaluation and early warning of the security of a house according to claim 1, wherein in step S100, the security data includes physical status data of the house, infrastructure data of the house, environmental data of the periphery of the house and maintenance items and frequencies;

the physical state data of the house comprises a foundation, an upper bearing and maintenance structure;

The infrastructure data of the house includes usage, fire and earthquake resistance, and ancillary facilities;

the house surrounding environment data includes surrounding environments;

The maintenance items and frequencies include a list of maintenance items and frequency data for the cell or town in which the house is located.

3. The method for comprehensive monitoring, evaluation and early warning of house safety according to claim 1, wherein the step of constructing a house safety evaluation model based on a variable fuzzy set theory is as follows:

S210, building a house safety evaluation index system, and building a house safety first-level evaluation index according to the house safety comprehensive evaluation index system;

S220, determining the related weight of each level of evaluation index to the total evaluation result;

if the weight is determined to be reasonable and the consistency check is passed, the step S260 is entered, otherwise, adjustment and reevaluation are performed until the weight distribution is reasonable and the consistency check is passed;

s230, building a house safety secondary evaluation index through the house safety primary evaluation index, evaluating each secondary index, and building an evaluation matrix;

If the evaluation matrix of the secondary index is constructed completely and meets the consistency test requirement, the step S250 is entered, otherwise, the selection and evaluation standard of the secondary index are re-evaluated;

s240, evaluating each secondary index, and constructing an evaluation matrix;

S250, obtaining an evaluation result of the second-level evaluation index, and comprehensively forming an evaluation matrix of the first-level evaluation index by the single evaluation result;

s260, performing fuzzy operation on the evaluation result of the second-level evaluation index and the weight of the first-level evaluation on the total evaluation result to obtain a house safety evaluation result;

The primary indexes comprise foundation foundations, upper bearing, maintenance structures, service conditions, surrounding environments, fireproof and earthquake-resistant and auxiliary facilities;

The secondary indexes comprise house inclination conditions, foundation settlement conditions, foundation slip conditions, foundation structure conditions, concrete stripping conditions, concrete carbonization conditions, concrete strength conditions, safety component number conditions, door and window deformation conditions, roof waterproof conditions, wall crack widths, suspended ceiling conditions, decoration brick bonding conditions, disaster conditions, service life, daily maintenance conditions and structures, function change conditions, groundwater level conditions, bad weather conditions, temporary building conditions, nearby construction conditions, fireproof spacing, fire fighting evacuation design, fire extinguishing equipment conditions, fire resistance grade conditions, earthquake proofing grade conditions, power supply system conditions, gas system conditions, water supply and drainage system conditions and heating and ventilation system conditions.

4. The method for comprehensive monitoring, evaluating and early warning of house safety according to claim 3, wherein the step of obtaining the house safety evaluation result by fuzzy operation of the evaluation result of the secondary evaluation index and the total evaluation result weight of the primary evaluation is as follows:

S261, determining the characteristic value of the object to be evaluated: if n evaluation indexes are provided for the object to be evaluated, the eigenvalue vector of the object to be evaluated is as follows:

；

Wherein, T is a transposition operation;

s262, determining a grade evaluation interval matrix:

Dividing the evaluation index of the object to be evaluated into c evaluation level intervals according to the level, enabling the level one to be better than the level two, the level two to be better than the level three, and so on, and obtaining an index level evaluation interval matrix when the level c is worst ；

；

S263 according toDetermining a variable interval matrix；

；

S264, determining a suction domain sectionMedium relative difference point value matrixPoint value matrix of (a)；

；

Wherein, The n-th column to the c-th column represent the function values at each point value;

s265, determining a relative membership matrix;

From the following components AndObtaining；

Wherein, Is thatPair aggregationIs used for the degree of membership of the group (a),Is thatPair aggregationMembership degree of (C1), collectionRepresenting a collection of elements having certain desired characteristics or properties, a collectionRepresents all the evaluation indexes meeting the standard and is assembledThen represents an evaluation index that does not meet the criteria;

In a relative membership matrix Wherein the set represented by A is a reference for evaluating whether the element x meets a specific standard by calculating the elementPair aggregationAnd complement of sameObtaining the relative membership degree of x relative to the set A;

and then calculating a relative membership function according to the position relation between the index characteristic value x and the M point:

1) When (when) When the relative membership function calculation formula is:

；

2) When (when) In the time-course of which the first and second contact surfaces,Then；

3) When (when)When the relative membership function calculation formula is:

；

Wherein, Is of the grade ofA kind of electronic devicePair aggregationIs used for the degree of membership of the group (a),As a point of reference to the reference,For a particular desired or target value,The element to be evaluated is an index characteristic value;

Normalizing the membership of each index to each level to obtain a normalized relative membership matrix U;

；

s266, determining the comprehensive relative membership degree:

the comprehensive relative membership formula of the object to be evaluated on the level h is as follows:

；

In the method, in the process of the invention, ；To optimize the standard parameters whenAnd 2, respectively corresponding to a least square criterion and a least square criterion; is an index weight; As distance parameter, when When the values 1 and 2 are taken, the Hamming distance and the Euclidean distance are respectively corresponding;

S267, comprehensively evaluating:

The level characteristic values of the object to be evaluated are as follows:

；

；

Wherein, Is of level hPair aggregationMembership degree of (C1), collectionThen representing the evaluation index set with the level h;

The final comprehensive evaluation result is:

；

Wherein, For four combinations of the parameters,，Is a safety index.

5. The method for integrated monitoring, evaluating and warning of security of a building according to claim 4, characterized in that, in step S266,AndThere are four combinations:

，；

，；

，；

，；

normalizing four comprehensive relative membership matrixes obtained according to the four parameter combinations to obtain normalized comprehensive relative membership matrixes 。

6. The method for comprehensive monitoring, evaluation and early warning of house safety according to claim 5, wherein the comprehensive evaluation result of the safety index is as follows:

。

7. the method for comprehensive monitoring, evaluation and early warning of house safety according to claim 1, wherein the house safety level is classified into 4 levels, namely a safety state, a basic safety state, a low risk state and a dangerous state by using a safety evaluation model.

8. The method for comprehensive monitoring, evaluation and early warning of house safety according to claim 1, wherein the following treatment suggestions are given according to the house safety level divided by the safety evaluation model:

The treatment proposal of the safe state is that the house is in the safe state without taking measures;

The treatment proposal of the basic safety state is that the house is in a safer state, the house needs to be continuously monitored, and the safety development situation of the house is continuously analyzed;

The treatment proposal of the low risk state is that a certain safety risk exists in the house, hidden danger points of the house are reversely pushed through a model evaluation result, hidden danger analysis is timely unfolded, and a hidden danger analysis report is generated;

The treatment proposal of the dangerous state is that the risk of the house is particularly large, the house is close to damage, personnel are required to be safely evacuated, the house danger analysis is rapidly developed, hidden danger points of the house are reversely pushed according to the model evaluation result, and relevant measures for reinforcing or dismantling the house are formulated.

9. A system for comprehensive monitoring, evaluating and early warning of house safety, which implements the method for comprehensive monitoring, evaluating and early warning of house safety according to any one of claims 1 to 8, and is characterized by comprising:

the data collection module 101: collecting various security data of the house, such as physical state data of the house, infrastructure data of the house, surrounding environment data of the house and maintenance items and frequency;

The evaluation index system module 102: constructing a house safety comprehensive evaluation index system;

Safety evaluation model module 103: based on a variable fuzzy set theory, building a house safety evaluation model, inputting data comprising various safety indexes by the model, and outputting the data as a safety evaluation result;

The security classification and disposition suggestion module 104: carrying out security level division by utilizing the output result of the security evaluation model, and automatically generating corresponding treatment suggestions according to different security levels;

real-time monitoring and early warning module 105: and (3) constructing a real-time monitoring system, continuously collecting data of all safety indexes of the house, setting an early warning threshold, and automatically triggering early warning when the safety indexes exceed the early warning threshold.

10. A storage medium having stored thereon non-transitory computer readable instructions for performing one or more of the steps of the method for integrated monitoring, evaluating and pre-warning of security of a premises as claimed in any of claims 1-8.