CN116664064A - Detection and early warning method and system for fire safety - Google Patents
Detection and early warning method and system for fire safety Download PDFInfo
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Abstract
The application discloses a detection and early warning method and a system for fire safety, which relate to the technical field of data processing, and the method comprises the following steps: basic building information of a target detection area is obtained; extracting unqualified records from the preliminary fire safety acceptance records; matching a plurality of disqualified items with the fireproof partition information based on the positioning identification; inputting the information of the multiple areas to be detected and the building design information into a first adjustment module in the detection analysis model, and outputting multiple pieces of first detection adjustment information; judging whether a newly added disqualified item appears, if so, adding the newly added disqualified item into the association adjustment information set; inputting the detection failure results into a constraint analysis module in a detection analysis model, and outputting a plurality of detection failure results; and obtaining detection and early warning information and sending the information to staff for detection and early warning. The application solves the technical problems of low early warning reliability caused by low refinement degree of the detection result of fire safety in the prior art, and achieves the technical effect of improving the early warning accuracy.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a detection and early warning method and system for fire safety.
Background
With the increasing importance of fire safety, the conventional fire detection accuracy cannot meet the requirements. In the prior art, the technical problem of low early warning reliability caused by low refinement degree of a detection result of fire safety exists.
Disclosure of Invention
The application provides a detection early warning method and a detection early warning system for fire safety, which are used for solving the technical problem of low early warning reliability caused by low refinement degree of a detection result of the fire safety in the prior art.
In view of the above problems, the application provides a detection and early warning method and a system for fire safety.
In a first aspect of the present application, there is provided a detection and early warning method for fire safety, the method comprising:
basic building information of a target detection area is obtained, wherein the basic building information comprises fireproof partition information and building design information;
extracting a disqualified record from the preliminary fire safety acceptance record, wherein the disqualified record comprises a plurality of disqualified items, and the disqualified items have positioning identifiers;
based on the positioning identification, matching the plurality of unqualified items with fireproof partition information to obtain a plurality of area information to be detected;
inputting the information of the plurality of areas to be detected and the building design information into a first adjustment module in a detection analysis model, and outputting a plurality of first detection adjustment information;
judging whether newly increased unqualified items appear in the plurality of first detection adjustment information, if so, adding the newly increased unqualified items into a correlation adjustment information set;
inputting the association adjustment information set into a constraint analysis module in the detection analysis model, and outputting a plurality of detection failure results;
and obtaining detection early warning information according to the detection failure results, and sending the detection early warning information to staff for detection early warning.
In a second aspect of the present application, there is provided a detection and early warning system for fire safety, the system comprising:
the system comprises a basic building information acquisition module, a target detection area acquisition module and a target detection area acquisition module, wherein the basic building information acquisition module is used for acquiring basic building information of the target detection area, and the basic building information comprises fireproof partition information and building design information;
the system comprises a failure record extraction module, a failure record extraction module and a storage module, wherein the failure record extraction module is used for extracting failure records from a preliminary fire safety acceptance record, the failure records comprise a plurality of failure items, and the plurality of failure items have positioning identifiers;
the to-be-detected area obtaining module is used for matching the plurality of unqualified items with the fireproof partition information based on the positioning identification to obtain a plurality of to-be-detected area information;
the adjustment information output module is used for inputting the information of the plurality of areas to be detected and the building design information into a first adjustment module in the detection analysis model and outputting a plurality of first detection adjustment information;
the association adjustment information adding module is used for judging whether newly increased unqualified items appear in the plurality of first detection adjustment information, and if so, adding the newly increased unqualified items into an association adjustment information set;
the failed result output module is used for inputting the association adjustment information set into a constraint analysis module in the detection analysis model and outputting a plurality of detection failed results;
and the detection early-warning module is used for obtaining detection early-warning information according to the detection failure results and sending the detection early-warning information to staff for detection early-warning.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method comprises the steps of obtaining basic building information of a target detection area, wherein the basic building information comprises fireproof partition information and building design information, extracting unqualified records from preliminary fire safety acceptance records, wherein the unqualified records comprise a plurality of unqualified items, the plurality of unqualified items are provided with positioning identifiers, matching the plurality of unqualified items with the fireproof partition information based on the positioning identifiers to obtain a plurality of area information to be detected, inputting the plurality of area information to be detected and the building design information into a first adjustment module in a detection analysis model, outputting a plurality of first detection adjustment information, judging whether newly-increased unqualified items appear in the plurality of first detection adjustment information, if so, adding the newly-increased unqualified items into a correlation adjustment information set, inputting the correlation adjustment information set into a constraint analysis module in the detection analysis model, outputting a plurality of detection failure results, obtaining detection early warning information according to the plurality of detection failure results, and sending the detection early warning information to a worker for detection early warning. The technical effect of improving the detection early warning accuracy and the early warning efficiency is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a detection and early warning method for fire safety according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a first adjustment module generated in a detection and early warning method for fire safety according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of obtaining a plurality of detection failure results in a detection early warning method for fire safety according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a detection and early warning system for fire safety according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a basic building information obtaining module 11, a disqualified record extracting module 12, a region to be detected obtaining module 13, an adjustment information output module 14, a correlation adjustment information adding module 15, a result output module 16 and a detection early warning module 17.
Detailed Description
The application provides a detection and early warning method for fire safety, which is used for solving the technical problem of low early warning reliability caused by low refinement degree of a detection result of the fire safety in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the application provides a detection and early warning method for fire safety, wherein the method comprises the following steps:
step S100: basic building information of a target detection area is obtained, wherein the basic building information comprises fireproof partition information and building design information;
step S200: extracting a disqualified record from the preliminary fire safety acceptance record, wherein the disqualified record comprises a plurality of disqualified items, and the disqualified items have positioning identifiers;
in one possible embodiment, the base building information is obtained by acquiring base building conditions within the target detection area. The target detection area is any area needing fire safety detection, and the fireproof partition information is partition information formed by dividing different fireproof areas of the building area according to different purposes and properties of each partition. The building design information is size and position information designed in advance when the building in the target detection area is constructed. According to the basic building information, the fire protection division condition and the building design condition in the target detection area can be mastered.
In the embodiment of the application, the preliminary fire safety acceptance record is data information formed after the target detection area is accepted according to the fire safety acceptance standard, and reflects the fire safety condition corresponding to each partition in the target detection area. And taking unqualified as an index, extracting information from the preliminary fire safety acceptance record to obtain the unqualified record, namely acquiring the items which cannot meet the preliminary acceptance requirement in the target detection area, simultaneously extracting the positions of the items, and carrying out positioning identification on the obtained unqualified items after extraction. Thereby causing the locations of the plurality of reject terms in the target detection area to be determined.
Step S300: based on the positioning identification, matching the plurality of unqualified items with fireproof partition information to obtain a plurality of area information to be detected;
step S400: inputting the information of the plurality of areas to be detected and the building design information into a first adjustment module in a detection analysis model, and outputting a plurality of first detection adjustment information;
further, as shown in fig. 2, step S400 of the embodiment of the present application further includes:
step S410: performing data search from big data by taking fire safety adjustment as an index to obtain a plurality of sample areas to be detected, sample building design information and a plurality of sample first detection adjustment information to construct a sample data set;
step S420: and labeling and dividing the sample data set according to preset dividing conditions, performing supervision training on the first adjustment module of the detection analysis model, updating the first adjustment module based on error parameters output in real time until convergence is achieved, and generating the first adjustment module.
Specifically, the positioning identification is matched with the position information in the fireproof partition information, so that a plurality of unqualified items belonging to the same fireproof partition are collected and aggregated, and the plurality of areas to be detected are obtained. The information of the plurality of areas to be detected is information describing unqualified items corresponding to areas which cannot meet fire safety requirements in the target detection area. The detection analysis model is a functional model for intelligently analyzing the fire safety detection condition of the target detection area and comprises a first adjustment module and a constraint analysis module. The first adjustment module is a functional module for intelligently analyzing and outputting parameters for adjusting unqualified items, and preferably, the first adjustment module uses a BP neural network Wie basic frame, uses a plurality of area information to be detected and building design information as input data, and uses a plurality of first detection adjustment information as output data. The plurality of first detection adjustment information is information describing the condition of adjusting unqualified items needing parameter adjustment in the plurality of region information to be detected, and comprises a first detection adjustment parameter value set and a first detection adjustment result. Wherein the first detected and adjusted parameter value is a parameter value adjusted to enable the disqualifying item to meet fire protection requirements. The first detection adjustment result is a disqualified item condition after the first adjustment is performed.
In one possible embodiment, the fire safety adjustment is used as an index to perform data search from big data, so as to obtain a plurality of sample areas to be detected, sample building design information and a plurality of sample first detection adjustment information to construct a sample data set. The sample dataset is used to construct the first adjustment module. The preset dividing condition is that extracting first detection and adjustment information of a plurality of samples in the sample data set, and performing data labeling, so that when the frame constructed by the BP neural network is trained by utilizing the sample data set, the training process is supervised, the sample data set is divided into N groups, and the first adjustment module is adjusted and updated according to the error of training output of each group of data until the model is converged, so that the first adjustment module is obtained.
Further, step S400 of the embodiment of the present application further includes:
step S430: removing the plurality of first detection adjustment information according to the association adjustment information set to obtain a plurality of first detection adjustment information to be optimized;
step S440: traversing the plurality of first detection adjustment information to be optimized to perform deviation median analysis to obtain a plurality of detection adjustment deviations;
step S450: and optimally adjusting the first adjusting module according to the detection adjustment deviations.
In one embodiment, the plurality of first detection adjustment information sets are matched according to the association adjustment information sets, and the adjustment information which is successfully matched is removed, so that a plurality of first detection adjustment information to be optimized which does not generate newly increased disqualified items is obtained. And calculating the degree of the intermediate value of the qualified threshold value of the distance item in the plurality of first detection adjustment information to be optimized, so as to obtain a plurality of detection adjustment deviations. The plurality of detection adjustment deviations reflect the distance between the adjustment result of the first adjustment module and the optimal intermediate value. And carrying out mean value processing by utilizing the detection adjustment deviations, and feeding back a result of the mean value processing to the first adjustment module for optimization adjustment.
Step S500: judging whether newly increased unqualified items appear in the plurality of first detection adjustment information, if so, adding the newly increased unqualified items into a correlation adjustment information set;
step S600: inputting the association adjustment information set into a constraint analysis module in the detection analysis model, and outputting a plurality of detection failure results;
step S700: and obtaining detection early warning information according to the detection failure results, and sending the detection early warning information to staff for detection early warning.
In one possible embodiment, the detecting and adjusting information of the newly added disqualified item is added to the association and adjusting information set by searching the plurality of first detecting and adjusting information one by one to judge whether the newly added disqualified item appears, if so, the newly added disqualified item appears. The association adjustment information set is a set for summarizing and recording the condition that the association parameters are unqualified due to adjustment after the first adjustment. The constraint analysis module is a functional module for judging whether unqualified items and newly added unqualified items in the association adjustment information set can meet fire-fighting requirements after adjustment. That is, after the first adjustment, the adjustment range of the unqualified item parameter is too large, which affects other parameters related to the unqualified item parameter, and the newly added unqualified item can meet the requirement by adjusting the adjustment range of the unqualified item parameter.
Specifically, constraint analysis is performed through the constraint analysis module, a plurality of detection failure results are obtained, and the detection failure results indicate that the constraint analysis of the unqualified items and the newly added unqualified items can meet the fire safety requirements. And obtaining detection early warning information according to the non-passing items and positions in the detection non-passing results, and sending the detection early warning information to staff for detection early warning. The detection early warning information is determined information which needs to be subjected to early warning after the refined analysis of the security of the fire protection.
Further, step S600 of the embodiment of the present application further includes:
step S610: a first detection adjustment parameter value set and an association parameter value set are extracted from the association adjustment information set, wherein the first detection adjustment parameter value set is a parameter value adjusted by a first adjustment module, and the association parameter value set is a parameter value in a newly added disqualified item;
step S620: and inputting the first detection adjustment parameter value set and the association parameter value set into the constraint analysis module, and outputting a plurality of detection failing results.
Further, as shown in fig. 3, step S600 of the embodiment of the present application further includes:
step S630: according to the constraint analysis module, the associated parameter value corresponding to the associated parameter value set is called to adjust a threshold value set;
step S640: determining a first detection adjustment parameter value safety threshold set according to the first detection adjustment parameter value set;
step S650: and obtaining a plurality of detection failing results based on the association parameter value adjustment threshold set and the first detection adjustment parameter value safety threshold set.
Further, step S600 of the embodiment of the present application further includes:
step S660: matching building design information according to the newly added unqualified items to obtain basic building constraint information;
step S670: judging whether secondary adjustment meeting preset adjustment conditions can be conducted on the first detection adjustment parameter value set based on the association parameter value adjustment threshold set and the first detection adjustment parameter value safety threshold set, and if not, obtaining a plurality of detection failing results, wherein the preset adjustment conditions are that newly increased unqualified items meet fire safety on the premise that the unqualified items can meet the fire safety after being adjusted.
Further, step S670 of the embodiment of the present application further includes:
step S671: if yes, judging a secondary adjustment result according to the basic building constraint information;
step S672: judging whether a second detection adjustment parameter value set in the secondary adjustment result exceeds the range of the basic building constraint information, and if so, obtaining a plurality of detection non-passing results.
In one possible embodiment, by using the associated parameter item in the associated parameter value set as an index, the corresponding associated parameter adjustment threshold set is matched from the constraint analysis module, that is, the newly added disqualified item corresponding to the associated parameter value set can meet the allowable range of the associated parameter value when the fire safety requirement is met. The first detection adjustment parameter value safety threshold value set is a range in which the first detection adjustment parameter value can be adjusted on the basis that the unqualified item can meet the fire safety requirement after the parameter value of the unqualified item is subjected to first adjustment, namely on the basis that the unqualified item is kept to meet the fire safety requirement.
Specifically, according to the position of the area corresponding to the newly added disqualified item, matching with building design information to obtain a range in which parameters can be adjusted, for example, the attic height is only 0.4m, but a splash plate of a spray head design needs to be 0.3 m away from the roof and 0.2m away from the floor, that is, if fire-fighting requirements are to be met, the building height needs to be at least 0.5m, but the actual attic height is only 0.4m, and at the moment, a second detection adjustment parameter value set in the secondary adjustment result exceeds the range of basic building constraint information, so that a plurality of detection failing results are obtained.
In one possible embodiment, it is determined whether a secondary adjustment of the first set of probe adjustment parameter values meeting a preset adjustment condition can be performed by adjusting a threshold set based on the associated parameter values and the first set of probe adjustment parameter value security thresholds. Illustratively, when the spray head is disposed on a plane below the bottom surface of a beam or other obstruction, the distance from the splash plate to the top plate is less than 300mm, while the vertical distance from the splash plate to the bottom surface of the beam or other obstruction should not be less than 25mm, and should not be greater than 100mm. When the distance between the splash box and the top plate in the first detection adjustment parameter value set is 280mm, the vertical distance between the splash box and the bottom surface of the obstacle such as the beam is 21mm and less than 25mm, so that the fire safety requirement cannot be met. The adjustment threshold value of the vertical distance between the splash box and the bottom surface of the beam and other obstacles is larger than 4mm, and the safety threshold value of the distance between the splash box and the top plate is 20mm, so that the safety threshold value is larger than the adjustment threshold value, and the fire safety requirement can be met by adjusting the distance between the splash box and the top plate to 284 mm. The preset adjustment condition is that the newly increased unqualified items also meet the fire safety on the premise that the unqualified items can meet the fire safety after being adjusted.
In summary, the embodiment of the application has at least the following technical effects:
according to the application, the foundation construction condition in the target detection area is used as a basic basis in the fire safety detection process, the obtained unqualified items are deeply analyzed, and the unqualified items which cannot meet the adjustment of the foundation construction condition are determined, so that the refinement degree of detection early warning is improved, and reliable early warning is provided for staff.
Example two
Based on the same inventive concept as the detection and early warning method for fire safety in the foregoing embodiments, as shown in fig. 4, the present application provides a detection and early warning system for fire safety, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
a basic building information obtaining module 11, where the basic building information obtaining module 11 is configured to obtain basic building information of a target detection area, where the basic building information includes fireproof partition information and building design information;
a reject record extraction module 12, wherein the reject record extraction module 12 is configured to extract a reject record from a preliminary fire safety acceptance record, the reject record including a plurality of reject items, the plurality of reject items having positioning identifiers;
the to-be-detected area obtaining module 13 is configured to match the plurality of unqualified items with fireproof partition information based on the positioning identifier, so as to obtain a plurality of to-be-detected area information;
the adjustment information output module 14 is configured to input the plurality of area information to be detected and the architectural design information into a first adjustment module in a detection analysis model, and output a plurality of first detection adjustment information;
the association adjustment information adding module 15 is configured to determine whether a newly added unqualified item appears in the plurality of first detection adjustment information, and if yes, add the newly added unqualified item into the association adjustment information set;
the failed result output module 16 is configured to input the association adjustment information set into a constraint analysis module in the detection analysis model, and output a plurality of failed detection results;
the detection and early warning module 17, the detection and early warning module 17 is used for obtaining detection and early warning information according to the detection and early warning failed results, and sending the detection and early warning information to staff for detection and early warning.
Further, the system further comprises:
the sample data set generation unit is used for carrying out data search from big data by taking fire safety adjustment as an index to obtain a plurality of sample areas to be detected, sample building design information and a plurality of sample first detection adjustment information to form a sample data set;
the first adjustment module generation unit is used for marking and dividing the sample data set according to preset dividing conditions, performing supervision training on the first adjustment module of the detection analysis model, updating the first adjustment module based on error parameters output in real time until convergence is achieved, and generating the first adjustment module.
Further, the system further comprises:
the first adjustment information obtaining unit to be optimized is used for removing the plurality of first detection adjustment information according to the association adjustment information set to obtain a plurality of first detection adjustment information to be optimized;
the detection adjustment deviation obtaining unit is used for traversing the plurality of first detection adjustment information to be optimized to conduct deviation median analysis, so as to obtain a plurality of detection adjustment deviations;
and the optimizing and adjusting unit is used for optimizing and adjusting the first adjusting module according to the plurality of detection and adjustment deviations.
Further, the system further comprises:
the parameter value retrieving unit is used for retrieving a first detection adjustment parameter value set and an associated parameter value set from the associated adjustment information set, wherein the first detection adjustment parameter value set is a parameter value adjusted by the first adjustment module, and the associated parameter value set is a parameter value in a newly added disqualified item;
and the parameter value input unit is used for inputting the first detection adjustment parameter value set and the association parameter value set into the constraint analysis module and outputting a plurality of detection failure results.
Further, the system further comprises:
the adjustment threshold value invoking unit is used for invoking the association parameter value adjustment threshold value set corresponding to the association parameter value set according to the constraint analysis module;
the safety threshold determining unit is used for determining a first detection adjustment parameter value safety threshold set according to the first detection adjustment parameter value set;
and a detection non-passing result obtaining unit configured to obtain a plurality of detection non-passing results based on the association parameter value adjustment threshold set and the first detection adjustment parameter value security threshold set.
Further, the system further comprises:
the constraint information obtaining unit is used for obtaining basic building constraint information according to the newly-added unqualified items matched with building design information;
the secondary adjustment judging unit is used for judging whether secondary adjustment meeting preset adjustment conditions can be conducted on the first detection adjustment parameter value set based on the association parameter value adjustment threshold set and the first detection adjustment parameter value safety threshold set, if not, a plurality of detection failing results are obtained, wherein the preset adjustment conditions are that newly added unqualified items meet fire safety on the premise that the unqualified items can meet the fire safety after being adjusted.
Further, the system further comprises:
the secondary adjustment result judging unit is used for judging a secondary adjustment result according to the basic building constraint information if the secondary adjustment result judging unit is used for judging the secondary adjustment result;
and the second detection adjustment parameter value judging unit is used for judging whether a second detection adjustment parameter value set in the secondary adjustment result exceeds the range of the basic building constraint information, and if so, a plurality of detection non-passing results are obtained.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. A detection and early warning method for fire safety, the method comprising:
basic building information of a target detection area is obtained, wherein the basic building information comprises fireproof partition information and building design information;
extracting a disqualified record from the preliminary fire safety acceptance record, wherein the disqualified record comprises a plurality of disqualified items, and the disqualified items have positioning identifiers;
based on the positioning identification, matching the plurality of unqualified items with fireproof partition information to obtain a plurality of area information to be detected;
inputting the information of the plurality of areas to be detected and the building design information into a first adjustment module in a detection analysis model, and outputting a plurality of first detection adjustment information;
judging whether newly increased unqualified items appear in the plurality of first detection adjustment information, if so, adding the newly increased unqualified items into a correlation adjustment information set;
inputting the association adjustment information set into a constraint analysis module in the detection analysis model, and outputting a plurality of detection failure results;
and obtaining detection early warning information according to the detection failure results, and sending the detection early warning information to staff for detection early warning.
2. The method as claimed in claim 1, comprising:
performing data search from big data by taking fire safety adjustment as an index to obtain a plurality of sample areas to be detected, sample building design information and a plurality of sample first detection adjustment information to construct a sample data set;
and labeling and dividing the sample data set according to preset dividing conditions, performing supervision training on the first adjustment module of the detection analysis model, updating the first adjustment module based on error parameters output in real time until convergence is achieved, and generating the first adjustment module.
3. The method as claimed in claim 1, comprising:
removing the plurality of first detection adjustment information according to the association adjustment information set to obtain a plurality of first detection adjustment information to be optimized;
traversing the plurality of first detection adjustment information to be optimized to perform deviation median analysis to obtain a plurality of detection adjustment deviations;
and optimally adjusting the first adjusting module according to the detection adjustment deviations.
4. The method as claimed in claim 1, comprising:
a first detection adjustment parameter value set and an association parameter value set are extracted from the association adjustment information set, wherein the first detection adjustment parameter value set is a parameter value adjusted by a first adjustment module, and the association parameter value set is a parameter value in a newly added disqualified item;
and inputting the first detection adjustment parameter value set and the association parameter value set into the constraint analysis module, and outputting a plurality of detection failing results.
5. The method as recited in claim 4, comprising:
according to the constraint analysis module, the associated parameter value corresponding to the associated parameter value set is called to adjust a threshold value set;
determining a first detection adjustment parameter value safety threshold set according to the first detection adjustment parameter value set;
and obtaining a plurality of detection failing results based on the association parameter value adjustment threshold set and the first detection adjustment parameter value safety threshold set.
6. The method as recited in claim 5, comprising:
matching building design information according to the newly added unqualified items to obtain basic building constraint information;
judging whether secondary adjustment meeting preset adjustment conditions can be conducted on the first detection adjustment parameter value set based on the association parameter value adjustment threshold set and the first detection adjustment parameter value safety threshold set, and if not, obtaining a plurality of detection failing results, wherein the preset adjustment conditions are that newly increased unqualified items meet fire safety on the premise that the unqualified items can meet the fire safety after being adjusted.
7. The method as recited in claim 6, comprising:
if yes, judging a secondary adjustment result according to the basic building constraint information;
judging whether a second detection adjustment parameter value set in the secondary adjustment result exceeds the range of the basic building constraint information, and if so, obtaining a plurality of detection non-passing results.
8. A detection and early warning system for fire safety, the system comprising:
the system comprises a basic building information acquisition module, a target detection area acquisition module and a target detection area acquisition module, wherein the basic building information acquisition module is used for acquiring basic building information of the target detection area, and the basic building information comprises fireproof partition information and building design information;
the system comprises a failure record extraction module, a failure record extraction module and a storage module, wherein the failure record extraction module is used for extracting failure records from a preliminary fire safety acceptance record, the failure records comprise a plurality of failure items, and the plurality of failure items have positioning identifiers;
the to-be-detected area obtaining module is used for matching the plurality of unqualified items with the fireproof partition information based on the positioning identification to obtain a plurality of to-be-detected area information;
the adjustment information output module is used for inputting the information of the plurality of areas to be detected and the building design information into a first adjustment module in the detection analysis model and outputting a plurality of first detection adjustment information;
the association adjustment information adding module is used for judging whether newly increased unqualified items appear in the plurality of first detection adjustment information, and if so, adding the newly increased unqualified items into an association adjustment information set;
the failed result output module is used for inputting the association adjustment information set into a constraint analysis module in the detection analysis model and outputting a plurality of detection failed results;
and the detection early-warning module is used for obtaining detection early-warning information according to the detection failure results and sending the detection early-warning information to staff for detection early-warning.
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