CN116128286A - Digital management system and method based on preventive mechanism construction - Google Patents
Digital management system and method based on preventive mechanism construction Download PDFInfo
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- CN116128286A CN116128286A CN202211678579.8A CN202211678579A CN116128286A CN 116128286 A CN116128286 A CN 116128286A CN 202211678579 A CN202211678579 A CN 202211678579A CN 116128286 A CN116128286 A CN 116128286A
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Abstract
The invention relates to the field of digital management, in particular to a digital management system and a digital management method based on preventive mechanism construction, wherein the system comprises a data acquisition module, a risk identification module, a risk assessment module and an equipment early warning module, wherein the risk assessment module is used for carrying out first risk assessment and second risk assessment corresponding to a pressure value of water supply equipment according to the change of smoke concentration along with time caused by combustion of combustible substances and the weight generated by the change of the smoke concentration along with the mass of combustion substances; according to the invention, a digital management platform is designed based on a double prevention control mechanism management system and combined with electronic inspection management, first risk, second risk and third risk assessment are carried out through smoke sensation feedback data and corresponding water supply equipment pressure values under different conditions, the problem that risk hidden danger existing in factory building management by a double prevention control mechanism is not thoroughly handled is solved through tertiary risk assessment, and a third analysis assessment report is analyzed, so that a user can carry out risk problem handling through a cloud platform.
Description
Technical Field
The invention relates to the field of digital management, in particular to a digital management system and method based on preventive mechanism construction.
Background
The construction of the double prevention system is the responsibility of the enterprise safety production main body, is one of the important responsibilities of the main responsible person of the enterprise, is the important content of the enterprise safety management, and constructs the double prevention system to fundamentally prevent accidents, strengthen the safety management and effectively improve the enterprise safety production management level, thereby achieving the effects of high yield, high quality and safety; in the production process of enterprises, safety accidents can occur due to various reasons, personal safety and health can be injured due to the occurrence of the safety accidents, in recent years, the investigation of potential safety hazards of the enterprises is enhanced in China, but due to the fact that the potential safety hazards can not be safely, effectively and thoroughly investigated, serious accidents still occur in some industries or fields, most enterprises in China adopt a double prevention control mechanism to manage the problems, but the problem that the treatment of the potential risk hazards is not thorough due to the adoption of the double prevention control mechanism in the prior art, the defect of early warning investigation of the risks is caused, and the accident risks cannot be effectively prevented is solved.
Disclosure of Invention
The invention aims to provide a digital management system and method based on preventive mechanism construction, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
a digital management method based on preventive mechanism construction, characterized in that the method comprises the following steps:
s1, acquiring smoke sensing host computer data and water supply equipment pressure values corresponding to a jth time interval of an I factory building to be monitored;
s2, screening tobacco sense host data of an ith time period through a database, wherein i is E j;
s3, performing first risk assessment according to the smoke sensing host data, and uploading a first risk assessment report to the cloud platform;
s4, detecting the pressure of the water supply equipment according to the risk assessment report, performing second risk assessment, and uploading the second risk assessment report to the cloud platform;
s5, carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining the historical data, and sending out early warning when the risk classification exceeds a set threshold value.
Further, the method in S3 for performing the first risk assessment according to the smoke detection host data and uploading the first risk assessment report to the cloud platform includes the following steps:
step 1001, acquiring smoke sensing host data of an ith time period;
step 1002, extracting the working state of an a-th smoke sensor;
step 1003, analyzing a corresponding smoke concentration threshold value of the a-th smoke sensor in an abnormal state;
step 1004, analyzing the weight of the smoke concentration change with time caused by the combustion of the combustible under the abnormal state of the a-th smoke sensor and the weight of the corresponding smoke concentration with the mass of the combustion substance based on a TOPSIS-AISM combined model;
step 1005, constructing an original matrix
Wherein k is n Represents the concentration value, m, generated by combustion of combustible substances in the nth time period n Representing the mass condition of combustion substances in the nth time period, s n A marking result indicating the existence of the fire source according to the smoke concentration and the mass of the combustion substances generated by the combustion of the combustible substances in the nth time period;
step 1006, preprocessing is performed on the original matrix,
by the formula
Sample means of a first column and a second column in the original matrix are obtained respectively,
according to the formula
The sample covariance of the first column and the second column in the original matrix is obtained respectively,analyzing covariance data, screening corresponding data when concentration value generated by combustion of combustible substances is greater than or equal to smoke alarm threshold value, and marking as a matrix after pretreatment>
Wherein k is nn Represents the concentration value, m, generated by the combustion of combustible substances in the nth time period after pretreatment nn Representing the mass condition of the combustion substance in the nth time period after pretreatment s nn The marking result of the condition of the existence of the fire source according to the smoke concentration generated by the combustion of the combustible material and the mass condition of the combustion material in the nth time period after the pretreatment is shown;
step 1007, according to the preprocessed matrix Q 1 Performing normalization operation by the formula
Obtaining normalized data, wherein the data in the matrix is [0,1 ] after normalization operation processing]The method comprises the steps of representing that when the smoke concentration change condition with time caused by combustible combustion is 1, abnormal conditions appear corresponding to a smoke feeling, namely combustible combustion exists, and the smoke concentration generated by the combustible combustion reaches an alarm threshold; when the smoke concentration is changed with the mass of the combustion substances to be 1, the false alarm condition corresponding to the a-th smoke sense is shown, namely, when the smoke concentration of the a-th smoke sense caused by smoking reaches an alarm threshold value, but the fire disaster condition cannot be caused, o k，m Representation matrix Q 1 Concentration values resulting from combustion of a set of combustible substances extracted in (a) and corresponding mass conditions of the combustible substances, i.e. in [ k ] mm m mm ]For a group of concentration values generated by combustion of combustible substances and corresponding mass conditions of the combustible substances, m is more than or equal to 1 and less than or equal to n, when o is extracted k，m When the concentration value generated by combustion of the combustible substances is 0 and the mass of the corresponding combustion substances is 0, namely no smoke exists, the smoke is recorded as normal operation of smoke feeling;
step 1008, calculating weight according to the normalized data, and passing through the formula
Obtaining the weight of the smoke concentration change along with time caused by the combustion of combustible matters and the weight of the corresponding smoke concentration along with the mass of the combustion matters;
step 1009, obtaining the weight of the smoke concentration changing along with time and the weight of the corresponding smoke concentration along with the mass of the burning substance according to the step 1008, combining the weight data and
the first risk assessment is carried out on the smoke feeling a according to the marking result, when the smoke concentration change condition along with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition along with the mass change of the combustion matters is 1, the assessment result of the corresponding weight value is abnormal three stages, and a fire source exists and is marked as D 3 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is an abnormal second level, and a fire source exists and is recorded as D 2 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 1, the corresponding weight value evaluation result is an abnormal first level, and the smoke exists and is recorded as D 1 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is normal, and the smoke exists and is recorded as D 0 ；/>
Step 1010, evaluating the weight result according to step 1009, and uploading the evaluation result to the cloud platform in real time.
According to the method, smoke sensing host data are acquired, an a-th smoke sensing working state is extracted for analysis, a corresponding smoke concentration threshold value of the a-th smoke sensor in an abnormal state is analyzed, a weight of time change of smoke concentration caused by combustion of combustible substances and a weight of the corresponding smoke concentration along with mass of combustion substances in the abnormal state of the a-th smoke sensor are analyzed based on a TOPSIS-AISM combined model, a concentration value generated by combustion of the combustible substances, the mass of the combustion substances, the smoke concentration generated by combustion of the combustible substances and the mass condition of the combustion substances are marked according to a matrix construction method, the existence condition of a fire source is represented, the constructed matrix is subjected to normalization processing after being preprocessed, the weight is calculated through normalization processing, so that the time-varying weight of the smoke concentration caused by combustion of the combustible substances and the weight of the corresponding smoke concentration along with the mass of the combustion substances are analyzed, the weight result is evaluated, and the evaluation result is uploaded to a cloud platform in real time, and data reference is provided for whether a pre-warning signal needs to be sent or not in subsequent analysis.
Further, in S4, the method for detecting the pressure of the water supply device according to the risk assessment report, performing a second risk assessment, and uploading the second risk assessment report to the cloud platform includes the following steps:
step 2001, obtaining a weight of the smoke concentration changing along with time caused by the combustion of the combustible material and a weight evaluation report D corresponding to the weight of the smoke concentration along with the mass of the combustion material according to step 1008 0 、D 1 、D 2 、D 3 ；
2002, acquiring the pressure value of water supply equipment in real time, namely, the pressure value of water supply needed by the a-th smoke sensor when the corresponding spray header operates is P 1 The water supply pressure value corresponding to the outdoor hydrant is P 2 ；
Step 2003, according to the formula
Obtaining the corresponding evaluation value as D 0 、D 1 、D 2 、D 3 The lower water supply device pressure value working condition, wherein Y (P) represents the actual pressure value obtained by the water supply device,
represented at D 0 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 1 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 2 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 3 In the case, the actual pressure working state of the water supply equipment;
step 2004, obtaining a corresponding evaluation value D according to step 2003 0 、D 1 、D 2 、D 3 The working condition of the pressure value of the lower water supply equipment is that when the abnormal value of the working state of the smoke sensor is D 3 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as VIII, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VII; when the abnormal value of the working state of the smoke sensor is D 2 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as V, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VI; when the abnormal value of the working state of the smoke sensor is D 1 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as III, and when the water supply pressure values are abnormal, the water supply pressure values are marked as IV; when the abnormal value of the working state of the smoke sensor is D 0 And when the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are recorded as I, and when the water supply pressure values are abnormal, the water supply pressure values are recorded as II, and the evaluation result is uploaded to the cloud platform in real time.
According to the method, the weight of the smoke concentration changing along with time caused by the combustion of the combustible matters and the weight of the corresponding smoke concentration along with the mass of the combustion substances are combined, the evaluation is carried out according to whether the pressure value of the water supply equipment meets the condition under the corresponding condition, and the evaluation result is uploaded to the cloud platform in real time, so that data reference is provided for the follow-up analysis of whether an early warning signal needs to be sent.
Further, in the step S5, by analyzing the first risk assessment report and the second risk assessment report, and combining the historical data, the risk classification is performed, and when the risk classification exceeds a set threshold, the method for sending out the early warning includes the following steps:
step 3001, acquiring historical data to analyze fire frequency conditions, overhaul time of a fire monitoring device and overhaul time of water supply equipment of a region to be monitored;
step 3003, analyzing the evaluation report in combination with step 1008 and step 2004, and performing expected value operation based on the bellman equation, wherein the expression is as follows
Wherein value (B) represents a cost function based on the first risk assessment and the second risk assessment,/A>
Representing expected values of the first risk assessment and the second risk assessment, R s Indicating the marking result in the presence of a fire source, < ->
Representing a second risk assessment obtained by weight calculation and performing optimal strategy selection by a cost function, namely +.>
Wherein V is value(B) Representing an optimal policy selection function, i.e
When the abnormal state of the smoke sensor is D 0 、D 1 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =0, i.e. risk class is normal; when the abnormal state of the smoke sensor is D 0 、D 1 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. risk class is abnormal first order; when the abnormal state of the smoke sensor is D 2 、D 3 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. the risk level is an abnormal level two, when the smoke sensor is in abnormal state D 2 、D 3 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B0 =1, i.e. risk class is abnormal three levels;
step 3004, uploading the third risk assessment result to the cloud platform, and according to the assessment report analysis result, the user can adjust the pressure of the water supply equipment under the corresponding condition.
The digital management system based on the preventive mechanism construction is characterized by comprising a data acquisition module, a risk identification module, a risk assessment module and an equipment early warning module:
the data acquisition module is used for acquiring corresponding smoke sensing working data and pressure values of water supply equipment on a smoke sensing host in the factory to be monitored;
the risk identification module is used for obtaining a corresponding analysis report result when the working state of the smoke sensor is abnormal;
the risk evaluation module is used for performing first risk evaluation and second risk evaluation corresponding to the pressure value of the water supply equipment according to the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances;
the equipment early warning module is used for carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
Further, the risk assessment module comprises a data uploading unit and a data assessment unit:
the data evaluation unit is used for performing first risk evaluation on the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances and performing second risk evaluation on the pressure value of the corresponding water supply equipment;
the data uploading unit is used for uploading the first risk assessment report and the second risk assessment report to the cloud platform.
Further, the device early-warning module comprises a data analysis unit and a device early-warning unit:
the data analysis unit is used for analyzing the first risk assessment report and the second risk assessment report;
the equipment early warning unit is used for carrying out risk classification by combining the historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
The invention is based on a double prevention control mechanism management system and combines electronic inspection management to design a digital management platform, carries out first risk assessment, second risk assessment and third risk assessment through smoke sensation feedback data and corresponding water supply equipment pressure values under different conditions, solves the problem that the double prevention control mechanism is used for treating hidden danger existing in factory building management, carries out risk analysis according to a third assessment report, and carries out risk problem treatment through a cloud platform by a user according to analysis results.
Drawings
FIG. 1 is a flow chart of a digital management method based on preventive mechanism construction of the invention;
FIG. 2 is a schematic diagram of a digital management system based on preventive mechanism construction according to the present invention;
fig. 3 is a schematic flow chart of selecting an optimal strategy through a cost function in the digital management method based on the preventive mechanism construction.
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. 1-3, in an embodiment of the present invention: a digital management system and method based on preventive mechanism construction, the digital management system and method includes the following steps:
s1, acquiring smoke sensing host computer data and water supply equipment pressure values corresponding to a jth time interval of an I factory building to be monitored;
s2, screening tobacco sense host data of an ith time period through a database, wherein i is E j;
s3, performing first risk assessment according to the smoke sensing host data, and uploading a first risk assessment report to the cloud platform;
s4, detecting the pressure of the water supply equipment according to the risk assessment report, performing second risk assessment, and uploading the second risk assessment report to the cloud platform;
s5, carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining the historical data, and sending out early warning when the risk classification exceeds a set threshold value.
The method for carrying out the first risk assessment according to the smoke detection host data and uploading the first risk assessment report to the cloud platform in the S3 comprises the following steps:
step 1001, acquiring smoke sensing host data of an ith time period;
step 1002, extracting the working state of an a-th smoke sensor;
step 1003, analyzing a corresponding smoke concentration threshold value of the a-th smoke sensor in an abnormal state;
step 1004, analyzing the weight of the smoke concentration change with time caused by the combustion of the combustible under the abnormal state of the a-th smoke sensor and the weight of the corresponding smoke concentration with the mass of the combustion substance based on a TOPSIS-AISM combined model;
step 1005, constructing an original matrix
Wherein k is n Represents the concentration value, m, generated by combustion of combustible substances in the nth time period n Representing the mass condition of combustion substances in the nth time period, s n A marking result indicating the existence of the fire source according to the smoke concentration and the mass of the combustion substances generated by the combustion of the combustible substances in the nth time period;
step 1006, preprocessing is performed on the original matrix,
by the formula
Sample means of a first column and a second column in the original matrix are obtained respectively,
according to the formula
Respectively obtaining the original matrixSample covariance of the first column and the second column is analyzed, covariance data is analyzed, and data corresponding to the condition that concentration value generated by combustion of combustible substances is larger than or equal to smoke alarm threshold value is screened and recorded as a pretreated matrix->
Wherein k is nn Represents the concentration value, m, generated by the combustion of combustible substances in the nth time period after pretreatment nn Representing the mass condition of the combustion substance in the nth time period after pretreatment s nn The marking result of the condition of the existence of the fire source according to the smoke concentration generated by the combustion of the combustible material and the mass condition of the combustion material in the nth time period after the pretreatment is shown;
step 1007, according to the preprocessed matrix Q 1 Performing normalization operation by the formula
Obtaining normalized data, wherein the data in the matrix is [0,1 ] after normalization operation processing]The method comprises the steps of representing that when the smoke concentration change condition with time caused by combustible combustion is 1, abnormal conditions appear corresponding to a smoke feeling, namely combustible combustion exists, and the smoke concentration generated by the combustible combustion reaches an alarm threshold; when the smoke concentration is changed with the mass of the combustion substances to be 1, the false alarm condition corresponding to the a-th smoke sense is shown, namely, when the smoke concentration of the a-th smoke sense caused by smoking reaches an alarm threshold value, but the fire disaster condition cannot be caused, o k，m Representation matrix Q 1 Concentration values resulting from combustion of a set of combustible substances extracted in (a) and corresponding mass conditions of the combustible substances, i.e. in [ k ] mm m mm ]For a group of concentration values generated by combustion of combustible substances and corresponding mass conditions of the combustible substances, m is more than or equal to 1 and less than or equal to n, when o is extracted k，m When the concentration value generated by combustion of the combustible substances is 0 and the mass of the corresponding combustion substances is 0, namely no smoke exists, the smoke is recorded as normal operation of smoke feeling;
step 1008, calculating weight according to the normalized data, and passing through the formula
Obtaining the weight of the smoke concentration change along with time caused by the combustion of combustible matters and the weight of the corresponding smoke concentration along with the mass of the combustion matters;
step 1009, obtaining the weight of the smoke concentration changing along with time and the weight of the corresponding smoke concentration along with the mass of the burning substance according to the step 1008, combining the weight data and
the first risk assessment is carried out on the smoke feeling a according to the marking result, when the smoke concentration change condition along with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition along with the mass change of the combustion matters is 1, the assessment result of the corresponding weight value is abnormal three stages, and a fire source exists and is marked as D 3 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is an abnormal second level, and a fire source exists and is recorded as D 2 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 1, the corresponding weight value evaluation result is an abnormal first level, and the smoke exists and is recorded as D 1 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is normal, and the smoke exists and is recorded as D 0 ；/>
Step 1010, evaluating the weight result according to step 1009, and uploading the evaluation result to the cloud platform in real time.
In S4, the method for detecting the pressure of the water supply device according to the risk assessment report, performing a second risk assessment, and uploading the second risk assessment report to the cloud platform includes the following steps:
step 2001, obtaining a weight of the smoke concentration changing along with time caused by the combustion of the combustible material and a weight evaluation report D corresponding to the weight of the smoke concentration along with the mass of the combustion material according to step 1008 0 、D 1 、D 2 、D 3 ；
2002, acquiring the pressure value of water supply equipment in real time, namely, the pressure value of water supply needed by the a-th smoke sensor when the corresponding spray header operates is P 1 The water supply pressure value corresponding to the outdoor hydrant is P 2 ；
Step 2003, according to the formula
Obtaining the corresponding evaluation value as D 0 、D 1 、D 2 、D 3 The lower water supply device pressure value working condition, wherein Y (P) represents the actual pressure value obtained by the water supply device,
represented at D 0 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 1 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 2 In the case of a water supply device with an actual pressure operating state, < + >>
Represented at D 3 In the case, the actual pressure working state of the water supply equipment;
in this embodiment, according to the formula
When the smoke concentration change condition with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition with the mass of the combustion matters (the smoke generated by a smoker exists under the smoke feeling monitored) is 1, the pressure value data of the water supply equipment is monitored, and when D appears 3 In the case, when the water supply pressure is insufficient to support the start of the spray header to reduce the on-site smoke threshold, an early warning signal is sent out to perform manual pressurization operation.
Step 2004, obtaining a corresponding evaluation value D according to step 2003 0 、D 1 、D 2 、D 3 The working condition of the pressure value of the lower water supply equipment is that when the abnormal value of the working state of the smoke sensor is D 3 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as VIII, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VII; when the abnormal value of the working state of the smoke sensor is D 2 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as V, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VI; when the abnormal value of the working state of the smoke sensor is D 1 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as III, and when the water supply pressure values are abnormal, the water supply pressure values are marked as IV; when the abnormal value of the working state of the smoke sensor is D 0 And when the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are recorded as I, and when the water supply pressure values are abnormal, the water supply pressure values are recorded as II, and the evaluation result is uploaded to the cloud platform in real time.
In the step S5, the risk classification is performed by analyzing the first risk assessment report and the second risk assessment report and combining the historical data, and when the risk classification exceeds a set threshold, the method for sending out the early warning comprises the following steps:
step 3001, acquiring historical data to analyze fire frequency conditions, overhaul time of a fire monitoring device and overhaul time of water supply equipment of a region to be monitored;
step 3003, analyzing the evaluation report in combination with step 1008 and step 2004, and performing expected value operation based on the bellman equation, wherein the expression is as follows
(as shown in fig. 3), wherein value (B) represents a cost function based on the first risk assessment and the second risk assessment, +.>
Representing expected values of the first risk assessment and the second risk assessment, R s Indicating the marking result in the presence of a fire source, < ->
Representing a second risk assessment obtained by weight calculation and performing optimal strategy selection by a cost function, namely +.>
Wherein V is value(B) Representing an optimal policy selection function, i.e
When the abnormal state of the smoke sensor is D 0 、D 1 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =0, i.e. risk class is normal; when the abnormal state of the smoke sensor is D 0 、D 1 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. risk class is abnormal first order; when the abnormal state of the smoke sensor is D 2 、D 3 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. the risk level is an abnormal level two, when the smoke sensor is in abnormal state D 2 、D 3 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. risk class is abnormal three levels;
step 3004, uploading the third risk assessment result to the cloud platform, and according to the assessment report analysis result, the user can adjust the pressure of the water supply equipment under the corresponding condition.
The digital management system based on the preventive mechanism construction is characterized by comprising a data acquisition module, a risk identification module, a risk assessment module and an equipment early warning module:
the data acquisition module is used for acquiring corresponding smoke sensing working data and pressure values of water supply equipment on a smoke sensing host in the factory to be monitored;
the risk identification module is used for obtaining a corresponding analysis report result when the working state of the smoke sensor is abnormal;
the risk evaluation module is used for performing first risk evaluation and second risk evaluation corresponding to the pressure value of the water supply equipment according to the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances;
the equipment early warning module is used for carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
The risk assessment module comprises a data uploading unit and a data assessment unit:
the data evaluation unit is used for performing first risk evaluation on the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances and performing second risk evaluation on the pressure value of the corresponding water supply equipment;
the data uploading unit is used for uploading the first risk assessment report and the second risk assessment report to the cloud platform.
The equipment early warning module comprises a data analysis unit and an equipment early warning unit:
the data analysis unit is used for analyzing the first risk assessment report and the second risk assessment report;
the equipment early warning unit is used for carrying out risk classification by combining the historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A digital management method based on preventive mechanism construction, characterized in that the method comprises the following steps:
s1, acquiring smoke sensing host computer data and water supply equipment pressure values corresponding to a jth time interval of an I factory building to be monitored;
s2, screening tobacco sense host data of an ith time period through a database, wherein i is E j;
s3, performing first risk assessment according to the smoke sensing host data, and uploading a first risk assessment report to the cloud platform;
s4, detecting the pressure of the water supply equipment according to the risk assessment report, performing second risk assessment, and uploading the second risk assessment report to the cloud platform;
s5, carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining the historical data, and sending out early warning when the risk classification exceeds a set threshold value.
2. The method for digitally managing construction based on a preventive mechanism according to claim 1, wherein the method for performing the first risk assessment according to the smoke detection host data and uploading the first risk assessment report to the cloud platform in S3 comprises the following steps:
step 1001, acquiring smoke sensing host data of an ith time period;
step 1002, extracting the working state of an a-th smoke sensor;
step 1003, analyzing a corresponding smoke concentration threshold value of the a-th smoke sensor in an abnormal state;
step 1004, analyzing the weight of the smoke concentration change with time caused by the combustion of the combustible under the abnormal state of the a-th smoke sensor and the weight of the corresponding smoke concentration with the mass of the combustion substance based on a TOPSIS-AISM combined model;
step 1005, constructing an original matrix
Wherein k is n Represents the concentration value, m, generated by combustion of combustible substances in the nth time period n Representing the mass condition of combustion substances in the nth time period, s n A marking result indicating the existence of the fire source according to the smoke concentration and the mass of the combustion substances generated by the combustion of the combustible substances in the nth time period;
step 1006, preprocessing is performed on the original matrix,
by the formula
Sample means of a first column and a second column in the original matrix are obtained respectively,
according to the formula
Respectively obtaining sample covariance of a first column and a second column in an original matrix, analyzing covariance data, screening corresponding data under the condition that a concentration value generated by combustion of combustible substances is more than or equal to a smoke alarm threshold value, and marking the data as a preprocessed matrix->
Wherein k is nn Represents the concentration value, m, generated by the combustion of combustible substances in the nth time period after pretreatment nn Representing the mass condition of the combustion substance in the nth time period after pretreatment s nn The marking result of the condition of the existence of the fire source according to the smoke concentration generated by the combustion of the combustible material and the mass condition of the combustion material in the nth time period after the pretreatment is shown;
step 1007, according to the preprocessed matrix Q 1 Performing normalization operation by the formula
Obtaining normalized data, wherein the data in the matrix is [0,1 ] after normalization operation processing]The method comprises the steps of representing that when the smoke concentration change condition with time caused by combustible combustion is 1, abnormal conditions appear corresponding to a smoke feeling, namely combustible combustion exists, and the smoke concentration generated by the combustible combustion reaches an alarm threshold; when the smoke concentration is changed with the mass of the combustion substances to be 1, the false alarm condition corresponding to the a-th smoke sense is shown, namely, when the smoke concentration of the a-th smoke sense caused by smoking reaches an alarm threshold value, but the fire disaster condition cannot be caused, o k，m Representation matrix Q 1 Concentration values resulting from combustion of a set of combustible substances extracted in (a) and corresponding mass conditions of the combustible substances, i.e. in [ k ] mm m mm ]For a group of concentration values generated by combustion of combustible substances and corresponding mass conditions of the combustible substances, m is more than or equal to 1 and less than or equal to n, when o is extracted k，m When the concentration value generated by combustion of the combustible substances is 0 and the mass of the corresponding combustion substances is 0, namely no smoke exists, the smoke is recorded as normal operation of smoke feeling;
step 1008, calculating weight according to the normalized data, and passing through the formula
Obtaining the weight of the smoke concentration change along with time caused by the combustion of combustible matters and the weight of the corresponding smoke concentration along with the mass of the combustion matters;
step 1009 according to the step1008, obtaining the weight of the smoke concentration change with time caused by the combustion of the combustible matters and the weight of the corresponding smoke concentration with the mass of the combustion matters, combining the weight data and
the first risk assessment is carried out on the smoke feeling a according to the marking result, when the smoke concentration change condition along with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition along with the mass change of the combustion matters is 1, the assessment result of the corresponding weight value is abnormal three stages, and a fire source exists and is marked as D 3 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 1 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is an abnormal second level, and a fire source exists and is recorded as D 2 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 1, the corresponding weight value evaluation result is an abnormal first level, and the smoke exists and is recorded as D 1 The method comprises the steps of carrying out a first treatment on the surface of the When the smoke concentration change condition with time caused by the combustion of combustible matters is 0 and the smoke concentration change condition with the mass of the combustion matters is 0, the corresponding weight value evaluation result is normal, and the smoke exists and is recorded as D 0 ；
Step 1010, evaluating the weight result according to step 1009, and uploading the evaluation result to the cloud platform in real time.
3. The method for digitally managing construction based on a preventive mechanism according to claim 2, wherein the step S4 of performing water supply equipment pressure detection according to the risk assessment report and performing a second risk assessment, and simultaneously uploading the second risk assessment report to the cloud platform comprises the steps of:
step 2001, obtaining a weight of the smoke concentration changing along with time caused by the combustion of the combustible material and a weight evaluation report D corresponding to the weight of the smoke concentration along with the mass of the combustion material according to step 1008 0 、D 1 、D 2 、D 3 ；
Step 2002, acquiring the pressure value of the water supply equipment in real time, namely an a-th smoke sensor pairThe pressure value of water supply required by the operation of the spray header is P 1 The water supply pressure value corresponding to the outdoor hydrant is P 2 ；
Step 2003, according to the formula
Obtaining the corresponding evaluation value as D 0 、D 1 、D 2 、D 3 The lower water supply device pressure value working condition, wherein Y (P) represents the actual pressure value obtained by the water supply device, and Y (P) D0 represents the pressure value obtained by the water supply device 0 In the case of the actual pressure operation state of the water supply device, Y (P) D1 is expressed in D 1 In the case, the actual pressure working state of the water supply equipment, Y (P) D2 Represented at D 2 In the case, the actual pressure working state of the water supply equipment, Y (P) D3 Represented at D 3 In the case, the actual pressure working state of the water supply equipment;
step 2004, obtaining a corresponding evaluation value D according to step 2003 0 、D 1 、D 2 、D 3 The working condition of the pressure value of the lower water supply equipment is that when the abnormal value of the working state of the smoke sensor is D 3 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as VIII, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VII; when the abnormal value of the working state of the smoke sensor is D 2 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as V, and when the water supply pressure values are abnormal, the water supply pressure values are marked as VI; when the abnormal value of the working state of the smoke sensor is D 1 When the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are marked as III, and when the water supply pressure values are abnormal, the water supply pressure values are marked as IV; when the abnormal value of the working state of the smoke sensor is D 0 And when the water supply pressure values required by the corresponding spray header and the outdoor hydrant are normal, the water supply pressure values are recorded as I, and when the water supply pressure values are abnormal, the water supply pressure values are recorded as II, and the evaluation result is uploaded to the cloud platform in real time.
4. The method for digitally managing preventive mechanism construction according to claim 3, wherein in S5, the risk classification is performed by analyzing the first risk assessment report and the second risk assessment report in combination with the history data, and when the risk classification exceeds a set threshold, the method for sending out the early warning comprises the following steps:
step 3001, acquiring historical data to analyze fire frequency conditions, overhaul time of a fire monitoring device and overhaul time of water supply equipment of a region to be monitored;
step 3003, analyzing the evaluation report in combination with step 1008 and step 2004, and performing expected value operation based on the bellman equation, wherein the expression is as follows
Wherein value (B) represents a cost function based on the first risk assessment and the second risk assessment,/A>
Representing expected values of the first risk assessment and the second risk assessment, R s Indicating the marking result in the presence of a fire source, < ->
Representing a second risk assessment obtained by weight calculation and performing optimal strategy selection by a cost function, namely +.>
Wherein V is value(B) Representing an optimal policy selection function, i.e
When the abnormal state of the smoke sensor is D 0 、D 1 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =0, i.e. risk class is normal; when the abnormal state of the smoke sensor is D 0 、D 1 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. risk class is abnormal first order; when the abnormal state of the smoke sensor is D 2 、D 3 In the case of normal pressure value of the corresponding water supply equipment, namely V value(B) =1, i.e. the risk level is an abnormal level two, when the smoke sensor is in abnormal state D 2 、D 3 In the case of abnormality of the pressure value of the corresponding water supply equipment, namely V value(B) ＝1，Namely, the risk level is abnormal three levels;
step 3004, uploading the third risk assessment result to the cloud platform, and according to the assessment report analysis result, the user can adjust the pressure of the water supply equipment under the corresponding condition.
5. The digital management system based on the preventive mechanism construction is characterized by comprising a data acquisition module, a risk identification module, a risk assessment module and an equipment early warning module:
the data acquisition module is used for acquiring corresponding smoke sensing working data and pressure values of water supply equipment on a smoke sensing host in the factory to be monitored;
the risk identification module is used for obtaining a corresponding analysis report result when the working state of the smoke sensor is abnormal;
the risk evaluation module is used for performing first risk evaluation and second risk evaluation corresponding to the pressure value of the water supply equipment according to the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances;
the equipment early warning module is used for carrying out risk classification by analyzing the first risk assessment report and the second risk assessment report and combining historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
6. The digital management system based on preventive mechanism construction according to claim 5, wherein the risk assessment module comprises a data uploading unit and a data assessment unit:
the data evaluation unit is used for performing first risk evaluation on the weight of the smoke concentration change with time caused by the combustion of the combustible and the weight of the corresponding smoke concentration with the mass of the combustion substances and performing second risk evaluation on the pressure value of the corresponding water supply equipment;
the data uploading unit is used for uploading the first risk assessment report and the second risk assessment report to the cloud platform.
7. The digital management system based on preventive mechanism construction according to claim 6, wherein the device early warning module comprises a data analysis unit and a device early warning unit:
the data analysis unit is used for analyzing the first risk assessment report and the second risk assessment report;
the equipment early warning unit is used for carrying out risk classification by combining the historical data, and when the risk classification exceeds a set threshold value, early warning is sent out.
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| CN116822967A (en) * | 2023-08-28 | 2023-09-29 | 深圳市睿拓新科技有限公司 | Project cost risk management method and management system |
| CN117057024A (en) * | 2023-10-11 | 2023-11-14 | 建研防火科技有限公司 | Arrangement method and system for automatic fire alarm detector |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116822967A (en) * | 2023-08-28 | 2023-09-29 | 深圳市睿拓新科技有限公司 | Project cost risk management method and management system |
| CN117057024A (en) * | 2023-10-11 | 2023-11-14 | 建研防火科技有限公司 | Arrangement method and system for automatic fire alarm detector |
| CN117057024B (en) * | 2023-10-11 | 2023-12-29 | 建研防火科技有限公司 | Arrangement method and system for automatic fire alarm detector |
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