CN113792972A - Fire safety management method - Google Patents
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Abstract
The invention provides a fire safety management method, which is characterized in that an edge gateway and a cloud data center are arranged, the edge gateway automatically acquires a weight table, regularly acquires message information of fire-fighting equipment, judges the state of the fire-fighting equipment and scores the fire-fighting level in a building unit, so that the problems of long time consumption, high possibility of errors and the like caused by manual processing are solved, and on the other hand, the detection can be carried out according to a set period, so that the operability and instantaneity of the scoring process are improved.
Description
Technical Field
The invention relates to the field of fire safety, in particular to a fire safety management method.
Background
In order to enhance the fire safety management level of building units, improve the self-protection and self-rescue capacity of each unit to fire and the response capacity of each unit to fire, and protect personal and property safety, each building unit needs to periodically evaluate the fire safety management level of the building unit according to laws, regulations and national relevant regulations, and renovate building units which do not reach the standard.
In order to complete the evaluation of the fire safety management level of a building unit, engineering personnel of a qualified maintenance unit can manually check the fire management level in the building and the integrity of related fire-fighting equipment. However, at present, these evaluation works are performed by daily sampling inspection of maintenance company personnel, and cannot sufficiently and exactly evaluate the maintenance condition of each equipment, and there is no scientific quantitative standard to display the result of the maintenance survey, and meanwhile, the maintenance data needs to be checked manually, so that the efficiency of data collection is low, the time consumption is long, and fraud is easy to occur. In addition, the fire-fighting internet of things data collected in each building is not fully used, and the formats of the fire-fighting internet of things data obtained by different merchants on the market at present are different, so that the data analysis is not facilitated, and the fire-fighting management level of the building is not convenient to further analyze. These drawbacks have made this aspect of fire management level evaluation a persistent time.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a fire safety management method which is simple in structure and convenient to use.
A fire safety management method comprises the following steps:
step 1: a processing module of the edge gateway acquires a pre-stored weight table; acquiring message information of the fire-fighting internet of things equipment in the building unit within a set time period; the message information comprises fire alarm and fault alarm;
step 2: and the processing module obtains fire safety scores according to the message information and the weight table of the fire-fighting internet of things equipment.
Further, the weight table in the step 1 is obtained by processing by a cloud data center and is transmitted to an edge gateway for storage; the weight table comprises scoring weights of all scoring items; the acquisition of the weight table comprises the following steps:
step 11: the cloud data center acquires pre-stored fire protection management importance scoring results of the building units;
step 12: the cloud data center obtains a summary table according to the scoring result;
step 13: and obtaining a weight table of the fire safety level of the building unit from the summary table based on the fuzzy analytic hierarchy process.
Further, the scoring result in the step 11 is obtained based on a scoring table; the scoring table comprises a classification and sub items, and the sub items are classified items; the classification comprises a fire-fighting facility running state and a fire-fighting facility maintenance level, wherein sub-items in the fire-fighting facility running state comprise a fire automatic alarm system running state, a fire-fighting water supply fire hydrant running state, an automatic water-spraying fire-extinguishing system running state, a smoke-proof and smoke-discharging system running state, a fire door and roller shutter system running state, a gas water mist system running state, a foam fire-extinguishing system running state, a dry powder fire-extinguishing system running state, a fire elevator running state, an emergency broadcasting system running state, an emergency lighting evacuation indication running state, a fire-fighting power supply running state and an electric fire monitoring system running state; the sub items of the maintenance level of the fire-fighting equipment comprise the fire automatic alarm system completion rate, the fire-fighting water supply fire hydrant completion rate, the automatic water-spraying fire-extinguishing system completion rate, the smoke-proof and smoke-discharging system completion rate, the fire-proof door and roller shutter system completion rate, the gas water mist system completion rate, the foam fire-extinguishing system completion rate, the dry powder fire-extinguishing system completion rate, the fire elevator completion rate, the emergency broadcasting system completion rate, the emergency lighting evacuation indication completion rate, the fire-fighting power supply completion rate, the electrical fire monitoring system completion rate and the maintenance completion rate; in the scoring result, a numerical value is set for each sub-entry of the scoring table.
Further, in the step 12, a summary table is formed by summarizing scoring results, wherein the vertical direction of the summary table represents sub-items of the operation state and the maintenance level of the fire fighting equipment, the horizontal direction of the summary table represents scoring scores, and numbers between the corresponding sub-items and the scoring scores represent the number of times the scoring is performed by the sub-items obtained by summarizing.
Further, in step 13, corresponding weight values are set for the sub-items; the weight value is set by fuzzy analytic hierarchy processObtaining a numerical value; firstly, respectively counting the minimum value l, the mode m and the maximum value u in each sub-item according to the summary scoring result in a summary table to form a triple (l, m, u), and respectively counting the triple (l) of each pair of any two sub-items i and j under the operation state of the fire-fighting equipment and the maintenance level of the fire-fighting equipmenti，mi，ui)，(lj，mj，uj) Comparing to obtain
After all the triples are obtained, the selection table is compared with the fuzzy value according to
Determines the closest fuzzy value rijForming a fuzzy matrix;
after obtaining the fuzzy matrix according to the fuzzy value, the total fuzzy value S of the ith aspect is obtained by row additioni：
Si＝∑jrij (1)
Wherein the fuzzy comprehensive degree P of the ith aspectiIs composed of
By comparing the degree of blur integration in different aspects, i.e. Pi＝(li，mi，ui) And Pj＝(lj，mj，uj) The degree of importance μ (i, j) between them is expressed by formula (3):
according to equation (3), after comparing the degrees of blur integration in any two aspects, an importance comparison matrix U ═ μ (i, j) is formed]n×n(ii) a Taking the minimum value of each row of the importance comparison matrix U, and carrying out normalization processing to obtain a weight matrix, as shown in formula (4)Shown in the figure:
wherein
p ∈ (1, n), representing the weight of the pth term; a. thepP ∈ (1, n) represents the p-th item in the summary table; u (p,: p ∈ (1, n), represents all elements of the pth row of the significance comparison matrix U.
Further, the fire safety score of step 2 includes an operation state score, and the calculation of the operation state score includes the following steps:
step 211: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 1;
step 212: the processing module screens out fire alarms and fault alarms in the message information; calculating to obtain an initial equipment operation score according to the number of the fault alarms;
step 213: judging whether a fire alarm exists according to the screened message information; if the fire alarm exists, setting a division weight a for the sub-item corresponding to the fire-fighting internet of things equipment which sends out the fire alarm, and entering step 214; otherwise, go to step 215;
step 214: if the fire alarm exists, the number of fire alarms sent out at the same time or within a certain time interval is further judged; if the fire alarm quantity is more than or equal to two, the fire alarm linkage alarm of the fire-fighting internet of things equipment is represented, and the division weight b is set for all sub items in the operating state of the fire-fighting facility; otherwise, go to step 215;
step 215: and counting the scores of all the sub items to obtain the running state score.
Further, the initial device running score in step 212 represents a running score of a certain sub-item obtained according to a set calculation rule; the calculation rule of the initial equipment running score is as follows:
wherein, UiA score representing initial device operation for the ith sub-item;
representing the number of the fire-fighting equipment in the ith sub-item;
the number of devices which send out fault alarms in the ith sub item is represented;
the sub-term score is calculated in step 215 as follows:
wherein,
representing the number of fire alarms sent by the fire fighting equipment in the ith sub-item;
representing a sub-item score; wherein a represents the value of the subtractive weight a;
the operating state score is calculated as follows:
wherein s1 represents the operating condition score of the building;
representing the weight value corresponding to the ith sub-item in the weight table; b represents the value of the subtractive weight b; and flag is a fire alarm linkage alarm flag bit and represents the fire alarm linkage alarm frequency occurring in a set time period t 1.
Further, the fire safety score further comprises a maintenance score, and the calculation of the maintenance score comprises the following steps:
step 221: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 2;
step 222: the processing module screens out fault alarms in the message information and counts the fault alarm times of the single fire-fighting internet of things device; wherein, the fire-fighting equipment with the failure alarm frequency larger than the set value is marked as maintenance bad equipment;
step 223: calculating to obtain a device maintenance score according to the number of the devices with poor maintenance;
step 224: obtaining a total maintenance score by combining a weight table according to the equipment maintenance score;
the device maintenance score is calculated in step 223 as:
wherein,
a device maintenance score representing the ith sub-item;
representing the number of the fire-fighting equipment in the ith sub-item;
representing the number of the dimension poor equipment in the ith sub item;
the maintenance score is calculated in step 224 as follows:
wherein s2 represents a maintenance score;
and representing the weight value corresponding to the ith sub-item in the weight table.
Further, the edge gateway in step 1 is an edge server; the edge gateway comprises a processing module, a storage module, a network communication module, a wireless communication module and a power supply module; the power supply module is electrically connected with the processing module, the network communication module and the wireless communication module respectively; the processing module is also in communication connection with the storage module, the network communication module and the wireless communication module respectively; the edge gateway is also in communication connection with the cloud data center and the fire-fighting alarm host respectively; the fire-fighting alarm host is in communication connection with the fire-fighting internet of things equipment.
The invention has the beneficial effects that:
by arranging the edge gateway and the cloud data center, the weight table is automatically acquired by the edge gateway, and the message information of the fire fighting equipment is acquired at regular time and is used for judging the state of the fire fighting equipment and grading the fire fighting level in a building unit, so that the problems of long time consumption, high possibility of error and the like caused by manual data processing are solved, and on the other hand, regular detection can be carried out according to a set period, so that the operability and instantaneity of the grading process are improved;
compared with the traditional unilateral scoring mode, the fire safety scoring can be embodied in multiple dimensions to obtain more objective scoring by setting the fire safety scoring including the operation state scoring, the maintenance scoring and the modification rate, and the operation state scoring, the maintenance scoring and the modification rate are obtained according to the fire alarm and the fault alarm in the message information to further ensure the objectivity of the scoring;
by analyzing the modification rate, the degree of importance of the building unit to the fire fighting level can be visually embodied, wherein under the condition of the same maintenance score, the higher the modification rate is, the more importance is given to the fire fighting;
the weight value of each sub item is obtained through a fuzzy analytic hierarchy process, and the fire safety score can truly reflect the fire safety level of a building unit.
Drawings
Fig. 1 is a connection structure diagram of a fire-fighting internet of things system according to a first embodiment of the invention;
FIG. 2 is a process of obtaining weights based on a fuzzy analytic hierarchy process according to a first embodiment of the present invention;
FIG. 3 is a diagram of a scoring framework according to a first embodiment of the present invention;
FIG. 4 is a flowchart illustrating a process of scoring an operating status according to a first embodiment of the present invention;
FIG. 5 is a flowchart of a maintenance score according to a first embodiment of the present invention;
fig. 6 is a flowchart of an adjustment rate according to a first embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The first embodiment is as follows:
as shown in fig. 1, a fire-fighting internet of things system comprises a cloud data center, an edge gateway, a fire-fighting alarm host and fire-fighting internet of things equipment; the cloud data center is in communication connection with the edge gateway; the edge gateway is in communication connection with the fire-fighting alarm host; the fire-fighting alarm host is in communication connection with the fire-fighting internet of things equipment.
The cloud data center comprises at least one cloud server and is used for processing and storing data transmitted by the edge gateway; it should be noted that the method for processing data by the cloud data center is an existing rule. The cloud data center is connected with the edge gateway through communication modes such as 4G and 5G. The cloud data center further comprises a display, wherein the display is used for displaying data transmitted by the fire-fighting alarm host, and human-computer interaction is convenient to realize.
The edge gateway is an edge server and is arranged corresponding to a building or a corresponding area. The edge gateway is arranged corresponding to the buildings, and one edge gateway is connected with all fire-fighting alarm hosts in one building or a set number of buildings; the corresponding area of the edge gateway is set to show that one edge gateway is connected with all fire-fighting alarm hosts within a radius range by taking the edge gateway as the center of a circle; in this example, an edge gateway is connected to a fire alarm host in a building unit. It should be noted that the building units may represent a single building or a same kind of building, and in this example, the building units represent a same kind of building.
The edge gateway comprises a processing module, a storage module, a network communication module, a wireless communication module and a power supply module. The power supply module is electrically connected with the processing module, the network communication module and the wireless communication module respectively; the processing module is also in communication connection with the storage module, the network communication module and the wireless communication module respectively.
The fire-fighting alarm host comprises a fire alarm controller and is used for receiving fire-fighting alarm information of the fire-fighting internet of things equipment; in this example, each floor of the building is provided with a fire alarm host.
The fire control thing allies oneself with equipment and indicates equipment that can send fire control alarm information etc. wherein fire control thing allies oneself with equipment and can send fire control alarm information according to environmental change is automatic, perhaps receives artificial control, sends fire control alarm information. The fire-fighting internet of things equipment comprises a smoke-sensing alarm, a temperature-sensing alarm, a manual alarm, a fire hydrant alarm, a mechanical smoke and smoke prevention and discharge system, an automatic spraying system, a water pump, a water tank system, a water flow indicator, a tail end water testing device, a fire water system valve, a fire-fighting rolling door, a fire door, an emergency lighting system, a fire-fighting power supply and distribution system, a gas fire extinguishing system, a foam fire extinguishing system, a combustible gas detection device and residual current detection equipment.
In the implementation process, the edge gateway is arranged, the data of the fire alarm host are analyzed by the edge gateway through the existing analysis method, and the analyzed data are uploaded to the cloud data center, so that the data processing burden of the cloud data center is greatly reduced, the data volume received by the cloud data center is also reduced, and the data transmission and analysis processes are accelerated.
A fire safety management method comprises the following steps:
step 1: a processing module of the edge gateway acquires a pre-stored weight table; acquiring message information of the fire-fighting internet of things equipment in the building unit within a set time period; the message information comprises fire alarm and fault alarm;
step 2: and the processing module obtains fire safety scores according to the message information and the weight table of the fire-fighting internet of things equipment.
As shown in fig. 2, the building units in step 1 represent a single building or a building of the same type; in this example, the building units represent buildings of the same category, because in an aggregated group, such as a residential district or an industrial park, the buildings in the aggregated group are generally similar buildings, and the building units represent buildings of the same category, so that the processing amount of fire-fighting related data can be greatly reduced. The weight table is obtained by processing of the cloud data center and is transmitted to the edge gateway for storage; wherein the weight table comprises the scoring weights of the respective scoring items, in this case the scoring weights of the respective sub-items; the acquisition of the weight table comprises the following steps:
step 11: the cloud data center acquires pre-stored fire protection management importance scoring results of the building units;
step 12: the cloud data center obtains a summary table according to the scoring result;
step 13: and obtaining a weight table of the fire safety level of the building unit from the summary table based on the fuzzy analytic hierarchy process.
The scoring result in step 11 is obtained based on a scoring table, wherein the scoring table includes a classification and sub-items, wherein the sub-items are items under the classification, in this example, the classification includes a fire-fighting facility operation state and a fire-fighting facility maintenance level, wherein the sub-items under the fire-fighting facility operation state include a fire automatic alarm system operation state, a fire-fighting water supply fire hydrant operation state, an automatic water-spraying fire-extinguishing system operation state, a smoke-proof and smoke-discharging system operation state, a fire-proof door and roller shutter system operation state, a gas water mist system operation state, a foam fire-extinguishing system operation state, a dry powder fire-extinguishing system operation state, a fire elevator operation state, an emergency broadcasting system operation state, an emergency lighting evacuation indication operation state, a fire-fighting power supply operation state and an electrical fire monitoring system operation state; the sub items of the maintenance level of the fire-fighting equipment include the fire automatic alarm system completion rate, the fire-fighting water supply fire hydrant completion rate, the automatic water-spraying fire-extinguishing system completion rate, the smoke-proof and smoke-discharging system completion rate, the fire-proof door and shutter system completion rate, the gas water mist system completion rate, the foam fire-extinguishing system completion rate, the dry powder fire-extinguishing system completion rate, the fire elevator completion rate, the emergency broadcasting system completion rate, the emergency lighting evacuation indication completion rate, the fire-fighting power supply completion rate, the electrical fire monitoring system completion rate and the maintenance completion rate. It should be noted that the sub-items included in the operation status of the fire fighting equipment and the maintenance level of the fire fighting equipment correspond to the fire fighting internet of things equipment. In the scoring result, a numerical value is set for each sub-item of the fire protection management level evaluation framework of the building units, the numerical value set in the embodiment represents the importance score of the sub-item, the score is 1-9, and the score is obtained through artificial scoring.
In the step 12, a summary table is formed by summarizing according to scoring results, wherein the vertical direction of the summary table represents each sub-item of the operation state and the maintenance level of the fire-fighting equipment, the horizontal direction of the summary table represents scoring scores, and numbers between the corresponding sub-items and the scoring scores represent the times of scoring the sub-items obtained by summarizing. The summary table is shown in table 1:
TABLE 1 summary of scoring results
Wherein A is1Indicating the operating state of the automatic fire alarm system, A2The running state of the fire hydrant is shown, and so on.
In the step 13, corresponding weight values are set for the sub-items; the weight value is obtained by analyzing the numerical value of the set weight by a fuzzy analytic hierarchy process. According to the fuzzy analytic hierarchy process, firstly, the minimum value l, the mode m and the maximum value u in each subentry are respectively counted according to the summary grading result in the table 1 to form a triple (l, m, u), and the triple (l) of each pair of any two subentries i and j under the operation state of the fire-fighting equipment and the maintenance level of the fire-fighting equipment is respectively subjected toi，mi，ui)，(lj，mj，uj) Comparing to obtain
After all triplets were obtained, a control paper (Nezarat H, Sereshki F, Ataei M. ranking of a pharmaceutical risks in a processed networking by using Fuzzy Analytical Process (FAHP) [ J HP ]]The Tunnelling and undergarcreund Space Technology, 2015, 50: 358-364.), the fuzzy value selection table is shown in Table 2, according to which
Determines the closest fuzzy value rijAnd forming a fuzzy matrix.
TABLE 2 fuzzy value selection Table
After obtaining the fuzzy matrix according to the fuzzy value, the total fuzzy value S of the ith aspect is obtained by row additioni：
Si＝∑jrij (1)
Wherein the fuzzy comprehensive degree P of the ith aspectiIs composed of
By comparing the degree of blur integration in different aspects, i.e. Pi＝(li，mi，ui) And Pj＝(lj，mj，uj) The degree of importance μ (i, j) between them is expressed by formula (3):
according to equation (3), after comparing the degrees of blur integration in any two aspects, an importance comparison matrix U ═ μ (i, j) is formed]n×n(ii) a Taking the minimum value of each row of the importance comparison matrix U, and carrying out normalization processing to obtain a weight matrix, as shown in formula (4):
wherein
p ∈ (1, n), representing the weight value of the pth term; a. thepP ∈ (1, n) represents the p-th item in the summary table; u (p,: p ∈ (1, n), represents all elements of the pth row of the significance comparison matrix U.
Wherein edge gateway is connected with all kinds of fire control thing allies oneself with equipment respectively, and wherein edge gateway can receive the running state that fire control thing allies oneself with equipment transmission. When the fire-fighting equipment detects a fire alarm signal, the fire alarm is transmitted to the edge gateway; when the fire-fighting Internet of things equipment breaks down, fault alarm is transmitted to the edge gateway.
As shown in fig. 3, after the weight table is obtained, the weight table is combined with the scoring table to obtain a scoring frame, so that the weight values in the weight table correspond to the sub-items in the scoring table, and a scoring system can be intuitively represented.
As shown in fig. 4-6, the fire safety score of step 2 includes a plurality of aspects related to fire fighting equipment, in this example, the fire safety score includes an operating condition score, a maintenance score and an improvement rate, wherein the calculating of the operating condition score includes the following steps:
step 211: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 1; setting time period t1 to five minutes in this example;
step 212: the processing module screens out fire alarms and fault alarms in the message information; calculating to obtain an initial equipment operation score according to the number of the fault alarms;
step 213: judging whether a fire alarm exists according to the screened message information; if the fire alarm exists, setting a division weight a for the sub-item corresponding to the fire-fighting internet of things equipment which sends out the fire alarm, and entering step 214; otherwise, go to step 215;
step 214: if the fire alarm exists, the number of fire alarms sent out at the same time or within a certain time interval is further judged, in the example, the number of fire alarms at the same time is judged; if the fire alarm quantity is more than or equal to two, the fire alarm linkage alarm of the fire-fighting internet of things equipment is represented, and the division weight b is set for all sub items in the operating state of the fire-fighting facility; otherwise, go to step 215;
step 215: and counting the scores of all the sub items to obtain the running state score.
The initial device running score in step 212 represents a running score of a certain sub-item obtained according to a set calculation rule; the calculation rule of the initial equipment running score is as follows:
wherein, UiA score representing initial device operation for the ith sub-item;
represents the ith sub-itemThe number of fire fighting internet of things devices contained in (a);
indicating the number of devices issuing a fault alarm in the ith sub-entry.
Both the subtractive weight a and the subtractive weight b in steps 213 and 214 are 0.4 in this example.
The sub-term score is calculated in step 215 as follows:
wherein,
representing the number of fire alarms sent by the fire fighting equipment in the ith sub-item;
representing a sub-item score; where a represents the value of the subtractive weight a, in this example 0.4.
The operating state score is calculated as follows:
wherein s1 represents the operating condition score of the building;
representing the weight value corresponding to the ith sub-item in the weight table; b represents the value of the subtractive weight b, which in this example is 0.4; and flag is a fire alarm linkage alarm flag bit and represents the fire alarm linkage alarm frequency occurring in a set time period t 1.
The calculation of the maintenance score comprises the following steps:
step 221: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 2; in this example, time period t2 is set to one month;
step 222: the processing module screens out fault alarms in the message information and counts the fault alarm times of the single fire-fighting internet of things device; wherein, the fire-fighting equipment with the failure alarm frequency larger than the set value is marked as maintenance bad equipment; in this example, the set value of the alarm times is 5 times;
step 223: calculating to obtain a device maintenance score according to the number of the devices with poor maintenance;
step 224: and obtaining a total maintenance score by combining the weight table according to the equipment maintenance score.
The device maintenance score is calculated in step 223 as:
wherein,
a device maintenance score representing the ith sub-item;
representing the number of the fire-fighting equipment in the ith sub-item;
indicating the number of dimension devices in the ith sub-entry.
The maintenance score is calculated in step 224 as follows:
wherein s2 represents a maintenance score;
and representing the weight value corresponding to the ith sub-item in the weight table.
The calculation of the correction rate comprises the following steps:
step 231: the processing module of the edge gateway screens message information of the fire fighting internet of things equipment in the first two set time periods t 3; in this example, the time period t3 is set to be one month, that is, message information of the first two months is screened;
step 232: respectively counting the maintenance defective equipment in the first t3 period and the second t3 period; wherein the first t3 cycle is closer to the present time than the second t3 cycle;
step 233: comparing the poor maintenance equipment in the two periods to obtain the sub-item correction rate;
step 234: and obtaining the total rectification rate according to the sub-item rectification rate.
In step 233, the sub-term correction rate is calculated as follows:
wherein,
indicating the sub-item rectification rate of the ith sub-item;
indicating the number of the maintenance defective devices in the ith sub-entry in the second t3 cycle;
indicating the number of devices listed as dimension defective devices in the ith sub-entry in both the first t3 cycle and the second t3 cycle.
In step 234, the total rate of modification is calculated as follows:
where s3 denotes the total rate of modification.
After the processing module in the step 2 obtains the fire safety score, the final score is uploaded to the cloud data center through the network communication module and is displayed uniformly by a display of the cloud data center, so that the fire level score of a building unit can be analyzed conveniently, and a fire safety rectification and improvement suggestion is provided based on the fire safety score.
In this example, with equations (1) to (4) in combination with Table 1, a weight table 3 is obtained as follows:
TABLE 3 weight Table based on scoring result summary Table
In the implementation process, the edge gateway and the cloud data center are arranged, the weight table is automatically obtained by the edge gateway, the message information is obtained at regular time and is used for judging the state of the fire-fighting equipment and grading the fire-fighting level in a building unit, the problems of long time consumption, high possibility of error and the like caused by manual processing are solved, on the other hand, the detection can be carried out according to the set period, and the operability and instantaneity of the grading process are improved; compared with the traditional unilateral scoring mode, the fire safety scoring can be embodied in multiple dimensions to obtain more objective scoring by setting the fire safety scoring including the operation state scoring, the maintenance scoring and the modification rate, and the operation state scoring, the maintenance scoring and the modification rate are obtained according to the fire alarm and the fault alarm in the message information to further ensure the objectivity of the scoring; the weight value of each sub item is obtained through a fuzzy analytic hierarchy process, and the fire safety score can truly reflect the fire safety level of a building unit.
The above description is only one specific example of the present invention and should not be construed as limiting the invention in any way. It will be apparent to persons skilled in the relevant art(s) that, having the benefit of this disclosure and its principles, various modifications and changes in form and detail can be made without departing from the principles and structures of the invention, which are, however, encompassed by the appended claims.
Claims (9)
1. A fire safety management method is characterized by comprising the following steps:
step 1: a processing module of the edge gateway acquires a pre-stored weight table; acquiring message information of the fire-fighting internet of things equipment in the building unit within a set time period; the message information comprises fire alarm and fault alarm;
step 2: and the processing module obtains fire safety scores according to the message information and the weight table of the fire-fighting internet of things equipment.
2. A fire safety management method according to claim 1, wherein the weight table in step 1 is obtained by processing in a cloud data center and transmitted to an edge gateway for storage; the weight table comprises scoring weights of all scoring items; the acquisition of the weight table comprises the following steps:
step 11: the cloud data center acquires pre-stored fire protection management importance scoring results of the building units;
step 12: the cloud data center obtains a summary table according to the scoring result;
step 13: and obtaining a weight table of the fire safety level of the building unit from the summary table based on the fuzzy analytic hierarchy process.
3. A fire safety management method according to claim 2, wherein the scoring in step 11 is obtained based on a scoring table; the scoring table comprises a classification and sub items, and the sub items are classified items; the classification comprises a fire-fighting facility running state and a fire-fighting facility maintenance level, wherein sub-items in the fire-fighting facility running state comprise a fire automatic alarm system running state, a fire-fighting water supply fire hydrant running state, an automatic water-spraying fire-extinguishing system running state, a smoke-proof and smoke-discharging system running state, a fire door and roller shutter system running state, a gas water mist system running state, a foam fire-extinguishing system running state, a dry powder fire-extinguishing system running state, a fire elevator running state, an emergency broadcasting system running state, an emergency lighting evacuation indication running state, a fire-fighting power supply running state and an electric fire monitoring system running state; the sub items of the maintenance level of the fire-fighting equipment comprise the fire automatic alarm system completion rate, the fire-fighting water supply fire hydrant completion rate, the automatic water-spraying fire-extinguishing system completion rate, the smoke-proof and smoke-discharging system completion rate, the fire-proof door and roller shutter system completion rate, the gas water mist system completion rate, the foam fire-extinguishing system completion rate, the dry powder fire-extinguishing system completion rate, the fire elevator completion rate, the emergency broadcasting system completion rate, the emergency lighting evacuation indication completion rate, the fire-fighting power supply completion rate, the electrical fire monitoring system completion rate and the maintenance completion rate; in the scoring result, a numerical value is set for each sub-entry of the scoring table.
4. A fire safety management method according to claim 3, wherein in the step 12, a summary table is summarized according to scoring results, wherein the vertical direction of the summary table represents sub-items of the fire fighting equipment operation state and the fire fighting equipment maintenance level, the horizontal direction of the summary table represents scoring scores, and numbers between the corresponding sub-items and the scoring scores represent the number of times the scoring is performed by the summarized sub-items.
5. A fire safety management method according to claim 4, wherein in the step 13, corresponding weight values are set for all sub items; the weight value is obtained by analyzing the numerical value of the set weight by a fuzzy analytic hierarchy process; firstly, respectively counting the minimum value l, the mode m and the maximum value u in each sub-item according to the summary scoring result in a summary table to form a triple (l, m, u), and respectively counting the triple (l) of each pair of any two sub-items i and j under the operation state of the fire-fighting equipment and the maintenance level of the fire-fighting equipmenti,mi,ui),(lj,mj,uj) Comparing to obtain
After all the triples are obtained, the selection table is compared with the fuzzy value according to
Determines the closest fuzzy value rijForming a fuzzy matrix;
after obtaining the fuzzy matrix according to the fuzzy value, the total fuzzy value S of the ith aspect is obtained by row additioni：
Si＝∑jrij (1)
Wherein the fuzzy comprehensive degree P of the ith aspectiIs composed of
By comparing the degree of blur integration in different aspects, i.e. Pi＝(li,mi,ui) And Pj＝(lj,mj,uj) By using
The degree of importance μ (i, j) between them is expressed by formula (3):
according to equation (3), after comparing the degrees of blur integration in any two aspects, an importance comparison matrix U ═ μ (i, j) is formed]n×n(ii) a Taking the minimum value of each row of the importance comparison matrix U, and carrying out normalization processing to obtain a weight matrix, as shown in formula (4):
wherein
Represents the weight of the pth term; a. thepAnd p ∈ (1, n) representsItem p in the summary table;
u (p,: p ∈ (1, n), represents all elements of the pth row of the significance comparison matrix U.
6. A fire safety management method according to claim 5, wherein the fire safety score of step 2 comprises an operating state score, and wherein the calculation of the operating state score comprises the steps of:
step 211: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 1;
step 212: the processing module screens out fire alarms and fault alarms in the message information; calculating to obtain an initial equipment operation score according to the number of the fault alarms;
step 213: judging whether a fire alarm exists according to the screened message information; if the fire alarm exists, setting a division weight a for the sub-item corresponding to the fire-fighting internet of things equipment which sends out the fire alarm, and entering step 214; otherwise, go to step 215;
step 214: if the fire alarm exists, the number of fire alarms sent out at the same time or within a certain time interval is further judged; if the fire alarm quantity is more than or equal to two, the fire alarm linkage alarm of the fire-fighting internet of things equipment is represented, and the division weight b is set for all sub items in the operating state of the fire-fighting facility; otherwise, go to step 215;
step 215: and counting the scores of all the sub items to obtain the running state score.
7. A fire safety management method according to claim 6, wherein the initial device operation score in step 212 represents an operation score of a sub-item according to a set calculation rule; the calculation rule of the initial equipment running score is as follows:
wherein, UiRepresents the ithA score of initial device operation for the sub-item;
representing the number of the fire-fighting equipment in the ith sub-item;
the number of devices which send out fault alarms in the ith sub item is represented;
the sub-term score is calculated in step 215 as follows:
wherein,
representing the number of fire alarms sent by the fire fighting equipment in the ith sub-item;
representing a sub-item score; wherein a represents the value of the subtractive weight a;
the operating state score is calculated as follows:
wherein s1 represents the operating condition score of the building;
representing the weight value corresponding to the ith sub-item in the weight table; b represents the value of the subtractive weight b; and flag is a fire alarm linkage alarm flag bit and represents the fire alarm linkage alarm frequency occurring in a set time period t 1.
8. A fire safety management method according to claim 6, wherein the fire safety score further comprises a maintenance score, and the calculation of the maintenance score comprises the steps of:
step 221: a processing module of the edge gateway screens message information of the fire fighting internet of things equipment in a set time period t 2;
step 222: the processing module screens out fault alarms in the message information and counts the fault alarm times of the single fire-fighting internet of things device; wherein, the fire-fighting equipment with the failure alarm frequency larger than the set value is marked as maintenance bad equipment;
step 223: calculating to obtain a device maintenance score according to the number of the devices with poor maintenance;
step 224: obtaining a total maintenance score by combining a weight table according to the equipment maintenance score;
the device maintenance score is calculated in step 223 as:
wherein,
a device maintenance score representing the ith sub-item;
representing the number of the fire-fighting equipment in the ith sub-item;
representing the number of the dimension poor equipment in the ith sub item;
the maintenance score is calculated in step 224 as follows:
wherein s2 represents a maintenance score;
and representing the weight value corresponding to the ith sub-item in the weight table.
9. A fire safety management method according to claim 1, wherein the edge gateway in step 1 is an edge server; the edge gateway comprises a processing module, a storage module, a network communication module, a wireless communication module and a power supply module; the power supply module is electrically connected with the processing module, the network communication module and the wireless communication module respectively; the processing module is also in communication connection with the storage module, the network communication module and the wireless communication module respectively; the edge gateway is also in communication connection with the cloud data center and the fire-fighting alarm host respectively; the fire-fighting alarm host is in communication connection with the fire-fighting internet of things equipment.
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