CN113792972A - Fire safety management method - Google Patents

Abstract

The invention provides a fire safety management method. By setting an edge gateway and a cloud data center, the edge gateway automatically obtains a weight table, and regularly obtains the message information of the fire protection IOT equipment, judges the state of the fire protection IOT equipment, and provides information to the building. The fire protection level in the unit is scored, which avoids the time-consuming and error-prone problems caused by manual processing. On the other hand, it can also be tested according to the set period, which improves the operability and immediacy of the scoring process.

Description

A method of fire safety management

technical field

The invention relates to the field of fire safety, in particular to a fire safety management method.

Background technique

In order to strengthen the fire safety management level of construction units, improve the self-defense and self-rescue ability of each unit to fire and the ability to respond to fires, and protect personal and property safety, all construction units need to follow laws and regulations and relevant state regulations. Evaluate the level of fire safety management, and rectify the construction units that do not meet the standards.

In order to complete the evaluation of the fire safety management level of the building unit, the engineering personnel of the qualified maintenance unit will manually check the fire protection management level in the building, and check the integrity of the relevant fire equipment. However, at present, these evaluations are conducted through monthly sampling inspections by maintenance company personnel, which cannot fully evaluate the maintenance status of each equipment, and there is no scientific quantitative standard to display the results of maintenance investigations. At the same time, maintenance data needs to be checked manually, data collection is inefficient, time-consuming, and prone to fraud. In addition, the fire-fighting IoT data collected in each building has not been fully used, and the format of the fire-fighting IoT data obtained from different businesses on the market is not the same, which is not conducive to further data analysis and is not convenient for further analysis. The fire management level of the building. These drawbacks have made the development of fire management level evaluation stagnant.

SUMMARY OF THE INVENTION

The purpose of the present invention is to solve the deficiencies of the prior art and provide a fire safety management method with simple structure and convenient use.

A fire safety management method, comprising the following steps:

Step 1: The processing module of the edge gateway obtains the pre-stored weight table; and obtains the message information of the fire-fighting IoT equipment in the building unit within the set time period; the message information includes fire alarm and fault alarm;

Step 2: The processing module obtains a fire safety score according to the message information of the fire protection IoT device and the weight table.

Further, in the step 1, the weight table is processed and obtained by the cloud data center, and transmitted to the edge gateway for storage; the weight table includes the scoring weight of each scoring item; the acquisition of the weight table includes the following steps:

Step 11: The cloud data center obtains the pre-stored building unit fire management importance score results;

Step 12: The cloud data center obtains a summary table according to the scoring results;

Step 13: Based on the fuzzy analytic hierarchy process, obtain the weight table of the fire safety level of the building unit from the summary table.

Further, the scoring result in the step 11 is obtained based on the scoring table; wherein the scoring table includes categories and sub-items, and the sub-items are the items under the category; The sub-items under the running status include the running status of the automatic fire alarm system, the running status of the fire water supply and fire hydrant, the running status of the automatic sprinkler system, the running status of the smoke prevention and exhaust system, the running status of the fire door and rolling shutter system, and the gas water mist system. Operation status, operation status of foam fire extinguishing system, operation status of dry powder fire extinguishing system, operation status of fire elevator, operation status of emergency broadcasting system, operation status of emergency lighting evacuation indication, operation status of fire power supply and operation status of electrical fire monitoring system; maintenance level of fire protection facilities The sub-items include the integrity rate of automatic fire alarm system, the integrity rate of fire water supply and fire hydrant, the integrity rate of automatic sprinkler system, the integrity rate of smoke prevention and exhaust system, the integrity rate of fire door and rolling shutter system, the integrity rate of gas water mist system, The integrity rate of the foam fire extinguishing system, the integrity rate of the dry powder fire extinguishing system, the integrity rate of the fire elevator, the integrity rate of the emergency broadcasting system, the integrity rate of the emergency lighting evacuation instructions, the integrity rate of the fire power supply, the integrity rate of the electrical fire monitoring system, and the maintenance rectification rate; , the value set for each sub-item of the scoring table.

Further, in the step 12, the summary table is formed by summarizing the scoring results, wherein the vertical direction of the summary table indicates the operation status of the fire protection facilities and the sub-items of the maintenance level of the fire protection facilities, and the horizontal direction of the summary table indicates the scoring score. The number between the sub-item and the scoring score indicates the total number of times that sub-item made the score.

得到所有的三元组后，对照模糊值选取表，根据

的比值确定最接近的模糊值r_ij，形成模糊矩阵；Further, in the step 13, a corresponding weight value is set for each sub-item; the weight value is obtained by analyzing the value of the set weight by the fuzzy analytic hierarchy process; first, according to the summary scoring results in the summary table, statistics for each item are separately counted. The minimum value l, the mode m and the maximum value u in the sub-items form a triple (l, m, u), respectively, for each pair of any two sub-items i under the operating status of the fire-fighting facilities and the maintenance level of the fire-fighting facilities , the triples of j (l _i , m _i , u _i ), (l _j , m _j , u _j ) are compared to get

After getting all the triples, select the table according to the fuzzy value, according to

The ratio of , determines the closest fuzzy value r _ij to form a fuzzy matrix;

After the fuzzy matrix is obtained according to the fuzzy values, the total fuzzy value S _i of the i-th aspect is obtained by row-wise addition:

S _i =∑ _j r _ij (1)

Among them, the fuzzy comprehensive degree Pi of the _i -th aspect is

By comparing the fuzzy comprehensive degree of different aspects, namely P _i = (li , m _i , u _i ) and P _j = (l _j , m _j , _{u j )} , formula (3) is used to express the importance between them Sex degree μ(i, j):

According to formula (3), after comparing the fuzzy comprehensive degree of any two aspects, an importance comparison matrix U=[μ(i, j)] _{n×n is} formed; taking the minimum value of each row of the importance comparison matrix U, And normalize the weight matrix to get the weight matrix, as shown in formula (4):

p∈(1，n)，表示第p项的权重；A_p，p∈(1，n)表示汇总表中第p项；U(p，：)，p∈(1，n)，表示重要性比较矩阵U的第p行所有元素。in

p∈(1,n), represents the weight of the pth item; A _p , p∈(1,n) represents the pth item in the summary table; U(p,:), p∈(1,n), represents the important Compare all elements in the pth row of matrix U.

Further, the fire safety score in step 2 includes a running state score, and the calculation of the running state score includes the following steps:

Step 211: The processing module of the edge gateway filters the message information of the fire-fighting IoT equipment within the set time period t1;

Step 212: the processing module filters out the fire alarm and the fault alarm in the message information; calculates and obtains the initial equipment operation score according to the number of fault alarms;

Step 213: Determine whether there is a fire alarm according to the filtered message information; if there is a fire alarm, set the deduction weight a for the sub-item corresponding to the fire-fighting IoT device that issued the fire alarm, and go to Step 214; otherwise, go to Step 215 ;

Step 214: If there is a fire alarm, then further determine the number of fire alarms issued at the same time or within a certain time interval; if the number of fire alarms is greater than or equal to two, it means that the fire-fighting IoT equipment has carried out a fire-alarm linkage alarm, and the fire-fighting facilities are in the operating state. Set the deduction weight b for all sub-items of ; otherwise, go to step 215;

Step 215: Count the scores of all sub-items to obtain the running status score.

Further, the initial equipment running score in the step 212 represents the running score of a certain sub-item obtained according to the set calculation rule; the calculation rule of the initial equipment running score is as follows:

表示第i个子项中包含的消防物联设备的数量；

表示第i个子项中发出故障报警的设备数量；Among them, U _i represents the score of the initial equipment operation of the ith sub-item;

Indicates the number of firefighting IoT devices contained in the i-th sub-item;

Indicates the number of devices that issue fault alarms in the i-th sub-item;

The calculation of the sub-item score in step 215 is as follows:

表示第i个子项中的消防物联设备发出的火警报警次数；

表示子项得分；其中a表示减分权数a的值；in,

Indicates the number of fire alarms issued by the fire-fighting IoT equipment in the i-th sub-item;

Indicates the sub-item score; where a represents the value of the deduction weight a;

The calculation process of the running status score is as follows:

表示在权重表中第i个子项对应的权重值；b表示减分权数b的值；flag为火警联动报警标志位，表示在设定时间周期t1内发生的火警联动报警次数。Among them, s1 represents the operating status score of the building;

Represents the weight value corresponding to the i-th sub-item in the weight table; b represents the value of the subtracted weight b; flag is the fire alarm linkage alarm flag bit, which indicates the number of fire alarm linkage alarms that occur within the set time period t1.

Further, the fire safety score also includes a maintenance score, and the calculation of the maintenance score includes the following steps:

Step 221: The processing module of the edge gateway filters the message information of the fire-fighting IoT equipment within the set time period t2;

Step 222: The processing module filters out the fault alarms in the message information, and counts the number of fault alarms of a single fire-fighting IoT device; wherein the fire-fighting IoT devices whose fault alarm times are greater than the set value are marked as equipment with poor maintenance;

Step 223: Calculate and obtain equipment maintenance scores according to the number of poorly maintained equipment;

Step 224: According to the equipment maintenance score, combined with the weight table to obtain the total maintenance score;

The calculation of the equipment maintenance score in step 223 is:

表示第i个子项的设备维保得分；

表示第i个子项中包含的消防物联设备的数量；

表示第i个子项中维保不良设备的数量；in,

Indicates the equipment maintenance score of the i-th sub-item;

Indicates the number of firefighting IoT devices contained in the i-th sub-item;

Indicates the number of poorly maintained equipment in the i-th sub-item;

The maintenance score is calculated in step 224 as follows:

表示在权重表中第i个子项对应的权重值。Among them, s2 represents the maintenance score;

Indicates the weight value corresponding to the i-th sub-item in the weight table.

Further, the edge gateway in the step 1 is an edge server; the edge gateway includes 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 to the processing module, the network communication module and the wireless communication module respectively. The processing module is also connected to the storage module, the network communication module and the wireless communication module respectively; the edge gateway is also connected to the cloud data center and the fire alarm host respectively; the fire alarm host is also connected to the fire equipment.

The beneficial effects of the present invention are:

By setting the edge gateway and the cloud data center, the edge gateway automatically obtains the weight table, and regularly obtains the message information of the fire-fighting IoT equipment, which is used to judge the status of the fire-fighting IoT equipment, and score the fire protection level in the building unit to avoid It eliminates the time-consuming and error-prone problems caused by manual data processing. On the other hand, it can also perform regular inspections according to the set period, which improves the operability and immediacy of the scoring process;

By setting the fire safety score including the operation status score, maintenance score and rectification rate, compared with the traditional unilateral scoring method, the fire safety score can be reflected in multiple dimensions, and a more objective score can be obtained. The status score, maintenance score and rectification rate are obtained according to the fire alarm and fault alarm in the message information, which further ensures the objectivity of the score;

By analyzing the rectification rate, it can intuitively reflect the importance that the building unit attaches to the fire protection level. In the case of the same maintenance score, the higher the rectification rate, the more attention it pays to fire protection;

Through the fuzzy analytic hierarchy process, the weight value of each sub-item is obtained to ensure that the obtained fire safety score can truly reflect the fire safety level of the building unit.

Description of drawings

FIG. 1 is a connection structure diagram of a fire protection Internet of Things system according to Embodiment 1 of the present invention;

Fig. 2 is the process of obtaining weight based on fuzzy AHP according to Embodiment 1 of the present invention;

3 is a schematic diagram of a scoring framework according to Embodiment 1 of the present invention;

FIG. 4 is a flow chart of running state scoring according to Embodiment 1 of the present invention;

Fig. 5 is the flow chart of the maintenance score of Embodiment 1 of the present invention;

FIG. 6 is a flow chart of the rectification rate according to the first embodiment of the present invention.

Detailed ways

The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.

It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of components in actual implementation. For dimension drawing, the type, quantity and proportion of each component can be changed at will in actual implementation, and the component layout may also be more complicated.

Example 1:

As shown in Figure 1, a fire IoT system includes a cloud data center, an edge gateway, a fire alarm host, and a fire IoT device; the cloud data center is connected to the edge gateway; the edge gateway is connected to the fire alarm host; The alarm host communicates with the fire-fighting IoT device.

The cloud data center includes at least one cloud server, and the cloud data center is used to process and store data transmitted by the edge gateway; it should be noted that the method of the cloud data center to process data is an existing rule. The cloud data center is connected to the edge gateway through 4G, 5G and other communication methods. The cloud data center also includes a display, wherein the display is used to display the data transmitted by the fire alarm host, so as to facilitate human-computer interaction.

The edge gateway is an edge server, and the edge gateway is set corresponding to a building or a corresponding area. The setting of the edge gateway corresponding to the building means that one edge gateway is connected to all fire alarm hosts in one or a set number of buildings; the setting of the corresponding area of the edge gateway means that an edge gateway is connected with it as the center and within the set radius All the fire alarm panels in the building; in this example an edge gateway is connected to the fire alarm panels in a building unit. It should be noted that the building unit may represent a single building or the same type of building, in this example, the building unit represents the same type of building.

The edge gateway includes a processing module, a storage module, a network communication module, a wireless communication module and a power supply module. The power supply module is respectively electrically connected with the processing module, the network communication module and the wireless communication module; the processing module is also connected in communication with the storage module, the network communication module and the wireless communication module respectively.

The fire alarm host includes a fire alarm controller, and the fire alarm host is used to receive fire alarm information from the fire-fighting IoT device; in this example, a fire alarm host is set on each floor of the building.

The fire-fighting IoT device refers to a device that can send out fire-fighting alarm information. Fire-fighting IoT equipment includes smoke alarms, temperature alarms, manual alarms, fire hydrant alarms, mechanical smoke prevention and exhaust systems, automatic sprinkler systems, water pumps, water tank systems, water flow indicators, terminal water testing devices, fire water System valves, fire shutter doors, fire doors, emergency lighting systems, fire power supply and distribution systems, gas fire extinguishing, foam fire extinguishing systems, combustible gas detection devices, residual current detection equipment.

In the process of implementation, by setting up an edge gateway, the edge gateway uses the existing analysis method to analyze the data of the fire alarm host, and finally uploads the analyzed data to the cloud data center, which greatly reduces the cost of the cloud data center. The burden of processing data also reduces the amount of data accepted by the cloud data center, speeding up the process of data transmission and analysis.

A fire safety management method, comprising the following steps:

Step 1: The processing module of the edge gateway obtains the pre-stored weight table; and obtains the message information of the fire-fighting IoT equipment in the building unit within the set time period; the message information includes fire alarm and fault alarm;

Step 2: The processing module obtains a fire safety score according to the message information of the fire protection IoT device and the weight table.

As shown in Figure 2, the construction unit in the step 1 represents a single building or the same type of building; in this example, the construction unit represents the same type of building, because in an aggregated group, such as a residential area or an industrial In the park, the buildings in it are generally similar buildings, and the buildings of the same type are represented by building units, which can greatly reduce the processing volume of fire-related data. The weight table is processed and obtained by the cloud data center and transmitted to the edge gateway for storage; the weight table includes the scoring weight of each scoring item, in this case, the scoring weight of each sub-item; the acquisition of the weight table includes the following steps:

Step 11: The cloud data center obtains the pre-stored building unit fire management importance score results;

Step 12: The cloud data center obtains a summary table according to the scoring results;

Step 13: Based on the fuzzy analytic hierarchy process, obtain the weight table of the fire safety level of the building unit from the summary table.

The scoring result in step 11 is obtained based on the scoring table, wherein the scoring table includes classification and sub-items, wherein the sub-items are the items under the classification. In this example, the classification includes the operation status of fire protection facilities and the maintenance level of fire protection facilities, in which fire protection The sub-items under the operating status of the facility include the operating status of the automatic fire alarm system, the operating status of the fire water supply and fire hydrant, the operating status of the automatic sprinkler system, the operating status of the smoke prevention and exhaust system, the operating status of the fire door and rolling shutter system, and the gas water mist. System operation status, foam fire extinguishing system operation status, dry powder fire extinguishing system operation status, fire elevator operation status, emergency broadcast system operation status, emergency lighting evacuation indication operation status, fire power supply operation status and electrical fire monitoring system operation status; maintenance of fire protection facilities The horizontal sub-items include the integrity rate of the automatic fire alarm system, the integrity rate of the fire water supply and fire hydrant, the integrity rate of the automatic sprinkler system, the integrity rate of the smoke prevention and exhaust system, the integrity rate of the fire door and roller shutter system, and the integrity rate of the gas water mist system. , the integrity rate of foam fire extinguishing system, the integrity rate of dry powder fire extinguishing system, the integrity rate of fire elevators, the integrity rate of emergency broadcasting system, the integrity rate of emergency lighting evacuation instructions, the integrity rate of fire power supply, the integrity rate of electrical fire monitoring system, and the maintenance and rectification rate. It should be noted that the sub-items included in the operation status of fire-fighting facilities and the maintenance level of fire-fighting facilities correspond to the fire-fighting IOT equipment. In the scoring results, the numerical value set for each sub-item of the fire management level evaluation framework of the building unit, the numerical value set in this example represents the importance score of the sub-item, and the scoring score ranges from 1 to 9. Obtained by human scoring.

In the step 12, the summary table is formed by summarizing the scoring results, wherein the vertical direction of the summary table represents each sub-item of the operation status of fire protection facilities and the maintenance level of fire-fighting facilities, and the horizontal direction of the summary table indicates the scoring score, and the corresponding sub-item The number between the score and the score indicates the total number of times the sub-item has been scored. The summary table is shown in Table 1:

Table 1 Summary of scoring results

Among them, A ₁ represents the running state of the automatic fire alarm system, A ₂ represents the running state of the fire water supply and fire hydrant, and so on.

得到所有的三元组后，对照论文(Nezarat H，Sereshki F，Ataei M.Ranking of geological risks in mechanized tunneling by using FuzzyAnalytical Hierarchy Process(FAHP)[J].Tunnelling and Underground SpaceTechnology，2015，50：358-364.)中提出的模糊值选取表，模糊值选取表如表2所示，根据

的比值确定最接近的模糊值r_ij，形成模糊矩阵。In the step 13, a corresponding weight value is set for each sub-item; the weight value is obtained by analyzing the numerical value of the set weight by the fuzzy analytic hierarchy process. Among them, the fuzzy analytic hierarchy process first needs to count the minimum value l, mode m and maximum value u in each sub-item according to the summary scoring results in Table 1, to form a triple (l, m, u), respectively Compare the triples (l _i , m _i , u _i ) and (l _j , m _j , u _j ) of each pair of any two sub-items i, j under the operating status of fire-fighting facilities and the maintenance level of fire-fighting facilities, get

After getting all the triples, compare the papers (Nezarat H, Sereshki F, Ataei M. Ranking of geological risks in mechanized tunneling by using FuzzyAnalytical Hierarchy Process(FAHP)[J].Tunnelling and Underground SpaceTechnology, 2015, 50: 358- 364.) proposed fuzzy value selection table, the fuzzy value selection table is shown in Table 2, according to

The ratio of , determines the closest blur value r _ij , forming a blur matrix.

Table 2 Fuzzy value selection table

After the fuzzy matrix is obtained according to the fuzzy values, the total fuzzy value S _i of the i-th aspect is obtained by row-wise addition:

S _i =∑ _j r _ij (1)

Among them, the fuzzy comprehensive degree Pi of the _i -th aspect is

By comparing the fuzzy comprehensive degree of different aspects, namely P _i = (li , m _i , u _i ) and P _j = (l _j , m _j , _{u j )} , formula (3) is used to express the importance between them Sex degree μ(i, j):

According to formula (3), after comparing the fuzzy comprehensive degree of any two aspects, an importance comparison matrix U=[μ(i, j)] _{n×n is} formed; taking the minimum value of each row of the importance comparison matrix U, And normalize the weight matrix to get the weight matrix, as shown in formula (4):

p∈(1，n)，表示第p项的权重值；A_p，p∈(1，n)表示汇总表中第p项；U(p，：)，p∈(1，n)，表示重要性比较矩阵U的第p行所有元素。in

p∈(1,n), represents the weight value of the pth item; A _p , p∈(1,n) represents the pth item in the summary table; U(p,:), p∈(1,n), represents The importance compares all elements in the pth row of the matrix U.

The edge gateways are respectively connected with various firefighting IoT devices, and the edge gateways can receive the operating status transmitted by the firefighting IoT devices. When the fire-fighting IoT device detects a fire alarm signal, it will transmit a fire alarm to the edge gateway; when the fire-fighting IoT device fails, it will transmit a fault alarm to the edge gateway.

As shown in Figure 3, it should be noted that after the weight table is obtained, the weight table will be combined with the scoring table to obtain a scoring framework, so that the weight values in the weight table correspond to the sub-items in the scoring table, which can be intuitively reflect the scoring system.

As shown in Figure 4-6, the fire safety score in step 2 includes various aspects about the fire-fighting IoT equipment. In this example, the fire safety score includes the operation status score, maintenance score and rectification rate. The calculation of the score includes the following steps:

Step 211: The processing module of the edge gateway filters the message information of the fire-fighting IoT equipment within the set time period t1; in this example, the set time period t1 is five minutes;

Step 212: the processing module filters out the fire alarm and the fault alarm in the message information; calculates and obtains the initial equipment operation score according to the number of fault alarms;

Step 213: Determine whether there is a fire alarm according to the filtered message information; if there is a fire alarm, set the deduction weight a for the sub-item corresponding to the fire-fighting IoT device that issued the fire alarm, and go to Step 214; otherwise, go to Step 215 ;

Step 214: If there is a fire alarm, then further determine the number of fire alarms issued at the same time or within a certain time interval, in this example, to determine the number of fire alarms at the same time; if the number of fire alarms is greater than or equal to two, it means that the fire-fighting IOT equipment If the fire alarm linkage alarm is carried out, the deduction weight b is set for all the sub-items in the operating state of the fire protection facilities; otherwise, go to step 215;

Step 215: Count the scores of all sub-items to obtain the running status score.

The initial equipment operation score in step 212 represents the operation score of a certain sub-item obtained according to the set calculation rule; the calculation rule of the initial equipment operation score is as follows:

表示第i个子项中包含的消防物联设备的数量；

表示第i个子项中发出故障报警的设备数量。Among them, U _i represents the score of the initial equipment operation of the ith sub-item;

Indicates the number of firefighting IoT devices contained in the i-th sub-item;

Indicates the number of devices that issue fault alarms in the i-th sub-item.

In step 213 and step 214, the deduction weight a and the deduction weight b are both 0.4 in this example.

The calculation of the sub-item score in step 215 is as follows:

表示第i个子项中的消防物联设备发出的火警报警次数；

表示子项得分；其中a表示减分权数a的值，在本例中为0.4。in,

Indicates the number of fire alarms issued by the fire-fighting IoT equipment in the i-th sub-item;

Represents the sub-item score; where a represents the value of the deduction weight a, which in this case is 0.4.

The calculation process of the running status score is as follows:

表示在权重表中第i个子项对应的权重值；b表示减分权数b的值，在本例中为0.4；flag为火警联动报警标志位，表示在设定时间周期t1内发生的火警联动报警次数。Among them, s1 represents the operating status score of the building;

Indicates the weight value corresponding to the i-th sub-item in the weight table; b represents the value of the deduction weight b, which is 0.4 in this example; flag is the fire alarm linkage alarm flag bit, indicating that the fire alarm occurred within the set time period t1 Number of linkage alarms.

The calculation of maintenance score includes the following steps:

Step 221: The processing module of the edge gateway filters the message information of the fire protection IoT equipment within the set time period t2; in this example, the set time period t2 is one month;

Step 222: The processing module filters out the fault alarms in the message information, and counts the number of fault alarms of a single fire-fighting IoT device; wherein the fire-fighting IoT devices whose fault alarm times are greater than the set value are marked as equipment with poor maintenance; In the example, the set value of the number of alarms is 5;

Step 223: Calculate and obtain equipment maintenance scores according to the number of poorly maintained equipment;

Step 224: According to the equipment maintenance score, combined with the weight table to obtain the total maintenance score.

The calculation of the equipment maintenance score in step 223 is:

表示第i个子项的设备维保得分；

表示第i个子项中包含的消防物联设备的数量；

表示第i个子项中维保不良设备的数量。in,

Indicates the equipment maintenance score of the i-th sub-item;

Indicates the number of firefighting IoT devices contained in the i-th sub-item;

Indicates the number of poorly maintained equipment in the i-th sub-item.

The maintenance score is calculated in step 224 as follows:

表示在权重表中第i个子项对应的权重值。Among them, s2 represents the maintenance score;

Indicates the weight value corresponding to the i-th sub-item in the weight table.

The calculation of the correction rate includes the following steps:

Step 231: The processing module of the edge gateway filters the message information of the fire-fighting IoT devices within the first two set time periods t3; text information;

Step 232: Counting the maintenance-defective equipment in the first t3 period and the second t3 period respectively; wherein the first t3 period is closer to the current moment than the second t3 period;

Step 233: Compare the poorly maintained equipment in the two cycles to obtain the rectification rate of the sub-item;

Step 234: Obtain the total rectification rate according to the rectification rate of the sub-items.

In step 233, the calculation of the sub-item correction rate is as follows:

表示第i个子项的子项整改率；

表示在第二个t3周期内的第i个子项中维保不良设备的数量；

表示第i个子项中在第一个t3周期以及第二个t3周期内均被列为维保不良设备的设备数量。in,

Represents the sub-item rectification rate of the i-th sub-item;

Indicates the number of poorly maintained equipment in the i-th sub-item in the second t3 period;

Indicates the number of devices in the i-th sub-item that are listed as poorly maintained devices in both the first t3 period and the second t3 period.

In step 234, the total correction rate is calculated as follows:

Among them, s3 represents the total rectification rate.

After the processing module in step 2 obtains the fire safety score, the final score will be uploaded to the cloud data center through the network communication module, and the display of the cloud data center will display it uniformly, which is convenient for analyzing the fire protection level score of the building unit. This is a proposal for fire safety rectification.

In this example, by combining formulas (1)-(4) with table 1, the weight table table 3 is obtained as follows:

Table 3 Weight table based on the summary table of scoring results

In the process of implementation, by setting up the edge gateway and cloud data center, the edge gateway automatically obtains the weight table, and regularly obtains the message information, which is used to judge the status of the fire-fighting IoT equipment and score the fire-fighting level in the building unit. It avoids the time-consuming and error-prone problems caused by manual processing. On the other hand, detection can be performed according to the set period, and the operability and immediacy of the scoring process are improved; Compared with the traditional unilateral scoring method, the fire safety score can be reflected in multiple dimensions and obtain a more objective score, and the operation status score, maintenance score and rectification rate are all According to the fire alarm and fault alarm in the message information, the objectivity of the score is further guaranteed; through the fuzzy analytic hierarchy process, the weight value of each sub-item is obtained to ensure that the obtained fire safety score can truly reflect the fire safety level of the building unit.

The above description is only a specific example of the present invention, and does not constitute any limitation to the present invention. Obviously, for those skilled in the art, after understanding the content and principles of the present invention, various modifications and changes in form and details may be made without departing from the principles and structures of the present invention, but these are based on the present invention. Modifications and changes of the inventive idea still fall within the protection scope of the claims of the present invention.

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 equipment_i,m_i,u_i),(l_j,m_j,u_j) 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 r_ijForming 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 addition_i：

S_i＝∑_jr_ij (1)

Wherein the fuzzy comprehensive degree P of the ith aspect_iIs composed of

By comparing the degree of blur integration in different aspects, i.e. P_i＝(l_i,m_i,u_i) And P_j＝(l_j,m_j,u_j) 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. the_pAnd 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, U_iRepresents 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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