A fire alarm system in a building based on multi-data linkage monitoring

Abstract

The present invention discloses a fire alarm system in a building based on multi-data linkage monitoring, which relates to the field of monitoring technology and includes: a monitoring target preset module; a monitoring mode preset module; a building parameter scheduling module; a parameter monitoring module; a monitoring position setting module; a building analysis module; a building monitoring adjustment module, wherein the building monitoring adjustment module is used to obtain a monitoring calibration package according to the monitoring focus of a reference building; a building orientation module, wherein the building orientation module generates the monitoring focus of the building according to the reference building, and summarizes and generates a building recommendation orientation package; and a monitoring optimization module, wherein the monitoring optimization module performs monitoring optimization in the building according to the building recommendation orientation package. By setting the monitoring mode preset module, the building analysis module, the building monitoring adjustment module and the building orientation module, targeted monitoring can be performed according to the building situation, the occurrence of fire can be reduced, and threats to people in the building or property losses can be avoided.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and in particular to a fire alarm system in a building based on multi-data linkage monitoring. Background Art

[0002] With the rapid development of computer technology, control technology, communication technology and information technology and the increasing demand for safety and suitability of living and office environments, intelligent buildings came into being. Subsequently, they developed rapidly around the world. It is expected that in the near future, intelligent buildings will occupy most of the high-rise building market. Intelligent building monitoring system is an important part of intelligent buildings, and the top priority of intelligent buildings is always safety. Through fire monitoring in buildings, the personal safety and property safety of users in the building can be guaranteed.

[0003] However, due to the differences in the structure of buildings and the difficulty of fire, using the same model for fire monitoring is not targeted and may result in monitoring omissions, leading to fires, threats to people in the building or property losses. Summary of the invention

[0004] In order to solve the above technical problems, a building fire alarm system based on multi-data linkage monitoring is provided. This technical solution solves the problem raised in the above background technology that due to the different structures of buildings and the difficulty of fire, the same mode is used for fire monitoring, and the monitoring is not targeted, which may cause omissions in monitoring, resulting in fire, threatening people in the building or causing property losses.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A fire alarm system in a building based on multi-data linkage monitoring, comprising:

[0007] A monitoring target preset module, which is used to select a target for building monitoring;

[0008] A monitoring mode preset module, which is used to select a monitoring mode for a building. The monitoring mode is selected according to the urgency of the building. The monitoring modes of a building are divided into standard monitoring and enhanced monitoring.

[0009] A building parameter scheduling module, wherein the building parameter scheduling module sets monitoring parameters of a building;

[0010] A parameter monitoring module, which monitors the display status of monitoring parameters of a building and issues an early warning for buildings with abnormal parameter display status;

[0011] A monitoring location setting module, which is used to select monitoring locations that appear in a building during building monitoring;

[0012] A building analysis module, wherein the building analysis module obtains at least one benchmark building based on big data and obtains monitoring focus of the benchmark building;

[0013] A building monitoring adjustment module, wherein the building monitoring adjustment module is used to optimize the monitoring mode of the reference building according to the monitoring focus of the reference building, obtain a monitoring calibration package, and pair the monitoring calibration package with the reference building;

[0014] A building orientation module, which generates monitoring priorities for buildings based on reference buildings and summarizes and generates building recommendation orientation packages;

[0015] A monitoring optimization module performs monitoring optimization in a building according to the building recommendation directional package.

[0016] Preferably, the method of selecting a monitoring method according to the urgency of the building comprises the following steps:

[0017] Based on the historical data of building fire protection, obtain the scale and frequency of each fire in the building;

[0018] Accumulate the scale of the fire and multiply it by the fire weight to obtain an emergency judgment value, where the fire weight is equal to the frequency of the fire;

[0019] At least one identification area is obtained according to the distribution range of the emergency judgment value, and the emergency degree is assigned to the identification area according to the value of the midpoint of the identification area from small to large;

[0020] Assigning the urgency level corresponding to the identification area to which the urgency judgment value of the building belongs to the building;

[0021] When the urgency of the building is greater than the preset level, enhanced monitoring is used, otherwise, standard monitoring is used.

[0022] Preferably, the building parameter scheduling module sets the monitoring parameters of the building including the following steps:

[0023] Based on historical data, obtain at least one indicator that occurs in the building environment when a fire occurs in the building;

[0024] Performing fire situation correlation judgment on at least one indicator to obtain at least one high correlation indicator and at least one low correlation indicator;

[0025] In standard monitoring, at least one highly correlated indicator is used as a monitoring parameter for the building;

[0026] During enhanced monitoring, at least one high correlation indicator and at least one low correlation indicator are used as monitoring parameters of the building.

[0027] Preferably, the display status of the monitoring parameters of the monitoring building includes the following steps:

[0028] According to the monitoring parameters of the building set by the building parameter scheduling module, the time period of building monitoring is divided into a high fire monitoring time period and a normal fire monitoring time period;

[0029] According to the historical fire monitoring data, during the high fire monitoring period, calculate the high fire monitoring time-sharing parameters of building monitoring;

[0030] According to the historical fire monitoring data, during the ordinary fire monitoring period, calculate the ordinary fire monitoring time-sharing parameters of building monitoring;

[0031] The parameter monitoring module monitors and determines that the time period of the previous hour is a high fire monitoring time period or a normal fire monitoring time period;

[0032] If the time period of the previous hour is a high fire monitoring time period, the building fire monitoring data of the previous hour will be compared with the high fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the high fire monitoring time-sharing parameters is greater than the target preset value, the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, it is judged that the monitoring status is normal;

[0033] If the time period of the previous hour is the ordinary fire monitoring time period, compare the building fire monitoring data of the previous hour with the ordinary fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the ordinary fire monitoring time-sharing parameters is greater than the target preset value, then the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, the monitoring status is judged to be normal.

[0034] Preferably, the step of acquiring at least one benchmark building based on big data comprises the following steps:

[0035] Based on the big data, at least one building architecture is obtained, and the at least one building architecture is decomposed into at least one basic monitoring unit;

[0036] Deduplication is performed on at least one basic monitoring unit to obtain at least one deduplication basic monitoring unit;

[0037] Generate a building set, the building set is initially an empty set, gradually add buildings to the building set, and stop adding buildings when the buildings in the building set contain all the deduplicated basic monitoring units;

[0038] The buildings in the building set are taken as the benchmark buildings.

[0039] Preferably, the step of obtaining the monitoring focus of the benchmark building includes the following steps:

[0040] Obtain the building structure characteristics of the benchmark building, and based on big data, obtain the areas prone to fire in the building structure characteristics of the benchmark building;

[0041] Based on the area prone to fire, at least one key monitoring indicator of the benchmark building is generated, and the monitoring focus of the benchmark building is obtained by summarizing, and the key monitoring indicator includes positioning information.

[0042] Preferably, the step of optimizing the monitoring mode of the reference building to obtain a monitoring calibration package comprises the following steps:

[0043] The monitoring mode of the benchmark building is consistent with the monitoring mode of the building;

[0044] When the monitoring mode of the building is standard monitoring, the indicators that are different from at least one highly correlated indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package;

[0045] When the monitoring mode of a building is enhanced monitoring, the indicators that are different from at least one high-correlation indicator and at least one low-correlation indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package.

[0046] Preferably, the step of generating monitoring focus of a building according to a benchmark building and summarizing and generating a building recommendation directional package comprises the following steps:

[0047] Obtaining building architecture characteristics of a building, and obtaining building architecture characteristics of at least one reference building;

[0048] Obtain a benchmark building with the smallest difference in building architecture characteristics from the building as the target benchmark building;

[0049] Use the indicators in the monitoring calibration package of the target benchmark building as the monitoring focus of the building, and summarize them to generate a building recommendation directional package.

[0050] Preferably, the monitoring optimization in the building according to the building recommendation directional package includes the following steps:

[0051] Supplement the indicators in the building recommendation directional package with the monitoring parameters of the building to obtain the monitoring supplement parameters of the building;

[0052] Carry out testing according to the indicators in the building monitoring supplementary parameters.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] By setting the monitoring mode preset module, building analysis module, building monitoring adjustment module and building directional module, the monitoring mode of the building is switched according to the different difficulty of fire in the building. When fire is not likely to occur, standard monitoring is used, and when fire is likely to occur, enhanced monitoring is used. In this way, the cost of monitoring can be controlled and the monitoring effect can be guaranteed. At the same time, the structure of the building is analyzed to obtain the monitoring focus of the benchmark building, and the monitoring of the building is supplemented by the monitoring focus of the benchmark building, thereby ensuring that buildings with different structures can be monitored more comprehensively, thereby avoiding monitoring omissions. Therefore, the ability to warn of fire can be increased, thereby reducing the occurrence of fire and avoiding threats to people in the building or property losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a structural schematic diagram of a fire alarm system in a building based on multi-data linkage monitoring according to the present invention;

[0056] Figure 2 A flow chart of the method of selecting monitoring according to the urgency of a building according to the present invention;

[0057] Figure 3 A schematic diagram of a flow chart of setting monitoring parameters of a building for the building parameter scheduling module of the present invention;

[0058] Figure 4 It is a schematic diagram of the display state flow of monitoring parameters of a monitoring building according to the present invention;

[0059] Figure 5 Acquiring at least one benchmark building process schematic diagram based on big data according to the present invention;

[0060] Figure 6 A schematic diagram of the monitoring focus flow of obtaining a reference building according to the present invention;

[0061] Figure 7 The monitoring mode of the reference building of the present invention is optimized to obtain a flow chart of the monitoring calibration package;

[0062] Figure 8 A schematic diagram of the process of generating monitoring focus of a building according to a benchmark building and summarizing and generating a building recommendation directional package in the present invention;

[0063] Fig. 9 It is a schematic diagram of the monitoring optimization process in a building according to the building recommendation directional package of the present invention. DETAILED DESCRIPTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0065] Reference Figure 1 As shown, a fire alarm system in a building based on multi-data linkage monitoring includes:

[0066] A monitoring target preset module, which is used to select a target for building monitoring;

[0067] A monitoring mode preset module, which is used to select a monitoring mode for a building. The monitoring mode is selected according to the urgency of the building. The monitoring modes of a building are divided into standard monitoring and enhanced monitoring.

[0068] A building parameter scheduling module, wherein the building parameter scheduling module sets monitoring parameters of a building;

[0069] A parameter monitoring module, which monitors the display status of monitoring parameters of a building and issues an early warning for buildings with abnormal parameter display status;

[0070] A monitoring location setting module, which is used to select monitoring locations that appear in a building during building monitoring;

[0071] A building analysis module, wherein the building analysis module obtains at least one benchmark building based on big data and obtains monitoring focus of the benchmark building;

[0072] A building monitoring adjustment module, wherein the building monitoring adjustment module is used to optimize the monitoring mode of the reference building according to the monitoring focus of the reference building, obtain a monitoring calibration package, and pair the monitoring calibration package with the reference building;

[0073] A building orientation module, which generates monitoring priorities for buildings based on reference buildings and summarizes and generates building recommendation orientation packages;

[0074] A monitoring optimization module performs monitoring optimization in a building according to the building recommendation directional package.

[0075] Reference Figure 2 As shown, the method of monitoring selected according to the urgency of the building includes the following steps:

[0076] Based on the historical data of building fire protection, obtain the scale and frequency of each fire in the building;

[0077] Accumulate the scale of the fire and multiply it by the fire weight to obtain an emergency judgment value, where the fire weight is equal to the frequency of the fire;

[0078] At least one identification area is obtained according to the distribution range of the emergency judgment value, and the emergency degree is assigned to the identification area according to the value of the midpoint of the identification area from small to large;

[0079] Assigning the urgency level corresponding to the identification area to which the urgency judgment value of the building belongs to the building;

[0080] When the urgency of the building is greater than the preset level, enhanced monitoring is used, otherwise, standard monitoring is used.

[0081] Due to the differences in structure and building materials used, the probability of fire in buildings is different. Therefore, it is necessary to determine the monitoring mode for different buildings. When monitoring is carried out indiscriminately, buildings prone to fire may miss fire warnings. Therefore, using different monitoring modes for monitoring can not only focus on monitoring buildings prone to fire and issue fire warnings in time, but also conduct ordinary monitoring on buildings that are not prone to fire, thereby saving monitoring costs.

[0082] Reference Figure 3 As shown, the building parameter scheduling module sets the monitoring parameters of the building including the following steps:

[0083] Based on historical data, obtain at least one indicator that occurs in the building environment when a fire occurs in the building;

[0084] Performing fire situation correlation judgment on at least one indicator to obtain at least one high correlation indicator and at least one low correlation indicator;

[0085] In standard monitoring, at least one highly correlated indicator is used as a monitoring parameter for the building;

[0086] During enhanced monitoring, at least one high correlation indicator and at least one low correlation indicator are used as monitoring parameters of the building.

[0087] When there is no fire in a building, the monitoring does not need to be very comprehensive. It is only necessary to monitor the indicators that are highly correlated with the fire. For buildings prone to fire, in order to avoid missing a fire, comprehensive monitoring is required. All indicators related to the fire must be monitored to avoid missed warnings.

[0088] Reference Figure 4 As shown, the display status of the monitoring parameters of the monitoring building includes the following steps:

[0089] According to the monitoring parameters of the building set by the building parameter scheduling module, the time period of building monitoring is divided into a high fire monitoring time period and a normal fire monitoring time period;

[0090] According to the historical fire monitoring data, during the high fire monitoring period, calculate the high fire monitoring time-sharing parameters of building monitoring;

[0091] According to the historical fire monitoring data, during the ordinary fire monitoring period, calculate the ordinary fire monitoring time-sharing parameters of building monitoring;

[0092] The parameter monitoring module monitors and determines that the time period of the previous hour is a high fire monitoring time period or a normal fire monitoring time period;

[0093] If the time period of the previous hour is a high fire monitoring time period, the building fire monitoring data of the previous hour will be compared with the high fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the high fire monitoring time-sharing parameters is greater than the target preset value, the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, it is judged that the monitoring status is normal;

[0094] If the time period of the previous hour is the ordinary fire monitoring time period, compare the building fire monitoring data of the previous hour with the ordinary fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the ordinary fire monitoring time-sharing parameters is greater than the target preset value, then the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, the monitoring status is judged to be normal.

[0095] When there is no fire, the difference between the parameters detected during the ordinary fire monitoring time period and the high fire monitoring time period and the parameters of the corresponding time periods in the historical data will be within the target preset value. Otherwise, it means that an abnormal situation may occur and an early warning is required.

[0096] Reference Figure 5 As shown, obtaining at least one benchmark building based on big data includes the following steps:

[0097] Based on the big data, at least one building architecture is obtained, and the at least one building architecture is decomposed into at least one basic monitoring unit;

[0098] Deduplication is performed on at least one basic monitoring unit to obtain at least one deduplication basic monitoring unit;

[0099] Generate a building set, the building set is initially an empty set, gradually add buildings to the building set, and stop adding buildings when the buildings in the building set contain all the deduplicated basic monitoring units;

[0100] The buildings in the building set are taken as benchmark buildings.

[0101] The benchmark building contains all the architectural features of existing buildings. Therefore, the benchmark building can be used as the monitoring standard. Once the monitoring plan for the benchmark building is determined, the monitoring plan for any other building can be derived based on the benchmark building, and the monitoring indicators will not be missed, thereby ensuring the quality of monitoring.

[0102] Reference Figure 6 As shown, obtaining the monitoring focus of the benchmark building includes the following steps:

[0103] Obtain the building structure characteristics of the benchmark building, and based on big data, obtain the areas prone to fire in the building structure characteristics of the benchmark building;

[0104] Based on the area prone to fire, at least one key monitoring indicator of the benchmark building is generated, and the monitoring focus of the benchmark building is obtained by summarizing, and the key monitoring indicator includes positioning information.

[0105] By identifying and summarizing the areas where fire occurred in the reference building, at least one key monitoring indicator for the reference building can be obtained. When monitoring at least one key monitoring indicator of the reference building, the areas where fire occurred in the reference building can be fully covered, thereby ensuring the comprehensiveness of the monitoring.

[0106] Reference Figure 7 As shown, optimizing the monitoring mode of the reference building to obtain a monitoring calibration package includes the following steps:

[0107] The monitoring mode of the benchmark building is consistent with the monitoring mode of the building;

[0108] When the monitoring mode of the building is standard monitoring, the indicators that are different from at least one highly correlated indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package;

[0109] When the monitoring mode of a building is enhanced monitoring, the indicators that are different from at least one high-correlation indicator and at least one low-correlation indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package.

[0110] The monitoring calibration package of the reference building automatically switches with the monitoring mode of the building;

[0111] When monitoring a building, standard monitoring or enhanced monitoring is used, but standard monitoring or enhanced monitoring is for all buildings and is therefore not targeted enough. Therefore, the building is compared with a benchmark building to obtain a target benchmark building that is almost identical to the building. The monitoring is supplemented by using the monitoring calibration package of the target benchmark building, which is more in line with the monitoring of the building and allows for targeted testing, thereby ensuring the accuracy of the monitoring results.

[0112] Reference Figure 8 As shown, generating the monitoring focus of the building based on the benchmark building and summarizing and generating the building recommendation directional package includes the following steps:

[0113] Obtaining building architecture characteristics of a building, and obtaining building architecture characteristics of at least one reference building;

[0114] Obtain a benchmark building with the smallest difference in building architecture characteristics from the building as the target benchmark building;

[0115] Use the indicators in the monitoring calibration package of the target benchmark building as the monitoring focus of the building, and summarize them to generate a building recommendation directional package.

[0116] Reference Fig. 9 As shown, monitoring optimization in a building according to the building recommendation directional package includes the following steps:

[0117] Supplement the indicators in the building recommendation directional package with the monitoring parameters of the building to obtain the monitoring supplement parameters of the building;

[0118] Carry out testing according to the indicators in the building monitoring supplementary parameters.

[0119] The working process of the above-mentioned building fire alarm system based on multi-data linkage monitoring is as follows:

[0120] Step 1: The monitoring target preset module selects the target of building monitoring, and the monitoring target is the environment in the building;

[0121] Step 2: The monitoring mode preset module selects the monitoring mode of the building. The monitoring mode is selected according to the urgency of the building. The monitoring mode of the building is divided into standard monitoring and enhanced monitoring;

[0122] Step 3: The building parameter scheduling module sets the monitoring parameters of the building;

[0123] Step 4: The parameter monitoring module monitors the display status of the monitoring parameters of the building, and issues an early warning for buildings with abnormal parameter display status;

[0124] Step 5: When the monitoring location setting module selects the monitoring location that appears in the building for building monitoring;

[0125] Step 6: The building analysis module obtains at least one benchmark building based on the big data and obtains the monitoring focus of the benchmark building;

[0126] Step 7: The building monitoring adjustment module optimizes the monitoring mode of the benchmark building according to the monitoring focus of the benchmark building, obtains a monitoring calibration package, and pairs the monitoring calibration package with the benchmark building;

[0127] Step 8: The building orientation module generates the monitoring focus of the building based on the benchmark building, and summarizes and generates the building recommendation orientation package;

[0128] Step nine: The monitoring optimization module performs monitoring optimization in the building according to the building recommendation directional package. After the monitoring optimization, the parameter monitoring module monitors the display status of the monitoring parameters of the building and issues early warnings for buildings with abnormal parameter display status.

[0129] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored. When the computer-readable program is called, the above-mentioned in-building fire alarm system based on multi-data linkage monitoring is executed.

[0130] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0131] In summary, the advantages of the present invention are: by setting a monitoring mode preset module, a building analysis module, a building monitoring adjustment module and a building directional module, the monitoring mode of the building is switched according to the different difficulties of fire in the building. When a fire is not likely to occur, standard monitoring is used, and when a fire is likely to occur, enhanced monitoring is used. In this way, the cost of monitoring can be controlled and the effect of monitoring can be guaranteed. At the same time, the structure of the building is analyzed to obtain the monitoring focus of the benchmark building, and the monitoring of the building is supplemented by the monitoring focus of the benchmark building, thereby ensuring that buildings with different structures can be more completely monitored, thereby avoiding monitoring omissions. Therefore, the ability to warn of fires can be increased, thereby reducing the occurrence of fires and avoiding threats to people in the building or property losses.

[0132] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A fire alarm system in a building based on multi-data linkage monitoring, characterized in that: include: A monitoring target preset module, which is used to select a target for building monitoring; A monitoring mode preset module, which is used to select a monitoring mode for a building. The monitoring mode is selected according to the urgency of the building. The monitoring modes of a building are divided into standard monitoring and enhanced monitoring. A building parameter scheduling module, wherein the building parameter scheduling module sets monitoring parameters of a building; A parameter monitoring module, which monitors the display status of monitoring parameters of a building and issues an early warning for buildings with abnormal parameter display status; A monitoring location setting module, which is used to select monitoring locations that appear in a building during building monitoring; A building analysis module, wherein the building analysis module obtains at least one benchmark building based on big data and obtains monitoring focus of the benchmark building; A building monitoring adjustment module, wherein the building monitoring adjustment module is used to optimize the monitoring mode of the reference building according to the monitoring focus of the reference building, obtain a monitoring calibration package, and pair the monitoring calibration package with the reference building; A building orientation module, which generates monitoring priorities for buildings based on reference buildings and summarizes and generates building recommendation orientation packages; A monitoring optimization module performs monitoring optimization in a building according to the building recommendation directional package.

2. According to claim 1, a fire alarm system in a building based on multi-data linkage monitoring is characterized in that: The method of selecting monitoring according to the urgency of the building comprises the following steps: Based on the historical data of building fire protection, obtain the scale and frequency of each fire in the building; Accumulate the scale of the fire and multiply it by the fire weight to obtain an emergency judgment value, where the fire weight is equal to the frequency of the fire; At least one identification area is obtained according to the distribution range of the emergency judgment value, and the emergency degree is assigned to the identification area according to the value of the midpoint of the identification area from small to large; Assigning the urgency level corresponding to the identification area to which the urgency judgment value of the building belongs to the building; When the urgency of the building is greater than the preset level, enhanced monitoring is used, otherwise, standard monitoring is used.

3. The fire alarm system in a building based on multi-data linkage monitoring according to claim 2 is characterized in that: The building parameter scheduling module sets the monitoring parameters of the building, including the following steps: Based on historical data, obtain at least one indicator that occurs in the building environment when a fire occurs in the building; Performing fire situation correlation judgment on at least one indicator to obtain at least one high correlation indicator and at least one low correlation indicator; In standard monitoring, at least one highly correlated indicator is used as a monitoring parameter for the building; During enhanced monitoring, at least one high correlation indicator and at least one low correlation indicator are used as monitoring parameters of the building.

4. The fire alarm system in a building based on multi-data linkage monitoring according to claim 3 is characterized in that: The display state of the monitoring parameters of the monitoring building comprises the following steps: According to the monitoring parameters of the building set by the building parameter scheduling module, the time period of building monitoring is divided into a high fire monitoring time period and a normal fire monitoring time period; According to the historical fire monitoring data, during the high fire monitoring period, calculate the high fire monitoring time-sharing parameters of building monitoring; According to the historical fire monitoring data, during the ordinary fire monitoring period, calculate the ordinary fire monitoring time-sharing parameters of building monitoring; The parameter monitoring module monitors and determines that the time period of the previous hour is a high fire monitoring time period or a normal fire monitoring time period; If the time period of the previous hour is a high fire monitoring time period, the building fire monitoring data of the previous hour will be compared with the high fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the high fire monitoring time-sharing parameters is greater than the target preset value, the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, it is judged that the monitoring status is normal; If the time period of the previous hour is the ordinary fire monitoring time period, compare the building fire monitoring data of the previous hour with the ordinary fire monitoring time-sharing parameters. If the proportion of the building fire monitoring data of the previous hour exceeding the ordinary fire monitoring time-sharing parameters is greater than the target preset value, then the building monitoring of the previous hour is judged to be abnormal and an early warning is issued. Otherwise, the monitoring status is judged to be normal.

5. The fire alarm system in a building based on multi-data linkage monitoring according to claim 4 is characterized in that: The step of acquiring at least one reference building based on big data comprises the following steps: Based on the big data, at least one building architecture is obtained, and the at least one building architecture is decomposed into at least one basic monitoring unit; Deduplication is performed on at least one basic monitoring unit to obtain at least one deduplication basic monitoring unit; Generate a building set, the building set is initially an empty set, gradually add buildings to the building set, and stop adding buildings when the buildings in the building set contain all the deduplicated basic monitoring units; The buildings in the building set are taken as benchmark buildings.

6. A building fire alarm system based on multi-data linkage monitoring according to claim 5, characterized in that: The acquisition of the monitoring focus of the benchmark building includes the following steps: Obtain the building structure characteristics of the benchmark building, and based on big data, obtain the areas prone to fire in the building structure characteristics of the benchmark building; Based on the area prone to fire, at least one key monitoring indicator of the benchmark building is generated, and the monitoring focus of the benchmark building is obtained by summarizing, and the key monitoring indicator includes positioning information.

7. A building fire alarm system based on multi-data linkage monitoring according to claim 6, characterized in that: The step of optimizing the monitoring mode of the reference building to obtain a monitoring calibration package includes the following steps: The monitoring mode of the benchmark building is consistent with the monitoring mode of the building; When the monitoring mode of the building is standard monitoring, the indicators that are different from at least one highly correlated indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package; When the monitoring mode of a building is enhanced monitoring, the indicators that are different from at least one high-correlation indicator and at least one low-correlation indicator in the monitoring focus of the benchmark building are summarized as a monitoring calibration package.

8. The building fire alarm system based on multi-data linkage monitoring according to claim 7 is characterized in that: The process of generating monitoring focus of a building according to a benchmark building and summarizing and generating a building recommendation directional package comprises the following steps: Obtaining building architecture characteristics of a building, and obtaining building architecture characteristics of at least one reference building; Obtain a benchmark building with the smallest difference in building architecture characteristics from the building as the target benchmark building; Use the indicators in the monitoring calibration package of the target benchmark building as the monitoring focus of the building, and summarize them to generate a building recommendation directional package.

9. The building fire alarm system based on multi-data linkage monitoring according to claim 8 is characterized in that: The monitoring optimization in a building according to the building recommendation directional package includes the following steps: Supplement the indicators in the building recommendation directional package with the monitoring parameters of the building to obtain the monitoring supplement parameters of the building; Carry out testing according to the indicators in the building monitoring supplementary parameters.

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