CN113671886B - Fire safety monitoring method and system based on 5G - Google Patents

Abstract

The invention provides a fire safety monitoring method and a system based on 5G, wherein the method comprises the following steps: acquiring a target monitoring area; acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology; and reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result. Through setting for the target monitoring area to acquire the fire control monitoring information that the sensor gathered through 5G technique, whether there is the condition of a fire to take place based on the fire control monitoring information judgement, 5G can reduce and postpone, is favorable to promoting the promptness of threat fire safety incident's discovery.

Description

Fire safety monitoring method and system based on 5G

Technical Field

The invention relates to the technical field of fire protection monitoring, in particular to a 5G-based fire protection safety monitoring method and system.

Background

At present, fire safety accidents frequently occur in various places such as high-rise buildings, supermarkets, shops and the like, so that the life of people is greatly damaged, and meanwhile, casualties and property loss can be caused, and therefore, the problem that monitoring on fire safety is strengthened is not slow enough;

however, when the fire safety event is discovered, the existing fire monitoring technology has a very long time delay, and the timeliness of discovering the fire safety event is not improved, so the invention provides a 5G-based fire safety monitoring method and a system.

Disclosure of Invention

The invention provides a fire safety monitoring method and system based on 5G, which are used for acquiring fire monitoring information acquired by a sensor through setting a target monitoring area and through a 5G technology, judging whether a fire occurs or not based on the fire monitoring information, and reducing delay by 5G, thereby being beneficial to improving the timeliness of discovering events threatening the fire safety.

Preferably, a fire safety monitoring method based on 5G comprises the following steps:

step 1: acquiring a target monitoring area;

step 2: acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology;

and step 3: and reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result.

Preferably, the fire safety monitoring method based on 5G further includes, in step 1, after the target monitoring area is obtained:

s101: acquiring a geographical map of the target monitoring area;

s102: determining a regional characteristic position of the target monitoring region based on the geographic map, wherein the characteristic position comprises: the method comprises the following steps of (1) obtaining corners of a target monitoring area map and N entities of a target monitoring area;

s103: using the corners of the target monitoring area map as first sensor monitoring points;

s104: respectively carrying out equal grid division on the N entities of the target monitoring area, respectively carrying out weighted importance degree evaluation on each grid contained in the N entities of the target monitoring area based on a preset weighted evaluation standard, and acquiring an evaluation value;

s105: ranking evaluation values of each grid contained by the N entities, determining the maximum evaluation value of each grid contained by the N entities, and taking the maximum evaluation value as sensor arrangement points, wherein the number of the sensor arrangement points is N;

s106: taking the sensor mounting point as a second sensor monitoring point;

s107: and finishing monitoring the target monitoring area based on the first sensor monitoring point and the second sensor monitoring point.

Preferably, in step 2, a specific working process of acquiring the fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by using a 5G technology includes:

numbering different positions where the sensors are located based on the target monitoring area, and acquiring numbering results;

determining target data acquired by the sensor, determining data characteristics of the target data based on the numbering result, and determining a mapping relation with the intelligent terminal based on the data characteristics;

according to the mapping relation, the intelligent terminal establishes a target database for storing the target data;

matching a corresponding data check function based on the target database;

placing the target data in the data check function one by one for calculation, comparing a calculation result with a preset reference value, and judging whether the target data meet a check standard;

when the calculation result is smaller than or equal to the preset reference value, judging that the target data meets the verification standard, and uploading the target data to a target database of the intelligent terminal;

otherwise, extracting sub-target data which do not meet the check standard from the target data, labeling the sub-target data, and meanwhile, putting the labeled sub-target data into the target data again for packaging to obtain an upload data packet;

uploading the uploading data packet to a target database of the intelligent terminal through the mapping relation based on a 5G technology;

classifying and recording the target data in the target database according to the acquired preset time period, and meanwhile, generating a monitoring data table based on the recording result;

generating a data envelope analysis model of the target data based on the data value characteristics of the monitoring data table;

performing data analysis on the target data in the data network based on the data envelope analysis model, and acquiring an analysis result;

and meanwhile, converting the analysis result into a data line graph form for displaying, and acquiring fire protection monitoring information of the target monitoring area monitored by the sensor based on the display result.

Preferably, the fire safety monitoring method based on 5G further includes, after the data line graph is acquired:

reading the data line graph, and removing data which do not accord with the trend of the target data based on the reading result to obtain a standard data line graph;

the abscissa parameter of the standard data line graph is time, and the ordinate parameter is the parameter value of the target data;

carrying out mean processing on parameter values of the target data of the standard data line graph, and taking a processing result as a reference value;

determining initial boundary information and termination boundary information of the standard broken line graph, and meanwhile, acquiring a broken line slope of the target data in the standard data broken line graph at the current preset moment;

predicting the change trend of the broken line graph at the next moment based on the starting boundary information, the ending boundary information, the reference value and the broken line slope;

and estimating the development of the fire fighting monitoring information of the target monitoring area based on the prediction result.

Preferably, in step 3, the fire safety monitoring information is read, and a specific working process of judging whether a fire occurs in the target monitoring area based on a reading result includes:

extracting key fields of the fire protection monitoring information, and determining that the fire protection monitoring information corresponds to a target sensor of the target monitoring area based on the key fields;

determining an infrared light signal of a sub-region corresponding to the target sensor in the target monitoring region, and meanwhile, calculating a background signal value and a brightness signal value of the infrared light signal;

determining an optimal gain value for the infrared light signal based on the background signal value and the brightness signal value;

performing gain amplification processing on the infrared light signal based on the optimal gain value to obtain an amplified infrared light signal;

analyzing the increased infrared light signal to obtain a temperature value of the sub-region, comparing the temperature value with a preset temperature threshold value, and judging whether the sub-region has a high-temperature condition;

when the temperature value is smaller than the preset temperature threshold value, judging that the high-temperature condition does not exist in the sub-area;

otherwise, acquiring a thermal imaging picture of the sub-region based on the target sensor, and analyzing the thermal imaging picture to acquire a color degree value;

comparing the color degree value with a preset color degree value, and judging whether the sub-region generates a fire condition;

when the color degree value is equal to or larger than the preset color degree value, judging that the sub-area is in a fire condition;

otherwise, judging that the sub-region has no fire.

Preferably, in step 3, when a fire occurs in the target monitoring area, the method for monitoring fire safety based on 5G further includes:

acquiring a fire condition area in the target monitoring area;

acquiring a detected smoke concentration value of the fire area based on the sensor, and acquiring a fire picture of the fire area;

uploading the smoke concentration value and the fire picture to the intelligent terminal based on a 5G technology;

meanwhile, comparing the smoke concentration value with a smoke concentration threshold preset by the intelligent terminal, and judging the fire concentration degree of the fire area;

when the smoke concentration value is smaller than the smoke concentration threshold value, judging that the fire concentration degree of the fire area is low-degree concentration;

otherwise, judging the fire concentration degree of the fire area to be high-degree concentration;

meanwhile, acquiring a flame range in the fire picture, comparing the flame range with a preset reference range stored by the intelligent terminal, and judging the fire intensity of the current fire area;

when the flame range is smaller than or equal to the preset reference range, judging that the fire behavior of the fire condition area is small;

otherwise, the fire intensity of the fire area is large;

and meanwhile, alarming operation is carried out based on the fire concentration degree and the fire intensity.

Preferably, the 5G-based fire safety monitoring method, which is based on the specific working process of performing alarm operation on the fire concentration degree and the fire intensity, comprises the following steps:

acquiring the fire concentration degree and the fire intensity, and performing alarm operation of different degrees according to the difference between the fire concentration degree and the fire intensity;

when the fire concentration is low and the fire in the fire area is small, performing a first alarm operation;

when the fire concentration is low and the fire in the fire area is large, performing a second alarm operation;

when the fire concentration is high and the fire in the fire area is small, performing a third alarm operation;

and when the fire concentration is high concentration degree and the fire in the fire area is large, performing fourth alarm operation.

Preferably, in step 3, after a fire occurs in the target monitoring area, the method for monitoring fire safety based on 5G further includes:

determining a specific geographic position of the target monitoring area based on satellite positioning, and simultaneously determining a position signal of the specific geographic position;

performing signal matching in a 5G geographic communication network structure according to the position signal to obtain a fire-fighting signal closest to the position signal;

determining a fire station closest to a specific geographic location of the target monitoring area based on the fire protection signal;

meanwhile, when the fire condition of the target monitoring area reaches a preset degree, an alarm notification is automatically sent to the nearest fire station through a 5G technology.

Preferably, a fire safety monitoring system based on 5G includes:

a monitoring area acquisition module: acquiring a target monitoring area;

fire control monitoring information acquisition module: acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology;

the fire condition judging module: and reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a flow chart of a 5G-based fire safety monitoring method according to an embodiment of the present invention;

fig. 2 is a structural diagram of a fire safety monitoring system based on 5G in the embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

Example 1:

the embodiment provides a fire safety monitoring method based on 5G, as shown in fig. 1, including:

step 1: acquiring a target monitoring area;

step 2: acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology;

and step 3: and reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result.

In this embodiment, the target monitoring area may be a flammable warehouse or the like.

In this embodiment, the fire monitoring message may be humidity, temperature, infrared signal, etc. in the current target monitoring area.

The beneficial effects of the above technical scheme are: through setting for the target monitoring area to acquire the fire control monitoring information that the sensor gathered through 5G technique, whether there is the condition of a fire to take place based on the fire control monitoring information judgement, 5G can reduce and postpone, is favorable to promoting the promptness of threat fire safety incident's discovery.

Example 2:

on the basis of embodiment 1, this embodiment provides a fire safety monitoring method based on 5G, and in step 1, after acquiring a target monitoring area, the method further includes:

s101: acquiring a geographical map of the target monitoring area;

s102: determining a regional characteristic position of the target monitoring region based on the geographic map, wherein the characteristic position comprises: the method comprises the following steps of (1) obtaining corners of a target monitoring area map and N entities of a target monitoring area;

s103: using the corners of the target monitoring area map as first sensor monitoring points;

s104: respectively carrying out equal grid division on the N entities of the target monitoring area, respectively carrying out weighted importance degree evaluation on each grid contained in the N entities of the target monitoring area based on a preset weighted evaluation standard, and acquiring an evaluation value;

s105: ranking evaluation values of each grid contained by the N entities, determining the maximum evaluation value of each grid contained by the N entities, and taking the maximum evaluation value as sensor arrangement points, wherein the number of the sensor arrangement points is N;

s106: taking the sensor mounting point as a second sensor monitoring point;

s107: and finishing monitoring the target monitoring area based on the first sensor monitoring point and the second sensor monitoring point.

In this embodiment, the N entities of the target monitoring area may be devices, appliances, etc. of the target monitoring area.

In this embodiment, the corner of the target monitoring area may be a portion of the target monitoring area where the corner exists.

In this embodiment, the number of first sensor monitoring points may be 4 or more.

In this embodiment, the second sensor monitoring point may be one or more.

In this embodiment, the preset weighted evaluation criterion may be an evaluation criterion that determines the degree of importance of each mesh according to the shape size of the entity or the like.

In this embodiment, the evaluation value is a value obtained after evaluating the weighted importance degree of each grid, and is used to determine whether the monitoring point can be determined according to the size of the evaluation value, and the evaluation value is determined to facilitate reasonable arrangement of the monitoring point, thereby improving monitoring accuracy.

The beneficial effects of the above technical scheme are: the method comprises the steps of determining a geographical map of a target monitoring area, and then determining a first monitoring point and a second monitoring point of the target monitoring area, so that all-around accurate monitoring of the target monitoring area is achieved.

Example 3:

on the basis of embodiment 1, this embodiment provides a fire safety monitoring method based on 5G, and in step 2, a specific working process of acquiring, by using a 5G technology, fire monitoring information of a sensor monitoring the target monitoring area in an intelligent terminal includes:

numbering different positions where the sensors are located based on the target monitoring area, and acquiring numbering results;

determining target data acquired by the sensor, determining data characteristics of the target data based on the numbering result, and determining a mapping relation with the intelligent terminal based on the data characteristics;

according to the mapping relation, the intelligent terminal establishes a target database for storing the target data;

matching a corresponding data check function based on the target database;

placing the target data in the data check function one by one for calculation, comparing a calculation result with a preset reference value, and judging whether the target data meet a check standard;

when the calculation result is smaller than or equal to the preset reference value, judging that the target data meets the verification standard, and uploading the target data to a target database of the intelligent terminal;

otherwise, extracting sub-target data which do not meet the check standard from the target data, labeling the sub-target data, and meanwhile, putting the labeled sub-target data into the target data again for packaging to obtain an upload data packet;

uploading the uploading data packet to a target database of the intelligent terminal through the mapping relation based on a 5G technology;

classifying and recording the target data in the target database according to the acquired preset time period, and meanwhile, generating a monitoring data table based on the recording result;

generating a data envelope analysis model of the target data based on the data value characteristics of the monitoring data table;

performing data analysis on the target data in the data network based on the data envelope analysis model, and acquiring an analysis result;

and meanwhile, converting the analysis result into a data line graph form for displaying, and acquiring fire protection monitoring information of the target monitoring area monitored by the sensor based on the display result.

In this embodiment, the target data may be environmental data of the current target monitoring area measured by the sensor.

In this embodiment, the data characteristic of the target data may be a characteristic of data acquired by the sensor at different positions, wherein the characteristic is different positions.

In this embodiment, the mapping relationship may be based on a relationship between the data characteristics and a target database corresponding to the intelligent terminal, and is used to upload data at a location to a corresponding target database, which is performed for the purpose of uploading the data sequentially, so as to improve the accuracy of data management.

In this embodiment, the target database corresponds to the target data and is used for storing the target data; that is, the target data of one position acquired by the sensor of one position is uploaded to the target database of one position.

In this embodiment, the data verification function is to verify whether the target data meets the verification standard, and only when the target data meets the standard, the data can be used as the useful data for data analysis of the target database.

In this embodiment, the sub-target data belongs to the target data.

In this embodiment, the sub-target data is labeled to determine that the labeled sub-target data is useless data and cannot be analyzed.

In the embodiment, the labeled sub-target data is placed in the target data again for packaging, and the uploading data packet is obtained, wherein the labeling is to distinguish useful data from useless data, meanwhile, the data packaging and uploading data packet is to determine whether the sensor for obtaining the target data has errors or not by analyzing the sub-target data when the proportion of the sub-target data which does not meet the check standard to the target data is large, and the method is favorable for obtaining the specific reasons of the errors, so that a basis is provided for subsequent sensor detection, and more accurate work of the sensor is also facilitated.

In this embodiment, the preset time period may be the acquisition of target data acquired by the sensor at different time periods, where the preset time period time intervals are consistent, and may be 10 minutes to a preset time period, or 20 minutes to a preset time period, and the like.

In this embodiment, the data value characteristic may be a characteristic formed by monitoring the amplitude, frequency, etc. of a plurality of data values in a data packet, and used to generate a data envelope analysis model.

In this embodiment, the envelope analysis model may be used to analyze the target data, and the envelope of the data values may be determined from the envelope analysis model, so that the fire monitoring information may be reasonably analyzed.

The beneficial effects of the above technical scheme are: through carrying out data processing to the target data, thereby effectively establish with intelligent terminal's mapping relation, and then confirm the target database, be favorable to carrying out orderly and reasonable management and control to data, through marking the data that do not conform to the check-up standard, thereby be favorable to finely distinguishing the target data in the target database, thereby improved the precision to data analysis, through confirming that data envelope analysis model carries out the analysis and forms the form of data broken line graph and show to the target data, very big improvement to the intuition and the validity of target data analysis, can improve data analysis's efficiency through 5G technique, this method has improved the efficiency of obtaining to fire control monitoring information greatly.

Example 4:

on the basis of embodiment 3, this embodiment provides a fire safety monitoring method based on 5G, and after acquiring the data line graph, the method further includes:

reading the data line graph, and removing data which do not accord with the trend of the target data based on the reading result to obtain a standard data line graph;

the abscissa parameter of the standard data line graph is time, and the ordinate parameter is the parameter value of the target data;

carrying out mean value processing on the parameter values of the target data of the standard data line graph, and taking the processing result as a reference value;

determining initial boundary information and termination boundary information of the standard broken line graph, and meanwhile, acquiring a broken line slope of the target data in the standard data broken line graph at the current preset moment;

predicting the change trend of the broken line graph at the next moment based on the starting boundary information, the ending boundary information, the reference value and the broken line slope;

and estimating the development of the fire fighting monitoring information of the target monitoring area based on the prediction result.

In this embodiment, the data that does not conform to the trend of the target data is referred to as data that does not conform to the trend of the target data, for example, when the data shows an increasing trend, some individual data may show a condition of deviating from the trend.

In this embodiment, the start boundary information may be a data value of the target data acquired by the sensor in the first preset time period.

In this embodiment, the termination boundary information may be a data value of the target data acquired by the sensor acquiring the current preset period.

In this embodiment, the standard line graph may be a line graph with data that does not meet the trend of the target data being eliminated.

The beneficial effects of the above technical scheme are: by acquiring the standard line graph and determining the initial boundary information, the termination boundary information and the reference value of the standard line graph, the method is beneficial to estimating the development of the fire protection monitoring information, and therefore the safety of a target monitoring area is improved.

Example 5:

on the basis of embodiment 1, this embodiment provides a fire safety monitoring method based on 5G, and in step 3, the specific working process of reading the fire monitoring information and determining whether a fire occurs in the target monitoring area based on the reading result includes:

extracting key fields of the fire protection monitoring information, and determining that the fire protection monitoring information corresponds to a target sensor of the target monitoring area based on the key fields;

determining an infrared light signal of a sub-region corresponding to the target sensor in the target monitoring region, and meanwhile, calculating a background signal value and a brightness signal value of the infrared light signal;

determining an optimal gain value for the infrared light signal based on the background signal value and the brightness signal value;

performing gain amplification processing on the infrared light signal based on the optimal gain value to obtain an amplified infrared light signal;

analyzing the increased infrared light signal to obtain a temperature value of the sub-region, comparing the temperature value with a preset temperature threshold value, and judging whether the sub-region has a high-temperature condition;

when the temperature value is smaller than the preset temperature threshold value, judging that the high-temperature condition does not exist in the sub-area;

otherwise, acquiring a thermal imaging picture of the sub-region based on the target sensor, and analyzing the thermal imaging picture to acquire a color degree value;

comparing the color degree value with a preset color degree value, and judging whether the sub-region generates a fire condition;

when the color degree value is equal to or larger than the preset color degree value, judging that the sub-area is in a fire condition;

otherwise, judging that the sub-region has no fire.

In this embodiment, the key field refers to key field information that may indicate fire monitoring information, and may be, for example, a specific residential cell or factory monitored by a control monitoring device.

In this embodiment, the target sensor refers to a monitor corresponding to a monitoring target area, and may be one or multiple.

In this embodiment, the background signal value may be a signal value that interferes with the infrared light signal, and the real infrared light signal may be effectively obtained only by filtering the background signal, so that the optimal gain value of the infrared light signal may be determined by determining the background signal value and the luminance signal value, thereby improving the accuracy of the infrared light signal.

In this embodiment, the optimal gain value is used to measure the amplification of the infrared light signal.

In this embodiment, the preset temperature threshold is set in advance, and is used for measuring whether a high temperature condition exists in the target monitoring area in terms of temperature.

In this embodiment, the color degree value is a thermal imaging picture, and the current temperature of different objects is represented by the shade degree of different colors.

In this embodiment, the preset color degree value is set in advance, and is used to determine whether the temperature corresponding to the thermal imaging color of each object in the balanced thermal imaging picture reaches the temperature corresponding to the fire, so as to determine whether the fire occurs.

In this embodiment, the infrared light signal is emitted by the target sensor and reflects the temperature information of the target monitored area.

The beneficial effects of the above technical scheme are: through confirming the sensor that the target monitoring area corresponds to acquire the infrared light information of target monitoring area, realize judging the temperature in target monitoring area to whether the temperature of accurate judgement target monitoring area of through thermal imaging technique reaches the temperature that the condition of a fire corresponds, realize in time judging the condition of a fire in target monitoring area, be favorable to promoting the promptness of the discovery that threatens fire safety incident.

Example 6:

on the basis of the foregoing embodiment 1, this embodiment provides a fire safety monitoring method based on 5G, and in step 3, when a fire occurs in the target monitoring area, the method further includes:

acquiring a fire condition area in the target monitoring area;

acquiring a detected smoke concentration value of the fire area based on the sensor, and acquiring a fire picture of the fire area;

uploading the smoke concentration value and the fire picture to the intelligent terminal based on a 5G technology;

meanwhile, comparing the smoke concentration value with a smoke concentration threshold preset by the intelligent terminal, and judging the fire concentration degree of the fire area;

when the smoke concentration value is smaller than the smoke concentration threshold value, judging that the fire concentration degree of the fire area is low-degree concentration;

otherwise, judging the fire concentration degree of the fire area to be high-degree concentration;

meanwhile, acquiring a flame range in the fire picture, comparing the flame range with a preset reference range stored by the intelligent terminal, and judging the fire intensity of the current fire area;

when the flame range is smaller than or equal to the preset reference range, judging that the fire behavior of the fire condition area is small;

otherwise, the fire intensity of the fire area is large;

meanwhile, alarm operation is carried out based on the fire condition concentration degree and the fire intensity.

In this embodiment, the fire area refers to a place where a fire occurs in the target monitoring area, for example, the target monitoring area is a house, and the fire area is a kitchen area in the house.

In this embodiment, the intelligent terminal may be a computer or the like having a processor with data processing capability.

In this embodiment, the preset smoke density threshold is set in advance to measure the severity of the smoke density in the fire area.

In this embodiment, the preset reference range stored in the intelligent terminal is set in advance, and is used to measure the ignition range in the fire area, for example, when the ignition range is greater than ten square meters, it is determined that the fire in the fire area is great.

The beneficial effects of the above technical scheme are: by acquiring the smoke concentration value of the fire area and the fire range of the partner area and comparing the smoke concentration value with the corresponding preset threshold value, the fire severity of the fire area is accurately judged, so that accurate alarm operation is performed, and the timeliness of preventing fire expansion is improved.

Example 7:

on the basis of the foregoing embodiment 6, this embodiment provides a fire safety monitoring method based on 5G, and a specific working process of performing an alarm operation based on the fire concentration degree and the fire size includes:

acquiring the fire concentration degree and the fire intensity, and performing alarm operation of different degrees according to the difference between the fire concentration degree and the fire intensity;

when the fire concentration is low and the fire in the fire area is small, performing a first alarm operation;

when the fire concentration is low and the fire in the fire area is large, performing a second alarm operation;

when the fire concentration is high and the fire in the fire area is small, performing a third alarm operation;

and when the fire concentration is high concentration degree and the fire in the fire area is large, performing fourth alarm operation.

In this embodiment, the first warning operation may be a light warning.

In this embodiment, the second alarm operation may be an audible alarm.

In this embodiment, the third alarm operation may be an indirect alarm by a light and a sound.

In this embodiment, the fourth warning operation may be a light and sound continuous warning.

The beneficial effects of the above technical scheme are: through judging the smog concentration and the fire behavior in the fire condition area, corresponding alarm operation is carried out respectively, so that the timeliness of the discovery of threatening the fire safety incident is facilitated to be promoted, and meanwhile, corresponding countermeasures are facilitated to be taken according to the alarm condition.

Example 8:

on the basis of the foregoing embodiment 1, this embodiment provides a fire safety monitoring method based on 5G, and in step 3, after a fire occurs in the target monitoring area, the method further includes:

determining a specific geographic position of the target monitoring area based on satellite positioning, and simultaneously determining a position signal of the specific geographic position;

performing signal matching in a 5G geographic communication network structure according to the position signal to obtain a fire-fighting signal closest to the position signal;

determining a fire station closest to a specific geographic location of the target monitoring area based on the fire protection signal;

meanwhile, when the fire condition of the target monitoring area reaches a preset degree, an alarm notification is automatically sent to the nearest fire station through a 5G technology.

In this embodiment, the location signal may be a geographic coordinate value of the fire zone.

In this embodiment, the 5G geographic communication network structure may be a map corresponding to a monitoring area to be prepared, and the map includes location information of each fire station.

In this embodiment, the fire signal may be the coordinate values of the fire station in the map.

In this embodiment, the predetermined level is set in advance for measuring the severity of the fire.

The beneficial effects of the above technical scheme are: through the concrete position information who obtains target monitoring area to through near fire station of 5G technical search, and in time the current condition of a fire of processing of going out, improved the promptness of solving the condition of a fire.

Example 9:

the embodiment provides a fire safety monitoring system based on 5G, as shown in fig. 2, includes:

a monitoring area acquisition module: acquiring a target monitoring area;

fire control monitoring information acquisition module: acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology;

the fire condition judging module: and reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result.

The beneficial effects of the above technical scheme are: through setting for the target monitoring area to acquire the fire control monitoring information that the sensor gathered through 5G technique, whether there is the condition of a fire to take place based on the fire control monitoring information judgement, 5G can reduce and postpone, is favorable to promoting the promptness of threat fire safety incident's discovery.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A fire safety monitoring method based on 5G is characterized by comprising the following steps:

step 1: acquiring a target monitoring area;

step 2: acquiring fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by utilizing a 5G technology;

and 3, step 3: reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result;

in step 2, a specific working process of acquiring the fire protection monitoring information of the target monitoring area monitored by the sensor in the intelligent terminal by using a 5G technology comprises the following steps:

numbering different positions where the sensors are located based on the target monitoring area, and acquiring numbering results;

determining target data acquired by the sensor, determining data characteristics of the target data based on the numbering result, and determining a mapping relation with the intelligent terminal based on the data characteristics;

according to the mapping relation, the intelligent terminal establishes a target database for storing the target data;

matching a corresponding data check function based on the target database;

placing the target data in the data check function one by one for calculation, comparing a calculation result with a preset reference value, and judging whether the target data meet a check standard;

when the calculation result is smaller than or equal to the preset reference value, judging that the target data meets the verification standard, and uploading the target data to a target database of the intelligent terminal;

otherwise, extracting sub-target data which do not meet the check standard from the target data, labeling the sub-target data, and meanwhile, putting the labeled sub-target data into the target data again for packaging to obtain an upload data packet;

uploading the uploading data packet to a target database of the intelligent terminal through the mapping relation based on a 5G technology;

classifying and recording the target data in the target database according to the acquired preset time period, and meanwhile, generating a monitoring data table based on the recording result;

generating a data envelope analysis model of the target data based on the data value characteristics of the monitoring data table;

performing data analysis on the target data in the data network based on the data envelope analysis model, and acquiring an analysis result;

and meanwhile, converting the analysis result into a data line graph form for displaying, and acquiring fire protection monitoring information of the target monitoring area monitored by the sensor based on the display result.

2. A fire safety monitoring method based on 5G as claimed in claim 1, wherein in step 1, after obtaining the target monitoring area, further comprising:

s101: acquiring a geographic map of the target monitoring area;

s102: determining a regional characteristic position of the target monitoring region based on the geographic map, wherein the characteristic position comprises: the method comprises the following steps of (1) obtaining corners of a target monitoring area map and N entities of a target monitoring area;

s103: taking the corners of the target monitoring area map as first sensor monitoring points;

s104: respectively carrying out equal grid division on the N entities of the target monitoring area, respectively carrying out weighted importance degree evaluation on each grid contained in the N entities of the target monitoring area based on a preset weighted evaluation standard, and acquiring an evaluation value;

s105: ranking evaluation values of each grid contained by the N entities, determining the maximum evaluation value of each grid contained by the N entities, and taking the maximum evaluation value as sensor arrangement points, wherein the number of the sensor arrangement points is N;

s106: taking the sensor mounting point as a second sensor monitoring point;

s107: and finishing monitoring the target monitoring area based on the first sensor monitoring point and the second sensor monitoring point.

3. A fire safety monitoring method based on 5G as claimed in claim 1, wherein after acquiring the data line graph, further comprising:

reading the data line graph, and removing data which do not accord with the trend of the target data based on the reading result to obtain a standard data line graph;

the abscissa parameter of the standard data line graph is time, and the ordinate parameter is the parameter value of the target data;

carrying out mean value processing on the parameter values of the target data of the standard data line graph, and taking the processing result as a reference value;

determining initial boundary information and termination boundary information of the standard broken line graph, and meanwhile, acquiring a broken line slope of the target data in the standard data broken line graph at the current preset moment;

predicting the change trend of the broken line graph at the next moment based on the starting boundary information, the ending boundary information, the reference value and the broken line slope;

and estimating the development of the fire fighting monitoring information of the target monitoring area based on the prediction result.

4. A fire safety monitoring method based on 5G as claimed in claim 1, wherein in step 3, the specific working process of reading the fire monitoring information and judging whether the fire occurs in the target monitoring area based on the reading result comprises:

extracting key fields of the fire protection monitoring information, and determining that the fire protection monitoring information corresponds to a target sensor of the target monitoring area based on the key fields;

determining an infrared light signal of a sub-region corresponding to the target sensor in the target monitoring region, and meanwhile, calculating a background signal value and a brightness signal value of the infrared light signal;

determining an optimal gain value for the infrared light signal based on the background signal value and the brightness signal value;

performing gain amplification processing on the infrared light signal based on the optimal gain value to obtain an amplified infrared light signal;

analyzing the increased infrared light signal to obtain a temperature value of the sub-region, comparing the temperature value with a preset temperature threshold value, and judging whether the sub-region has a high-temperature condition;

when the temperature value is smaller than the preset temperature threshold value, judging that the high-temperature condition does not exist in the sub-area;

otherwise, acquiring a thermal imaging picture of the sub-region based on the target sensor, and analyzing the thermal imaging picture to acquire a color degree value;

comparing the color degree value with a preset color degree value, and judging whether the sub-region generates a fire condition;

when the color degree value is equal to or larger than the preset color degree value, judging that the sub-area is in a fire condition;

otherwise, judging that the sub-region has no fire.

5. A fire safety monitoring method based on 5G as claimed in claim 1, wherein in step 3, when a fire occurs in the target monitoring area, the method further comprises:

acquiring a fire condition area in the target monitoring area;

acquiring a detected smoke concentration value of the fire area based on the sensor, and acquiring a fire picture of the fire area;

uploading the smoke concentration value and the fire picture to the intelligent terminal based on a 5G technology;

meanwhile, comparing the smoke concentration value with a smoke concentration threshold preset by the intelligent terminal, and judging the fire concentration degree of the fire area;

when the smoke concentration value is smaller than the smoke concentration threshold value, judging that the fire concentration degree of the fire area is low-degree concentration;

otherwise, judging the fire concentration degree of the fire area to be high-degree concentration;

meanwhile, acquiring a flame range in the fire picture, comparing the flame range with a preset reference range stored by the intelligent terminal, and judging the fire intensity of the current fire area;

when the flame range is smaller than or equal to the preset reference range, judging that the fire of the fire area is small;

otherwise, the fire intensity of the fire area is large;

meanwhile, alarm operation is carried out based on the fire condition concentration degree and the fire intensity.

6. A fire safety monitoring method based on 5G according to claim 5, wherein the specific working process of alarming operation based on the fire concentration degree and the fire intensity comprises the following steps:

acquiring the fire concentration degree and the fire intensity, and performing alarm operation of different degrees according to the difference between the fire concentration degree and the fire intensity;

when the fire concentration is low and the fire in the fire area is small, performing a first alarm operation;

when the fire concentration is low and the fire in the fire area is large, performing a second alarm operation;

when the fire concentration is high and the fire in the fire area is small, performing a third alarm operation;

and when the fire concentration is high concentration degree and the fire in the fire area is large, performing fourth alarm operation.

7. A fire safety monitoring method based on 5G as claimed in claim 1, wherein in step 3, after a fire occurs in the target monitoring area, the method further comprises:

determining a specific geographic position of the target monitoring area based on satellite positioning, and simultaneously determining a position signal of the specific geographic position;

performing signal matching in a 5G geographic communication network structure according to the position signal to obtain a fire-fighting signal closest to the position signal;

determining a fire station closest to a specific geographic location of the target monitoring area based on the fire protection signal;

meanwhile, when the fire condition of the target monitoring area reaches a preset degree, an alarm notification is automatically sent to the nearest fire station through a 5G technology.

8. The utility model provides a fire safety monitored control system based on 5G which characterized in that includes:

a monitoring area acquisition module: acquiring a target monitoring area;

fire control monitoring information acquisition module: the fire protection monitoring information of the target monitoring area monitored by the sensor is acquired in the intelligent terminal by using the 5G technology;

the fire condition judging module: reading the fire protection monitoring information, and judging whether the target monitoring area has a fire condition or not based on the reading result;

the fire control monitoring information acquisition module includes:

numbering different positions where the sensors are located based on the target monitoring area, and acquiring numbering results;

determining target data acquired by the sensor, determining data characteristics of the target data based on the numbering result, and determining a mapping relation with the intelligent terminal based on the data characteristics;

according to the mapping relation, the intelligent terminal establishes a target database for storing the target data;

matching a corresponding data check function based on the target database;

placing the target data in the data check function one by one for calculation, comparing a calculation result with a preset reference value, and judging whether the target data meet a check standard;

when the calculation result is smaller than or equal to the preset reference value, judging that the target data meets the verification standard, and uploading the target data to a target database of the intelligent terminal;

otherwise, extracting sub-target data which do not meet the check standard from the target data, labeling the sub-target data, and meanwhile, putting the labeled sub-target data into the target data again for packaging to obtain an upload data packet;

uploading the uploading data packet to a target database of the intelligent terminal through the mapping relation based on a 5G technology;

classifying and recording the target data in the target database according to the acquired preset time period, and meanwhile, generating a monitoring data table based on the recording result;

generating a data envelope analysis model of the target data based on the data value characteristics of the monitoring data table;

performing data analysis on the target data in the data network based on the data envelope analysis model, and acquiring an analysis result;

and meanwhile, converting the analysis result into a data line graph form for displaying, and acquiring fire protection monitoring information of the target monitoring area monitored by the sensor based on the display result.

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