CN109887228A - Safety pre-warning system based on big data - Google Patents
Safety pre-warning system based on big data Download PDFInfo
- Publication number
- CN109887228A CN109887228A CN201910218799.4A CN201910218799A CN109887228A CN 109887228 A CN109887228 A CN 109887228A CN 201910218799 A CN201910218799 A CN 201910218799A CN 109887228 A CN109887228 A CN 109887228A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- alarm
- acquisition module
- warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 34
- 239000003546 flue gas Substances 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 7
- 208000035126 Facies Diseases 0.000 claims description 3
- 235000019504 cigarettes Nutrition 0.000 claims 1
- 239000004744 fabric Substances 0.000 claims 1
- 239000007789 gas Substances 0.000 claims 1
- 238000007405 data analysis Methods 0.000 description 4
- 230000007257 malfunction Effects 0.000 description 4
- 230000003213 activating effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Landscapes
- Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses the safety pre-warning systems based on big data, including top control module, display screen, alarm modules, early warning diversity module, data reception module, data processing module, big data acquisition module, data obtaining module, flue gas information acquisition module, temperature information acquisition module, weather forecast acquisition module, flow of the people information acquisition module and earthquake pre-warning information acquisition module；The display screen and top control module communicate to connect, the alarm modules and top control module communicate to connect, the early warning diversity module and top control module communicate to connect, the data processing module and early warning diversity module communicate to connect, the data reception module and data processing module communicate to connect, the big data storage module and data processing；The present invention can preferably analyze collected data, and can issue different types of early warning alarm by acquiring more data, make the safety of system higher.
Description
Technical field
The invention belongs to demand safe early warning fields, are related to big data utilization technology, specifically based on the safety of big data
Early warning system.
Background technique
The characteristics of safety pre-warning system is according to institute's research object, by collecting relevant data information, monitoring risk because
The alteration trend of element, and the degree of strength that various risk status deviate early warning line is evaluated, it issues warning signal and mentions to decision-making level
Before take the system of pre-alarm strategy.Therefore, to construct early warning system must first construct assessment indicator system, and add to index classification
It is handled with analysis；Secondly, carrying out Comprehensive Evaluation to assessment indicator system according to Early-warning Model；Finally, being arranged according to evaluation result
Early warning section, and Corresponding Countermeasures are taken, the scope of application of safe early warning is very wide, and in financial industry, production industry etc., is constructed
One Industrial Security early warning system effectively, applicable is very important.
Existing early warning system, in use because its acquisition data it is more single so that its use scope compared with
It is small, it is not able to satisfy the different use demands of different users, while data analysis is not accurate enough, there is data analyses to make mistake
The situation of activating alarm is easy to cause unexpected generation, in order to solve these defects, it is proposed that a solution.
Summary of the invention
The purpose of the present invention is to provide the safety pre-warning systems based on big data.
The technical problems to be solved by the invention are as follows:
(1) how more preferably collected data to be analyzed；
(2) how analysis grading is carried out to more information and is sounded an alarm.
The purpose of the present invention can be achieved through the following technical solutions:
Safety pre-warning system based on big data, including top control module, display screen, alarm modules, early warning diversity module, number
According to receiving module, data processing module, big data acquisition module, data obtaining module, flue gas information acquisition module, temperature information
Acquisition module, weather forecast acquisition module, flow of the people information acquisition module and earthquake pre-warning information acquisition module；
The display screen and top control module communicate to connect, and the alarm modules and top control module communicate to connect, the early warning
Diversity module and top control module communicate to connect, and the data processing module and early warning diversity module communicate to connect, and the data connect
Receive module and data processing module to communicate to connect, the big data storage module and data processing, the data obtaining module with
The communication connection of flue gas information acquisition module, the temperature information acquisition module and information acquisition module communicate to connect, the weather
Forecast that acquisition module and data obtaining module communicate to connect, the flow of the people information acquisition module data obtaining module communication link
It connects；
The display screen is for showing pre-warning content and alert level, and the alarm modules are for issuing warning information, institute
It states in house, lavatory and the corridor that flue gas information acquisition module is mounted in building, the temperature information acquisition module is mounted on
In house, lavatory and corridor in building, the flue gas information acquisition module is respectively intended to acquire with temperature information acquisition module
House, lavatory in building and temperature and flue gas information in corridor；
The weather forecast acquisition module is for acquiring weather forecast information, and the flow of the people letter acquisition module is for acquiring
Flow of the people information, the earthquake pre-warning information acquisition module close letter for acquiring seismic facies；
The data obtaining module is for obtaining warning information, and the data reception module is for receiving data obtaining module
The information of acquisition, the data processing module is for handling the information that data reception module receives, and concrete processing procedure is such as
Under:
Step 1: data processing module can be marked and score to all data received；
Step 2: being labeled as Y for collected flue gas information, and collected temperature information is labeled as W, will be collected
Weather information is labeled as T, is L by collected flow of the people information flag, is Q by collected earthquake pre-warning information flag；
Step 3: it is divided into O points when the concentration of flue gas information Y is less than the preset value A1 news commentary, when the concentration of flue gas information Y is pre-
If when between value A1 ... A2, scoring is 1 point, when the concentration of flue gas breath Y is greater than preset value A2, scoring is 2 points；
Step 4: when the temperature of temperature information W is less than preset value B1, scoring is 0 point, when the temperature of temperature letter W exists
When between B1 ... B2, scoring is 1 point, and when the temperature of temperature letter W is greater than B2, scoring is 2 points；
Step 5: when the flow information of flow of the people information B is more than to be less than value C1, scoring is 0 point, when flow of the people information
When the flow information of B is between preset value C1 ... C2, scoring is 1 point, is preset when the flow information of flow of the people information B is greater than
When value C2, scoring is 2 points, and the specific calculating process of B value is as follows:
S1: flow of the people information acquisition module is made of three groups of cameras, wherein two groups are mounted on outside entrance, one group is mounted on
In entrance；
S2: by three groups of cameras it is collected to flow of the people information be respectively labeled as B1, B2 and B3；
S3: by formula B1+B2+B3=B4, available total flow believes B4；
S4: pass through formula B4/3=B, it can obtain accurate flow of the people information B；
Step 6: when the earthquake grade of earthquake warning information Q is less than preset value D, scoring is 1 point, works as earthquake pre-warning
When the earthquake grade of information Q is greater than preset value D, scoring is 2 points；
Step 7: when the content of weather forecast information T is fine day and cloudy day, scoring is 0 point, when weather forecast T's
Content is when having small sleet, and scoring is 1 point, and when the content of weather forecast T, which is, heavy rain heavy snow, scoring is 2 points；
Previous early warning record is stored in the big data storage module, the early warning diversity module is used for data
It manages the good content of resume module and carries out early warning classification, specific classification process is as follows:
Step 1: all data received are arranged and are sorted out, specific classification process is as follows:
S1: the data received can be divided into: fire behavior class, natural calamity class and overstaffed class；
S2: by the collected flue gas information Y of flue gas information acquisition module and the collected temperature of temperature information acquisition module
Information W is assigned as fire behavior category information；
S3: the collected Weather information T of weather forecast and the collected information Q of earthquake pre-warning information acquisition module are distributed
For natural calamity class；
S4；By the collected flow of the people information L of flow of the people information acquisition module, it is assigned as overstaffed class；
Step 2: by the available fire behavior value S of formula Y+W=S, when S is greater than preset value, top control module can control police
Module is reported to issue the alarm of second level fire behavior, when top control module can control alarm modules publication level-one fire to fire behavior value S within a preset range
Feelings alarm；
Step 3: pass through the available natural calamity value R of formula T+Q=R, when R is greater than preset value and Q is less than T, master control
Module can control alarm modules publication second level disaster alert, and when R, which is greater than preset value Q, is greater than T, top control module can control alarm mould
Block issues three-level disaster alert；
Step 4: when B value is more than preset value, top control module can control the alarm modules publication crowded alarm of second level, when B value
Top control module can control the alarm modules publication crowded alarm of level-one when within preset value.
Further, " all clear " printed words, and the alarm modules can be shown when all clear on the display screen
In loudspeaker can stop operating.
Further, the inlet at human flow collection module installation market, park or sight spot.
Further, the weather forecast acquisition module is connect with internet with earthquake pre-warning information acquisition module.
Further, the big data storage module is also communicated to connect with early warning diversity module, and the alarm modules are by expanding
Sound device, warning lamp composition, the alarm modules and display can issue different audio warning and alarm according to different alarms
Information, specific alerting process are as follows:
Step 1: early warning diversity module sends control alarm modules in main control module for alarm signal and sounds an alarm and aobvious
Display screen says display warning information；
Step 2: when the alarm of publication is primary alarm, the loudspeaker in alarm modules issues frequent and very brief police
Report sound, while the reason of can show alarm on display screen, and warning lamp can issue orange light and not stop to flash；
Step 3: the loudspeaker when the alarm of publication is second-level alarm in alarm modules issues buzzing alarming sound, simultaneously
The reason of alarm can be shown on display screen, and warning lamp can issue green light and not stop to flash；
Step 4: when the alarm of publication is three-level alarm, the loudspeaker in alarm modules issues permanent alarm song.
Beneficial effects of the present invention:
(1) present invention passes through the data processing module of setting, and the information and big data get to data obtaining module is deposited
The content that stores compare and score in storage module so that collected data can be analyzed it is more smart
Standard, effectively avoid Data Analysis Services malfunction so that subsequent alarm grading when, there is the shape of the inaccurate accidentally activating alarm of grading
Condition occurs, and allows the system to use more safe, while calculating the stream of people by formula B1+B2+B3=B4 and B4/3=B
Amount, calculating people's outflow that can be more accurate, the situation for avoiding alarm grading error caused by individual data malfunctions occur,
Further improve the safety of the system；
(2) present invention is graded module by the early warning of setting, can be more preferably according to different types of data by alarm types
It is divided into fire behavior class, natural calamity class and overstaffed class, the information for needing early warning is judged from many aspects, and according to it
The size of data carries out different gradings, so that can to issue early warning to different types of unsafe condition alert for the system
Report allows the system to be more suitable popularization and use to improve the safety of the system.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, the safety pre-warning system based on big data, including top control module, display screen, alarm modules, early warning
Diversity module, data reception module, data processing module, big data acquisition module, data obtaining module, flue gas information acquire mould
Block, temperature information acquisition module, weather forecast acquisition module, flow of the people information acquisition module and earthquake pre-warning information collection mould
Block；
The display screen and top control module communicate to connect, and the alarm modules and top control module communicate to connect, the early warning
Diversity module and top control module communicate to connect, and the data processing module and early warning diversity module communicate to connect, and the data connect
Receive module and data processing module to communicate to connect, the big data storage module and data processing, the data obtaining module with
The communication connection of flue gas information acquisition module, the temperature information acquisition module and information acquisition module communicate to connect, the weather
Forecast that acquisition module and data obtaining module communicate to connect, the flow of the people information acquisition module data obtaining module communication link
It connects；
The display screen is for showing pre-warning content and alert level, and the alarm modules are for issuing warning information, institute
It states in house, lavatory and the corridor that flue gas information acquisition module is mounted in building, the temperature information acquisition module is mounted on
In house, lavatory and corridor in building, the flue gas information acquisition module is respectively intended to acquire with temperature information acquisition module
House, lavatory in building and temperature and flue gas information in corridor；
The weather forecast acquisition module is for acquiring weather forecast information, and the flow of the people letter acquisition module is for acquiring
Flow of the people information, the earthquake pre-warning information acquisition module close letter for acquiring seismic facies；
The data obtaining module is for obtaining warning information, and the data reception module is for receiving data obtaining module
The information of acquisition, the data processing module is for handling the information that data reception module receives, and concrete processing procedure is such as
Under:
Step 1: data processing module can be marked and score to all data received；
Step 2: being labeled as Y for collected flue gas information, and collected temperature information is labeled as W, will be collected
Weather information is labeled as T, is L by collected flow of the people information flag, is Q by collected earthquake pre-warning information flag；
Step 3: it is divided into O points when the concentration of flue gas information Y is less than the preset value A1 news commentary, when the concentration of flue gas information Y is pre-
If when between value A1 ... A2, scoring is 1 point, when the concentration of flue gas breath Y is greater than preset value A2, scoring is 2 points；
Step 4: when the temperature of temperature information W is less than preset value B1, scoring is 0 point, when the temperature of temperature letter W exists
When between B1 ... B2, scoring is 1 point, and when the temperature of temperature letter W is greater than B2, scoring is 2 points；
Step 5: when the flow information of flow of the people information B is more than to be less than value C1, scoring is 0 point, when flow of the people information
When the flow information of B is between preset value C1 ... C2, scoring is 1 point, is preset when the flow information of flow of the people information B is greater than
When value C2, scoring is 2 points, and the specific calculating process of B value is as follows:
S1: flow of the people information acquisition module is made of three groups of cameras, wherein two groups are mounted on outside entrance, one group is mounted on
In entrance；
S2: by three groups of cameras it is collected to flow of the people information be respectively labeled as B1, B2 and B3；
S3: by formula B1+B2+B3=B4, available total flow believes B4；
S4: pass through formula B4/3=B, it can obtain accurate flow of the people information B；
Step 6: when the earthquake grade of earthquake warning information Q is less than preset value D, scoring is 1 point, works as earthquake pre-warning
When the earthquake grade of information Q is greater than preset value D, scoring is 2 points；
Step 7: when the content of weather forecast information T is fine day and cloudy day, scoring is 0 point, when weather forecast T's
Content is when having small sleet, and scoring is 1 point, and when the content of weather forecast T, which is, heavy rain heavy snow, scoring is 2 points；
Previous early warning record is stored in the big data storage module, the early warning diversity module is used for data
It manages the good content of resume module and carries out early warning classification, specific classification process is as follows:
Step 1: all data received are arranged and are sorted out, specific classification process is as follows:
S1: the data received can be divided into: fire behavior class, natural calamity class and overstaffed class；
S2: by the collected flue gas information Y of flue gas information acquisition module and the collected temperature of temperature information acquisition module
Information W is assigned as fire behavior category information；
S3: the collected Weather information T of weather forecast and the collected information Q of earthquake pre-warning information acquisition module are distributed
For natural calamity class；
S4；By the collected flow of the people information L of flow of the people information acquisition module, it is assigned as overstaffed class；
Step 2: by the available fire behavior value S of formula Y+W=S, when S is greater than preset value, top control module can control police
Module is reported to issue the alarm of second level fire behavior, when top control module can control alarm modules publication level-one fire to fire behavior value S within a preset range
Feelings alarm；
Step 3: pass through the available natural calamity value R of formula T+Q=R, when R is greater than preset value and Q is less than T, master control
Module can control alarm modules publication second level disaster alert, and when R, which is greater than preset value Q, is greater than T, top control module can control alarm mould
Block issues three-level disaster alert；
Step 4: when B value is more than preset value, top control module can control the alarm modules publication crowded alarm of second level, when B value
Top control module can control the alarm modules publication crowded alarm of level-one when within preset value.
" all clear " printed words, and the loudspeaker in the alarm modules can be shown when all clear on the display screen
It can stop operating；The inlet in human flow collection module installation market, park or sight spot；The weather forecast acquisition module
It is connect with internet with earthquake pre-warning information acquisition module；The big data storage module also with early warning diversity module communication link
It connects, the alarm modules are made of loudspeaker, warning lamp, and the alarm modules and display can issue not according to different alarms
Same audio warning and warning information, specific alerting process are as follows:
Step 1: early warning diversity module sends control alarm modules in main control module for alarm signal and sounds an alarm and aobvious
Display screen says display warning information；
Step 2: when the alarm of publication is primary alarm, the loudspeaker in alarm modules issues frequent and very brief police
Report sound, while the reason of can show alarm on display screen, and warning lamp can issue orange light and not stop to flash；
Step 3: the loudspeaker when the alarm of publication is second-level alarm in alarm modules issues buzzing alarming sound, simultaneously
The reason of alarm can be shown on display screen, and warning lamp can issue green light and not stop to flash；
Step 4: when the alarm of publication is three-level alarm, the loudspeaker in alarm modules issues permanent alarm song.
Safety pre-warning system based on big data, at work, flue gas information acquisition module, temperature information acquisition module,
Earthquake pre-warning information acquisition module, flow of the people information acquisition module and the collected information of weather forecast acquisition module can all be sent out
It being sent in data obtaining module, the information that data obtaining module is got can be then sent in data reception module and be received,
The information that data reception module can get data obtaining module, which is put into data processing module, to be handled, data processing mould
Block can will be stored in the data that received and big data storage module other than data compare, and according to previous data come into
Row is marked and scores to the data of acquisition, handles by data processing module and the data to score can be sent to early warning point
Classify in grade module, fire behavior class, natural calamity class and overstaffed class, early warning blower can be divided into the data for crossing scoring
Module can grade to alarm according to the size of data of warning information, comment from many aspects the information for needing early warning
Sentence, and different gradings is carried out according to the size of its data, so that the system can be to different types of unsafe condition
Early warning alarm is issued, to improve the safety of the system, the system is allowed to be more suitable popularization and use, rating information understands quilt
It is sent in top control module, top control module can put alert content according to the content-control alarm modules of rating information to remind people
It takes refuge.
The present invention passes through the data processing module being arranged first, and the information and big data get to data obtaining module is deposited
The content that stores compare and score in storage module so that collected data can be analyzed it is more smart
Standard, effectively avoid Data Analysis Services malfunction so that subsequent alarm grading when, there is the shape of the inaccurate accidentally activating alarm of grading
Condition occurs, and allows the system to use more safe, while calculating the stream of people by formula B1+B2+B3=B4 and B4/3=B
Amount, calculating people's outflow that can be more accurate, the situation for avoiding alarm grading error caused by individual data malfunctions occur,
Further improve the safety of the system；
Secondly the present invention is graded module by early warning of setting, can be more preferably according to different types of data by alarm types
It is divided into fire behavior class, natural calamity class and overstaffed class, the information for needing early warning is judged from many aspects, and according to it
The size of data carries out different gradings, so that can to issue early warning to different types of unsafe condition alert for the system
Report allows the system to be more suitable popularization and use to improve the safety of the system.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (5)
1. the safety pre-warning system based on big data, which is characterized in that including top control module, display screen, alarm modules, early warning point
Grade module, data reception module, data processing module, big data acquisition module, data obtaining module, flue gas information acquire mould
Block, temperature information acquisition module, weather forecast acquisition module, flow of the people information acquisition module and earthquake pre-warning information collection mould
Block；
The display screen and top control module communicate to connect, and the alarm modules and top control module communicate to connect, the early warning classification
Module and top control module communicate to connect, and the data processing module and early warning diversity module communicate to connect, the data reception
Block and data processing module communicate to connect, the big data storage module and data processing, the data obtaining module and flue gas
Information acquisition module communication connection, the temperature information acquisition module and information acquisition module communicate to connect, the weather forecast
Acquisition module and data obtaining module communicate to connect, the flow of the people information acquisition module data obtaining module communication connection；
The display screen is for showing pre-warning content and alert level, and the alarm modules are for issuing warning information, the cigarette
Gas information acquisition module is mounted in the house in building, lavatory and corridor, and the temperature information acquisition module is mounted on building
In interior house, lavatory and corridor, the flue gas information acquisition module and temperature information acquisition module are respectively intended to acquisition building
Interior house, lavatory and temperature and flue gas information in corridor；
The weather forecast acquisition module is for acquiring weather forecast information, and the flow of the people letter acquisition module is for acquiring the stream of people
Information is measured, the earthquake pre-warning information acquisition module closes letter for acquiring seismic facies；
The data obtaining module is for obtaining warning information, and the data reception module is for receiving data obtaining module acquisition
Information, for the data processing module for handling the information that data reception module receives, concrete processing procedure is as follows:
Step 1: data processing module can be marked and score to all data received；
Step 2: being labeled as Y for collected flue gas information, collected temperature information is labeled as W, by collected weather
Information flag is T, is L by collected flow of the people information flag, is Q by collected earthquake pre-warning information flag；
Step 3: it is divided into O points when the concentration of flue gas information Y is less than the preset value A1 news commentary, when the concentration of flue gas information Y is in preset value
When between A1 ... A2, scoring is 1 point, and when the concentration of flue gas breath Y is greater than preset value A2, scoring is 2 points；
Step 4: when the temperature of temperature information W is less than preset value B1, scoring is 0 point, when the temperature of temperature letter W is in B1 ...
When between B2, scoring is 1 point, and when the temperature of temperature letter W is greater than B2, scoring is 2 points；
Step 5: when the flow information of flow of the people information B is more than to be less than value C1, scoring is 0 point, when flow of the people information B's
When flow information is between preset value C1 ... C2, scoring is 1 point, when the flow information of flow of the people information B is greater than preset value
When C2, scoring is 2 points, and the specific calculating process of B value is as follows:
S1: flow of the people information acquisition module is made of three groups of cameras, wherein two groups are mounted on outside entrance, one group is mounted on entrance
It is interior；
S2: by three groups of cameras it is collected to flow of the people information be respectively labeled as B1, B2 and B3；
S3: by formula B1+B2+B3=B4, available total flow believes B4；
S4: pass through formula B4/3=B, it can obtain accurate flow of the people information B；
Step 6: when the earthquake grade of earthquake warning information Q is less than preset value D, scoring is 1 point, as earthquake warning information Q
Earthquake grade be greater than preset value D when, scoring be 2 points；
Step 7: when the content of weather forecast information T is fine day and cloudy day, scoring is 0 point, when the content of weather forecast T
When to there is small sleet, scoring is 1 point, and when the content of weather forecast T, which is, heavy rain heavy snow, scoring is 2 points；
Previous early warning record is stored in the big data storage module, the early warning diversity module is used for data processing mould
The content that block is handled well carries out early warning classification, and specific classification process is as follows:
Step 1: all data received are arranged and are sorted out, specific classification process is as follows:
S1: the data received can be divided into: fire behavior class, natural calamity class and overstaffed class；
S2: by the collected flue gas information Y of flue gas information acquisition module and the collected temperature information W of temperature information acquisition module
It is assigned as fire behavior category information；
S3: the collected Weather information T of weather forecast and the collected information Q of earthquake pre-warning information acquisition module are assigned as certainly
Right disaster class；
S4；By the collected flow of the people information L of flow of the people information acquisition module, it is assigned as overstaffed class；
Step 2: by the available fire behavior value S of formula Y+W=S, when S is greater than preset value, top control module can control alarm mould
Block issues the alarm of second level fire behavior, when top control module can control alarm modules publication level-one fire behavior police to fire behavior value S within a preset range
Report；
Step 3: pass through the available natural calamity value R of formula T+Q=R, when R is greater than preset value and Q is less than T, top control module
Alarm modules publication second level disaster alert can be controlled, when R, which is greater than preset value Q, is greater than T, top control module can control alarm modules hair
Cloth three-level disaster alert；
Step 4: when B value is more than preset value, top control module can control the alarm modules publication crowded alarm of second level, when B value is pre-
If top control module can control the alarm modules publication crowded alarm of level-one when within value.
2. the safety pre-warning system according to claim 1 based on big data, which is characterized in that described aobvious when all clear
" all clear " printed words can be shown in display screen, and the loudspeaker in the alarm modules can stop operating.
3. the safety pre-warning system according to claim 1 based on big data, which is characterized in that the flow of the people acquires mould
Block installs the inlet at market, park or sight spot.
4. the safety pre-warning system according to claim 1 based on big data, which is characterized in that the weather forecast acquisition
Module is connect with internet with earthquake pre-warning information acquisition module.
5. the safety pre-warning system according to claim 1 based on big data, which is characterized in that the big data stores mould
Block is also communicated to connect with early warning diversity module, and the alarm modules are made of loudspeaker, warning lamp, the alarm modules and display
Device can issue different audio warning and warning information according to different alarms, and specific alerting process is as follows:
Step 1: early warning diversity module sends control alarm modules in main control module for alarm signal and sounds an alarm and in display screen
Say display warning information；
Step 2: when the alarm of publication is primary alarm, the loudspeaker in alarm modules issues frequent and very brief alarm song,
The reason of showing alarm on display screen simultaneously, and warning lamp can issue orange light and not stop to flash；
Step 3: the loudspeaker when the alarm of publication is second-level alarm in alarm modules issues buzzing alarming sound, shows simultaneously
The reason of showing alarm on screen, and warning lamp can issue green light and not stop to flash；
Step 4: when the alarm of publication is three-level alarm, the loudspeaker in alarm modules issues permanent alarm song.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910218799.4A CN109887228A (en) | 2019-03-21 | 2019-03-21 | Safety pre-warning system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910218799.4A CN109887228A (en) | 2019-03-21 | 2019-03-21 | Safety pre-warning system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109887228A true CN109887228A (en) | 2019-06-14 |
Family
ID=66933439
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910218799.4A Pending CN109887228A (en) | 2019-03-21 | 2019-03-21 | Safety pre-warning system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109887228A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110180683A (en) * | 2019-06-21 | 2019-08-30 | 安徽国兰智能科技有限公司 | A kind of floatation system based on big data analysis |
| CN110474810A (en) * | 2019-08-21 | 2019-11-19 | 具东鹤 | A kind of communication check early warning system based on big data |
| CN112598862A (en) * | 2020-12-14 | 2021-04-02 | 合肥诺必达信息技术有限责任公司 | Security monitoring and early warning system for smart home |
| CN113415232A (en) * | 2021-07-07 | 2021-09-21 | 深圳前海汉视科技有限公司 | Vehicle lamp system for obstacle identification |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205788353U (en) * | 2016-04-15 | 2016-12-07 | 上海交通大学 | A kind of gateway, market artificial abortion's statistic device |
| US20170156020A1 (en) * | 2015-11-30 | 2017-06-01 | Aram Solution Co., Ltd. | Disaster safety system using combined beacon and method for processing thereof |
| CN107408230A (en) * | 2015-03-11 | 2017-11-28 | 西门子工业公司 | Diagnostics in Building Automation |
| CN109147267A (en) * | 2018-10-16 | 2019-01-04 | 温州洪启信息科技有限公司 | Intelligent campus big data safe early warning platform based on cloud platform |
| CN109359858A (en) * | 2018-10-15 | 2019-02-19 | 温州洪启信息科技有限公司 | Intelligent campus security-protection management system Internet-based |
-
2019
- 2019-03-21 CN CN201910218799.4A patent/CN109887228A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107408230A (en) * | 2015-03-11 | 2017-11-28 | 西门子工业公司 | Diagnostics in Building Automation |
| US20170156020A1 (en) * | 2015-11-30 | 2017-06-01 | Aram Solution Co., Ltd. | Disaster safety system using combined beacon and method for processing thereof |
| CN205788353U (en) * | 2016-04-15 | 2016-12-07 | 上海交通大学 | A kind of gateway, market artificial abortion's statistic device |
| CN109359858A (en) * | 2018-10-15 | 2019-02-19 | 温州洪启信息科技有限公司 | Intelligent campus security-protection management system Internet-based |
| CN109147267A (en) * | 2018-10-16 | 2019-01-04 | 温州洪启信息科技有限公司 | Intelligent campus big data safe early warning platform based on cloud platform |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110180683A (en) * | 2019-06-21 | 2019-08-30 | 安徽国兰智能科技有限公司 | A kind of floatation system based on big data analysis |
| CN110180683B (en) * | 2019-06-21 | 2021-01-26 | 安徽国兰智能科技有限公司 | Flotation system based on big data analysis |
| CN110474810A (en) * | 2019-08-21 | 2019-11-19 | 具东鹤 | A kind of communication check early warning system based on big data |
| CN110474810B (en) * | 2019-08-21 | 2023-09-05 | 内蒙古高投共建科技有限责任公司 | Communication detection early warning system based on big data |
| CN112598862A (en) * | 2020-12-14 | 2021-04-02 | 合肥诺必达信息技术有限责任公司 | Security monitoring and early warning system for smart home |
| CN113415232A (en) * | 2021-07-07 | 2021-09-21 | 深圳前海汉视科技有限公司 | Vehicle lamp system for obstacle identification |
| CN113415232B (en) * | 2021-07-07 | 2022-02-01 | 深圳前海汉视科技有限公司 | Vehicle lamp system for obstacle identification |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109887228A (en) | Safety pre-warning system based on big data | |
| CN204667451U (en) | Go into the well personal security supervision and management equipment in a kind of mine | |
| CN106534779A (en) | Intelligent monitoring system for early warning of security of scenic spot | |
| CN201544798U (en) | Vehicle-mounted alcohol real-time monitoring device | |
| CN108731737A (en) | A kind of the integrated information display systems and method of many reference amounts environmental monitoring system | |
| CN110473325A (en) | A kind of intelligence community management system | |
| CN114118847A (en) | Online monitoring platform for hazardous sources in chemical parks | |
| CN115662098A (en) | Intelligent building fire-fighting early warning method and system, electronic equipment and storage medium | |
| CN110853137A (en) | A guided fire-fighting fire rescue system and method based on three-dimensional scene restoration | |
| CN208173024U (en) | A kind of intelligently guiding parking lot managing and control system | |
| CN118430270A (en) | Bus safety early warning method and system based on platform real-time data fusion | |
| CN103267828A (en) | System and operating method for detecting the degree of air pollution caused by motor vehicles and the environment | |
| CN104574729A (en) | Alarming method, device and system | |
| CN109885605A (en) | A kind of city sign Index model data preprocess method | |
| CN118710056A (en) | A construction safety supervision system and method based on robot technology | |
| CN117057601B (en) | Non-coal mine safety monitoring and early warning system based on Internet of Things | |
| CN117690245A (en) | Intelligent monitoring and early warning method and system for building fire control | |
| CN208172857U (en) | A kind of Meteorological Risk Analysis early warning system of urban waterlogging disaster | |
| CN103278603B (en) | Utilize number plate recognition technology monitoring motor vehicle to the system and method for environmental impact | |
| CN116295626A (en) | Ecological environment monitoring and supervising system | |
| CN206162823U (en) | Can detect conflagration image processing recognition device of air smog content | |
| CN113188599A (en) | Wisdom district environmental monitoring system | |
| CN204649326U (en) | Tunnel monitoring device temperature cruising inspection system | |
| Lang et al. | Design of remote electronic fire monitoring system based on K-means clustering algorithm | |
| CN208819339U (en) | Intelligent building alarm system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190614 |
|
| RJ01 | Rejection of invention patent application after publication |