CN117395835A - Intelligent alarm lamp control method, device and system - Google Patents
Intelligent alarm lamp control method, device and system Download PDFInfo
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Abstract
The invention discloses an intelligent alarm lamp control method, device and system, which comprises the following steps: s1, obtaining alarm information, wherein the alarm information comprises time, place, details of a host, identity card information and contact phones; s2, analyzing alarm information and judging alarm types, S3, configuring alarm equipment and alarm personnel according to the alarm types; s4, collecting corresponding police officers according to the police officers; s5, controlling the police-out vehicle to enter a working state according to the configured police-out vehicle, wherein the working state comprises fire-fighting vehicle lamps and lamp color changes, so that the problem that firefighters cannot be effectively converted into the police-out state when police-out is carried out at night although alarm bell sounds are indicated in the prior art when the police-out force is configured and corresponding assembly is carried out by the firefighters is not easy to match.
Description
Technical Field
The invention relates to the technical field of intelligent fire control, in particular to an intelligent warning lamp control method, device and system.
Background
The fire fighter can go out police in time and relate to the life and property safety of people, the working time of the fire fighter is impossible to be in daytime only, every time an alarm-out task is received, the device for notifying the fire fighter of going out police only has a fire alarm bell, the fire fighter can be alerted quickly in daytime and can enter into a working state quickly, but after entering night, the action of the fire alarm bell is not so bright especially when the fire fighter needing to go out police has fallen asleep.
At present, the intelligent warning light control method mainly comprises the steps of collecting wiring information, checking the wiring information, drawing a connection diagram, simulating operation and finishing checking.
For example, the invention patent with publication number CN114764658A discloses a method, a device and a system for intelligent dispatching of a special warning vehicle, comprising: the method comprises the steps that a local alarm receiving unit collects face pictures of an alarm person and performs preprocessing and feature extraction; comparing and matching the preprocessed face picture with archive information in a face database of a local commander; voice recognition is carried out in real time, alarm information is received and sent to a special vehicle, and man-vehicle information is bound and sent to a three-in-one alarm receiving and processing platform; judging whether a matched emergency alarm task exists or not in real time; the special warning vehicle rapidly warns, automatically opens and navigates to the accident point, and performs real-time voice acquisition, voice recognition and data interaction; the invention adopts the intelligent information interaction means of the alarm, thereby improving the alarm efficiency and the driving safety of the special alarm vehicle.
The existing alarm receiving platform is used for fast scheduling, and is still in a traditional police force gathering mode after alarm information is analyzed and processed, when a firefighter is in deep sleep, the firefighter can quickly, accurately and intuitively find and assign a firefighting vehicle to move when receiving an alarm task, the firefighter is crucial to the second-striving firefighting rescue task, the firefighter is not easy to quickly match when the police force is configured and corresponding assembly is carried out, and meanwhile, during night alarm, although an alarm bell is provided, the firefighter in a sleep state cannot be effectively converted into an alarm state.
In this regard, the inventor combines the daily actual combat experience of the firefighting rescue team in the long-term department to provide an intelligent warning light control system so as to improve warning efficiency.
Disclosure of Invention
The application solves the problem that firefighters in the prior art cannot be effectively converted into an alarm state when the firefighters are in the alarm state at night although alarm bell sounds are indicated when the firefighters are in the alarm state at night.
The application provides an intelligent alarm lamp control method, which comprises the following steps: s1, obtaining alarm information, wherein the alarm information comprises time, place, details of a host, identity card information and contact phones; s2, analyzing alarm information and judging alarm types; s3, configuring alarm equipment and alarm personnel according to the alarm class; s4, collecting corresponding police officers according to the police officers; s5, controlling the police-out vehicle to enter a working state according to the configured police-out vehicle, wherein the working state comprises fire-fighting vehicle lamps and lamp color changes.
Further, in the step S1, the obtaining the alarm information specifically includes: the method comprises the steps that alarm classification is achieved through data interception services of an alarm processing platform, the data interception services analyze data types according to alarm information through real-time interception of alarm output information of the alarm processing platform, and new data instructions are organized according to the data types, and the new data instructions comprise alarm output types; the data types include fire, emergency and social aid.
Further, the data interception service includes that after a sound signal is obtained, noise reduction pretreatment is performed on the sound, semantic recognition is performed through database comparison, alarm information is obtained, and the noise reduction treatment steps are as follows: converting the sound signal into continuous analog signal s (t) by analog-to-digital (AD) conversion, and performing discrete sampling to obtain digital signal s (n); framing the digital signal s (n) to obtain a frame signal si (n), wherein i represents an ith frame; performing discrete fourier DFT on the frame signal si (n), and the formula is: wherein h (N) is a window function, smoothing is mainly performed, and N represents the length of a discrete fourier transform operation point, generally the power of 2, such as 512 points; calculating a result by discrete Fourier transform, further solving a corresponding power spectrum, and reserving only the first half value, wherein the calculation result is specifically expressed by the following formula:
further, the address is acquired through the alarm receiving platform after the alarm is received, the alarm receiving platform analyzes through inquiring historical data, and the unmanned aerial vehicle of the fire department is sent to the target place to be alerted, and receives the field image and the video transmitted back by the unmanned aerial vehicle.
Further, according to the alert personnel, the step S4, the step of aggregating the corresponding alert personnel includes the following steps: remotely controlling the lighting lamp of the dormitory of the police-exit firefighter to be turned on and turning on the mobile phone bell of the police-exit firefighter; the remote control alarm fire fighter dormitory lighting lamp is lightened, one-to-one communication service between the service end and the terminal dormitory lighting lamp is realized through the specific protocol type of the remote communication service of the alarm processing platform, and a specific light effect is controlled in batches or singly; the main mode of the control alarm fire fighter mobile phone ring is that the alarm receiving and processing platform dials the alarm fire fighter mobile phone number automatically through dialing software.
Further, the specific protocol is an MQTT protocol, the signal port of the server and the signal port of the terminal are connected through the MQTT protocol, and the MQTT protocol provides data transmission and monitoring of remote equipment based on the cloud platform under a low-bandwidth unreliable network.
Furthermore, the API docking mode based on the network communication protocol synchronizes information of the alarm receiving and processing platform and the alarm outputting intelligent lamp control system.
The application provides an intelligent light control device of police dispatch newspaper, the device includes: the alarm class identification module: the method is used for obtaining police-out category information, and the police-out category comprises the following steps: fire disaster, social aid and emergency rescue; vehicle information module: the method comprises the steps of acquiring vehicle information, wherein the vehicle information comprises vehicle models, number of nuclear carriers and current police conditions of vehicles; the police personnel information module: the method is used for obtaining police information, wherein the police information comprises police mobile phone numbers, dormitory numbers and current police conditions; the intelligent lamp interface docking module: the intelligent lamp is used for docking the intelligent lamp and controlling the intelligent lamp to be turned on; the lamplight color regulation and control module is used for: the device is used for regulating and controlling the light color and the color conversion of the tri-color lamp.
The application provides an intelligent alarm lamp control system, which comprises an alarm receiving and processing platform and an intelligent lamp, wherein the alarm receiving and processing platform is connected with the intelligent lamp through wireless communication; the alarm receiving and processing platform comprises an alarm type identification module, a vehicle information module and an alarm person module; the alarm class identification module: for obtaining police category information, the categories comprising: fire disaster, social aid and emergency rescue; the vehicle information adding module: the method comprises the steps of acquiring vehicle information, wherein the vehicle information comprises vehicle models, number of load-on-demand, targeted alarm conditions and current alarm conditions of vehicles; the alarm person module: the method is used for obtaining police information, wherein the police information comprises police mobile phone numbers, dormitory numbers and current police conditions; the intelligent lamp comprises an intelligent lamp interface docking module and a lamplight color regulating module; the intelligent lamp interface docking module: the intelligent lamp is used for docking the intelligent lamp and controlling the intelligent lamp to be turned on; the lamplight color regulation and control module is used for: the device is used for regulating and controlling the light color and the color conversion of the tri-color lamp.
One or more technical solutions provided in the present application have at least the following technical effects or advantages: the warning speed and efficiency are low because the warning is mostly pulled manually by the traditional warning post-warning mirror lamp control system and the warning power and equipment configuration system, in the scheme, warning information is acquired, the warning information comprises time, place, detail of a host, identity card information and contact phones, possible places and personnel can be quickly inquired, warning information is analyzed, warning categories are judged, warning equipment and warning personnel are configured according to the warning categories, according to the police discharging personnel, the corresponding police discharging personnel can be gathered, personnel and equipment can be automatically distributed according to the obtained information, and the police discharging vehicles are controlled to enter a working state according to the configured police discharging vehicles, the working state comprises fire-fighting lamps and lamp color changes, the corresponding police discharging equipment and personnel are automatically controlled, the efficiency is higher, the error rate is lower, the analyzed data and the alarm receiving information can be compared, the more accurate actual sending places and personnel can be obtained through analysis, and corresponding proper police strength and equipment can be configured.
According to the alarm information, the alarm receiving and processing platform sends the unmanned aerial vehicle to the target site to be alerted, receives the field image and video transmitted back by the unmanned aerial vehicle, can carry back the earlier real sending state with the advanced investigation and analysis, and can timely allocate the corresponding police force when the police force is not matched, so as to avoid disaster or dangerous situation expansion caused by the police force configuration error and reduce the harm of dangerous situations as much as possible.
Drawings
FIG. 1 is a schematic flow chart of an intelligent warning lamp control method, device and method provided by the invention;
fig. 2 is a system topology diagram of an intelligent alarm lamp control method, device and method provided by the invention.
Detailed Description
According to the intelligent warning light control method, device and system, the problem that firefighters in a sleep state cannot be effectively converted into a warning state when warning is sent out at night although warning sounds are provided when the firefighters are not easy to match quickly when warning force is configured and corresponding assembly is achieved in the prior art is solved.
The work of firefighters is closely related to the life of people, whether a fire department can timely give an alarm is related to the life and property safety of people, the working time of the firefighters cannot be just in the daytime, the equipment for notifying the firefighters of giving an alarm only has a fire alarm when receiving an alarm-giving task, people can be quickly alerted in the daytime and quickly enter a working state, and after entering the night, the action of the fire alarm is not so bright especially when the firefighters needing to give an alarm have fallen asleep.
In order to wake up a sleeping firefighter in time and enable the sleeping firefighter to finish the rapid switching from a sleep state to a working state as soon as possible, the invention provides an intelligent warning light control method.
The technical scheme in this application embodiment is for solving above-mentioned, has the problem of out police efficiency and out police accuracy, and the overall thinking is as follows:
as shown in the figure, S1, alarm information is obtained firstly, wherein the alarm information comprises time, place, detail of a host, identity card information and contact telephone; s2, analyzing alarm information and judging alarm types; s3, configuring alarm equipment and alarm personnel according to the alarm class; s4, collecting corresponding police officers according to the police officers; s5, controlling the police-out vehicle to enter a working state according to the configured police-out vehicle, wherein the working state comprises fire-fighting vehicle lamps and lamp color changes.
In this embodiment, the alarm receiving and processing platform receives the alarm information through the data interception service, screens the alarm information, judges the alarm category, and can acquire the alarm information through the image and the video transmitted back by the unmanned aerial vehicle, supplement the alarm information and correct the alarm category.
Further, in the step S1, the obtaining the alarm information specifically includes: the method comprises the steps that alarm classification is achieved through data interception services of an alarm processing platform, the data interception services analyze data types according to alarm information through real-time interception of alarm output information of the alarm processing platform, and new data instructions are organized according to the data types, and the new data instructions comprise alarm output types; the data types include fire, emergency and social aid.
Further, the data interception service includes that after a sound signal is obtained, noise reduction pretreatment is performed on the sound, semantic recognition is performed through database comparison, alarm information is obtained, and the noise reduction treatment steps are as follows: converting the sound signal into continuous analog signal s (t) by analog-to-digital (AD) conversion, and performing discrete sampling to obtain digital signal s (n); framing the digital signal s (n) to obtain a frame signal si (n), wherein i represents an ith frame; performing discrete fourier DFT on the frame signal si (n), and the formula is: wherein h (N) is a window function, smoothing is mainly performed, and N represents the length of a discrete fourier transform operation point, generally the power of 2, such as 512 points; calculating a result by discrete Fourier transform, further solving a corresponding power spectrum, and reserving only the first half value, wherein the calculation result is specifically expressed by the following formula:
in the framing process, a sampling period ts, the number Nc of overlapping samples and a frame signal length NF are obtained, adjacent frames have overlapping parts, when NF is larger than Nc, the displacement time period of the adjacent frames is calculated as (NF-Nc) ts, and if the effective data length of the tail frames is not enough, zero filling is performed.
In this embodiment, for the alert information input by voice, the alert information is identified through the data interception service, after the sound signal is obtained, the noise reduction pretreatment is performed on the sound signal, then the semantic recognition is performed through the database comparison, the alert information is obtained, the feature extraction pretreatment is performed to obtain a feature extraction result, the feature extraction process may include discrete sampling the continuous analog signal through the analog-to-digital conversion of the sound signal to obtain a digital signal, framing the digital signal to obtain a frame signal, further processing to obtain an extraction feature, and then the semantic recognition is performed through the database comparison, thereby obtaining the alert information.
Further, the address is acquired through the alarm receiving platform after the alarm is received, the alarm receiving platform analyzes through inquiring historical data, and the unmanned aerial vehicle of the fire department is sent to the target place to be alerted, and receives the field image and the video transmitted back by the unmanned aerial vehicle.
Further, according to the alert personnel, the step S4, the step of aggregating the corresponding alert personnel includes the following steps: remotely controlling the lighting lamp of the dormitory of the police-exit firefighter to be turned on and turning on the mobile phone bell of the police-exit firefighter; the remote control alarm fire fighter dormitory lighting lamp is lightened, one-to-one communication service between the service end and the terminal dormitory lighting lamp is realized through the specific protocol type of the remote communication service of the alarm processing platform, and a specific light effect is controlled in batches or singly; the main mode of the control alarm fire fighter mobile phone ring is that the alarm receiving and processing platform dials the alarm fire fighter mobile phone number automatically through dialing software.
Further, the specific protocol, namely the MQTT protocol, is that the signal port of the server and the signal port of the terminal are connected through the MQTT protocol, the MQTT is a client-server based message publishing transmission protocol, and the MQTT protocol is light, simple, open and easy to implement, so that the application range of the MQTT protocol is very wide, including in a limited environment, the MQTT protocol can provide data transmission and monitoring of remote devices based on a cloud platform under a low-bandwidth and unreliable network.
Furthermore, the API docking mode based on the network communication protocol synchronizes information of the alarm receiving and processing platform and the alarm outputting intelligent lamp control system.
In this embodiment, the system server is composed of two CPU models of Xeon E5-2620v3,2.4G, six cores, a memory of 32G (DDR 4 2133ECC REG memory 16G x 2), a hard disk 1200G (600G x 2), and 2.5 inch 10k 6gb SAS (RAID 1), and is shared by the web server and the database server.
In this embodiment, to the fire engine controlled car light, adopt intelligent on-vehicle three-color lamp to customize the integrated advanced product of production for professional producer, use wifi networking, MQTT agreement to communicate, communication distance can be controlled within 100 meters, adopt IPEX antenna, can use chargeable lithium cell to supply power, the memory is 32Mbit, can send out three colours of RGB, the characteristics that LED maximum power is 3.2W.
In the embodiment, aiming at dormitory illumination lamps, an audible and visual warning lamp is adopted, the model is H50/T50 series, the lamp is white, a buzzer with 85-110 dB is arranged, a lampshade is made of PC (polycarbonate) serving as a raw material, the lamp is in two working modes of normal illumination and flash illumination, a base can be folded in a 180-degree rotating mode, the LED lamp with three colors of red, yellow and green is selectable in color, and the lamp has the advantages of high brightness, low energy consumption, stable quality and the like.
The embodiment of the application provides an intelligent warning light control device, the device includes: the alarm class identification module: the method is used for obtaining police-out category information, and the police-out category comprises the following steps: fire disaster, social aid and emergency rescue; vehicle information module: the method comprises the steps of acquiring vehicle information, wherein the vehicle information comprises vehicle models, number of nuclear carriers and current police conditions of vehicles; the police personnel information module: the method is used for obtaining police information, wherein the police information comprises police mobile phone numbers, dormitory numbers and current police conditions; the intelligent lamp interface docking module: the intelligent lamp is used for docking the intelligent lamp and controlling the intelligent lamp to be turned on; the lamplight color regulation and control module is used for: the device is used for regulating and controlling the light color and the color conversion of the tri-color lamp.
The embodiment of the application provides an intelligent alarm lamp control system, which comprises an alarm receiving and processing platform and an intelligent lamp, wherein the alarm receiving and processing platform is connected with the intelligent lamp through wireless communication; the alarm receiving and processing platform comprises an alarm type identification module, a vehicle information module and an alarm person module; the alarm class identification module: for obtaining police category information, the categories comprising: fire disaster, social aid and emergency rescue; the vehicle information adding module: the method comprises the steps of acquiring vehicle information, wherein the vehicle information comprises vehicle models, number of load-on-demand, targeted alarm conditions and current alarm conditions of vehicles; the alarm person module: the method is used for obtaining police information, wherein the police information comprises police mobile phone numbers, dormitory numbers and current police conditions; the intelligent lamp comprises an intelligent lamp interface docking module and a lamplight color regulating module; the intelligent lamp interface docking module: the intelligent lamp is used for docking the intelligent lamp and controlling the intelligent lamp to be turned on; the lamplight color regulation and control module is used for: the device is used for regulating and controlling the light color and the color conversion of the tri-color lamp.
The method comprises the steps of obtaining alarm information, wherein the alarm information comprises time, places, details of a host, identity card data and contact phones, the possible places and people can be rapidly inquired, the alarm information is analyzed, the alarm type is judged, alarm equipment and alarm personnel are configured according to the alarm type, the corresponding alarm personnel are gathered according to the alarm personnel, the personnel and equipment can be automatically distributed according to the obtained information, and the alarm vehicles are controlled to enter a working state according to the configured alarm vehicles, the working state comprises fire lights and lamp color changes, the corresponding alarm equipment and personnel are automatically controlled, the efficiency is higher, the error rate is lower, the analyzed data and alarm receiving information can be compared, the more accurate actual places and people are obtained through analysis, and corresponding proper police force and equipment are configured.
Claims (10)
1. The intelligent warning lamp control method is characterized by comprising the following steps of:
s1, obtaining alarm information, wherein the alarm information comprises time, place, details of a host, identity card information and contact phones;
s2, analyzing alarm information and judging alarm types;
s3, configuring alarm equipment and alarm personnel according to the alarm class;
s4, collecting corresponding police officers according to the police officers;
s5, controlling the police-out vehicle to enter a working state according to the configured police-out vehicle, wherein the working state comprises fire-fighting vehicle lamps and lamp color changes.
2. The method for controlling an intelligent warning lamp according to claim 1, wherein the step S1 of obtaining warning information specifically includes:
the method comprises the steps that alarm classification is achieved through data interception services of an alarm processing platform, the data interception services analyze data types according to alarm information through real-time interception of alarm information of the alarm processing platform, and new data instructions are organized according to the data types, and the new data instructions comprise alarm types; the data types include fire, emergency and social aid.
3. The intelligent warning light control method according to claim 2, wherein the data interception service comprises the steps of performing noise reduction pretreatment on sound after obtaining a sound signal, performing semantic recognition through database comparison, and obtaining warning information, wherein the noise reduction treatment comprises the following steps:
converting the sound signal into continuous analog signal S (t) through analog-digital (AD) discrete sampling to obtain digital signal S (n);
framing the digital signal S (n) to obtain a frame signal Si (n), wherein i represents an ith frame;
performing discrete fourier DFT on the frame signal Si (n), and the formula is:
wherein h (N) is a window function, smoothing is mainly performed, and N represents the length of a discrete fourier transform operation point, generally the power of 2, such as 512 points;
the discrete fourier transform calculation result is used to further calculate the corresponding power spectrum Pi (n), and only the first half value is reserved, specifically expressed by the following formula:
4. the intelligent warning light control method according to claim 3, wherein the framing process further comprises: and acquiring a sampling period ts, the number Nc of overlapping samples and the frame signal length NF, wherein adjacent frames have overlapping parts, and when NF is more than Nc, calculating the displacement time period of the adjacent frames as (NF-Nc) ts, and carrying out zero padding treatment if the effective data length of the tail frames is insufficient.
5. The intelligent warning light control method according to claim 1, wherein after warning is received, an address is acquired through a warning receiving platform, the warning receiving platform analyzes through inquiring historical data, and the unmanned aerial vehicle of a fire department is sent to a target place to be warned, and receives a field image and a field image returned by the unmanned aerial vehicle.
6. The intelligent warning light control method according to claim 1, wherein in step S4, according to the warning personnel, the collecting the corresponding warning personnel comprises the following steps:
remotely controlling the lighting lamp of the dormitory of the police-exit firefighter to be turned on and turning on the mobile phone bell of the police-exit firefighter;
the remote control alarm fire fighter dormitory lighting lamp is lightened, one-to-one communication service between the service end and the terminal dormitory lighting lamp is realized through the specific protocol type of the remote communication service of the alarm processing platform, and a specific light effect is controlled in batches or singly;
the main mode of the control alarm fire fighter mobile phone ring is that the alarm receiving and processing platform dials the alarm fire fighter mobile phone number automatically through dialing software.
7. The intelligent alarm light control method according to claim 6, wherein the specific protocol is an MQTT protocol, the signal port of the server and the signal port of the terminal are connected by the MQTT protocol, and the MQTT protocol provides data transmission and monitoring of the remote device based on the cloud platform under a low-bandwidth and unreliable network.
8. The intelligent warning light control method according to claim 7, wherein based on the MQTT protocol, information of a warning receiving platform and information of a warning intelligent light control system are synchronously received by using an API (application program interface) docking mode.
9. An intelligent warning light control device, which is characterized in that the device comprises: the system comprises an alarm information docking module, an alarm information analysis module, an alarm category analysis module, an alarm personnel gathering module and an alarm vehicle control module;
the alarm information docking module: the method is used for obtaining alarm information, wherein the alarm information comprises time, place, details of a host, identity card information and contact phones;
the alarm information analysis module: the alarm information is used for analyzing alarm information and judging alarm types;
the alarm class analysis module: the alarm system is used for configuring alarm equipment and alarm personnel according to the alarm class;
the police outputting personnel gathering module is as follows: the system is used for collecting corresponding police officers according to the police officers;
the warning vehicle control module is as follows: the system is used for controlling the police-exit vehicle to enter a working state according to the configured police-exit vehicle, wherein the working state comprises fire-fighting lamps and lamp color changes.
10. The intelligent alarm light control system is characterized by comprising an alarm receiving and processing platform and an intelligent lamp, wherein the alarm receiving and processing platform is connected with the intelligent lamp through wireless communication;
the alarm receiving and processing platform comprises a user account adding module, an organization setting module, a vehicle information adding module, a vehicle classification setting module, an alarm receiving and outputting platform docking module, an alarm outputting type identification module, a historical data query module and a historical data outputting module;
the user account adding module is used for: the method comprises the steps of acquiring user information, wherein the user information comprises a user mobile phone number, a user dormitory number and a user alarm condition;
the vehicle information adding module: the method comprises the steps of acquiring vehicle information, wherein the vehicle information comprises vehicle models, number of nuclear carriers and current police conditions of vehicles;
the vehicle classification setting module: the vehicle classification method comprises the steps of classifying vehicles, wherein the vehicle classification comprises fire alarm vehicles, social rescue alarm vehicles and emergency alarm vehicles;
the alarm receiving platform docking module comprises: information docking for acquiring an alarm receiving platform, wherein the information comprises: police-out places, police-out personnel mobile phone numbers and dormitory numbers, police-out vehicles and police-out appointed reminding lamp colors;
the alarm class identification module: the method is used for obtaining police category information, wherein the categories comprise fire disaster, social assistance and rescue;
the intelligent lamp comprises an intelligent lamp interface docking module and a lamplight color regulating module;
the intelligent lamp interface docking module: the intelligent lamp is used for docking the intelligent lamp and controlling the intelligent lamp to be turned on;
the lamplight color regulation and control module is used for: the device is used for regulating and controlling the light color and the color conversion of the tri-color lamp.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117649212A (en) * | 2024-01-30 | 2024-03-05 | 陕西跃途警用装备制造有限公司 | Public security and control integrated management cloud platform based on big data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117649212A (en) * | 2024-01-30 | 2024-03-05 | 陕西跃途警用装备制造有限公司 | Public security and control integrated management cloud platform based on big data analysis |
| CN117649212B (en) * | 2024-01-30 | 2024-04-26 | 陕西跃途警用装备制造有限公司 | Public security and control integrated management cloud platform based on big data analysis |
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