CN114913638A - Fire-fighting access control management method and system based on Internet - Google Patents
Fire-fighting access control management method and system based on Internet Download PDFInfo
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- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/009—Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
- G08B27/001—Signalling to an emergency team, e.g. firemen
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
- H02J9/068—Electronic means for switching from one power supply to another power supply, e.g. to avoid parallel connection
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Abstract
The invention discloses a fire-fighting access control management method and a system based on the internet, belonging to the technical field of access control management, wherein a monitoring unit is used for identifying human bodies, detecting the concentration of indoor gas in real time, sensing the concentration of indoor particle smoke, sensing the indoor temperature in real time, positioning the geographic position data of fire occurrence through an alarm unit, automatically identifying and positioning the geographic position of security protection, preferentially selecting the nearest security protection point away from the fire occurrence point, acquiring the fire occurrence point information, integrating the security protection point information acquired by a security protection point acquisition module to form a single data packet, acquiring the communication information of the security protection point to carry out emergency calling, effectively carrying out emergency treatment on the fire occurrence through automatic monitoring and alarming, avoiding delaying rescue time, simultaneously avoiding that the access control cannot be opened in time due to damage of a main power supply circuit of the access control, shortening emergency evacuation time and simultaneously not easily delaying security personnel to enter rescue work, and reduce property loss.
Description
Technical Field
The invention belongs to the technical field of entrance guard management, and particularly relates to a fire fighting entrance guard management method and system based on the Internet.
Background
The Access Control System is in the field of intelligent buildings, and means an Access Control System, called ACS for short, refers to the prohibition authority of a door, and is used for guarding against the door, wherein the door comprises various passages capable of passing, including a door through which people pass, a door through which vehicles pass, and the like in a broad sense, so that the Access Control System comprises the vehicle Access Control. In the management application of the parking lot, the vehicle entrance guard is an important means of vehicle management, does not aim at collecting parking fee, and mainly manages the vehicle access authority, the entrance and exit entrance guard safety management system is a novel modern safety management system, integrates a microcomputer automatic identification technology and modern safety management measures, relates to a plurality of new technologies such as electronics, machinery, optics, a computer technology, a communication technology, a biotechnology and the like, is an effective measure for realizing safety precaution management of the entrance and exit of an important department, and is suitable for various important departments such as banks, hotels, parking lot management, machine rooms, military machine depots, key rooms, offices, intelligent districts, factories and the like.
At present, in fire control entrance guard management application based on the internet, the identities of people who come in and go out are usually verified in a plurality of identification modes, and the conventional verification modes include face identification, secret key identification and fingerprint identification modes, but in the application of various fields such as security, national defense and electronic commerce, the iris identification technology is usually taken as a key point, but some factors influencing the iris identification effect are still not well overcome, such as the deformation of an iris image, the interference of eyelids and eyelash noise; when fire occurs in a building, after a main power supply line of the entrance guard is damaged to cause a cutoff condition, the entrance guard cannot be opened in time, emergency evacuation of people is influenced, entry of security and protection personnel into rescue work is delayed, great property loss is caused, and certain potential safety hazards exist.
Disclosure of Invention
Technical problem to be solved
In order to overcome the defects of the prior art, the invention provides a fire control entrance guard management method and system based on the Internet, which solve the problem that iris recognition technology is usually used as a key point, but some factors influencing the iris recognition effect are still not well overcome, such as the deformation of an iris image, the interference of eyelids and eyelash noise; and when the fire condition appears in the building, after the main power supply line of entrance guard appears damaging, the condition that leads to the cutout takes place, the entrance guard can't open in time, delays security protection personnel and gets into rescue work when influencing personnel's urgent sparse, produces great loss of property, has the problem of certain potential safety hazard.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a fire control entrance guard management system based on internet, includes the monitoring unit, the output of monitoring unit is connected with entrance guard main control panel's input, entrance guard main control panel's output is connected with alarm unit's input, entrance guard main control panel's input is connected with power supply unit's output, power supply unit and power supply monitoring module both way junction, power supply monitoring module's output is connected with entrance guard main control panel and electric brake drive module's input, electric brake drive module's output and entrance guard main control panel's input are connected.
The entrance guard main control panel comprises a face recognition module, a fingerprint recognition module, a key recognition module and an iris recognition module, the iris recognition module comprises an iris image preprocessing module, the output end of the iris image preprocessing module is connected with the input end of a characteristic point extraction module, the output end of the characteristic point extraction module is connected with the input end of a noise elimination module, and the output end of the noise elimination module is connected with the input end of a characteristic matching module.
As a further scheme of the invention: the monitoring unit comprises an infrared detection module, a gas concentration detection module, a smoke sensing module and a temperature sensing module, and is specifically arranged in each building.
The infrared detection module is an infrared detector used for identifying a human body.
The gas concentration detection module is used for detecting the indoor gas concentration in real time.
The smoke sensing module is used for sensing the concentration of indoor particle smoke.
The temperature sensing module is used for sensing indoor temperature in real time.
As a further scheme of the invention: the alarm unit comprises a positioning module, a security and protection place acquisition module and a security and protection communication module.
The positioning module: and the geographic position data is used for positioning the fire.
The security and protection place acquisition module: and automatically identifying and positioning the security geographic position, and preferentially selecting the nearest security point away from the fire place.
The security protection communication module: the system is used for integrating the fire place information acquired by the positioning module and the security place information acquired by the security place acquisition module to form a single data packet, and acquiring the communication information of the security point to perform emergency call.
As a further scheme of the invention: the power supply unit comprises a main power supply module and a standby power supply module.
The main power supply module comprises a main power generator and is used for directly supplying power to the entrance guard main control panel.
The standby power supply module comprises a standby power generator, the standby power supply module and the main power supply module are connected in parallel, and electric quantity storage is carried out through external commercial power.
As a further scheme of the invention: the power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and turned on, and if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and turned off.
As a further scheme of the invention: the switch driving module is used for acquiring a switch opening and closing instruction of the standby power supply module and automatically controlling the opening and closing of the switch of the standby power supply module.
As a further scheme of the invention: the specific implementation steps of the iris recognition module are as follows:
s1, preprocessing the obtained iris image through the iris image preprocessing module, extracting texture edges with obvious gray level changes in the horizontal direction and the vertical direction in the iris image, neglecting partial weak textures susceptible to illumination and generating a directional energy characteristic template.
S101, firstly, positioning an image by adopting a Hough transformation algorithm, and then normalizing the image by using a J.daugman polar coordinate transformation algorithm, wherein the normalized image comprises ridges, spots and irregular blocks.
S102, filtering the image by designing a horizontal filtering operator and a vertical filtering operator, and detecting texture edges of the iris image in two directions, wherein the texture edges are specifically as follows:
s103, filtering the iris image through a horizontal filtering operator and a vertical filtering operator, extracting texture edges with obvious gray level change, and then calculating the difference between the image convolution result in the horizontal direction and the convolution filtering result in the vertical direction, wherein the image formed by the difference is the directional energy characteristic diagram of the whole iris.
S2, after obtaining the direction energy characteristic diagram of the iris, extracting any multiple effective characteristic points in the characteristic diagram through a characteristic point extraction module, dividing the direction energy characteristic diagram of the iris into M multiplied by N blocks, wherein the size of each block is 90/M multiplied by 360/N, the mark of each sub-block is Imn (x, y), the point with the maximum absolute value of each block is taken as the effective characteristic point, and the specific extraction steps are as follows:
let Hkh (x, y) be arg max (Imn), k be 90/M, and h be 360/N, and make Hkh (x, y) a new feature template, the size of the new template is 30 × 60, as shown below:
s3, the noise elimination module carries out interference elimination processing on the preprocessed image, the image is expanded, and the formula of the image expansion is as follows:
and if B (Y) is intersected with E and is not null, recording the Y point, wherein a set Y formed by all the Y points is called as a result of expansion of E by B, and designing the structural element B into a single unit matrix with the size being 1.5 times that of a characteristic extraction operator to achieve the denoising purpose.
S4, extracting the feature template as a binary feature, performing matching operation by using a Hamming distance formula, and taking the Hamming distance as an index for distinguishing iris internal categories, wherein the Hamming distance formula is as follows:
amask and Bmask are respectively noise templates of the test image and the registration image, the noise area is set to be 0 during calculation, the effective area is set to be 1, and Ai and Bi are respectively a feature vector of the iris to be recognized and a feature vector of the iris in the registration set.
A fire-fighting access control management method based on the Internet comprises the following steps:
a. firstly, the monitoring unit identifies a human body, detects the indoor gas concentration in real time, senses the concentration of indoor particle smoke and senses the indoor temperature in real time.
b. And secondly, positioning the data of the geographic position of the fire by the alarm unit, automatically identifying and positioning the security geographic position, preferentially selecting the nearest security point away from the fire place, acquiring the information of the fire place and integrating the information of the security place acquired by the security place acquisition module to form a single data packet, and acquiring the communication information of the security place to perform emergency calling.
c. The power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power failure occurs between the main power supply module and the entrance guard main control panel, a switch instruction for starting the standby power supply module is automatically identified, and if the power failure occurs between the main power supply module and the entrance guard main control panel, a switch instruction for closing the standby power supply module is automatically identified.
d. And secondly, the switch driving module acquires a switch opening and closing instruction of the standby power supply module and automatically controls the opening and closing of the switch of the standby power supply module.
e. When the identity needs to be verified through the access control system, the identity is verified in a face recognition mode, a fingerprint recognition mode, a secret key recognition mode or an iris recognition mode.
(III) advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a monitoring unit identifies a human body, detects the concentration of indoor gas in real time, senses the concentration of indoor particle smoke, senses the indoor temperature in real time, positions the geographical position data of a fire through an alarm unit, automatically identifies and positions the geographical position of security, preferentially selects the nearest security point away from the fire, acquires the fire information and integrates the security information acquired by a security acquisition module to form a single data packet, acquires the communication information of the security point for emergency calling, monitors the parallel circuit between a standby power supply module and a main power supply module in real time, automatically identifies and opens a power switch instruction of a standby power supply if the power supply module is powered off from a main control panel, and disables the main control panel if the power supply module is powered off from the main control panel, the emergency evacuation system has the advantages that the switch instruction of the standby power supply module is automatically identified and closed, the fire condition is effectively subjected to emergency treatment in an automatic monitoring and alarming mode, the delay of rescue time is avoided, the situation that the entrance guard cannot be opened timely due to the fact that a main power supply line of the entrance guard is damaged is avoided, the emergency evacuation time is shortened, the entering of security personnel into rescue work is not easily delayed, and property loss is reduced;
2. in the invention, edge detection is carried out on the iris image in the horizontal and vertical directions by using an edge operator, the direction energy difference of iris textures is extracted as a feature, the interference is removed by expanding a noise template, a Hamming distance matching method is used for generating a small feature vector, the matching speed is high, the anti-interference capability is strong, and the noise interference of iris recognition is effectively overcome, thereby further improving the iris recognition effect.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
As shown in the figure, the present invention provides a technical solution: the utility model provides a fire control entrance guard management system based on internet, including the monitoring unit, the output of monitoring unit is connected with entrance guard main control panel's input, entrance guard main control panel's output is connected with alarm unit's input, entrance guard main control panel's input is connected with power supply unit's output, power supply unit and power supply monitoring module both way junction, power supply monitoring module's output is connected with entrance guard main control panel and electric brake drive module's input, electric brake drive module's output is connected with entrance guard main control panel's input.
The entrance guard main control panel comprises a face recognition module, a fingerprint recognition module, a key recognition module and an iris recognition module, the iris recognition module comprises an iris image preprocessing module, the output end of the iris image preprocessing module is connected with the input end of the characteristic point extraction module, the output end of the characteristic point extraction module is connected with the input end of the noise elimination module, and the output end of the noise elimination module is connected with the input end of the characteristic matching module.
The monitoring unit comprises an infrared detection module, a gas concentration detection module, a smoke sensing module and a temperature sensing module, and is specifically arranged inside each building.
The infrared detection module is an infrared detector used for identifying a human body.
The gas concentration detection module is used for detecting the indoor gas concentration in real time.
The smoke sensing module is used for sensing the concentration of indoor particle smoke.
The temperature sensing module is used for sensing indoor temperature in real time.
The alarm unit comprises a positioning module, a security and protection place acquisition module and a security and protection communication module.
A positioning module: and the geographic position data is used for positioning the fire.
The security and protection place acquisition module: and automatically identifying and positioning the security geographic position, and preferentially selecting the nearest security point away from the fire place.
Security protection communication module: the system is used for integrating the fire place information acquired by the positioning module and the security place information acquired by the security place acquisition module to form a single data packet, and acquiring the communication information of the security point to perform emergency call.
The power supply unit comprises a main power supply module and a standby power supply module.
The main power supply module comprises a main power generator and is used for directly supplying power to the entrance guard main control panel.
The standby power supply module comprises a standby power generator, the standby power supply module and the main power supply module are connected in parallel, and electric quantity storage is carried out through external commercial power.
The power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and started, and if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and closed.
The switch driving module is used for obtaining a switch opening and closing instruction of the standby power supply module and automatically controlling the opening and closing of the switch of the standby power supply module.
The specific implementation steps of the iris recognition module are as follows:
s1, preprocessing the obtained iris image through the iris image preprocessing module, extracting texture edges with obvious gray level changes in the horizontal direction and the vertical direction in the iris image, neglecting partial weak textures susceptible to illumination and generating a directional energy characteristic template.
S101, firstly, positioning an image by adopting a Hough transformation algorithm, and then normalizing the image by using a J.daugman polar coordinate transformation algorithm, wherein the normalized image comprises ridges, spots and irregular blocks.
S102, filtering the image by designing a horizontal filtering operator and a vertical filtering operator, and detecting texture edges of the iris image in two directions, wherein the texture edges are specifically as follows:
s103, filtering the iris image through a horizontal filtering operator and a vertical filtering operator, extracting texture edges with obvious gray level change, and then calculating the difference between the image convolution result in the horizontal direction and the convolution filtering result in the vertical direction, wherein the image formed by the difference is the directional energy characteristic diagram of the whole iris.
S2, after obtaining the direction energy characteristic diagram of the iris, extracting any multiple effective characteristic points in the characteristic diagram through a characteristic point extraction module, dividing the direction energy characteristic diagram of the iris into M multiplied by N blocks, wherein the size of each block is 90/M multiplied by 360/N, the mark of each sub-block is Imn (x, y), the point with the maximum absolute value of each block is taken as the effective characteristic point, and the specific extraction steps are as follows:
let Hkh (x, y) be arg max (Imn), k be 90/M, and h be 360/N, and make Hkh (x, y) a new feature template, the size of the new template is 30 × 60, as shown below:
s3, the noise elimination module carries out interference elimination processing on the preprocessed image, the image is expanded, and the formula of the image expansion is as follows:
and if B (Y) is intersected with E and is not null, recording the Y point, wherein a set Y formed by all the Y points is called as a result of expansion of E by B, and designing the structural element B into a single unit matrix with the size being 1.5 times that of a characteristic extraction operator to achieve the denoising purpose.
S4, extracting the feature template as a binary feature, performing matching operation by using a Hamming distance formula, and taking the Hamming distance as an index for distinguishing iris internal categories, wherein the Hamming distance formula is as follows:
amask and Bmask are respectively noise templates of a test image and a registration image, a noise region is set to be 0, an effective region is set to be 1 during calculation, and Ai and Bi are respectively a feature vector of an iris to be identified and a feature vector of an iris in a registration set.
A fire-fighting access control management method based on the Internet comprises the following steps:
a. firstly, the monitoring unit identifies a human body, detects the indoor gas concentration in real time, senses the concentration of indoor particle smoke and senses the indoor temperature in real time.
b. And secondly, positioning the data of the geographic position of the fire by the alarm unit, automatically identifying and positioning the security geographic position, preferentially selecting the nearest security point away from the fire place, acquiring the information of the fire place and integrating the information of the security place acquired by the security place acquisition module to form a single data packet, and acquiring the communication information of the security place to perform emergency calling.
c. The power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power failure occurs between the main power supply module and the entrance guard main control panel, a switch instruction for starting the standby power supply module is automatically identified, and if the power failure occurs between the main power supply module and the entrance guard main control panel, a switch instruction for closing the standby power supply module is automatically identified.
d. And secondly, the switch driving module acquires a switch opening and closing instruction of the standby power supply module and automatically controls the opening and closing of the switch of the standby power supply module.
e. When the identity needs to be verified through the access control system, the identity is verified in a face recognition mode, a fingerprint recognition mode, a secret key recognition mode or an iris recognition mode.
To sum up, the following results are obtained:
the monitoring unit identifies a human body, detects the concentration of indoor gas in real time, senses the concentration of indoor particle smoke, senses the indoor temperature in real time, positions the geographic position data of a fire occurrence through the alarm unit, automatically identifies and positions the security geographic position, preferentially selects the nearest security point away from the fire occurrence place, acquires the fire information and integrates the security information acquired by the security information acquisition module to form a single data packet, acquires the communication information of the security point for emergency calling, monitors the parallel line between the standby power supply module and the main power supply module in real time through the power supply monitoring module, automatically identifies and opens a power gate instruction of the standby power supply module if the power supply module is disconnected with the entrance guard main control panel, and automatically identifies and closes a power gate instruction of the standby power supply module if the power supply module is disconnected with the entrance guard main control panel, the fire condition is effectively subjected to emergency treatment through automatic monitoring and alarming, the delay of rescue time is avoided, the situation that the entrance guard cannot be opened in time due to damage of a main power supply line of the entrance guard is avoided, the emergency evacuation time is shortened, meanwhile, security personnel are not easily delayed to enter rescue work, and property loss is reduced.
The iris image is subjected to edge detection by using an edge operator in the horizontal and vertical directions, the direction energy difference of iris grains is extracted as characteristics, the interference is removed by using an expansion noise template, the characteristic vector generated by a matching method by using a Hamming distance is small, the matching speed is high, the anti-interference capability is strong, and the noise interference of iris recognition is effectively overcome, so that the iris recognition effect is further improved.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.
Claims (8)
1. The utility model provides a fire control entrance guard management system based on internet, includes the monitoring unit, its characterized in that: the output end of the monitoring unit is connected with the input end of the entrance guard main control panel, the output end of the entrance guard main control panel is connected with the input end of the alarm unit, the input end of the entrance guard main control panel is connected with the output end of the power supply unit, the power supply unit is bidirectionally connected with the power supply monitoring module, the output end of the power supply monitoring module is connected with the input ends of the entrance guard main control panel and the electric brake driving module, and the output end of the electric brake driving module is connected with the input end of the entrance guard main control panel;
the entrance guard main control panel comprises a face recognition module, a fingerprint recognition module, a key recognition module and an iris recognition module, the iris recognition module comprises an iris image preprocessing module, the output end of the iris image preprocessing module is connected with the input end of a characteristic point extraction module, the output end of the characteristic point extraction module is connected with the input end of a noise elimination module, and the output end of the noise elimination module is connected with the input end of a characteristic matching module.
2. The internet-based fire access control system according to claim 1, wherein: the monitoring unit comprises an infrared detection module, a gas concentration detection module, a smoke sensing module and a temperature sensing module, and is specifically arranged in each building;
the infrared detection module is an infrared detector for identifying a human body;
the gas concentration detection module is used for detecting the indoor gas concentration in real time;
the smoke sensing module is used for sensing the concentration of indoor particle smoke;
the temperature sensing module is used for sensing indoor temperature in real time.
3. The internet-based fire access control system according to claim 1, wherein: the alarm unit comprises a positioning module, a security and protection place acquisition module and a security and protection communication module;
the positioning module: geographic location data for locating occurrences of fires;
the security and protection place acquisition module: automatically identifying and positioning the security geographic position, and preferentially selecting the nearest security point away from the fire place;
the security protection communication module: the system is used for integrating the fire place information acquired by the positioning module and the security place information acquired by the security place acquisition module to form a single data packet, and acquiring the communication information of the security point to perform emergency call.
4. The internet-based fire access control system according to claim 1, wherein: the power supply unit comprises a main power supply module and a standby power supply module;
the main power supply module comprises a main power supply generator which is used for directly supplying power to the access control main control panel;
the standby power supply module comprises a standby power generator, the standby power supply module and the main power supply module are connected in parallel, and electric quantity storage is carried out through external commercial power.
5. The internet-based fire access control system according to claim 1, wherein: the power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and turned on, and if the power between the main power supply module and the entrance guard main control panel is cut off, a switch instruction of the standby power supply module is automatically identified and turned off.
6. The internet-based fire control entrance guard management system of claim 1, characterized in that: the switch driving module is used for obtaining a switch opening and closing instruction of the standby power supply module and automatically controlling the opening and closing of the switch of the standby power supply module.
7. The internet-based fire access control system according to claim 1, wherein: the specific implementation steps of the iris recognition module are as follows:
s1, firstly, preprocessing the obtained iris image through an iris image preprocessing module, extracting texture edges with obvious gray level changes in the horizontal direction and the vertical direction in the iris image, neglecting partial weak textures susceptible to illumination and generating a directional energy characteristic template;
s101, firstly, positioning an image by adopting a Hough transformation algorithm, and then normalizing the image by using a J.daugman polar coordinate transformation algorithm, wherein the normalized image comprises ridges, spots and irregular blocks;
s102, filtering the image by designing a horizontal filtering operator and a vertical filtering operator, and detecting texture edges of the iris image in two directions, wherein the texture edges are specifically as follows:
s103, filtering the iris image after passing through a horizontal filtering operator and a vertical filtering operator, extracting texture edges with obvious gray level change, and then calculating the difference between the image convolution result in the horizontal direction and the convolution filtering result in the vertical direction, wherein the image formed by the difference is the directional energy characteristic diagram of the whole iris;
s2, after obtaining the direction energy characteristic diagram of the iris, extracting any multiple effective characteristic points in the characteristic diagram through a characteristic point extraction module, dividing the direction energy characteristic diagram of the iris into M multiplied by N blocks, wherein the size of each block is 90/M multiplied by 360/N, the mark of each subblock is Imn (x, y), and taking the point with the maximum absolute value of each block as the effective characteristic point, wherein the specific extraction steps are as follows:
let Hkh (x, y) be arg max (Imn), k be 90/M, and h be 360/N, and make Hkh (x, y) a new feature template, the size of the new template is 30 × 60, as shown below:
s3, the noise elimination module carries out interference elimination processing on the preprocessed image, the image is expanded, and the formula of the image expansion is as follows:
if B (Y) is intersected with E and is not null, recording the Y point, wherein a set Y formed by all the Y points is called as a result of expansion of E by B, and designing the structural element B into a single unit matrix with the size being 1.5 times that of a characteristic extraction operator to achieve the denoising purpose;
s4, extracting the feature template as a binary feature, performing matching operation by using a Hamming distance formula, and taking the Hamming distance as an index for distinguishing iris internal categories, wherein the Hamming distance formula is as follows:
amask and Bmask are respectively noise templates of the test image and the registration image, the noise area is set to be 0 during calculation, the effective area is set to be 1, and Ai and Bi are respectively a feature vector of the iris to be recognized and a feature vector of the iris in the registration set.
8. A fire-fighting access control management method based on the Internet is characterized by comprising the following steps:
a. firstly, identifying a human body, detecting the indoor gas concentration in real time, sensing the concentration of indoor particle smoke and sensing the indoor temperature in real time through a monitoring unit;
b. secondly, positioning the data of the geographic position of the fire by an alarm unit, automatically identifying and positioning the security geographic position, preferentially selecting the nearest security point away from the fire place, acquiring the information of the fire place and integrating the information of the security place acquired by a security place acquisition module to form a single data packet, and acquiring the communication information of the security place to perform emergency calling;
c. the power supply monitoring module is used for monitoring a parallel circuit between the standby power supply module and the main power supply module in real time, if the power supply between the main power supply module and the entrance guard main control panel is cut off, a power switch instruction for starting the standby power supply module is automatically identified, and if the power supply between the main power supply module and the entrance guard main control panel is cut off, a power switch instruction for closing the standby power supply module is automatically identified;
d. secondly, the switch driving module acquires a switch opening and closing instruction of the standby power supply module and automatically controls the opening and closing of the switch of the standby power supply module;
e. when the identity needs to be verified through the access control system, the identity is verified in a face recognition mode, a fingerprint recognition mode, a secret key recognition mode or an iris recognition mode.
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