CN112235539A - Security monitoring system, monitoring method and medium based on Internet of things - Google Patents
Security monitoring system, monitoring method and medium based on Internet of things Download PDFInfo
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- CN112235539A CN112235539A CN202011080795.3A CN202011080795A CN112235539A CN 112235539 A CN112235539 A CN 112235539A CN 202011080795 A CN202011080795 A CN 202011080795A CN 112235539 A CN112235539 A CN 112235539A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000012544 monitoring process Methods 0.000 title claims abstract description 36
- 238000004364 calculation method Methods 0.000 claims abstract description 102
- 239000000779 smoke Substances 0.000 claims abstract description 38
- 230000005540 biological transmission Effects 0.000 claims description 66
- 230000008859 change Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 11
- 230000002265 prevention Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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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
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
Abstract
The invention discloses a security monitoring system, a security monitoring method and a security monitoring medium based on the Internet of things, relates to the field of security systems, and solves the problems that a smoke alarm fails and generates huge loss. The control calculation module of the invention primarily judges the fire degree; the control calculation module presets a fire image standard library, captures the frequency characteristic of the image captured by the camera and compares the frequency characteristic with the fire image standard library to find the closest fire image; and the control calculation module is used for alarming and calculating the fire degree in real time through a feedback result of secondary fire degree judgment on the basis of a result of primary fire degree judgment and outputting an alarm signal. The invention adopts a twice fire judgment method, can accurately identify the fire and alarm, eliminates the influence of surrounding interferents, and simultaneously avoids the result of judgment error caused by the condition of the device influenced by the fire; the invention saves manpower and material resources.
Description
Technical Field
The invention relates to a security system, in particular to a security monitoring system, a security monitoring method and a security monitoring medium based on the Internet of things.
Background
The security is a foundation for the survival and development of society and enterprises, especially in the modern technology advanced development, crimes are more intelligent, means are more hidden, and the enhancement of the modern security technology is more important. The security technology is developed in this sense, and is a product of the combination of high-tech technologies such as electronic technology, sensor technology, computer technology, and modern communication technology. The method plays a role in preventing and fighting crimes, maintaining social security, preventing disaster accidents, reducing the lives of the nation, collective property and people and the like, and plays a role in that common prevention means are difficult or impossible to play. The safety precaution technical system and the products are sharp weapons for preventing and fighting crimes and preventing disaster accidents, are important contents for social security comprehensive treatment, and can gradually give way to the era of security of locks.
The security protection technology is utilized to carry out security protection, and firstly, the security protection technology has a deterrent effect on criminals, so that the criminals are dare not to crime easily. For example, the security system can find out the crime time and place of criminals in time, so that the criminals are dare not to use the security system easily, and the security system is quite effective in preventing crimes. Secondly, once criminal activities such as invasion and robbery occur, the safety technology prevention system can timely discover and alarm, and the television monitoring system can automatically record crime scenes and the criminal process so as to solve cases in time and save a large amount of manpower and material resources. After the multifunctional and multi-level security monitoring system is installed in an important department and a vital department, the working intensity of patrol operators on duty is greatly reduced, the efficiency is improved, and the expenditure is reduced.
For fire prevention, sometimes the fire point is a circuit, which causes the smoke alarm to fail and generates huge loss.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the invention provides a security monitoring system, a security monitoring method and a security monitoring medium based on the Internet of things, which solve the problems.
The invention is realized by the following technical scheme:
a monitoring method based on the Internet of things comprises the following steps:
the camera captures an image and transmits the image to the control calculation module, and the control calculation module judges the fire degree for the first time;
the control calculation module presets a fire image standard library which comprises a plurality of fire images with multiple scenes and multiple intensities, and captures the frequency characteristic of the image captured by the camera and compares the frequency characteristic with the fire image standard library to find the closest fire image;
the control calculation module reversely searches for a proximity device of the camera, wherein the proximity device comprises a smoke sensor and a temperature sensor;
the control calculation module is used for actively calling real-time data of the smoke sensor and the temperature sensor, calculating respective numerical fluctuation curves according to the smoke sensor and the temperature sensor, intercepting the numerical fluctuation curves in the simultaneous period of the image of the camera and secondarily judging the fire degree;
and the control calculation module is used for alarming and calculating the fire degree in real time through a feedback result of secondary fire degree judgment on the basis of a result of primary fire degree judgment and outputting an alarm signal.
Furthermore, the fire images have fire scores in a fire image standard library, a plurality of fire images are marked with the fire scores in advance, the fire scores are used for representing the intensity of the fire, the control calculation module is matched with the fire scores corresponding to the images captured by the camera, the signal state of the camera is monitored in real time, and the control calculation module is also used for monitoring the change condition of the images captured by the camera in real time and matched with the fire scores.
Furthermore, the control calculation module performs multi-frame interception on the video resource of the camera in one data transmission period to obtain multi-frame data images, and the control calculation module captures frequency characteristics of the data images and performs comparison operation.
Further, the method also comprises the following specific comparison operations:
the control calculation module sequentially carries out frequency synthesis on the frequency characteristics of the data images and the frequency characteristics of all fire images in a fire image standard library, the frequency characteristics are two-dimensional array data, and the two-dimensional array data are two-dimensional array data for converting the fire images into frequency domains by performing discrete Fourier transform;
the control calculation module acquires a cross-power spectrum synthesized by frequency and calculates the absolute value of a first-order partial differential numerical value of a single period in the synthesized frequency;
and the control calculation module obtains a plurality of groups of absolute values of first-order partial differential numerical values, wherein the fire image in the smallest group is the fire image closest to the image captured by the camera.
Further, the method also comprises the following specific comparison operations:
the control calculation module records data of the proximity device for multiple times in a data transmission period of the proximity device;
the data transmission period of the adjacent device is the time interval of the adjacent device transmitting two adjacent data to the control calculation module;
the control calculation module actively calls data of the adjacent device and comprises data recorded in a plurality of data transmission cycles of the adjacent device, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded in the data transmission cycle of the adjacent device in the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the adjacent device in the time period, and the comparison result is output as a secondary judgment fire degree.
Further, the method also comprises the following specific comparison operations:
the control calculation module records the data of the smoke sensor for multiple times in the data transmission period of the smoke sensor;
the data transmission period of the smoke sensor is the time interval of transmitting two adjacent data to the control calculation module by the smoke sensor;
the control calculation module actively calls data of the smoke sensor and comprises data recorded in a plurality of data transmission cycles of the smoke sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the smoke sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the smoke sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
Further, the method also comprises the following specific comparison operations:
the control calculation module records data of the temperature sensor for multiple times in a data transmission period of the temperature sensor;
the data transmission period of the temperature sensor is the time interval of transmitting the adjacent two times of data to the control calculation module by the temperature sensor;
the control calculation module actively calls data of the temperature sensor and comprises data recorded in a plurality of data transmission cycles of the temperature sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the temperature sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the temperature sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
A security monitoring system based on the Internet of things is arranged in a building and comprises a plurality of cameras which are communicated through a local area network, a smoke sensor, a temperature sensor and a control calculation module;
the system implements and applies the monitoring method.
Further, the system also comprises a power supply module, and the power supply module supplies power to the system.
Further, a computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method. The specific use of the method relies on a large number of calculations and it is therefore preferred that the above calculation is performed by a computer program, so any computer program and its storage medium containing the steps protected in the method also fall within the scope of the present application.
The invention has the following advantages and beneficial effects:
the invention adopts a twice fire judgment method, can accurately identify the fire and alarm, eliminates the influence of surrounding interferents, and simultaneously avoids the result of judgment error caused by the condition of the device influenced by the fire;
the invention saves manpower and material resources.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a front view of the present invention.
Detailed Description
Before any embodiments of the invention are explained in detail, it is to be understood that the invention is not limited in its application to the details of construction and the arrangements of components set forth in the following description or illustrated in the drawings. The invention is capable of other embodiments and of being practiced or of being carried out in various ways. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any inventive changes, are within the scope of the present invention.
A monitoring method based on the internet of things, as shown in fig. 1, includes the following steps:
the camera captures an image and transmits the image to the control calculation module, and the control calculation module judges the fire degree for the first time;
the control calculation module presets a fire image standard library which comprises a plurality of fire images with multiple scenes and multiple intensities, and captures the frequency characteristic of the image captured by the camera and compares the frequency characteristic with the fire image standard library to find the closest fire image;
the control calculation module reversely searches for a proximity device of the camera, wherein the proximity device comprises a smoke sensor and a temperature sensor;
the control calculation module is used for actively calling real-time data of the smoke sensor and the temperature sensor, calculating respective numerical fluctuation curves according to the smoke sensor and the temperature sensor, intercepting the numerical fluctuation curves in the simultaneous period of the image of the camera and secondarily judging the fire degree;
and the control calculation module is used for alarming and calculating the fire degree in real time through a feedback result of secondary fire degree judgment on the basis of a result of primary fire degree judgment and outputting an alarm signal.
Furthermore, the fire images have fire scores in a fire image standard library, a plurality of fire images are marked with the fire scores in advance, the fire scores are used for representing the intensity of the fire, the control calculation module is matched with the fire scores corresponding to the images captured by the camera, the signal state of the camera is monitored in real time, and the control calculation module is also used for monitoring the change condition of the images captured by the camera in real time and matched with the fire scores.
Furthermore, the control calculation module performs multi-frame interception on the video resource of the camera in one data transmission period to obtain multi-frame data images, and the control calculation module captures frequency characteristics of the data images and performs comparison operation.
Further, the method also comprises the following specific comparison operations:
the control calculation module sequentially carries out frequency synthesis on the frequency characteristics of the data images and the frequency characteristics of all fire images in a fire image standard library, the frequency characteristics are two-dimensional array data, and the two-dimensional array data are two-dimensional array data for converting the fire images into frequency domains by performing discrete Fourier transform;
the control calculation module acquires a cross-power spectrum synthesized by frequency and calculates the absolute value of a first-order partial differential numerical value of a single period in the synthesized frequency;
and the control calculation module obtains a plurality of groups of absolute values of first-order partial differential numerical values, wherein the fire image in the smallest group is the fire image closest to the image captured by the camera.
Further, the method also comprises the following specific comparison operations:
the control calculation module records data of the proximity device for multiple times in a data transmission period of the proximity device;
the data transmission period of the adjacent device is the time interval of the adjacent device transmitting two adjacent data to the control calculation module;
the control calculation module actively calls data of the adjacent device and comprises data recorded in a plurality of data transmission cycles of the adjacent device, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded in the data transmission cycle of the adjacent device in the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the adjacent device in the time period, and the comparison result is output as a secondary judgment fire degree.
Further, the method also comprises the following specific comparison operations:
the control calculation module records the data of the smoke sensor for multiple times in the data transmission period of the smoke sensor;
the data transmission period of the smoke sensor is the time interval of transmitting two adjacent data to the control calculation module by the smoke sensor;
the control calculation module actively calls data of the smoke sensor and comprises data recorded in a plurality of data transmission cycles of the smoke sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the smoke sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the smoke sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
Further, the method also comprises the following specific comparison operations:
the control calculation module records data of the temperature sensor for multiple times in a data transmission period of the temperature sensor;
the data transmission period of the temperature sensor is the time interval of transmitting the adjacent two times of data to the control calculation module by the temperature sensor;
the control calculation module actively calls data of the temperature sensor and comprises data recorded in a plurality of data transmission cycles of the temperature sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the temperature sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the temperature sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
A security monitoring system based on the Internet of things is arranged in a building and comprises a plurality of cameras which are communicated through a local area network, a smoke sensor, a temperature sensor and a control calculation module;
the system implements and applies the monitoring method.
Further, the system also comprises a power supply module, and the power supply module supplies power to the system.
Further, a computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method. The specific use of the method relies on a large number of calculations and it is therefore preferred that the above calculation is performed by a computer program, so any computer program and its storage medium containing the steps protected in the method also fall within the scope of the present application.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A monitoring method based on the Internet of things is characterized by comprising the following steps:
the camera captures an image and transmits the image to the control calculation module, and the control calculation module judges the fire degree for the first time;
the control calculation module presets a fire image standard library which comprises a plurality of fire images with multiple scenes and multiple intensities, and captures the frequency characteristic of the image captured by the camera and compares the frequency characteristic with the fire image standard library to find the closest fire image;
the control calculation module reversely searches for a proximity device of the camera, wherein the proximity device comprises a smoke sensor and a temperature sensor;
the control calculation module is used for actively calling real-time data of the smoke sensor and the temperature sensor, calculating respective numerical fluctuation curves according to the smoke sensor and the temperature sensor, intercepting the numerical fluctuation curves in the simultaneous period of the image of the camera and secondarily judging the fire degree;
and the control calculation module is used for alarming and calculating the fire degree in real time through a feedback result of secondary fire degree judgment on the basis of a result of primary fire degree judgment and outputting an alarm signal.
2. The monitoring method based on the internet of things as claimed in claim 1, wherein the fire images have fire scores in a fire image standard library, a plurality of fire images are marked with the fire scores in advance, the fire scores are used for representing the intensity of a fire, the control and calculation module is used for matching the fire scores corresponding to the images captured by the camera, monitoring the signal state of the camera in real time, and monitoring the change of the images captured by the camera in real time in matching with the fire scores.
3. The monitoring method based on the internet of things as claimed in claim 2, wherein the control calculation module performs multi-frame interception on the video resource of the camera in one data transmission period to obtain multi-frame data images, and the control calculation module captures frequency characteristics of the data images and performs comparison operation.
4. The monitoring method based on the internet of things as claimed in claim 3, further comprising the following specific comparison operations:
the control calculation module sequentially carries out frequency synthesis on the frequency characteristics of the data images and the frequency characteristics of all fire images in a fire image standard library, the frequency characteristics are two-dimensional array data, and the two-dimensional array data are two-dimensional array data for converting the fire images into frequency domains by performing discrete Fourier transform;
the control calculation module acquires a cross-power spectrum synthesized by frequency and calculates the absolute value of a first-order partial differential numerical value of a single period in the synthesized frequency;
and the control calculation module obtains a plurality of groups of absolute values of first-order partial differential numerical values, wherein the fire image in the smallest group is the fire image closest to the image captured by the camera.
5. The monitoring method based on the internet of things as claimed in claim 4, further comprising the following specific comparison operations:
the control calculation module records data of the proximity device for multiple times in a data transmission period of the proximity device;
the data transmission period of the adjacent device is the time interval of the adjacent device transmitting two adjacent data to the control calculation module;
the control calculation module actively calls data of the adjacent device and comprises data recorded in a plurality of data transmission cycles of the adjacent device, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded in the data transmission cycle of the adjacent device in the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the adjacent device in the time period, and the comparison result is output as a secondary judgment fire degree.
6. The monitoring method based on the internet of things as claimed in claim 5, further comprising the following specific comparison operations:
the control calculation module records the data of the smoke sensor for multiple times in the data transmission period of the smoke sensor;
the data transmission period of the smoke sensor is the time interval of transmitting two adjacent data to the control calculation module by the smoke sensor;
the control calculation module actively calls data of the smoke sensor and comprises data recorded in a plurality of data transmission cycles of the smoke sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the smoke sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the smoke sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
7. The monitoring method based on the internet of things as claimed in claim 5, further comprising the following specific comparison operations:
the control calculation module records data of the temperature sensor for multiple times in a data transmission period of the temperature sensor;
the data transmission period of the temperature sensor is the time interval of transmitting the adjacent two times of data to the control calculation module by the temperature sensor;
the control calculation module actively calls data of the temperature sensor and comprises data recorded in a plurality of data transmission cycles of the temperature sensor, the control calculation module analyzes a data transmission time period corresponding to a time point at which the camera acquires an image, the control calculation module compares the data transmission time period with data recorded by the temperature sensor in a data transmission cycle adjacent to the data transmission time period, the control calculation module obtains a comparison result, the comparison result displays the data change degree of the temperature sensor in the time period, and the comparison result is output as a secondary judgment fire degree.
8. A security monitoring system based on the Internet of things is characterized in that the security monitoring system is arranged in a building, comprises a plurality of cameras which are communicated through a local area network, and further comprises a smoke sensor, a temperature sensor and a control calculation module;
the system realizes and applies the monitoring method based on the internet of things as claimed in any one of claims 1 to 7.
9. The internet of things-based security monitoring system according to claim 8, further comprising a power module, wherein the power module supplies power to the system.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Cited By (1)
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| CN114354459A (en) * | 2021-12-17 | 2022-04-15 | 华帝股份有限公司 | Fault detection method and system of photoelectric smoke sensor |
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| 刘占: "深度学习技术在火灾图像识别中的应用", 《福建电脑》 * |
| 杨霜雪等: "基于视频图像处理的火灾检测专利申请分析", 《科技展望》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114354459A (en) * | 2021-12-17 | 2022-04-15 | 华帝股份有限公司 | Fault detection method and system of photoelectric smoke sensor |
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| CN112235539B (en) | 2023-04-21 |
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