Park intelligent security and protection monitoring method based on Internet of Things

Abstract

The invention belongs to the field of security and protection monitoring, particularly relates to a park intelligent security and protection monitoring method based on the Internet of Things, and provides the following scheme aiming at the existing problems that the monitoring image quality is inconvenient to monitor, standby monitoring cannot be started in time when a monitoring problem occurs, and the security is low, the method comprises the following steps: S1, building a monitoring system, the monitoring system comprises a monitoring module, a positioning module, a marking module, a network transmission module, a data analysis module, an abnormity alarm module, a data storage module, an abnormity display module, an abnormity tracking module, a real-time display module, a safety verification module, an equipment connection module, an abnormity connection module, an automatic cut-off module, a picture extraction module and a parameter extraction module. According to the system, the monitoring image quality can be analyzed and judged, when the image quality is lower than the setting requirement, standby monitoring can be started in time, and the safety is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of security monitoring, and in particular to an intelligent security monitoring method for a park based on the Internet of Things. Background Art

[0002] The security monitoring system uses optical fiber, coaxial cable or microwave to transmit video signals in a closed loop, and constitutes an independent and complete system from camera to image display and recording. It can reflect the monitored object in real time, vividly and truthfully, and can replace manual long-term monitoring in harsh environments and record it through a video recorder. Video security monitoring system video surveillance & control system (VSCS) refers to an electronic system or network that uses video detection technology to monitor the defense area and display and record the scene image in real time;

[0003] In the existing technology, it is not convenient to monitor the monitoring image quality, and when problems occur in the monitoring, the backup monitoring cannot be enabled in time, and the security is low. Therefore, we propose an intelligent campus security monitoring method based on the Internet of Things to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art, such as it is inconvenient to monitor the monitoring image quality, it is impossible to enable backup monitoring in time when monitoring problems occur, and the security is low, and to propose an intelligent security monitoring method for a campus based on the Internet of Things.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A campus intelligent security monitoring method based on the Internet of Things comprises the following steps:

[0007] S1. Build a monitoring system, which includes a monitoring module, a positioning module, a marking module, a network transmission module, a data analysis module, an abnormal alarm module, a data storage module, an abnormal display module, an abnormal tracking module, a real-time display module, a safety verification module, a device connection module, an abnormal connection module, an automatic disconnection module, a picture extraction module, a parameter extraction module, a parameter comparison module, a judgment module, a standby monitoring module and a parameter setting module; the monitoring module is connected to the positioning module, the positioning module is connected to the marking module, the marking module is connected to the network transmission module, the network transmission module is connected to the data analysis module, the data analysis module is connected to the abnormal alarm module, the abnormal alarm module is connected to the abnormal display module, the abnormal tracking module and the data storage module, the abnormal tracking module is connected to the real-time display module, the safety verification module is connected to the device connection module, the device connection module is connected to the abnormal connection module and the monitoring module, the abnormal connection module is connected to the automatic disconnection module, the monitoring module is connected to the picture extraction module, the picture extraction module is connected to the parameter extraction module, the parameter extraction module is connected to the judgment module, and the judgment module is connected to the standby monitoring module;

[0008] S2, monitor the park through the monitoring module, locate the monitoring position through the positioning module, mark the monitoring position through the marking module, and then transmit the monitoring picture to the data analysis module through the network transmission module. The data analysis module analyzes the monitoring picture to determine whether there is an abnormal situation. If there is an abnormal situation, an alarm is issued through the abnormal alarm module;

[0009] S3, extracting the monitoring screen of the monitoring module through the screen extraction module, then extracting the parameters of the extracted monitoring screen through the parameter extraction module, transmitting the parameter data to the parameter comparison module, the parameter comparison module compares the received extraction parameters with the preset parameters, and transmits the comparison parameters to the judgment module;

[0010] S4. Determine whether the monitoring image quality is lower than the preset requirement through the judgment module. If it is lower than the preset requirement, enable the backup monitoring through the backup monitoring module.

[0011] Preferably, the data storage module is used to store abnormal alarm data, the abnormal display module is used to display abnormal pictures, the abnormal tracking module is used to continuously track the abnormal pictures, and the real-time display module is used to display the tracking pictures in real time.

[0012] Preferably, the security verification module is used to perform security verification on the device connected to the monitoring module. After the security verification, the connected device is recorded and stored through the device connection module. At the same time, the device information connected to the monitoring module is extracted and compared with the stored device. The device not stored in the device connection module is an abnormal device.

[0013] Preferably, the abnormal connection module is used to perform abnormal warning, and after the abnormal warning, the abnormal connection device is automatically switched through the automatic disconnection module.

[0014] Preferably, the device connection module comprises a device identification unit, the device identification unit is connected to a device storage unit, the device storage unit is connected to a device extraction unit, and the device extraction unit is connected to a device matching unit.

[0015] Preferably, the data storage module includes a data identification unit, the data identification unit is connected to a data classification unit, the data classification unit is connected to a data storage unit, and the data storage unit is connected to a data extraction unit.

[0016] Preferably, the parameter extraction module comprises a resolution extraction unit, the resolution extraction unit is connected to a bit rate extraction unit, the bit rate extraction unit is connected to a frame rate extraction unit, and the frame rate extraction unit is connected to an output unit.

[0017] Preferably, the parameter setting module comprises an identity authentication unit, the identity authentication unit is connected to the parameter setting unit, the parameter setting unit is connected to the confirmation unit, and the confirmation unit is connected to the update unit.

[0018] Preferably, the device identification unit is used to identify the connected device, the device storage unit is used to store the device information, the device extraction unit is used to extract the device information connected to the monitoring module, and the device matching unit is used to match the extracted device information with the device information stored after security verification to see whether the same device information can be matched.

[0019] Preferably, the data identification unit is used to identify data, the data classification unit is used to classify the identified data, the data storage unit is used to store the classified data, and the data extraction unit is used for the management personnel to extract the stored data.

[0020] In the present invention, the beneficial effects of the park intelligent security monitoring method based on the Internet of Things are:

[0021] The park is monitored through the monitoring module, the monitoring position is located through the positioning module, the monitoring position is marked through the marking module, and then the monitoring picture is transmitted to the data analysis module through the network transmission module. The data analysis module analyzes the monitoring picture to determine whether there is any abnormality. If there is any abnormality, an alarm is issued through the abnormal alarm module;

[0022] The monitoring screen of the monitoring module is extracted by the screen extraction module, and then the parameters of the extracted monitoring screen are extracted by the parameter extraction module, and the parameter data is transmitted to the parameter comparison module. The parameter comparison module compares the received extraction parameters with the preset parameters, and the comparison parameters are transmitted to the judgment module. The judgment module judges whether the monitoring image quality is lower than the preset requirements. If it is lower than the preset requirements, the backup monitoring is enabled through the backup monitoring module;

[0023] The present invention can analyze and judge the monitoring image quality, and when the image quality is lower than the setting requirement, the backup monitoring can be enabled in time to improve safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A block diagram of a monitoring system for a campus intelligent security monitoring method based on the Internet of Things proposed by the present invention;

[0025] Figure 2 A block diagram of a device connection module of a campus intelligent security monitoring method based on the Internet of Things proposed by the present invention;

[0026] Figure 3 A block diagram of a data storage module of a campus intelligent security monitoring method based on the Internet of Things proposed by the present invention;

[0027] Figure 4 A block diagram of a parameter extraction module of a campus intelligent security monitoring method based on the Internet of Things proposed by the present invention;

[0028] Figure 5 The present invention provides a block diagram of a parameter setting module for a campus intelligent security monitoring method based on the Internet of Things. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0030] Embodiment 1

[0031] Reference Figure 1-Figure 5 , a campus intelligent security monitoring method based on the Internet of Things, comprising the following steps:

[0032] S1. Build a monitoring system, which includes a monitoring module, a positioning module, a marking module, a network transmission module, a data analysis module, an abnormal alarm module, a data storage module, an abnormal display module, an abnormal tracking module, a real-time display module, a safety verification module, a device connection module, an abnormal connection module, an automatic disconnection module, a picture extraction module, a parameter extraction module, a parameter comparison module, a judgment module, a standby monitoring module and a parameter setting module; the monitoring module is connected to the positioning module, the positioning module is connected to the marking module, the marking module is connected to the network transmission module, the network transmission module is connected to the data analysis module, the data analysis module is connected to the abnormal alarm module, the abnormal alarm module is connected to the abnormal display module, the abnormal tracking module and the data storage module, the abnormal tracking module is connected to the real-time display module, the safety verification module is connected to the device connection module, the device connection module is connected to the abnormal connection module and the monitoring module, the abnormal connection module is connected to the automatic disconnection module, the monitoring module is connected to the picture extraction module, the picture extraction module is connected to the parameter extraction module, the parameter extraction module is connected to the judgment module, and the judgment module is connected to the standby monitoring module;

[0033] S2, monitor the park through the monitoring module, locate the monitoring position through the positioning module, mark the monitoring position through the marking module, and then transmit the monitoring picture to the data analysis module through the network transmission module. The data analysis module analyzes the monitoring picture to determine whether there is an abnormal situation. If there is an abnormal situation, an alarm is issued through the abnormal alarm module;

[0034] S3, extracting the monitoring screen of the monitoring module through the screen extraction module, then extracting the parameters of the extracted monitoring screen through the parameter extraction module, transmitting the parameter data to the parameter comparison module, the parameter comparison module compares the received extraction parameters with the preset parameters, and transmits the comparison parameters to the judgment module;

[0035] S4. Determine whether the monitoring image quality is lower than the preset requirement through the judgment module. If it is lower than the preset requirement, enable the backup monitoring through the backup monitoring module.

[0036] In this embodiment, the data storage module is used to store abnormal alarm data, the abnormal display module is used to display abnormal pictures, the abnormal tracking module is used to continuously track abnormal pictures, and the real-time display module is used to display the tracking pictures in real time.

[0037] In this embodiment, the security verification module is used to perform security verification on the device connected to the monitoring module. After the security verification, the connected device is recorded and stored through the device connection module. At the same time, the device information connected to the monitoring module is extracted and compared with the stored device. The device not stored in the device connection module is an abnormal device.

[0038] In this embodiment, the abnormal connection module is used to perform abnormal warning. After the abnormal warning, the abnormal connection device is automatically switched through the automatic disconnection module.

[0039] In this embodiment, the device connection module includes a device identification unit, the device identification unit is connected to the device storage unit, the device storage unit is connected to the device extraction unit, and the device extraction unit is connected to the device matching unit.

[0040] In this embodiment, the data storage module includes a data identification unit, the data identification unit is connected to the data classification unit, the data classification unit is connected to the data storage unit, and the data storage unit is connected to the data extraction unit.

[0041] In this embodiment, the parameter extraction module includes a resolution extraction unit, the resolution extraction unit is connected to the bit rate extraction unit, the bit rate extraction unit is connected to the frame rate extraction unit, and the frame rate extraction unit is connected to the output unit.

[0042] In this embodiment, the parameter setting module includes an identity authentication unit, the identity authentication unit is connected to the parameter setting unit, the parameter setting unit is connected to the confirmation unit, and the confirmation unit is connected to the update unit.

[0043] In this embodiment, the device identification unit is used to identify the connected device, the device storage unit is used to store the device information, the device extraction unit is used to extract the device information connected to the monitoring module, and the device matching unit is used to match the extracted device information with the device information stored after security verification to see whether the same device information can be matched.

[0044] In this embodiment, the data identification unit is used to identify data, the data classification unit is used to classify the identified data, the data storage unit is used to store the classified data, and the data extraction unit is used for the management personnel to extract the stored data.

[0045] Embodiment 2

[0046] The difference between this embodiment and the first embodiment is that: a monitoring system is set up, and the monitoring system includes a monitoring module, a positioning module, a marking module, a network transmission module, a data analysis module, an abnormal alarm module, a data storage module, an abnormal display module, an abnormal tracking module, a real-time display module, a safety verification module, a device connection module, an abnormal connection module, an automatic disconnection module, a picture extraction module, a parameter extraction module, a parameter comparison module, a judgment module, an abnormal device information extraction module, a standby monitoring module and a parameter setting module; the monitoring module is connected to the positioning module, the positioning module is connected to the marking module, the marking module is connected to the network transmission module, the network transmission module is connected to the data analysis module, and the data analysis module is connected to the data analysis module. The module is connected to the abnormal alarm module, the abnormal alarm module is connected to the abnormal display module, the abnormal tracking module and the data storage module, the abnormal tracking module is connected to the real-time display module, the safety verification module is connected to the equipment connection module, the equipment connection module is connected to the abnormal connection module and the monitoring module, the abnormal connection module is connected to the automatic cut-off module, the monitoring module is connected to the picture extraction module, the picture extraction module is connected to the parameter extraction module, the parameter extraction module is connected to the judgment module, the judgment module is connected to the standby monitoring module, the abnormal connection module is connected to the abnormal equipment information extraction module, and the abnormal equipment information is extracted and saved through the abnormal equipment information extraction module to facilitate subsequent management personnel to view.

[0047] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A park intelligent security monitoring method based on the Internet of Things, characterized in that: The following steps are involved: S1. Build a monitoring system, which includes a monitoring module, a positioning module, a marking module, a network transmission module, a data analysis module, an abnormal alarm module, a data storage module, an abnormal display module, an abnormal tracking module, a real-time display module, a safety verification module, a device connection module, an abnormal connection module, an automatic disconnection module, a picture extraction module, a parameter extraction module, a parameter comparison module, a judgment module, a standby monitoring module and a parameter setting module; the monitoring module is connected to the positioning module, the positioning module is connected to the marking module, the marking module is connected to the network transmission module, the network transmission module is connected to the data analysis module, the data analysis module is connected to the abnormal alarm module, the abnormal alarm module is connected to the abnormal display module, the abnormal tracking module and the data storage module, the abnormal tracking module is connected to the real-time display module, the safety verification module is connected to the device connection module, the device connection module is connected to the abnormal connection module and the monitoring module, the abnormal connection module is connected to the automatic disconnection module, the monitoring module is connected to the picture extraction module, the picture extraction module is connected to the parameter extraction module, the parameter extraction module is connected to the judgment module, and the judgment module is connected to the standby monitoring module; S2, monitor the park through the monitoring module, locate the monitoring position through the positioning module, mark the monitoring position through the marking module, and then transmit the monitoring picture to the data analysis module through the network transmission module. The data analysis module analyzes the monitoring picture to determine whether there is an abnormal situation. If there is an abnormal situation, an alarm is issued through the abnormal alarm module; S3, extracting the monitoring screen of the monitoring module through the screen extraction module, then extracting the parameters of the extracted monitoring screen through the parameter extraction module, transmitting the parameter data to the parameter comparison module, the parameter comparison module compares the received extraction parameters with the preset parameters, and transmits the comparison parameters to the judgment module; S4. Determine whether the monitoring image quality is lower than the preset requirement through the judgment module. If it is lower than the preset requirement, enable the backup monitoring through the backup monitoring module.

2. According to the method of claim 1, the method is characterized in that: The data storage module is used to store abnormal alarm data, the abnormal display module is used to display abnormal pictures, the abnormal tracking module is used to continuously track abnormal pictures, and the real-time display module is used to display the tracking pictures in real time.

3. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 2 is characterized in that: The security verification module is used to perform security verification on the device connected to the monitoring module. After the security verification, the connected device is recorded and stored through the device connection module. At the same time, the device information connected to the monitoring module is extracted and compared with the stored device. The device not stored in the device connection module is an abnormal device.

4. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 3 is characterized in that: The abnormal connection module shown is used for abnormal warning. After the abnormal warning, the abnormal connection device is automatically switched through the automatic cut-off module.

5. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 4 is characterized in that: The device connection module comprises a device identification unit, the device identification unit is connected to a device storage unit, the device storage unit is connected to a device extraction unit, and the device extraction unit is connected to a device matching unit.

6. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 5 is characterized in that: The data storage module comprises a data identification unit, the data identification unit is connected to a data classification unit, the data classification unit is connected to a data storage unit, and the data storage unit is connected to a data extraction unit.

7. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 6 is characterized in that: The parameter extraction module comprises a resolution extraction unit, the resolution extraction unit is connected to a bit rate extraction unit, the bit rate extraction unit is connected to a frame rate extraction unit, and the frame rate extraction unit is connected to an output unit.

8. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 7 is characterized in that: The parameter setting module comprises an identity authentication unit, the identity authentication unit is connected to the parameter setting unit, the parameter setting unit is connected to the confirmation unit, and the confirmation unit is connected to the update unit.

9. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 8, characterized in that: The device identification unit is used to identify the connected device, the device storage unit is used to store device information, the device extraction unit is used to extract the device information connected to the monitoring module, and the device matching unit is used to match the extracted device information with the device information stored after security verification to see whether the same device information can be matched.

10. The method for intelligent security monitoring in a park based on the Internet of Things according to claim 9, characterized in that: The data identification unit is used to identify data, the data classification unit is used to classify the identified data, the data storage unit is used to store the classified data, and the data extraction unit is used for the management personnel to extract the stored data.

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