Video security and protection monitoring equipment based on Internet of Things

Abstract

The invention relates to the technical field of security and protection monitoring equipment, in particular to video security and protection monitoring equipment based on the Internet of Things, and the equipment comprises a video collection module which is used for collecting video data of different regions in a hotel; the signal processing module is connected with the video acquisition module and comprises a signal conversion unit for converting the video data into video signals; the communication module is connected with the signal processing module and is used for transmitting the optimized monitoring signal to a user side through the Internet of Things; the frequency adjusting module is used for determining a dynamic frequency hopping interval of the monitoring equipment according to the packet error rate of the video data; the coding adjustment module is used for determining a modulation coding mode according to the transmission failure rate of the optimized monitoring signal; and the path adjustment module is used for determining the interference path suppression duration according to the deviation value between the actual coverage radius of the video signal and the target radius. According to the invention, the operation stability of the security and protection monitoring equipment is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of security monitoring equipment, and particularly relates to a video security monitoring equipment based on Internet of Things. BACKGROUND

[0002] Hotels are public places with high personnel density and strong mobility, and the security management thereof is directly related to the safety of guests, property and operation order, so that high requirements are put forward for the real-time performance, reliability and coverage range of the video security monitoring equipment. With the development of Internet of Things technology, the traditional monitoring equipment relying on wired transmission or single function has been gradually replaced by intelligent monitoring systems based on Internet of Things, but still faces many technical challenges in practical application.

[0003] Chinese Patent Publication No. CN117082215A discloses a video security monitoring equipment based on Internet of Things big data, which comprises a stand (1), characterized in that it further comprises a vibration table (2) and a transmission module, the surface of the stand (1) is hingedly connected with an angle-adjustable monitoring frame (4) through an angle limiting piece, the top surface of the monitoring frame (4) is provided with a camera body (5), the inner wall of the monitoring frame (4) is rotatably connected with a fixed shaft (6), the inner wall of the fixed shaft (6) is rotatably connected with a wind shaft (7), the fixed shaft (6) and the wind shaft (7) are driven by the transmission module, the peripheral surface of the fixed shaft (6) is drivingly and slidingly connected with a vibration shaft (8), the peripheral surface of the vibration shaft (8) is rotatably connected with the vibration table (2), the surface of the monitoring frame (4) is provided with a reciprocating vibration module driven by the fixed shaft (6), the vibration table (2) is driven by the reciprocating vibration module and reciprocates, the peripheral surface of the vibration shaft (8) is fixedly provided with a group of monitoring assemblies distributed in a circumferential array, the peripheral surface of the wind shaft (7) is provided with a blowing assembly, the peripheral surface of the wind shaft (7) is rotatably connected with a driven rotary ring (9), and the surface of the driven rotary ring (9) and the port of the blowing assembly are connected with the monitoring assemblies. As can be seen, the video security monitoring equipment based on Internet of Things big data has the problem that the operation stability of the security monitoring equipment is reduced due to the influence of complex environment, resulting in high video signal transmission error packet rate and data interruption. SUMMARY

[0004] Therefore, the present application provides a video security monitoring equipment based on Internet of Things to overcome the problem that the operation stability of the security monitoring equipment is reduced due to the influence of complex environment, resulting in high video signal transmission error packet rate and data interruption in the prior art.

[0005] To achieve the above-mentioned purpose, the present application provides a video security monitoring equipment based on Internet of Things, which comprises: a video acquisition module, configured to acquire video data of different areas in the hotel; a signal processing module connected with the video acquisition module, comprising a signal conversion unit configured to convert the video data into a video signal, and a modulation and coding unit connected with the signal conversion unit and configured to modulate and encode the video signal to output an optimized monitoring signal; a communication module connected with the signal processing module and configured to transmit the optimized monitoring signal to a user terminal through an Internet of Things; a frequency adjustment module connected with the signal processing module and configured to determine a dynamic frequency hopping interval of the monitoring device according to a packet error rate of the video data; an encoding adjustment module connected with the signal processing module and configured to determine a modulation and coding mode according to a transmission failure rate of the optimized monitoring signal; a path adjustment module connected with the signal processing module and configured to determine an interference path suppression duration according to a deviation between an actual coverage radius and a target radius of the video signal.

[0006] Further, the frequency adjustment module determines that the operation stability of the security monitoring device meets the requirements in response to the packet error rate of the video data being less than or equal to a preset first packet error rate. The frequency adjustment module determines that the operation stability of the security monitoring device does not meet the requirements in response to the packet error rate of the video data being greater than the preset first packet error rate.

[0007] Further, the frequency adjustment module preliminarily determines that the robustness of the video signal propagation does not meet the requirements in response to the packet error rate of the video data being greater than the preset first packet error rate and less than or equal to a preset second packet error rate.

[0008] Further, the frequency adjustment module reduces the dynamic frequency hopping interval of the monitoring device in response to the packet error rate of the video data being greater than the preset second packet error rate. The reduction range of the dynamic frequency hopping interval of the monitoring device is determined by the difference between the packet error rate of the video data and the preset second packet error rate.

[0009] Further, the encoding adjustment module determines that the robustness of the video signal propagation meets the requirements in response to the transmission failure rate of the optimized monitoring signal being less than or equal to a preset first failure rate. The encoding adjustment module determines that the robustness of the video signal propagation does not meet the requirements in response to the transmission failure rate of the optimized monitoring signal being greater than the preset first failure rate.

[0010] Further, the encoding adjustment module switches the modulation and coding mode in response to the transmission failure rate of the optimized monitoring signal being greater than the preset first failure rate and less than or equal to a preset second failure rate.

[0011] Further, the coding adjustment module preliminarily determines that the blind area range of the video signal does not meet the requirement in response to the transmission failure rate of the optimized monitoring signal being greater than the preset second failure rate.

[0012] Further, the modulation and coding mode is switched from high modulation and low coding to low modulation and high coding.

[0013] Further, the path adjustment module determines that the blind area range of the video signal meets the requirement in response to the deviation amount of the actual coverage radius of the video signal from the target radius being less than or equal to the preset deviation amount. The path adjustment module determines that the blind area range of the video signal does not meet the requirement and dynamically adjusts the interference path suppression duration in response to the deviation amount of the actual coverage radius of the video signal from the target radius being greater than the preset deviation amount.

[0014] Further, the interference path suppression duration is dynamically adjusted according to the signal strength of the video signal to determine whether to increase the interference path suppression duration.

[0015] Compared with the prior art, the device has the beneficial effects that the device adjusts the dynamic frequency hopping interval of the monitoring device according to the packet error rate of the video data by arranging a video acquisition module, a signal processing module, a communication module, a frequency adjustment module, a coding adjustment module and a path adjustment module. Since the device adopts a wireless transmission mode, it is interfered by signal frequency band overlap of other wireless devices in the surrounding area, which causes data packet loss or delay increase. By reducing the dynamic frequency hopping interval of the monitoring device, the device can switch between different frequencies more quickly and reduce the residence time on the interfered frequency band, thereby reducing the influence of interference on data packet transmission and reducing data packet loss and delay. The modulation and coding mode is switched according to the transmission failure rate of the optimized monitoring signal. Since the signal strength sharply decreases when the distance between the monitoring device and the receiving end exceeds the effective coverage range of the signal, the data packet cannot be normally demodulated. By switching high modulation and low coding to low modulation and high coding, the reliability of data transmission can be preferentially ensured in the scenario of deteriorated signal quality, the monitoring interruption caused by demodulation failure is avoided, the actual coverage range of the device is expanded to a certain extent, and the robustness of the system is improved. The interference path suppression duration is dynamically adjusted according to the deviation amount of the actual coverage radius of the video signal from the target radius. Since multiple propagation paths are formed when the wireless signal encounters multiple obstacles, there is a phase difference between signals of different paths when the signals arrive at the receiving end, which may cause the signal strength to weaken after superposition of signals of different paths with opposite phases, resulting in a signal blind area in a local area. By dynamically adjusting the interference path suppression duration, the interference of the interference path on useful signals such as direct waves can be effectively reduced, the signal strength is improved, and the operation stability of the security monitoring device is improved.

[0016] Further, the device of the present application adjusts the dynamic frequency hopping interval of the monitoring device by setting the preset first packet loss rate and the preset second packet loss rate. Since the device adopts wireless transmission mode, it is interfered by the signal frequency band overlap of other wireless devices, resulting in increased data packet loss or delay. By reducing the dynamic frequency hopping interval of the monitoring device, it can be switched between different frequencies more quickly, reducing the residence time on the interfered frequency band, thereby reducing the influence of interference on data packet transmission, reducing data packet loss and delay, and further improving the operation stability of the security monitoring device.

[0017] Further, the device of the present application switches the modulation and coding mode by setting the preset first failure rate and the preset second failure rate. When the distance between the monitoring device and the receiving end exceeds the effective signal coverage range, the signal strength will decrease sharply, resulting in failure to normally demodulate data packets. By switching high modulation and low coding to low modulation and high coding, the reliability of data transmission can be ensured in the case of deteriorating signal quality, avoiding monitoring interruption caused by demodulation failure, extending the actual coverage range of the device to a certain extent, improving the robustness of the system, and further improving the operation stability of the security monitoring device.

[0018] Further, the device of the present application dynamically adjusts the interference path suppression time by setting the preset deviation amount. When wireless signals encounter multiple obstacles, multiple propagation paths are formed, and there is a phase difference between signals of different paths when they arrive at the receiving end, which may cause the signal strength to weaken after superposition of signals of different paths with opposite phases, resulting in a signal blind area in a local area. By dynamically adjusting the interference path suppression time, the interference of the interference path to useful signals such as direct waves can be effectively reduced, and the signal strength can be improved, further improving the operation stability of the security monitoring device. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 The overall structure block diagram of the video security monitoring device based on the Internet of Things of the embodiment of the present application is shown in the figure. Figure 2 The logic flow chart of determining the dynamic frequency hopping interval of the monitoring device of the video security monitoring device based on the Internet of Things of the embodiment of the present application is shown in the figure. Figure 3 The logic flow chart of determining the modulation and coding mode of the video security monitoring device based on the Internet of Things of the embodiment of the present application is shown in the figure. Figure 4 The logic flow chart of determining the interference path suppression time of the video security monitoring device based on the Internet of Things of the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0020] In order to make the objects, technical schemes and advantages of the present application clearer, the following further describes the present application with reference to the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0021] The preferred embodiments of the present application are described below with reference to the drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and not to limit the protection scope of the present application.

[0022] It should be noted that, in the description of the present application, the terms indicating the direction or positional relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0023] In addition, it should also be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0024] Please refer to Figure 1 , Figure 2 , Figure 3 and Figure 4 , which are respectively the overall structure block diagram of the video security monitoring device based on Internet of Things according to the embodiments of the present application, the logic flow chart for determining the dynamic frequency hopping interval of the monitoring device, the logic flow chart for determining the modulation coding mode, and the logic flow chart for determining the interference path suppression duration. The video security monitoring device based on Internet of Things according to the present application comprises: a video acquisition module for acquiring video data of different areas in the hotel; a signal processing module connected with the video acquisition module, comprising a signal conversion unit for converting the video data into a video signal, and a modulation coding unit connected with the signal conversion unit for modulating and coding the video signal to output an optimized monitoring signal; a communication module connected with the signal processing module for transmitting the optimized monitoring signal to the user end through Internet of Things; a frequency adjustment module connected with the signal processing module for determining the dynamic frequency hopping interval of the monitoring device according to the packet error rate of the video data; a coding adjustment module connected with the signal processing module, configured to determine a modulation coding mode according to a transmission failure rate of the optimized monitoring signal; a path adjustment module connected with the signal processing module, configured to determine a jamming path suppression duration according to a deviation between the actual coverage radius and the target radius of the video signal.

[0025] Specifically, the video data includes a number of people, a location of people, and a type of object.

[0026] Specifically, the video signal includes a number of people signal, a location of people signal, and a type of object coding signal.

[0027] Specifically, the optimized monitoring signal includes a number of people compressed coding signal, a location of people compressed coding signal, and a feature coding signal of the type of object.

[0028] Specifically, the dynamic frequency hopping interval of the monitoring device is a time interval between two adjacent frequency switches when the monitoring device performs frequency hopping.

[0029] Specifically, the jamming path suppression duration is a time length during which the monitoring device starts a targeted suppression measure and continues to act after identifying a jamming path that affects signal transmission.

[0030] Specifically, the targeted suppression measure includes signal shielding, filtering, and beam adjustment.

[0031] In the implementation, the device described in the application adjusts the dynamic frequency hopping interval of the monitoring device according to the packet error rate of the video data by setting a video acquisition module, a signal processing module, a communication module, a frequency adjustment module, an encoding adjustment module, and a path adjustment module. Since the device adopts a wireless transmission mode, it is interfered by the signal frequency band overlap of other surrounding wireless devices, resulting in an increase in data packet loss or delay. By reducing the dynamic frequency hopping interval of the monitoring device, the device can switch between different frequencies more quickly, reduce the residence time on the interfered frequency band, and thus reduce the influence of interference on data packet transmission and reduce data packet loss and delay. The modulation and encoding mode is switched according to the transmission failure rate of the optimized monitoring signal. Since the signal strength will decrease sharply when the distance between the monitoring device and the receiving end exceeds the effective coverage range of the signal, resulting in the inability to normally demodulate data packets, by switching high modulation and low encoding to low modulation and high encoding, the reliability of data transmission can be prioritized in a scenario where the signal quality deteriorates, avoiding monitoring interruption caused by demodulation failure, and to some extent, expanding the actual coverage range of the device and improving the robustness of the system. The interference path suppression duration is dynamically adjusted according to the deviation between the actual coverage radius of the video signal and the target radius. Since multiple obstacles are encountered by wireless signals, multiple propagation paths are formed, and there is a phase difference between signals of different paths when they arrive at the receiving end, which may cause the signal strength of the signals of different paths with opposite phases to weaken after superposition, resulting in a signal blind area in a local area. By dynamically adjusting the interference path suppression duration, the interference of the interference path on useful signals such as direct waves can be effectively reduced, the signal strength is improved, and the operation stability of the security monitoring device is improved.

[0032] Specifically, the frequency adjustment module determines that the operation stability of the security monitoring device meets the requirements in response to the packet error rate of the video data being less than or equal to a preset first packet error rate. The frequency adjustment module determines that the operation stability of the security monitoring device does not meet the requirements in response to the packet error rate of the video data being greater than the preset first packet error rate.

[0033] Specifically, the frequency adjustment module preliminarily determines that the robustness of the video signal propagation does not meet the requirements in response to the packet error rate of the video data being greater than the preset first packet error rate and less than or equal to a preset second packet error rate, and determines whether the robustness of the video signal propagation meets the requirements according to the transmission failure rate of the optimized monitoring signal.

[0034] It can be understood that the preset first packet error rate is less than the preset second packet error rate, and the three intervals divided by the preset first packet error rate and the preset second packet error rate correspond to three situations, respectively. The first interval is that the packet error rate of the video data is less than or equal to the preset first packet error rate, and the corresponding situation is that the operation stability of the security monitoring device meets the requirements; The second interval is that the packet error rate of the video data is greater than the preset first packet error rate and less than or equal to the preset second packet error rate, and the corresponding case is that when the distance between the monitoring device and the receiving end exceeds the effective signal coverage range, the signal strength will decrease sharply, resulting in that the data packet cannot be normally demodulated. The third interval is that the packet error rate of the video data is greater than the preset second packet error rate, and the corresponding case is that the device adopts a wireless transmission mode, and is interfered by signal frequency band overlap of other surrounding wireless devices, resulting in that the data packet is lost or delayed.

[0035] It can be understood that in the video security monitoring device based on the Internet of Things, the first packet error rate and the second packet error rate are used as the threshold value for representing the running stability, the core is to accurately distinguish different stable states of the device running through the hierarchical quantization mode, and the corresponding coping strategy is matched. The first packet error rate is the basic stability line, the threshold value corresponds to the minimum acceptable running stability of the device, when the packet error rate is less than or equal to the first packet error rate, the error rate of the video data transmission is at a very low level, the picture is smooth and has no obvious lag, and the device can normally complete the monitoring task, so it is determined that the running stability meets the requirements. The second packet error rate is a serious instability warning line, the threshold value is higher than the first packet error rate, and is used to distinguish between mild instability and serious instability. When the packet error rate is in the interval of the first packet error rate and the second packet error rate, it belongs to mild to moderate instability, and when the packet error rate is greater than the second packet error rate, it belongs to serious instability. The preset first packet error rate and the preset second packet error rate can be set according to the actual working condition. The preset first packet error rate and the preset second packet error rate are set for the running stability and practicability of the security monitoring device. Alternatively, the preset first packet error rate and the preset second packet error rate are determined through limited tests by evaluating the monitoring effect of different packet error rates on the security monitoring device. The determined preset first packet error rate and the preset second packet error rate should meet the requirements that they cannot be too small and cannot cause too much interference to the running of the security monitoring device. For example, the preset first packet error rate is generally selected in the range of [0.1%, 0.3%], and the preset second packet error rate is generally selected in the range of [0.4%, 0.6%].

[0036] Preferably, the preferred embodiment of the preset first packet error rate is 0.2%, and the preferred embodiment of the preset second packet error rate is 0.5%.

[0037] Specifically, the packet error rate of the video data is the ratio of the number of error or lost data packets in the transmission process of the video data to the total number of transmitted data packets.

[0038] In the implementation, the device determines the running stability of the security monitoring device by setting the preset first packet error rate and the preset second packet error rate, reduces the influence of inaccurate determination of the running stability of the security monitoring device on the running accuracy of the security monitoring device, and further improves the running stability of the security monitoring device.

[0039] Specifically, the frequency adjustment module reduces the dynamic frequency hopping interval of the monitoring device in response to the packet error rate of the video data being greater than the preset second packet error rate. The reduction range of the dynamic frequency hopping interval of the monitoring device is determined by the difference between the packet error rate of the video data and the preset second packet error rate.

[0040] Specifically, when the difference between the packet error rate of the video data and the preset second packet error rate is within 0.2%, the dynamic frequency hopping interval of the monitoring device is reduced to 0.9 times the original; when the difference between the packet error rate of the video data and the preset second packet error rate exceeds 0.2%, the dynamic frequency hopping interval of the monitoring device is reduced by 20μs for each 0.1% exceeding, for example, when the difference between the packet error rate of the video data and the preset second packet error rate is 0.4% and the current dynamic frequency hopping interval of the monitoring device is 500μs, the reduced dynamic frequency hopping interval of the monitoring device is 500*0.9-20*2=410μs.

[0041] In implementation, the device adjusts the dynamic frequency hopping interval of the monitoring device by setting the preset first packet error rate and the preset second packet error rate. Since the device uses wireless transmission, it is interfered by signal frequency band overlap of other wireless devices in the surrounding, resulting in increased data packet loss or delay. By reducing the dynamic frequency hopping interval of the monitoring device, the device can switch between different frequencies more quickly, reduce the residence time on the interfered frequency band, and thus reduce the influence of interference on data packet transmission, reduce data packet loss and delay, and further improve the operation stability of the security monitoring device.

[0042] Specifically, the encoding adjustment module determines that the robustness of video signal propagation meets the requirements in response to the transmission failure rate of the optimized monitoring signal being less than or equal to the preset first failure rate. The encoding adjustment module determines that the robustness of video signal propagation does not meet the requirements in response to the transmission failure rate of the optimized monitoring signal being greater than the preset first failure rate.

[0043] Specifically, the encoding adjustment module switches the modulation and coding mode in response to the transmission failure rate of the optimized monitoring signal being greater than the preset first failure rate and less than or equal to the preset second failure rate.

[0044] Specifically, the encoding adjustment module preliminarily determines that the blind area range of the video signal does not meet the requirements in response to the transmission failure rate of the optimized monitoring signal being greater than the preset second failure rate, and determines whether the blind area range of the video signal meets the requirements according to the deviation between the actual coverage radius of the video signal and the target radius.

[0045] It can be understood that the preset first failure rate is less than the preset second failure rate, and the preset first failure rate and the preset second failure rate divide three intervals corresponding to three situations respectively. The first interval is that the transmission failure rate of the optimized monitoring signal is less than or equal to the preset first failure rate, and the corresponding situation is that it is determined that the robustness of the video signal propagation meets the requirements. The second interval is that the transmission failure rate of the optimized monitoring signal is greater than the preset first failure rate and less than or equal to the preset second failure rate, and the corresponding situation is that when the distance between the monitoring device and the receiving end exceeds the effective coverage range of the signal, the signal strength will decrease sharply, resulting in the inability to normally demodulate the data packet. The third interval is that the transmission failure rate of the optimized monitoring signal is greater than the preset second failure rate, and the corresponding situation is that when the wireless signal encounters multiple obstacles, multiple propagation paths are formed, and the signals of different paths arriving at the receiving end have a phase difference, which may cause the signals of different paths with opposite phases to weaken the signal strength after superposition, resulting in a signal blind area in a local area.

[0046] It can be understood that in the video security monitoring device based on the Internet of Things, the first failure rate and the second failure rate are used to represent the robustness of the video signal propagation. The essence is to realize fine evaluation and differentiated intervention on the quality of signal propagation through “class threshold”, which not only conforms to the multi-dimensional characteristics of robustness, but also adapts to the actual needs of signal reliability in the security monitoring scene. The first failure rate is the lowest acceptable threshold of signal propagation robustness, and its role is: when the transmission failure rate is less than or equal to the first failure rate, it means that the probability of failure in signal propagation is extremely low, and the video data transmission is continuous and complete, fully meeting the basic needs of security monitoring. The second failure rate is a higher threshold than the first failure rate, and its role is to further subdivide the situation where the robustness does not meet the requirements and distinguish the severity of the problem. The preset first failure rate and the preset second failure rate can be set according to the actual working conditions. The preset first failure rate and the preset second failure rate are set for the stability and practicality of the security monitoring device. Optionally, the preset first failure rate and the preset second failure rate are determined through limited tests by evaluating the monitoring effect of different transmission states on the security monitoring device. The determined preset first failure rate and preset second failure rate should meet the requirements that they cannot be too small and cannot cause too much interference to the operation of the security monitoring device. The exemplary preset first failure rate is generally selected in the range of [0.2%, 0.4%], and the preset second failure rate is generally selected in the range of [0.5%, 0.7%].

[0047] Preferably, the preferred embodiment of the preset first failure rate is 0.3%, and the preferred embodiment of the preset second failure rate is 0.6%.

[0048] Specifically, the transmission failure rate of the optimized monitoring signal is the ratio of the number of transmission failures to the total number of transmissions in several transmission processes.

[0049] In implementation, the device determines the robustness of the video signal propagation by setting the preset first failure rate and the preset second failure rate, reduces the influence of the decrease of the operation stability of the security monitoring device caused by inaccurate determination of the robustness of the video signal propagation, and further improves the operation stability of the security monitoring device.

[0050] Specifically, the modulation and coding mode is switched from high modulation and low coding to low modulation and high coding.

[0051] Specifically, when the optimized monitoring signal is within the effective range, the high modulation and low coding mode is adopted; and when the optimized monitoring signal is out of the effective range, the low modulation and high coding mode is converted.

[0052] Specifically, the high modulation is generally 256QAM (Quadrature Amplitude Modulation) or 64QAM, and the low coding is generally 1-2Mbps.

[0053] Specifically, the low modulation is generally QPSK (Quadrature Phase Shift Keying) or BPSK (Binary Phase Shift Keying), and the high coding is generally 5-10Mbps.

[0054] In implementation, the device switches the modulation and coding mode by setting the preset first failure rate and the preset second failure rate. When the distance between the monitoring device and the receiving end exceeds the effective coverage range of the signal, the signal strength will decrease sharply, resulting in failure to normally demodulate the data packet. By switching the high modulation and low coding to the low modulation and high coding, the reliability of data transmission can be preferentially ensured in the scenario of deteriorated signal quality, the monitoring interruption caused by demodulation failure is avoided, the actual coverage range of the device is expanded to a certain extent, the robustness of the system is improved, and the operation stability of the security monitoring device is further improved.

[0055] Specifically, the path adjustment module determines that the blind area range of the video signal meets the requirements in response to the deviation amount of the actual coverage radius of the video signal from the target radius being less than or equal to the preset deviation amount. The path adjustment module determines that the blind area range of the video signal does not meet the requirements and dynamically adjusts the interference path suppression duration in response to the deviation amount of the actual coverage radius of the video signal from the target radius being greater than the preset deviation amount.

[0056] It can be understood that the two intervals divided by the preset deviation amount correspond to two situations respectively. The first interval is that the deviation amount of the actual coverage radius of the video signal from the target radius is less than or equal to a preset deviation amount, and the corresponding case is that the blind area range of the video signal is determined to meet the requirements. The second interval is that the deviation amount of the actual coverage radius of the video signal from the target radius is greater than the preset deviation amount, and the corresponding case is that when the wireless signal encounters multiple obstacles, multiple propagation paths are formed, and the signals of different paths arriving at the receiving end have a phase difference, which may cause the signals of different paths with opposite phases to weaken after superposition, resulting in a signal blind area in a local area.

[0057] It can be understood that in the video security monitoring based on the Internet of Things, the deviation amount of the actual coverage radius from the target radius is used to represent the blind area range of the video signal, and the core reason is that it can accurately and intuitively reflect the gap between the signal non-coverage area and the expected coverage demand. Through the spatial gap between the actual coverage and the target demand, the severity of the non-coverage area in the security monitoring is directly reflected, which not only meets the core goal of no dead angle coverage in the security scene, but also facilitates the automatic judgment and optimization of the Internet of Things system. The preset deviation amount can be set according to the actual working condition. The setting of the preset deviation amount aims to improve the running stability and practicability of the security monitoring device. Optionally, the preset deviation amount is determined through a limited number of tests by evaluating the monitoring effect of different coverage radii on the security monitoring device. The determined preset deviation amount should meet the requirements that it cannot be too small and cannot cause too much interference to the running of the security monitoring device. Exemplarily, the preset deviation amount is generally selected in the range of [1m, 3m].

[0058] Preferably, the preferred embodiment of the preset deviation amount is 2m.

[0059] Specifically, the deviation amount of the actual coverage radius of the video signal from the target radius is the difference between the target coverage radius of the video signal and the actual coverage radius of the video signal.

[0060] In implementation, the device determines the blind area range of the video signal by setting the preset deviation amount, which reduces the influence of the running stability of the security monitoring device caused by inaccurate determination of the blind area range of the video signal, and further improves the running stability of the security monitoring device.

[0061] Specifically, the dynamic adjustment of the interference path suppression duration is to determine whether to increase the interference path suppression duration according to the signal strength of the video signal.

[0062] Specifically, when the signal strength suddenly weakens, the interference path suppression duration is first increased, and it is observed whether the signal strength improves. If the improvement is not obvious, the interference path suppression duration is continued to be increased. If the signal strength becomes worse, the interference path suppression duration is decreased.

[0063] Specifically, when the interference path suppression duration is increased, the increase amplitude of the interference path suppression duration is determined by the difference between the deviation amount of the actual coverage radius of the video signal from the target radius and the preset deviation amount.

[0064] Specifically, when the difference between the deviation amount of the actual coverage radius of the video signal from the target radius and the preset deviation amount is within 0.5 m, the interference path suppression duration is increased to 1.1 times of the original; when the difference between the deviation amount of the actual coverage radius of the video signal from the target radius and the preset deviation amount exceeds 0.5 m, the interference path suppression duration is increased by 10 ms for each 0.5 m in addition to the 1.1 times of the original, for example, the difference between the deviation amount of the actual coverage radius of the video signal from the target radius and the preset deviation amount is 1.5 m, and the current interference path suppression duration is 100 ms, the increased interference path suppression duration is 100*1.1+10*2=130 ms.

[0065] Specifically, when the interference path suppression duration is decreased, the decrease amplitude of the interference path suppression duration is determined by the ratio of the deviation amount of the actual coverage radius of the video signal from the target radius to the preset deviation amount.

[0066] Specifically, when the ratio of the preset deviation amount to the deviation amount of the actual coverage radius of the video signal from the target radius is within 0.5, the interference path suppression duration is decreased to 0.9 times of the original; when the ratio of the preset deviation amount to the deviation amount of the actual coverage radius of the video signal from the target radius exceeds 0.5, the interference path suppression duration is decreased by 10 ms for each 0.1 in addition to the 0.9 times of the original, for example, the ratio of the preset deviation amount to the deviation amount of the actual coverage radius of the video signal from the target radius is 0.7, and the current interference path suppression duration is 200 ms, the decreased interference path suppression duration is 200*0.9-10*2=160 ms.

[0067] In implementation, the device of the present application dynamically adjusts the interference path suppression duration by setting the preset deviation amount. When the wireless signal encounters multiple obstacles, multiple propagation paths are formed, and the signals of different paths arriving at the receiving end have phase differences, which may cause the signals of different paths with opposite phases to weaken in signal strength after superposition, resulting in signal blind area in local area. By dynamically adjusting the interference path suppression duration, the interference of the interference path to the direct wave and other useful signals can be effectively reduced, the signal strength is improved, and the operation stability of the security monitoring device is further improved.

[0068] The technical scheme of the present application has been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical schemes after the changes or replacements will all fall within the protection scope of the present application.

Claims

1. A video security monitoring device based on the Internet of Things, characterized in that, include: The video capture module is used to collect video data from different areas within the hotel. The signal processing module is connected to the video acquisition module and includes a signal conversion unit for converting the video data into a video signal and a modulation and coding unit connected to the signal conversion unit for modulating and encoding the video signal to output an optimized monitoring signal. A communication module, which is connected to the signal processing module, is used to transmit the optimized monitoring signal to the user terminal via the Internet of Things; A frequency adjustment module, which is connected to the signal processing module, is used to determine the dynamic frequency jump interval of the monitoring equipment based on the packet error rate of the video data. An encoding adjustment module, which is connected to the signal processing module, is used to determine the modulation and coding scheme based on the transmission failure rate of the optimized monitoring signal; The path adjustment module, which is connected to the signal processing module, is used to determine the interference path suppression duration based on the deviation between the actual coverage radius of the video signal and the target radius.

2. The video security monitoring equipment based on the Internet of Things according to claim 1, characterized in that, The frequency adjustment module responds to the video data error rate being less than or equal to a preset first error rate, thus determining that the operational stability of the security monitoring equipment meets the requirements. The frequency adjustment module determines that the operational stability of the security monitoring equipment does not meet the requirements when the packet error rate of the video data is greater than the preset first packet error rate.

3. The video security monitoring equipment based on the Internet of Things according to claim 2, characterized in that, The frequency adjustment module responds to the fact that the packet error rate of the video data is greater than the preset first packet error rate and less than or equal to the preset second packet error rate, and preliminarily determines that the robustness of the video signal propagation does not meet the requirements.

4. The video security monitoring equipment based on the Internet of Things according to claim 3, characterized in that, The frequency adjustment module responds to the fact that the error rate of the video data is greater than the preset second error rate by reducing the dynamic frequency jump interval of the monitoring device. The reduction in the dynamic frequency jump interval of the monitoring device is determined by the difference between the error rate of the video data and the preset second error rate.

5. The video security monitoring device based on the Internet of Things according to claim 4, characterized in that, The encoding adjustment module responds to the optimization of the monitoring signal transmission failure rate being less than or equal to a preset first failure rate, and determines that the robustness of the video signal propagation meets the requirements. The encoding adjustment module determines that the robustness of the video signal propagation does not meet the requirements when the transmission failure rate of the optimized monitoring signal is greater than the preset first failure rate.

6. The video security monitoring device based on the Internet of Things according to claim 5, characterized in that, The encoding adjustment module switches the modulation and coding scheme in response to the transmission failure rate of the optimized monitoring signal being greater than the preset first failure rate and less than or equal to the preset second failure rate.

7. The video security monitoring device based on the Internet of Things according to claim 6, characterized in that, The encoding adjustment module responds to the fact that the transmission failure rate of the optimized monitoring signal is greater than the preset second failure rate, and preliminarily determines that the blind zone range of the video signal does not meet the requirements.

8. The video security monitoring device based on the Internet of Things according to claim 7, characterized in that, The modulation and coding scheme is switched from high modulation and low coding scheme to low modulation and high coding scheme.

9. The video security monitoring device based on the Internet of Things according to claim 8, characterized in that, The path adjustment module responds to the deviation between the actual coverage radius and the target radius of the video signal being less than or equal to a preset deviation, and determines that the blind zone range of the video signal meets the requirements. The path adjustment module responds to the fact that the deviation between the actual coverage radius and the target radius of the video signal is greater than the preset deviation, determines that the blind zone range of the video signal does not meet the requirements, and dynamically adjusts the interference path suppression duration.

10. The video security monitoring device based on the Internet of Things according to claim 9, characterized in that, The interference path suppression duration is dynamically adjusted by determining whether to increase the interference path suppression duration based on the signal strength of the video signal.

Images