The ideal intrusion detector merely responds to the presence of personnel and does not respond to the activities of animals such as dogs, cats, and mice, and does not respond to changes in the indoor environment such as changes in temperature, humidity, and wind, rain, and vibration. It is not easy to do this, most devices not only respond to people's existence, but also respond to the influence of some unrelated factors.
Alarms issued when there are no intrusions are called false alarms. False positives may be caused by element failures or some external influences. It is unthinkable that the bad consequences will be caused. The lightest consequence is that people are bored with many unnecessary troubles, which greatly reduces the credibility of the alarm. degree. The worst consequence is that it causes the security personnel to rush to the scene unnecessarily, so that their own safety and the safety of people around them will be jeopardized. Therefore, false alarm is the fatal weakness of the alarm.
Let us analyze the main reason that infrared detection alarms may cause false alarms. At present, there are several reasons for false alarms in the alarm system:
1. The poor anti-jamming capability of the detector shows that the same frequency interference is likely to cause false positives;
2. Infrared detectors cause false alarms due to inaccurate judgment of intrusion behavior;
3, infrared detectors susceptible to temperature, light and other environmental factors and generate false positives;
4. As the host and the detector both use wireless coding to set the code to have duplicates, causing the host and detector re-code to cause false alarms;
5, some alarm quality is too bad, such as component damage and poor production process caused false positives;
6, with the selection of equipment, installation methods, angles, positions are also related;
7, under the influence of the environment, such as air movement, pets, etc., as well as human factors are mainly misused by the user, accidentally triggered the alarm, mistakenly mistakenly, mistakenly entered the defense of the visiting area will generate false positives.
The reasons for false positives are many and complex. Therefore, the most important thing to reduce the false alarm of burglar alarm is to consider it from many aspects, such as selecting the detector from the aspects of technology and performance, including the choice of the sensor detector, the external design of the Fresnel lens, and micro processing. Program, multi-technology, automatic code-scrolling coding technology, production process, use method, temperature compensation, sensitivity detection distance adjustment and so on. These comprehensive factors determine the detector's performance and false alarm rate.
Therefore, we summarize the following points that can reduce false alarms for alarms:
Sensors embedded anti-false alarm detection alarm products In order to eliminate false alarm rates, we have developed expensive anti-false alarm and detection equipment, and add it to the sensor, on the one hand to improve the alarm processing speed, on the one hand through the detector to reduce False positives. There are also DMF and DMT techniques used to distinguish between true and false alarms, specifically to distinguish human and pet trigger alarm patterns.
Networking of monitoring probes and detectors The fuss of sensors seems to be a challenge for the company's R&D capabilities. In addition to relying on core hardware, alarms can reduce false alarms and can be linked to monitoring equipment. According to industry sources, a qualified detector requires accurate alarms, of which 50% depends on video surveillance, the remaining 30% rely on software, and 20% rely on hardware. Obviously the alarm detector partner plays a more important role.
In fact, the monitoring probe and detector network is not a new technology, this alarm system can be integrated with the home automation monitoring system, not only to ensure the normal operation of the equipment, but also invaluable value for the development of the IP network alarm market.
Amplifying Signals to Distinguish Interference Sources Another form we use to reduce the false alarm rate through sensors is called signal amplification. For motion detection in different environments, a signal is amplified to reduce other signal interference; The detector detects the actual motion and eliminates possible interference signals.
In addition, there is an automatic temperature compensation algorithm that discriminates the source of interference and reduces false alarms by distinguishing the actual ambient temperature from the human or animal temperature.
The above techniques or analysis algorithms reduce the false alarm rate through different levels and eliminate the possibility of interference from the interference source. As with the DMF described above, this is determined by detecting the pace of the pedestrian to determine if there is a need for an alarm. In the outdoors, the environment is relatively complex, so it is necessary to use two motion detectors. Only when two sensors trigger an alarm at the same time can the alarm be truly triggered.
This logic-determined automatic detection technology reduces the possibility of false alarms caused by wind, rain, fog, snow, and other natural environmental changes. Adjusting the detection frequency determines different environments. It seems that such simple and smart products are suitable for civilian and consumer markets. . Guangzhou AiLiFu Electronic Technology Co., Ltd. specializes in producing various kinds of high-quality, professional, high-quality burglar alarm products. After many years of industrial use verification, it can effectively solve various problems encountered by customers and provide security for burglar alarm customers. The guarantee.
Alarms issued when there are no intrusions are called false alarms. False positives may be caused by element failures or some external influences. It is unthinkable that the bad consequences will be caused. The lightest consequence is that people are bored with many unnecessary troubles, which greatly reduces the credibility of the alarm. degree. The worst consequence is that it causes the security personnel to rush to the scene unnecessarily, so that their own safety and the safety of people around them will be jeopardized. Therefore, false alarm is the fatal weakness of the alarm.
Let us analyze the main reason that infrared detection alarms may cause false alarms. At present, there are several reasons for false alarms in the alarm system:
1. The poor anti-jamming capability of the detector shows that the same frequency interference is likely to cause false positives;
2. Infrared detectors cause false alarms due to inaccurate judgment of intrusion behavior;
3, infrared detectors susceptible to temperature, light and other environmental factors and generate false positives;
4. As the host and the detector both use wireless coding to set the code to have duplicates, causing the host and detector re-code to cause false alarms;
5, some alarm quality is too bad, such as component damage and poor production process caused false positives;
6, with the selection of equipment, installation methods, angles, positions are also related;
7, under the influence of the environment, such as air movement, pets, etc., as well as human factors are mainly misused by the user, accidentally triggered the alarm, mistakenly mistakenly, mistakenly entered the defense of the visiting area will generate false positives.
The reasons for false positives are many and complex. Therefore, the most important thing to reduce the false alarm of burglar alarm is to consider it from many aspects, such as selecting the detector from the aspects of technology and performance, including the choice of the sensor detector, the external design of the Fresnel lens, and micro processing. Program, multi-technology, automatic code-scrolling coding technology, production process, use method, temperature compensation, sensitivity detection distance adjustment and so on. These comprehensive factors determine the detector's performance and false alarm rate.
Therefore, we summarize the following points that can reduce false alarms for alarms:
Sensors embedded anti-false alarm detection alarm products In order to eliminate false alarm rates, we have developed expensive anti-false alarm and detection equipment, and add it to the sensor, on the one hand to improve the alarm processing speed, on the one hand through the detector to reduce False positives. There are also DMF and DMT techniques used to distinguish between true and false alarms, specifically to distinguish human and pet trigger alarm patterns.
Networking of monitoring probes and detectors The fuss of sensors seems to be a challenge for the company's R&D capabilities. In addition to relying on core hardware, alarms can reduce false alarms and can be linked to monitoring equipment. According to industry sources, a qualified detector requires accurate alarms, of which 50% depends on video surveillance, the remaining 30% rely on software, and 20% rely on hardware. Obviously the alarm detector partner plays a more important role.
In fact, the monitoring probe and detector network is not a new technology, this alarm system can be integrated with the home automation monitoring system, not only to ensure the normal operation of the equipment, but also invaluable value for the development of the IP network alarm market.
Amplifying Signals to Distinguish Interference Sources Another form we use to reduce the false alarm rate through sensors is called signal amplification. For motion detection in different environments, a signal is amplified to reduce other signal interference; The detector detects the actual motion and eliminates possible interference signals.
In addition, there is an automatic temperature compensation algorithm that discriminates the source of interference and reduces false alarms by distinguishing the actual ambient temperature from the human or animal temperature.
The above techniques or analysis algorithms reduce the false alarm rate through different levels and eliminate the possibility of interference from the interference source. As with the DMF described above, this is determined by detecting the pace of the pedestrian to determine if there is a need for an alarm. In the outdoors, the environment is relatively complex, so it is necessary to use two motion detectors. Only when two sensors trigger an alarm at the same time can the alarm be truly triggered.
This logic-determined automatic detection technology reduces the possibility of false alarms caused by wind, rain, fog, snow, and other natural environmental changes. Adjusting the detection frequency determines different environments. It seems that such simple and smart products are suitable for civilian and consumer markets. . Guangzhou AiLiFu Electronic Technology Co., Ltd. specializes in producing various kinds of high-quality, professional, high-quality burglar alarm products. After many years of industrial use verification, it can effectively solve various problems encountered by customers and provide security for burglar alarm customers. The guarantee.
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Ferro Molybdenum composed of molybdenum and iron, generally containing 50 to 60% of molybdenum, are used as alloying additives for steelmaking. Ferro molybdenum is an alloy of molybdenum and iron. Its main use is as a molybdenum addition agent in steelmaking. The addition of molybdenum to the steel allows the steel to have a uniform fine-grained structure and increase the hardenability of the steel, which is beneficial to the elimination of temper brittleness. In high-speed steel, molybdenum can replace a portion of tungsten. Molybdenum is used in combination with other alloying elements to produce stainless steels, heat-resistant steels, acid-resistant steels and tool steels, as well as alloys with special physical properties. Molybdenum added to cast iron can increase its strength and wear resistance.
Ferro Molybdenum
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