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The dangerous area intrusion detection system is based on intelligent analysis and automatically analyzes and identifies image information without manual intervention; Timely detect the entry and intrusion of personnel in the monitoring area, give early warning in the fastest and best way, effectively assist management personnel to deal with it, and minimize false alarms and false negatives; At the same time, you can also view the on-site video, which is convenient for post-event management and inquiry.
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The safety accidents that are prone to occur in the production workshop include electric shock, falling, being caught in the roll, being hit by objects, fire and so on. "Safety in production, responsibility is heavier than Mount Tai", this is a topic that often hangs on people's lips. However, there are still many innocent lives that have been swallowed up by successive industrial accidents such as fires, poisoning, etc.
Therefore, it is urgent to strengthen the safety management of the factory floor.
In response to the problem of workshop safety management, Zhenqu Technology has launched the "Workshop Personnel Positioning System" based on the industry-leading Internet of Things positioning technology, which can not only obtain the real-time location, movement trajectory of workshop personnel, and whether the monitoring inspection indicators are qualified, but also set key data such as inspection points and inspection duration of inspection personnel. When danger occurs, it can also carry out one-click emergency help to reduce accident losses.
An overview of the functionality of the Shop Floor Personnel Positioning System.
1. Positioning management of patrol personnel.
It can locate the inspectors in real time, and view the real-time location, inspection duration, inspection trajectory and other data of the inspectors. Through the system settings, key locations can be marked and the minimum inspection duration can be set, so as to optimize the inspection process and achieve efficient management of inspection personnel.
2. Location management of maintenance personnel.
Managers can view the name, time and other information of the maintenance personnel entering the workshop in the factory area in the system; The track and stay time of the maintenance personnel in the workshop can be viewed, and the event can be traced back if there is an abnormal situation.
3. Electronic fence early warning.
Electronic fence can be set up in the designated area to realize the functions of "crossing the border early warning, detention early warning, overcrowding and shortage early warning". Once an abnormal situation occurs in the area, the workshop personnel positioning system will automatically give early warning information to remind the relevant management personnel to ensure the safety of the area.
4. Positioning management of foreign visitors.
Managers can view the time, activity track and other information of foreign visitors entering the factory area on the management platform. According to the visitor visit information recorded by the system, comprehensive data statistics can be realized, and data such as the time, number of visits, and walking routes of different people can be viewed.
5. One-click emergency help.
In daily work, if an abnormal situation or critical accident occurs in a certain area, employees can use the positioning card they wear with them to take the initiative to report the location of the accident; Managers can judge the distribution of personnel in the area based on the information for help, and quickly deal with it to ensure safety.
Combining the workshop personnel positioning system with the existing monitoring system in the workshop area, once someone breaks into the electronic fence area, the background will automatically warn and pop up the monitoring of the corresponding location, so as to understand the on-site situation at the first time and provide a basis for management decisions.
7. Positioning management of safety equipment.
The workshop personnel positioning system can install positioning tags on important equipment such as tools and tools, and management personnel can view the total number of relevant tools and tools, their location, and detailed data of entry and exit at any time, so as to facilitate the intelligent management of inventory and equipment.
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The intelligent image recognition system based on the first stream of the dangerous area intrusion detection system, using the latest deep learning and big data technology, instead of the human eye, real-time detection of the first screen of the dangerous monitoring area, when it is found that there are abnormal behaviors such as personnel intrusion in the monitoring area, the system actively triggers the alarm prompt.
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Concern. The dangerous area intrusion alarm system identifies the dangerous area in real time 7*24 hours, and actively triggers the alarm when someone is detected to break in, helping the safe production of the construction site.
Danger Zone Intrusion Alarm System.
At present, among the workers working on the front line of the construction site, migrant workers account for about 50%-70%, and some construction sites are as high as 95%, without professional training, and the awareness of dangers and hidden dangers is not strong; Real-time monitoring is difficult to achieve, managers cannot stare at the monitoring 7*24 hours, it is easy to be tired in safety supervision, and attention cannot be concentrated at all times; The construction site monitoring cannot be monitored and managed in real time, and the post-event query is complex, and the data is difficult to manage.
Danger Zone Intrusion Alarm System.
Through various monitoring devices installed at the construction site, the dangerous area intrusion report and laughing alarm system can build an intelligent monitoring and prevention system, which can effectively make up for the shortcomings of traditional methods and technologies in supervision, realize all-round real-time monitoring of dangerous monitoring areas, change passive "supervision" to active "monitoring", and truly achieve pre-warning, normal detection during the event, and standardized management after the event, so as to achieve information management of safety production on the construction site.
Advantages of Break-In Alarm Systems for Dangerous Areas.
1.Carry out unified management of dangerous areas, avoid the use of manpower to frequently go to the site for supervision and inspection, reduce the cost of personnel management, and improve work efficiency.
2.In the event of abnormal conditions and emergencies such as personnel intrusion, the police can be called in time to remind the management personnel to deal with it in time.
The intrusion alarm system in dangerous areas has greatly improved the work efficiency and management of construction enterprises, completely subverted the original traditional on-site management model, and made the competitiveness of construction enterprises qualitatively leapfrog.
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Based on intelligent analysis, the safety production answering dangerous area intrusion monitoring system automatically analyzes and identifies the image information, without manual intervention, and monitors the construction operation of the dangerous area in an all-round way.
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Information Security Engineer Knowledge: Overview of the main functions of the intrusion detection system.
The main functions of an intrusion detection system can be summarized as follows:
Monitor and analyze the activities of users and systems to find illegal users and unauthorized actions of legitimate users;
Detect the correctness of system configuration and security vulnerabilities, and prompt administrators to patch leaks;
Statistical analysis of users' abnormal activities to discover the rules of intrusion behaviors;
Check the consistency and correctness of system procedures and data, such as calculating and comparing the checksums of file systems;
Ability to react in real-time to detected intrusions;
Audit trail management of the operating system.
The basic assumption of intrusion detection is that user and program behavior can be collected, for example through system auditing mechanisms. What's more, there is a significant difference between normal and abnormal behavior. Therefore, an intrusion detection system consists of several required elements:
The resources that need to be protected in the target system. For example: network services, users, system core, etc.;
tags that are relevant to these resources"Normal"of and"Legal"a model of behavior;
Techniques for comparing the differences between established models and collected behaviors. Those and"Normal"Behaviors that behave differently are considered to be"Invasion"。
A qualified intrusion detection system can greatly simplify the work of the administrator, make it easier for the administrator to monitor and audit the network and computer systems, expand the administrator's security management capabilities, and thus keep the network and computer system running safely.
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The safety production hazardous area intrusion monitoring system is based on intelligent analysis, automatic analysis and identification of image information, without manual intervention, all-round monitoring of construction dangerous areas, once someone is detected to break into the dangerous area, the alarm prompt is immediately triggered, effectively assist the safety management personnel to work, and minimize the phenomenon of false alarms and false negatives, and can also view the on-site video, which is convenient for post-management and query.
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1.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, the personnel in the danger monitoring area enter the real-time identification and early warning, the alarm signal can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage drive alarm lights and alarm signals prompt users to deal with them in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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1.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, the personnel in the danger monitoring area enter the real-time identification and early warning, the alarm signal can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage drive alarm lights and alarm signals prompt users to deal with them in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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The utility model relates to the field of safe production, in particular to a security area anti-intrusion early warning system.
Background technology: under the current situation, safety production can not be ignored and can not be ignored, especially in the highway area for construction operations, need to place construction signs, reflective cones, wear safety helmets, reflective clothing, etc., in the standardization of construction operations, there are still occasional vehicles accidentally intrude into the construction area, resulting in equipment, materials, personnel injury. In the event of a safety accident, the intrusion system is applied to the accident safety area to warn other personnel and vehicles from entering the accident to prevent the occurrence of secondary injury accidents.
The early warning system adopted on the market at present is the trigger placed on the cone, the sensitivity is low, the sound and light effect is not obvious, there is no construction personnel to carry the alarm device equipment, and the installation position is on the position of the construction area, the effect of early warning can not be achieved, and the safety precaution is not high.
Technical Implementation Elements:
The utility model discloses a technical problem to solve is that, in view of the above-mentioned defects of the prior art, provide a kind of early warning in advance, improve the safety precautionary work, reduce the damage to people's lives and property, prevent the occurrence of secondary injury accident in the safe area anti-intrusion early warning system.
The utility model discloses a technical scheme adopted to solve its technical problem is: construct a security area anti-intrusion early warning system, comprise vehicle detection system, acousto-optic alarm system, solar power supply system and vibration bracelet system, the input end of described vehicle detection system is wirelessly connected with microwave infrared probe, the output end of described vehicle detection system is connected with the input end of described acousto-optic alarm system, and the other input end of described acousto-optic alarm system is connected with the output end of described solar power supply system, The output end of described acousto-optic alarm system is connected with the input end of described vibrating bracelet system, described acousto-optic alarm system comprises signal processing module, power amplifier, tweeter and acousto-optic alarm, the input end of described signal processing module is connected with vehicle detection signal, one output end of described signal processing module is connected with the input end of described power amplifier, the other output end of described signal processing module is connected with the input end of described acousto-optic alarm, and the other output end of described power amplifier is connected with the input end of described tweeter.
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1.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, the construction operation of the dangerous area of all-round monitoring, once the detection of someone into the dangerous area, immediately trigger the alarm prompt, the alarm information can be displayed in the monitoring client interface, can also be pushed to the mobile terminal.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
All-round monitoring of the dangerous area of construction operations, once someone is detected to intrude into the dangerous area, the alarm prompt will be triggered immediately, and the alarm information will be stored in the server database, including time, place, snapshot, etc.
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1.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, the personnel in the danger monitoring area enter the real-time identification and early warning, the alarm signal can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage drive alarm lights and alarm signals prompt users to deal with them in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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1.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, the personnel in the danger monitoring area enter the real-time identification and early warning, the alarm signal can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage drive alarm lights and alarm signals prompt users to deal with them in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.