Intelligent video safety supervision system for civilian explosive industry

Abstract

The present application belongs to the technical field of video safety supervision, and particularly relates to an intelligent video safety supervision system for civilian explosive industry, comprising a user terminal, a management intermediate station, a monitoring module and a video monitoring module, which collects the conditions in the factory area including personnel, articles and equipment operation through the video monitoring module, and comprehensively judges whether there are outside personnel entering the factory area in combination with the civilian explosive industry supervision code set in the user terminal and the induction module capable of generating an induction signal, so as to avoid accidents caused by human damage and destruction; in addition, the workshop, access control and warehouse are monitored and managed in real time, and the supervision code possessed by the user terminal is combined to realize the functions of real-time management and supervision of people and articles in the factory building. The present application can solve the problem that the existing monitoring and supervision system is not applicable to the civilian explosive industry.

Description

Technical Field

[0001] This invention belongs to the field of video security monitoring technology, and in particular relates to an intelligent video security monitoring system for the civil explosives industry. Background Technology

[0002] Civil explosives is short for civilian explosive materials, referring to various civilian explosives, detonators and similar pyrotechnic products. The civil explosives industry mainly includes three major businesses: the production and sales of civilian blasting materials and blasting engineering services. At present, my country's economic construction and infrastructure construction are developing rapidly, so there is a large demand for blasting materials and blasting services in the civil explosives industry, and the development of the civil explosives industry has attracted much attention from all parties.

[0003] Currently, the production of civil explosives requires constant monitoring of surrounding factors, including human factors, material factors, and environmental factors. Existing monitoring systems are mainly used in conventional locations, and their effectiveness in this field is limited. For example, they monitor whether employees are wearing safety helmets and protective clothing, monitor fires, and monitor employees for violations of operating procedures. However, the civil explosives industry is different. It requires monitoring of overstaffing, the condition and storage time of stockpiled civil explosives, as well as the impact of natural disasters around the production plant, leaks in tanks, blockages in material inlets and outlets, and overheating caused by friction of explosives or latex matrix. Therefore, existing intelligent monitoring systems are not suitable for this field, and an intelligent video safety supervision system suitable for the civil explosives industry is needed. Summary of the Invention

[0004] The technical problem solved by this invention is to provide an intelligent video safety supervision system for the civil explosives industry, so as to solve the problem that existing monitoring and supervision systems are not suitable for the civil explosives industry.

[0005] The basic solution provided by this invention is: an intelligent video safety supervision system for the civil explosives industry, comprising a user terminal, a management platform, a monitoring module, and a video surveillance module, wherein the user terminal, the monitoring module, and the video surveillance module are all communicatively connected to the management platform;

[0006] The user terminal includes a QR code integration module, a QR code scanning module, and a transmission module. The QR code integration module is used to integrate the civil explosives industry regulatory code; the QR code scanning module is used to scan the civil explosives industry regulatory code and generate regulatory events; and the transmission module is used to transmit the generated regulatory events to the management platform.

[0007] The monitoring module is located in the production workshop, warehouse, and access control area. It is used to monitor the entry and exit of personnel, the operation of the production line in the workshop, and the storage status in the warehouse, and generates monitoring events that are transmitted to the management platform.

[0008] The video surveillance module is used to monitor the interior of the civil explosives factory in all aspects and generate monitoring events;

[0009] The management platform is used to receive regulatory events and monitoring events, and to invoke the video monitoring module based on the abnormal situations reported by the regulatory events and monitoring events; the video monitoring module is used to perform video monitoring on the abnormal situations according to the invocation of the management platform, and to transmit the generated monitoring events to the management platform.

[0010] The management platform is also used to extract feature information based on monitoring events and / or regulatory events and / or surveillance events, generate emergency tasks, and push them to administrators.

[0011] Furthermore, the monitoring module includes a workshop monitoring unit, a warehouse monitoring unit, and an access control monitoring unit. The workshop monitoring unit is installed at the workshop entrance and exit and on the production line. The workshop monitoring unit is used to receive the civil explosives industry supervision code integrated by the user terminal and generate supervision code monitoring events. The workshop monitoring unit is also used to acquire data transmitted by the equipment sensors on the production line and generate production line monitoring events.

[0012] The warehouse monitoring unit is used to acquire information on the entry and exit of goods, the entry and exit of personnel, and the storage of goods in the warehouse in real time, and to generate warehouse monitoring events.

[0013] The access control monitoring unit is used to acquire information on personnel and goods entering and exiting in real time at the entrances and exits of the civil explosives factory, and generate access control monitoring events.

[0014] Furthermore, the management platform includes an anomaly judgment module, which is used to receive monitoring events such as regulatory code monitoring events, production line monitoring events, warehouse monitoring events, and access control monitoring events, and to judge the anomalies of the monitoring events and generate anomaly judgment results. The management platform calls the video monitoring module to independently monitor the locations of the workshop monitoring unit, warehouse monitoring unit, and access control monitoring unit based on the anomaly judgment results of the monitoring events, and generates monitoring results of the monitoring events.

[0015] The anomaly detection module is also used to detect anomalies in regulatory events and monitoring events.

[0016] Furthermore, the civil explosives industry regulatory codes integrated in the QR code integration module include personnel codes, material codes, and traceability codes.

[0017] Furthermore, the user terminal also includes a sensing module, which is used to emit a sensing signal when the user terminals are within a preset range, and the transmission module is also used to transmit the sensing signal to the management platform.

[0018] The video monitoring module is used to perform independent monitoring when the user terminal is within a preset range. The anomaly judgment module is also used to determine whether a sensing signal is generated based on the independent monitoring, and if no sensing signal is generated, to call the video monitoring module again to track and monitor the corresponding user terminal and generate user monitoring results.

[0019] Furthermore, the management platform also includes a warehouse processing module, which receives warehouse monitoring events transmitted by the warehouse monitoring unit; the warehouse processing module is used to manage the storage, use, and push information of the stored items according to the warehouse monitoring events and preset processing rules.

[0020] Furthermore, the anomaly detection module includes a model building unit, a data processing unit, and a task generation unit. The model building unit is used to build a classifier one for monitoring events, a classifier two for regulatory events, and a classifier three for surveillance events. The data processing unit is used to use classifier one to perform anomaly detection on monitoring events and generate a first detection result. The data processing unit is also used to use classifier two to perform anomaly detection on regulatory events and generate a second detection result. The data processing unit is also used to use classifier three to perform anomaly detection on surveillance events and generate a third detection result. The task generation unit is used to generate emergency tasks based on the first, second, and third detection results.

[0021] The principle and advantages of this invention are as follows: To address the issue that existing monitoring systems may not meet the requirements of the civil explosives industry, the technical solution of this application includes a user terminal, a management platform, a monitoring module, and a video monitoring module. The video monitoring module collects information about the factory area, including personnel, goods, and equipment operation. Combined with the civil explosives industry regulatory code set in the user terminal and the sensing module that can generate sensing signals, it comprehensively determines whether there are unauthorized personnel entering the factory area, thus avoiding accidents caused by human-caused damage and destruction. In addition, by conducting real-time monitoring and management of workshops, access control points, and warehouses, and combining the regulatory code on the user terminal, the invention achieves real-time control, management, and supervision of people and goods within the factory. Attached Figure Description

[0022] Figure 1 This is a functional block diagram of Embodiment 1 of the present invention;

[0023] Figure 2 This is a functional block diagram of Embodiment 2 of the present invention. Detailed Implementation

[0024] The following detailed description illustrates the specific implementation method:

[0025] In the civil explosives industry, the supervision of production workshops is quite strict. This is because the entrances and exits of these workshops cannot be closed to prevent improper evacuation in case of accidents. Therefore, strict control over personnel entry and exit is crucial to prevent unauthorized entry. Furthermore, since civil explosives products are highly flammable and hazardous, real-time monitoring and surveillance are needed to ensure proper operation of personnel within the workshops, address production line malfunctions, and promptly clear inventory. Existing monitoring systems suitable for the civil explosives industry are limited. Firstly, personnel monitoring relies on existing video surveillance systems, but the openness of entrances and exits makes it relatively easy for unauthorized personnel to enter and exit in disguise. Secondly, the products manufactured in the workshops are highly flammable, requiring strict control over the production process. For example, prolonged friction on conveyor belts can cause localized overheating of explosive materials, leading to accidents, necessitating targeted monitoring.

[0026] Therefore, this application provides an intelligent video safety monitoring system for the civil explosives industry, the embodiments of which are basically as follows: Figure 1 As shown: It includes a user terminal, a management platform, a monitoring module, and a video surveillance module. The user terminal, the monitoring module, the video surveillance module, and the management platform are communicatively connected. In this embodiment, the user terminal, the monitoring module, and the video surveillance module are all explosion-proof, specifically, the power supplies they use are all intrinsically safe power supplies.

[0027] The user terminal includes a QR code integration module, a QR code scanning module, a transmission module, and a sensing module. The QR code integration module is used to integrate the civil explosives industry regulatory code, which includes three types: person code, item code, and traceability code.

[0028] The "human code" is a "safety identification code" that all personnel of civil explosive enterprises scan when entering the park, enterprise, factory area, and equipment by combining personal information, enterprise information, identity verification, and other key information from government departments.

[0029] The item code is generated by the enterprise administrator who enters information about the equipment, production line, and warehouse, and then affixes the generated item code to the equipment, production line, and warehouse in the corresponding workshop.

[0030] The traceability code is linked to the corresponding "Purchase Record Form" and "Outbound Form" when the product enters the warehouse. When a vehicle enters the warehouse, the traceability code is used for inbound and outbound verification (product quantity, vehicle information). When the product leaves the warehouse, it is linked to the corresponding "Sales Record Form", and the quantity of products leaving the warehouse and vehicle information (including license plate number, driver's name, driver's ID card, and driver's mobile phone number) must be submitted at the same time. Finished product purchasing units (non-civil explosives enterprises) must scan the "Receipt Code" and submit a receipt form after receiving the goods.

[0031] The QR code integration module in this application integrates the aforementioned person code, item code, and traceability code, that is, unifies the three codes into one code. The results of scanning this QR code will be different for different locations, thereby achieving unified management.

[0032] The QR code scanning module is used to scan the civil explosives industry regulatory code, generate a regulatory event, and transmit it to the management platform via the transmission module. In this embodiment, a user holds a user terminal and scans the civil explosives industry regulatory code affixed inside the civil explosives factory. The scan result displays the user's personal code, generating a normal regulatory event, which is then uploaded to the management platform. If an outsider uses a different user terminal to scan the code, the scan will fail because the other user terminal does not have the corresponding integrated regulatory code. Simultaneously, the video monitoring module monitors the scanning area, generating a monitoring event. The management platform generates an abnormal regulatory event based on the monitoring event showing that the user scanned the code but no corresponding regulatory event was uploaded. The management platform then uses the abnormal regulatory event to perform facial recognition and other operations on the monitoring event again, generating both an abnormal monitoring event and an abnormal regulatory event.

[0033] Furthermore, in this application, the user terminal can also be linked with the monitoring module. The monitoring module is located in the production workshop, warehouse, and access control area. The monitoring module located at the access control area, i.e., the access control monitoring unit, adopts an intelligent identification terminal. The user holds the user terminal and calls the civil explosives industry supervision code in the user terminal. Face recognition and supervision code recognition are performed at the intelligent identification terminal, thereby providing dual protection for personnel entering and exiting through both human code recognition and face recognition. In other embodiments of this embodiment, it may also include monitoring of items entering and exiting. In this case, the access control monitoring unit adopts an RFID terminal. The items are labeled with barcodes. The access control monitoring unit performs RFID identification on the items entering and exiting, generates the entry and exit data of the items, and combines it with the aforementioned face recognition and human code recognition to generate an access control monitoring event. If the access control monitoring event detects an anomaly in the identification of personnel entering and exiting or an anomaly in the identification of items entering and exiting, for example, if the item call task received in the management center is different from the actual item called, an anomaly is generated. At the same time, the historical monitoring events related to the item call in the video monitoring module are called and combined to generate an abnormal access control monitoring event.

[0034] The monitoring module also includes workshop monitoring units and warehouse monitoring units. The workshop monitoring units are installed at the entrances and exits of the workshop and on the production line. This is because each workshop in a civil explosives workshop must be isolated from each other. Therefore, workshop monitoring units are set up at the entrances and exits of the workshop. Specifically, scanning equipment is installed at the entrances and exits of the workshop to scan the civil explosives industry regulatory code of the user terminal and generate an entry and exit regulatory code monitoring event. On the one hand, this prevents users without integrated regulatory codes from entering and exiting the workshop without permission, and works with the video monitoring module to track and report personnel. On the other hand, it serves as an entry and exit record for employees who are allowed to enter, recording the work progress of the employees.

[0035] In addition, the workshop monitoring unit is also used to receive data transmitted by equipment sensors located on the production line and generate production line monitoring events. The purpose is that the production line usually integrates sensors to monitor the operating status of the equipment. The workshop monitoring unit receives the monitoring data from the equipment sensors and generates production line monitoring events. After the production line monitoring events are transmitted to the management platform, data on equipment failures are extracted and maintenance tasks are generated.

[0036] The warehouse monitoring unit is used to acquire real-time information on the entry and exit of goods, personnel entry and exit, and the storage of goods in the warehouse, and to generate warehouse monitoring events. In this embodiment, the goods stored in the warehouse include flammable finished products, detonating tools, and raw materials for production. In this embodiment, the management platform can interface with the transaction system, receive order information, and provide real-time feedback on the stored goods in the warehouse, solving the tedious problem of manual sorting and recording. The warehouse monitoring unit generates corresponding monitoring events from the information on the entry and exit of goods, personnel entry and exit, and inventory information, and transmits them to the management platform. The management platform then compares the monitoring events with the orders received by the system. Information is compared and verified to ensure the accuracy of goods leaving the warehouse. Personnel monitoring utilizes QR codes and facial recognition terminals to prevent unauthorized personnel or unauthorized operators from entering the warehouse. Regarding storage management, the management platform will alert administrators when items are stored beyond a preset timeframe. For example, if a raw material has a shelf life of one month, the preset timeframe is 15 days. Based on warehouse monitoring records, the management platform will send alerts and push notifications to administrators. Subsequently, suggested transaction orders can be generated, recommending reductions in the purchase of that type of raw material.

[0037] In this application, to realize the functions of the management platform for the monitoring module, video monitoring module, and user terminal, the management platform includes an anomaly judgment module. The anomaly judgment module is used to receive monitoring events such as regulatory code monitoring events, production line monitoring events, warehouse monitoring events, and access control monitoring events, and to judge the anomalies of the monitoring events and generate monitoring event anomaly judgment results. The management platform calls the video monitoring module to independently monitor the locations of the workshop monitoring unit, warehouse monitoring unit, and access control monitoring unit based on the monitoring event anomaly judgment results, and generates monitoring event monitoring results.

[0038] The management platform also includes a warehouse processing module, which receives warehouse monitoring events transmitted by the warehouse monitoring unit. The warehouse processing module is used to manage the storage, use, and push information of stored items according to the warehouse monitoring events and preset processing rules. For example, it connects to the transaction system to obtain order information and generates suggested order information for push.

[0039] To better realize the functionality of the anomaly detection module, it includes a model building unit, a data processing unit, and a task generation unit. The model building unit is used to build a classifier 1 for monitoring events, a classifier 2 for regulatory events, and a classifier 3 for surveillance events. The data processing unit is used to use classifier 1 to perform anomaly data detection on monitoring events and generate a first detection result. The data processing unit is also used to use classifier 2 to perform anomaly data detection on regulatory events and generate a second detection result. The data processing unit is also used to use classifier 3 to perform anomaly data detection on surveillance events and generate a third detection result. The task generation unit is used to generate emergency tasks based on the first, second, and third detection results.

[0040] Specifically, the classifiers 1, 2, and 3 built by the model building unit are created using deep learning network models. Their input features include images captured by the video surveillance module and data information obtained by the monitoring module, which may include image data, text data, and voice data. They also include preset problem labels, such as the reasons for QR code recognition anomalies, including human-code mismatch, inability to recognize human-code, and abnormal traceability code process. These problem labels are manually input. The output information includes the anomaly category corresponding to the anomaly. The task generation unit generates emergency tasks based on the output information, such as maintenance tasks, personnel evacuation indicators, and personnel warnings. These emergency tasks are received by the corresponding personnel set by the administrator.

[0041] Example 2:

[0042] like Figure 2 As shown, the difference between Embodiment 2 and Embodiment 1 is that in Embodiment 2, the user terminal also includes a sensing module. The sensing module is used to send a sensing signal when the user terminals are within a preset range, and the transmission module transmits the sensing signal to the management platform.

[0043] The video surveillance module performs independent monitoring when the user terminal is within a preset range. Specifically, the user terminal in this application is held by the user and equipped with a sensing module, such as a Bluetooth module. When the distance between users holding the user terminals is within a preset range, such as 2 meters, the sensing modules sense each other and emit sensing signals. In this embodiment, the sensing signals include two presentation methods: one is an audible alert, such as a "beep" sound; the other is a data transmission signal. Through the first method, users holding the user terminals can recognize each other as employees of the same unit. Through the second method, the management platform receives the data transmission type sensing signal and simultaneously receives the monitoring images of the civil explosives factory from the video surveillance module. In the monitoring images, independent monitoring is performed when the distance between users is within the preset range. The independent monitoring is achieved by... The system monitors the screen for at least 5 seconds. If, on the one hand, the distance between the users holding the user terminals reaches a preset range, and on the other hand, a sensor signal is received, then it is determined that there is no abnormality. If, on the one hand, the distance between the users holding the user terminals reaches the preset range, and on the other hand, no sensor signal is received, then it is determined that an abnormality has occurred. When an abnormality occurs, the management platform calls the video monitoring module again to track and monitor both parties holding the user terminals. During the tracking and monitoring, it checks whether a sensor signal is generated when each of the two users comes into contact with another normal user, thereby identifying who is not an employee of the unit and determining that they are outsiders. In another embodiment of this example, the management platform can also read the sensor signals received in the past to determine whether the two parties have appeared in the historical data, and make a comprehensive judgment in combination with facial information.

[0044] The above are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent video safety monitoring system for the civil explosives industry, characterized in that: It includes a user terminal, a management platform, a monitoring module, and a video surveillance module, all of which are communicatively connected to the management platform. The user terminal includes a QR code integration module, a QR code scanning module, and a transmission module. The QR code integration module is used to integrate the civil explosives industry regulatory code; the QR code scanning module is used to scan the civil explosives industry regulatory code and generate regulatory events; and the transmission module is used to transmit the generated regulatory events to the management platform. The monitoring module is located in the production workshop, warehouse, and access control area. It is used to monitor the entry and exit of personnel, the operation of the production line in the workshop, and the storage status in the warehouse, and generates monitoring events that are transmitted to the management platform. The video surveillance module is used to monitor the interior of the civil explosives factory in all aspects and generate monitoring events; The management platform is used to receive regulatory events and monitoring events, and to invoke the video surveillance module based on any abnormalities reported by the regulatory events and monitoring events. The video monitoring module is used to monitor abnormal situations via video according to the calls from the management platform, and to transmit the generated monitoring events to the management platform. The management platform is also used to extract feature information based on monitoring events and / or regulatory events and / or surveillance events, generate emergency tasks, and push them to administrators; The monitoring module includes a workshop monitoring unit, a warehouse monitoring unit, and an access control monitoring unit. The workshop monitoring unit is installed at the workshop entrance and exit and on the production line. The workshop monitoring unit is used to receive the civil explosives industry supervision code integrated by the user terminal and generate supervision code monitoring events. The workshop monitoring unit is also used to acquire data transmitted by the equipment sensors on the production line and generate production line monitoring events. The warehouse monitoring unit is used to acquire information on the entry and exit of goods, the entry and exit of personnel, and the storage of goods in the warehouse in real time, and to generate warehouse monitoring events. The access control monitoring unit is used to acquire information on personnel entry and exit and goods entry and exit at the entrance and exit of the civil explosives factory in real time, and generate access control monitoring events. The management platform includes an anomaly detection module, which receives monitoring events such as regulatory code monitoring events, production line monitoring events, warehouse monitoring events, and access control monitoring events, performs anomaly detection on these events, and generates anomaly detection results. The management platform then calls the video monitoring module to independently monitor the locations of the workshop monitoring unit, warehouse monitoring unit, and access control monitoring unit based on the anomaly detection results, generating monitoring results for the monitoring events. The anomaly detection module is also used to detect anomalies in regulatory events and monitoring events. The user terminal also includes a sensing module, which is used to emit a sensing signal when the user terminals are within a preset range. The transmission module is also used to transmit the sensing signal to the management platform. The video monitoring module is used to perform independent monitoring when the user terminal is within a preset range. The anomaly judgment module is also used to determine whether a sensing signal is generated based on the independent monitoring, and if no sensing signal is generated, to call the video monitoring module again to track and monitor the corresponding user terminal and generate user monitoring results.

2. The intelligent video safety monitoring system for the civil explosives industry according to claim 1, characterized in that: The QR code integration module integrates civil explosives industry regulatory codes, including personnel codes, material codes, and traceability codes.

3. The intelligent video safety monitoring system for the civil explosives industry according to claim 1, characterized in that: The management platform also includes a warehouse processing module, which receives warehouse monitoring events transmitted by the warehouse monitoring unit; the warehouse processing module is used to manage the storage, use, and push information of the stored items according to the warehouse monitoring events and preset processing rules.

4. The intelligent video safety monitoring system for the civil explosives industry according to claim 3, characterized in that: The anomaly detection module includes a model building unit, a data processing unit, and a task generation unit. The model building unit is used to build a classifier 1 for monitoring events, a classifier 2 for regulatory events, and a classifier 3 for surveillance events. The data processing unit is used to use classifier 1 to perform anomaly detection on monitoring events and generate a first detection result. The data processing unit is also used to use classifier 2 to perform anomaly detection on regulatory events and generate a second detection result. The data processing unit is also used to use classifier 3 to perform anomaly detection on surveillance events and generate a third detection result. The task generation unit is used to generate emergency tasks based on the first, second, and third detection results.

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