Core Benefits of the Project: 

Remodeling the Security Management and Control Pattern of the Aero - Engine Park

As a core enterprise, the aero - engine park was previously restricted by the traditional security model of "fragmented systems, delayed responses, and unclear traceability". There was a gap between the efficiency of security management and control and the requirements for protecting core technology confidentiality. After the implementation of CSVision's iSSP Intelligent Security Situation Awareness and Management and Control Platform, the pain points of the park were completely solved from five dimensions, bringing revolutionary convenience:

Project Background

The security of the aero - engine park is directly related to the confidentiality of core technologies, the stability of production order, and the personal safety of employees. The traditional "decentralized and manual" security model has been difficult to meet the park's requirements for efficient management and control, risk prediction, and accurate traceability. ZhongShengYiHua's iSSP tailored an integrated intelligent security system for the owner, injecting new impetus of "intelligence, visualization, and closed - loop management" into the security management of the aero - engine park.

Customer's Pain Points

| Fragmented systems and serious information islands: 

The original more than 2,000 new and old monitoring systems operated independently. Systems such as access control, electronic fences, and road gates were not connected to each other, and data could not be shared. When an event occurred, it was necessary to query across multiple platforms, resulting in low response efficiency.

| Mainly manual management and control with delayed risk response: 

Problems such as vehicle retention and visitors overstaying their time relied on manual inspections to be discovered, which was prone to "neglect of management" and "delayed management". Security hazards such as perimeter intrusion and vehicle speeding were difficult to be warned in time. Passive responses were likely to miss the golden period for disposal.

| Difficult to trace personnel trajectories and unclear responsibility definition:

There was frequent personnel flow in the factory area. Relying only on access control card swiping or monitoring clips could not completely restore the personnel's action paths. Once a security incident or confidentiality problem occurred, it was difficult to quickly locate the relevant personnel and time nodes.

| Scattered data without visualization and lack of support for decision - making: 

Information such as visitor data, vehicle data, and equipment status was scattered in various systems. There was no unified display platform, and management personnel were difficult to grasp the overall security situation of the factory area in real - time. Decision - making relied on experience rather than data.

Project Highlights: 

The iSSP Platform Builds a Solid Security Line for the Aero - Engine Park

| Full - system integration to break information islands: 

ZhongShengYiHua's iSSP Intelligent Security Situation Awareness and Management and Control Platform integrates more than 2,000 new and old videos, manages access control systems, electronic fence systems, infrared alarm systems, vehicle road gate management systems, and visitor management systems in a unified manner. It supports rapid response and traceability of cross - system events, realizing "one platform to manage the whole area".

| AI - enabled proactive prevention and control, customized scenarios to solve problems:

1.Intelligent alarm linkage and disposal: 

Based on the AI cameras connected to the platform, functions such as perimeter warning alarms, vehicle speeding alarms, and whitelist alarms are realized. All alarm information is pushed to the platform in real - time, and the closed - loop process of "receiving the alarm - rechecking - dispatching orders - handling" is triggered synchronously to ensure that alarm events are followed up by dedicated personnel from start to finish. It gets rid of the inefficient mode of "manual screen - watching" and transforms security management and control from "passive response" to "active early - warning", reducing the misjudgment rate of hidden dangers such as perimeter intrusion and vehicle violations and shortening the disposal time.

2.Intelligent management of vehicle parking and retention: 

By connecting to the vehicle road gate management system, a threshold for vehicle parking time is set. When a vehicle in the factory area stays beyond the deadline or the total parking time exceeds the limit, the system automatically pushes a notice or alarm to the application end, and simultaneously displays information such as the location and license plate number of the retained vehicle. It solves the problems of "easy omission of records and difficult tracking" in traditional manual vehicle registration in the park, avoids vehicles occupying fire - fighting passages or production areas for a long time, and ensures the traffic order in the factory area.

3.Full - ecological management and control of visitors: 

A customized visitor analysis dashboard is developed according to customer needs. By connecting to the visitor management system, it supports displaying the number of visiting personnel, the distribution of visiting reasons, and the statistics of visited departments on an annual, monthly, or daily basis. It also displays real - time information on current visitors in the factory and retained visitors, presenting data visually. It realizes the full - process traceability of visitors from "registration - entering the factory - leaving the factory", avoids management loopholes caused by visitors overstaying or unclear information, and provides data support for personnel management and control in the factory area.

4.Comprehensive trajectory management of factory area personnel: 

By connecting to the access control system (card - swiping/face - recognition data) and the monitoring system (face - capture data), it supports querying the action trajectory of a person in the factory area with one - click input of personnel information, automatically generating a trajectory map, and marking key nodes such as the location of the cameras passed by and the access control card - swiping time. It solves the problem of "fragmented and difficult - to - integrate" personnel trajectories. Once a security incident or confidentiality check occurs, the personnel's action path can be quickly restored, and the responsibility boundary can be clearly defined.

5.High - frequency alarms for strangers in key areas of the park: 

The information of internal employees in the park is deeply bound to their positions. The system presets the exclusive work areas for each employee (such as production workshops, administrative offices, etc.). Through real - time identification of personnel positions by AI cameras, when an employee is detected to leave their exclusive work area multiple times and frequently enter key areas of the park (warehouses, machine rooms, core production areas, etc.), a warning pop - up window for the key area will automatically appear on the 2.5D map of the platform, and the employee will be marked as a "suspected dangerous person" synchronously. The system immediately pushes the warning details (including personnel information, high - frequency entry time, and the name of the key area) to management personnel, prompting them to initiate manual investigations and targeted management and control measures. It prevents internal employees from illegally entering core confidential areas or high - risk areas, avoids security problems such as technology leakage and equipment damage caused by "unauthorized access", transforms internal personnel management and control from "post - event traceability" to "in - process intervention", and reduces security risks.

| Intelligent security cockpit to overview the whole situation on one screen: 

CSVision constructed a 2.5D modeling map of the factory area and single - floor buildings. All system data is integrated on the cockpit interface, realizing real - time statistical analysis and visual display of indicators such as monitoring coverage rate, access control traffic, alarm disposal rate, number of visitors, and vehicle retention situation. It transforms scattered data into a "visible and usable" overall situation. Management personnel can grasp the security status of the factory area without querying across systems, supporting data - driven decision - making.

| Reserved evolution base to support future expansion: 

To avoid the high - cost problem of "starting over" in later expansion and ensure that the system can be continuously iterated with the development of the enterprise and meet the increasingly high - level security management requirements of aviation enterprises in the long term. The platform adopts a modular architecture design and already has the core capabilities to support the integration of security and fire protection, digital twin, and CV large models. It can support the evolution and upgrade of intelligent factories without reconstructing the system later, fundamentally avoiding repeated construction:

· Capability to support the integration of security and fire protection: 

The platform has constructed a data fusion framework for security and fire protection and can directly connect to data from fire - fighting equipment such as smoke detectors, temperature sensors, and electrical monitoring devices, realizing the joint research and judgment of "security pictures + fire - fighting data". When the fire - fighting system detects an abnormality in the core production area, the platform can automatically retrieve on - site monitoring for rechecking and synchronously trigger disposal processes such as emergency unlocking of access control and activation of sprinklers, forming an integrated management and control of "security + fire protection".

· Capability to adapt to digital twin: 

Based on the existing 2.5D modeling results, the platform has the ability to access three - dimensional models and perform virtual - real interaction. It can directly integrate dynamic data such as equipment operation data, real - time personnel trajectories, and energy consumption information, simulate scenarios such as equipment failures and fire spread in a virtual scenario, and provide visual support for emergency drills and resource scheduling without rebuilding the twin base.

· Capability to integrate CV large models: 

The platform has a built - in algorithm deployment and data analysis framework and can directly connect to industrial - level computer vision large models, realizing the upgrade from "single - behavior recognition" to "comprehensive risk research and judgment". It can accurately identify illegal operations in the core workshop and abnormal behaviors in confidential areas and generate risk prediction reports in combination with historical data to improve the accuracy of intelligent prevention and control.