A warehouse security system

Abstract

The application discloses a warehouse safety protection system and relates to the warehouse protection field.The warehouse safety protection system comprises a plurality of sensors for monitoring the state in the warehouse, indicator lights connected with the sensors for emitting light signals of corresponding colors according to the state detected by the sensors, a camera device arranged in the warehouse for collecting image data of the indicator lights and transmitting the image data to a remote terminal, and the remote terminal configured with a color recognition algorithm for receiving the image data transmitted by the camera device, recognizing the color of the indicator lights, judging whether the state corresponding to the color is an abnormal state, and emitting a corresponding alarm warning when the state is the abnormal state.The warehouse safety protection system based on color recognition realizes a comprehensive solution of low cost, low computing power, high efficiency, strong expansibility and real-time early warning.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of warehouse protection, more particularly, to a warehouse security protection system. BACKGROUND

[0002] As an important place for storing goods, the safety of the warehouse is directly related to the integrity of the goods and the economic interests of the enterprise. However, the warehouse environment often faces various potential risks, such as fire, illegal intrusion, collapse caused by improper stacking of goods, etc. Once these risks occur, not only can cause serious property loss, but also can threaten the safety of the staff. Therefore, the security protection design for the warehouse has important practical significance and application value.

[0003] The common warehouse protection system mainly relies on image recognition technology, which collects image data through a camera, combines complex dynamic analysis algorithms, and detects possible abnormal states in the warehouse. Although image recognition technology can effectively monitor the state of the warehouse, its implementation requires high-performance computing hardware and complex software algorithms, resulting in high system cost. In addition, image recognition technology has high demand for computing power, which has certain limitations in real-time performance and energy efficiency, especially in large warehouse environments that need to be continuously monitored, the energy consumption problem of long-term operation is more prominent. At the same time, relying on manual monitoring of the warehouse state can reduce the complexity of technology, but in the case of all-weather monitoring, the labor cost is high and the efficiency is low, which is not suitable as a long-term solution.

[0004] In view of the above problems, if a low-cost and easy-to-implement warehouse protection scheme can be designed, not only can it reduce the technical threshold, but also can enhance the safety of the warehouse through timely warning. SUMMARY

[0005] The technical problem solved by the present application is to provide a warehouse security protection system to solve the problems mentioned in the background.

[0006] In order to achieve the above purpose, the present application adopts the following technical scheme:

[0007] A warehouse security protection system, comprising:

[0008] A plurality of sensors for monitoring the state in the warehouse;

[0009] An indicator light connected with the sensor for emitting a light signal of a corresponding color according to the state detected by the sensor;

[0010] A camera device arranged in the warehouse for collecting image data of the indicator light and transmitting to a remote terminal;

[0011] The remote terminal is configured with a color recognition algorithm, used for receiving image data transmitted by the camera, recognizing the color of the indicator light, and judging whether the state corresponding to the color is an abnormal state, and issuing a corresponding alarm warning when the state is an abnormal state.

[0012] In optional embodiments, the sensors include any one or more of the following:

[0013] A smoke sensor;

[0014] A door and window magnetic sensor;

[0015] A sound sensor;

[0016] An infrared sensor.

[0017] Preferably, when any one of the sensors detects an abnormal state, the indicator light emits light of a color corresponding to the abnormal state; and when the sensors do not detect an abnormal state, the indicator light emits light of a color corresponding to a normal state.

[0018] Preferably, the warehouse is also provided with a photoelectric sensor for detecting the light of the indicator light, the photoelectric sensor being communicatively connected to the remote terminal, the remote terminal judging the color of the indicator light through data of the photoelectric sensor, and further judging the state of the warehouse, and issuing an alarm warning when there is an abnormal state.

[0019] In optional embodiments, the warehouse is divided into multiple areas, and each area is provided with a corresponding sensor.

[0020] In optional embodiments, the indicator light is connected to all the sensors, and indicates the area of the warehouse where the corresponding sensor is located through the saturation of the color or the flashing frequency of the light.

[0021] Preferably, the indicator light is arranged close to the camera or the photoelectric sensor.

[0022] Preferably, the indicator light is arranged in an area close to the ceiling of the warehouse. In this way, the obstruction of goods can be avoided.

[0023] Preferably, the camera is arranged in an area close to the ceiling. In this way, the entire warehouse can be viewed from above when the state of the warehouse needs to be checked.

[0024] In preferred embodiments, the indicator light is provided in multiple numbers, and each indicator light is connected to one type of sensor. In this way, each type of alarm signal can be obtained.

[0025] The present application has the following advantages over the prior art:

[0026] 1、The present application combines sensors with indicator lights to visually represent the status in the warehouse in the form of color signals, and uses a camera device and color recognition algorithm to achieve remote status monitoring. Compared with traditional image recognition-based monitoring systems, the present application does not require complex image processing and high-performance computing hardware, and can complete status judgment through a color recognition algorithm only, greatly reducing the system's computing power demand and operating cost, while improving the response speed, thereby realizing real-time and accurate abnormal state alarm.

[0027] 2、The present application introduces a photoelectric sensor as an auxiliary component, which can directly detect the light signal of the indicator light and transmit the corresponding color data to the remote terminal. Compared with the scheme that simply relies on the camera device, the photoelectric sensor has the advantages of high sensitivity and strong anti-interference ability, especially in the case of complex warehouse environment light or limited camera view angle, the photoelectric sensor can provide more stable color detection results, further improving the reliability and adaptability of the system. And the camera is easy to be recognized and damaged by intruders, while the photoelectric sensor is not easy to be recognized and damaged.

[0028] 3、The present application also designs a multi-region status monitoring function for the partition management needs of the warehouse. The warehouse can be divided into multiple regions according to the actual situation, and independent sensors and indicator lights are set in each region. All indicator lights are connected with the sensors, and the color saturation or flicker frequency is used to distinguish the status of different regions. This design enables the system to quickly locate the problem area when an abnormal state occurs, facilitating warehouse managers to take targeted measures in a timely manner. This multi-region monitoring method not only improves the management accuracy of the system, but also is suitable for large warehouses and complex storage environments.

[0029] 4、The present application is particularly aimed at the problem of line-of-sight obstruction caused by frequent stacking of goods in the warehouse, and reasonably arranges the indicator lights and camera device on the top or near the ceiling of the warehouse, thereby avoiding the influence of goods obstruction on the monitoring effect. This design combines the actual use scene of the warehouse, greatly improving the adaptability and practicality of the system. In summary, the present application has the core characteristics of low cost, high efficiency and easy deployment, and effectively solves the technical problems in the existing warehouse safety protection system through multiple technical innovations, providing a new solution for warehouse safety management. BRIEF DESCRIPTION OF DRAWINGS

[0030] Figure 1 is a schematic diagram of the system of the present application;

[0031] Figure 2 is a light alarm schematic diagram of the system of the present application;

[0032] Figure 3 is a schematic diagram of the system of the present application using multi-region configuration and photoelectric sensor. DETAILED DESCRIPTION

[0033] The specific embodiments of the present application will be described below with reference to the accompanying drawings.

[0034] First, the overall scheme of the present application, as shown in Figure 1 , includes:

[0035] a plurality of sensors for monitoring the status in the warehouse;

[0036] an indicator light connected to the sensors for emitting light signals of corresponding colors according to the status detected by the sensors;

[0037] a camera device arranged in the warehouse for collecting image data of the indicator light and transmitting to a remote terminal;

[0038] a remote terminal configured with a color recognition algorithm for receiving the image data transmitted by the camera device, recognizing the color of the indicator light, and judging whether the status corresponding to the color is an abnormal status, and issuing a corresponding alarm warning when the status is an abnormal status.

[0039] More specifically, a plurality of sensors can be arranged in the warehouse, such as smoke sensors, door and window magnetic sensors, sound sensors, and infrared sensors, respectively for monitoring smoke concentration, door and window status, goods falling sound, and unauthorized activities of personnel in the warehouse. Each sensor is connected to the corresponding indicator light through a circuit, and the indicator light is installed in the warehouse ceiling area to ensure that the light signal is still clear and visible in the case of high goods stacking and obstructed view.

[0040] The present application designs a variety of color signals to represent different states, for example, red represents a fire alarm, yellow represents an illegal intrusion alarm, blue represents a goods falling alarm, orange represents a door and window unlocked alarm, and green represents all normal states, as shown in Figure 2 .

[0041] A single indicator light can be used to indicate the status, and abnormal states can be overlapped, such as the signal of the last abnormal state covering the signal of the previous abnormal state, so that the terminal can record abnormal state signals at different times. However, a single indicator light can also be used to indicate the signal of a single sensor, so that multiple abnormal states can be displayed on the remote terminal.

[0042] Each sensor transmits its on-off or analog signal to the LED driving module with embedded microcontroller through wired or wireless way. The module is pre-loaded with a state-color mapping table (e.g. "fire -> red light; illegal intrusion -> yellow light", etc.), when receiving the sensor signal, the microcontroller outputs the corresponding PWM control signal to drive the RGB LED or multi-color LED array according to the mapping table, quickly switching to the corresponding color and can superimpose the flashing frequency or brightness modulation, achieving the precise control of "emitting light signals of corresponding colors according to the state detected by the sensor".

[0043] The camera can be set on the warehouse ceiling, covering the entire warehouse indicator light area, to facilitate users to view the warehouse status in real time. It can also be aimed only at the indicator light to facilitate the acquisition of alarm information.

[0044] The camera collects image data of the indicator light in real time and transmits the image to the remote terminal. The remote terminal is built-in color recognition algorithm, which is used to analyze the color signal of the indicator light and judge whether there is an abnormal state. For example, when the smoke sensor detects that the smoke concentration exceeds the standard, the indicator light immediately emits a red light signal, the camera collects the image and transmits it to the remote terminal, and the color recognition algorithm identifies the red color and judges that the current state is "fire alarm", then triggers the alarm system and sends the fire warning information to the manager through SMS or App. Similarly, when the door and window magnetic sensor detects that the door and window is abnormally opened, the indicator light emits a yellow light signal, and the remote terminal identifies the yellow color and judges it as "illegal intrusion alarm", triggering the alarm and notifying the security personnel to go to the scene for inspection.

[0045] As shown in Figure 3 When the warehouse is relatively large, it can be divided into multiple areas, and each area is provided with an independent set of sensors, but in principle, the indicator light only needs one set. When an abnormality occurs in a certain area, the indicator light can mark the specific area position through the saturation or flashing frequency of the light, for example, when the A area is abnormal, the light flashes at a frequency of 1 times per second, the B area flashes at a frequency of 2 times per second, and the C area flashes at a frequency of 3 times per second. For example, when there is a smoke alarm abnormality, if the corresponding area is A area, the light displays a light red color, if the corresponding area is B area, the light displays a normal red color, and if the corresponding area is C area, the light displays a dark red color.

[0046] To further improve the reliability of the system, the warehouse can also deploy photoelectric sensors as a backup solution. These photoelectric sensors directly detect the light signal of the indicator light and transmit the data to the remote terminal. If the camera is disabled due to obstruction or human damage, etc., the system can still analyze the light signal through the photoelectric sensor, judge the warehouse state and issue an alarm.

[0047] Overall, the system effectively realizes comprehensive monitoring and accurate alarm of safety risks such as warehouse fire, illegal intrusion, goods falling and door and window being unlocked through the cooperation of indicator lights and sensors, combined with color recognition algorithms and the processing capacity of remote terminals. This design fully considers the characteristics of high stacking, large space and blocked view in warehouses, ensuring the efficiency and reliability of the system in practical application.

[0048] The technical solution of the present application is completely feasible under the existing technical conditions, and is realized based on mature hardware devices, communication methods and algorithm technology, and can be implemented through standardized engineering means. Specifically:

[0049] The various sensors in the present application, including smoke sensors, door and window magnetic sensors, sound sensors and infrared sensors, are all mature industrial-grade devices in the existing market. These sensors have high sensitivity and stability, and can monitor different states of the warehouse in real time. For example, the smoke sensor can use photoelectric or ion type devices, which can detect small smoke particles and output a signal when the concentration reaches a set threshold; the door and window magnetic sensor is based on Hall effect or reed switch technology, which can quickly detect the opening or closing state of the door and window.

[0050] The indicator light can use a low-power LED light source, which can emit a variety of preset color signals, with a short color switching response time (usually less than 1 millisecond) and very low power consumption, suitable for long-term operation. The indicator light is connected to the sensor through an industrial-grade control chip, and after receiving the sensor signal, it immediately emits the corresponding color signal according to the preset logic.

[0051] The camera device can use an industrial-grade high-definition camera that supports 1080p or higher resolution, which can effectively collect image data in low-light environments (less than 5 lux), and can be equipped with an infrared fill light to enhance the shooting effect in dim warehouses. The camera has a standard network port or Wi-Fi module for transmitting the collected image data to the remote terminal.

[0052] The connection between the sensor and the indicator light can use wired communication methods such as RS485 bus, CAN bus, or low-power wireless communication methods such as ZigBee or LoRa protocol. These communication methods are widely used in the field of industrial Internet of Things, with high reliability and anti-interference ability. The data transmission between the camera device and the remote terminal can use Ethernet or Wi-Fi, and the specific choice depends on the network layout of the warehouse. If the warehouse environment is complex, 5G or NB-IoT technology can be used to realize communication between the camera device and the cloud server.

[0053] The remote terminal can be configured with an industrial-grade server or an embedded processor, supporting multi-thread processing and real-time data reception. The data transmission protocol can be selected from standardized MQTT, HTTP or WebSocket protocols to ensure the efficiency and stability of image data transmission.

[0054] The color recognition algorithm is one of the core technologies of the present application. This algorithm can be based on the RGB color model or the HSV color model, and uses image processing techniques to recognize the color of the indicator light. The specific implementation steps are as follows:

[0055] 1. The image data collected by the camera device is first subjected to noise reduction processing (such as Gaussian filtering) and gray scale enhancement to ensure the accuracy of color recognition in low light environments.

[0056] 2. Use threshold segmentation or K-means clustering-based methods to extract color pixels in the indicator light region.

[0057] 3. Convert the extracted pixel color values to HSV space and determine the specific color of the indicator light according to the pre-set color range.

[0058] For example, the HSV value range of red can be set as H∈[0,10] or H∈[160,180], S∈[50,255], V∈[50,255].

[0059] The color recognition result is matched with the pre-set state table to determine whether the current indicator light state is abnormal, and the corresponding alarm mechanism is triggered.

[0060] This algorithm has a mature implementation in traditional image processing libraries (such as OpenCV) and has a small amount of calculation, which can be efficiently run on embedded devices or ordinary PC terminals. This is much simpler than using complex image recognition.

[0061] In addition, the photoelectric sensor is a detection device based on the photoelectric effect, which can sense the intensity and color of light signals. Inside the photoelectric sensor, a combination of photosensitive elements (such as photodiodes or phototriodes) and optical filters is usually used. The optical filter separates light of a specific wavelength range and converts it into an electrical signal. For color data transmission, the photoelectric sensor can decompose the received light signal into the intensity values of the red, green, and blue primary colors through spectral separation and output them in the form of digital signals. This signal can be transmitted to a remote terminal through a standard communication interface (such as I2C, SPI, or UART). The terminal determines the specific color of the light source by reading these data and combining color recognition algorithms. For example, when the indicator light emits red light, the red light channel of the photoelectric sensor will output a high-intensity signal, while the output values of the green and blue light channels are close to zero, and the terminal can accurately identify it as a red state. The implementation of such photoelectric sensors in the industrial field is already very mature and can meet the needs of real-time transmission and analysis of color data in warehouse environments.

[0062] The system architecture of the present application is based on modular design, and each component has a standardized interface for easy integration and debugging. For example, the connection between the sensor and the indicator light, and the indicator light and the camera device all use a universal protocol. The remote terminal accesses the cloud platform through a standard API to realize data storage and alarm information pushing. Existing industrial Internet of Things platforms (such as Ali Cloud IoT and AWS IoT Core) can provide perfect cloud support for the system.

[0063] In addition, it should be noted that compared with the scheme of directly transmitting sensor data to the remote terminal for alarm, the present application has more advantages.

[0064] Firstly, the direct transmission scheme requires that the detection data of each sensor be transmitted in real time to the remote terminal through the network. With the increase in the number and types of sensors in the warehouse, the number of data transmission channels and bandwidth requirements will increase exponentially. For large warehouses, this design will lead to a dramatic increase in communication load, frequent network congestion, and even possible data transmission delays or losses, thereby affecting the timeliness and accuracy of the alarm. In contrast, the present application uses indicator lights to aggregate and visually represent the detection status of the sensors in the form of color signals, significantly reducing the amount of raw data that needs to be transmitted. Only the image data of the color signals need to be transmitted to complete remote monitoring, effectively reducing the complexity of data transmission.

[0065] In terms of scalability of the system, the scheme of directly transmitting sensor data requires designing corresponding data interfaces and processing logic for each newly added sensor type. For example, when a door-window magnetic force sensor or a sound sensor is newly added in the warehouse, the remote terminal must update the communication protocol and adjust the alarm rules, which not only increases the development and maintenance costs, but also may cause the system upgrade cycle to be too long, making it difficult to flexibly adapt to the expansion of warehouse functions. The present application uses color signals to transmit state information, and no matter what type of sensor is newly added, it can be compatible by simply configuring a dedicated color or flashing mode for it, and the remote terminal only needs to be processed by a color recognition algorithm, greatly improving the scalability and flexibility of the system.

[0066] In addition, the scheme of directly transmitting data has higher requirements for network quality, especially in the case of large-scale sensor deployment, which may require additional construction of high-cost network infrastructure. The present application uses local indicator lights as the first layer display of the state, combined with camera data collection, even in the case of network interruption, the local system can still operate normally, and after the remote terminal restores the network, it can quickly access the existing state data, ensuring the robustness and availability of the system.

[0067] Furthermore, the security protection system of the present application can also be extended to places that need large-area, multi-person monitoring and are easily affected by shielding, such as data center machine rooms, chemical plant storage tank areas, cold chain warehouses, museum exhibition halls, or large parking lots, etc. In these scenarios, the state of smoke, temperature, illegal intrusion, or equipment failure is collected by sensors, and visual light signals are used to intuitively prompt, not only reducing network bandwidth pressure, but also maintaining local alarm capability when the network is interrupted or the camera fails, greatly improving the applicability and robustness of the security protection system.

[0068] The above is only the preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto, any skilled person in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A warehouse security protection system, characterized by, The warehouse is divided into multiple areas, and a sensor is arranged in each area. The indicator light is only arranged in one group and is connected to all the sensors. The saturation of the color or the flashing frequency of the light is used to indicate the area of the warehouse where the corresponding sensor is located. The warehouse is further provided with a photoelectric sensor for detecting the light of the indicator light. The photoelectric sensor is communicatively connected to the remote terminal. The remote terminal determines the color of the indicator light through the data of the photoelectric sensor, and further determines the state of the warehouse, and issues an alarm warning when there is an abnormal state. The indicator light is arranged near the camera or the photoelectric sensor. The indicator light is arranged near the ceiling of the warehouse. The camera is arranged near the ceiling. The camera is aligned with the indicator light for collecting image data of the indicator light and transmitting to the remote terminal. The photoelectric sensor is used as a backup solution to directly detect the light signal of the indicator light and transmit data to the remote terminal. When the camera is blocked or damaged by human, the remote terminal analyzes the light signal of the indicator light through the photoelectric sensor, determines the state of the warehouse and issues an alarm warning. The sensor includes any one or more of the following: Smoke sensor; Door and window magnetic sensor; Sound sensor; Infrared sensor.

2. The warehouse security shield system of claim 1, wherein, When any one of the sensors detects an abnormal state, the indicator light emits light of a color corresponding to the abnormal state. When the sensor does not detect an abnormal state, the indicator light emits light of a color corresponding to the normal state. ​ ​ ​ ​ 3. The warehouse security shield system according to claim 1 or 2, characterized in that ​

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