Intelligent fusion connector box
By setting up signal detection modules and prefabricated terminals at the input and output ends of the optical fiber connector, combined with the control chip and infrared image analysis, the self-test and self-recovery of the fusion joint box is achieved, solving the problems of looseness and poor heat dissipation at the optical fiber connection, and improving system stability and management efficiency.
Patent Information
- Application Number
- CN202510456239.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-11
- Publication Date
- 2025-07-22
AI Technical Summary
The existing fusion joint box is prone to loosening due to migration and pulling at the connection between optical fiber and optical cable, which affects the quality of optical signal transmission, and has poor heat dissipation conditions, high failure rate and lack of self-test function, which may cause system abnormalities and economic losses.
A signal detection module is set up at the input and output ends of the optical fiber connector, signal allocation and management is performed through the optical splitter module, automatic disconnection and reconnection is achieved using prefabricated terminals, self-test and self-recovery are performed in combination with the control chip, and abnormal judgment is performed using infrared image acquisition and convolutional neural network.
The self-test and self-recovery functions of optical fiber connections are realized, which reduces the failure rate, improves the stability and management efficiency of the system, and avoids economic losses caused by failures.
Smart Images

Figure CN120352987A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of optical fiber communication, and particularly relates to an intelligent fusion splice enclosure. Background Art
[0002] A fusion splice enclosure is a device integrating multiple functions, mainly used for the connection and protection of optical cables and optical fibers in an optical communication system. An intelligent fusion splice enclosure plays a key role in the communication system, mainly for the connection of optical cables and optical fibers. On the one hand, it not only provides a secure optical communication connection function, and on the other hand, it also provides functions such as protecting the optical fiber fusion part and providing a transfer function, ensuring the stable and reliable operation of the entire system.
[0003] Due to its special location at the connection of optical fibers and optical cables, the existing fusion splice enclosures are easily involved when the optical fibers and optical cables are migrated and pulled. During the pulling process, it is very easy for the connections of optical fibers or optical cables to become loose, affecting the transmission process of optical signals, resulting in blocked optical signal transmission or reduced optical signal transmission quality.
[0004] Moreover, due to the special location of the fusion splice enclosure and the aggregation of its internal modules, its heat dissipation conditions are relatively poor, and the failure rate during use is relatively high. The existing fusion splice enclosures do not have self-checking functions. When a certain fusion splice enclosure fails or malfunctions, it may cause signal anomalies in an area, resulting in unstable or abnormal operation of other devices, and may even cause relatively serious economic losses or other losses.
[0005] Therefore, how to improve the existing fusion splice enclosures to make them have self-checking or self-recovery capabilities and reduce their failure rate during use is an urgent technical problem that needs to be solved for fusion splice enclosures currently. Summary of the Invention
[0006] The purpose of the present invention is to provide an intelligent fusion splice enclosure to improve the existing fusion splice enclosures, making them have self-checking or self-recovery capabilities and reducing their failure rate during use.
[0007] To solve the above technical problems, the technical solution adopted by the present invention is as follows:
[0008] An intelligent fusion splice enclosure includes a housing. An optical fiber connector is arranged inside the housing, and the optical fiber connector is used to realize the butt joint and connection of optical fibers. Signal detection modules are respectively arranged at the optical fiber input end and the optical fiber output end of the optical fiber connector. The signal detection modules are used to detect the optical fiber signals at the optical fiber input end and the optical fiber output end, and judge whether there are anomalies at the optical fiber input end and the optical fiber output end of the optical fiber connection part of the intelligent fusion splice enclosure;
[0009] It also includes an optical splitter module that distributes the input optical signal according to a preset ratio to achieve the distribution and management of multiple optical fiber signals. A signal detection module is provided at the output end of each optical signal in the optical splitter module to detect the intensity of each optical signal;
[0010] The optical fiber connector includes a prefabricated terminal. When the signal detection module at the optical fiber input end of the optical fiber connector detects an optical signal with a normal intensity and the signal detection module at the optical fiber output end does not detect an optical signal with a normal intensity, the prefabricated terminal automatically disconnects and automatically reconnects.
[0011] Preferably, a control chip is further provided inside the housing, and the prefabricated terminal is provided with a connection control module, and the control module is used to control the connection or disconnection of the prefabricated terminal;
[0012] Both the signal detection module and the connection control module are communicatively connected to the control chip. The signal detection module transmits the detected signal data to the control chip. The control chip analyzes the signal data of the optical fiber input end and the optical fiber output end of the optical fiber connector received, and judges whether the optical fiber connector is in a normal connection state. If it is judged that the optical fiber connector is in an abnormal connection state according to the signal data, the control chip sends a control command for a disconnection operation to the connection control module. After receiving the disconnection control command, the connection control unit disconnects the prefabricated terminal. When the prefabricated terminal is disconnected, the control chip sends a control command for a connection operation to the connection control module. After receiving the connection control command, the connection control unit connects the prefabricated terminal.
[0013] Preferably, the signal detection module includes a signal detection circuit, and the signal detection circuit includes a first resistor, a second resistor, a third resistor, a fourth resistor, a first diode, a second diode, a third diode, an amplifier, and an inverter;
[0014] The positive electrode of the first diode is connected to the voltage input end, the negative electrode of the first diode is connected to the first resistor, the first resistor is connected to the second resistor, and the other end of the second resistor is respectively connected to the inverting input end of the amplifier and the negative electrode of the second diode. The positive electrode of the second diode is connected to the optical signal input end;
[0015] The non-inverting input end of the amplifier is connected to the third resistor and is connected to the input end of the inverter through the third resistor. The positive power supply end of the amplifier is connected to the positive electrode of the 5V power supply voltage, and the negative power supply end is grounded;
[0016] The output terminal of the inverter is connected to the fourth resistor, the other end of the fourth resistor is connected to the positive electrode of the third diode, and the negative electrode of the third diode is grounded.
[0017] Preferably, it further includes a voltage acquisition module and a current acquisition module. The voltage acquisition module and the current acquisition module are respectively connected to the control chip. The voltage acquisition module is used to acquire the voltage data of the internal circuit of the joint box. The current acquisition module is used to acquire the current data at a specified position in the internal circuit of the joint box, and transmit the acquired voltage data and current data to the control chip. The control chip analyzes the voltage data and current data to judge whether the voltage and current are within the normal operating voltage and current ranges, and analyzes the abnormal positions inside the intelligent fusion joint box based on the current and voltage data at each specified position.
[0018] Preferably, an infrared image acquisition device is arranged at a specified position inside the housing. The infrared image acquisition is used to acquire the infrared image inside the intelligent fusion joint box and transmit the acquired infrared image to the control chip. The control chip identifies and analyzes the infrared image. Various infrared image data of the joint box with various abnormalities and corresponding image features are preset inside the control chip. When the control chip judges the abnormality of the joint box based on the infrared image, it first extracts the specified image features from the infrared image and compares the extracted image features with the preset image features to judge whether there are abnormalities inside the joint box.
[0019] Preferably, the process of extracting the specified image features and feature comparison for the infrared image is as follows:
[0020] The infrared image is grayscale processed, and a feature extraction model is created. The feature extraction model is a convolutional neural network, and the feature extraction model is trained with the labeled infrared images with abnormalities.
[0021] A combined layer of a convolutional layer and a pooling layer is set in the feature extraction model. A convolutional kernel of a specified size is set in the convolutional layer, and the convolutional kernel is slid on the infrared image, and a feature map is generated based on the dot product operation. Each convolutional kernel extracts specified image features.
[0022] The beneficial effects of the present invention include:
[0023] The intelligent fusion splice box provided by the present invention is provided with signal detection modules at the optical fiber input end and the optical fiber output end of the optical fiber connection member respectively. The signal detection modules are used to detect the optical fiber signals at the optical fiber input end and the optical fiber output end, and judge whether there are abnormalities at the optical fiber input end and the optical fiber output end. It further includes an optical splitter module, which distributes the input optical signal according to a preset ratio to realize the distribution and management of multiple optical fiber signals. A signal detection module is provided at the output end of each optical signal in the optical splitter module to detect the intensity of each optical signal. The optical fiber connection member includes a prefabricated terminal. When the signal detection module at the optical fiber input end of the optical fiber connection member detects an optical signal with a normal intensity and the signal detection module at the optical fiber output end does not detect an optical signal with a normal intensity, the prefabricated terminal automatically disconnects and reconnects automatically, realizing the functions of self-checking or self-recovery of the splice box and reducing the failure rate during its use. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 It is a schematic diagram of the signal detection circuit of the intelligent fusion splice box of the present invention.
[0025] Reference numerals: R1 is the first resistor, R2 is the second resistor, R3 is the third resistor, R4 is the fourth resistor, D1 is the first diode, D2 is the second diode, D3 is the third diode, P1 is the amplifier, I is the inverter, Pin is the signal input terminal, and Vin is the voltage input terminal. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0026] The following further describes the present invention in detail with reference to the Figure 1 drawings:
[0027] Embodiment 1
[0028] Referring to the Figure 1 drawings, an intelligent fusion splice box includes a housing. An optical fiber connection member is arranged inside the housing, and the optical fiber connection member is used to realize the butt joint and connection of optical fibers. Signal detection modules are respectively arranged at the optical fiber input end and the optical fiber output end of the optical fiber connection member. The signal detection modules are used to detect the optical fiber signals at the optical fiber input end and the optical fiber output end, and judge whether there are abnormalities at the optical fiber input end and the optical fiber output end of the optical fiber connection part of the intelligent fusion splice box. A control chip is further arranged inside the housing, and the prefabricated terminal is provided with a connection control module, and the control module is used to control the connection or disconnection of the prefabricated terminal.
[0029] The intelligent fusion splice box of the present invention further includes an optical splitter module, which distributes the input optical signal according to a preset ratio to realize the distribution and management of multiple optical fiber signals. A signal detection module is provided at the output end of each optical signal in the optical splitter module to detect the intensity of each optical signal. The optical fiber connector includes a prefabricated terminal. When the signal detection module at the optical fiber input end of the optical fiber connector detects an optical signal with a normal intensity and the signal detection module at the optical fiber output end does not detect an optical signal with a normal intensity, the prefabricated terminal automatically disconnects and automatically reconnects.
[0030] During the normal operation of the intelligent fusion splice box, due to its special position at the connection between the optical fiber and the optical cable, the existing fusion splice box is easily involved when the optical fiber and the optical cable are migrated and pulled. During the pulling process, it is very easy for the connection between the optical fiber and the optical cable to become loose, affecting the optical signal transmission process, resulting in blocked optical signal transmission or reduced optical signal transmission quality. And due to the special position of the fusion splice box and the aggregation of its internal modules, its heat dissipation conditions are relatively poor, and the failure rate during use is relatively high. The existing fusion splice box does not implement self-checking. When a certain fusion splice box fails or is abnormal, it may cause signal anomalies in a region, resulting in other devices being unable to operate stably or normally, and may even cause relatively serious economic losses or other losses.
[0031] Since the connection is the position where abnormalities are most likely to occur in the splice box, the present invention respectively sets signal detection modules at the optical fiber input end and the optical fiber output end of the optical fiber connector, and detects the optical fiber signals at the optical fiber input end and the optical fiber output end through the signal detection modules to determine whether there are abnormalities at the optical fiber input end and the optical fiber output end of the optical fiber connection of the intelligent fusion splice box. For example, when the signal detection module at the optical fiber input end of the optical fiber connector detects an optical signal with a normal intensity, but the signal detection module at the optical fiber output end does not detect an optical signal with a normal intensity, it can be determined that there is a problem at the optical fiber connector, with loose or detached connections. At this time, the prefabricated terminal of the optical fiber connector is activated to control the prefabricated terminal to automatically disconnect and automatically reconnect, realizing the automatic solution of connection failures.
[0032] Embodiment 2
[0033] On the basis of Embodiment 1, both the signal detection module and the connection control module are communicatively connected to the control chip. The signal detection module transmits the detected signal data to the control chip. The control chip analyzes the signal data of the optical fiber input end and the signal data of the optical fiber output end of the optical fiber connector received, and determines whether the optical fiber connector is in a normal connection state. If it is determined according to the signal data that the optical fiber connector is in an abnormal connection state, the control chip sends a control command for a disconnection operation to the connection control module. After receiving the disconnection control command, the connection control unit performs a disconnection operation on the prefabricated terminal. After the prefabricated terminal is disconnected, the control chip sends a control command for a connection operation to the connection control module. After receiving the connection control command, the connection control unit performs a connection operation on the prefabricated terminal.
[0034] In this embodiment, the signal detection module includes a signal detection circuit. Refer to Figure 1 as shown. The signal detection circuit includes a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4, a first diode D1, a second diode D2, a third diode D3, an amplifier P1, and an inverter I. The positive electrode of the first diode D1 is connected to the voltage input terminal Vin, the negative electrode of the first diode D1 is connected to the first resistor R1, the first resistor R1 is connected to the second resistor R2, and the other end of the second resistor R2 is respectively connected to the inverting input terminal of the amplifier P1 and the negative electrode of the second diode D2. The positive electrode of the second diode D2 is connected to the optical signal input terminal. The non-inverting input terminal of the amplifier P1 is connected to the third resistor R3 and is connected to the input terminal of the inverter I through the third resistor R3. The positive power supply terminal of the amplifier P1 is connected to the positive electrode of the 5V power supply voltage, and the negative power supply terminal is grounded. The output terminal of the inverter I is connected to the fourth resistor R4, and the other end of the fourth resistor R4 is connected to the positive electrode of the third diode D3. The negative electrode of the third diode D3 is grounded. A photodetector is provided in the signal detection module. The photodetector receives the optical signal and generates a weak current signal. The preamplifier circuit composed of the amplifier P1, the first resistor R1, the second resistor R2, the third resistor R3, the first diode D1, and the second diode D2 realizes the conversion of the current signal into a voltage signal and amplification, and realizes the detection of the optical signal.
[0035] In another implementation of this embodiment, a voltage acquisition module and a current acquisition module are further included. The voltage acquisition module and the current acquisition module are respectively connected to the control chip. The voltage acquisition module is used to acquire the voltage data of the internal circuit of the joint box, and the current acquisition module is used to acquire the current data at a specified position of the internal circuit of the joint box, and transmit the acquired voltage data and current data to the control chip. The control chip analyzes the voltage data and current data to determine whether the voltage and current are within the normal operating voltage and current ranges, and analyzes the abnormal positions inside the intelligent fusion joint box based on the current and voltage data at each specified position.
[0036] An infrared image acquisition device is arranged at a specified position inside the outer shell. The infrared image acquisition is used to acquire the infrared image inside the intelligent fusion joint box and transmit the acquired infrared image to the control chip. The control chip identifies and analyzes the infrared image. Various infrared image data of the joint box with various abnormalities and the corresponding image features are preset inside the control chip. When the control chip makes an abnormality judgment on the joint box based on the infrared image, it first extracts the specified image features from the infrared image and compares the extracted image features with the preset image features to determine whether there are abnormalities inside the joint box.
[0037] Embodiment 3
[0038] Based on Embodiment 1 or Embodiment 2, the process of extracting the specified image features and comparing the features of the infrared image is as follows:
[0039] The infrared image is grayscale processed, and a feature extraction model is created. The feature extraction model is a convolutional neural network, and the feature extraction model is trained with the labeled infrared images with abnormalities; a combined layer of a convolutional layer and a pooling layer is set in the feature extraction model. A convolutional kernel of a specified size is set in the convolutional layer, and the convolutional kernel is slid on the infrared image, and a feature map is generated based on the dot product operation. Each convolutional kernel extracts specified image features.
[0040] In summary, the intelligent fusion splice enclosure provided by the present invention is provided with signal detection modules at the optical fiber input end and the optical fiber output end of the optical fiber connector respectively. The signal detection modules are used to detect the optical fiber signals at the optical fiber input end and the optical fiber output end, and determine whether there are abnormalities at the optical fiber input end and the optical fiber output end. It also includes an optical splitter module, which distributes the input optical signal according to a preset ratio to achieve the distribution and management of multiple optical fiber signals. A signal detection module is provided at the output end of each optical signal in the optical splitter module to detect the intensity of each optical signal. The optical fiber connector includes a prefabricated terminal. When the signal detection module at the optical fiber input end of the optical fiber connector detects an optical signal with a normal intensity and the signal detection module at the optical fiber output end does not detect an optical signal with a normal intensity, the prefabricated terminal automatically disconnects and reconnects automatically. During the process of realizing the self-checking or self-recovery function of the splice enclosure, the failure rate during its use can be reduced, the maintenance cost of the splice enclosure can be reduced, and the management efficiency of the splice enclosure can be improved.
Claims
1. An intelligent fusion joint box, characterized in that, It includes a housing, inside which an optical fiber connector is provided. The optical fiber connector is used to achieve the butt-joint and connection of optical fibers. Signal detection modules are respectively provided at the optical fiber input end and the optical fiber output end of the optical fiber connector. The signal detection modules are used to detect the optical fiber signals at the optical fiber input end and the optical fiber output end, and judge whether there are abnormalities at the optical fiber input end and the optical fiber output end of the optical fiber connection part of the intelligent fusion joint box. It further includes an optical splitter module. The optical splitter module distributes the input optical signal according to a preset ratio to achieve the distribution and management of multiple optical fiber signals. Signal detection modules are provided at the output end of each optical signal in the optical splitter module to detect the intensity of each optical signal. The optical fiber connector includes a prefabricated terminal. When the signal detection module at the optical fiber input end of the optical fiber connector detects an optical signal with normal intensity and the signal detection module at the optical fiber output end does not detect an optical signal with normal intensity, the prefabricated terminal automatically disconnects and automatically reconnects.
2. The intelligent fusion splice closure according to claim 1, wherein, A control chip is further provided inside the housing. The prefabricated terminal is provided with a connection control module. The control module is used to control the connection or disconnection of the prefabricated terminal. Both the signal detection module and the connection control module are communicatively connected to the control chip. The signal detection module transmits the detected signal data to the control chip. The control chip analyzes according to the signal data of the optical fiber input end and the signal data of the optical fiber output end of the received optical fiber connector, and judges whether the optical fiber connector is in a normal connection state. If it is judged according to the signal data that the optical fiber connector is in an abnormal connection state, the control chip sends a control command for a disconnection operation to the connection control module. After receiving the disconnection control command, the connection control unit performs a disconnection operation on the prefabricated terminal. When the prefabricated terminal is disconnected, the control chip sends a control command for a connection operation to the connection control module. After receiving the connection control command, the connection control unit performs a connection operation on the prefabricated terminal.
3. The intelligent fusion joint box according to claim 2, wherein The signal detection module includes a signal detection circuit. The signal detection circuit includes a first resistor, a second resistor, a third resistor, a fourth resistor, a first diode, a second diode, a third diode, an amplifier, and an inverter. The positive electrode of the first diode is connected to the voltage input end. The negative electrode of the first diode is connected to the first resistor. The first resistor is connected to the second resistor. The other end of the second resistor is respectively connected to the inverting input end of the amplifier and the negative electrode of the second diode. The positive electrode of the second diode is connected to the optical signal input end. The non-inverting input end of the amplifier is connected to the third resistor and is connected to the input end of the inverter through the third resistor. The positive power supply end of the amplifier is connected to the positive electrode of the 5V power supply voltage, and the negative power supply end is grounded. The output end of the inverter is connected to the fourth resistor. The other end of the fourth resistor is connected to the positive electrode of the third diode. The negative electrode of the third diode is grounded.
4. An intelligent fusion splice closure according to claim 1, characterized in that, It further includes a voltage acquisition module and a current acquisition module. The voltage acquisition module and the current acquisition module are respectively connected to the control chip. The voltage acquisition module is used to acquire the voltage data of the internal circuit of the joint box, and the current acquisition module is used to acquire the current data at a specified position of the internal circuit of the joint box, and transmit the acquired voltage data and current data to the control chip. The control chip analyzes the voltage data and current data to determine whether the voltage and current are within the normal operating voltage and current ranges, and analyzes the abnormal positions inside the intelligent fusion joint box based on the current and voltage data at each specified position.
5. The intelligent fusion splice closure according to claim 1, wherein, An infrared image acquisition device is arranged at a specified position inside the housing. The infrared image acquisition is used to acquire the infrared image inside the intelligent fusion joint box and transmit the acquired infrared image to the control chip. The control chip identifies and analyzes the infrared image. Various infrared image data of the joint box with various abnormalities and the corresponding image features are preset inside the control chip. When the control chip makes an abnormality judgment on the joint box based on the infrared image, it first extracts the specified image features from the infrared image, and compares the extracted image features with the preset image features to determine whether there are abnormalities inside the joint box.
6. The intelligent fusion splice closure according to claim 5, characterized in that, The process of extracting the specified image features and comparing the features from the infrared image is as follows: Perform grayscale processing on the infrared image, create a feature extraction model, and the feature extraction model is a convolutional neural network. Train the feature extraction model with the labeled infrared images with abnormalities. A combined layer of a convolutional layer and a pooling layer is set in the feature extraction model. A convolutional kernel of a specified size is set in the convolutional layer. Slide the convolutional kernel on the infrared image, and generate a feature map based on the dot product operation. Each convolutional kernel extracts specified image features.