Optimization method and system for relaying transmission of DMX512 signals

Abstract

The present application relates to the technical field of signal relay transmission, and discloses a DMX512 signal relay transmission optimization method and system, the signal relay transmission optimization method is applied to a relay device, and specifically comprises the following steps: S101: receiving a signal transmission request sent by a signal delivery end, the signal transmission request carries signal data, decoding information of the signal data and an encoding format of the signal data; S102: obtaining the decoding information of the signal data, placing the decoding information in a system pre-set signal decoding model to complete matrix identification of the signal decoding model, and generating a signal data decoding model. The present application reduces the delay and loss of signals in the transmission process by optimizing the signal relay technology, ensures the stability and reliability of the signals, is particularly suitable for DMX512 signal transmission requiring long distance or complex network structure, and has automatic error checking and correction functions, so that the precise transmission of data content is achieved.

Description

Technical Field

[0001] This invention relates to the technical field of signal relay transmission, and more specifically, to a method and system for optimizing DMX512 signal relay transmission. Background Technology

[0002] With its simplicity, robustness, and versatility, the DMX512 has quickly become the mainstream way to connect controllers (such as lighting control consoles) to special effects devices such as dimmers, fog machines, and smart lights. Today, it has evolved into the standard for remotely controlling dimmers from the control console via a standard digital interface.

[0003] At the physical level, DMX512 uses EIA-485 differential signaling and combines it with a packet-based communication protocol with flexible size. However, it is worth noting that DMX512 does not include automatic error checking and correction functions. Therefore, when transmitting DMX512 signals over long distances or in complex network structures, the stability and reliability of the transmitted signals cannot be guaranteed. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for optimizing DMX512 signal relay transmission. By optimizing signal relay technology, it reduces signal delay and loss during transmission, ensuring signal stability and reliability. It is particularly suitable for DMX512 signal transmission that requires long distances or complex network structures, and has automatic error checking and correction functions. It aims to solve the problem that DMX512 does not include automatic error checking and correction functions in the prior art.

[0005] This invention is implemented as follows: a DMX512 signal relay transmission optimization method, applied to relay equipment, specifically includes the following steps: S101: Receive a signal transmission request sent by a signal transmission terminal, wherein the signal transmission request carries signal data, decoding information of the signal data, and encoding format of the signal data; S102: Obtain the decoding information of the signal data, place the decoding information in the system preset signal decoding model to complete the matrix recognition of the signal decoding model, and generate the signal data decoding model; S103: Obtain the signal text of the signal data, input the signal data into the generated signal data decoding model, obtain the signal recognition result output by the signal data decoding model based on the signal data, and obtain the content text of the signal data from the signal recognition result; S104: Identify abnormal text regions in the signal data. If an abnormal region is identified, send a collection command to the relay device acquisition end based on the abnormal region, so that the acquisition end can collect the abnormal region as the target abnormal feature according to the collection command; capture the data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature; integrate all collected target abnormal features and associated data of the target abnormal features to obtain a target abnormal feature set of the abnormal region; send the obtained target abnormal feature set to the signal transmission end, and the signal transmission end receives the target abnormal feature set and performs data parsing; the signal transmission end obtains the associated data of the target abnormal features in the target abnormal feature set, performs retrieval and position marking in the original signal data, then obtains the target abnormal features in the target abnormal feature set, compares them in the original signal data, updates the target abnormal features and feeds them back to the acquisition end; complete the update of the abnormal text regions in the signal data, generate the updated text of the signal data, and perform content denoising on the generated updated text of the signal data; S105: Obtain the encoding format of the signal data, place the encoding format of the signal data in the system's preset signal encoding model to complete the generation of the encoding matrix model, then encode the updated text of the denoised signal data again, amplify the encoded signal after the encoding is completed, and output the signal data of the updated text after the signal amplification is completed.

[0006] Furthermore, in S101, receiving the signal transmission request sent by the signal transmission end includes: The connection request is sent by the signal transmission terminal of the preset network reception device, and the connection request is used to request to establish a connection with the relay device; Detect whether the current account at the signal transmission end is the only target account; If the current account of the signal transmitting end is the unique target account, then a connection is established with the signal transmitting end according to the connection request. After the connection is established, the signal transmission request sent by the signal transmitting end is received.

[0007] Furthermore, the preset network includes one or a combination of 3G network, 4G network, 5G network, and WIFI network.

[0008] Further, in S102, the decoding information of the signal data is obtained, and the decoding information is placed in the system's preset signal decoding model to complete the matrix recognition of the signal decoding model, including: Obtain multiple signal decoding models and sort them according to the model matrix distribution; Obtain the decoding information of the signal data and input the decoding information into the signal decoding model ranked first.

[0009] Further, in S103, acquiring the signal text of the signal data and inputting the signal data into the generated signal data decoding model includes: In the data decoding model, a corresponding identification relationship with the signal data is pre-established; When the signal data decoding model determines that the signal data is identifiable and decodeable, the feature points corresponding to the signal data decoding model are retrieved from the pre-established correspondence between the signal data decoding model and the signal data. Obtain the set of feature points corresponding to the signal data decoding model, and output the signal recognition result.

[0010] Furthermore, in S104, if an abnormal region exists, an abnormal feedback signal is sent to the signal transmission end based on the abnormal region, including: If an abnormal region is identified, a collection instruction is sent to the collection terminal based on the abnormal region, so that the collection terminal can collect the abnormal region as the target abnormal feature according to the collection instruction. Data from both sides of the target anomaly features is captured to obtain the associated data of the target anomaly features; The set of target anomaly features for the anomaly region is obtained by integrating all collected target anomaly features and their associated data.

[0011] Furthermore, the abnormal feedback signal is used to identify the original data content text at the signal transmission end, correct the abnormal area, and generate updated text for the signal data, including: The target anomaly feature set is obtained and sent to the signal transmission end, which receives the target anomaly feature set and performs data parsing. The signal transmission end acquires the associated data of the target anomaly features in the target anomaly feature set, performs retrieval and location marking in the original signal data, then acquires the target anomaly features in the target anomaly feature set, compares them in the original signal data, updates the target anomaly features and feeds them back to the acquisition end; completes the update of the content text anomaly area of ​​the signal data, generates the updated text of the signal data, and performs content denoising on the generated updated text of the signal data.

[0012] Furthermore, in S105, the updated text of the denoised signal data is re-encoded, and after encoding, the encoded signal is amplified, including: Obtain the generated encoding matrix model, place the updated text of the signal data into the encoding matrix model for data encoding, and obtain the signal strength of the updated signal data after the encoding is completed. The signal strength of the updated signal data is placed in the system's preset signal strength recognition model for recognition, and the relative difference between the signal strength of the updated signal data and the system's preset signal strength is identified. The relative difference is sent to the compensation module to complete the signal compensation for the updated signal data.

[0013] Compared with the prior art, the DMX512 signal relay transmission optimization method and system provided by the present invention have the following beneficial effects: 1. To improve the transmission efficiency of DMX512 signals in complex network environments, the system optimizes signal relay technology to reduce signal delay and loss during transmission, ensuring signal stability and reliability. It is particularly suitable for DMX512 signal transmission that requires long distances or complex network structures, and has automatic error checking and correction functions. It compares the data with the original data at the signal transmission end, identifies abnormal data, and corrects and replaces it, thereby achieving accurate transmission of data content. 2. By decoding the signal data, the decoded signal data is then denoised and re-encoded. The encoded transmission ensures the integrity of the signal data. At the same time, signal compensation is performed on the re-encoded signal data to reduce data transmission loss, making it easier for the signal receiver to recognize and improving the stability of signal transmission.

[0014] A DMX512 signal relay transmission optimization system is used to execute the above-described signal relay transmission optimization method. The system includes: The receiving module is used to receive signal transmission requests sent by the signal transmitting end; The decoding module is used to generate a signal data decoding model; The recognition module is used to obtain the signal recognition result output by the signal data decoding model based on the signal data, and to obtain the content text of the signal data from the signal recognition result; The correction module is used to identify abnormal text regions in the signal data. If an abnormal region is identified, it sends a collection command to the relay device's acquisition end based on the abnormal region, so that the acquisition end can collect the abnormal region as the target abnormal feature according to the collection command. It then captures data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature. All collected target abnormal features and their associated data are integrated to obtain a set of target abnormal features for the abnormal region. The acquired set of target abnormal features is sent to the signal transmission end, which receives the set and parses the data. The signal transmission end obtains the associated data of the target abnormal features in the set of target abnormal features, performs retrieval and position marking in the original signal data, then obtains the target abnormal features in the set of target abnormal features, compares them with the original signal data, updates the target abnormal features, and feeds them back to the acquisition end. This completes the update of the abnormal text regions in the signal data and generates updated text for the signal data. The encoding module is used to place the encoding format of the signal data into the system's preset signal encoding model to complete the generation of the encoding matrix model, and then re-encode the updated text of the denoised signal data. The processing module is used to amplify the encoded signal data, and after the signal amplification is completed, it outputs the updated text signal data.

[0015] Specifically, the correction module includes: The acquisition end is used to receive acquisition instructions and acquire abnormal areas as target abnormal features according to the acquisition instructions. It also captures data on both sides of the target abnormal features to obtain the associated data of the target abnormal features. Anomaly elimination unit is used to acquire target anomaly features from the target anomaly feature set, compare them with the original signal data, update the target anomaly features and feed them back to the acquisition end; The data generation unit is used to update the abnormal text areas of the signal data and generate updated text for the signal data. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the DMX512 signal relay transmission optimization method proposed in this invention. Figure 2 This is a flowchart illustrating the process of inputting the signal data into the generated signal data decoding model in the DMX512 signal relay transmission optimization method proposed in this invention. Figure 3 This is a schematic diagram of the structure of the DMX512 signal relay transmission optimization system proposed in this invention; Figure 4 This is a schematic diagram of the correction module in the DMX512 signal relay transmission optimization system proposed in this invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0018] The implementation of the present invention will be described in detail below with reference to specific embodiments.

[0019] In the accompanying drawings of this embodiment, the same or similar reference numerals correspond to the same or similar components. In the description of this invention, it should be understood that if terms such as "upper," "lower," "left," and "right" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting this invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0020] Reference Figure 1-2 As shown, the DMX512 signal relay transmission optimization method, applied to relay equipment, specifically includes the following steps: S101: Receives a signal transmission request sent by the signal transmission end. The signal transmission request carries signal data, decoding information of the signal data, and encoding format of the signal data. The signal transmission request sent by the receiving signal transmission end includes: The connection request is sent by the signal transmission end through the preset network reception. The connection request is used to request to establish a connection with the relay device. Check whether the current account at the signal transmission end is the only target account; If the current account of the signal transmitter is the only target account, then connect to the signal transmitter according to the connection request, and after the connection is completed, receive the signal transmission request sent by the signal transmitter. S102: Obtain the decoding information of the signal data, place the decoding information into the system's preset signal decoding model to complete the matrix recognition of the signal decoding model, and generate the signal data decoding model; This includes acquiring the decoding information of the signal data, placing the decoding information into the system's preset signal decoding model to complete the matrix recognition of the signal decoding model, including: Obtain multiple signal decoding models and sort them according to the model matrix distribution; Obtain the decoding information of the signal data and input the decoding information into the signal decoding model ranked first; S103: Obtain the signal text of the signal data, input the signal data into the generated signal data decoding model, obtain the signal recognition result output by the signal data decoding model based on the signal data, and obtain the content text of the signal data from the signal recognition result; This includes acquiring the signal text of the signal data and inputting the signal data into the generated signal data decoding model, including: In the data decoding model, a corresponding identification relationship with the signal data is pre-established; When the signal data decoding model determines that the signal data is identifiable and decodeable, it retrieves the feature points corresponding to the signal data decoding model from the pre-established correspondence between the signal data decoding model and the signal data. Obtain the set of feature points corresponding to the signal data decoding model and complete the signal recognition result output; S104: Identify abnormal text regions in the signal data. If an abnormal region is identified, send a collection command to the relay device's acquisition end based on the abnormal region, so that the acquisition end can collect the abnormal region as the target abnormal feature according to the collection command; capture the data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature; integrate all collected target abnormal features and their associated data to obtain a set of target abnormal features for the abnormal region; send the obtained set of target abnormal features to the signal transmission end, which receives the set of target abnormal features and performs data parsing; the signal transmission end obtains the associated data of the target abnormal features in the set of target abnormal features, performs retrieval and position marking in the original signal data, then obtains the target abnormal features in the set of target abnormal features, compares them with the original signal data, updates the target abnormal features, and feeds them back to the acquisition end; complete the update of the abnormal text regions in the signal data, generate updated text for the signal data, and perform content denoising on the generated updated text for the signal data; S105: Obtain the encoding format of the signal data, place the encoding format of the signal data into the system's preset signal encoding model to complete the generation of the encoding matrix model, then encode the updated text of the denoised signal data again, amplify the encoded signal after the encoding is completed, and output the signal data of the updated text after the signal amplification is completed. The process involves re-encoding the updated text of the denoised signal data, followed by amplification of the encoded signal, including: Obtain the generated encoding matrix model, place the updated text of the signal data into the encoding matrix model for data encoding, and obtain the signal strength of the updated signal data after the encoding is completed. The signal strength of the updated signal data is placed in the system's preset signal strength recognition model for recognition, and the relative difference between the signal strength of the updated signal data and the system's preset signal strength is identified. The relative difference is sent to the compensation module to complete the signal compensation for the updated signal data. By decoding the signal data, the decoded signal data is denoised and then encoded. The encoded transmission ensures the integrity of the signal data. At the same time, the re-encoded signal data is compensated to reduce the loss of data transmission, making it easier for the signal receiver to recognize and improving the stability of signal transmission.

[0021] In this embodiment, the preset network includes one or a combination of 3G network, 4G network, 5G network, and WIFI network.

[0022] This technical solution is used to improve the transmission efficiency of DMX512 signals in complex network environments. The system optimizes signal relay technology to reduce signal delay and loss during transmission, ensuring signal stability and reliability. It is particularly suitable for DMX512 signal transmission that requires long distances or complex network structures. It also has automatic error checking and correction functions, which compare the data with the original data at the signal transmission end, identify abnormal data, and correct and replace it, thereby achieving accurate transmission of data content. Reference Figure 3-4 As shown, the DMX512 signal relay transmission optimization system is used to execute the above-mentioned signal relay transmission optimization method. The system includes: a receiving module for receiving signal transmission requests sent by the signal transmission end; a decoding module for generating a signal data decoding model; an identification module for obtaining the signal identification result output by the signal data decoding model based on the signal data, and obtaining the content text of the signal data from the signal identification result; a correction module for identifying abnormal regions in the content text of the signal data, and if an abnormal region is identified, sending a collection command to the relay device acquisition end according to the abnormal region, so that the acquisition end collects the abnormal region as the target abnormal feature according to the collection command; capturing the data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature; integrating all collected target abnormal features and associated data of the target abnormal features to obtain the target abnormal feature set of the abnormal region; sending the obtained target abnormal feature set to the signal transmission end, and the signal transmission end receiving the target abnormal feature set for data parsing; the signal transmission end obtaining the target abnormal feature set from the target abnormal feature set. The system retrieves and marks the associated data of target anomalies in the original signal data, then obtains target anomalies from the target anomaly feature set, compares them with the original signal data, updates the target anomalies, and feeds them back to the acquisition end; it updates the abnormal areas of the signal data content text and generates updated text for the signal data; the encoding module places the signal data encoding format into the system's preset signal encoding model to generate the encoding matrix model, and then re-encodes the updated text of the denoised signal data; the processing module amplifies the encoded signal data, and outputs the updated text signal data after amplification. The system optimizes signal relay technology to reduce signal delay and loss during transmission, ensuring signal stability and reliability. It is particularly suitable for DMX512 signal transmission that requires long distances or complex network structures, and has automatic error checking and correction functions. It compares the data with the original data at the signal transmission end, identifies abnormal data, and corrects and replaces it, thereby achieving accurate transmission of data content.

[0023] In this embodiment, the correction module includes: a data acquisition unit, used to receive acquisition instructions, acquire abnormal regions as target abnormal features according to the acquisition instructions, capture data on both sides of the target abnormal features, and obtain the associated data of the target abnormal features; an anomaly elimination unit, used to acquire target abnormal features from the target abnormal feature set, compare them with the original signal data, update the target abnormal features, and feed them back to the acquisition unit; and a data generation unit, used to complete the update of the abnormal regions of the content text of the signal data, generate the updated text of the signal data, and has automatic error checking and correction functions. It compares the updated text with the original data of the signal transmission end, identifies abnormal data, and corrects and replaces it, thereby achieving accurate transmission of data content. This technical solution decodes the signal data, thereby denoising the decoded signal data, and then re-encodes it. The encoded transmission ensures the integrity of the signal data, and at the same time, it performs signal compensation on the re-encoded signal data to reduce data transmission loss, making it easier for the signal receiver to recognize and improving the stability of signal transmission.

[0024] In this embodiment, the entire operation process can be controlled by a computer. By setting up sensors for signal feedback, the steps can be carried out sequentially. These are all conventional knowledge in current automation control, and will not be elaborated on in this embodiment.

[0025] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optimizing DMX512 signal relay transmission, characterized in that, When applied to relay equipment, the specific steps include: S101: Receive a signal transmission request sent by a signal transmission terminal, wherein the signal transmission request carries signal data, decoding information of the signal data, and encoding format of the signal data; S102: Obtain the decoding information of the signal data, place the decoding information in the system preset signal decoding model to complete the matrix recognition of the signal decoding model, and generate the signal data decoding model; S103: Obtain the signal text of the signal data, input the signal data into the generated signal data decoding model, obtain the signal recognition result output by the signal data decoding model based on the signal data, and obtain the content text of the signal data from the signal recognition result; S104: Identify abnormal text regions in the signal data. If an abnormal region is identified, send a collection command to the relay device acquisition terminal based on the abnormal region, so that the acquisition terminal can collect the abnormal region as the target abnormal feature according to the collection command; capture the data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature. The set of target anomaly features for the anomaly region is obtained by integrating all collected target anomaly features and their associated data. The target anomaly feature set is obtained and sent to the signal transmission end, which receives the target anomaly feature set and performs data parsing. The signal transmission end acquires the associated data of the target abnormal features in the target abnormal feature set, performs retrieval and location marking in the original signal data, then acquires the target abnormal features in the target abnormal feature set, compares them in the original signal data, updates the target abnormal features and feeds them back to the acquisition end; Complete the update of abnormal regions in the content text of the signal data, generate the updated text of the signal data, and perform content denoising on the generated updated text of the signal data; S105: Obtain the encoding format of the signal data, place the encoding format of the signal data in the system's preset signal encoding model to complete the generation of the encoding matrix model, then encode the updated text of the denoised signal data again, amplify the encoded signal after the encoding is completed, and output the signal data of the updated text after the signal amplification is completed.

2. The DMX512 signal relay transmission optimization method as described in claim 1, characterized in that, In S101, the signal transmission request sent by the receiving signal transmission end includes: The connection request is sent by the signal transmission terminal of the preset network reception device, and the connection request is used to request to establish a connection with the relay device; Detect whether the current account at the signal transmission end is the only target account; If the current account of the signal transmitting end is the unique target account, then a connection is established with the signal transmitting end according to the connection request. After the connection is established, the signal transmission request sent by the signal transmitting end is received.

3. The DMX512 signal relay transmission optimization method as described in claim 2, characterized in that, The preset network includes one or a combination of 3G network, 4G network, 5G network, and WIFI network.

4. The DMX512 signal relay transmission optimization method as described in claim 3, characterized in that, In S102, the decoding information of the signal data is obtained, and the decoding information is placed in the system's preset signal decoding model to complete the matrix recognition of the signal decoding model, including: Obtain multiple signal decoding models and sort them according to the model matrix distribution; Obtain the decoding information of the signal data and input the decoding information into the signal decoding model ranked first.

5. The DMX512 signal relay transmission optimization method as described in claim 4, characterized in that, In S103, the signal text of the signal data is acquired, and the signal data is input into the generated signal data decoding model, including: In the data decoding model, a corresponding identification relationship with the signal data is pre-established; When the signal data decoding model determines that the signal data is identifiable and decodeable, the feature points corresponding to the signal data decoding model are retrieved from the pre-established correspondence between the signal data decoding model and the signal data. Obtain the set of feature points corresponding to the signal data decoding model, and output the signal recognition result.

6. The DMX512 signal relay transmission optimization method as described in claim 5, characterized in that, In S105, the updated text of the denoised signal data is re-encoded, and after encoding, the encoded signal is amplified, including: Obtain the generated encoding matrix model, place the updated text of the signal data into the encoding matrix model for data encoding, and obtain the signal strength of the updated signal data after the encoding is completed. The signal strength of the updated signal data is placed in the system's preset signal strength recognition model for recognition, and the relative difference between the signal strength of the updated signal data and the system's preset signal strength is identified. The relative difference is sent to the compensation module to complete the signal compensation for the updated signal data.

7. A DMX512 signal relay transmission optimization system, characterized in that, The system is used to perform the signal relay transmission optimization method according to any one of claims 1-6, the system comprising: The receiving module is used to receive signal transmission requests sent by the signal transmitting end; The decoding module is used to generate a signal data decoding model; The recognition module is used to obtain the signal recognition result output by the signal data decoding model based on the signal data, and to obtain the content text of the signal data from the signal recognition result; The correction module is used to identify abnormal text regions in the signal data. If an abnormal region is identified, it sends a collection command to the relay device's acquisition end based on the abnormal region, so that the acquisition end can collect the abnormal region as the target abnormal feature according to the collection command. It then captures data on both sides of the target abnormal feature to obtain the associated data of the target abnormal feature. All collected target abnormal features and their associated data are integrated to obtain a set of target abnormal features for the abnormal region. The acquired set of target abnormal features is sent to the signal transmission end, which receives the set and parses the data. The signal transmission end obtains the associated data of the target abnormal features in the set of target abnormal features, performs retrieval and position marking in the original signal data, then obtains the target abnormal features in the set of target abnormal features, compares them with the original signal data, updates the target abnormal features, and feeds them back to the acquisition end. This completes the update of the abnormal text regions in the signal data and generates updated text for the signal data. The encoding module is used to place the encoding format of the signal data into the system's preset signal encoding model to complete the generation of the encoding matrix model, and then re-encode the updated text of the denoised signal data. The processing module is used to amplify the encoded signal data, and after the signal amplification is completed, it outputs the updated text signal data.

8. The DMX512 signal relay transmission optimization system as described in claim 7, characterized in that, The correction module includes: The acquisition end is used to receive acquisition instructions and acquire abnormal areas as target abnormal features according to the acquisition instructions. It also captures data on both sides of the target abnormal features to obtain the associated data of the target abnormal features. Anomaly elimination unit is used to acquire target anomaly features from the target anomaly feature set, compare them with the original signal data, update the target anomaly features and feed them back to the acquisition end; The data generation unit is used to update the abnormal text areas of the signal data and generate updated text for the signal data.

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