A multi-signal adaptive recognition and intelligent error correction decoding control system

Abstract

The utility model provides a kind of decoding control system of multiple signal self-adapting identification and intelligent error correction, it is related to signal decoding control technical field, comprising: signal preprocessing module: for receiving input signal and carrying out intensity adjustment and anti-interference processing;Core control module: connection signal preprocessing module, for generating the control instruction of on-off quantity signal, pulse signal and analog signal;Feedback monitoring module: connection core control module, the state signal of external equipment is collected in real time by input sampling channel. This kind of device passes through signal preprocessing module optimization input signal quality, core control module realizes the multiple type output of on-off quantity, pulse signal and analog quantity, feedback monitoring module detects equipment state in real time and triggers self-adapting correction, this system integrates signal processing and closed-loop control function, supports industrial standard protocol, improves control precision and reliability in automation scene, applicable to intelligent manufacturing, internet of things and other fields.

Description

Technical Field

[0001] This utility model relates to the field of signal decoding control technology, specifically a decoding control system for multi-signal adaptive recognition and intelligent error correction. Background Technology

[0002] With the rapid development of industrial automation and IoT technologies, fields such as smart manufacturing, smart agriculture, and smart logistics are placing higher demands on the control precision and system reliability of equipment. In industrial production lines, smart greenhouses, and logistics sorting systems, it is often necessary to control multiple types of actuators simultaneously. For example, this might involve controlling equipment start / stop via digital signals, adjusting motor speed with pulse signals, or achieving precise temperature or humidity regulation through analog outputs. Such scenarios require control systems with multi-signal compatibility, anti-interference capabilities, and real-time feedback and error correction functions to ensure stable operation in complex environments.

[0003] However, in existing technologies, traditional control systems often employ discrete modules to control different signal types, such as independently configuring switch controllers, pulse generators, and analog output modules. This discrete design leads to hardware redundancy, system complexity, and high costs, and has the following drawbacks: First, signal transmission is susceptible to electromagnetic noise interference, resulting in distorted control commands or execution deviations. Second, existing systems lack a closed-loop feedback mechanism, making it impossible to monitor equipment status in real time and dynamically adjust parameters. For example, when pulse signals are lost or analog quantities exceed limits, manual intervention is required, increasing downtime risks and reducing maintenance efficiency. Utility Model Content

[0004] The present invention aims to address the shortcomings of the prior art by providing a decoding control system for multi-signal adaptive recognition and intelligent error correction. This system reduces noise through a preprocessing module and provides feedback correction through a feedback monitoring module to prevent errors.

[0005] To achieve the above objectives, this utility model provides the following technical solution: a decoding control system for multi-signal adaptive recognition and intelligent error correction, comprising: a signal preprocessing module for receiving input signals and performing intensity adjustment and anti-interference processing; a core control module connected to the signal preprocessing module for generating control commands for switch signals, pulse signals, and analog signals; and a feedback monitoring module connected to the core control module for real-time acquisition of status signals from external devices through an input sampling channel, comparing them with preset parameters, and triggering an adaptive error correction program.

[0006] Furthermore, the core control module includes: a digital output unit providing 16 independent control channels (0-01 to 0-16), each channel supporting switching between high level (24V) and low level (0V); a pulse signal generation unit supporting a frequency adjustment range of 0Hz to 40Hz with an adjustment step of 10Hz, a duty cycle adjustment range of 0% to 100% with an adjustment step of 10%, and a pulse width configurable from 250μs to 1500μs; and an analog output unit outputting a linearly adjustable analog voltage signal with an adjustment range of 0V to 10V, corresponding to a value of 0 to 255.

[0007] Furthermore, the feedback monitoring module includes: four pulse input sampling channels: used to collect pulse feedback signals from external devices in real time. When pulse loss, frequency deviation exceeding ±5%, duty cycle deviation exceeding ±10%, or analog output exceeding limits are detected, the output parameters of the core control module are automatically corrected or the abnormal channel is restarted.

[0008] Furthermore, the signal preprocessing module includes: a signal source selection unit that supports switching between at least one input source, such as RS-485, CAN bus, and wireless signal; a signal strength adjustment unit that provides adjustment levels from 0.1 to 20, with each level corresponding to a signal amplification factor of 0.5 to 2.0; and an anti-interference unit that sets interference values ​​from 1 to 5 levels, each corresponding to a digital filtering algorithm of different strengths.

[0009] Furthermore, the pulse signal generation unit achieves independent adjustment of frequency and duty cycle through a PWM controller, and supports parameterized configuration of pulse width.

[0010] Furthermore, the system also includes: a graphical user interface for parameter configuration and status monitoring; and a wireless communication module that supports Bluetooth and Wi-Fi protocols for remote interaction with smart terminals or host computers.

[0011] Furthermore, the adaptive error correction procedure includes the following steps:

[0012] Step S1: Acquire device status signals in real time through the input sampling channel;

[0013] Step S2: Compare and analyze the acquired signal with the preset parameters;

[0014] Step S3: If a deviation is detected, automatically adjust the output parameters or trigger an alarm.

[0015] This invention provides a decoding control system for multi-signal adaptive recognition and intelligent error correction, which has the following beneficial effects:

[0016] The advantages of this invention lie in its optimization of input signal quality through a signal preprocessing module, the realization of multiple output types (digital, pulse, and analog) through a core control module, and the real-time detection of equipment status and triggering adaptive error correction by a feedback monitoring module. This system integrates signal processing and closed-loop control functions, supports industrial standard protocols, improves control accuracy and reliability in automation scenarios, and is suitable for fields such as intelligent manufacturing and the Internet of Things. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall structure of this utility model.

[0018] Figure 2 This is a schematic diagram of the signal flow of this utility model.

[0019] Figure 3 This is a schematic diagram of the correction procedure of this utility model.

[0020] Figure 4 This is a schematic diagram of the graphical control panel of this utility model. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0022] The following disclosure provides many different embodiments or examples for implementing different structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. Of course, these are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, various specific examples of processes and materials are provided in this application, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0023] This application provides a decoding control system for multi-signal adaptive recognition and intelligent error correction. This system optimizes input signal quality through a signal preprocessing module, enables multiple output types (switching, pulse, and analog) through a core control module, and monitors equipment status in real time to trigger adaptive error correction. The system integrates signal processing and closed-loop control functions, supports industrial standard protocols, and improves control accuracy and reliability in automation scenarios. It is suitable for fields such as intelligent manufacturing and the Internet of Things. The following provides a detailed description of this multi-signal adaptive recognition and intelligent error correction decoding control system. It should be noted that the order of description in the following embodiments is not intended to limit the preferred order of the embodiments.

[0024] The present application will now be described in detail with reference to the accompanying drawings and specific embodiments. Example 1

[0025] Please see Figure 1-4 This embodiment provides a decoding control system for multi-signal adaptive recognition and intelligent error correction, comprising: a signal preprocessing module for receiving input signals and performing intensity adjustment and anti-interference processing; a core control module connected to the signal preprocessing module for generating control commands for switch signals, pulse signals, and analog signals; and a feedback monitoring module connected to the core control module for real-time acquisition of status signals from external devices through an input sampling channel, comparing them with preset parameters, and triggering an adaptive error correction program.

[0026] The core control module includes: a digital output unit providing 16 independent control channels (0-01 to 0-16), each channel supporting switching between high level (24V) and low level (0V); a pulse signal generation unit supporting a frequency adjustment range of 0Hz to 40Hz with an adjustment step of 10Hz, a duty cycle adjustment range of 0% to 100% with an adjustment step of 10%, and a pulse width configurable from 250μs to 1500μs; and an analog output unit outputting a linearly adjustable analog voltage signal with an adjustment range of 0V to 10V, corresponding to a value of 0 to 255.

[0027] The feedback monitoring module includes: four pulse input sampling channels: used to collect pulse feedback signals from external devices in real time. When pulse loss, frequency deviation exceeding ±5%, duty cycle deviation exceeding ±10%, or analog output exceeding limits are detected, the output parameters of the core control module are automatically corrected or the abnormal channel is restarted.

[0028] Hardware configuration:

[0029] The signal preprocessing module receives the RS-485 signal from the industrial sensor, with the intensity level set to 15 (amplification factor 1.8) and the anti-interference level set to 3 (medium intensity filtering).

[0030] The core control module connects to the robotic arm (switching channel 0-05), the servo motor (pulse signal PO-04), and the heater (analog output).

[0031] The feedback monitoring module monitors the servo motor pulse signal in real time via PULSE-IN-02;

[0032] Workflow:

[0033] Signal Input and Preprocessing: The industrial sensor transmits the temperature signal to the signal preprocessing module via the RS-485 interface; the signal strength adjustment unit amplifies the signal to 1.8 times; and the anti-interference unit uses a medium-intensity digital filtering algorithm to suppress electromagnetic noise in the workshop.

[0034] Core control command generation: Switch output unit: Channel 0-05 outputs a high level (24V) to start the robotic arm to perform the grasping action; Pulse signal generation unit: Channel PO-04 is configured with a frequency of 30Hz, a duty cycle of 70%, and a pulse width of 1000μs to drive the servo motor to run at the set speed; Analog output unit: Output value 200 (corresponding to 7.84V) to adjust the heater temperature to 120℃.

[0035] Real-time monitoring and error correction: PULSE-IN-02 continuously collects the pulse feedback signal of the servo motor; if pulse loss is detected (e.g., due to poor line contact), the system automatically restarts the PO-04 channel and triggers a red alarm on the graphical interface; if the analog output value exceeds 240 (9.41V), the overload protection program is triggered, the output is reset to 150 (5.88V), and an alarm is sent to the administrator's mobile phone via the wireless module.

[0036] The above implementation process achieves integrated control: multi-device collaboration is realized through a single system, reducing hardware redundancy; closed-loop stability: a real-time error correction mechanism ensures continuous operation of the production line. Example 2

[0037] Based on Example 1, the signal preprocessing module includes: a signal source selection unit that supports switching between at least one input source, such as RS-485, CAN bus, and wireless signal; a signal strength adjustment unit that provides adjustment levels from 0.1 to 20, with each level corresponding to a signal amplification factor of 0.5 to 2.0; and an anti-interference unit that sets interference values ​​from 1 to 5, each corresponding to a digital filtering algorithm of different strengths.

[0038] The pulse signal generation unit uses a PWM controller to independently adjust the frequency and duty cycle, and supports parameterized configuration of the pulse width.

[0039] Hardware configuration:

[0040] The signal preprocessing module receives signals from the wireless temperature and humidity sensor, sets the intensity level to 10 (amplification factor 1.2), and the anti-interference level to 2 (basic filtering).

[0041] The core control module is connected to the supplementary light (pulse signal PO-03), ventilation fan (switching quantity 0-01), and humidity regulator (analog output).

[0042] Workflow:

[0043] Signal input and preprocessing: The wireless sensor collects temperature and humidity data and transmits it to the signal preprocessing module; the signal strength adjustment unit amplifies the signal to 1.2 times; and the anti-interference unit filters radio frequency interference signals in the greenhouse.

[0044] Core control command generation: Switch output unit: Channel 0-01 outputs high level (24V) to start the ventilation fan; Pulse signal generation unit: Channel PO-03 is configured with a frequency of 10Hz, a duty cycle of 50%, and a pulse width of 500μs to adjust the brightness of the fill light.

[0045] Analog output unit: Output value 100 (3.92V), controls the humidity regulator to 60%RH.

[0046] Real-time monitoring and error correction: If the duty cycle deviation of the supplementary light is detected to exceed ±10%, the system will automatically adjust the PO-03 output to the target value; if the humidity sensor signal is abnormal, switch to the backup sensor and prompt "Signal abnormal, activate backup source".

[0047] The above process enables an intelligent greenhouse control system that improves the device's anti-interference capabilities, effectively suppresses environmental noise through a graded filtering algorithm, and provides precise adjustment functionality with parameterized pulse signal configuration to meet diverse control needs. Example 3

[0048] Based on Embodiment 1, the system further includes: a graphical user interface for parameter configuration and status monitoring; and a wireless communication module that supports Bluetooth and Wi-Fi protocols for remote interaction with smart terminals or host computers.

[0049] The adaptive error correction program includes the following steps: Step S1: Real-time acquisition of device status signals through the input sampling channel; Step S2: Comparison and analysis of the acquired signals with preset parameters; Step S3: If a deviation is detected, automatic adjustment of output parameters or triggering of an alarm.

[0050] Hardware configuration:

[0051] The signal preprocessing module receives the CAN bus sorting sensor signal, sets the intensity level to 12 (amplification factor 1.5), and sets the anti-interference level to 4 (high-intensity filtering).

[0052] The core control module is connected to the conveyor belt motor (pulse signal PO-02) and the sorting robot arm (switch quantity 0-12).

[0053] The graphical interface displays real-time data, and the wireless module allows for remote interaction with the host computer.

[0054] Workflow:

[0055] Signal input and preprocessing: The sorting sensor transmits the package position signal to the signal preprocessing module via the CAN bus; the signal strength adjustment unit amplifies the signal to 1.5 times, and the anti-interference unit uses a high-intensity filtering algorithm to suppress high-frequency noise from the sorting machine.

[0056] Core control command generation: Switch output unit: Channels 0-12 output high level (24V) to start the sorting robot arm; Pulse signal generation unit: Channel PO-02 is configured with a frequency of 20Hz, a duty cycle of 80%, and a pulse width of 750μs to control the conveyor belt speed.

[0057] Real-time monitoring and error correction: The graphical interface displays the conveyor belt pulse frequency and the status of the robotic arm; if a frequency deviation of 25Hz (preset 20Hz) is detected, the system automatically adjusts PO-02 to the target frequency; if the robotic arm signal is abnormal, an emergency stop is triggered and an alarm is sent to the host computer via Wi-Fi.

[0058] The above configuration enables remote management, allowing the wireless communication module to support remote monitoring and alarms, while also improving operational convenience by providing a graphical interface to simplify parameter configuration and status viewing.

[0059] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0060] The foregoing has provided a detailed description of a multi-signal adaptive recognition and intelligent error correction decoding control system provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the technical solutions and core ideas of this application. Those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A multi-signal adaptive recognition and intelligent error correction decoding control system, characterized in that, include: Signal preprocessing module: used to receive input signals and perform intensity adjustment and anti-interference processing; Core control module: Connected to the signal preprocessing module, used to generate control commands for switch signals, pulse signals, and analog signals; Feedback monitoring module: Connected to the core control module, it collects status signals from external devices in real time through the input sampling channel, compares them with preset parameters, and triggers an adaptive error correction program.

2. The multi-signal adaptive recognition and intelligent error correction decoding control system of claim 1, wherein, The core control module includes: Digital output unit: provides 16 independent control channels 0-01 to 0-16, each channel supports switching between high level 24V and low level 0V; Pulse signal generation unit: supports frequency adjustment range of 0Hz to 40Hz with adjustment step of 10Hz, duty cycle adjustment range of 0% to 100% with adjustment step of 10%, and pulse width can be configured from 250μs to 1500μs. Analog output unit: Outputs a linearly adjustable analog voltage signal with an adjustment range of 0V to 10V, corresponding to a value of 0 to 255.

3. The multi-signal adaptive recognition and intelligent error correction decoding control system of claim 2, wherein, The feedback monitoring module includes: Four-channel pulse input sampling: Used to acquire pulse feedback signals from external devices in real time. When pulse loss, frequency deviation exceeding ±5%, duty cycle deviation exceeding ±10%, or analog output exceeding limits are detected, the output parameters of the core control module are automatically corrected or the abnormal channel is restarted.

4. The multi-signal adaptive recognition with intelligent error correction decoding control system of claim 1, wherein, The signal preprocessing module includes: Signal source selection unit: Supports switching between at least one input source, including RS-485, CAN bus, and wireless signals; Signal strength adjustment unit: provides adjustment levels from 0.1 to 20, with each level corresponding to a signal amplification factor of 0.5 to 2.0; Anti-interference unit: By setting interference values ​​from 1 to 5, each corresponds to a digital filtering algorithm of different strengths.

5. The multi-signal adaptive recognition with intelligent error correction decoding control system of claim 2, wherein, The pulse signal generation unit achieves independent adjustment of frequency and duty cycle through a PWM controller and supports parameterized configuration of pulse width.

6. The multi-signal adaptive recognition with intelligent error correction decoding control system of claim 1, wherein, The system also includes: Graphical user interface: used for parameter configuration and status monitoring; Wireless communication module: Supports Bluetooth and Wi-Fi protocols for remote interaction with smart terminals or host computers.

7. The multi-signal adaptive recognition with intelligent error correction decoding control system of claim 1, wherein, The adaptive error correction procedure includes the following steps: Step S1: Acquire device status signals in real time through the input sampling channel; Step S2: Compare and analyze the acquired signal with the preset parameters; Step S3: If a deviation is detected, automatically adjust the output parameters or trigger an alarm.

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