A multi-dimensional state monitoring and intelligent early warning method for photoelectric turntable

By collecting multi-dimensional status data and identifying graded risks, the problems of false alarms and missed alarms in the status monitoring of photoelectric turntables have been solved, and efficient fault identification and equipment protection have been achieved.

CN122306153APending Publication Date: 2026-06-30XIAN DYNOK AVIATION TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN DYNOK AVIATION TECHNOLOGY CO LTD
Filing Date
2026-04-08
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing photoelectric turntable status monitoring lacks multi-dimensional data collection and has a single early warning logic, leading to false alarms or missed alarms and failing to prevent equipment failures in advance.

Method used

The multi-dimensional status data acquisition module collects five types of core status data of the turntable in real time, and uses a hierarchical risk identification model to determine risks and output differentiated early warnings and emergency responses.

Benefits of technology

It achieved a 95% increase in fault identification coverage, a false alarm rate of less than 2%, a 60% increase in operation and maintenance efficiency, and a 30% extension in equipment lifespan.

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Abstract

This invention discloses a multi-dimensional status monitoring and intelligent early warning method for an optoelectronic turntable, comprising the following steps: Step 1: A multi-dimensional status data acquisition module: acquiring five core status data of the turntable in real time through a standardized communication interface; Step 2: A graded risk intelligent identification module: classifying risks into four levels based on the acquired data and preset thresholds using a multi-dimensional risk judgment model; Step 3: A graded intelligent early warning and emergency response module: outputting differentiated early warning and response strategies for different risk levels. This invention's multi-dimensional status acquisition covers the entire operation chain of the turntable, increasing fault identification coverage to over 95% compared to single-parameter monitoring, avoiding missed detections; graded risk identification and early warning reduce the false alarm rate caused by single-parameter fluctuations to below 2%, while achieving accurate fault location and improving operation and maintenance efficiency by 60%; the automatic emergency response function allows for rapid shutdown to protect equipment in emergency situations, reducing fault losses and extending equipment lifespan by 30%.
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Description

Technical Field

[0001] This invention belongs to the field of safety management and control technology for photoelectric tracking equipment, specifically relating to a method for multi-dimensional status monitoring and intelligent early warning of a photoelectric turntable. Background Technology

[0002] Existing photoelectric turntable status monitoring systems mostly focus on single parameters (such as motor temperature), lacking comprehensive monitoring of turntable attitude, transmission load, and sensor status. Furthermore, early warnings are often based on simple logic of "alarm upon exceeding a threshold," lacking tiered warning systems and emergency responses, easily leading to false alarms or missed alarms, and failing to prevent equipment failures in advance. Therefore, this invention designs a multi-dimensional status monitoring and intelligent early warning method for photoelectric turntables to address the above problems. Summary of the Invention

[0003] The purpose of this invention is to provide a method for multi-dimensional status monitoring and intelligent early warning of photoelectric turntables, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable, comprising step one: a multi-dimensional status data acquisition module: through a standardized communication interface, real-time acquisition of five types of core status data of the turntable, including drive system data, attitude operation data, transmission system data, sensor status data, and environmental impact data; Step 2: Tiered Risk Intelligent Identification Module: Through a multi-dimensional risk assessment model, based on collected data and preset thresholds, risks are divided into four levels: "Normal - Warning - Alarm - Emergency". Step 3: Tiered Intelligent Early Warning and Emergency Response Module: The software outputs differentiated early warning and response strategies for different risk levels.

[0005] Preferably, in step one, the drive system data includes: motor temperature (T_m), motor operating current (I_m), and driver voltage (U_d), with a sampling frequency of 10Hz; Attitude operation data: turntable horizontal / pitch angular velocity (ω_h / ω_p), actual angle deviation (Δθ_real), acquisition frequency 20Hz; Transmission system data: Harmonic reducer operating noise (N_r), transmission load torque (T_load), sampling frequency 5Hz; Sensor status data: photoelectric sensor (visible light / infrared) signal strength (S_s), data transmission delay (t_delay), acquisition frequency 1Hz; Environmental impact data: ambient temperature (T_env) and vibration acceleration (a_vib) of the turntable, collected at a frequency of 5Hz.

[0006] Preferably, in step one, the data acquisition delay is ≤50ms, and automatic marking of abnormal data (such as data interruption or values ​​exceeding the physical range) is supported to ensure data validity.

[0007] Preferably, in step two, the four-level segments include: Normal level: all parameters are within the safety threshold (e.g., T_m≤50℃, I_m≤80% of rated current, S_s≥80dB), with no risk warning; Warning level: A single non-core parameter is close to the threshold (e.g., T_m=55℃ < threshold 60℃, a_vib=0.2g < threshold 0.3g), which is judged as a potential risk; Alarm level: If a single core parameter exceeds the threshold or two non-core parameters are close to the threshold (e.g., T_m=62℃>60℃, I_m=95% of rated current+N_r=65dB>60dB), it is judged as a minor fault risk; Emergency Level: Core parameters severely exceed thresholds or multiple parameters are abnormal (e.g., T_m=70℃, I_m=120% of rated current, S_s=50dB<60dB), which is judged as a serious fault risk.

[0008] Preferably, in step three, the early warning level is: a pop-up window is displayed on the software interface (such as "Motor temperature is approaching the threshold, please pay attention"), and the trend of parameter changes is recorded at the same time, without the need to intervene in the operation of the turntable; Alarm level: Pop-up window + audible and visual warning (buzzer sounds + indicator light flashes yellow), automatically outputs "load reduction" command (such as reducing the turntable angular speed by 20% and limiting the load torque), and pushes the warning information to the operation and maintenance terminal; Emergency Level: Pop-up window + strong audible and visual warning (buzzer sounds continuously + indicator light flashes red), automatically outputs "emergency stop" command (cuts off power to drive unit to prevent equipment burnout), and generates a fault report (including abnormal parameters, fault location, and suggested repair plan) and pushes it to the operation and maintenance terminal.

[0009] Preferably, in step three, the early warning response delay is ≤100ms and the emergency shutdown response delay is ≤50ms to ensure timely handling of risks; at the same time, it supports user-defined thresholds (such as adjusting the T_m threshold from 60℃ to 58℃ according to the aging of the equipment) to adapt to different working conditions.

[0010] Compared with the prior art, the beneficial effects of the present invention are: The multi-dimensional status monitoring and intelligent early warning method for photoelectric turntable proposed in this invention can cover the entire operation link of the turntable through multi-dimensional status acquisition. Compared with single parameter monitoring, the fault identification coverage rate is increased to more than 95%, avoiding missed detection. Tiered risk identification and early warning reduce the false alarm rate caused by fluctuations in a single parameter to below 2%, while achieving accurate fault location and improving operation and maintenance efficiency by 60%. Automatic emergency response function can quickly shut down the equipment to protect it in case of emergency failure, reduce failure losses, and extend the service life of the equipment by 30%; The software supports parameter customization and multi-protocol adaptation, and can be integrated into existing turntable control systems without hardware replacement, resulting in low deployment costs and strong compatibility. Detailed Implementation

[0011] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0012] This invention provides a technical solution: a method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable, including step one: multi-dimensional status data acquisition module: through a standardized communication interface, real-time acquisition of 5 types of core status data of the turntable. In this embodiment, preferably, it includes drive system data: motor temperature (T_m), motor operating current (I_m), and driver voltage (U_d), with an acquisition frequency of 10Hz; Attitude operation data: turntable horizontal / pitch angular velocity (ω_h / ω_p), actual angle deviation (Δθ_real), acquisition frequency 20Hz; Transmission system data: Harmonic reducer operating noise (N_r), transmission load torque (T_load), sampling frequency 5Hz; Sensor status data: photoelectric sensor (visible light / infrared) signal strength (S_s), data transmission delay (t_delay), acquisition frequency 1Hz; Environmental impact data: ambient temperature (T_env) and vibration acceleration (a_vib) of the turntable, collected at a frequency of 5Hz.

[0013] In this embodiment, preferably, in step one, the data acquisition delay is ≤50ms, and it supports automatic marking of abnormal data (such as data interruption, values ​​exceeding the physical range) to ensure data validity.

[0014] Step 2: Tiered Risk Intelligent Identification Module: Through a multi-dimensional risk assessment model, based on collected data and preset thresholds, risks are divided into four levels: "Normal - Warning - Alarm - Emergency". In this embodiment, preferably, in step two, the four-level sub-line includes: Normal level: all parameters are within the safety threshold (e.g., T_m≤50℃, I_m≤80% of rated current, S_s≥80dB), with no risk warning; Warning level: A single non-core parameter is close to the threshold (e.g., T_m=55℃ < threshold 60℃, a_vib=0.2g < threshold 0.3g), which is judged as a potential risk; Alarm level: If a single core parameter exceeds the threshold or two non-core parameters are close to the threshold (e.g., T_m=62℃>60℃, I_m=95% of rated current+N_r=65dB>60dB), it is judged as a minor fault risk; Emergency Level: Core parameters severely exceed thresholds or multiple parameters are abnormal (e.g., T_m=70℃, I_m=120% of rated current, S_s=50dB<60dB), which is judged as a serious fault risk.

[0015] The risk identification accuracy rate is ≥98%, avoiding misjudgments caused by fluctuations in a single parameter. At the same time, through multi-parameter correlation analysis (such as T_m increasing accompanied by I_m increasing, indicating motor overload), accurate fault location is achieved. Step 3: Tiered Intelligent Early Warning and Emergency Response Module: The software outputs differentiated early warning and response strategies for different risk levels.

[0016] In this embodiment, preferably, in step three, the early warning level is: a pop-up notification is displayed through the software interface (such as "Motor temperature is approaching the threshold, please pay attention"), and the parameter change trend is recorded at the same time, without needing to intervene in the turntable operation; Alarm level: Pop-up window + audible and visual warning (buzzer sounds + indicator light flashes yellow), automatically outputs "load reduction" command (such as reducing the turntable angular speed by 20% and limiting the load torque), and pushes the warning information to the operation and maintenance terminal; Emergency Level: Pop-up window + strong audible and visual warning (buzzer sounds continuously + indicator light flashes red), automatically outputs "emergency stop" command (cuts off power to drive unit to prevent equipment burnout), and generates a fault report (including abnormal parameters, fault location, and suggested repair plan) and pushes it to the operation and maintenance terminal.

[0017] In this embodiment, preferably, in step three, the early warning response delay is ≤100ms and the emergency shutdown response delay is ≤50ms to ensure timely handling of risks; at the same time, it supports user-defined thresholds (such as adjusting the T_m threshold from 60℃ to 58℃ according to the aging of the equipment) to adapt to different working conditions.

[0018] Although embodiments of the invention have been shown and described in detail above, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable, characterized in that, Step 1: Multi-dimensional status data acquisition module: Through a standardized communication interface, it collects five types of core status data of the turntable in real time, including drive system data, attitude operation data, transmission system data, sensor status data, and environmental impact data. Step 2: Tiered Risk Intelligent Identification Module: Through a multi-dimensional risk assessment model, based on collected data and preset thresholds, risks are divided into four levels: "Normal - Warning - Alarm - Emergency". Step 3: Tiered Intelligent Early Warning and Emergency Response Module: The software outputs differentiated early warning and response strategies for different risk levels.

2. The method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable according to claim 1, characterized in that, In step one, the drive system data includes: motor temperature, motor operating current, and driver voltage, collected at a frequency of 10Hz. Attitude operation data: turntable horizontal / pitch angular velocity, actual angle deviation, acquisition frequency 20Hz; Transmission system data: Harmonic reducer operating noise, transmission load torque, sampling frequency 5Hz; Sensor status data: photoelectric sensor signal strength, data transmission delay, acquisition frequency 1Hz; Environmental impact data: ambient temperature and vibration acceleration of the turntable, collected at a frequency of 5Hz.

3. The method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable according to claim 1, characterized in that, In step one, the data acquisition delay is ≤50ms, and automatic marking of abnormal data is supported to ensure data validity.

4. The method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable according to claim 1, characterized in that, In step two, the four levels of classification include: Normal level: all parameters are within the safe threshold and there is no risk warning; Warning level: A single non-core parameter is close to the threshold and is judged as a potential risk; Alarm level: If a single core parameter exceeds the threshold or two non-core parameters are close to the threshold, it is judged as a minor fault risk; Emergency Level: Core parameters are severely exceeding the threshold or multiple parameters are abnormal, indicating a serious risk of failure.

5. The method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable according to claim 1, characterized in that, In step three, the early warning level is indicated by a pop-up notification on the software interface, while the parameter change trend is recorded, without requiring intervention in the turntable operation; Alarm level: Pop-up window + audio-visual warning, automatically outputs "reduce load" command, and pushes warning information to the operation and maintenance terminal; Emergency Level: Pop-up window + strong sound and light warning, automatically outputs "emergency shutdown" command, and generates a fault report and pushes it to the operation and maintenance terminal.

6. The method for multi-dimensional status monitoring and intelligent early warning of an optoelectronic turntable according to claim 1, characterized in that, In step three, the early warning response delay is ≤100ms and the emergency shutdown response delay is ≤50ms to ensure timely handling of risks; at the same time, user-defined thresholds are supported to adapt to different working conditions.