Method for automatically detecting abnormity of Hg + microwave clock

Abstract

The invention provides an automatic abnormity detection method for a Hg + microwave clock. The automatic abnormity detection method comprises the following steps: setting comparison thresholds of voltage, current and temperature of a spectral lamp, environment temperature, crystal oscillator temperature and microwave state items; after power-on starting, the sampling time is set to be T, multi-thread polling is started, the spectrum lamp voltage VL, the current CL, the environment temperature TL, the environment temperature TE, the crystal oscillator temperature TO and the microwave state WS are sampled, and after sampling, sampling data are sent to an upper computer through a serial port; calculating each item through a comparison algorithm to obtain an abnormal characterization value; whether the project or the state is abnormal or not is obtained according to the abnormal characterization value; when the abnormity detection mechanism detects the corresponding abnormity, the fluorescence detection result is rejected, fluorescence detection is carried out on the current state again, an experimenter is assisted in rapidly and accurately positioning the abnormity, and it is guaranteed that the abnormity does not have any influence on an experiment system and experiment data.

Description

Technical Field

[0001] This invention relates to the field of anomaly detection technology, and in particular to a Hg + Automatic detection method for abnormalities in microwave clocks. Background Technology

[0002] Hg + A microwave clock is a high-precision frequency standard based on a novel working principle, significantly outperforming traditional atomic frequency standards such as hydrogen, rubidium, and cesium. This system boasts three major advantages: extremely strong resistance to interference from physical particles and external field disturbances, minimal impact from motion effects, and a significantly extended quantum state coherence time. Due to the complex structure of the entire system and its requirement for long-term powered operation, rapid anomaly localization is crucial in case of malfunctions. Furthermore, when unattended, the system operates automatically; if fault data is confirmed and used by the system, it can significantly impact experimental results. Therefore, a complete automatic anomaly detection method must be developed to assist researchers in quickly and accurately locating anomalies, ensuring that the anomaly does not affect the experimental system or data. Simultaneously, an anomaly data rejection method must be provided to ensure accurate and reliable long-term stable operation of the experimental system. Summary of the Invention

[0003] This invention provides an Hg + An automatic anomaly detection method for microwave clocks is used to assist experimenters in quickly and accurately locating anomalies, ensuring that the anomalies do not affect the experimental system or experimental data.

[0004] Firstly, it provides an Hg + Automatic detection methods for microwave clock malfunctions include:

[0005] Set comparison thresholds for the following parameters: spectrum lamp voltage, current, temperature, ambient temperature, crystal oscillator temperature, and microwave status.

[0006] After power-on, the sampling time is set to T, and multi-threaded polling is started to sample the spectrum lamp voltage VL, current CL, ambient temperature TL, ambient temperature TE, crystal oscillator temperature TO, and microwave status WS. After sampling, the sampled data is sent to the host computer via serial port.

[0007] Each item is processed using a comparison algorithm to obtain anomaly indicators;

[0008] Based on the abnormality characterization value, it can be determined whether the project or the state is abnormal;

[0009] When the anomaly detection mechanism detects the corresponding anomaly, it discards the current fluorescence detection result and performs fluorescence detection again on the current state.

[0010] In one embodiment, the comparison threshold includes two values: an upper limit and a lower limit, which are respectively: the spectral lamp voltage VL.MAX VL MIN Current CL MAX CL MIN Ambient temperature TE MAX TE MIN Crystal oscillator temperature TO MAX TO MIN .

[0011] In one implementation, the formula for the comparison algorithm is:

[0012] VL MIN ≤VL≤VL MAX

[0013] CL MIN ≤CL≤CL MAX

[0014] TL MIN ≤TL≤TL MAX

[0015] TE MIN ≤TE≤TE MAX

[0016] TO MIN ≤TO≤TO MAX .

[0017] In one implementation, the anomaly representation value is obtained using the following algorithm:

[0018] The algorithm for state items is as follows:

[0019] The representation value algorithm is as follows:

[0020] In one implementation, determining whether the item or state is abnormal based on the anomaly characterization value includes:

[0021] If the spectral lamp temperature threshold is set to [20℃, 60℃], and the actual measured spectral lamp temperature is 75℃, then the abnormal value of the spectral lamp temperature is 0. At this time, the system can indicate the time and location of the current abnormality and display it on the human-machine interface.

[0022] In one implementation, when the anomaly detection mechanism detects a corresponding anomaly, the fluorescence detection result is not applicable to the current locking calculation, and the data at that point needs to be remeasured.

[0023] An embodiment of the present invention provides an Hg +An automatic anomaly detection method for a microwave clock includes: setting comparison thresholds for spectral lamp voltage, current, temperature, ambient temperature, crystal oscillator temperature, and microwave status; after power-on, setting the sampling time to T, initiating multi-threaded polling to sample spectral lamp voltage VL, current CL, ambient temperature TL, ambient temperature TE, crystal oscillator temperature TO, and microwave status WS; after sampling, sending the sampled data to the host computer via serial port; performing calculations on each item using a comparison algorithm to obtain anomaly characterization values; determining whether the item or status is abnormal based on the anomaly characterization values; when the anomaly detection mechanism detects a corresponding anomaly, discarding the current fluorescence detection result, and re-performing fluorescence detection on the current status, assisting experimenters in quickly and accurately locating the anomaly and ensuring that the anomaly does not affect the experimental system or experimental data.

[0024] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and accompanying drawings. Attached Figure Description

[0025] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0026] Figure 1 Hg according to an embodiment of the present invention + Flowchart of automatic anomaly detection method for microwave clocks. Detailed Implementation

[0027] To assist researchers in quickly and accurately locating anomalies and ensuring that the anomalies do not affect the experimental system or experimental data, a Hg-based system is provided. + Automatic detection method for abnormalities in microwave clocks.

[0028] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention. Furthermore, the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0029] like Figure 1 As shown, the embodiment provides an Hg + The automatic detection method for microwave clock malfunctions includes the following specific implementation steps:

[0030] Comparison threshold settings

[0031] Set comparison thresholds for parameters such as spectral lamp voltage, current, temperature, ambient temperature, crystal oscillator temperature, and microwave status. These thresholds include both an upper and lower limit. Spectral lamp voltage VL MAX VL MIN Current CL MAX CL MIN Ambient temperature TE MAX TE MIN Crystal oscillator temperature TO MAX TO MIN Items that directly indicate status do not require setting thresholds.

[0032] This concludes the section on setting the comparison threshold.

[0033] Polling settings

[0034] After power-on, the sampling time is set to T, and multi-threaded polling is started to sample the spectrum lamp voltage VL, current CL, ambient temperature TL, ambient temperature TE, crystal oscillator temperature TO, microwave status WS, etc. After sampling, the sampled data is sent to the host computer through the serial port.

[0035] This concludes the polling setup section.

[0036] Comparison Algorithm

[0037] Anomaly indicators can be obtained by comparing each item using an algorithm. The algorithm formula is as follows:

[0038] VL MIN ≤VL≤VL MAX

[0039] CL MIN ≤CL≤CL MAX

[0040] TL MIN ≤TL≤TL MAX

[0041] TE MIN ≤TE≤TE MAX

[0042] TO MIN ≤TO≤TO MAX

[0043] The algorithm formula for state items is as follows:

[0044]

[0045] After the calculation is completed, the anomaly representation value VE for each project is obtained. The algorithm for the representation value is as follows:

[0046]

[0047] This concludes the comparison algorithm section.

[0048] Exception handling

[0049] Based on the calculated anomaly characterization value, it can be determined whether the item or state is abnormal. For example, if the spectral lamp temperature threshold is set to [20, 60] (°C) and the actual measured spectral lamp temperature is 75°C, then the anomaly characterization value of the spectral lamp temperature is 0. At this time, the system can indicate the time and location of the current anomaly and display it on the human-machine interface, providing a basis for tracing the source.

[0050] This concludes the exception handling section.

[0051] Data culling

[0052] During the closed-loop locking experiment, when the anomaly detection mechanism detects a corresponding anomaly, it usually affects the current fluorescence detection result. Therefore, the fluorescence detection result is not applicable to the current locking calculation, and the data at that point needs to be remeasured. Thus, when the system detects an anomaly, it discards the current fluorescence detection result and re-detects the fluorescence at the current state to ensure Hg... + The data obtained when the microwave clock is locked is accurate and highly reliable.

[0053] This invention proposes a method for Hg + The automatic anomaly detection method for microwave clocks involves the system comparing real-time collected data against relevant threshold values ​​using a comparative algorithm after startup. This process identifies anomaly values ​​for each item, pinpointing the system's anomaly locations and enabling rapid and accurate anomaly localization and handling. Furthermore, during closed-loop locking experiments, anomaly detection can detect fluorescence results accompanying abnormal data. These results are no longer relevant and can be discarded, allowing for the detection of a new set of fluorescence values ​​at the same location for closed-loop locking. This method operates automatically after system startup, providing real-time indication of various anomalies and interactive functionality. It facilitates rapid anomaly localization by technicians and allows for continuous monitoring of the entire system during extended operation. By discarding abnormal fluorescence data, it ensures stable system operation and reliable locking data, contributing to Hg's [system / technology / etc.] capabilities. + Research and development in microwaves.

[0054] This invention provides an Hg +An automatic anomaly detection method for a microwave clock. This method is used throughout the entire operation of the experimental system. When the system is powered on, the anomaly detection method runs automatically. Based on the set thresholds for each item, the system compares the received value of each item with the set thresholds. If the value is within a reasonable range, the item is considered normal; if the value exceeds the reasonable range, the item is considered abnormal. The system can indicate the corresponding cause of the anomaly and display it on the human-machine interface. Simultaneously, when the system performs a closed-loop locking experiment, if there are fluorescent detection values ​​accompanied by anomalies, this method can automatically remove the abnormal data and resample at that point, ensuring the authenticity of the data and the locking experiment. The advantages of this method are:

[0055] 1. Autonomous operation

[0056] The microcontroller collects the values ​​of the above items and transmits them to the host computer in real time, enabling it to run immediately upon power-on without human intervention.

[0057] 2. High recognition accuracy

[0058] The algorithm automatically calculates whether the values ​​of each item are within the threshold range and calculates the number of items that exceed the threshold, thus avoiding errors.

[0059] 3. Flexible judgment criteria

[0060] According to the current experimental environment, the threshold can be manually adjusted during the experiment to avoid abnormal false alarms caused by unreasonable threshold settings or changes in the surrounding environment.

[0061] 4. Remove invalid data

[0062] Fluorescence detection data that is accompanied by anomalies are removed to ensure the accuracy of the closed-loop locking experiment.

[0063] This method is Hg + The automatic operation of microwave clocks provides reliable technical support and has important application value in fields such as precision measurement and time and frequency reference.

[0064] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0065] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A type of Hg + An automatic anomaly detection method for microwave clocks, characterized in that, include: Set comparison thresholds for the following parameters: spectrum lamp voltage, current, temperature, ambient temperature, crystal oscillator temperature, and microwave status. After power-on, the sampling time is set to T, and multi-threaded polling is started to sample the spectrum lamp voltage VL, current CL, ambient temperature TL, ambient temperature TE, crystal oscillator temperature TO, and microwave status WS. After sampling, the sampled data is sent to the host computer via serial port. Each item is processed using a comparison algorithm to obtain anomaly indicators; Based on the abnormality characterization value, it can be determined whether the project or the state is abnormal; When the anomaly detection mechanism detects the corresponding anomaly, it discards the current fluorescence detection result and performs fluorescence detection again on the current state.

2. The method according to claim 1, characterized in that, The comparison threshold includes two values: an upper limit and a lower limit, which are respectively: the spectral lamp voltage VL. MAX VL MIN Current CL MAX CL MIN Ambient temperature TE MAX TE MIN Crystal oscillator temperature TO MAX TO MIN .

3. The method according to claim 2, characterized in that, The formula for the comparison algorithm is: VL MIN ≤VL≤VL MAX CL MIN ≤CL≤CL MAX TL MIN ≤TL≤TL MAX THE MIN ≤TE≤TE MAX TO MIN ≤TO≤TO MAX 。 4. The method according to claim 3, characterized in that, The following algorithm is used to obtain anomaly representation values: The algorithm for state items is as follows: The representation value algorithm is as follows:

5. The method according to claim 4, characterized in that, Based on the aforementioned anomaly characterization values, determine whether the project or state is abnormal, including: If the spectral lamp temperature threshold is set to [20℃, 60℃], and the actual measured spectral lamp temperature is 75℃, then the abnormal value of the spectral lamp temperature is 0. At this time, the system can indicate the time and location of the current abnormality and display it on the human-machine interface.

6. The method according to claim 5, characterized in that, When the anomaly detection mechanism detects a corresponding anomaly, the fluorescence detection results are not applicable to the current locking calculation, and the data at that point needs to be measured again.

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