CN114153405A - Data processing method and system for fault detection of DNA sequence printing equipment - Google Patents
Data processing method and system for fault detection of DNA sequence printing equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/121—Facilitating exception or error detection and recovery, e.g. fault, media or consumables depleted
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Abstract
The invention relates to the technical field of fault detection, and particularly discloses a data processing method and a data processing system for detecting faults of DNA sequence printing equipment, wherein the system comprises the following components: the data synchronization module is used for acquiring printing information of the DNA sequence printer and sending the text data to the data cache module; the system is also used for synchronously sending a trigger signal to the acquisition module; the acquisition module is used for acquiring the image data of the jet orifice of the DNA sequence printer after receiving the trigger signal; the data caching module is used for adding the text data and the image data into a data caching queue; wherein the data cache queue is a concurrent queue; the detection module is used for inputting the image data in the data cache queue into the AI detection model and outputting a detection result; and the system is also used for acquiring the text data from the data cache queue, comparing the detection result with the state of the spray head in the text data and generating a comparison result. By adopting the technical scheme of the invention, the acquired data can be rapidly processed, and the detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of fault detection, in particular to a data processing method and a data processing system for detecting faults of DNA sequence printing equipment.
Background
In biological research, biological materials with different DNA sequences need to be frequently designed, created and tested, and then the design is modified, the modified materials are reconstructed and tested again. The biological material can be printed by a DNA sequence printer according to the DNA sequence designed by researchers.
When the DNA sequence printer works, the DNA medicine needs to be injected by spraying through an air pressure jet orifice of the injection device. Mechanical fatigue of the injector during long-term operation may cause failure or delay of the air pressure control valve of the injector, which may lead to disorder of the DNA print sequence, and furthermore, solid crystals generated in the injector after long-term operation may cause clogging of the nozzle, which may lead to deletion of the DNA print sequence.
In order to find out the fault, manual detection is generally adopted at present, but the manual detection mode has the following problems or disadvantages:
1. missed detection may occur after the staff are tired, or the staff brings emotion to make the detection result subjective, so that the reliability of the detection result is difficult to ensure;
2. due to limited energy of workers, the manual detection efficiency has a fixed interval and cannot be greatly improved;
3. the manual detection makes the DNA sequence printer unable to be carried out in a closed environment, and is easy to cause drug pollution;
4. and the production speed of a production line formed by the DNA sequence printer during high-speed printing can not be matched by manual detection.
Therefore, a need exists for a method for collecting data from a DNA sequence printer, and for rapidly processing the collected data to improve detection efficiency.
Disclosure of Invention
One of the purposes of the invention is to provide a data processing system for detecting faults of DNA sequence printing equipment, which can quickly process the acquired data and improve the detection efficiency.
In order to solve the technical problem, the present application provides the following technical solutions:
a data processing system for DNA sequence printing device fault detection, comprising:
the data synchronization module is used for acquiring printing information of the DNA sequence printer, wherein the printing information comprises a plurality of text data, and sending the text data to the data cache module; the device is also used for synchronously sending a trigger signal to the acquisition module through preset transmission coding information;
the acquisition module is used for acquiring the image data of the jet orifice of the DNA sequence printer after receiving the trigger signal;
the data caching module is used for adding the text data and the image data into a data caching queue; wherein the data cache queue is a concurrent queue;
the detection module is used for inputting the image data in the data cache queue into the trained AI detection model, identifying the state of the injection port through the AI detection model and outputting a detection result; and the system is also used for acquiring the text data from the data cache queue, comparing the detection result with the state of the spray head in the text data and generating a comparison result.
Preferably, the data buffer module is configured to add the image data and the text data to the data buffer queue in sequence according to the sequence of the generation time.
Preferably, the data synchronization module is further configured to determine an opening time of the ejection opening through the text data, and based on the opening time of the ejection opening, send the trigger signal to the acquisition module synchronously through preset transmission encoding information.
Preferably, the text data includes a head number, a head state and a switching time of the head state, the head state including being ejected and stopping the ejection.
Preferably, the AI detection model employs a YOLOX target detection model.
Preferably, the detection results include a spray state, a stop state, an overfill state, and a water droplet state.
The invention also aims to provide a data processing method for detecting the faults of the DNA sequence printing equipment, which comprises the following steps:
the method comprises the steps of synchronously acquiring printing information of the DNA sequence printer, wherein the printing information comprises a plurality of text data, determining the opening time of a jet orifice through the text data, synchronously sending a trigger signal to an acquisition module through preset transmission coding information based on the opening time of the jet orifice, and controlling the acquisition module to acquire the image data of the jet orifice of the DNA sequence printer;
the method comprises the steps of caching, namely adding image data and text data into a data caching queue in sequence according to the sequence of generation time; wherein the data cache queue is a concurrent queue;
an AI reasoning step, inputting the image data in the data cache queue into an AI detection model after training, identifying the state of the injection port through the AI detection model, and outputting a detection result;
a comparison step: and acquiring the text data from the data cache queue, and comparing the detection result with the state of the spray head in the text data to generate a comparison result.
Preferably, the text data includes a head number, a head state and a switching time of the head state, the head state including being ejected and stopping the ejection.
Preferably, the AI detection model employs a YOLOX target detection model.
Preferably, the detection results include a spray state, a stop state, an overfill state, and a water droplet state.
Compared with the prior art, the invention has the following beneficial effects:
the number of the acquisition modules in the scheme can be a plurality, and all the acquisition modules shoot simultaneously to generate a large amount of image data. By adopting the data cache queue of the concurrent queue, the process of the detection module can acquire image data from the data cache queue for AI reasoning and identification, and then acquire text data from the data cache queue for comparison, and can also support multithread processing, effectively solve the problem of high concurrency of data, ensure that the acquired data is rapidly processed under the condition of large data volume, and improve the detection efficiency.
The opening time based on the jet orifice synchronously sends the trigger signal to the acquisition module, so that the jet orifice can be ensured to eject DNA medicines and take pictures at the same time, and the acquisition accuracy is ensured. The state of the jet orifice is identified through the AI detection model, a detection result is output, the detection result is compared with the state of the spray orifice in the text data, and a comparison result is generated, so that compared with manual detection, the state of the jet orifice can be efficiently and quickly monitored; the rapid fault detection of the injection device of the DNA sequence printing equipment is realized.
Drawings
FIG. 1 is a logic block diagram of a data processing system for fault detection of a DNA sequence printing apparatus according to an embodiment;
FIG. 2 is a schematic diagram of an ejection state in a data processing system for failure detection of a DNA sequence printing apparatus according to an embodiment;
FIG. 3 is a schematic diagram showing a stop state in the data processing system for failure detection of the DNA sequence printing apparatus according to the embodiment;
FIG. 4 is a schematic diagram of an overflow condition in a data processing system for DNA sequence printing device fault detection according to an embodiment;
FIG. 5 is a diagram illustrating a water droplet state in a data processing system for fault detection of a DNA sequence printing apparatus according to an embodiment.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
The embodiment provides a DNA sequence printer, which comprises an annular conveyor belt and an injection device, wherein the annular conveyor belt is used for conveying test tubes, and the injection device is provided with an injection port used for injecting DNA medicines into the test tubes. The number of the injection ports is set according to actual conditions, and in the embodiment, the injection ports adopt air pressure injection ports.
As shown in fig. 1, the data processing system for failure detection of a DNA sequence printing apparatus of the present embodiment includes: the device comprises an acquisition module, a data synchronization module, a data cache module, a storage module, a detection module and a visualization module.
The number of the acquisition modules is several, and in the embodiment, the acquisition modules adopt 24 CCD black-and-white industrial cameras, and are arranged around a conveyor belt of the DNA sequence printer in an annular array mode, and the CCD black-and-white industrial cameras are aligned to jet orifices of the injection device.
In the embodiment, the device further comprises a light source, wherein the light source specifically adopts LED strip-shaped light bands which are respectively arranged above and below the CCD black-and-white industrial camera, and the jet orifice is illuminated in a bright field illumination mode.
The data synchronization module is used for acquiring printing information of the DNA sequence printer; the print information includes several text data. The device is also used for determining the opening time of the injection port through the text data, and synchronously sending a trigger signal to the acquisition module through preset transmission coding information based on the opening time of the injection port so as to realize synchronous shooting and injection of DNA medicines into the injection port. In this embodiment, the printing information is input by the operator and used to control the printing operation of the DNA sequence printer. The transmission coding information is specified in advance by both communication parties, and in this embodiment, CRC16 communication check coding is used to check whether data transmission is in error.
The acquisition module is used for acquiring the image data of the jet orifice after receiving the trigger signal. In this embodiment, the data synchronization module adopts a plurality of data synchronizers, and each four CCD black-and-white industrial cameras are in a group and controlled by one data synchronizer. In this embodiment, each CCD black and white industrial camera takes a maximum of two images per second, and the peak value per second will produce 48 images.
The data synchronization module is further used for verifying the text data according to the transmission coding information, and after the verification is passed, the text data is sent to the data caching module. The text data includes the head number, the head state including being ejected and stopping the ejection, and the switching time of the head state. A single piece of text data may control multiple jets.
In this embodiment, the image data acquired by the acquisition module is transmitted to the data cache module through the gigabit ethernet network.
The data caching module is also used for converting the format of the image data into a preset format. In this embodiment, the preset format is a format supported by OpenCV.
The data buffer module is further configured to add the text data and the format-converted image data to a data buffer queue in sequence according to the sequence of the generation time. The text data and the image data are cached in a concurrent queue mode, and the problem of high concurrency of the data can be solved.
The detection module is used for inputting the image data after format conversion into the trained AI detection model, and the AI detection model identifies the state of the injection port and outputs the detection result. In the present embodiment, the AI detection model adopts the YOLOX target detection model, and the detection results include an injection state (fig. 2), a stop state (fig. 3), an overfill state (fig. 4), and a water droplet state (fig. 5). The detection module is also used for comparing the detection result with the nozzle state in the text data to generate a comparison result, and the comparison result is sent to the visualization module. In the comparison result of this embodiment, the status of the nozzle is in-process injection, the detection result is in-process injection, or the status of the nozzle is in-process injection, and the detection result is in-process injection; the other cases are abnormal, such as an overfill state, a water droplet state, or a head state being in the process of jetting, and a detection result being a stop state.
The storage module is used for storing the image data after format conversion, and shooting time is recorded in the image data in the embodiment.
The visualization module is used for receiving the comparison result, acquiring the corresponding image data from the storage module, and generating a visualization detection result based on the image data and the comparison result. In this embodiment, the visualization module receives the comparison result from the ethernet in the form of a publish-subscribe. And displaying the visual detection result in the GUI interface. In this embodiment, the visual detection result includes the marked image of the ejection opening and the log information. In this embodiment, the end of the injection port is framed by a square frame, and then the corresponding detection result is marked to realize labeling. Log information, for example, detection time: 11/2021; event: detecting an overfill condition; no. 1, No. 7 and No. 18.
Example two
Based on the data processing system for the fault detection of the DNA sequence printing equipment, the embodiment also provides a data processing method for the fault detection of the DNA sequence printing equipment, which comprises the following steps:
a synchronous acquisition step: acquiring printing information of a DNA sequence printer; the printing information comprises a plurality of text data, the opening time of the jet orifice is determined through the text data, based on the opening time of the jet orifice, a trigger signal is synchronously sent to the acquisition module through preset transmission coding information, and the acquisition module is controlled to acquire the image data of the jet orifice of the DNA sequence printer; so as to realize the synchronous shooting and injection of DNA medicine by the injection port.
Text verification: verifying the text data according to the transmission coding information; and after the verification is passed, adding text data into a data cache queue, wherein the text data comprises a spray head number and a spray head state, and the spray head state comprises spraying and stopping spraying.
A caching step: converting the format of the image data into a preset format;
sequentially adding the image data after format conversion and the text data after verification to a data cache queue according to the sequence of the generation time; in this embodiment, the data buffer queue adopts a concurrent queue. The text data and the image data are cached in a concurrent queue mode, and the problem of high concurrency of the data can be solved.
AI reasoning step: and inputting the image data in the data cache queue into the trained AI detection model, and acquiring a detection result from the AI detection model. In the present embodiment, the AI detection model adopts the YOLOX target detection model, and the detection results include an injection state (fig. 2), a stop state (fig. 3), an overfill state (fig. 4), and a water droplet state (fig. 5).
A comparison step: comparing the detection result with the state of the spray nozzle in the text data to generate a comparison result; in the comparison result of this embodiment, the status of the nozzle is in-process injection, the detection result is in-process injection, or the status of the nozzle is in-process injection, and the detection result is in-process injection; the other cases are abnormal, such as an overfill state, a water droplet state, or a head state being in the process of jetting, and a detection result being a stop state.
A storage step: the format-converted image data is stored, and the shooting time is recorded in the image data in this embodiment.
A display step: and receiving the comparison result, acquiring corresponding image data, and generating a visual detection result based on the image data and the comparison result. In this embodiment, the visual detection result is displayed in the GUI interface. The visual detection result comprises the marked picture of the jet orifice and log information. In this embodiment, the end of the injection port is framed by a square frame, and then the corresponding detection result is marked to realize labeling. Log information, for example, detection time: 11/2021; event: detecting an overfill condition; no. 1, No. 7 and No. 18.
Finally, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that, while the invention has been described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data processing system for DNA sequence printing device fault detection, comprising:
the data synchronization module is used for acquiring printing information of the DNA sequence printer, wherein the printing information comprises a plurality of text data, and sending the text data to the data cache module; the device is also used for synchronously sending a trigger signal to the acquisition module through preset transmission coding information;
the acquisition module is used for acquiring the image data of the jet orifice of the DNA sequence printer after receiving the trigger signal;
the data caching module is used for adding the text data and the image data into a data caching queue; wherein the data cache queue is a concurrent queue;
the detection module is used for inputting the image data in the data cache queue into the trained AI detection model, identifying the state of the injection port through the AI detection model and outputting a detection result; and the system is also used for acquiring the text data from the data cache queue, comparing the detection result with the state of the spray head in the text data and generating a comparison result.
2. The data processing system for DNA sequence printing device fault detection according to claim 1, characterized by: the data caching module is used for sequentially adding the image data and the text data into the data caching queue according to the sequence of the generation time.
3. The data processing system for DNA sequence printing device fault detection according to claim 2, characterized in that: the data synchronization module is also used for determining the opening time of the jet orifice through the text data, and synchronously sending a trigger signal to the acquisition module through preset transmission coding information based on the opening time of the jet orifice.
4. The data processing system for DNA sequence printing device fault detection according to claim 3, characterized in that: the text data includes the head number, the head state including being ejected and stopping the ejection, and the switching time of the head state.
5. The data processing system for DNA sequence printing device fault detection according to claim 4, characterized in that: the AI detection model adopts a YOLOX target detection model.
6. The data processing system for DNA sequence printing device fault detection according to claim 5, characterized in that: the detection results include a spray state, a stop state, an overfill state, and a water droplet state.
7. A data processing method for failure detection of a DNA sequence printing apparatus, comprising:
data synchronization step, obtaining the printing information of the DNA sequence printer; the printing information comprises a plurality of text data, the opening time of the jet orifice is determined through the text data, based on the opening time of the jet orifice, a trigger signal is synchronously sent to the acquisition module through preset transmission coding information, and the acquisition module is controlled to acquire the image data of the jet orifice of the DNA sequence printer;
the data caching step, adding the image data and the text data into a data caching queue in sequence according to the sequence of the generation time; wherein the data cache queue is a concurrent queue;
the detection step is that the image data in the data cache queue is input into an AI detection model after training, the state of the injection port is identified through the AI detection model, and a detection result is output;
and acquiring the text data from the data cache queue, and comparing the detection result with the state of the spray head in the text data to generate a comparison result.
8. The data processing method for DNA sequence printing apparatus malfunction detection according to claim 7, characterized in that: the text data includes the head number, the head state including being ejected and stopping the ejection, and the switching time of the head state.
9. The data processing method for DNA sequence printing apparatus malfunction detection according to claim 8, characterized in that: the AI detection model adopts a YOLOX target detection model.
10. The data processing method for DNA sequence printing apparatus malfunction detection according to claim 9, characterized in that: the detection results include a spray state, a stop state, an overfill state, and a water droplet state.
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