CN117058689B - Offline detection data processing method for chemical production - Google Patents
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Abstract
The embodiment of the specification provides an off-line detection data processing method for chemical production. Responding to the chemical detection equipment to finish off-line detection on a detection sample, and acquiring a display screen global image of the chemical detection equipment through an image acquisition device; extracting detection result data of a detection sample from the global image of the display screen based on an image positioning frame matched with the equipment model of the chemical detection equipment by a data processing device; and transmitting the extracted detection result data to the downstream device via the data communication means. By using the off-line detection data processing method, the sample detection result can be automatically identified and extracted from the global image of the display screen of the off-line chemical detection device and provided for the downstream device, so that the sample detection efficiency is improved, and the sample detection error caused by manual operation is avoided.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of chemical production, and more particularly, to an offline detection data processing method for chemical production.
Background
In chemical production, sample testing is required for the produced samples to determine whether the produced samples meet chemical production standards. However, in some cases, such as equipment maintenance, data security, cost factors, etc., the chemical detection equipment for sample detection cannot be connected to the sample detection task management system or the upstream/downstream equipment via a network, so that the sample detection result of the chemical detection equipment can be input to the sample detection task management system or the upstream/downstream equipment only by a manual manner, which requires a long operation time and is prone to cause human error, thereby affecting the sample detection efficiency and the accuracy of the sample detection result.
Disclosure of Invention
In view of the above, embodiments of the present specification provide an off-line inspection data processing method for chemical production. By using the off-line detection data processing method, the sample detection result of the chemical detection equipment in an off-line state can be automatically provided for the downstream equipment, so that the sample detection efficiency is improved, and sample detection errors caused by manual operation are avoided.
According to an aspect of embodiments of the present specification, there is provided an off-line inspection data processing method for chemical production, including: responding to the offline chemical industry detection equipment to finish offline detection of a detection sample, and acquiring a display screen global image of the offline chemical industry detection equipment through an image acquisition device of an offline detection data processing equipment; extracting detection result data of the detection sample from the display screen global image based on an image positioning frame matched with the equipment model of the off-line chemical detection equipment by a data processing device of the off-line detection data processing equipment; and transmitting the extracted detection result data to a downstream device via the data communication means of the off-line detection data processing device.
Optionally, in one example of the above aspect, extracting, via the data processing apparatus of the offline detection data processing device, detection result data of the detection sample from the display screen global image based on an image positioning frame matched with a device model of the offline chemical industry detection device may include: generating an image positioning frame matched with the equipment model of the off-line chemical detection equipment through the data processing device, wherein the image positioning frame is positioned on or above the display screen global image and displays the confidence that the positioned area is a target area; determining, by the data processing apparatus, an image located from the display screen global image in a state in which the confidence level of the image locating frame is not lower than a confidence level threshold value as a detection result area image; and extracting, via the data processing device, detection result data of the detection sample from the detection result area image.
Optionally, in one example of the above aspect, the image positioning frame includes a display screen global image positioning frame and at least one detection result area image positioning frame, and an image positioned by the at least one detection result area image positioning frame is used as the detection result area image.
Optionally, in one example of the above aspect, the at least one detection result area image positioning frame includes a detection result area image positioning frame corresponding to a target detection result of the detection sample.
Optionally, in one example of the above aspect, generating, via the data processing apparatus, an image positioning frame matching a device model of the offline chemical industry detection device may include: and generating a model through an image positioning frame in the data processing device, and generating an image positioning frame matched with the equipment model of the off-line chemical industry detection equipment according to the equipment model of the off-line chemical industry detection equipment and the global image of the display screen.
Optionally, in one example of the above aspect, the offline detection data processing method may further include: and acquiring display screen global layout style information matched with the equipment model of the off-line chemical detection equipment from a global layout style information database through the data processing device. Accordingly, generating, via the data processing apparatus, an image localization frame matching the equipment model of the offline chemical industry detection equipment may include: and generating an image positioning frame matched with the equipment model of the off-line chemical detection equipment according to the global layout style information of the display screen of the chemical detection equipment through the data processing device.
Optionally, in one example of the above aspect, the offline detection data processing method may further include: acquiring a detection task tag image on a loading container of the detection sample through the image acquisition device; and identifying detection task label information from the detection task label image through the data processing device, and determining the equipment model of the off-line chemical industry detection equipment according to the detection task label information.
Optionally, in one example of the above aspect, the offline detection data processing method may further include: acquiring global images of the off-line chemical industry detection equipment through the image acquisition device; and identifying, via the data processing device, a device model of the off-line chemical industry detection device from the global image.
Optionally, in one example of the above aspect, the offline detection data processing method may further include: determining similar display screen global images of the acquired display screen global images from a display screen global image database; and determining the equipment model corresponding to the similar display screen global image as the equipment model of the off-line chemical industry detection equipment.
Optionally, in one example of the above aspect, the offline detection data processing method may further include: acquiring a detection task tag image on a loading container of the detection sample through the image acquisition device; and identifying sample detection task tag information from the detection task tag image through the data processing device, determining task data structure information of a sample detection task according to the sample detection task tag information, and filling the detection result data into sample detection task data according to the task data structure information after the detection result data is extracted. Accordingly, transmitting the extracted detection result data to the downstream device via the data communication means of the offline detection data processing device may include: and transmitting the sample detection task data filled with the detection result data to a downstream device through the data communication device of the offline detection data processing device.
Optionally, in one example of the above aspect, extracting, via the data processing apparatus of the offline detection data processing device, detection result data of the detection sample from the display screen global image based on an image positioning frame matched with a device model of the offline chemical industry detection device may include: and extracting detection result data of the detection sample, which is matched with the task data structure information, from the global image of the display screen based on an image positioning frame matched with the equipment model of the off-line chemical detection equipment by the data processing device.
Optionally, in one example of the above aspect, determining, via the data processing apparatus, task data structure information of the sample detection task according to the sample detection task tag information may include: and acquiring task data structure information of the sample detection task from a task data structure database according to the sample detection task tag information through the data processing device.
Optionally, in one example of the above aspect, the sample detection task data includes sample detection task data from an upstream device.
According to another aspect of embodiments of the present specification, there is provided an off-line inspection data processing apparatus for chemical production, comprising: the image acquisition device is configured to respond to the offline chemical industry detection equipment to finish offline detection of a detection sample, and acquire a display screen global image of the offline chemical industry detection equipment; the data processing device is configured to extract detection result data of the detection sample from the display screen global image based on an image positioning frame matched with the equipment model of the off-line chemical detection equipment; and a data communication device configured to transmit the extracted detection result data to the downstream apparatus.
Optionally, in one example of the above aspect, the data processing apparatus may include: an image positioning frame generating unit configured to generate an image positioning frame matched with the equipment model of the off-line chemical detection equipment, wherein the image positioning frame is positioned on or above the display screen global image and displays the confidence that the positioned area is a target area; a detection result area image determining unit configured to determine an image located from the display screen global image in a state where the confidence level of the image locating frame is not lower than a confidence level threshold value as a detection result area image; and a detection result data extraction unit configured to extract detection result data of the detection sample from the detection result area image.
Optionally, in one example of the above aspect, the image positioning frame generating unit is configured to generate, via an image positioning frame generating model in the data processing apparatus, an image positioning frame matching the device model of the off-line chemical industry detection device according to the device model of the off-line chemical industry detection device and the display screen global image.
Optionally, in one example of the above aspect, the data processing apparatus may further include: the global style information acquisition unit is configured to acquire the global layout style information of the display screen matched with the equipment model of the chemical detection equipment from the global layout style information database. Correspondingly, the image positioning frame generating unit is configured to generate an image positioning frame matched with the equipment model of the off-line chemical engineering detection equipment according to the global layout style information of the display screen of the off-line chemical engineering detection equipment.
Optionally, in one example of the above aspect, the image acquisition device is further configured to acquire a detection task tag image on a loading container of the detection sample. The data processing apparatus may further include: and the equipment model determining unit is configured to determine the equipment model of the chemical engineering detection equipment according to the detection task label image.
Optionally, in one example of the above aspect, the device model determining unit is configured to: and identifying sample detection task label information from the detection task label image, and determining the equipment model of the off-line chemical detection equipment according to the sample detection task label information.
Optionally, in one example of the above aspect, the image acquisition device is configured to further acquire a global image of the chemical detection apparatus. The data processing apparatus may further include: and the equipment model determining unit is configured to identify the equipment model of the off-line chemical industry detection equipment from the global image.
Optionally, in one example of the above aspect, the data processing apparatus may further include: the equipment model determining unit is configured to determine the equipment model of the off-line chemical industry detecting equipment according to the acquired display screen global image and the display screen global image stored in the display screen global image database.
Optionally, in one example of the above aspect, the device model determining unit is configured to: determining similar display screen global images of the acquired display screen global images from the display screen global image database; and determining the equipment model corresponding to the similar display screen global image as the equipment model of the off-line chemical industry detection equipment.
Optionally, in one example of the above aspect, the image acquisition device is configured to further acquire a detection task tag image on a loading container of the detection sample. The data processing apparatus may further include: an image recognition unit configured to recognize sample detection task tag information from the detection task tag image; a task data structure information determining unit configured to determine task data structure information of a sample detection task according to the sample detection task tag information; and a data filling unit configured to fill the detection result data into sample detection task data according to the task data structure information after the detection result data is extracted. Accordingly, the data communication means is configured to transmit sample detection task data filled with the detection result data to a downstream device.
Optionally, in one example of the above aspect, the data processing apparatus is configured to extract detection result data of the detection sample matching the task data structure information from the display screen global image based on an image positioning frame matching a device model of the off-line chemical detection device.
Optionally, in one example of the above aspect, the task data structure information determining unit is configured to obtain task data structure information of the sample detection task from a task data structure database according to the sample detection task tag information.
According to another aspect of embodiments of the present specification, there is provided a chemical industry detection system comprising: at least one off-line chemical industry detection device configured to perform an off-line sample detection task that detects a sample; and an off-line detection data processing apparatus as described above.
Drawings
A further understanding of the nature and advantages of the present description may be realized by reference to the following drawings. In the drawings, similar components or features may have the same reference numerals.
FIG. 1 shows an example schematic diagram of a chemical detection system.
FIG. 2 shows an example block diagram of a chemical industry detection system in accordance with embodiments of the present disclosure.
FIG. 3 shows an example schematic diagram of an offline chemical industry detection device according to an embodiment of the present disclosure.
Fig. 4 shows an example block diagram of an off-line inspection data processing apparatus for chemical production according to an embodiment of the present specification.
Fig. 5 shows an example schematic diagram of a global image of a display screen of a color difference meter according to an embodiment of the present description.
Fig. 6 shows an example schematic diagram of display screen global layout style information of a color difference meter according to an embodiment of the present specification.
Fig. 7 shows an example block diagram of a data processing apparatus according to an embodiment of the present specification.
Fig. 8 shows an example schematic diagram of an image positioning frame according to an embodiment of the present specification.
Fig. 9 shows an exemplary schematic diagram of sample detection task tag information of a color difference meter according to an embodiment of the present specification.
Fig. 10 shows an exemplary schematic diagram of an image positioning frame in an image positioning state according to an embodiment of the present specification.
FIG. 11 illustrates an example schematic diagram of a task data structure according to an embodiment of the present description.
Fig. 12 shows an example schematic diagram of sample task data filled with sample detection results according to an embodiment of the present specification.
Fig. 13 shows an example flowchart of an offline detection data processing method according to an embodiment of the present specification.
Fig. 14 shows an example flowchart of a detection result extraction process according to an embodiment of the present specification.
Detailed Description
The subject matter described herein will now be discussed with reference to example embodiments. It should be appreciated that these embodiments are discussed only to enable a person skilled in the art to better understand and thereby practice the subject matter described herein, and are not limiting of the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the scope of the disclosure as set forth in the specification. Various examples may omit, replace, or add various procedures or components as desired. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. In addition, features described with respect to some examples may be combined in other examples as well.
As used herein, the term "comprising" and variations thereof mean open-ended terms, meaning "including, but not limited to. The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment. The term "another embodiment" means "at least one other embodiment". The terms "first," "second," and the like, may refer to different or the same object. Other definitions, whether explicit or implicit, may be included below. Unless the context clearly indicates otherwise, the definition of a term is consistent throughout this specification.
In chemical production, sample testing is required for the produced samples to determine whether the produced samples meet chemical production standards. Fig. 1 shows an example schematic diagram of a chemical detection system 100.
As shown in FIG. 1, chemical detection system 100 includes an online chemical detection device 110-1, an online chemical detection device 110-2, an online chemical detection device 110-3, an offline chemical detection device 110-4, hub switch 120, and a downstream device 130. The online chemical detection device 110-1, the online chemical detection device 110-2, and the online chemical detection device 110-3 are configured to perform online detection of a detection sample, and may be connected to the Hub switch 120 via a network (e.g., a wired network or a wireless network) and to the downstream device 130 via the Hub switch 120. The downstream device 130 may be, for example, a sample testing task management system (e.g., SAP system) or a downstream chemical testing device. In this case, the sample detection results obtained by performing the sample detection by the online chemical detection device 110-1, the online chemical detection device 110-2, and the online chemical detection device 110-3 may be automatically transmitted to the downstream device 130 via the network.
In addition, the offline chemical inspection device 110-4 cannot be connected to the sample inspection task management system or other downstream devices via a network for some reasons, such as equipment maintenance, data security, cost factors, etc., so that the offline chemical inspection device 110-4 performs offline inspection of inspected samples. In this case, the sample detection result of the chemical detection device 110-4 can be inputted to the sample detection task management system only by a manual operation, which requires a long operation time and is easily caused to be artificially erroneous, thereby affecting the sample detection efficiency and the accuracy of the sample detection result.
In view of this, embodiments of the present specification provide an off-line inspection data processing method for chemical production. By using the off-line detection data processing method, the sample detection result of the off-line chemical detection equipment can be automatically extracted by the off-line detection data processing equipment and provided for downstream equipment, so that the sample detection efficiency is improved, and sample detection errors caused by manual operation are avoided.
An offline inspection data processing method, an offline inspection data processing apparatus, and a chemical inspection system for chemical production according to embodiments of the present specification are described below with reference to the accompanying drawings.
Fig. 2 shows an example block diagram of a chemical industry detection system 200 according to an embodiment of this specification.
As shown in FIG. 2, chemical detection system 200 includes an online chemical detection device 210-1, an online chemical detection device 210-2, an online chemical detection device 210-3, an offline chemical detection device 210-4, a Hub switch 220, an offline detection data processing device 230, and a downstream device 250. Online chemical detection device 210-1, online chemical detection device 210-2, and online chemical detection device 210-3 may be connected to Hub switch 220 via a network and to downstream device 250 via Hub switch 220. Sample detection results from the sample detection performed by the online chemical detection device 210-1, the online chemical detection device 210-2, and the online chemical detection device 210-3 may be automatically transmitted to the downstream device 250 via the network.
There is no network connection between the offline chemical industry inspection tool 210-4 and the offline inspection data processing tool 230 and the downstream tool 250. In addition, the offline detection data processing device 230 may be connected in data communication with a downstream device 250 via a network 240. In some embodiments, the network 240 may be any one or more of a wired network or a wireless network. Examples of network 240 may include, but are not limited to, a cable network, a fiber optic network, a telecommunications network, an in-enterprise network, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a zigbee network (zigbee), near Field Communication (NFC), an in-device bus, an in-device line, and the like, or any combination thereof.
The offline chemical industry detection device 210-4 may perform offline sample detection for chemical industry samples. Fig. 3 shows an example schematic diagram of an offline chemical industry detection apparatus 300 according to an embodiment of the present disclosure. The off-line chemical detection apparatus 300 shown in fig. 3 is a color difference meter Xrite having a display screen for displaying the detection result. In addition, the offline chemical industry detection device 300 may also have a device model identification area for presenting device model identification information, such as the area for displaying "Xrite" in fig. 3.
The offline test data processing device 230 may automatically obtain an offline sample test result of the offline chemical industry test device 210-4 in response to the offline chemical industry test device 210-4 completing the offline sample test and transmit the offline sample test result to the downstream device 250 via the network 240 for use by the downstream device 250.
Fig. 4 shows an example block diagram of an off-line inspection data processing apparatus 400 for chemical production according to an embodiment of the present disclosure. As shown in fig. 4, the offline detection data processing apparatus 400 includes an image acquisition device 410, a data processing device 420, and a data communication device 430.
In response to the offline chemical industry detection device completing the offline detection of the detection sample, the image acquisition device 410 acquires a display screen global image of the offline chemical industry detection device. Fig. 5 shows an example schematic diagram of a global image of a display screen of a color difference meter according to an embodiment of the present description. As shown in fig. 5, the display screen global image of the color difference meter Xrite includes panoramic image contents of the display screen, such as detection item display contents, detection result display contents, and the like. The color difference meter Xrite is used to obtain CIELAB color measurements, i.e., color measurements with respect to the CIELAB color space. The CIELAB color space can be expressed as lx, which characterizes color as three values, i.e., lx, a, and b. L denotes the perceived brightness, a and b denote four specific colors of human vision, namely red, green, blue and yellow. Three sub-detection results, i.e., L, a, and b, can be obtained using a color difference meter Xrite. The distance from the standard color can be obtained by the three sub-detection results, and whether the detection sample is qualified or not can be judged by using the distance. In this specification, the display screen of each off-line chemical industry inspection apparatus has a corresponding display format, that is, a display screen global layout style. The display global layout sample includes the name of the display area contained, the size of each display area, the location in the display, and the like. In some embodiments, the display global layout style may correspond to a device model, i.e., one model of offline chemical-detection device corresponds to one display global layout style. In some embodiments, a plurality of chemical detection devices with the same or similar models can also correspond to a global layout style of the display screen. Fig. 6 shows an example schematic diagram of display screen global layout style information of a color difference meter according to an embodiment of the present specification. As shown in fig. 6, the display screen global layout sample information of the color difference meter Xrite includes display area names such as a detection item display area, a detection result display area 1, a detection result display area 2, a detection result display area 3, a result deviation display area 1, a result deviation display area 2, a result deviation display area 3, a result deviation display area 4, and the like. In addition, the display screen global layout sample information also shows the size and location of the individual display areas in terms of the size of the boxes and the relative locations of the boxes in the display screen.
The image acquisition apparatus 410 may be implemented using various types of image acquisition devices/modules. Examples of image capture device 410 may include, for example, but are not limited to, a camera, a video camera, a scanner, and the like. For example, in the case where the offline detection data processing apparatus 400 is implemented with a smart mobile terminal (e.g., a smart phone), the image capturing device 410 may be a camera module of the smart mobile terminal. The global image of the display screen acquired by the image acquisition means 410 may be provided to the data processing means 420. In the case where the image capturing device 410 is integrated with the data processing device 420, the display screen global image captured by the image capturing device 410 may be provided to the data processing device 420 via an internal line. Where the image acquisition device 410 is a separate component from the data processing device 420, the display global image acquired by the image acquisition device 410 may be provided to the data processing device 420 via a network (e.g., a wireless network or a wired network).
The data processing device 420 is configured to extract detection result data of a detection sample from the display screen global image based on an image positioning frame matched with a device model of the offline chemical industry detection device. In other words, the data processing device 420 performs OCR extraction processing on the acquired global image of the display screen to obtain detection result data of the detection sample.
Fig. 7 shows an example block diagram of a data processing apparatus 700 according to an embodiment of the present specification. As shown in fig. 7, the data processing apparatus 700 includes an image positioning frame generating unit 710, a detection result area image determining unit 720, and a detection result data extracting unit 730.
The image positioning frame generating unit 710 is configured to generate an image positioning frame that matches the equipment model of the chemical detection equipment, the generated image positioning frame displaying a confidence that the positioned area is the target area. The image positioning frame may be located on (i.e., as part of) or above (i.e., independent of) the display global image, e.g., suspended above the display global image.
Fig. 8 shows an example schematic diagram of an image positioning frame according to an embodiment of the present specification. As shown in fig. 8, the generated image positioning frames include a display screen global image positioning frame and at least one detection result area image positioning frame, such as a detection result area image positioning frame 1, a detection result area image positioning frame 2, and a detection result area image positioning frame 3. The image positioning frame example shown in fig. 8 corresponds to the offline chemical industry inspection apparatus shown in fig. 5, and one corresponding image positioning frame is generated for each inspection result.
In some embodiments, if the sample detection task involves only a part of the three detection results, the image positioning frame generating unit 710 may generate a matched image positioning frame on the acquired global image of the display screen based on the device model of the offline chemical detection device and the sample detection task information, where the generated image positioning frame displays a confidence that the located area is the target area. For example, assuming that only two detection results are involved, a display screen global image positioning frame and two detection result area image positioning frames corresponding to the two detection result display areas are generated. In other words, the generated at least one detection result area image positioning frame includes a detection result area image positioning frame corresponding to the target detection result of the detection sample.
In some embodiments, the image positioning frame generating unit 710 may generate a model via the image positioning frame in the data processing apparatus, and generate an image positioning frame matching the device model of the offline chemical industry detection device according to the device model of the offline chemical industry detection device and the display screen global image. For example, the image localization frame generation model may be pre-trained using historical data (device model number and display screen global image) of the offline chemical industry inspection device. After training the image-positioning-frame generation model, the device model of the offline chemical-industry detection device and the display-screen global image may be provided to the image-positioning-frame generation model, thereby generating an image positioning frame that matches the device model of the offline chemical-industry detection device, e.g., on or over the display-screen global image. In some embodiments, the device model of the offline chemical industry detection device, the global image of the display screen and the sample detection item information can also be provided to the image positioning frame generation model, so that an image positioning frame matched with the device model of the offline chemical industry detection device and the sample detection item is generated. It should be noted that, the image positioning frame generating model may be updated by using data obtained in a subsequent image positioning frame generating process, so as to improve the model performance of the image positioning frame generating model.
In some embodiments, the data processing apparatus 700 may further include a global style information acquisition unit. The global style information acquisition unit is configured to acquire display screen global layout style information matched with the equipment model of the off-line chemical detection equipment from the global layout style information database. Then, the image positioning frame generating unit 710 generates an image positioning frame matched with the equipment model of the offline chemical industry detection equipment according to the acquired global layout style information of the display screen of the offline chemical industry detection equipment.
In some embodiments, the data processing apparatus 700 may further include a device model determination unit. The equipment model determining unit may be configured to determine an equipment model of the offline chemical industry detection equipment according to the acquired display screen global image and the display screen global image stored in the display screen global image database. In some embodiments, the device model determination unit may determine similar display global images of the acquired display global images from a display global image database. For example, the similarity between each display screen global image in the display screen global image database and the acquired display screen global image can be calculated, and then the display screen global image with the largest similarity is taken as the similar display screen global image of the acquired display screen global image. And then, the equipment model determining unit determines the equipment model corresponding to the global image of the similar display screen as the equipment model of the off-line chemical industry detecting equipment.
In some embodiments, the loading container for loading the test specimen has specimen testing task label information thereon, e.g., a specimen testing task label is affixed to the loading container. The image acquisition device 410 may be further used to acquire a test task tag image on a loading container of test samples. Fig. 9 shows an exemplary schematic diagram of sample detection task tag information of a color difference meter according to an embodiment of the present specification. As shown in fig. 9, the sample detection task tag information may include, for example, a sample identification, detection device information, a detection method, a detection item (i.e., a current sample detection task), a detection task identification, and the like. The detection device information may be represented by a device name or device identification information, for example. In this case, the device model determining unit may determine the device model of the offline chemical industry inspection device from the collected inspection task tag image. For example, the device model determination unit may identify sample detection task tag information from the detection task tag image, and determine the device model of the offline chemical industry detection device according to the sample detection task tag information (e.g., detection device information).
In some embodiments, the image acquisition device 410 may be configured to further acquire global images of the offline chemical industry detection apparatus. Here, the global image of the offline chemical industry inspection apparatus refers to a panoramic image of the offline chemical industry inspection apparatus. The global image may include images of various perspectives of the off-line chemical detection device, such as a front view facing the display screen, various side views (particularly side views that may reflect the detection information, such as side views of the side printed with the device signal information), and so forth. In this case, the equipment model determination unit may identify the equipment model of the offline chemical industry detection equipment from the global image.
After the image positioning frame is generated as above, the detection result area image determining unit 720 determines a detection result area image from the display screen global image using the image positioning frame. For example, the detection result area image determination unit 720 may determine an image located from the display screen global image in a state in which the confidence of the image location frame is not lower than the confidence threshold as the detection result area image. Here, in the case where the image positioning frame includes a plurality of image positioning frames, the confidence level of the image positioning frame being not lower than the confidence level threshold means that the confidence level of each image positioning frame is not lower than the respective confidence level threshold. The confidence threshold for each image location box may be the same or different. For example, the confidence level of the global image registration frame may be set below a confidence threshold of the detection result area image registration frame.
Fig. 10 shows an exemplary schematic diagram of an image positioning frame in an image positioning state according to an embodiment of the present specification. In the example of fig. 10, assuming that the confidence threshold of each image positioning frame is 85%, the confidence of the generated global image positioning frame is 92%, the confidence of the l×detection result area image positioning frame is 93%, the confidence of the a×detection result area image positioning frame is 89%, and the confidence of the b×detection result area image positioning frame is 91%, since the confidence of each image positioning frame is greater than the confidence threshold, the images positioned by the l×detection result area image positioning frame, the a×detection result area image positioning frame, and the b×detection result area image positioning frame can be determined as the detection result area images.
After determining the detection result area image, the detection result data extraction unit 730 may extract detection result data of the detection sample from the detection result area image. Here, the detection result data extraction process may be implemented using any image recognition processing method in the art, for example, may be implemented using any OCR processing technique. For example, for the example shown in fig. 10, three detection results, i.e., "L is 60.95", "a is-7.15", and "b is-17.61", can be extracted.
After extracting the detection result data as described above, the data communication apparatus 430 may transmit the extracted detection result data to the downstream device for use by the downstream device. The data communication means 430 may be implemented using any type of data communication device.
In some embodiments, the image acquisition device 410 may be configured to further acquire a detection task tag image on the loading container of the detection sample. Here, the detection task may include various sample detection tasks, that is, may include a sample detection task performed by an upstream chemical detection device, a sample detection task performed by a downstream chemical detection device, and the like, in addition to the current sample detection task. In this case, the data processing apparatus may further include an image recognition unit, a task data structure information determination unit, and a data population unit.
The image recognition unit is configured to recognize sample detection task tag information (detection task tag information as shown in fig. 9) from the detection task tag image. The task data structure information determination unit is configured to determine task data structure information of the sample detection task based on the detection task identification information. For example, the task data structure information determination unit may acquire task data structure information of the sample detection task from the task data structure database based on detection task tag information (e.g., detection task identification).
FIG. 11 illustrates an example schematic diagram of a task data structure according to an embodiment of the present description. As shown in fig. 11, the detection task includes K detection tasks, and the task data structure includes a detection item name and a corresponding numerical value that each detection task needs to detect. Accordingly, the detection result data extraction unit 730 may extract corresponding detection result data from the detection result area image according to the task data structure information. For example, when the detection result area image includes three detection result area images, but the task data structure information includes only two detection results, that is, the detection task involves only two detection results among the three detection results that can be detected by the chemical detection apparatus, only the corresponding two detection result data are extracted. In this case, the data processing apparatus may extract detection result data of the detection sample matching the task data structure information from the display screen global image based on the image positioning frame matching the device model of the offline chemical industry detection device.
After the detection result data is extracted, the data filling unit fills the extracted detection result data into sample detection task data according to task data structure information. Here, the sample detection task data includes sample detection task data from an upstream apparatus, for example, sample detection task data from an upstream chemical detection apparatus, which contains detection result data of the upstream chemical detection apparatus. Fig. 12 shows an example schematic diagram of sample task data filled with sample detection results according to an embodiment of the present specification. In this case, the data communication means transmits the sample detection task data filled with the detection result data to the downstream device.
Fig. 13 shows an example flowchart of an offline detection data processing method 1300 according to an embodiment of the present description.
As shown in fig. 13, at 1310, in response to the offline chemical industry detection device completing offline detection for the detection sample, a display screen global image of the offline chemical industry detection device is acquired via an image acquisition device.
At 1320, detection result data for the detection sample is extracted from the display screen global image via the data processing apparatus based on the image localization frame matching the device model of the offline chemical industry detection device.
Fig. 14 shows an example flowchart of a detection result extraction process 1400 according to an embodiment of the present description.
As shown in fig. 14, at 1410, a device model of an offline chemical industry test device is determined.
In some embodiments, the device model of the offline chemical industry detection device may be determined from the acquired display global image and the display global image stored in the display global image database. For example, similar display global images of the acquired display global images may be determined from a display global image database. In some examples, the similarity between each display global image in the display global image database and the acquired display global image may be calculated, and then the display global image with the greatest similarity may be used as the similar display global image of the acquired display global image. And then, determining the equipment model corresponding to the global image of the similar display screen as the equipment model of the off-line chemical industry detection equipment.
In some embodiments, a detection task tag image on a loading container of a detection sample may be acquired via an image acquisition device, and then a device model of an offline chemical detection device is determined from the acquired detection task tag image. For example, the inspection equipment information may be identified from the inspection task tag image, and an equipment model of the offline chemical industry inspection equipment may be determined based on the inspection equipment information. In some embodiments, global images of the offline chemical industry detection device may be acquired via an image acquisition device. Subsequently, the equipment model of the offline chemical industry detection equipment is identified from the global image.
After the device model is determined, at 1420, an image locating box is generated via the data processing apparatus that matches the device model of the offline chemical industry detection device, the generated image locating box being located on or above the display screen global image and displaying a confidence that the located area is the target area.
In some embodiments, a model may be generated via an image localization frame in the data processing apparatus, and an image localization frame matching the device model of the offline chemical industry detection device may be generated from the device model of the offline chemical industry detection device and the display screen global image. For example, the device model of the offline chemical industry detection device and the display screen global image may be provided to an image localization frame generation model, thereby generating an image localization frame that matches the device model of the offline chemical industry detection device. In some embodiments, the device model of the offline chemical industry detection device, the global image of the display screen and the sample detection item information can also be provided to the image positioning frame generation model, so that an image positioning frame matched with the device model of the offline chemical industry detection device and the sample detection item is generated.
In some embodiments, display screen global layout style information matching the device model of the offline chemical industry detection device may also be obtained from the global layout style information database via the data processing device. And then, generating an image positioning frame matched with the equipment model of the off-line chemical engineering detection equipment according to the acquired global layout style information of the display screen of the off-line chemical engineering detection equipment.
At 1430, it is determined whether the generated image positioning frames satisfy the positioning condition, i.e., whether the confidence level of each image positioning frame is not below a corresponding confidence threshold. If it is determined that the positioning condition is not satisfied, the process returns to 1420, and the image positioning frame continues to be generated.
If it is determined that the positioning condition is satisfied, at 1440, an image positioned from the global image of the display screen in a state where the confidence level of the image positioning frame is not lower than the confidence level threshold is determined as a detection result area image via the data processing device. The generated image positioning frames include a display screen global image positioning frame and at least one detection result area image positioning frame, and an image positioned by the at least one detection result area image positioning frame is determined as a detection result area image. In some embodiments, the at least one detection result area image positioning frame may include a detection result area image positioning frame corresponding to a target detection result of the detection sample.
At 1450, detection result data for the detection sample is extracted from the detection result area image via the data processing device. For example, the detection result data extraction may be implemented using any image recognition processing method in the art. In some embodiments, the above-described test result data extraction process may be performed using any OCR processing technique.
Returning to fig. 13, after the detection result data is extracted as described above, the extracted detection result data is transmitted to the downstream device via the data communication means at 1330 for use by the downstream device.
In some embodiments, a detection task tag image on a loading container of a detection sample may be acquired via an image acquisition device. Here, the detection task may include various sample detection tasks, that is, may include a sample detection task performed by an upstream chemical detection device, a sample detection task performed by a downstream chemical detection device, and the like, in addition to the current sample detection task. Subsequently, detection task identification information is identified from the detection task tag image, and task data structure information of the sample detection task is determined according to the detection task identification information. For example, task data structure information of the sample detection task may be obtained from the task data structure database according to the detection task identification in the detection task identification information. Then, corresponding detection result data may be extracted from the detection result area image according to the task data structure information. And after the detection result data is extracted, filling the extracted detection result data into sample detection task data according to task data structure information. Subsequently, the sample detection task data filled with the detection result data is transmitted to the downstream device via the data communication means.
An offline inspection data processing method, an offline inspection data processing apparatus, and a chemical inspection system according to embodiments of the present specification are described above with reference to fig. 1 to 14.
By utilizing the offline detection data processing scheme, the image acquisition device is used for acquiring the global image of the display screen of the offline chemical detection device and performing OCR (optical character recognition) extraction processing on the global image of the display screen to extract detection result data of the offline chemical detection device, and the detection result data is automatically sent to downstream equipment through the data communication device, so that the sample detection efficiency is improved, and sample detection errors caused by manual operation are avoided.
In addition, by using the offline detection data processing scheme, the image positioning frame matched with the equipment model of the offline chemical detection equipment is generated, and the OCR extraction processing is only carried out on the image positioned by the image positioning frame, so that the workload and the complexity of the OCR processing process are reduced, and the sample detection efficiency and the accuracy of OCR recognition are further improved. In addition, the confidence that the located image area is the target area is displayed on the generated image locating frame, so that the accuracy of OCR recognition is further improved.
In addition, by using the offline detection data processing method, the image positioning frame matched with the equipment model of the offline chemical detection equipment is generated by using the image positioning frame model which is pre-trained, so that the generated image positioning frame can more easily reach the confidence requirement, and the OCR recognition efficiency is improved.
In addition, by using the offline detection data processing method, the detection task identification information is identified from the detection task label image, the task data structure information of the sample detection task is determined according to the detection task identification information, after the detection result data is extracted, the extracted detection result data is filled into the sample detection task data according to the task data structure information, so that the sample detection task data provided for downstream equipment meets the detection task requirements, and the sample detection efficiency is extracted.
It will be appreciated by those skilled in the art that various changes and modifications can be made to the embodiments disclosed above without departing from the spirit of the invention. Accordingly, the scope of the invention should be limited only by the attached claims.
It should be noted that not all the steps and units in the above flowcharts and the system configuration diagrams are necessary, and some steps or units may be omitted according to actual needs. The order of execution of the steps is not fixed and may be determined as desired. The apparatus structures described in the above embodiments may be physical structures or logical structures, that is, some units may be implemented by the same physical entity, or some units may be implemented by multiple physical entities, or may be implemented jointly by some components in multiple independent devices.
In the above embodiments, the hardware units or modules may be implemented mechanically or electrically. For example, a hardware unit, module or processor may include permanently dedicated circuitry or logic (e.g., a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware unit or processor may also include programmable logic or circuitry (e.g., a general purpose processor or other programmable processor) that may be temporarily configured by software to perform the corresponding operations. The particular implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
The detailed description set forth above in connection with the appended drawings describes exemplary embodiments, but does not represent all embodiments that may be implemented or fall within the scope of the claims. The term "exemplary" used throughout this specification means "serving as an example, instance, or illustration," and does not mean "preferred" or "advantageous over other embodiments. The detailed description includes specific details for the purpose of providing an understanding of the described technology. However, the techniques may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the concepts of the described embodiments.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the scope of the disclosure. Thus, the disclosure is not limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An off-line detection data processing method for chemical production, comprising the following steps:
responding to the offline chemical industry detection equipment to finish offline detection of a detection sample, and acquiring a display screen global image of the offline chemical industry detection equipment through an image acquisition device of an offline detection data processing equipment;
providing the equipment model of the off-line chemical industry detection equipment, the display screen global image and sample detection item information for an image positioning frame generation model in a data processing device to generate an image positioning frame matched with the equipment model of the off-line chemical industry detection equipment and the sample detection item, wherein the image positioning frame is positioned on or above the display screen global image and displays the confidence that a positioned area is a target area, and the image positioning frame comprises the display screen global image positioning frame and a detection result area image positioning frame corresponding to the target detection result of the detection sample;
Determining, via the data processing apparatus, an image located from the display screen global image via the detection result area image locating frame in a state in which the confidence level of the image locating frame is not lower than a confidence level threshold value as a detection result area image;
extracting, via the data processing device, detection result data of the detection sample from the detection result area image; and
and transmitting the extracted detection result data to a downstream device through the data communication device of the offline detection data processing device.
2. The offline detection data processing method of claim 1, further comprising:
acquiring a detection task tag image on a loading container of the detection sample through the image acquisition device; and
sample detection task tag information is identified from the detection task tag image through the data processing device, and the equipment model of the offline chemical industry detection equipment is determined according to the sample detection task tag information.
3. The offline detection data processing method of claim 1, further comprising:
acquiring global images of the off-line chemical industry detection equipment through the image acquisition device; and
And identifying the equipment model of the off-line chemical industry detection equipment from the global image through the data processing device.
4. The offline detection data processing method of claim 1, further comprising:
determining similar display screen global images of the acquired display screen global images from a display screen global image database; and
and determining the equipment model corresponding to the global image of the similar display screen as the equipment model of the off-line chemical detection equipment.
5. The offline detection data processing method of claim 1, further comprising:
acquiring a detection task tag image on a loading container of the detection sample through the image acquisition device; and
identifying sample detection task label information from the detection task label image through the data processing device, determining task data structure information of a sample detection task according to the sample detection task label information, filling the detection result data into sample detection task data according to the task data structure information after extracting the detection result data,
transmitting the extracted detection result data to a downstream device via the data communication means of the offline detection data processing device includes:
And transmitting the sample detection task data filled with the detection result data to a downstream device through the data communication device of the offline detection data processing device.
6. The offline detection data processing method according to claim 5, wherein extracting, via the data processing device, detection result data of the detection sample from the detection result area image includes:
and extracting detection result data of the detection sample matched with the task data structure information from the detection result area image through the data processing device.
7. The offline detection data processing method of claim 5, wherein determining, via the data processing apparatus, task data structure information of the sample detection task from the sample detection task tag information comprises:
and acquiring task data structure information of the sample detection task from a task data structure database according to the sample detection task tag information through the data processing device.
8. An offline test data processing method according to claim 5, wherein said sample test task data comprises sample test task data from an upstream device.
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