Automatic distillation range instrument dry point measuring device and method based on machine vision

Abstract

The invention relates to an automatic distillation range instrument dry point measuring device and method based on machine vision, and the device comprises a distillation flask which contains a to-be-measured liquid sample; the heating device is arranged at the bottom of the distillation flask and is used for heating the distillation flask so as to evaporate the liquid sample to be detected in the distillation flask; the steam temperature detection device is arranged in the distillation flask; the image capturer is used for acquiring first image data, and the first image data comprises a plurality of images generated by shooting the bottom of the distillation flask; and the image processor is connected with the image capturer and is used for processing the first image data so as to determine the display temperature of the steam temperature detection device when the last drop of liquid of the to-be-detected liquid sample is evaporated from the lowest point in the distillation flask, and the display temperature is taken as the dry point temperature. The automatic distillation range instrument dry point measuring device based on machine vision can fully automatically measure the dry point of a liquid sample to be measured, and is convenient to operate and relatively high in precision.

Description

Technical Field

[0001] The present application relates to the technical field of dry point determination, and in particular to a device and method for determining the dry point of an automatic distillation range instrument based on machine vision. Background Art

[0002] At present, there are two main methods for determining the distillation range and boiling range dry points of chemical products: 1) Manual dry point determination method, which is purely manual operation and judgment by human eye observation; 2) Automatic dry point determination method, which mainly uses the indirect automatic capture method and places a dry point thermometer at the bottom of the distillation flask to assist in automatic judgment.

[0003] Since human observation cannot automatically determine the dry point, there are problems such as early or delayed measurement results, which are prone to errors. Placing a dry point thermometer at the bottom of the distillation flask also has certain limitations. For example, it is difficult to ensure that the thermometer probe is immersed in the last drop of liquid, resulting in complicated operations and low accuracy. Summary of the invention

[0004] The present application provides a device and method for determining the dry point of an automatic distillation range instrument based on machine vision, so as to solve the problem that the dry point determination of a sample to be tested is inconvenient to operate and has low accuracy.

[0005] In the first aspect, the present application provides an automatic distillation range instrument dry point determination device based on machine vision, and the automatic distillation range instrument dry point determination device based on machine vision comprises: a distillation flask, wherein the interior of the distillation flask contains a liquid sample to be tested; a heating device, which is arranged at the bottom of the distillation flask and is used to heat the distillation flask to evaporate the liquid sample to be tested in the distillation flask; a steam temperature detection device, which is arranged in the distillation flask; an image capturer, which is used to obtain first image data, and the first image data includes multiple images generated by photographing the bottom of the distillation flask; an image processor, which is connected to the image capturer and is used to process the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the distillation flask, and uses the displayed temperature as the dry point temperature.

[0006] In a possible implementation, the image capture device is spaced apart from the distillation flask at the mouth of the distillation flask, and is inclined toward the distillation flask along a direction from the mouth of the distillation flask to the bottom of the distillation flask.

[0007] In a possible implementation, the machine vision-based automatic distillation range instrument dry point determination device also includes: a bracket, on which the distillation flask and the image capturer are fixed; and / or, a lighting device, which is arranged between the image capturer and the distillation flask at the mouth of the distillation flask.

[0008] In one possible implementation, the distillation flask includes a flask body and a branch pipe connected to the flask body, the liquid sample to be tested is located in the flask body, the steam temperature detection device is arranged in the flask body, and the bottom of the steam temperature detection device is arranged corresponding to the branch pipe.

[0009] In a second aspect, the present application provides a method for determining the dry point of an automatic distillation range instrument based on machine vision, the method comprising: acquiring first image data, wherein the first image data comprises a plurality of images generated by photographing the bottom of a flask by an image capturer, the interior of the flask containing a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is disposed at the bottom of the flask, and the steam temperature detection device is disposed in the flask; processing the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry point temperature.

[0010] In a possible implementation, the processing of the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry-point temperature, includes: extracting transient features of the liquid sample to be tested in the multiple images; simulating human eye characteristics through an algorithm to determine a target image, wherein the target image is an image of the last drop of liquid of the liquid sample to be tested in the multiple images when it evaporates from the lowest point in the flask; and determining the display temperature of the steam temperature detection device as the dry-point temperature.

[0011] In a possible implementation, the automatic distillation instrument dry point determination method based on machine vision also includes: when acquiring the first image data, controlling a lighting device to illuminate the flask, wherein the lighting device is arranged between the image capture device and the flask at the mouth of the flask.

[0012] In a possible implementation, the method for determining the dry point of an automatic distillation range instrument based on machine vision further includes: sending the first image data to a storage device for storage.

[0013] In the third aspect, the present application provides an automatic distillation range instrument dry point determination device based on machine vision, and the automatic distillation range instrument dry point determination device based on machine vision includes: an acquisition module, used to acquire first image data, wherein the first image data includes multiple images generated by photographing the bottom of a flask by an image capturer, the interior of the flask contains a liquid sample to be tested, and the bottom of the flask is provided with a heating device for heating the flask to evaporate the liquid sample to be tested in the flask, and the steam temperature detection device is arranged in the flask; a determination module, used to process the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and use the displayed temperature as the dry point temperature.

[0014] In a fourth aspect, the present application provides an automatic distillation meter dry point measuring device based on machine vision, the automatic distillation meter dry point measuring device based on machine vision comprising a processor and a memory, the processor being used to execute a control program of the automatic distillation meter dry point measuring device based on machine vision stored in the memory, so as to implement the steps of the automatic distillation meter dry point measuring method based on machine vision described in the second aspect above.

[0015] In a fifth aspect, the present application further provides a computer storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the steps of the method for determining dry point of an automatic distillation range instrument based on machine vision described in the second aspect above.

[0016] The above-mentioned technical scheme provided by the embodiment of the present application has the following advantages compared with the prior art: the automatic distillation instrument dry point determination device based on machine vision provided by the embodiment of the present application, first, photographs the bottom of the distillation flask and the steam temperature detection device through an image capture device to generate multiple images, namely, first image data; then, the first image data is processed by an image processor to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the distillation flask, and the displayed temperature is used as the dry point temperature, thereby realizing fully automatic determination of the dry point of the liquid sample to be tested, which is easy to operate and has high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0020] Figure 1 A schematic diagram of the partial structure of a device for determining the dry point of an automatic distillation range instrument based on machine vision provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the partial structure of another automatic distillation range instrument dry point determination device based on machine vision provided in an embodiment of the present application;

[0022] Figure 3 A schematic flow chart of a method for determining dry point of an automatic distillation range instrument based on machine vision provided in an embodiment of the present application;

[0023] Figure 4 A schematic diagram of the structure of another automatic distillation range instrument dry point determination device based on machine vision provided in an embodiment of the present application;

[0024] Figure 5 A schematic structural diagram of another automatic distillation range instrument dry point determination device based on machine vision provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0026] The disclosure below provides many different embodiments or examples to implement different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0027] In the related art, the distillation instrument dry point determination (capture) method can be manual or automatic instrument. Among them, the manual dry point determination method, that is, the artificial visual capture method, is a purely manual operation. Specifically, the operator follows the steps and methods specified in the "Method for Determining the Atmospheric Distillation Characteristics of Petroleum Products" and observes the last drop of liquid (excluding any droplets or liquid films on the wall of the distillation flask or the temperature measuring device) evaporating from the lowest point in the flask with the human eye (observed by the human eye) to calibrate the thermometer reading and record it. This temperature is the dry point. In addition, the automatic instrument dry point determination method can include the following two schemes:

[0028] 1) The manual dry point capture method of the automatic instrument: the operator follows the steps and methods specified in the "Method for Determination of Atmospheric Pressure Distillation Characteristics of Petroleum Products". At the stage where the dry point needs to be captured, the operator observes the moment when the last drop of liquid (excluding any droplets or liquid films on the wall of the distillation flask or the temperature measuring device) evaporates from the lowest point in the flask with the human eye, and manually triggers the dry point switch of the automatic instrument (that is, notifies the instrument that this is the dry point, and the instrument will synchronously read the temperature value of the calibrated thermometer and record it). This temperature is the dry point.

[0029] Although this solution is integrated into automatic instruments, it is not often used because it has uncertainties and requires human intervention and cannot be completed automatically. In addition, its repeatability and reproducibility are greatly affected by human factors. For example, it depends on the operator's ability and quality, resulting in uncertainty in accuracy.

[0030] 2) The indirect automatic capture method of the dry point of the automatic instrument determines the dry point temperature by detecting the step change in the temperature of the bottom wall of the flask when the last drop of liquid evaporates from the lowest point in the flask. The specific process can be as follows: insert a thermocouple thermometer probe of about Φ1.5mm into the distillation flask, with its end in contact with the bottom of the flask. The detection principle is that when the last drop of liquid evaporates, the thermometer probe detects the temperature step change at the bottom of the flask (the heater heats the bottom of the flask, and heats the liquid in the flask through the bottom wall of the flask. The temperature of the bottom wall of the flask will change stepwise when the last drop of liquid evaporates), and it should be the first step, which is the dry point.

[0031] The above scheme has the following problems due to the limitations of detection method, structural design and detection principle: ① The contact between the thermocouple thermometer probe and the bottom of the flask is not close enough, resulting in the inability to detect the temperature step change in time; ② There is a deviation in the placement position of the thermocouple thermometer probe each time, which may not be the lowest point; In addition, due to factors such as the surface tension of the liquid, the uneven heat conduction of the bottom wall of the flask (uneven thickness), and the non-vertical placement of the flask, the last drop of liquid is discretely distributed at any position within a range, rather than fixed at one point, and the energy obtained by the liquid is dynamic, which will also cause this drop of liquid to "float erratically". These factors will inevitably make it difficult to ensure that the thermometer probe is immersed in the last drop of liquid, and the first temperature step is not generated by the last drop, resulting in the temperature step being detected. It may not be a real dry point. Therefore, due to the inherent extremely high false detection rate, high miss rate, high failure rate, and complicated operation, the above scheme has poor measurement repeatability and reproducibility, and it is difficult to meet the requirements of the standard.

[0032] In order to solve the technical problems in the related art that the dry point determination of the sample to be tested is inconvenient to operate and has low accuracy, the present application provides an automatic distillation range instrument dry point determination device based on machine vision, which can automatically determine the dry point of the liquid sample to be tested, is easy to operate, and has high accuracy.

[0033] Figure 1 The following is a partial structural diagram of a machine vision-based automatic distillation range instrument dry point determination device provided in an embodiment of the present application. Figure 1 As shown, the automatic distillation range instrument dry point determination device based on machine vision includes a distillation flask 1, a heating device 2, a steam temperature detection device 3, an image capturer 4 and an image processor (not shown in the figure). The distillation flask 1 contains a liquid sample to be tested. The heating device 2 is arranged at the bottom of the distillation flask 1, and is used to heat the distillation flask 1 so that the liquid sample to be tested in the distillation flask 1 evaporates. The steam temperature detection device 3 is arranged in the distillation flask 1. Exemplarily, the steam temperature detection device 3 can be a steam temperature sensor. The image capturer 4 is used to obtain first image data, and the first image data includes multiple images generated by shooting the bottom of the distillation flask 1. The image processor is connected to the image capturer 4 and is used to process the first image data to determine the display temperature of the steam temperature detection device 3 when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the distillation flask 1, and uses the displayed temperature as the dry point temperature.

[0034] In some embodiments, the image capturer 4 and the image processor may be integrated together; in other embodiments, the image capturer 4 and the image processor are separately provided.

[0035] The automatic distillation instrument dry point determination device based on machine vision provided in the embodiment of the present application first photographs the bottom of the distillation flask through an image capture device to generate multiple images, namely, first image data; then, the first image data is processed by an image processor to determine the display temperature of the vapor temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the distillation flask, and the displayed temperature is used as the dry point temperature, thereby realizing fully automatic determination of the dry point of the liquid sample to be tested, which is easy to operate and has high accuracy.

[0036] In order to ensure that the image capture device 4 can completely capture the bottom of the distillation flask 1, for example, Figure 1 In the figure, the image capturer 4 is spaced apart from the distillation flask 1 at the mouth of the distillation flask 1 and is inclined toward the distillation flask 1 along the direction from the mouth of the distillation flask 1 to the bottom of the distillation flask 1 .

[0037] Figure 2 A partial structural diagram of another automatic distillation range instrument dry point determination device based on machine vision provided in an embodiment of the present application. Figure 2 As shown, in order to facilitate the fixing of the distillation flask 1 and the image capturer 4 , the automatic distillation range instrument dry point determination device based on machine vision further includes a bracket 5 , and the distillation flask 1 and the image capturer 4 are fixed on the bracket 5 .

[0038] Furthermore, in order to ensure that the image capturer 4 can clearly capture the distillation flask 1 and the steam temperature detection device 3 , the automatic distillation range meter dry point determination device based on machine vision also includes a lighting device 6 , which is arranged between the image capturer 4 and the distillation flask 1 at the mouth of the distillation flask 1 .

[0039] Furthermore, in order to ensure that the steam temperature detection device 3 can accurately measure the dry point temperature, as Figure 2 As shown, the distillation flask 1 includes a flask body 11 and a branch pipe 12 connected to the flask body 11, the liquid sample to be tested is located in the flask body 11, the steam temperature detection device 3 is arranged in the flask body 11, and the bottom of the steam temperature detection device 3 is arranged corresponding to the branch pipe 12.

[0040] In summary, the automatic distillation range instrument dry point determination device based on machine vision of the embodiment of the present application is an automatic distillation range determination instrument, which adopts machine vision technology and can fully automatically and accurately determine the dry point of the sample in the distillation range. During the experiment, an image capturer is placed next to the distillation flask, and an illumination device can be added as a supplementary light source. The machine vision principle of the image capturer is used to automatically capture the remaining state of the sample at the lowest point of the distillation flask in real time, and the image data captured by the image capturer is saved on the computer. The image is processed in real time by computer technology to extract the transient characteristics of the liquid. Through a series of algorithms, the characteristics of the human eye are accurately simulated to identify the real temperature of the last drop of liquid sample when it evaporates from the lowest point in the flask (that is, the detection temperature of the temperature detection device at this time), that is, the dry point, thereby realizing the accurate determination of the dry point of the sample, and the temperature obtained in this way is closer to the real dry point of the sample. In addition, this method completely reproduces the characteristics of the instantaneous state of the last drop of liquid evaporating from the lowest point in the flask observed by the human eye, and eliminates the deviation caused by individual differences in the human eye, so that the repeatability and reproducibility of the measurement are unprecedentedly well guaranteed.

[0041] Furthermore, the process of measuring dry point by the automatic distillation range instrument dry point determination device based on machine vision in the embodiment of the present application can follow the relevant provisions in the "Method for Determination of Atmospheric Pressure Distillation Characteristics of Petroleum Products", and meet the requirements for sample dry point determination in the distillation characteristics determination method standard. It has a simple structure, convenient operation, low labor intensity, low false detection rate, missed detection rate, and production cost, high efficiency and accuracy, good repeatability and reproducibility, no damage, and traceability for reference.

[0042] Figure 3 The present invention provides a flow chart of a method for determining the dry point of an automatic distillation range instrument based on machine vision. The method for determining the dry point of an automatic distillation range instrument based on machine vision can be applied to the above-mentioned automatic distillation range instrument based on machine vision dry point determination device. Figure 3 As shown, the method for determining the dry point of an automatic distillation instrument based on machine vision may include the following steps:

[0043] S301, obtaining first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of a flask by an image capturer, the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is disposed at the bottom of the flask, and a steam temperature detection device is disposed in the flask.

[0044] In some embodiments, in order to ensure the clarity of the image taken by the image capturer, when acquiring the first image data, the lighting device is controlled to illuminate the flask, wherein the lighting device is arranged between the image capturer and the flask at the mouth of the flask.

[0045] Furthermore, the method for determining the dry point of an automatic distillation process instrument based on machine vision further includes: sending the first image data to a storage device for storage. Since the video image of the entire process of the dry point determination, i.e., the first image data, is stored in real time on a storage device such as a computer, this allows for traceability, which is not possible with manual and indirect methods of determining the dry point.

[0046] S302, processing the first image data to determine the displayed temperature of the vapor temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry point temperature.

[0047] Exemplarily, in the process of processing the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry-point temperature, the following steps may be specifically included: first, extracting the transient characteristics of the liquid sample to be tested in multiple images; then, simulating the characteristics of the human eye through an algorithm to determine the target image, wherein the target image is the image when the last drop of liquid of the liquid sample to be tested in the multiple images evaporates from the lowest point in the flask; and then, determining the display temperature of the steam temperature detection device as the dry-point temperature.

[0048] Figure 4 The following is a schematic diagram of the structure of another automatic distillation range instrument dry point determination device based on machine vision provided in the embodiment of the present application. Figure 4 As shown, the automatic distillation instrument dry point determination device 400 based on machine vision includes an acquisition module 401 and a determination module 402. The acquisition module 401 is used to acquire first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of a flask by an image capture device, the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is arranged at the bottom of the flask, and a steam temperature detection device is arranged in the flask. The determination module 402 is used to process the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and use the displayed temperature as the dry point temperature.

[0049] In one possible implementation, the determination module 402 is specifically used to: extract transient features of the liquid sample to be tested in multiple images; simulate the characteristics of the human eye through an algorithm to determine a target image, wherein the target image is an image of the last drop of liquid of the liquid sample to be tested in the multiple images when evaporating from the lowest point in the flask; and determine the display temperature of the steam temperature detection device as the dry point temperature.

[0050] In one possible implementation, the automatic distillation instrument dry point determination device 400 based on machine vision also includes a control module, which is used to control the lighting device to illuminate the flask and the steam temperature detection device when acquiring the first image data, wherein the lighting device is arranged between the image capture device and the flask at the mouth of the flask.

[0051] In a possible implementation, the automatic distillation range instrument dry point determination device 400 based on machine vision further includes a sending module, and the sending module is used to send the first image data to a storage device for storage.

[0052] Figure 5 A schematic diagram of the structure of another automatic distillation range instrument dry point determination device based on machine vision provided in an embodiment of the present application. Figure 5 As shown, the automatic distillation instrument dry point determination device 500 based on machine vision includes at least one processor 501, a memory 502, at least one network interface 504 and other user interfaces 503. The various components in the automatic distillation instrument dry point determination device 500 based on machine vision are coupled together through a bus system 505. It can be understood that the bus system 505 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 505 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, in Figure 5 Various buses are labeled as bus system 505 .

[0053] The user interface 503 may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touch pad, or a touch screen).

[0054] It can be understood that the memory 502 in the embodiment of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DRRAM). The memory 502 described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0055] In some embodiments, the memory 502 stores the following elements: executable units or data structures, or their subsets, or their extensions. Exemplarily, the memory 502 includes an operating system 5021 and an application 5022. Among them, the operating system 5021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 5022 includes various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. In addition, the program for implementing the method of the embodiment of the present application can be included in the application 5022.

[0056] In an embodiment of the present application, by calling a program or instruction stored in the memory 502, specifically, a program or instruction stored in the application 5022, the processor 501 is used to execute the method steps provided by each method embodiment, for example, including: acquiring first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of a flask by an image capturer, the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is provided at the bottom of the flask, and the steam temperature detection device is provided in the flask; processing the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry point temperature.

[0057] The method disclosed in the above embodiment of the present application can be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 501. The above processor 501 can be a general processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or the hardware and software units in the decoding processor can be executed. The software unit can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 502, and the processor 501 reads the information in the memory 502 and completes the steps of the above method in combination with its hardware.

[0058] It is understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPDevice, DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described in the present application, or a combination thereof.

[0059] For software implementation, the technology described herein can be implemented by a unit that performs the functions described herein. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0060] The automatic distillation range instrument dry point determination device based on machine vision provided in this embodiment can be as follows Figure 5 The automatic distillation process instrument dry point determination device based on machine vision shown in FIG can perform the following operations: Figure 3 All steps of the automatic distillation instrument dry point determination method based on machine vision are implemented, so as to achieve Figure 3 The technical effect of the automatic distillation instrument dry point determination method based on machine vision is shown in the figure. For details, please refer to Figure 3 For the sake of brevity, the relevant description is not repeated here.

[0061] The embodiment of the present application also provides a storage medium (computer-readable storage medium). The storage medium here stores one or more programs. Among them, the storage medium may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state hard disk; the memory may also include a combination of the above-mentioned types of memory. One or more programs in the storage medium can be executed by one or more processors to implement the above-mentioned automatic distillation range instrument dry point determination method based on machine vision.

[0062] The processor is used to execute a control program of an automatic distillation range instrument dry point determination device based on machine vision stored in a memory to implement the following steps of an automatic distillation range instrument dry point determination method based on machine vision, for example including: acquiring first image data, wherein the first image data includes a plurality of images generated by photographing a bottom of a flask by an image capturer, the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is provided at the bottom of the flask, and the steam temperature detection device is provided in the flask; processing the first image data to determine the display temperature of the steam temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry point temperature.

[0063] The professionals should further realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0064] It should be noted that the phrases "one implementation", "an embodiment", "an exemplary embodiment", "some embodiments", etc. mentioned in the specification indicate that the described embodiments may include certain features, structures or characteristics, but not every embodiment may include the certain features, structures or characteristics. In addition, such phrases do not necessarily refer to the same embodiment. In addition, when describing certain features, structures or characteristics in conjunction with an embodiment, it is within the knowledge of those skilled in the art to implement such features, structures or characteristics in conjunction with other embodiments, whether explicitly or not explicitly described.

[0065] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An automatic distillation range instrument dry point determination device based on machine vision, characterized in that: include: A distillation flask (1), wherein the distillation flask (1) contains a liquid sample to be tested; A heating device (2) is arranged at the bottom of the distillation flask (1) and is used to heat the distillation flask (1) so as to evaporate the liquid sample to be tested in the distillation flask (1); A steam temperature detection device (3) is arranged in the distillation flask (1); An image capture device (4) for acquiring first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of the distillation flask (1); An image processor is connected to the image capture device (4) and is used to process the first image data to determine the displayed temperature of the vapor temperature detection device (3) when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the distillation flask (1), and use the displayed temperature as the dry point temperature.

2. The automatic distillation range instrument dry point determination device based on machine vision according to claim 1, characterized in that: The image capture device (4) is spaced apart from the distillation flask (1) at the mouth of the distillation flask (1), and is inclined toward the distillation flask (1) along the direction from the mouth of the distillation flask (1) to the bottom of the distillation flask (1).

3. The automatic distillation range instrument dry point determination device based on machine vision according to claim 1, characterized in that: Also includes: a support (5), the distillation flask (1) and the image capture device (4) being fixed on the support (5); and / or, A lighting device (6) is arranged between the image capture device (4) and the distillation flask (1) at the mouth of the distillation flask (1).

4. The automatic distillation range instrument dry point determination device based on machine vision according to any one of claims 1 to 3, characterized in that: The distillation flask (1) comprises a flask body (11) and a branch pipe (12) connected to the flask body (11); the liquid sample to be tested is located in the flask body (11); the steam temperature detection device (3) is arranged in the flask body (11), and the bottom of the steam temperature detection device (3) is arranged corresponding to the branch pipe (12).

5. A method for determining the dry point of an automatic distillation range instrument based on machine vision, characterized in that: include: Acquire first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of a flask by an image capture device, the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is disposed at the bottom of the flask, and the vapor temperature detection device is disposed in the flask; The first image data is processed to determine the displayed temperature of the vapor temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and the displayed temperature is used as the dry point temperature.

6. The method for determining dry point of an automatic distillation range instrument based on machine vision according to claim 5, characterized in that: The processing of the first image data to determine the displayed temperature of the vapor temperature detection device when the last drop of the liquid sample to be tested evaporates from the lowest point in the flask, and using the displayed temperature as the dry point temperature, comprises: Extracting transient features of the liquid sample to be tested from the multiple images; Simulating the characteristics of human eyes by an algorithm to determine a target image, wherein the target image is an image of the last drop of liquid of the liquid sample to be tested in the multiple images when evaporating from the lowest point in the flask; At this time, the displayed temperature of the steam temperature detection device is determined as the dry point temperature.

7. The method for determining dry point of an automatic distillation range instrument based on machine vision according to claim 5, characterized in that: Also includes: When acquiring the first image data, a lighting device is controlled to illuminate the flask, wherein the lighting device is arranged between the image capture device and the flask at the mouth of the flask.

8. The method for determining dry point of an automatic distillation range instrument based on machine vision according to any one of claims 5 to 7, characterized in that: Also includes: The first image data is sent to a storage device for storage.

9. An automatic distillation range instrument dry point determination device based on machine vision, characterized in that: The automatic distillation range instrument dry point determination device based on machine vision comprises: an acquisition module, configured to acquire first image data, wherein the first image data includes a plurality of images generated by photographing the bottom of a flask by an image capture device, wherein the interior of the flask contains a liquid sample to be tested, a heating device for heating the flask to evaporate the liquid sample to be tested in the flask is disposed at the bottom of the flask, and the steam temperature detection device is disposed in the flask; The determination module is used to process the first image data to determine the displayed temperature of the vapor temperature detection device when the last drop of liquid of the liquid sample to be tested evaporates from the lowest point in the flask, and use the displayed temperature as the dry point temperature.

10. An automatic distillation range instrument dry point determination device based on machine vision, characterized in that: It comprises a processor and a memory, wherein the processor is used to execute a control program of an automatic distillation range instrument dry point determination device based on machine vision stored in the memory, so as to implement the steps of an automatic distillation range instrument dry point determination method based on machine vision according to any one of claims 5 to 8.

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