Automatic photographing identification method for Baume degree of seawater halogen production

Abstract

The invention belongs to the technical field of seawater salt production industry, and discloses an automatic photographing identification method for Baume degree of seawater halogen production. Acquiring a historical baume degree value of the brine preparation pool to be detected; determining the range of the Baume degree meter according to the historical Baume degree value, calculating the balance weight mass of the Baume degree meter and the scale spacing in the range, forming a scale label based on the scale spacing, and assembling according to the balance weight mass and the scale label to obtain the Baume degree meter; installing a baume degree meter on a photographing recognition device; and obtaining the scale position of the scale label on the Baume degree meter reached by the brine in the brine barrel shot by the camera equipment, and obtaining the Baume degree value of the brine making pond according to the scale position. According to the method, the Baume degree is automatically identified through photographing by using the specially designed Baume degree meter, and the problems of low efficiency, large labor demand and limited precision of a traditional method are solved.

Description

Technical Field

[0001] The invention belongs to the technical field of seawater salt production industry, and specifically relates to an automatic photographic identification method for seawater halogen Baume. Background Art

[0002] The sea salt production process includes five parts: tidal intake, brine preparation, crystallization, salt collection, and transportation. The traditional sea salt production operation area is large, with many equipments, scattered distribution, low production efficiency, poor working environment, and shortage of technical personnel. Various data in the sea salt production process are mainly collected, uploaded, and analyzed manually, which not only has low work efficiency, but also is not convenient for data preservation and production research and judgment. At the same time, a large number of outdoor operations require workers to face extreme weather such as heat, strong winds, heavy rain, and blizzards, and there are many dangerous factors.

[0003] In recent years, with the accelerated innovation of computer Internet and other technical equipment, the social production mode has changed dramatically, and intelligent manufacturing has penetrated into various traditional production activities, giving new vitality to traditional industries. Modern technologies such as automation, Internet of Things, and data analysis have changed the production and operation mode of traditional manufacturing, and the integration of traditional industries and information technology has become the mainstream of development. The addition of information technology makes data processing more scientific, accurate, and visual. However, for the measurement of Baume degrees, there are still many problems in the integration of traditional industries and information technology, especially the problem of insufficient accuracy. Summary of the invention

[0004] The purpose of the present invention is to provide a method for automatically identifying the Baume degree in seawater halogen production by photographing. The traditional Baume degree measurement method is to obtain the Baume degree value by manually reading the Baume meter, which is not only inefficient, but also short of manpower, and the safety of workers in harsh working environments cannot be effectively guaranteed. The method uses a specially designed Baume meter to realize automatic identification of Baume degree by photographing, solving the problems of low efficiency, large labor requirements and limited accuracy of the traditional method.

[0005] To achieve the above object, the technical solution adopted by the present invention is:

[0006] A method for automatically photographing and identifying the Baume degree of halogen produced by seawater, the method comprising:

[0007] Obtain the historical Baume value of the brine pool to be tested;

[0008] The range of the Baume meter is determined according to the historical Baume values, and the weight of the Baume meter and the scale spacing within the range are calculated, and scale labels are formed based on the scale spacing. The Baume meter is assembled according to the weight of the weight and the scale labels; the Baume meter includes a central hollow tube and an even number of peripheral hollow tubes, the peripheral hollow tubes are symmetrically arranged on the periphery of the central hollow tube, and the bottoms of the central hollow tube and the peripheral hollow tubes are flush, the top of the central hollow tube is higher than the top of the peripheral hollow tube, the weight is evenly placed in the central hollow tube and the peripheral hollow tube, and the scale labels are arranged at a position where the central hollow tube is higher than the peripheral hollow tube;

[0009] The Baume meter is installed on a photographic identification device, wherein the photographic identification device comprises a brine bucket and a camera device. The brine bucket is hollow inside and has an opening at the top. The brine bucket circulates and extracts brine from the brine pool and keeps the brine overflowing. The Baume meter is placed in the brine bucket through the opening at the top of the brine bucket.

[0010] The scale position of the scale label on the Baume meter reached by the brine in the brine barrel photographed by the camera device is obtained, and the Baume value of the brine making pool is obtained according to the scale position.

[0011] Several optional methods are also provided below, but they are not intended to be additional limitations on the above-mentioned overall solution, but are merely further supplements or preferences. Under the premise that there are no technical or logical contradictions, each optional method can be combined with the above-mentioned overall solution separately, and multiple optional methods can also be combined.

[0012] Preferably, the middle hollow tube and the outer hollow tube are both organic glass tubes.

[0013] Preferably, the step of determining the measuring range of the Baume meter according to the historical Baume values ​​comprises:

[0014] Take the minimum value of the historical Baume values ​​and round it down as the lower limit of the range;

[0015] Take the maximum value of the historical Baume values ​​and round it up as the upper limit of the measuring range.

[0016] Preferably, the method of calculating the counterweight mass of the Baume meter and the scale spacing within the measuring range includes:

[0017] The part where the middle hollow pipe is higher than the outer hollow pipe is taken as the measuring part, and the drainage length of the measuring part is set as h 实 , the cross section of the Baume meter is S 底 , then the relationship between the Baume value °Bé and the total mass m of the Baume meter is as follows:

[0018]

[0019] Take the Baume value °Bé as an integer in the range of the Baume meter and substitute it into the formula to obtain the total mass m of the Baume meter, based on m=m 配 +m 管 , get the weight mass m of the Baume meter 配 , where m 管 V is the mass of the hollow tube of the Baume meter itself, 粗 It is the total drainage volume of the outer hollow tube of the Baume meter and the part of the middle hollow tube that does not protrude above the outer hollow tube;

[0020] Calculate the Baume value °Bé with respect to h 实 The derivative of , we get:

[0021]

[0022] In the formula, Δ°Bé is the accuracy of the Baume meter, Δh 实 The Baume value changes by Δ°Bé, and the distance the Baume meter sinks / floats is the scale spacing of the Baume meter, ρ 水 is the density of water, ρ 水 =1g / cm 3 ;

[0023] According to the known accuracy of the Baume meter Δ°Bé, the scale spacing Δh of the Baume meter is obtained. 实 .

[0024] Preferably, the scale label is a binary number label, each binary number corresponds to a Baume value, forming a binary number-Baume value comparison table, the spacing between adjacent binary numbers is the scale spacing, and the first characteristic graphic is used to represent 0 in the binary number label, and the second characteristic graphic is used to represent 1.

[0025] Preferably, the camera device needs to perform a pre-recognition before formal photo recognition, and the pre-recognition process is as follows:

[0026] Take a scale image of the scale label on the Baume meter, and select the scale position with the smallest distortion in the scale image as the ROI area;

[0027] Identify the binary number in the ROI area and obtain the measured Baume value according to the binary number-Baume value comparison table;

[0028] The actual Baume value in the brine pool is obtained. If the error between the measured Baume value and the actual Baume value is within the error threshold, the pre-identification ends; otherwise, the binary number-Baume value comparison table is updated according to the actual Baume value, and the image is re-taken for pre-identification.

[0029] Preferably, the photo recognition device further includes a light sensor and a fill light;

[0030] The light sensor is used to obtain the light intensity of the current environment;

[0031] The fill light is used to turn on for light compensation when the light intensity of the current environment is lower than the intensity threshold.

[0032] The method for automatically photographing and identifying the Baume degree of seawater brine provided by the present invention combines automation with the traditional salt-making industry in combination with the actual operating requirements of the brine pool. A Baume meter is designed using a square organic glass tube to replace the traditional Baume meter, and a method of photographing and identifying the Baume value is used to replace manual reading, and the data is stored in a standardized manner. Organic glass tubes are inexpensive, the salt field occupies a large area and the number of brine pools is large. The present invention greatly improves the operating efficiency while saving expenses. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of an automatic photographic identification method for halogen Baume produced from seawater according to the present invention;

[0034] Figure 2 The schematic diagram of the Baume meter in the theoretical basis of the present invention;

[0035] Figure 3 A schematic diagram of the structure of a Baume meter provided by the present invention;

[0036] Figure 4 The present invention is based on Figure 3 Schematic diagram of the Baume meter for calculating the weight and scale spacing;

[0037] Figure 5 It is a schematic diagram of vertical floating condition analysis;

[0038] Figure 6 A scale label schematic diagram is provided for the present invention;

[0039] Figure 7 It is a structural schematic diagram of the photographic recognition device of the present invention;

[0040] Figure 8 This is a schematic diagram of a ROI area provided by the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0043] like Figure 1 As shown, this embodiment provides a method for automatically photographing and identifying halogen-based bauxite from seawater, comprising the following steps:

[0044] Step 1: Obtain the historical Baume value of the brine pool to be tested. The historical Baume value obtained here is the historical data within a historical period, which can be the Baume value of the previous week or the previous day. The historical period can be selected according to the needs.

[0045] Step 2: determine the range of the Baume meter according to the historical Baume values, calculate the weight mass of the Baume meter and the scale spacing within the range, form scale labels based on the scale spacing, and assemble the Baume meter according to the weight mass and the scale labels.

[0046] In order to realize the measurement of Baume value of brine pool under any environment, this embodiment proposes a new Baume meter, so that according to the historical Baume value of the current brine pool, a corresponding Baume meter can be designed and a suitable Baume scale can be selected, and the corresponding lead weight and scale label can be inserted to obtain a Baume meter corresponding to the current environment. The purpose is that the Baume meter has a fixed shape, but different hydrometers can be selected according to different brine pools, with high accuracy.

[0047] like Figure 2 As shown, the theoretical basis for the design of the Baume meter is as follows:

[0048] The rectangular parallelepiped with a square bottom is used as the Baume meter in the theoretical derivation. The drainage length h of the Baume meter is obtained according to the buoyancy formula, density and Baume conversion formula. 理 , cross section S 底 Relationship with Baume value:

[0049] G=F 浮 =ρgV 排 =ρgS 底 h 理

[0050] Where G is the gravity of the Baume meter, F 浮 is the buoyancy of the Baume meter in brine, ρ is the density of brine, g is the acceleration of gravity, V 排 It is the displacement volume of the Baume meter in brine; the displacement length is understood as the height of the Baume meter after discharging water volume divided by the cross section.

[0051] Get the Baume meter drainage length h 理The relationship between it and the brine density ρ is as follows:

[0052]

[0053] For brine whose liquid specific gravity is greater than that of water, the following relationship exists:

[0054]

[0055] Where °Bé is the Baume value, SG represents the specific gravity of brine relative to water at 60℉ (15.6℃), and the solution is:

[0056] SG = brine density / water density

[0057] The density of water is known, and the density of water is 1g / cm 3 , then numerically SG = brine density.

[0058]

[0059]

[0060] Calculate the Baume value °Bé with respect to h 理 The derivative of , we get:

[0061]

[0062] In the formula, Δ°Bé is the accuracy of the Baume meter, Δh 理 The Baume value changes by Δ°Bé, and the distance the Baume meter sinks / floats is the scale spacing of the Baume meter, ρ 水 is the density of water, and the accuracy of the Baume meter Δ°Bé is related to the scale spacing Δh 理 There is a linear relationship.

[0063] The Baume meter designed based on the above theory includes a central hollow tube and an even number of peripheral hollow tubes. The peripheral hollow tubes are symmetrically arranged on the circumference of the central hollow tube, and the bottoms of the central hollow tube and the peripheral hollow tubes are flush, the top of the central hollow tube is higher than the top of the peripheral hollow tubes, the counterweights are evenly placed in the central hollow tube and the peripheral hollow tubes, and the scale labels are arranged at a position where the central hollow tube is higher than the peripheral hollow tubes.

[0064] The middle hollow tube and the outer hollow tube of this embodiment are both organic glass tubes. Specifically, square organic glass tubes with lengths of 20cm and 10cm, outer diameter of 10mm, inner diameter of 8mm, and wall thickness of 1mm are used to design the Baume meter. The cross section of the square organic glass tube is square. One organic glass tube with a length of 20cm is selected as the middle hollow tube, and eight organic glass tubes with a length of 10cm (an even number is sufficient, such as 6, 10, etc., selected according to actual conditions) are selected as the outer hollow tubes. The eight outer hollow tubes are evenly arranged on the periphery of the middle hollow tube, such as Figure 3 shown.

[0065] Applying the theoretical basis to the specific structure of the Baume meter, the theoretical Baume meter is a rectangular parallelepiped, while the actual Baume meter has a rectangular parallelepiped with a thickened bottom section and a thinner top section, because in actual use, the thickened bottom section of the actual Baume meter is always below the water surface and is always part of the displacement volume. The buoyancy actually works on the displacement volume, so the theoretical Baume meter and the actual Baume meter need to keep the same cross-section of the dew part, and the thickened bottom section of the actual Baume meter is sufficient to make the total displacement volume of the actual Baume meter consistent with the total displacement volume of the theoretical Baume meter.

[0066] The total displacement volume of the theoretical Baume meter is S 底 h 理 ,like Figure 4 As shown, the total displacement volume of the actual Baume meter is S 底 h 实 +V 粗 , V 粗 is the total drainage volume of the outer hollow tube of the Baume meter and the part of the middle hollow tube that is not higher than the outer hollow tube. Therefore, the relationship between the Baume value °Bé and the total mass m of the Baume meter is as follows:

[0067]

[0068] In this embodiment, S 底 =1cm 2 , so V 粗 =90cm 3 .

[0069] Take the Baume value °Bé as an integer in the range of the Baume meter and substitute it into the formula to obtain the total mass m of the Baume meter, based on m=m 配 +m 管 , get the weight mass m of the Baume meter 配 , where m 管 is the mass of the hollow tube of the Baume meter itself.

[0070] Calculate the Baume value °Bé with respect to h 实 The derivative of , we get:

[0071]

[0072] Where Δ°Bé is the accuracy of the Baume meter, for example, Δ°Bé = 0.1, Δh 实 The Baume value changes by Δ°Bé, and the distance the Baume meter sinks / floats is the scale spacing of the Baume meter, ρ 水 is the density of water, ρ 水 =1g / cm 3 .

[0073] According to the known accuracy of the Baume meter Δ°Bé, the scale spacing Δh of the Baume meter is obtained. 实 For ease of operation, the counterweight in this embodiment can be lead balls, which are very small, with a diameter of 1 to 2 mm, and can usually be evenly distributed. If it is really impossible to divide it evenly, the remaining part that cannot be evenly divided can be placed in the middle hollow tube to avoid the tilt of the Baume meter affecting the accuracy.

[0074] Since the Baume meter needs to float vertically in the liquid to measure the Baume value of the liquid, the vertical floating conditions of the object in the liquid must be considered when designing the Baume meter. An object floating in water has two centers, the center of gravity and the center of buoyancy. The center of gravity is the point of action of gravity, and the center of buoyancy is the point of action of buoyancy. The position of the center of buoyancy is the position of the center of gravity of the part of the liquid that is displaced. The density meter is a non-uniform floating body, and its mass is concentrated at the bottom. When the density meter floats vertically, the center of buoyancy is higher than the center of gravity. Therefore, after calculating the total mass m of the Baume meter, it is necessary to verify the vertical floating conditions of the designed Baume meter.

[0075] like Figure 5 As shown in the figure, a cylindrical object is analyzed, C is the center of gravity of the object, D is the center of buoyancy of the object, D0 is the centroid of the part of the object below the liquid surface, R is the cross-sectional radius of the cylindrical object, and H is the height of the cylindrical object reached by the liquid surface. When the object deviates from the liquid surface at an angle of 0, the centroid, center of gravity, and center of buoyancy of the object are shown in the figure below. Figure 5 As shown in (a); when the object deviates from the liquid surface at an angle of θ, the object's centroid, center of gravity, and center of buoyancy are shown in Figure 5 When the object floats vertically, the center of buoyancy coincides with the center of mass. The balance can be maintained stable, and the ordinate of the buoyancy center is That is, when the distance between the center of gravity and the center of buoyancy is less than The vertical floating equilibrium state can be kept stable. If the vertical floating condition is not met, it is necessary to replace the material of the Baume meter or reduce the wall thickness of the hollow tube in the Baume meter.

[0076] Usually, when taking the Baume range, the minimum value among the historical Baume values ​​is taken, and the minimum value is rounded down as the lower limit of the range; the maximum value among the historical Baume values ​​is taken, and the maximum value is rounded up as the upper limit of the range. In other embodiments, if the range directly obtained according to the historical Baume values ​​is large, a smaller range can be taken within the directly obtained range. When taking the smaller range, a Baume value within the directly obtained range can be taken first, and the historical Baume value plus or minus multiple (for example, 5) Δ°Bé is calculated as the smaller range.

[0077] After determining the scale spacing, a scale label can be formed. In order to facilitate photo identification, the scale label in this embodiment is a binary number label. Each binary number corresponds to a Baume value, forming a binary number-Baume value comparison table. The spacing between different binary numbers is the scale spacing, and the first characteristic graphic is used to represent 0 in the binary number label, and the second characteristic graphic is used to represent 1.

[0078] like Figure 6 As shown, for example, gray and black color blocks are arranged and combined to represent different Baume values. The gray block is regarded as 1, the black block is regarded as 0, and every 4 color blocks are a group (the number of color blocks in a group is determined according to the range and accuracy. If 4 color blocks are not enough to represent the entire range, more color blocks can be used to represent it), ten groups of different color block combinations are selected, and the colors of each color block combination from left to right are recorded and converted into binary numbers. At the same time, a Baume value within a range is assigned to it. The binary number corresponds to the Baume value one by one, and a binary number-Baume value comparison table is obtained. In other embodiments, it can also be replaced with other colors, such as white, red, etc., or it can be replaced by a graphic distinction, such as a triangle, a diamond, etc. In the figure, taking a smaller range as an example, the Baume value corresponding to the binary number 1000 in the middle is set to x, and the Baume value x plus or minus 5 Δ°Bé is calculated as the upper and lower scales. Of course, the Baume value corresponding to the binary number 1111 can also be set to x, and the positive 10 Δ°Bé of the Baume value x is calculated as the front scale. It should be noted that, under the premise of meeting the accuracy of the Baume meter and the scale spacing, the number of binary numbers and the corresponding Baume values ​​can be set according to actual needs.

[0079] Step 3, install the Baume meter on the photo identification device, which includes a brine barrel and a camera. The brine barrel is hollow inside and has an opening on the top. The brine barrel circulates and extracts brine from the brine pool and keeps it full. The Baume meter is placed in the brine barrel through the top opening of the brine barrel.

[0080] This embodiment uses the cooperation of the Baume meter and the photographic recognition device to realize the automatic photographic recognition of Baume, wherein the photographic recognition device is as follows: Figure 7As shown, it includes a brine bucket 3, a camera device 4, a fill light 5, a control box 6 and a bracket 7. The top opening of the brine bucket 3 is used as a reserved slot 2. Before shooting, ensure that the brine in the brine bucket 3 is full. The control box 6 is equipped with a light sensor, which can detect the current ambient light intensity and control the fill light switch to adjust the light so that the image captured by the camera device (such as a camera) is clear and visible.

[0081] When in use, install the photo recognition device at a location with less light variation and stable power supply near the brine pool, and place the square organic glass tube Baume meter 1 in the reserved groove 2 to ensure that the Baume meter 1 can float freely up and down in the reserved groove 2, that is, the opening size of the reserved groove on the brine bucket is at least larger than the cross-section of the thickened section at the bottom of the Baume meter. After installing the photo recognition device, supply stable power to the photo recognition device, then fill the brine bucket with the brine to be tested until it overflows, and the light sensor in the control box senses the current light intensity and adjusts the light according to the light intensity. After completing the pre-preparation, the camera takes photos at regular intervals and identifies the scale, selects valid data for processing, and stores it according to the standard.

[0082] In other embodiments, a temperature sensor may be installed in the control box to detect the current ambient temperature and compare the current ambient temperature with 15.6°C in the theoretical basis, and compensate the currently detected Baume value according to the comparison result to further improve the accuracy of the Baume value, wherein the process of compensating the Baume value according to the temperature is a prior art and will not be described in detail in this embodiment. And the main controller in the control box may be any device with logic operation capability, such as a microcontroller.

[0083] In order to ensure that the brine in the brine barrel is always full and to achieve continuous and effective monitoring, the brine barrel in this embodiment also includes a water inlet, a water outlet and a water pump. Remote control valves or electric control valves are installed on the water inlet and the water outlet. The water pump and the remote control valve or the electric control valve are controlled by the main controller in the control box. For example, at each identification, the valves of the water inlet and the water outlet are controlled to open at the same time, and the water pump works at the same time. The new brine in the brine pool is pumped into the brine barrel by the water pump, and the old brine in the brine barrel is discharged from the brine barrel. The simultaneous control of water inlet and water outlet is to prevent the Baume meter from being unable to extend out of the reserved groove after the top of the brine barrel enters the whole.

[0084] Step 4: Obtain the scale position of the scale label on the Baume meter reached by the brine in the brine barrel captured by the camera device, and obtain the Baume value of the brine pool according to the scale position.

[0085] In order to improve the recognition effect of the photographic recognition device, after the photographic recognition device is installed, it is necessary to adjust the relative position of the camera and the brine bucket so that the camera can obtain a scale image at a preset height (for example, obtain a scale image 2 cm above the brine surface). When adjusting the relative position, it is preferred to adjust the camera to capture the scale image in the middle of the scale label that is exposed to the brine, and bring the camera close to the brine bucket so as to obtain a larger and clearer scale image. After acquiring the scale image, select the scale position with the smallest distortion in the scale image. According to the imaging rules, the scale position containing a complete binary number in the middle of the image is usually selected as the ROI area (Region of Interest). The relative position of the camera and the brine bucket is continuously adjusted to select the best ROI area, and the relative position of the camera and the brine bucket is no longer changed, and the ROI area is fixed. Figure 8 As shown, in the acquired scale image, the middle of the image is selected as the ROI area, that is, the area within the frame is the ROI area. In this embodiment, the scale position of the scale label on the Baume meter reached by the brine in the brine bucket captured by the camera device during the photo recognition is always maintained as the scale within the ROI area. After obtaining the best ROI area, it is necessary to perform pre-recognition first to improve the accuracy of the binary number-Baume value comparison table in this embodiment. The specific process of pre-recognition is as follows:

[0086] Step 41, photograph the scale image on the Baume meter and select the ROI area.

[0087] Step 42, identify the binary number in the ROI area, and obtain the measured Baume degree value according to the binary number-Baume degree value comparison table. Taking the gray-black block in this embodiment as an example, in the ROI area, identify the black square or gray square, and record the square color and coordinates. According to the square color and coordinates, determine the color block combination mode to obtain the binary number. According to the binary number, check the binary number-Baume degree value comparison table to obtain the Baume degree value.

[0088] Step 43, obtaining the actual Baume value in the brine pool. If the error between the measured Baume value and the actual Baume value is within the error threshold, the pre-identification ends; otherwise, the binary number-Baume value comparison table is updated according to the actual Baume value, and the image is re-taken for pre-identification.

[0089] In pre-identification, a standard Baume meter is used for comparison to determine the current actual Baume value. If there is an error with the binary number-Baume value comparison table, the binary number-Baume value comparison table is updated. When updating the binary number-Baume value comparison table, the actual Baume value is used as the Baume value corresponding to the currently identified binary number, and the Baume values ​​corresponding to other binary numbers are updated in sequence according to the accuracy of the Baume meter.

[0090] After pre-recognition, the Baume degree is automatically photographed for recognition. In this embodiment, recognition is performed once every hour. In each recognition, the camera takes a photo per second to read once, and takes a valid data (data within the range) from multiple readings. After obtaining ten valid data, the ten valid data are averaged, and one decimal is retained to record as the final reading value of this recognition. After each recognition, the recognition time and the final Baume degree reading value recognized are stored and uploaded.

[0091] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A method for automatically photographing and identifying halogen Baume from seawater, characterized in that: The method for automatically photographing and identifying the Baume degree of halogen produced from seawater comprises: Obtain the historical Baume value of the brine pool to be tested; The range of the Baume meter is determined according to the historical Baume values, and the weight of the Baume meter and the scale spacing within the range are calculated, and scale labels are formed based on the scale spacing. The Baume meter is assembled according to the weight of the weight and the scale labels; the Baume meter includes a central hollow tube and an even number of peripheral hollow tubes, the peripheral hollow tubes are symmetrically arranged on the periphery of the central hollow tube, and the bottoms of the central hollow tube and the peripheral hollow tubes are flush, the top of the central hollow tube is higher than the top of the peripheral hollow tube, the weight is evenly placed in the central hollow tube and the peripheral hollow tube, and the scale labels are arranged at a position where the central hollow tube is higher than the peripheral hollow tube; The Baume meter is installed on a photographic identification device, wherein the photographic identification device comprises a brine bucket and a camera device. The brine bucket is hollow inside and has an opening at the top. The brine bucket circulates and extracts brine from the brine pool and keeps the brine overflowing. The Baume meter is placed in the brine bucket through the opening at the top of the brine bucket. The scale position of the scale label on the Baume meter reached by the brine in the brine barrel photographed by the camera device is obtained, and the Baume value of the brine making pool is obtained according to the scale position.

2. The automatic photographic identification method for seawater halogen production Baume according to claim 1, characterized in that: The middle hollow tube and the outer hollow tube are both organic glass tubes.

3. The automatic photographic identification method for seawater halogen Baume according to claim 1, characterized in that: Determining the measuring range of the Baume meter according to the historical Baume values ​​includes: Take the minimum value of the historical Baume values ​​and round it down as the lower limit of the range; Take the maximum value of the historical Baume values ​​and round it up as the upper limit of the measuring range.

4. The automatic photographic identification method for seawater halogen Baume according to claim 1, characterized in that: The method of calculating the counterweight mass of the Baume meter and the scale spacing within the measuring range includes: The part where the middle hollow pipe is higher than the outer hollow pipe is taken as the measuring part, and the drainage length of the measuring part is set as h 实 , the cross section of the Baume meter is S 底 , then the relationship between the Baume value °Bé and the total mass m of the Baume meter is as follows: Take the Baume value °Bé as an integer in the range of the Baume meter and substitute it into the formula to obtain the total mass m of the Baume meter, based on m=m 配 +m 管 , get the weight mass m of the Baume meter 配 , where m 管 V is the mass of the hollow tube of the Baume meter itself, 粗 It is the total drainage volume of the outer hollow tube of the Baume meter and the part of the middle hollow tube that does not protrude above the outer hollow tube; Calculate the Baume value °Bé with respect to h 实 The derivative of , we get: In the formula, Δ°Bé is the accuracy of the Baume meter, Δh 实 The Baume value changes by Δ°Bé, and the distance the Baume meter sinks / floats is the scale spacing of the Baume meter, ρ 水 is the density of water, ρ 水 =1g / cm 3 ; According to the known accuracy of the Baume meter Δ°Bé, the scale spacing Δh of the Baume meter is obtained. 实 .

5. The automatic photographic identification method for seawater halogen production Baume according to claim 1, characterized in that: The scale label is a binary number label, each binary number corresponds to a Baume value, forming a binary number-Baume value comparison table, the spacing between adjacent binary numbers is the scale spacing, and the first characteristic graphic is used to represent 0 in the binary number label, and the second characteristic graphic is used to represent 1.

6. The automatic photographic identification method for seawater halogen production Baume according to claim 5, characterized in that: The camera device needs to perform a pre-recognition before formal photo recognition, and the pre-recognition process is as follows: Take a scale image of the scale label on the Baume meter, and select the scale position with the smallest distortion in the scale image as the ROI area; Identify the binary number in the ROI area and obtain the measured Baume value according to the binary number-Baume value comparison table; The actual Baume value in the brine pool is obtained. If the error between the measured Baume value and the actual Baume value is within the error threshold, the pre-identification ends; otherwise, the binary number-Baume value comparison table is updated according to the actual Baume value, and the image is re-taken for pre-identification.

7. The automatic photographic identification method for seawater halogen production Baume according to claim 1, characterized in that: The photo recognition device also includes a light sensor and a fill light; The light sensor is used to obtain the light intensity of the current environment; The fill light is used to turn on for light compensation when the light intensity of the current environment is lower than the intensity threshold.

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