CN113854284B - Method and system for intelligently manufacturing plant leaf specimen - Google Patents
Method and system for intelligently manufacturing plant leaf specimen Download PDFInfo
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- CN113854284B CN113854284B CN202111109989.6A CN202111109989A CN113854284B CN 113854284 B CN113854284 B CN 113854284B CN 202111109989 A CN202111109989 A CN 202111109989A CN 113854284 B CN113854284 B CN 113854284B
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- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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- A01N3/00—Preservation of plants or parts thereof, e.g. inhibiting evaporation, improvement of the appearance of leaves or protection against physical influences such as UV radiation using chemical compositions; Grafting wax
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Abstract
The embodiment of the invention relates to the technical field of specimen preparation, and discloses a method and a system for intelligently preparing a plant leaf specimen, wherein the method comprises the following steps: scanning leaves of a plant to be manufactured to obtain a first leaf vein picture, establishing identity identification information matched with the first leaf vein picture, recording the identity identification information on a bearing material, adopting alkali liquor to carry out mesophyll separation processing if the completeness of the leaves of the plant to be manufactured is detected to be larger than a first specified threshold value, scanning the leaves of the plant to be manufactured again to obtain a second leaf vein picture, carrying out bleaching and dyeing processing if the coincidence degree of the second leaf vein picture and the veins of the first leaf vein picture is detected to be larger than a second specified threshold value, and scanning a leaf sample of the plant and the identity identification information and storing the leaf sample and the identity identification information together into an electronic sample set after the drying and plasticizing processing is finished. According to the embodiment of the invention, the traditional specimen preparation is replaced by an intelligent mode, the automatic intellectualization of the tabletting, drying and plastic coating of the plant specimen is realized, and the manual processing process is reduced.
Description
Technical Field
The invention relates to the technical field of specimen preparation, in particular to a method and a system for intelligently preparing a plant leaf specimen.
Background
At present, traditional plant specimen preparation, contain the preforming, dry and cross three step of moulding, purchase wooden specimen holder usually, carry out artifical preforming and dry naturally, cross through the plastic packaging machine again and mould the preservation, this process step is loaded down with trivial details, manual operation and intervention action are too much in the specimen preparation process, the non-intelligent action, also receive external factors such as plant self medium and environment humiture simultaneously, the finished product cycle and the quality that can lead to the preparation to a certain extent are unstable, influence the high efficiency of plant specimen preparation work and develop.
Disclosure of Invention
The embodiment of the invention discloses a method and a system for intelligently manufacturing a plant leaf specimen, which replace the traditional specimen manufacturing in an intelligent mode, realize the automatic intellectualization of the tabletting, drying and plastic coating of the plant specimen, reduce the manual processing process and further ensure the manufacturing period and quality of a finished product.
The first aspect of the embodiment of the invention discloses a method for intelligently manufacturing a plant leaf specimen, which comprises the following steps: scanning leaves of a plant to be manufactured to obtain a first leaf vein picture of the leaves of the plant to be manufactured;
establishing identity identification information matched with the first vein image and recording the identity identification information on a bearing material; wherein, the identity identification information at least comprises the variety, source and specimen action information of the leaves of the plant to be made;
detecting whether the integrity of the leaves of the plant to be made is greater than a first specified threshold value or not according to the first leaf vein map; if so, carrying out mesophyll separation treatment on the plant leaves to be made by adopting alkali liquor, and scanning the plant leaves to be made again to obtain a second vein diagram of the plant leaves to be made;
matching whether the leaf vein coincidence degree of the second leaf vein map and the first leaf vein map is larger than a second specified threshold value or not; if yes, carrying out bleaching and dyeing treatment on the plant leaves to be manufactured;
treat that the preparation plant leaf accomplishes after the processing that the drying was moulded obtains the plant leaf sample, the scanning the plant leaf sample with identification information keeps to the electronic sample together and concentrates.
As another optional implementation manner, in the first aspect of the embodiment of the present invention, if the integrity of the leaf of the plant to be made is not greater than the first specified threshold, the method further includes:
terminating the preparation of the specimen of the plant leaves to be prepared and destroying the plant leaves to be prepared;
storing the first leaf vein image and the identity identification information into an electronic suspension specimen set;
and if the coincidence degree of the veins of the second vein map and the first vein map is not greater than a second specified threshold, the method further comprises:
executing the operation of stopping the preparation of the specimen of the plant leaves to be prepared and destroying the plant leaves to be prepared;
and storing the first lobe graph, the second lobe graph and the identity identification information into an electronic pause sample set.
As another optional implementation manner, in the first aspect of the embodiment of the present invention, after the storing the first lobe map, the second lobe map, and the identification information into an electronic pause sample set, the method further includes:
detecting whether the pH value of the alkali liquor exceeds a preset value; if yes, sending first alarm information to remind a worker to adjust the pH value of the alkali liquor;
detecting whether the ambient temperature of the alkali liquor exceeds a preset temperature value, if so, sending second alarm information to remind the worker to adjust the ambient temperature of the alkali liquor.
As another optional implementation manner, in the first aspect of the embodiments of the present invention, after the storing the first leaf pulse map, the second leaf pulse map, and the identification information together into an electronic suspension sample set, and before the detecting whether the ph value of the lye exceeds a preset value, the method further includes:
detecting whether the newly added number in the set of electronic suspension samples is greater than a third specified threshold within a specified time; and if so, executing the operation of detecting whether the pH value of the alkali liquor exceeds a preset value.
As another optional implementation manner, in the first aspect of the embodiment of the present invention, after the processing of drying and molding the plant leaves to be manufactured obtains the plant leaf specimen, and before the scanning the plant leaf specimen and the identification information and storing them together in the electronic specimen set, the method further includes:
judging whether a complete vein information graph can be spliced or not according to the pattern shape of the non-hollowed-out part in the plant leaf specimen; if yes, the operation that the plant leaf specimen and the identity identification information are scanned and stored together into an electronic specimen set is executed;
and if the complete vein information graph cannot be spliced, storing the plant leaf specimen and the identity identification information into the electronic termination specimen set.
A second aspect of an embodiment of the present invention discloses a manufacturing system, including:
the first scanning unit is used for scanning leaves of the plant to be manufactured to obtain a first leaf vein image of the leaves of the plant to be manufactured;
the establishing unit is used for establishing the identity identification information matched with the first vein image and recording the identity identification information on a bearing material; wherein, the identity identification information at least comprises the variety, source and specimen action information of the leaves of the plant to be made;
the first detection unit is used for detecting whether the integrity of the leaves of the plant to be made is greater than a first specified threshold value or not according to the first leaf vein image;
the first processing unit is used for carrying out mesophyll separation processing on the leaves of the plants to be made by adopting alkali liquor when the first detection unit detects that the integrity of the leaves of the plants to be made is greater than a first specified threshold value, and scanning the leaves of the plants to be made again to obtain a second nervus image of the leaves of the plants to be made;
the matching unit is used for matching whether the leaf vein overlap ratio of the second leaf vein image and the first leaf vein image is larger than a second specified threshold value or not;
the second processing unit is used for carrying out bleaching and dyeing processing on the plant leaves to be manufactured when the matching unit matches that the coincidence degree of the veins of the second vein image and the first vein image is greater than a second specified threshold value;
and the second scanning unit is used for scanning after the plant leaves to be manufactured are dried and subjected to plastic coating to obtain the plant leaf specimen, the plant leaf specimen is stored to the electronic specimen together with the identity identification information, and the electronic specimen is concentrated.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the manufacturing system further includes:
the first termination unit is used for terminating the preparation of the specimen of the plant leaves to be made and destroying the plant leaves to be made when the first detection unit detects that the integrity of the plant leaves to be made is not greater than a first specified threshold value;
the storage unit is used for storing the first leaf vein image and the identity identification information into an electronic suspension sample set;
the first execution unit is used for executing the operation of terminating the preparation of the specimen of the plant leaves to be prepared and destroying the plant leaves to be prepared when the matching unit matches that the coincidence degree of the second leaf vein image and the leaf vein of the first leaf vein image is not greater than a second specified threshold value;
the storage unit is further configured to store the first lobe graph, the second lobe graph and the identification information together into an electronic pause sample set.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the manufacturing system further includes:
the second detection unit is used for detecting whether the pH value of the alkali liquor exceeds a preset value or not after the first lobe graph, the second lobe graph and the identity identification information are stored in the electronic suspension sample set together by the storage unit;
the reminding unit is used for sending first alarm information to remind a worker to adjust the pH value of the alkali liquor when the second detection unit detects that the pH value of the alkali liquor exceeds a preset value;
the second detection unit is also used for detecting whether the environmental temperature of the alkali liquor exceeds a preset temperature value;
the reminding unit is also used for sending second alarm information to remind the worker to adjust the ambient temperature of the alkali liquor when the second detection unit detects that the ambient temperature of the alkali liquor exceeds the preset temperature value.
As an alternative implementation, in the second aspect of the embodiment of the present invention, the manufacturing system further includes:
the third detection unit is used for detecting whether the newly increased number of the electronic suspension sample set is greater than a third specified threshold value within specified time after the first leaf pulse map, the second leaf pulse map and the identity information are stored in the electronic suspension sample set together by the storage unit and before the second detection unit detects whether the pH value of the alkali liquor exceeds a preset value;
and the second execution unit is used for executing the operation of detecting whether the pH value of the alkali liquor exceeds a preset value or not when the third detection unit detects that the newly added number of the electron suspension sample set in a specified time is greater than a third specified threshold value.
A third aspect of an embodiment of the present invention discloses a manufacturing system, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method for intelligently making the plant leaf specimen disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the method for intelligently making a plant leaf specimen disclosed in the first aspect of the embodiments of the present invention.
A fifth aspect of the embodiments of the present invention discloses a computer program product, which, when running on a computer, causes the computer to execute part or all of the steps of any one of the methods for intelligently making a plant leaf specimen of the first aspect.
A sixth aspect of the embodiments of the present invention discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps of any one of the methods for intelligently making a plant leaf specimen in the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, after scanning the leaves of the plant to be made to obtain the first vein image of the leaves of the plant to be made, identity identification information matched with the first vein image can be established and recorded on a bearing material; wherein, include at least among the identification information wait to make variety, source and the sample action information of plant leaf, if detect out later on wait to make when the integrity of plant leaf is greater than first appointed threshold value, can adopt alkali lye right wait to make the plant leaf and carry out mesophyll separation processing, and the rescanning wait to make the plant leaf in order to obtain wait to make the second vein picture of plant leaf, if match out later on the second vein picture with when the vein coincidence degree of first vein picture is greater than the second appointed threshold value, can be right wait to make the plant leaf and carry out the processing of bleaching dyeing wait to make after the plant leaf accomplishes the processing that the drying was moulded and obtains the plant leaf sample, scan the plant leaf sample with identification information is preserved to the electron sample together and is concentrated. Therefore, the embodiment of the invention replaces the traditional specimen preparation in an intelligent mode, realizes the automatic intelligence of the tabletting, drying and plastic coating of the plant specimen, reduces the manual processing process and further ensures the preparation period and quality of the finished product.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for intelligently making a plant leaf specimen, disclosed by an embodiment of the invention;
FIG. 2 is a schematic flow chart illustrating another method for intelligently making a plant leaf specimen, according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a manufacturing system according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another manufacturing system according to the present disclosure;
FIG. 5 is a schematic diagram of another manufacturing system according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first", "second", "third", "fourth", and the like in the description and the claims of the present invention are used for distinguishing different objects, and are not used for describing a specific order. The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article of manufacture, product, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, product, or apparatus.
The embodiment of the invention discloses a method and a system for intelligently manufacturing a plant leaf specimen, which replace the traditional specimen manufacturing in an intelligent mode, realize the automatic intellectualization of the tabletting, drying and plastic coating of the plant specimen, reduce the manual processing process and further ensure the manufacturing period and quality of a finished product.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for intelligently making a plant leaf specimen according to an embodiment of the present invention. As shown in FIG. 1, the method for intelligently making the plant leaf specimen can comprise the following steps.
101. The manufacturing system scans the leaves of the plant to be manufactured to obtain a first leaf vein map of the leaves of the plant to be manufactured.
As an optional implementation manner, the manufacturing system may set a certain time interval to shoot, and identify the image collected and scanned at the real-scene angle in the time interval, if the manufacturing system does not identify the leaves of the plant to be made in any of the video frames shot in the continuous time interval, the manufacturing system may temporarily stop executing step 101, until the manufacturing system identifies the leaves of the plant to be made in the image shot in the continuous time interval, the manufacturing system may execute step 101 again;
and if the probability that the making system cannot identify the leaves of the plants to be made for the images scanned in the continuous time interval is higher than the specified threshold value, the making system can temporarily stop executing the step 101 until the probability that the making system identifies the leaves of the plants to be made for the images shot in the continuous time interval is higher than the specified threshold value, and the nursing device can execute the step 101 again.
As an optional implementation manner, in this embodiment, the machine learning training model may be modeled by a terminal device (for example, a PC terminal device), and then the modeled machine learning training model may be imported and stored into the manufacturing system, and when the manufacturing system acquires data information of leaves of a plant to be manufactured in an image, the imported and stored machine learning training model may be directly acquired.
As an optional implementation manner, in this embodiment, for the machine learning training model, a terminal device (for example, a PC terminal device) may first obtain a to-be-made plant leaf sample image sent by a making system, and use the to-be-made plant leaf sample image as a training sample image; the plant leaf images to be made in the areas shot in the real-scene angle at least comprise different distance position images between the shot plant leaves to be made and the camera equipment.
In this embodiment, because of the same plant leaf picture of waiting to make, lie in different positions in the picture, have different distortions, and correspondingly, different distances also can correspond to the different regions of image, for example closely can be located the camera lens and lean on lower region, also add machine learning training data dimension through the coordinate data of waiting to make the plant leaf in the image, through experimental, can effectually improve the plant leaf image recognition accuracy rate of waiting to make of manufacturing system greatly.
102. The manufacturing system establishes identity identification information matched with the first vein image and records the identity identification information on a bearing material; the identity identification information at least comprises variety, source and specimen action information of the leaves of the plant to be made.
103. And the manufacturing system detects whether the integrity of the leaves of the plant to be manufactured is greater than a first specified threshold value according to the first leaf pulse diagram, if so, the steps 104 to 105 are executed, and if not, the process is ended.
As an optional implementation manner, in this embodiment, most leaves of the plant to be manufactured are fresh leaves picked manually, but it is difficult to avoid the phenomenon that the leaves of the plant to be manufactured are broken and chipped due to picking errors occurring during the manual picking process, the manufacturing system may determine whether the leaves of the plant to be manufactured are rare species for scientific research or collection according to the information about the variety, source, and specimen action of the leaves of the plant to be manufactured, if so, the setting of the first specified threshold may be reduced, and step 103 is executed, for example, if the leaves of the plant to be manufactured are not rare species for scientific research or collection, the setting of the first specified threshold may be 90% or more, and if the leaves of the plant to be manufactured are rare species for scientific research or collection, the setting of the first specified threshold may be reduced to 80%.
104. The manufacturing system adopts alkali liquor to separate the leaf and pulp of the plant leaves to be manufactured, and scans the plant leaves to be manufactured again to obtain a second leaf vein diagram of the plant leaves to be manufactured.
As an optional implementation manner, in this embodiment, if the leaves of the plant to be made are leaves with thick mesophyll, a boiling method may be used to separate the mesophyll, that is, the leaves of the plant to be made are placed in a solution of clear water, sodium carbonate and sodium hydroxide to be boiled, and after the leaves of the plant to be made are corroded by the solution, the mesophyll on the leaves of the plant to be made can be separated.
As an optional implementation manner, in this embodiment, if the leaves of the plant to be made are leaves with thinner mesophyll, the mesophyll separation treatment can be performed by using a water immersion method, that is, the leaves of the plant to be made are immersed in water and are kept standing until the soft parts of the leaves are completely rotted, and then the mesophyll on the leaves of the plant to be made can be separated.
105. The manufacturing system matches whether the coincidence degree of the veins of the second vein map and the first vein map is larger than a second specified threshold value; if yes, step 106 to step 107 are executed, and if no, the present flow is ended.
As an optional implementation manner, in this embodiment, the leaf vein of the plant leaf to be made is most easily damaged when the mesophyll separation treatment is performed on the plant leaf to be made, so the present application needs to perform the damaged condition of the leaf vein of the plant leaf to be made after the leaf to be made completes the mesophyll separation action, if the damage is serious, the manufacturing system can judge whether the leaves are rare species for scientific research or collection according to the variety, source and specimen action information of the leaves, the setting of the first specified threshold may be decreased and step 105 performed, for example, if the leaves of the plant to be produced are not a rare species for scientific research or collection, the setting of the second specified threshold may be above 90%, and if the leaves of the plant to be produced are a rare species for scientific research or collection, the setting of the second specified threshold may be decreased to 80%.
106. The manufacturing system carries out bleaching and dyeing treatment on leaves of plants to be manufactured.
107. After the leaves to be made are dried and subjected to plastic coating to obtain the leaf specimen, the leaf specimen and the identity information are scanned and stored together to the electronic specimen set.
As an optional implementation manner, in this embodiment, when the plant leaf specimen is lost, the electronic form of the plant leaf specimen can still be obtained from the electronic specimen set, and if the plant leaf to be manufactured is a rare species for scientific research or collection, if other people want to know or know about visiting the plant leaf to be manufactured, the corresponding plant leaf specimen can also be found from the electronic specimen set, so that more people can know or know about visiting the plant leaf specimen.
In the method for intelligently creating a plant leaf specimen shown in fig. 1, the creation system will be described as an example of an execution subject. It should be noted that the execution subject of the intelligent method for making a plant leaf specimen shown in fig. 1 may also be a stand-alone device associated with the making system, and the embodiment of the present invention is not limited thereto.
Therefore, the method for intelligently manufacturing the plant leaf specimen described in the figure 1 is implemented, the traditional specimen manufacturing is replaced by an intelligent mode, the automatic intelligence of the tabletting, drying and plastic coating of the plant specimen is realized, the manual processing process is reduced, and the manufacturing period and the quality of a finished product are further ensured.
In addition, the method for intelligently manufacturing the plant leaf specimen described in the figure 1 is implemented, and the same mechanized production and manufacturing are carried out by adopting computer control, so that the yield can be improved, and the method is suitable for large-scale industrial production.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another method for intelligently making a plant leaf specimen according to an embodiment of the present invention. As shown in fig. 2, the method for intelligently making the plant leaf specimen may include the following steps:
201. the manufacturing system scans the leaves of the plant to be manufactured to obtain a first leaf vein map of the leaves of the plant to be manufactured.
202. The manufacturing system establishes identity identification information matched with the first vein image and records the identity identification information on a bearing material; the identity identification information at least comprises variety, source and specimen action information of the leaves of the plant to be made.
203. The manufacturing system detects whether the integrity of the leaves of the plant to be manufactured is greater than a first specified threshold value according to the first leaf vein map, if not, the step 204-the step 205 are executed, and if so, the step 206-the step 207 are executed.
204. The manufacturing system stops the manufacturing of the specimen of the plant leaves to be manufactured and destroys the plant leaves to be manufactured.
205. The manufacturing system stores the first leaf pulse map and the identity identification information together into the electronic suspension sample set, and the process is ended.
As an optional implementation manner, in this embodiment, the leaves of the plant to be produced are mostly fresh leaves picked manually, but it is difficult to avoid the phenomenon that the leaves of the plant to be produced are broken and chipped due to picking errors occurring in the manual picking process, if the leaves of the plant to be produced are not rare species for scientific research or collection, and it is detected that the integrity of the leaves of the plant to be produced is lower than the first specified threshold, the production system can determine that the leaves of the plant to be produced do not need to execute the next operation flow, and can destroy the leaves of the plant to be produced, and meanwhile, the picker of the leaves of the plant to be produced can find the picked leaves from the electronic suspension sample set according to the identification information, so that the picker can know the reason that the leaves of the plant to be produced cannot be used for sample production.
206. The manufacturing system adopts alkali liquor to separate the leaf and pulp of the plant leaves to be manufactured, and scans the plant leaves to be manufactured again to obtain a second leaf vein diagram of the plant leaves to be manufactured.
207. The manufacturing system matches whether the ratio of the coincidence of the veins of the second vein map and the first vein map is larger than a second designated threshold, if not, step 208 to step 210 are executed, and if so, step 215 to step 216 are executed.
208. The manufacturing system executes the operation of stopping the manufacturing of the specimen of the leaves of the plant to be manufactured and destroying the leaves of the plant to be manufactured.
209. The manufacturing system stores the first lobe graph, the second lobe graph and the identity identification information into the electronic suspension sample set together.
As an optional implementation manner, in this embodiment, the leaf vein of the plant leaf to be made is most easily damaged when the leaf pulp is separated, so the present application needs to perform the damaged leaf vein of the plant leaf to be made after the leaf pulp is separated, if the leaf to be made is not a rare species for scientific research or collection, and detecting that the contact ratio of the leaves of the plant to be made and the veins of the first vein map is lower than a second specified threshold value, the making system can judge that the plant leaves to be made do not need to execute the next operation flow, the plant leaves to be made can be destroyed, and meanwhile, the pickers of the plant leaves to be made can find the picked leaves according to the identity identification information from the electronic suspension sample set so as to know the reason why the plant leaves to be made cannot be used for making the samples.
210. The manufacturing system detects whether the newly added number of the electronic suspension specimen set is greater than a third specified threshold value within a specified time, if so, step 211 is executed, and if not, the process is ended.
211. The manufacturing system detects whether the pH value of the alkali liquor exceeds a preset value, if so, the step 212 to the step 213 are executed, and if not, the process is ended.
As an alternative embodiment, in this embodiment, if the yield of the leaves of the plant to be produced is lower than a certain level within a certain time and the probability of the production failure after the mesophyll separation process is found to be large from the collection of the electronic suspension samples, the production system may execute step 211.
212. The manufacturing system sends out first alarm information to remind the staff to adjust the pH value of the alkali liquor.
213. The manufacturing system detects whether the environmental temperature of the alkali liquor exceeds a preset temperature value, if so, step 214 is executed, and if not, the process is ended.
As an alternative embodiment, in this embodiment, if the manufacturing system detects that the new number of the electron suspension specimen sets is larger than the third predetermined threshold within the predetermined time after the staff adjusts the pH value of the alkaline solution, the manufacturing system may execute step 213.
214. The manufacturing system sends out second alarm information to remind the working personnel to adjust the environment temperature of the alkali liquor, and the process is finished.
215. The manufacturing system carries out bleaching and dyeing treatment on leaves of plants to be manufactured.
216. The manufacturing system determines whether the complete vein information graph can be combined or not according to the pattern shape of the non-hollow-out position in the plant leaf specimen, if so, step 217 is executed, and if not, step 218 is executed.
As an alternative, in this embodiment, the step 216 is performed after the leaves to be made are processed to obtain the leaf specimen.
As an optional implementation manner, in this embodiment, the bleaching and dyeing process of the leaves of the plant to be manufactured is mostly performed by using a bleaching agent, and the bleaching agent has certain corrosivity and is easy to damage the remaining veins of the leaves of the plant to be manufactured, but since the leaves of the plant to be manufactured basically complete the preparation of the specimen, the application can perform detection after the process of drying and plasticizing is completed, and if the leaves of the plant to be manufactured are not damaged during the bleaching and dyeing process, the damage to the remaining veins of the leaves of the plant to be manufactured is not represented.
217. The manufacturing system scans the plant leaf specimen and the identity identification information and stores the plant leaf specimen and the identity identification information together into an electronic specimen set, and the process is ended.
218. The manufacturing system stores the plant leaf specimen and the identity identification information to an electronic suspension specimen set, and the process is ended.
Therefore, the method for intelligently manufacturing the plant leaf specimen described in the figure 2 is implemented, the traditional specimen manufacturing is replaced by an intelligent mode, the automatic intelligence of the tabletting, drying and plastic coating of the plant specimen is realized, the manual processing process is reduced, and the manufacturing period and the quality of a finished product are further ensured.
In addition, the method for intelligently manufacturing the plant leaf specimen described in fig. 2 can send the abnormal state information to the user side when the manufacturing environment is in the abnormal state, so that the user can timely find the abnormality, the purpose of early solving the problem is achieved, and the manufacturing loss of the plant leaf specimen is reduced.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a manufacturing system according to an embodiment of the disclosure. As shown in fig. 3, the manufacturing system 300 may include a first scanning unit 301, a creating unit 302, a first detecting unit 303, a first processing unit 304, a matching unit 305, a second processing unit 306, and a second scanning unit 307, wherein:
the first scanning unit 301 is configured to scan a leaf of a plant to be manufactured to obtain a first leaf vein map of the leaf of the plant to be manufactured.
The establishing unit 302 is used for establishing the identity identification information matched with the first vein image and recording the identity identification information on the bearing material; the identity identification information at least comprises variety, source and specimen action information of the leaves of the plant to be made.
The first detecting unit 303 is configured to detect whether the integrity of the leaf of the plant to be made is greater than a first specified threshold according to the first leaf vein map.
And the first processing unit 304 is configured to, when the first detection unit detects that the integrity of the leaves of the plant to be made is greater than a first specified threshold, perform mesophyll separation processing on the leaves of the plant to be made by using alkali liquor, and scan the leaves of the plant to be made again to obtain a second leaf vein map of the leaves of the plant to be made.
A matching unit 305, configured to match whether a ratio of leaf vein overlap between the second leaf vein map and the first leaf vein map is greater than a second specified threshold.
The second processing unit 306 is configured to perform bleaching and dyeing processing on the leaves of the plant to be manufactured when the coincidence degree of the second leaf vein image matched by the matching unit and the leaf vein of the first leaf vein image is greater than a second specified threshold value.
And a second scanning unit 307, configured to scan the plant leaf specimen and the identity information and store the scanned plant leaf specimen and the identity information together in an electronic specimen collection after the plant leaf to be manufactured is dried and subjected to plastic processing to obtain the plant leaf specimen.
As an optional implementation manner, the first scanning unit 301 may set a certain time interval to shoot, and identify the image captured and scanned at the real-scene angle in the time interval, if the first scanning unit 301 does not identify the leaves of the plant to be made from the video frames shot in the continuous time interval, the first scanning unit 301 may temporarily not perform the scanning operation until the first scanning unit 301 identifies the leaves of the plant to be made from the images shot in the continuous time interval, and the making system may perform the scanning operation again;
and if the probability that the first scanning unit 301 does not recognize the leaves of the plants to be made on the images scanned in the continuous time intervals is higher than the specified threshold, the first scanning unit 301 may not execute the scanning operation for the moment until the probability that the first scanning unit 301 recognizes the leaves of the plants to be made on the images photographed in the continuous time intervals is higher than the specified threshold, and the nursing device may execute the scanning operation again.
As an optional implementation manner, in this embodiment, the machine learning training model may be modeled by a terminal device (e.g., a PC terminal device), and then the machine learning training model after modeling may be imported and stored in the manufacturing system, and when the manufacturing system acquires data information of leaves of plants to be manufactured in the image, the machine learning training model that has been imported and stored may be directly acquired.
As an optional implementation manner, in this embodiment, for the machine learning training model, a terminal device (for example, a PC terminal device) may first obtain a to-be-made plant leaf sample image sent by a making system, and use the to-be-made plant leaf sample image as a training sample image; the plant leaf images to be made in the areas shot in the real-scene angle at least comprise different distance position images between the shot plant leaves to be made and the camera equipment.
In this embodiment, because of the same plant leaf picture of waiting to make, lie in different positions in the picture, have different distortions, and correspondingly, different distances also can correspond to the different regions of image, for example closely can be located the camera lens and lean on lower region, also add machine learning training data dimension through the coordinate data of waiting to make the plant leaf in the image, through experimental, can effectually improve the plant leaf image recognition accuracy rate of waiting to make of manufacturing system greatly.
As an optional implementation manner, in this embodiment, most leaves of the plant to be manufactured are fresh leaves picked manually, but it is also difficult to avoid a phenomenon that the leaves of the plant to be manufactured are broken and chipped due to a picking error occurring during the manual picking process, the first detection unit 303 may determine whether the leaves of the plant to be manufactured are rare species for scientific research or collection according to the information about the action of the variety, source and specimen of the leaves of the plant to be manufactured, if so, the setting of the first designated threshold may be reduced, and a detection operation is performed, for example, if the leaves of the plant to be manufactured are not rare species for scientific research or collection, the setting of the first designated threshold may be 90% or more, and if the leaves of the plant to be manufactured are rare species for scientific research or collection, the setting of the first designated threshold may be reduced to 80%.
As an optional implementation manner, in this embodiment, if the leaves of the plant to be made are leaves with thick mesophyll, the first processing unit 304 may use a boiling method to perform mesophyll separation processing, that is, the leaves of the plant to be made are placed in a solution of clear water, sodium carbonate and sodium hydroxide to be boiled, and after the leaves of the plant to be made receive corrosion of the solution, the mesophyll on the leaves of the plant to be made can be separated.
As an optional implementation manner, in this embodiment, if the leaves of the plant to be processed are leaves with thinner mesophyll, the first processing unit 304 may perform the mesophyll separation processing by using a water immersion method, that is, the leaves of the plant to be processed are immersed in water and left standing until the soft parts of the leaves are completely rotted, so that the mesophyll on the leaves of the plant to be processed can be separated.
As an optional implementation manner, in this embodiment, the leaf vein of the plant leaf to be made is most easily damaged when the mesophyll separation treatment is performed on the plant leaf to be made, so the present application needs to perform the damaged condition of the leaf vein of the plant leaf to be made after the leaf to be made completes the mesophyll separation action, if the damage is serious, the matching unit 305 can determine whether the leaves to be produced are rare species for scientific research or collection according to the variety, source and specimen action information of the leaves to be produced, if so, the setting of the first specified threshold may be lowered and the matching operation performed, for example, the setting of the second specified threshold may be 90% or more if the leaves of the plant to be produced are not a rare species for scientific research or collection, or the setting of the second specified threshold may be lowered to 80% if the leaves of the plant to be produced are a rare species for scientific research or collection.
As an optional implementation manner, in this embodiment, when the foliage specimen is lost, the electronic form of the foliage specimen can still be obtained from the electronic specimen set, and if the foliage specimen to be produced is a rare species for scientific research or collection, if other people want to know or know about visiting the foliage specimen to be produced, the corresponding foliage specimen can also be found from the electronic specimen set, so as to allow more people to know or know about visiting the specimen.
Therefore, the manufacturing system described in fig. 3 is implemented to replace the traditional specimen manufacturing in an intelligent manner, so that the automatic intelligence of the tabletting, drying and plastic coating of the plant specimen is realized, the manual processing process is reduced, and the manufacturing period and quality of the finished product are further ensured.
In addition, by implementing the manufacturing system described in fig. 3, the same production and manufacturing process can be mechanized by using computer control, which can improve the yield and is suitable for large-scale industrial production.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of another manufacturing system according to an embodiment of the disclosure. The manufacturing system shown in fig. 4 is optimized by the manufacturing system shown in fig. 3. In comparison with the manufacturing system shown in fig. 3, the manufacturing system shown in fig. 4 may further include:
the first terminating unit 308 is configured to terminate the preparation of the specimen of the to-be-prepared plant leaf and destroy the to-be-prepared plant leaf when the first detecting unit 303 detects that the integrity of the to-be-prepared plant leaf is not greater than the first specified threshold.
The storing unit 309 is configured to store the first leaf vein image and the identification information together in the electronic suspension sample set.
As an optional implementation manner, in this embodiment, the leaves of the plant to be produced are mostly fresh leaves picked manually, but it is difficult to avoid the phenomenon that the leaves of the plant to be produced are broken and chipped due to picking errors occurring in the manual picking process, if the leaves of the plant to be produced are not rare species for scientific research or collection, and it is detected that the integrity of the leaves of the plant to be produced is lower than the first specified threshold, the production system can determine that the leaves of the plant to be produced do not need to execute the next operation flow, and can destroy the leaves of the plant to be produced, and meanwhile, the picker of the leaves of the plant to be produced can find the picked leaves from the electronic suspension sample set according to the identification information, so that the picker can know the reason that the leaves of the plant to be produced cannot be used for sample production.
The first executing unit 310 is configured to execute an operation of terminating the preparation of the specimen of the plant leaves to be prepared and destroying the plant leaves to be prepared when the matching unit 305 matches the second leaf vein map and the first leaf vein map, and the coincidence degree of the leaf veins is not greater than the second specified threshold value.
As an optional implementation manner, in this embodiment, the storing unit 309 is further configured to store the first leaf pulse map, the second leaf pulse map, and the identity information into the electronic pause sample set.
As an optional implementation manner, in this embodiment, the leaves of the plant to be manufactured are most likely to damage the veins on the leaves when the mesophyll separation treatment is performed, so the veins of the leaves of the plant to be manufactured need to be damaged after the leaves of the plant to be manufactured complete the mesophyll separation action, if the leaves of the plant to be manufactured are not rare species for scientific research or collection, and detecting that the contact ratio of the leaves of the plant to be made and the veins of the first vein map is lower than a second specified threshold value, the making system can judge that the plant leaves to be made do not need to execute the next operation flow, the plant leaves to be made can be destroyed, and meanwhile, the pickers of the plant leaves to be made can find the picked leaves according to the identity identification information from the electronic suspension sample set so as to know the reason why the plant leaves to be made cannot be used for making the samples.
In comparison with the manufacturing system shown in fig. 3, the manufacturing system shown in fig. 4 may further include:
the second detecting unit 311 is configured to detect whether the ph value of the alkali solution exceeds a preset value after the storing unit 309 stores the first lobe graph, the second lobe graph and the identification information together to the electronic suspension sample set.
As an optional implementation manner, in this embodiment, if the yield of the leaves of the plant to be made is lower than a certain degree within a certain time, and the probability of the making failure after the mesophyll separation process is found to be large from the electronic suspension sample set, the second detecting unit 311 may perform an operation of detecting whether the ph value of the alkali solution exceeds a preset value.
And the reminding unit 312 is configured to send first alarm information to remind a worker to adjust the ph value of the alkali liquor when the second detecting unit 311 detects that the ph value of the alkali liquor exceeds a preset value.
As an optional implementation manner, in this embodiment, the second detecting unit 311 is further configured to detect whether the ambient temperature of the alkali solution exceeds a preset temperature value.
As an optional implementation manner, in this embodiment, if the second detecting unit 311 still detects that the newly added number of the electron suspension sample sets is greater than the third specified threshold within the specified time after the staff adjusts the ph value of the alkali solution, the manufacturing system may perform an operation of detecting whether the environmental temperature of the alkali solution exceeds the preset temperature value.
As an optional implementation manner, in this embodiment, the reminding unit 312 is further configured to send a second alarm message to remind the operator to adjust the ambient temperature of the alkali liquor when the second detecting unit detects that the ambient temperature of the alkali liquor exceeds the preset temperature value.
In comparison with the manufacturing system shown in fig. 3, the manufacturing system shown in fig. 4 may further include:
the third detecting unit 313 is configured to detect whether the newly added number of the electron suspension sample set is greater than a third specified threshold within a specified time after the storing unit 309 stores the first leaf pulse map, the second leaf pulse map and the identification information together into the electron suspension sample set, and before the second detecting unit 311 detects whether the ph value of the alkali solution exceeds the preset value.
A second executing unit 314, configured to execute an operation of detecting whether the ph value of the alkaline solution exceeds a preset value when the third detecting unit detects that the newly added number of the electron suspension sample sets is greater than a third specified threshold within a specified time.
In comparison with the manufacturing system shown in fig. 3, the manufacturing system shown in fig. 4 may further include:
the determining unit 315 is configured to determine whether a complete vein information diagram can be combined according to a pattern shape of a non-hollow portion in the plant leaf specimen after the plant leaf to be manufactured is dried and subjected to plastic processing to obtain the plant leaf specimen, and before the second scanning unit 307 scans the plant leaf specimen and the identification information and stores the scanned plant leaf specimen and the identification information together into the electronic specimen set.
As an optional implementation manner, in this embodiment, the bleaching and dyeing process of the leaves of the plant to be manufactured is mostly performed by using a bleaching agent, and the bleaching agent has certain corrosivity and is easy to damage the remaining veins of the leaves of the plant to be manufactured, but since the leaves of the plant to be manufactured basically complete the preparation of the specimen, the application can perform detection after the process of drying and plasticizing is completed, and if the leaves of the plant to be manufactured are not damaged during the bleaching and dyeing process, the damage to the remaining veins of the leaves of the plant to be manufactured is not represented.
As an optional implementation manner, in this embodiment, the second executing unit 314 is further configured to execute an operation of scanning the plant leaf specimen and storing the scanned plant leaf specimen and the identification information together in the electronic specimen set when the determining unit 315 determines that the complete vein information map can be combined.
As an optional implementation manner, in this embodiment, the storing unit 309 is further configured to store the plant leaf sample and the identification information into the electronic suspension sample set when the determining unit 315 determines that the complete vein information map is not combinable.
Therefore, the manufacturing system described in fig. 4 is implemented to replace the traditional specimen manufacturing in an intelligent manner, so that the automatic intelligence of the tabletting, drying and plastic coating of the plant specimen is realized, the manual processing process is reduced, and the manufacturing period and quality of the finished product are further ensured.
In addition, the manufacturing system described in fig. 4 can send the abnormal state information to the user side when the manufacturing environment is in the abnormal state, so that the user can find the abnormality in time, the purpose of early finding the problem and solving the problem is achieved, and the manufacturing loss of the plant leaf specimen is reduced.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of another manufacturing system according to an embodiment of the disclosure.
As shown in fig. 5, the manufacturing system may include:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
the processor 502 calls the executable program code stored in the memory 501 to execute any one of the intelligent methods for making the plant leaf specimen shown in fig. 1 to 4.
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute any one of the intelligent plant leaf specimen manufacturing methods shown in the figures 1-2.
Embodiments of the present invention also disclose a computer program product, wherein, when the computer program product is run on a computer, the computer is caused to execute part or all of the steps of the method as in the above method embodiments.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other disk memories, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
The method and the system for intelligently making the plant leaf specimen disclosed by the embodiment of the invention are described in detail, a specific example is applied in the method to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (9)
1. A method for intelligently manufacturing a plant leaf specimen is characterized by comprising the following steps:
scanning leaves of a plant to be manufactured to obtain a first leaf vein picture of the leaves of the plant to be manufactured;
establishing identity identification information matched with the first vein image and recording the identity identification information on a bearing material; wherein, the identity identification information at least comprises the variety, source and specimen action information of the leaves of the plant to be made;
detecting whether the integrity of the leaves of the plant to be manufactured is greater than a first specified threshold value according to the first leaf vein image; if so, carrying out mesophyll separation treatment on the plant leaves to be made by adopting alkali liquor, and scanning the plant leaves to be made again to obtain a second vein diagram of the plant leaves to be made;
matching whether the leaf vein coincidence degree of the second leaf vein map and the first leaf vein map is larger than a second specified threshold value or not; if so, carrying out bleaching and dyeing treatment on the plant leaves to be manufactured;
after the leaves of the plants to be made are dried and subjected to plastic coating to obtain a leaf specimen, scanning the leaf specimen and the identity identification information and storing the leaf specimen and the identity identification information together into an electronic specimen set;
if the integrity of the plant leaves to be made is not greater than a first specified threshold value, stopping making the specimen of the plant leaves to be made and destroying the plant leaves to be made;
storing the first leaf vein image and the identity identification information into an electronic suspension specimen set;
if the coincidence degree of the veins of the second vein map and the first vein map is not larger than a second specified threshold value, executing the operation of terminating the preparation of the plant leaves to be prepared and destroying the plant leaves to be prepared;
and storing the first lobe graph, the second lobe graph and the identity identification information into an electronic pause sample set.
2. The method of claim 1, wherein after storing the first lobe map, the second lobe map, and the identification information in an electronic pause sample set, the method further comprises:
detecting whether the pH value of the alkali liquor exceeds a preset value; if yes, sending first alarm information to remind a worker to adjust the pH value of the alkali liquor;
detecting whether the ambient temperature of the alkali liquor exceeds a preset temperature value, if so, sending second alarm information to remind the worker to adjust the ambient temperature of the alkali liquor.
3. The method according to claim 2, wherein after the storing the first lobe pulse map, the second lobe pulse map and the identification information together into the electronic suspension sample set and before the detecting whether the ph value of the lye exceeds a preset value, the method further comprises:
detecting whether the newly added number in the set of electronic suspension samples is greater than a third specified threshold within a specified time; and if so, executing the operation of detecting whether the pH value of the alkali liquor exceeds a preset value.
4. The method according to any one of claims 1 to 3, wherein after the processing of the plant leaves to be manufactured for drying and molding is completed to obtain the plant leaf specimen, and before the scanning of the plant leaf specimen and the identification information are stored together in the electronic specimen set, the method further comprises:
judging whether a complete vein information graph can be spliced or not according to the pattern shape of the non-hollowed-out part in the plant leaf specimen; if yes, the operation that the plant leaf specimen and the identity identification information are scanned and stored together into an electronic specimen set is executed;
and if the complete vein information graph cannot be spliced, storing the plant leaf specimen and the identity identification information into the electronic termination specimen set.
5. A manufacturing system, comprising:
the first scanning unit is used for scanning leaves of the plant to be manufactured to obtain a first leaf vein image of the leaves of the plant to be manufactured;
the establishing unit is used for establishing the identity identification information matched with the first vein image and recording the identity identification information on a bearing material; wherein, the identity identification information at least comprises the variety, source and specimen action information of the leaves of the plant to be made;
the first detection unit is used for detecting whether the integrity of the leaves of the plant to be made is greater than a first specified threshold value according to the first leaf vein image;
the first processing unit is used for carrying out mesophyll separation processing on the leaves of the plants to be made by adopting alkali liquor when the first detection unit detects that the integrity of the leaves of the plants to be made is greater than a first specified threshold value, and scanning the leaves of the plants to be made again to obtain a second nervus image of the leaves of the plants to be made;
the matching unit is used for matching whether the leaf vein coincidence degree of the second leaf vein image and the first leaf vein image is larger than a second specified threshold value or not;
the second processing unit is used for carrying out bleaching and dyeing processing on the plant leaves to be manufactured when the matching unit matches that the coincidence degree of the veins of the second vein image and the first vein image is greater than a second specified threshold value;
and the second scanning unit is used for scanning the plant leaf specimen after the plant leaf specimen is obtained by processing the plant leaves to be manufactured to complete drying and plastic coating, and the identity information and the electronic specimen are stored together.
6. The production system of claim 5, further comprising:
the first termination unit is used for terminating the preparation of the specimen of the plant leaves to be made and destroying the plant leaves to be made when the first detection unit detects that the integrity of the plant leaves to be made is not greater than a first specified threshold value;
the storage unit is used for storing the first leaf vein image and the identity identification information into an electronic suspension sample set;
the first execution unit is used for executing the operation of terminating the preparation of the specimen of the plant leaves to be prepared and destroying the plant leaves to be prepared when the matching unit matches that the coincidence degree of the second leaf vein image and the leaf vein of the first leaf vein image is not greater than a second specified threshold value;
the storage unit is further configured to store the first lobe graph, the second lobe graph and the identification information together into an electronic pause sample set.
7. The production system of claim 6, further comprising:
the second detection unit is used for detecting whether the pH value of the alkali liquor exceeds a preset value or not after the first leaf pulse map, the second leaf pulse map and the identity identification information are stored in the electronic suspension sample set together by the storage unit;
the reminding unit is used for sending first alarm information to remind a worker to adjust the pH value of the alkali liquor when the second detection unit detects that the pH value of the alkali liquor exceeds a preset value;
the second detection unit is also used for detecting whether the environmental temperature of the alkali liquor exceeds a preset temperature value;
the reminding unit is further used for sending second alarm information to remind the worker to adjust the ambient temperature of the alkali liquor when the second detection unit detects that the ambient temperature of the alkali liquor exceeds the preset temperature value.
8. The production system of claim 7, further comprising:
the third detection unit is used for detecting whether the newly increased number of the electronic suspension sample set is greater than a third specified threshold value within specified time after the first leaf pulse map, the second leaf pulse map and the identity information are stored in the electronic suspension sample set together by the storage unit and before the second detection unit detects whether the pH value of the alkali liquor exceeds a preset value;
and the second execution unit is used for executing the operation of detecting whether the pH value of the alkali liquor exceeds a preset value or not when the third detection unit detects that the newly added number of the electron suspension sample set in a specified time is greater than a third specified threshold value.
9. A manufacturing system, comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the intelligent plant leaf specimen making method according to any one of claims 1-4.
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