Fruit preservative detection method

Abstract

The invention relates to the field of preservative detection, in particular to a fruit preservative detection method, which comprises the following steps of: extracting corresponding skin features by calling state data of surface fruits in a box body before transportation; detecting the surface layer fruits at the first transportation intermediate station, identifying corresponding real-time surface skin characteristics, determining a surface skin deviation value in combination with the surface skin characteristics, and analyzing adhesion quality characterization parameters of the surface layer fruits in combination with the surface particle density of the surface layer fruits so as to mark the box body; detecting and analyzing the fruits in the box body; acquiring adhesion change characteristics of surface layer fruits at the adhesion abnormity sites, evaluating whether the fruits in the box body meet adhesion falling standards, and judging whether adhesion defects occur in the fruits in the box body so as to mark the adhesion abnormity sites and send out prompt signals; and the transportation distance between the marked station with the abnormal attachment and the transportation target station is obtained, whether secondary smearing of attachments is carried out on the fruits in the box body or not is determined, and the effectiveness of the preservative on the surfaces of the fruits in the transportation process is dynamically and accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the field of preservative detection, and particularly to a method for detecting fruit preservatives. Background Art

[0002] In the post-harvest supply chain of fruits, the entire process from orchard picking to terminal sales is crucial for fruit preservation. Therefore, the application of preservatives is one of the key means to extend the preservation period and reduce decay losses. However, the actual transportation environment is relatively complex. The high-frequency mechanical vibrations generated when the transport vehicle travels on bumpy roads cause friction and collision between the stacked fruits during transportation, which may lead to the peeling off or failure of the preservative coating on the fruit surface; During the transportation of fruits, the peeling off of the surface preservatives may have a certain impact on the preservation and safety of fruits. After the reduction of preservatives, molds or bacteria are more likely to grow, and at the same time, the increase in oxygen contact may lead to browning or nutrient loss of fruits. Therefore, it is crucial to develop an effective method for detecting the status of preservatives during transportation.

[0003] However, there are still the following problems in the prior art, Only the residual concentration of the preservative is detected, without considering the peeling mechanism affected by the transportation environment and the wear of the preservative by the physical state of the fruits during transportation. The detection index is single and not comprehensive enough, which in turn affects the accuracy of the detection. Summary of the Invention

[0004] For this reason, the present invention provides a method for detecting fruit preservatives to overcome the problems in the prior art that only the residual concentration of the preservative is detected, without considering the peeling mechanism affected by the transportation environment and the wear of the preservative by the physical state of the fruits during transportation, the detection index is single and not comprehensive enough, which in turn affects the accuracy of the detection.

[0005] To achieve the above object, the present invention provides a method for detecting fruit preservatives, which includes: Calling the status data of the surface fruits in the box before transportation to extract the corresponding epidermal features, where the epidermal features include the area of the attachment gap and the number of attachment gaps; Detecting the surface fruits at the first intermediate transportation station to identify the corresponding real-time epidermal features, comparing them with the epidermal features to determine the epidermal deviation value, analyzing the attachment quality characterization parameter of the surface fruits in combination with the surface particle density of the surface fruits, and marking the box based on the attachment quality characterization parameter; Based on the marking results, the fruits in the box are detected and analyzed, including obtaining distribution images of the fruits at several subsequent intermediate transportation stations, determining the fitting characteristics of the fruits, and combining the average amplitude of the transportation vehicle corresponding to the intermediate transportation section to determine the distribution fitting characterization parameters of the fruits, so as to identify abnormal attachment stations; Obtain the attachment change characteristics of the surface fruits at the abnormal attachment stations to evaluate whether the fruits in the box meet the attachment and detachment standards, determine whether there are attachment defects in the fruits in the box, mark the abnormal attachment stations and send a prompt signal; Obtain the transportation distance from the marked abnormal attachment station to the transportation destination station to determine whether to perform secondary coating of the attachments on the fruits in the box; Among them, the fitting characteristics include the fitting area between adjacent fruits and the depression thickness of the fitting fruits, and the attachment change characteristics include the enlarged amount of the notch area and the ratio of the notch area to the epidermal area.

[0006] Furthermore, the process of determining the epidermal deviation value includes, Obtain the real-time epidermal characteristics of the surface fruits, including the current attachment notch area and the current number of attachment notches; Calculate the first difference between the attachment notch area and the current attachment notch area, and solve the ratio of the first difference to the current attachment notch area as the first deviation value; Calculate the second difference between the number of attachment notches and the current number of attachment notches, and solve the ratio of the second difference to the current number of attachment notches as the second deviation value; Take the sum of the first deviation value and the second deviation value as the epidermal deviation value.

[0007] Furthermore, the process of analyzing the attachment quality characterization parameters of the surface fruits includes, Take the ratio of the epidermal deviation value to the epidermal deviation threshold as the first attachment quality characteristic; Take the ratio of the surface particle density to the surface particle density threshold as the second attachment quality characteristic; Perform weighted summation of the first attachment quality characteristic and the second attachment quality characteristic to determine the attachment quality characterization parameter.

[0008] Furthermore, based on the attachment quality characterization parameter, mark the corresponding box, including, If the attachment quality characterization parameter of the surface fruits is greater than or equal to the attachment quality characterization parameter threshold, mark the corresponding box.

[0009] Furthermore, based on the marking results, the fruits in the box are detected and analyzed, including, If any box is marked, the fruits in the marked box are detected and analyzed.

[0010] Further, the process of determining the distribution fitting characterization parameter of the fruits includes: Taking the sum of the ratio of the fitting area between adjacent fruits to the fitting area threshold and the ratio of the depression thickness of the fitting fruits to the depression thickness threshold as the first distribution fitting feature; Taking the ratio of the average amplitude of the transportation tool to the average amplitude threshold as the second distribution fitting feature; Determining the sum of the first distribution fitting feature and the second distribution fitting feature as the distribution fitting characterization parameter.

[0011] Further, identifying the abnormal attachment site includes: If the distribution fitting characterization parameter corresponding to the fruits determined by any intermediate transportation site is greater than or equal to the distribution fitting characterization parameter threshold, then identifying the intermediate transportation site as the abnormal attachment site.

[0012] Further, evaluating whether the fruits in the box meet the attachment and detachment standard includes: If the enlarged amount of the notch area of the surface fruits is greater than the enlarged amount threshold or / and the ratio of the notch area to the epidermal area is greater than the ratio threshold, it is determined that the fruits in the box do not meet the attachment and detachment standard.

[0013] Further, determining whether there are attachment defects in the fruits in the box, marking the abnormal attachment site and sending a prompt signal includes: If there are fruits in any box that do not meet the detachment standard, it is determined that there are attachment defects in the fruits in the box, marking the abnormal attachment site and sending a prompt signal.

[0014] Further, determining whether to perform secondary coating on the attachments of the fruits in the box includes: If the transportation distance from the marked abnormal attachment site to the transportation destination site is greater than or equal to the transportation distance threshold, then perform secondary coating on the fruits in the box.

[0015] Compared with the prior art, the present invention extracts corresponding epidermal features by calling the state data of the surface fruits in the box before transportation; detects the surface fruits at the first intermediate transportation station to identify the corresponding real-time epidermal features, compares them with the epidermal features, determines the epidermal deviation value, analyzes the attachment quality characterization parameters of the surface fruits in combination with the surface particle density of the surface fruits, and marks the box based on the attachment quality characterization parameters; detects and analyzes the fruits in the box according to the marking results; obtains the attachment change characteristics of the surface fruits at the attachment abnormality stations to evaluate whether the fruits in the box meet the attachment shedding standards, determines whether the fruits in the box have attachment defects, marks the attachment abnormality stations and sends a prompt signal; obtains the transportation distance of the marked attachment abnormality stations from the transportation destination station, determines whether the fruits in the box are subjected to secondary coating of attachments, and the present invention can dynamically and accurately evaluate the effectiveness of preservatives on the surface of fruits during transportation.

[0016] In particular, based on the core function of preservatives to form a protective barrier by completely covering the surface of fruits, the area and number of gaps directly affect the continuity of the barrier. The present invention then considers the adhesion of preservatives on the surface of fruits affected by transportation. On the one hand, it can reflect the stability of preservative adhesion and the transportation quality of fruits, and on the other hand, it reflects the adhesion firmness of preservatives. The more gaps there are, the easier it is for preservatives to fall off at the attachment points on the surface of fruits, and the larger the area of ​​the gaps, the wider the range of a single falling area. The anti-corrosion layer may be peeled off over a large area due to transportation vibration and friction, reflecting that the bonding strength between the attachment layer and the surface of the fruit is weak, and intuitively reflects the integrity of the anti-corrosion layer. At the same time, during transportation, preservatives are affected by physical and chemical factors. The morphology of the fruit changes due to physical effects, thus forming a rough feeling of surface particles. The present invention considers the number of particles per unit area, that is, the surface particle density. The granular protrusions will lead to the destruction of the continuity of the preservative film layer, and the exposed fruit skin area will increase, which will reduce the inhibition efficiency of the preservative on mold. Therefore, the present invention relies on the epidermis deviation value determined based on the comparison between the epidermis characteristics and the real-time epidermis characteristics combined with the surface particle density to analyze the attachment quality characterization parameters to characterize the stability of the preservative attachment on the fruit surface during transportation, provide data support for the subsequent marking of the corresponding box, and then detect and analyze the fruit in the box. The present invention can dynamically and accurately evaluate the effectiveness of preservatives on the surface of fruits during transportation.

[0017] In particular, the present invention detects and analyzes the fruits in the marked box, and detects the distribution and fitting condition between adjacent fruits in the box. The larger the fitting area between adjacent fruits, the closer the fruits are stacked, and the higher the probability of mutual friction during transportation, which is more likely to cause the shedding of preservatives. The concave thickness of the fitting fruits can reflect the severity of extrusion between fruits, and further indicate the severity of physical damage to the fruit skin and the aggravation of the rupture of the preservative film layer on the fruit surface. Furthermore, the environmental stress is quantified comprehensively, and the influence of the amplitude of the transportation tool on the tight stacking of fruits and the integrity of preservatives is considered. Therefore, the present invention determines the distribution fitting characterization parameter of the fruits by combining the fitting characteristics of the fruits with the average amplitude of the transportation tool to characterize the influence degree of the transportation environment on the fitting depression degree of the fruits and the wear of the attached substances, providing data support for subsequent identification of abnormal attachment sites. The present invention can dynamically and accurately evaluate the effectiveness of the preservatives on the fruit surface during transportation.

[0018] In particular, based on the determination of abnormal attachment sites, the present invention analyzes the attachment change situation of the surface fruits. The enlarged area of the notch reflects the dynamic increment of the shedding of preservatives during transportation, identifying which sites or path segments cause accelerated shedding, and the ratio of the notch area to the epidermal area reflects the severity of the current attachment and shedding of preservatives. By comprehensively evaluating the above two characteristics, it is determined whether the fruits in the box meet the attachment and shedding standards, dynamically tracking the attachment change trend of the preservatives, determining whether there are attachment defects in the fruits in the box, and then marking the corresponding abnormal attachment sites for quality traceability. The present invention can dynamically and accurately evaluate the effectiveness of the preservatives on the fruit surface during transportation.

[0019] In particular, the present invention considers the freshness preservation threshold of the preservatives for the fruits in the box during transportation, dynamically considers the remaining transportation distance, judges whether the existing attachment amount of the preservatives is sufficient to cover the freshness preservation requirements of the remaining transportation distance, accurately supplements the anti-corrosion ability of the preservatives, improves the resource utilization rate and reduces the transportation cost on the basis of avoiding indiscriminate reapplication of preservatives. Description of the Drawings

[0020] Figure 1 It is a step schematic diagram of the fruit preservative detection method according to the embodiment of the invention; Figure 2 It is a logical decision diagram for marking the corresponding box based on the attachment quality characterization parameter according to the embodiment of the invention; Figure 3 It is a logical decision diagram for identifying abnormal attachment sites according to the embodiment of the invention; Figure 4 It is a logical decision diagram for evaluating whether the fruits in the box meet the attachment and shedding standards according to the embodiment of the invention. Detailed Embodiments

[0021] In order to make the objectives and advantages of the present invention more clearly understood, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0023] It should be noted that in the description of the present invention, terms indicating directions or positional relationships such as "upper", "lower", "inner", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0024] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and limited, the term "installation" should be understood in a broad sense. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] Please refer to Figure 1 as shown, which is a schematic diagram of the steps of the fruit preservative detection method according to an embodiment of the present invention. The fruit preservative detection method according to an embodiment of the present invention includes: Step S1: Call the status data of the surface fruits in the box before transportation to extract the corresponding epidermal features, where the epidermal features include the area of the attachment notch and the number of attachment notches; Step S2: Detect the surface fruits at the first intermediate transportation station to identify the corresponding real-time epidermal features, compare them with the epidermal features, determine the epidermal deviation value, analyze the attachment quality characterization parameters of the surface fruits in combination with the surface particle density of the surface fruits, and mark the box based on the attachment quality characterization parameters; Step S3: According to the marking results, detect and analyze the fruits in the box, including obtaining the distribution images of the fruits at several subsequent intermediate transportation stations, determining the fitting features of the fruits, and combining the average amplitude of the transportation tool corresponding to the intermediate transportation section to determine the distribution fitting characterization parameters of the fruits to identify the abnormal attachment stations; Step S4: Obtain the attachment change features of the surface fruits at the abnormal attachment stations to evaluate whether the fruits in the box meet the attachment and detachment standards, determine whether there are attachment defects in the fruits in the box, mark the abnormal attachment stations and send a prompt signal; Step S5: Obtain the transportation distance from the marked abnormal attachment site to the transportation destination site, and determine whether to perform secondary coating of the attachment on the fruits in the box. Among them, the fitting feature includes the fitting area between adjacent fruits and the depression thickness of the fitting fruits, and the attachment change feature includes the enlarged amount of the notch area and the ratio of the notch area to the epidermal area.

[0026] It can be understood that the application amount of the preservative on the fruit surface should comply with regulations and meet national standards, which will not be elaborated here.

[0027] Specifically, the attachment refers to the preservative. Furthermore, the attachment-related features involved also refer to the attachment-related features of the preservative on the fruit surface. Among them, the selection of the preservative complies with the limitations of relevant national regulations.

[0028] Specifically, the status data includes epidermal features, real-time epidermal features, surface particle density, fitting features, attachment change features, etc. Among them, the preservative and the fruit epidermis have unique spectral features under light of different wavelengths, such as reflectivity and absorptivity. Through a hyperspectral camera, the spectral information of each pixel point on the entire fruit surface can be captured. Specifically, the fruit can be placed under a hyperspectral imaging system for scanning, and spectral imaging analysis software is used to analyze the spectral range of each pixel point. Based on the known spectra of the preservative and the fruit epidermis, the spectral imaging analysis software classifies each pixel point as "coated" or "uncoated". Furthermore, the spectral imaging analysis software automatically counts the number of "uncoated" pixels and converts it into an area to determine the attachment notch area. Correspondingly, other data is identified and extracted, which will not be elaborated here.

[0029] In implementation, a vehicle-mounted vibration recorder is arranged on the carriage floor of the transportation tool to monitor the amplitude of the transportation tool in real time, where the transportation tool is a vehicle carrying and transporting fruits.

[0030] Specifically, the process of determining the epidermal deviation value includes Obtain the real-time epidermal features of the surface layer fruits, including the current attachment notch area and the current attachment notch number; Calculate the first difference between the attachment notch area and the current attachment notch area, and solve the ratio of the first difference to the current attachment notch area as the first deviation value; Calculate the second difference between the attachment notch number and the current attachment notch number, and solve the ratio of the second difference to the current attachment notch number as the second deviation value; Take the sum of the first deviation value and the second deviation value as the epidermal deviation value.

[0031] Specifically, the process of analyzing the attachment quality characterization parameters of the surface fruit includes: The ratio of the skin deviation value to the skin deviation threshold is used as the first adhesion quality feature; The ratio of the surface particle density to the surface particle density threshold is used as the second attachment quality feature; The first attachment quality feature and the second attachment quality feature are weightedly summed to determine the attachment quality characterization parameter.

[0032] Specifically, in the actual transportation process, the changes directly presented by the attachments can better reflect the quality status of the attachments. Therefore, in the implementation, the skin deviation value is given priority, so the first attachment quality feature calculated based on the skin deviation value is given a slightly higher weight. Therefore, when performing weighted summation, the weight of the first attachment quality feature is set to 0.6, and the weight of the second attachment quality feature is set to 0.4; In this embodiment, the target mean of the epidermis deviation threshold and the surface particle density threshold represents the poor quality state of the attachments attached to the surface of the fruit during transportation. By obtaining the historical state data corresponding to several fruit transportations on the same transportation route, the historical data of the epidermis deviation value and the historical data of the surface particle size are called, and the mean epidermis deviation and the mean surface particle size are solved. Based on the purpose of setting the above two thresholds, the epidermis deviation threshold is determined as the product of the mean epidermis deviation and the deviation offset coefficient, and the surface particle size threshold is determined as the product of the mean surface particle size and the particle deviation coefficient, wherein the deviation offset coefficient is selected in the interval [1.25, 1.3], and the particle deviation coefficient is selected in the interval [1.2, 1.25].

[0033] Specifically, the core function of the preservative is to form a protective barrier by completely covering the surface of the fruit. The area and number of the gaps directly affect the continuity of the barrier. The present invention considers the attachment of the preservative on the surface of the fruit under the influence of transportation. On the one hand, it can reflect the stability of the attachment of the preservative and the transportation quality of the fruit. On the other hand, it reflects the firmness of the attachment of the preservative. The more the number of gaps, the easier it is for the attachment point of the preservative on the surface of the fruit to fall off. The larger the area of ​​the gaps, the wider the range of the single falling area. It may be that the anti-corrosion layer is peeled off in a large area due to transportation vibration and friction, reflecting that the bonding strength between the attachment layer and the surface of the fruit is weak. In addition, it directly reflects the integrity of the anti-corrosion layer. For example, a large number of gaps and a large area indicate that the anti-corrosion layer is severely damaged, which may cause the fruit to be partially exposed to the external environment, accelerating the corruption process of the fruit. Meanwhile, during transportation, due to physical effects, such as vibration, friction, etc., the preservative undergoes morphological changes, such as caking, drying and cracking, etc., resulting in a rough surface texture of particles. Furthermore, in the present invention, the number of particles per unit area, that is, the surface particle density, is considered. The granular protrusions will cause damage to the continuity of the preservative film layer, increasing the exposed area of the fruit epidermis, and reducing the inhibition efficiency of the preservative against mold; Therefore, the present invention relies on the epidermal deviation value determined by comparing the epidermal features with the real-time epidermal features and combines the surface particle density to analyze the adhesion quality characterization parameter, so as to characterize the stability of the preservative adhesion on the fruit surface during transportation, provide data support for subsequent marking of the corresponding boxes, and then detect and analyze the fruits in the boxes. The present invention can dynamically and accurately evaluate the effectiveness of the preservative on the fruit surface during transportation.

[0034] Specifically, please refer to Figure 2 as shown, which is a logical decision diagram for marking the corresponding box based on the adhesion quality characterization parameter in the embodiment of the present invention. Marking the corresponding box based on the adhesion quality characterization parameter includes, If the adhesion quality characterization parameter of the surface layer fruit is greater than or equal to the adhesion quality characterization parameter threshold, mark the corresponding box; If the adhesion quality characterization parameter of the surface layer fruit is less than the adhesion quality characterization parameter threshold, there is no need to mark the corresponding box.

[0035] The adhesion quality surface layer parameter threshold is selected within the range [1.64, 1.72].

[0036] Specifically, according to the marking result, detecting and analyzing the fruits in the box includes, If any box is marked, detect and analyze the fruits in the marked box.

[0037] Specifically, the process of determining the distribution fitting characterization parameter of the fruit includes, Taking the sum of the ratio of the fitting area between adjacent fruits to the fitting area threshold and the ratio of the depression thickness of the fitting fruits to the depression thickness threshold as the first distribution fitting feature; Taking the ratio of the average amplitude of the transportation tool to the average amplitude threshold as the second distribution fitting feature; Determining the sum of the first distribution fitting feature and the second distribution fitting feature as the distribution fitting characterization parameter.

[0038] In this embodiment, the purpose of setting the fitting area threshold and the depression thickness threshold is to characterize the situation where the degree of fitting and squeezing of adjacent fruits is more intense, obtain historical status data corresponding to several fruit transportations on the same transportation path, call the historical data of the fitting area between adjacent fruits and the historical data of the depression thickness of the fitted fruits, solve the mean fitting area and the mean depression thickness, and based on the purpose of setting the above two thresholds, determine the fitting area threshold as the product of the mean fitting area and the area deviation coefficient, and determine the mean depression thickness as the product of the mean depression thickness and the thickness deviation coefficient, wherein the area deviation coefficient is selected within the interval [1.15, 1.2], and the thickness deviation coefficient is selected within the interval [1.05, 1.1].

[0039] The purpose of setting the average amplitude threshold is to characterize the situation where the transportation environment factors have a heavy interference effect on the quality of the fruit itself and its attachments. By calling the historical average amplitude data of the transportation tools corresponding to several fruit transportations on the same transportation route, the average amplitude mean of the corresponding intermediate transportation section is solved. Based on the purpose of setting the average amplitude threshold, the average amplitude threshold is determined as the product of the average amplitude mean and the amplitude deviation coefficient, wherein the amplitude deviation coefficient is selected within the interval [1.2, 1.25].

[0040] Specifically, the present invention detects and analyzes the marked fruits in the box, and detects the distribution and fit between adjacent fruits in the box. The larger the fit area between adjacent fruits, the tighter the fruits are stacked, and the higher the probability of mutual friction during transportation, which is more likely to cause the preservatives to fall off. The thickness of the depression of the fitted fruits can reflect the severity of the squeezing between the fruits, and further indicate the severity of the physical damage to the fruit skin and the aggravation of the rupture of the preservative film layer on the fruit surface. The environmental stress is then quantified in a comprehensive manner, and the amplitude of the transport vehicle is considered. For example, the higher the average amplitude of the transport vehicle, the more frequently the preservative film layer is subjected to mechanical impact, which will aggravate the impact on the tight stacking of the fruits and the integrity of the preservatives. Therefore, the present invention determines the distribution fit characterization parameters of the fruit through the fit characteristics of the fruit combined with the average amplitude of the transportation vehicle, so as to characterize the influence of the transportation environment on the degree of fruit fit depression and the wear of the attachments, and provide data support for the subsequent identification of abnormal attachment sites. The present invention can dynamically and accurately evaluate the effectiveness of preservatives on the surface of fruits during transportation.

[0041] Specifically, see Figure 3 As shown, it is a logical decision diagram for identifying an abnormal attachment site according to an embodiment of the present invention. Identifying an abnormal attachment site includes: If the distribution fitting characterization parameter corresponding to the fruit determined by any intermediate transportation station is greater than or equal to the distribution fitting characterization parameter threshold, then identify the intermediate transportation station as the attachment anomaly station.

[0042] The distribution fitting characterization parameter threshold is selected within the interval [3.25, 3.31].

[0043] Specifically, please refer to Figure 4 As shown, it is a logical decision diagram for evaluating whether the fruit in the box of the embodiment of the present invention meets the attachment and detachment standard. Evaluating whether the fruit in the box meets the attachment and detachment standard includes, If the enlarged amount of the notch area of the surface fruit is greater than the enlarged amount threshold or / and the ratio of the notch area to the epidermal area is greater than the ratio threshold, then it is determined that the fruit in the box does not meet the attachment and detachment standard.

[0044] In this embodiment, the purpose of setting the enlarged amount threshold and the ratio threshold is to characterize that there is a relatively large increment in the detachment of the attachment during transportation and the detachment is relatively serious. Determine the station corresponding to the attachment anomaly station, obtain the historical enlarged amount data of the notch area corresponding to this station during several fruit transportation processes on the same transportation path, solve the enlarged amount mean value. Based on the purpose of setting the enlarged amount threshold, determine the enlarged amount threshold as the product of the enlarged amount mean value and the enlarged deviation coefficient, and select the ratio threshold within the interval [3%, 5%], where the enlarged deviation coefficient is selected within the interval [1.2, 1.25].

[0045] Specifically, based on determining the attachment anomaly station, the present invention analyzes the attachment change situation of the surface fruit. The enlarged amount of the notch area reflects the dynamic increment of the detachment of the preservative during transportation, identifies which stations or path segments cause the accelerated detachment, and the ratio of the notch area to the epidermal area reflects the severity of the current attachment and detachment of the preservative. Through the above two features, comprehensively evaluate whether the fruit in the box meets the attachment and detachment standard, dynamically track the attachment change trend of the preservative, determine whether there is an attachment defect situation for the fruit in the box, and then mark the corresponding attachment anomaly station for quality traceability. The present invention can dynamically and accurately evaluate the effectiveness of the preservative on the surface of the fruit during transportation.

[0046] Specifically, determining whether to perform secondary coating of the attachment on the fruit in the box includes, If there is any fruit in the box that does not meet the detachment standard, then it is determined that there is an attachment defect for the fruit in the box, mark the attachment anomaly station and send a prompt signal.

[0047] Specifically, determining whether to perform secondary coating of the attachment on the fruit in the box includes, If the transportation distance from the marked abnormal attachment site to the transportation destination site is greater than or equal to the transportation distance threshold, then perform secondary coating on the fruits inside the box; If the transportation distance from the marked abnormal attachment site to the transportation destination site is less than the transportation distance threshold, then there is no need to perform secondary coating on the fruits inside the box.

[0048] In this embodiment, the purpose of setting the transportation distance threshold is to characterize the situation where, based on the current attachment quality state of the attachment, maintaining the current state during transportation to the transportation destination site has a poor fresh-keeping effect on the fruits. Obtain the historical transportation distance data of transporting the marked abnormal attachment site to several transportation destination sites several times, solve the average transportation distance, and based on the purpose of setting the transportation distance threshold, determine the average transportation distance as the transportation distance threshold.

[0049] Specifically, the present invention takes into account the fresh-keeping threshold of the preservative for the fruits inside the box during transportation, dynamically considers the remaining transportation distance, judges whether the existing attachment amount of the preservative is sufficient to cover the fresh-keeping requirements of the remaining transportation distance, accurately supplements the anti-corrosion ability of the preservative, improves the resource utilization rate and reduces the transportation cost on the basis of avoiding indiscriminate re-application of the preservative.

[0050] If the fruit preservative detection method of the present invention is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, etc., which can store program codes.

[0051] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

Claims

1. A method for detecting fruit preservatives, characterized in that, Including: Invoking the status data of the surface fruits in the box before transportation to extract the corresponding epidermal features, where the epidermal features include the attachment gap area and the number of attachment gaps; Detecting the surface fruits at the first intermediate transportation station to identify the corresponding real-time epidermal features, comparing them with the epidermal features, determining the epidermal deviation value, analyzing the attachment quality characterization parameter of the surface fruits in combination with the surface particle density of the surface fruits, and marking the box based on the attachment quality characterization parameter; According to the marking result, detecting and analyzing the fruits in the box, including obtaining the distribution images of the fruits at several subsequent intermediate transportation stations, determining the fitting features of the fruits, and combining the average amplitude of the transportation vehicle corresponding to the intermediate transportation section to determine the distribution fitting characterization parameter of the fruits to identify the abnormal attachment stations; Obtaining the attachment change features of the surface fruits at the abnormal attachment stations to evaluate whether the fruits in the box meet the attachment and detachment standard, determining whether there are attachment defects in the fruits in the box, marking the abnormal attachment stations and sending a prompt signal; Obtaining the transportation distance from the marked abnormal attachment station to the transportation destination station to determine whether to perform secondary coating of the attachments on the fruits in the box; Wherein, the fitting features include the fitting area between adjacent fruits and the depression thickness of the fitting fruits, and the attachment change features include the enlarged amount of the gap area and the ratio of the gap area to the epidermal area.

2. The fruit preservative detection method according to claim 1, characterized in that, The process of determining the epidermal deviation value includes: Obtaining the real-time epidermal features of the surface fruits, including the current attachment gap area and the current number of attachment gaps; Calculating the first difference between the attachment gap area and the current attachment gap area, and solving the ratio of the first difference to the current attachment gap area as the first deviation value; Calculating the second difference between the number of attachment gaps and the current number of attachment gaps, and solving the ratio of the second difference to the current number of attachment gaps as the second deviation value; Taking the sum of the first deviation value and the second deviation value as the epidermal deviation value.

3. The fruit preservative detection method according to claim 2, wherein The process of analyzing the attachment quality characterization parameter of the surface fruits includes: Taking the ratio of the epidermal deviation value to the epidermal deviation threshold as the first attachment quality feature; Taking the ratio of the surface particle density to the surface particle density threshold as the second attachment quality feature; Performing weighted summation of the first attachment quality feature and the second attachment quality feature to determine the attachment quality characterization parameter.

4. The fruit preservative detection method according to claim 3, characterized in that Marking the corresponding box based on the attachment quality characterization parameter, including: If the attachment quality characterization parameter of the surface fruits is greater than or equal to the attachment quality characterization parameter threshold, marking the corresponding box.

5. The fruit preservative detection method according to claim 4, wherein, According to the marking result, detecting and analyzing the fruits in the box, including: If any box is marked, detecting and analyzing the fruits in the marked box.

6. The fruit preservative detection method according to claim 1, wherein The process of determining the distribution fitting characterization parameter of the fruits includes: Taking the sum of the ratio of the fitting area between adjacent fruits to the fitting area threshold and the ratio of the depression thickness of the fitting fruits to the depression thickness threshold as the first distribution fitting feature; The ratio of the average amplitude of the transportation tool to the average amplitude threshold is used as the second distribution fitting feature; The sum of the first distribution fit feature and the second distribution fit feature is determined as the distribution fit characterization parameter.

7. The fruit preservative detection method according to claim 6, wherein Identify sites of attachment anomalies, including, If the distribution fit characterization parameter corresponding to the fruit determined by any intermediate transport station is greater than or equal to the distribution fit characterization parameter threshold, the intermediate transport station is identified as the abnormal attachment station.

8. The fruit preservative detection method according to claim 1, characterized in that, Assess whether the fruit in the box meets the standards for attachment and detachment, including: If the expansion amount of the notch area of ​​the surface fruit is greater than the expansion amount threshold and / or the ratio of the notch area to the surface area is greater than the ratio threshold, it is determined that the fruit in the box does not meet the adhesion and shedding standard.

9. The fruit preservative detection method according to claim 8, characterized in that, Determine whether there is an attachment defect in the fruit in the box, mark the attachment abnormality site and send a prompt signal, including: If there are any fruits in the box that do not meet the falling-off standard, it is determined that the fruits in the box have attachment defects, the attachment abnormality site is marked and a prompt signal is issued.

10. The fruit preservative detection method according to claim 1, wherein Determine whether to apply the attachment to the fruit in the box for a second time. include, If the transportation distance between the marked abnormal attachment site and the transportation destination site is greater than or equal to the transportation distance threshold, the fruit in the box is coated a second time.

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