CN115034720A - Method and system for judging preservation quality state in fruit storage and transportation process - Google Patents

Method and system for judging preservation quality state in fruit storage and transportation process Download PDF

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CN115034720A
CN115034720A CN202210752951.9A CN202210752951A CN115034720A CN 115034720 A CN115034720 A CN 115034720A CN 202210752951 A CN202210752951 A CN 202210752951A CN 115034720 A CN115034720 A CN 115034720A
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information
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黄华
曾继吾
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Pomology Research Institute Guangdong Academy of Agricultural Sciences
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Pomology Research Institute Guangdong Academy of Agricultural Sciences
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Abstract

The invention relates to the technical field of fruit state monitoring, and particularly discloses a method and a system for judging the fresh-keeping quality state of fruits in the storage and transportation process, wherein the method comprises the steps of receiving an order request sent by a user and generating order information; counting all order information, acquiring warehousing information, and determining a distribution flow chart according to the order information and the warehousing information; acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information, and determining a reference image; and comparing the product image with the reference image, and determining a detection scheme according to a comparison result. According to the invention, a unified information table of fruits in the process from collection to delivery is established through a preset information template, and when an image to be identified is received, a reference image can be quickly determined based on the information table, so that the comparison range is greatly reduced, and the identification efficiency is greatly improved; on the premise of meeting the advantage of low cost, the fruit state identification efficiency is improved.

Description

Method and system for judging preservation quality state in fruit storage and transportation process
Technical Field
The invention relates to the technical field of fruit state monitoring, in particular to a method and a system for judging the preservation quality state of fruits in the storage and transportation process.
Background
China is a country with large fruit demand, the transportation amount of fruits in China is very large every year, most of the fruits contain more than 80% of water and belong to fresh, tender and perishable products, if fresh keeping is not noticed in the transportation process, the breakage rate of the fruits distributed to the hands of users is probably much higher than the expected breakage rate, and once the situation occurs, the good feeling of the users is reduced linearly; therefore, real-time monitoring and determination of fruit states are required.
With the progress of computer technology, most of the existing fruit state monitoring and judging systems are judging and identifying systems based on image identification, wherein one of the judging and identifying systems is to sample fruit images in various states and train an identifying model based on a self-learning artificial intelligence technology; still another is a simple image comparison and identification technology; it is conceivable that the former method requires a high cost, but the recognition efficiency is high; the latter method has lower cost, but has slow recognition speed and lower efficiency; therefore, how to improve the efficiency of the image comparison and identification technology is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a method and a system for judging the preservation quality state of fruits in the storage and transportation process, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for judging the fresh-keeping quality state of fruits in the storage and transportation process comprises the following steps:
receiving an order request containing position information sent by a user, and generating order information containing a user label based on the position information;
counting all order information, acquiring warehousing information, and determining a distribution flow chart according to the order information and the warehousing information; wherein, the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a quantity item, a product environment item and a theoretical deterioration rate item;
acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information, and determining a reference image according to the theoretical deterioration rate;
and comparing the product image with the reference image, and determining a detection scheme according to a comparison result.
As a further scheme of the invention: the step of receiving an order request containing position information sent by a user and generating order information containing a user label based on the position information comprises the following steps:
receiving an order request containing order quantity sent by a user, acquiring evaluation parameters of the user, and correcting the order quantity based on the evaluation parameters; the evaluation parameters are determined by the order information and the feedback information of the user together in real time;
acquiring the position information of a user, inquiring and screening a passing scheme according to the position information, and determining a logistics scheme;
and generating order information containing the user label according to the order quantity and the logistics scheme.
As a further scheme of the invention: the step of counting all the order information, acquiring the warehousing information and determining a distribution flow chart according to the order information and the warehousing information comprises the following steps:
sequentially acquiring order information based on a user label, and reading a logistics scheme in the order information;
calculating logistics time and logistics environment parameters according to the logistics scheme;
inputting the logistics environment parameters into a trained deterioration simulation model to obtain the theoretical deterioration rate of the logistics stage;
calculating the deterioration degree of the material flow according to the material flow time and the theoretical deterioration rate of the material flow stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
traversing preset warehousing information according to the logistics deterioration degree, and marking an information table in the warehousing information according to the traversal result;
and selecting a target information table from the marked information tables, and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
As a further scheme of the invention: the step of traversing preset warehousing information according to the logistics deterioration degree and marking an information table in the warehousing information according to the traversal result comprises the following steps:
reading the deterioration degree of the logistics, and calculating a deteriorated threshold value according to the deterioration degree of the logistics and a preset delivery requirement;
traversing an information table in the warehousing information, and calculating the deterioration degree according to a time node item and a theoretical deterioration rate item in the information table;
and comparing the metamorphic grade of each information table with the metamorphic threshold, and marking the corresponding information table when the metamorphic grade is smaller than the metamorphic threshold.
As a further scheme of the invention: the step of selecting a target information table from the marked information tables and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table comprises the following steps:
acquiring a marked information table, and sorting the marked information table according to the deterioration degree of the marked information table;
reading the evaluation parameters of the user, and determining the value proportion of the user in all the users according to the evaluation parameters;
determining a target information table in the sorted information tables according to the value proportion;
reading the order quantity, and reading a bottom table in a target information table according to the order quantity; the bottom table is an information table only containing a number of items;
inserting logistics environment parameters into the bottom table to serve as product environment items, inserting theoretical deterioration rate to serve as theoretical deterioration rate items, and obtaining and inserting generation time to serve as time node items to obtain a distribution flow table.
As a further scheme of the invention: the step of counting all the order information, acquiring the storage information and determining a distribution flow chart according to the order information and the storage information comprises the following steps:
counting all order information, and clustering the order information according to the generation time of the order information;
calculating the total order quantity of various types of order information, and generating a fitting curve according to the generation time and the calculated total order quantity;
calculating the order change rate in real time based on the fitted curve, and determining the storage change rate according to the order change rate;
determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters, and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
As a further scheme of the invention: the step of obtaining the product image containing the time information, reading the theoretical deterioration rate in the distribution flow chart according to the time information, and determining the reference image according to the theoretical deterioration rate comprises the following steps:
acquiring a product image containing acquisition time sent by each acquisition device, and comparing the acquisition time with a time node item in the distribution flow chart;
calculating the change time and the corresponding theoretical deterioration rate according to the comparison result;
and calculating the change degree according to the change time and the theoretical deterioration rate, and reading the reference image from a preset reference image library according to the change degree.
The technical scheme of the invention also provides a system for judging the fresh-keeping quality state in the fruit storage and transportation process, which comprises the following steps:
the order information generating module is used for receiving an order request containing position information sent by a user and generating order information containing a user label based on the position information;
the distribution flow determining module is used for counting all order information, acquiring warehousing information and determining a distribution flow table according to the order information and the warehousing information; wherein, the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a quantity item, a product environment item and a theoretical deterioration rate item;
the reference image determining module is used for acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information and determining a reference image according to the theoretical deterioration rate;
and the comparison module is used for comparing the product image with the reference image and determining a detection scheme according to a comparison result.
As a further scheme of the invention: the delivery flow determination module includes:
the scheme reading unit is used for sequentially acquiring order information based on the user tags and reading the logistics scheme in the order information;
the first calculation unit is used for calculating logistics time and logistics environment parameters according to the logistics scheme;
the deterioration rate determining unit is used for inputting the logistics environment parameters into a trained deterioration simulation model to obtain the theoretical deterioration rate of the logistics stage;
the second calculation unit is used for calculating the deterioration degree of the logistics according to the logistics time and the theoretical deterioration rate of the logistics stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
the marking unit is used for traversing preset warehousing information according to the logistics deterioration degree and marking an information table in the warehousing information according to the traversing result;
and the target selecting unit is used for selecting a target information table from the marked information tables and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
As a further scheme of the invention: the delivery flow determination module includes:
the clustering unit is used for counting all order information and clustering the order information according to the generation time of the order information;
the curve fitting unit is used for calculating the total order quantity of various types of order information and generating a fitting curve according to the generation time and the calculated total order quantity;
the change rate determining unit is used for calculating the order change rate in real time based on the fitting curve and determining the storage change rate according to the order change rate;
the warehousing supplementing unit is used for determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, a unified information table of fruits in the process from collection to delivery is established through a preset information template, and when an image to be identified is received, a reference image can be quickly determined based on the information table, so that the comparison range is greatly reduced, and the identification efficiency is greatly improved; on the premise of meeting the advantage of low cost, the fruit state identification efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow chart of a method for judging the preservation quality state in the fruit storage and transportation process.
Fig. 2 is a block diagram of a first sub-process of a method for judging the preservation quality state during the storage and transportation of fruits.
Fig. 3 is a second sub-flow block diagram of the method for judging the preservation quality state in the fruit storage and transportation process.
Fig. 4 is a third sub-flow block diagram of the method for judging the preservation quality state in the fruit storage and transportation process.
Fig. 5 is a block diagram of the structure of the fresh-keeping quality state determination system during the storage and transportation of fruits.
Fig. 6 is a block diagram of the composition structure of the formula flow determination module in the freshness quality state determination system in the fruit storage and transportation process.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Example 1
Fig. 1 is a flow chart of a method for judging a preservation quality state in a fruit storage and transportation process, in an embodiment of the present invention, the method for judging the preservation quality state in the fruit storage and transportation process includes:
step S100: receiving an order request containing position information sent by a user, and generating order information containing a user label based on the position information;
step S100 is an order generation process, wherein a user sends an order request, and a system generates order information according to the order request; in the process of converting the order request into the order information, the system needs to perform some identification processes, which are common in the prior art, such as acquiring data of credit investigation reports, fund states and the like of the user and judging whether to generate the order information;
step S200: counting all order information, acquiring warehousing information, and determining a distribution flow chart according to the order information and the warehousing information; wherein, the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a quantity item, a product environment item and a theoretical deterioration rate item;
step S200 is a distinctive place of the technical scheme of the invention, and aims to generate a distribution flow chart from an acquisition link to a delivery link according to order information; specifically, the collecting link refers to that workers collect fruits and put the fruits in storage; the delivery link refers to the steps of generating order information, and delivering fruits from a warehouse to delivery; these processes are represented by information tables of uniform format; in practical application, a worker collects fruits and generates an information table for representing the collection state of the collected fruits when the fruits are put in storage; when receiving the order request of the user, selecting some fruits meeting the requirements according to the information tables, then reading the corresponding information tables, and continuing to record the delivery process in the information tables.
Step S300: acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information, and determining a reference image according to the theoretical deterioration rate;
when the architecture mentioned in the above contents is established, the prediction state of the product at a certain moment can be inquired at any time, and the reference data is determined by taking the prediction state as a reference;
step S400: comparing the product image with the reference image, and determining a detection scheme according to a comparison result;
step S400 is an execution process, when a product image at a certain moment is received, the fruit state can be judged by comparing according to the reference data determined by the content, and then whether the environmental control has a problem in the process of collecting and delivering the fruit is judged; for example, if the air conditioner is damaged in the storage process, the deterioration condition of the product image is more serious than that of the reference image; therefore, whether problems exist can be judged by comparing results, and how to solve the problems is specifically judged by workers.
Fig. 2 is a block diagram of a first sub-flow of a method for determining a fresh-keeping quality status during fruit storage and transportation, where the step of receiving an order request containing location information sent by a user and generating order information containing a user tag based on the location information includes steps S101 to S103:
step S101: receiving an order request containing order quantity sent by a user, acquiring evaluation parameters of the user, and correcting the order quantity based on the evaluation parameters; the evaluation parameters are determined by the order information and the feedback information of the user together in real time;
step S102: acquiring the position information of a user, inquiring and screening a passing scheme according to the position information, and determining a logistics scheme;
step S103: generating order information containing user labels according to the order quantity and the logistics scheme;
step S101 to step S103 describe specifically the generation process of the order information, and the emphasis is to correct the order request according to the evaluation parameter; the evaluation parameter is a generic concept, which refers to evaluation information generated by the system according to the historical data of the user.
Fig. 3 is a second sub-flow block diagram of the method for judging the preservation quality state during the storage and transportation of fruits, wherein the step of counting all the order information, obtaining the warehousing information, and determining the distribution flow table according to the order information and the warehousing information includes steps S201 to S206:
step S201: sequentially acquiring order information based on a user label, and reading a logistics scheme in the order information;
step S202: calculating logistics time and logistics environment parameters according to the logistics scheme;
step S203: inputting the logistics environment parameters into a trained deterioration simulation model to obtain the theoretical deterioration rate of the logistics stage;
step S204: calculating the deterioration degree of the logistics according to the logistics time and the theoretical deterioration rate of the logistics stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
step S205: traversing preset warehousing information according to the logistics deterioration degree, and marking an information table in the warehousing information according to the traversal result;
step S206: and selecting a target information table from the marked information tables, and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
The generation process of the distribution flow table is specifically described, wherein the logistics scheme can be determined by means of an existing map service App; the logistics environment parameters adopt the most common weather parameter standards (at least comprising air temperature and humidity); the metamorphic simulation model is a model which is predetermined according to experimental data and is used for carrying out experiments by workers; in the delivery link, the warehouse-out process is less in occupation and can be ignored, and the most important is the logistics link, so that the logistics process is analyzed, the warehousing information meeting the requirements can be obtained based on the analysis result, and a distribution flow table is generated.
Further, the step of traversing the preset warehousing information according to the logistics deterioration degree and marking the information table in the warehousing information according to the traversal result comprises the following steps:
reading the deterioration degree of the logistics, and calculating a deteriorated threshold value according to the deterioration degree of the logistics and a preset delivery requirement;
traversing an information table in the warehousing information, and calculating the deterioration degree according to a time node item and a theoretical deterioration rate item in the information table;
and comparing the metamorphic grade of each information table with the metamorphic threshold, and marking the corresponding information table when the metamorphic grade is smaller than the metamorphic threshold.
The above-mentioned content has described the course of obtaining the warehousing information meeting the requirements specifically, its principle is to judge whether the final deterioration degree exceeds the delivery requirement according to the deterioration degree of the logistics and already deteriorated degree in the warehousing process; this process is not difficult on the basis that the information table has been established.
Specifically, the step of selecting a target information table from the marked information tables and generating a distribution flow table based on the order number, the logistics environment parameters, the theoretical deterioration rate and the target information table includes:
acquiring a marked information table, and sequencing the marked information table according to the metamorphic grade of the marked information table;
reading the evaluation parameters of the user, and determining the value proportion of the user in all the users according to the evaluation parameters;
determining a target information table in the sorted information tables according to the value proportion;
reading the order quantity, and reading a bottom table in a target information table according to the order quantity; the bottom table is an information table only containing a number of items;
inserting logistics environment parameters into the bottom table to serve as product environment items, inserting theoretical deterioration rate to serve as theoretical deterioration rate items, and obtaining and inserting generation time to serve as time node items to obtain a distribution flow table.
The generation process of the distribution flow sheet is specifically described, a plurality of information sheets meeting the conditions in the warehousing information are provided, the users can be ranked according to the evaluation parameters of the users, and the users like old customers can be ranked in the front, so that the users can be provided with fresh fruits on the premise of meeting the requirements.
As a preferred embodiment of the technical solution of the present invention, the step of counting all the order information, obtaining the warehousing information, and determining the delivery flow chart according to the order information and the warehousing information includes:
counting all order information, and clustering the order information according to the generation time of the order information;
calculating the total order quantity of various types of order information, and generating a fitting curve according to the generation time and the calculated total order quantity;
calculating the order change rate in real time based on the fitted curve, and determining the storage change rate according to the order change rate;
determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters, and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
Firstly, simply predicting the storage state according to order information, and determining acquisition parameters according to the prediction condition; the determination process can be established by staff and executed by the system; then, according to the determined acquisition parameters, acquisition activities are carried out, new warehousing information can be generated, and the warehousing information is continuously updated based on the new warehousing information.
Fig. 4 is a block diagram of a third sub-process of a method for determining a fresh-keeping quality status during fruit storage and transportation, wherein the step of obtaining a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information, and determining a reference image according to the theoretical deterioration rate includes steps S301 to S303:
step S301: acquiring a product image containing acquisition time sent by each acquisition device, and comparing the acquisition time with a time node item in the distribution flow chart;
step S302: calculating the change time and the corresponding theoretical deterioration rate according to the comparison result;
step S303: and calculating the change degree according to the change time and the theoretical deterioration rate, and reading the reference image from a preset reference image library according to the change degree.
The reference image acquisition process is specifically described in steps S301 to S303, and for example, there is a distribution flow chart:
Figure 180020DEST_PATH_IMAGE002
at the moment, the product image is obtained in the transport vehicle in 5 days after 1 month, at the moment, the product image is in an orchard for 1 day, the product image is in a warehouse for 2 days, the deterioration degree of the product image is 14% on the transport vehicle for 2 days, and the reference image can be inquired based on the 14% deterioration degree.
It should be noted that the above is only an example, and in an actual process, the theoretical deterioration rate may be in units of hours, and time nodes may be specific scores; it is contemplated that the higher the level of specificity, the higher the demand for computing resources, and the higher the accuracy.
Example 2
Fig. 5 is a block diagram of a structure of a system for determining a state of preservation quality during storage and transportation of fruits, in an embodiment of the present invention, the system 10 includes:
the order information generating module 11 is configured to receive an order request containing location information sent by a user, and generate order information containing a user tag based on the location information;
the distribution flow determining module 12 is configured to count all order information, obtain warehousing information, and determine a distribution flow table according to the order information and the warehousing information; wherein, the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a quantity item, a product environment item and a theoretical deterioration rate item;
a reference image determining module 13, configured to obtain a product image containing time information, read a theoretical deterioration rate in the distribution flow chart according to the time information, and determine a reference image according to the theoretical deterioration rate;
and a comparison module 14, configured to compare the product image with the reference image, and determine a detection scheme according to a comparison result.
Fig. 6 is a block diagram of a formula flow determination module in a freshness quality status determination system during fruit storage and transportation, where the distribution flow determination module 12 includes:
the scheme reading unit 121 is configured to sequentially obtain order information based on a user tag, and read a logistics scheme in the order information;
a first calculating unit 122, configured to calculate a logistics time and a logistics environment parameter according to the logistics scheme;
the deterioration rate determining unit 123 is configured to input the logistics environment parameters into the trained deterioration simulation model to obtain a theoretical deterioration rate of the logistics stage;
a second calculating unit 124 for calculating the deterioration degree of the material flow according to the material flow time and the theoretical deterioration rate of the material flow stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
the marking unit 125 is configured to traverse preset warehousing information according to the logistics deterioration degree, and mark an information table in the warehousing information according to a traversal result;
and the target selecting unit 126 is used for selecting a target information table from the marked information tables and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
Further, the delivery flow determination module includes:
the clustering unit is used for counting all order information and clustering the order information according to the generation time of the order information;
the curve fitting unit is used for calculating the total order quantity of various types of order information and generating a fitting curve according to the generation time and the calculated total order quantity;
the change rate determining unit is used for calculating the order change rate in real time based on the fitting curve and determining the storage change rate according to the order change rate;
the warehousing supplementing unit is used for determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
The functions which can be realized by the method for judging the fresh-keeping quality state in the fruit storage and transportation process are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the method for judging the fresh-keeping quality state in the fruit storage and transportation process.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the above description of the serving device is merely an example and does not constitute a limitation of the terminal device, and may include more or less components than those described above, or some of the components may be combined, or different components may include, for example, input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth status display system (such as product information acquisition templates corresponding to different product categories, product information that needs to be issued by different product providers, and the like). In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for judging the preservation quality state of fruits in the storage and transportation process is characterized by comprising the following steps:
receiving an order request containing position information sent by a user, and generating order information containing a user label based on the position information;
counting all order information, acquiring warehousing information, and determining a distribution flow chart according to the order information and the warehousing information; the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a number item, a product environment item and a theoretical deterioration rate item;
acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow chart according to the time information, and determining a reference image according to the theoretical deterioration rate;
and comparing the product image with the reference image, and determining a detection scheme according to a comparison result.
2. The method according to claim 1, wherein the step of receiving an order request containing location information from a user and generating order information containing a user tag based on the location information comprises:
receiving an order request containing order quantity sent by a user, acquiring evaluation parameters of the user, and correcting the order quantity based on the evaluation parameters; the evaluation parameters are determined by the order information and the feedback information of the user together in real time;
acquiring the position information of a user, inquiring and screening a passing scheme according to the position information, and determining a logistics scheme;
and generating order information containing the user label according to the order quantity and the logistics scheme.
3. The method for judging the fresh-keeping quality state of the fruits in the storage and transportation process according to claim 2, wherein the step of counting all the order information, obtaining the storage information and determining a distribution flow chart according to the order information and the storage information comprises the following steps:
sequentially acquiring order information based on a user label, and reading a logistics scheme in the order information;
calculating logistics time and logistics environment parameters according to the logistics scheme;
inputting the logistics environment parameters into a trained deterioration simulation model to obtain the theoretical deterioration rate of the logistics stage;
calculating the deterioration degree of the logistics according to the logistics time and the theoretical deterioration rate of the logistics stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
traversing preset warehousing information according to the logistics deterioration degree, and marking an information table in the warehousing information according to the traversal result;
and selecting a target information table from the marked information tables, and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
4. The method for judging the freshness quality state of the fruits during storage and transportation according to claim 3, wherein the step of traversing the preset warehousing information according to the physical deterioration degree and marking the information table in the warehousing information according to the traversal result comprises the following steps:
reading the deterioration degree of the logistics, and calculating a deteriorated threshold value according to the deterioration degree of the logistics and a preset delivery requirement;
traversing an information table in the warehousing information, and calculating the deterioration degree according to a time node item and a theoretical deterioration rate item in the information table;
and comparing the metamorphic grade of each information table with the metamorphic threshold, and marking the corresponding information table when the metamorphic grade is smaller than the metamorphic threshold.
5. The method for determining the freshness quality status of fruits during storage and transportation according to claim 3, wherein the step of selecting a target information table from the marked information tables and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table comprises:
acquiring a marked information table, and sequencing the marked information table according to the metamorphic grade of the marked information table;
reading the evaluation parameters of the user, and determining the value proportion of the user in all the users according to the evaluation parameters;
determining a target information table in the sorted information tables according to the value proportion;
reading the order quantity, and reading a bottom table in a target information table according to the order quantity; the bottom table is an information table only containing a number of items;
inserting logistics environment parameters into the bottom table to serve as product environment items, inserting theoretical deterioration rate to serve as theoretical deterioration rate items, and obtaining and inserting generation time to serve as time node items to obtain a distribution flow table.
6. The method for judging the fresh-keeping quality state of the fruits in the storage and transportation process according to claim 3, wherein the step of counting all the order information, obtaining the storage information and determining a distribution flow chart according to the order information and the storage information comprises the following steps:
counting all order information, and clustering the order information according to the generation time of the order information;
calculating the total order quantity of various types of order information, and generating a fitting curve according to the generation time and the calculated total order quantity;
calculating the order change rate in real time based on the fitting curve, and determining the storage change rate according to the order change rate;
determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters, and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
7. The method for determining the freshness quality status of fruits during storage and transportation according to claim 2, wherein the step of obtaining the product image containing the time information, reading the theoretical deterioration rate in the distribution flow chart according to the time information, and determining the reference image according to the theoretical deterioration rate comprises:
acquiring a product image containing acquisition time sent by each acquisition device, and comparing the acquisition time with a time node item in the distribution flow chart;
calculating the change time and the corresponding theoretical deterioration rate according to the comparison result;
and calculating the change degree according to the change time and the theoretical deterioration rate, and reading the reference image from a preset reference image library according to the change degree.
8. A system for judging the fresh-keeping quality state of fruits in the storage and transportation process is characterized by comprising:
the order information generating module is used for receiving an order request containing position information sent by a user and generating order information containing a user label based on the position information;
the distribution flow determining module is used for counting all order information, acquiring warehousing information and determining a distribution flow table according to the order information and the warehousing information; wherein, the warehousing information is a set of information tables; the information table and the distribution flow table are the same in type and respectively comprise a time node item, a quantity item, a product environment item and a theoretical deterioration rate item;
the reference image determining module is used for acquiring a product image containing time information, reading a theoretical deterioration rate in the distribution flow sheet according to the time information and determining a reference image according to the theoretical deterioration rate;
and the comparison module is used for comparing the product image with the reference image and determining a detection scheme according to a comparison result.
9. The system for determining the freshness status of fruits during storage and transportation according to claim 8, wherein the distribution flow determining module comprises:
the scheme reading unit is used for sequentially acquiring order information based on the user tags and reading the logistics scheme in the order information;
the first calculation unit is used for calculating logistics time and logistics environment parameters according to the logistics scheme;
the deterioration rate determining unit is used for inputting the logistics environment parameters into a trained deterioration simulation model to obtain the theoretical deterioration rate of the logistics stage;
the second calculation unit is used for calculating the deterioration degree of the logistics according to the logistics time and the theoretical deterioration rate of the logistics stage; the degree of deterioration of said stream is a percentage value from 0 to 100%;
the marking unit is used for traversing preset warehousing information according to the logistics deterioration degree and marking an information table in the warehousing information according to the traversing result;
and the target selecting unit is used for selecting a target information table from the marked information tables and generating a distribution flow table based on the order quantity, the logistics environment parameters, the theoretical deterioration rate and the target information table.
10. The system of claim 9, wherein the distribution flow determination module comprises:
the clustering unit is used for counting all order information and clustering the order information according to the generation time of the order information;
the curve fitting unit is used for calculating the total order quantity of various types of order information and generating a fitting curve according to the generation time and the calculated total order quantity;
the change rate determining unit is used for calculating the order change rate in real time based on the fitting curve and determining the storage change rate according to the order change rate;
the warehousing supplementing unit is used for determining acquisition parameters according to the warehousing change rate and the warehousing quantity, generating an information table in real time according to the acquisition parameters and supplementing the warehousing information; the acquisition parameters comprise acquisition quantity, acquisition time, environmental parameters in the acquisition supplement process and corresponding theoretical deterioration rate.
CN202210752951.9A 2022-06-28 2022-06-28 Method and system for judging preservation quality state in fruit storage and transportation process Pending CN115034720A (en)

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