CN111027894A - Method and device for evaluating quality of stored articles in refrigeration house based on knowledge graph - Google Patents
Method and device for evaluating quality of stored articles in refrigeration house based on knowledge graph Download PDFInfo
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Abstract
The application provides a method and a device for evaluating the quality of articles stored in a refrigeration house based on a knowledge graph, wherein the method comprises the following steps: acquiring the use data, the environment information, the stored article information and the stored article display information of the cold storage after the temperature of the cold storage changes; acquiring a knowledge graph of the stored articles according to the information of the stored articles; determining quality influence factors of the stored articles according to the knowledge graph of the stored articles and the environmental information of the refrigeration house; and evaluating to obtain a quality evaluation result of the stored articles according to the use data of the refrigeration house, the refrigeration house environment information, the stored article display information, the quality influence factors of the stored articles and the knowledge map. According to the method and the device for evaluating the quality of the articles stored in the refrigeration house based on the knowledge graph, the quality evaluation result of the articles stored in the refrigeration house is obtained by evaluation and combined with the display and arrangement of the articles to be stored, so that a worker can clearly determine the treatment mode of the articles to be stored in the display and arrangement of the refrigeration house, and the articles stored in the refrigeration house are prevented from being treated by grass rate and the horse tiger ground.
Description
Technical Field
The application relates to the technical field of refrigeration houses, in particular to a method and a device for evaluating the quality of stored articles of a refrigeration house based on a knowledge graph.
Background
In the use process of the refrigeration house, the temperature of the refrigeration house sometimes fluctuates greatly, for example, the temperature of the refrigeration house is suddenly high or suddenly low or continuously rises, the reason influencing the temperature change of the refrigeration house is more, and the reason generally causing the temperature of the refrigeration house to fluctuate greatly is damage of a refrigeration compressor of the refrigeration house, excessive dirt in a condenser, insufficient liquid supply of an evaporator and the like.
When the temperature of the refrigerator fluctuates greatly, the properties and quality of the stored goods in the refrigerator may change. At present, under the condition that the properties and the quality of the articles stored in the refrigeration house are possibly influenced due to the large fluctuation of the temperature of the refrigeration house, the influence degree of the articles stored in the refrigeration house is difficult to determine, most treatment methods are to uniformly treat the articles stored in the refrigeration house, for example, uniform destruction or uniform price reduction sale, but the treatment methods are over-rate and sloppy, and the treatment methods are to destroy or price reduction sale together for the articles which are very slightly influenced, so that the waste of the articles, the waste of labor cost and the like are easily caused.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a method and an apparatus for evaluating the quality of stored goods in a refrigerator based on an intellectual map, which evaluate the quality of stored goods by using data after the temperature change of the refrigerator, stored goods display information, an intellectual map of the stored goods, and the like, to obtain a quality evaluation result of the stored goods displayed and placed in the refrigerator in combination with the stored goods, so that a worker can clearly determine the processing mode of the stored goods displayed and placed in the refrigerator, thereby avoiding the carelessness and the mahogany ground to process the stored goods in the refrigerator, and reducing the waste of goods and the waste of labor cost.
In a first aspect, an embodiment of the present application provides a method for evaluating the quality of articles stored in a refrigerator based on an knowledge graph, including:
acquiring the use data, the environment information, the stored article information and the stored article display information of the cold storage after the temperature of the cold storage changes;
acquiring a knowledge graph of the stored articles according to the information of the stored articles;
determining quality influence factors of the stored articles according to the knowledge graph of the stored articles and the environmental information of the refrigeration house;
and evaluating the quality of the stored articles according to the freezer use data, the freezer environment information, the stored article display information, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
In the implementation process, the method for evaluating the quality of the articles stored in the refrigeration house based on the knowledge graph in the embodiment of the application, the quality of the stored goods can be evaluated through the use data of the refrigerator after the temperature of the refrigerator is changed, the environment information of the refrigerator, the display information of the stored goods, the quality influence factor of the stored goods and the knowledge map of the stored goods after the temperature of the refrigerator is changed, the quality evaluation result of the stored goods is obtained, the quality evaluation result of the stored goods well combines the display and the arrangement of the stored goods in the refrigerator and the environment of the refrigerator, the quality evaluation result of the stored goods can be used for determining the influenced degree of the stored goods displayed and arranged in the refrigerator, the method is convenient for the working personnel to clearly determine the treatment mode of the stored articles displayed and arranged in the refrigeration house, and avoids the grass rate and the tiger ground to treat the stored articles in the refrigeration house, thereby reducing the waste of the articles and the waste of the labor cost.
Further, the evaluating the quality of the stored goods according to the freezer usage data, the freezer environment information, the stored goods display information, the quality influence factor of the stored goods, and the knowledge map of the stored goods to obtain the quality evaluation result of the stored goods includes:
simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of the stored articles;
and evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
In the implementation process, the method estimates the quality of the stored articles by simulating the internal environment of the refrigeration house and combining the quality influence factors of the stored articles and the knowledge graph of the stored articles, so that the obtained quality estimation result of the stored articles of the refrigeration house has higher reliability and accuracy.
Further, after the quality of the stored goods is evaluated according to the freezer usage data, the freezer environment information, the stored goods display information, the quality influence factor of the stored goods, and the knowledge map of the stored goods to obtain a quality evaluation result of the stored goods, the method further includes:
according to the display information of the stored articles, compiling and obtaining a display chart of the stored articles;
and performing quality classification and marking on the stored article display diagram according to the quality evaluation result of the stored articles to obtain a quality marking diagram of the stored articles.
In the implementation process, the quality classification labeling can be carried out on the compiled storage article display diagram to obtain the quality labeling diagram of the storage articles, and the quality labeling diagram of the storage articles can be convenient for workers to clearly check the quality evaluation result of the storage articles displayed in the refrigeration house, so that the workers can more conveniently and clearly determine the treatment mode of the storage articles displayed in the refrigeration house.
Further, after the quality of the stored goods is evaluated according to the freezer usage data, the freezer environment information, the stored goods display information, the quality influence factor of the stored goods, and the knowledge map of the stored goods to obtain a quality evaluation result of the stored goods, the method further includes:
and obtaining a suggested processing result of the stored article according to the information of the stored article and the quality evaluation result of the stored article.
In the implementation process, the method can reasonably and accurately obtain the recommended processing result of the articles stored in the refrigeration house according to the information of the stored articles and the quality evaluation result of the stored articles, the recommended processing result of the articles stored in the refrigeration house can be more convenient for processing the articles stored in the refrigeration house, and the working personnel do not need to consider how to process the articles stored in the refrigeration house according to experience, so that the processing efficiency of the working personnel on the articles stored in the refrigeration house can be improved.
Further, after obtaining the recommended processing result of the storage article according to the storage article information and the quality evaluation result of the storage article, the method further comprises:
and sending the quality evaluation result of the stored article and the suggested processing result of the stored article to the user terminal of the corresponding staff.
In the implementation process, the method can enable the corresponding staff to timely know the quality evaluation result of the stored article and the suggested processing result of the stored article by sending the quality evaluation result of the stored article and the suggested processing result of the stored article to the user terminal of the corresponding staff, so that the corresponding staff can process the stored article in the refrigeration house as early as possible.
In a second aspect, an embodiment of the present application provides an apparatus for evaluating the quality of articles stored in a refrigerator based on an intellectual map, including:
the first acquisition module is used for acquiring the use data, the environment information, the stored article information and the stored article display information of the refrigerator after the temperature of the refrigerator changes;
the second acquisition module is used for acquiring the knowledge graph of the stored article according to the information of the stored article;
the determining module is used for determining the quality influence factors of the stored articles according to the knowledge graph of the stored articles and the environment information of the refrigeration house;
and the evaluation module is used for evaluating the quality of the stored articles according to the use data of the refrigeration house, the environment information of the refrigeration house, the display information of the stored articles, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
In the implementation process, the device for evaluating the quality of the articles stored in the refrigeration house based on the knowledge graph in the embodiment of the application, the quality of the stored goods can be evaluated through the use data of the refrigerator after the temperature of the refrigerator is changed, the environment information of the refrigerator, the display information of the stored goods, the quality influence factor of the stored goods and the knowledge map of the stored goods after the temperature of the refrigerator is changed, the quality evaluation result of the stored goods is obtained, the quality evaluation result of the stored goods well combines the display and the arrangement of the stored goods in the refrigerator and the environment of the refrigerator, the quality evaluation result of the stored goods can be used for determining the influenced degree of the stored goods displayed and arranged in the refrigerator, the method is convenient for the working personnel to clearly determine the treatment mode of the stored articles displayed and arranged in the refrigeration house, and avoids the grass rate and the tiger ground to treat the stored articles in the refrigeration house, thereby reducing the waste of the articles and the waste of the labor cost.
Further, the evaluation module is specifically configured to:
simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of the stored articles;
and evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
In the implementation process, the device estimates the quality of the stored articles by simulating the internal environment of the refrigeration house and combining the quality influence factors of the stored articles and the knowledge graph of the stored articles, so that the obtained quality estimation result of the stored articles of the refrigeration house has higher reliability and accuracy.
Further, the refrigerator storage article quality assessment device based on the knowledge graph further comprises:
the compiling and drawing module is used for compiling and obtaining a stored article display chart according to the stored article display information;
and the marking module is used for carrying out quality classification marking on the stored article display chart according to the quality evaluation result of the stored articles to obtain a quality marking chart of the stored articles.
In the implementation process, the device can perform quality classification and marking on the compiled storage article display diagram to obtain a quality marking diagram of the storage articles, and the quality marking diagram of the storage articles can be convenient for workers to clearly check the quality evaluation result of the storage articles displayed in the refrigeration house, so that the workers can more conveniently and clearly determine the treatment mode of the storage articles displayed in the refrigeration house.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the above-mentioned method for evaluating the quality of the articles stored in the refrigerator based on the knowledge graph.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program used in the electronic device described above.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a method for evaluating the quality of articles stored in a refrigerator based on an intellectual graph according to an embodiment of the present application;
fig. 2 is a schematic flowchart of step S140 according to a first embodiment of the present disclosure;
fig. 3 is a block diagram illustrating a structure of a refrigerator stored article quality evaluation apparatus based on an intellectual map according to a second embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
When the temperature of the refrigerator fluctuates greatly, the properties and quality of the stored goods in the refrigerator may change. At present, under the condition that the properties and the quality of the articles stored in the refrigeration house are possibly influenced due to the large fluctuation of the temperature of the refrigeration house, the influence degree of the articles stored in the refrigeration house is difficult to determine, most treatment methods are to uniformly treat the articles stored in the refrigeration house, for example, uniform destruction or uniform price reduction sale, but the treatment methods are over-rate and sloppy, and the treatment methods are to destroy or price reduction sale together for the articles which are very slightly influenced, so that the waste of the articles, the waste of labor cost and the like are easily caused.
In view of the above problems in the prior art, the present application provides a method and an apparatus for evaluating the quality of stored articles in a refrigerator based on a knowledge graph, which evaluate the quality of the stored articles by using data after the temperature change of the refrigerator, stored article display information, the knowledge graph of the stored articles, and the like, to obtain a quality evaluation result of the stored articles combined with the display layout of the stored articles in the refrigerator, so that a worker can clearly determine the processing mode of the stored articles displayed in the refrigerator, thereby avoiding the careless rate and the mahogany ground to process the stored articles in the refrigerator, and reducing the waste of articles and the waste of labor cost.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for evaluating the quality of articles stored in a refrigerator based on an intellectual property map according to an embodiment of the present application. In the embodiment of the present application, the main execution unit for executing the method for evaluating the quality of the stored goods in the refrigerator based on the knowledge graph described below may be a server.
The method for evaluating the quality of the articles stored in the refrigeration house based on the knowledge graph comprises the following steps:
and step S110, acquiring the use data, the environment information, the stored article information and the stored article display information of the refrigerator after the temperature of the refrigerator changes.
In this embodiment, the temperature variation of the freezer can be understood as a continuous temperature rise of the freezer or a large fluctuation of the temperature of the freezer, wherein the large fluctuation of the temperature of the freezer can be that the amplitude of the temperature fluctuation of the freezer exceeds a preset fluctuation amplitude.
The usage data of the cold storage after the temperature change of the cold storage can comprise the temperature of the cold storage after the temperature change of the cold storage and the time of the temperature change of the cold storage, wherein the time of the temperature change of the cold storage can comprise the total time of the temperature change of the cold storage, the duration time of each temperature after the temperature change of the cold storage and the like.
Alternatively, the data of the usage of the refrigerator after the temperature of the refrigerator is changed can be obtained by corresponding sensors, such as a temperature sensor, a timer and the like, and can also be input by a worker.
The freezer environment information can comprise external environment information of the freezer and internal environment information of the freezer, wherein the external environment information of the freezer can comprise external temperature of the freezer, external weather of the freezer, external humidity of the freezer, external air circulation degree of the freezer and the like; the information of the internal environment of the refrigerator may include the internal humidity of the refrigerator, the air circulation degree inside the refrigerator, the internal air pressure inside the refrigerator, and the like.
Alternatively, the freezer environment information may be obtained by a corresponding sensor, such as a temperature sensor, a humidity sensor, etc., and may also be input by the worker.
The information of the stored articles can be the types of the stored articles, the stored articles can be one or more, the stored articles can be food, chemical materials, medicines, vaccines and other articles, the stored articles are taken as the food for example, and the types of the stored articles can be quick-frozen dumplings, pork, ice cream and the like.
Alternatively, the storage article information may be pre-stored or input by the operator.
The stored article display information may be a display position of the stored article, a display height of the stored article, or the like.
Alternatively, the stored item display information may be pre-stored or may be input by a worker.
And step S120, acquiring a knowledge graph of the storage article according to the storage article information.
In the present embodiment, the knowledge map of the storage article includes influence factors that influence the quality of the storage article, influence data on the quality of the storage article by the influence factors, and the like.
The knowledge-graphs of the storage items corresponding to different storage items contain different contents.
And step S130, determining the quality influence factor of the stored articles according to the knowledge graph of the stored articles and the refrigeration house environment information.
In this embodiment, the quality influencing factor of the stored goods may be the internal humidity of the freezer, the air circulation degree inside the freezer, the internal air pressure of the freezer, the illumination condition of the freezer, and the like.
And step S140, evaluating the quality of the stored goods according to the refrigerator use data, the refrigerator environment information, the stored goods display information, the quality influence factors of the stored goods and the knowledge map of the stored goods to obtain the quality evaluation result of the stored goods.
In the present embodiment, the quality evaluation results of the stored goods are combined with the display layout of the stored goods in the refrigerator and the environment of the refrigerator.
It is understood that the same type of stored goods may be in different display locations within the freezer and the corresponding quality assessment results may be different.
The quality assessment result of the storage article may be the degree of influence of the storage article, for example, 20%, etc., or may be the degree of influence of the storage article, for example, the degree of influence of the storage article is severe, weak, etc.
Alternatively, the result of the quality evaluation of the stored items may be displayed on the screen of the execution main body server.
Alternatively, the quality assessment results of the stored items may be displayed in the form of quality assessment reports of the stored items.
According to the method for evaluating the quality of the stored goods in the refrigeration house based on the knowledge graph, after the temperature of the refrigeration house changes, the quality of the stored goods can be evaluated through the utilization data of the refrigeration house after the temperature of the refrigeration house changes, the environment information of the refrigeration house, the display information of the stored goods, the quality influence factor of the stored goods and the knowledge graph of the stored goods, the quality evaluation result of the stored goods is obtained, the display arrangement of the stored goods in the refrigeration house and the environment of the refrigeration house are well combined with the quality evaluation result of the stored goods, the quality evaluation result of the stored goods can be used for determining the influenced degree of the stored goods displayed in the refrigeration house, so that a worker can clearly determine the treatment mode of the stored goods displayed in the refrigeration house, the cold storage goods are prevented from being treated in a careless mode and a horse ground, and the waste of goods and the labor.
In order to ensure that the obtained quality evaluation result of the stored goods is more reliable and accurate, the embodiment of the present application provides a possible implementation manner, and referring to fig. 2, fig. 2 is a schematic flow diagram of step S140 provided by the embodiment of the present application, the method for evaluating the quality of the stored goods in the refrigerator based on the knowledge base in the embodiment of the present application, step S140, evaluates the quality of the stored goods according to the data of the use of the refrigerator, the environment information of the refrigerator, the display information of the stored goods, the quality influence factor of the stored goods and the knowledge base of the stored goods, and obtains the quality evaluation result of the stored goods, including the following steps:
step S141, simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of the stored articles;
and step S142, evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
In this embodiment, the simulated freezer internal environment is a virtual freezer internal environment that is constructed.
In the process, the method estimates the quality of the stored articles by simulating the internal environment of the refrigeration house and combining the quality influence factors of the stored articles and the knowledge graph of the stored articles, so that the obtained quality estimation result of the stored articles of the refrigeration house has higher reliability and accuracy.
As an alternative embodiment, the method for evaluating the quality of stored goods in a refrigerator based on an intellectual map according to the embodiment of the present application may further include the following steps after evaluating the quality of the stored goods based on the refrigerator usage data, the refrigerator environment information, the stored goods display information, the quality influence factor of the stored goods, and the intellectual map of the stored goods to obtain the quality evaluation result of the stored goods in step S140:
according to the display information of the stored articles, compiling and obtaining a display chart of the stored articles;
and performing quality classification and marking on the stored article display diagram according to the quality evaluation result of the stored articles to obtain a quality marking diagram of the stored articles.
In such an embodiment, the display of the storage items may be one or more, and similarly, the quality label of the storage items may be one or more.
The quality classification labeling is carried out on the stored article display chart, and the quality evaluation results of different stored articles can be labeled in different colors according to the quality evaluation results of the stored articles.
In the process, the quality classification labeling can be carried out on the compiled storage article display diagram to obtain the quality labeling diagram of the storage articles, and the quality labeling diagram of the storage articles can be convenient for workers to clearly check the quality evaluation result of the storage articles displayed and arranged in the refrigeration house, so that the workers can more conveniently and clearly determine the treatment mode of the storage articles displayed and arranged in the refrigeration house.
As an alternative embodiment, the method for evaluating the quality of stored goods in a refrigerator based on an intellectual map according to the embodiment of the present application may further include the following steps after evaluating the quality of the stored goods based on the refrigerator usage data, the refrigerator environment information, the stored goods display information, the quality influence factor of the stored goods, and the intellectual map of the stored goods to obtain the quality evaluation result of the stored goods in step S140:
and obtaining a suggested processing result of the stored article according to the information of the stored article and the quality evaluation result of the stored article.
In such an embodiment, the suggested treatment outcome for the stored items may be normal sale, reduced price sale, or destruction of the stored items.
Since some of the stored articles (for example, vaccines, etc.) cannot be sold or used unless they are affected, the recommended processing result of the stored articles can be reasonably and accurately obtained from the stored article information and the quality evaluation result of the stored articles.
Alternatively, the suggested processing result of the storage item may be displayed on the screen of the execution main body server described above.
In the process, the method can reasonably and accurately obtain the recommended processing result of the articles stored in the refrigeration house according to the information of the stored articles and the quality evaluation result of the stored articles, the recommended processing result of the articles stored in the refrigeration house can be more convenient for processing the articles stored in the refrigeration house, and the working personnel do not need to consider how to process the articles stored in the refrigeration house according to experience, so that the processing efficiency of the working personnel on the articles stored in the refrigeration house can be improved.
Optionally, after obtaining the recommended processing result of the stored article according to the stored article information and the quality evaluation result of the stored article, the method for evaluating the quality of the stored article in the refrigerator based on the knowledge graph according to the embodiment of the present application may further include the following steps:
and sending the quality evaluation result of the stored articles and the suggested processing result of the stored articles to the user terminal of the corresponding staff.
In the process, the quality evaluation result of the stored articles and the recommended processing result of the stored articles can be timely obtained by the corresponding staff by sending the quality evaluation result of the stored articles and the recommended processing result of the stored articles to the user terminal of the corresponding staff, so that the corresponding staff can process the stored articles in the refrigeration house as soon as possible.
Example two
In order to implement the method corresponding to the above embodiment to achieve the corresponding functions and technical effects, the following provides a freezer storage quality assessment device based on the knowledge map.
Referring to fig. 3, fig. 3 is a block diagram illustrating a structure of an apparatus for evaluating a quality of a freezer storage based on an intellectual property map according to an embodiment of the present invention.
The freezer that this application embodiment is based on knowledge map stores article quality evaluation device includes:
the first acquisition module 210 is used for acquiring the use data, the environment information, the stored article information and the stored article display information of the refrigerator after the temperature of the refrigerator changes;
the second obtaining module 220 is configured to obtain a knowledge graph of the storage item according to the information of the storage item;
the determining module 230 is configured to determine a quality influence factor of the stored goods according to the knowledge graph of the stored goods and the information of the environment of the refrigeration storage;
and the evaluation module 240 is used for evaluating the quality of the stored articles according to the refrigerator use data, the refrigerator environment information, the stored article display information, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
The device for evaluating the quality of the stored goods in the refrigeration house based on the knowledge graph can evaluate the quality of the stored goods through the refrigeration house use data, the refrigeration house environment information, the stored goods display information, the quality influence factor of the stored goods and the knowledge graph of the stored goods after the temperature of the refrigeration house changes, so that the quality evaluation result of the stored goods can be well combined with the display arrangement of the stored goods in the refrigeration house and the refrigeration house environment, the quality evaluation result of the stored goods can be used for determining the influenced degree of the stored goods displayed in the refrigeration house, so that a worker can clearly determine the treatment mode of the stored goods displayed in the refrigeration house, the cold storage goods can be treated in a careless mode and a horse ground mode, and the waste of goods and the waste of labor cost are reduced.
As an alternative implementation, the evaluation module 240 may be specifically configured to:
simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of stored articles;
and evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
As an optional implementation manner, the apparatus for evaluating the quality of the articles stored in the refrigerator based on the knowledge graph according to the embodiment of the present application may further include:
the compiling and drawing module is used for compiling and obtaining a stored article display chart according to the stored article display information;
and the marking module is used for carrying out quality classification marking on the stored article display diagram according to the quality evaluation result of the stored articles to obtain a quality marking diagram of the stored articles.
As an optional implementation manner, the apparatus for evaluating the quality of the articles stored in the refrigerator based on the knowledge graph according to the embodiment of the present application may further include:
and the feedback module is used for obtaining the suggested processing result of the stored article according to the information of the stored article and the quality evaluation result of the stored article.
Optionally, the refrigerator storage article quality assessment device based on the knowledge graph according to the embodiment of the present application may further include:
and the sending module is used for sending the quality evaluation result of the stored articles and the suggestion processing result of the stored articles to the user terminal of the corresponding staff.
The above-described refrigerator stored article quality evaluation apparatus based on an intellectual map can implement the refrigerator stored article quality evaluation method based on an intellectual map according to the first embodiment. The alternatives in the first embodiment are also applicable to the present embodiment, and are not described in detail here.
The rest of the embodiments of the present application may refer to the contents of the first embodiment, and in this embodiment, details are not repeated.
EXAMPLE III
The embodiment of the application provides electronic equipment, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic equipment to execute the method for evaluating the quality of the articles stored in the refrigeration house based on the knowledge graph.
Alternatively, the electronic device may be a server.
In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program used in the electronic device.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for evaluating the quality of articles stored in a refrigeration house based on knowledge graph is characterized by comprising the following steps:
acquiring the use data, the environment information, the stored article information and the stored article display information of the cold storage after the temperature of the cold storage changes;
acquiring a knowledge graph of the stored articles according to the information of the stored articles;
determining quality influence factors of the stored articles according to the knowledge graph of the stored articles and the environmental information of the refrigeration house;
and evaluating the quality of the stored articles according to the freezer use data, the freezer environment information, the stored article display information, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
2. The method for assessing the quality of stored goods in a refrigerator according to claim 1, wherein the assessing the quality of stored goods based on the refrigerator usage data, the refrigerator environment information, the stored goods display information, the quality influence factor of the stored goods, and the knowledge map of the stored goods to obtain the assessment result of the quality of the stored goods comprises:
simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of the stored articles;
and evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
3. The method for assessing the quality of stored goods in a freezer according to claim 1, wherein after said assessing the quality of stored goods based on said freezer usage data, said freezer environment information, said stored goods display information, said quality impact factors for stored goods, and said knowledge map of stored goods to obtain a quality assessment result for stored goods, said method further comprises:
according to the display information of the stored articles, compiling and obtaining a display chart of the stored articles;
and performing quality classification and marking on the stored article display diagram according to the quality evaluation result of the stored articles to obtain a quality marking diagram of the stored articles.
4. The method for assessing the quality of stored goods in a freezer according to claim 1, wherein after said assessing the quality of stored goods based on said freezer usage data, said freezer environment information, said stored goods display information, said quality impact factors for stored goods, and said knowledge map of stored goods to obtain a quality assessment result for stored goods, said method further comprises:
and obtaining a suggested processing result of the stored article according to the information of the stored article and the quality evaluation result of the stored article.
5. The method of estimating the quality of stored items in a freezer based on a knowledge-graph according to claim 4, wherein after obtaining the recommended processing result of the stored items based on the stored item information and the quality estimation result of the stored items, the method further comprises:
and sending the quality evaluation result of the stored article and the suggested processing result of the stored article to the user terminal of the corresponding staff.
6. A freezer stores article quality assessment device based on knowledge map, its characterized in that includes:
the first acquisition module is used for acquiring the use data, the environment information, the stored article information and the stored article display information of the refrigerator after the temperature of the refrigerator changes;
the second acquisition module is used for acquiring the knowledge graph of the stored article according to the information of the stored article;
the determining module is used for determining the quality influence factors of the stored articles according to the knowledge graph of the stored articles and the environment information of the refrigeration house;
and the evaluation module is used for evaluating the quality of the stored articles according to the use data of the refrigeration house, the environment information of the refrigeration house, the display information of the stored articles, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
7. The knowledge-graph-based freezer storage quality assessment device of claim 6, wherein said assessment module is specifically configured to:
simulating the internal environment of the refrigeration house according to the refrigeration house use data, the refrigeration house environment information and the quality influence factors of the stored articles;
and evaluating the quality of the stored articles according to the simulated internal environment of the refrigeration house, the quality influence factors of the stored articles and the knowledge graph of the stored articles to obtain the quality evaluation result of the stored articles.
8. The knowledge-map-based freezer storage quality assessment apparatus according to claim 6, wherein said knowledge-map-based freezer storage quality assessment apparatus further comprises:
the compiling and drawing module is used for compiling and obtaining a stored article display chart according to the stored article display information;
and the marking module is used for carrying out quality classification marking on the stored article display chart according to the quality evaluation result of the stored articles to obtain a quality marking chart of the stored articles.
9. An electronic device, comprising a memory for storing a computer program and a processor for executing the computer program to make the electronic device execute the method for estimating the quality of the articles stored in the refrigerator based on the knowledge-graph according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that it stores a computer program for use in the electronic device of claim 9.
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| CN202010030634.7A CN111027894A (en) | 2020-01-10 | 2020-01-10 | Method and device for evaluating quality of stored articles in refrigeration house based on knowledge graph |
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008002903A (en) * | 2006-06-21 | 2008-01-10 | Mitsui Mining & Smelting Co Ltd | Internal quality evaluation apparatus of vegetables and fruits |
| CN102539335A (en) * | 2010-12-29 | 2012-07-04 | 广州拜尔冷链聚氨酯科技有限公司 | System ad method for detecting and predicting quality of perishable goods in real time |
| CN103235583A (en) * | 2013-04-25 | 2013-08-07 | 上海理工大学 | Cold-chain logistics monitoring system on basis of Beidou satellite/GPS (Global Position System) navigation and positioning |
| CN104298868A (en) * | 2014-09-30 | 2015-01-21 | 北京农业信息技术研究中心 | Chilled meat shelf life forecasting method and system for cold-chain logistics |
| CN104483458A (en) * | 2014-09-30 | 2015-04-01 | 山东国家农产品现代物流工程技术研究中心 | Method for predicting shelf life of cold chain pork and system thereof |
| CN105928292A (en) * | 2016-04-20 | 2016-09-07 | 山东三九制冷设备有限公司 | Photovoltaic refrigerator system controlled based on load prediction and demand response of neural network |
| US20160265844A1 (en) * | 2013-11-27 | 2016-09-15 | Laboratorio Reig Jofre, S.A. | Process for controlling the quality of a freeze-drying process |
| CN106990213A (en) * | 2017-01-23 | 2017-07-28 | 青岛海尔智能技术研发有限公司 | Food freshness detection method in a kind of refrigerator |
| CN107146050A (en) * | 2017-04-24 | 2017-09-08 | 南京农业大学 | A kind of cold chain transportation environmental forecasting method and system |
| CN107449215A (en) * | 2016-05-30 | 2017-12-08 | 上海通用制冷实业有限公司 | The method of freezer intelligent monitoring system and analysis monitoring data based on internet |
| CN108182406A (en) * | 2017-12-28 | 2018-06-19 | 仝西鲁 | The article display recognition methods of retail terminal and system |
| CN108347487A (en) * | 2018-02-12 | 2018-07-31 | 跨理（广州）供应链管理有限公司 | Internet of things system for article quality monitoring and the method by Internet of things system monitoring article quality |
| CN108549870A (en) * | 2018-04-16 | 2018-09-18 | 图麟信息科技（深圳）有限公司 | A kind of method and device that article display is differentiated |
| CN108662843A (en) * | 2017-03-27 | 2018-10-16 | 青岛海尔智能技术研发有限公司 | The detecting system and refrigerator of food in refrigerator |
| CN109242563A (en) * | 2018-09-03 | 2019-01-18 | 索信科技（北京）有限公司 | A kind of intelligent information monitoring application method and system |
| CN109308594A (en) * | 2018-09-13 | 2019-02-05 | 河南经贸职业学院 | A kind of monitoring method and monitoring system for Cold Chain Logistics haulage vehicle |
| CN110032119A (en) * | 2019-04-28 | 2019-07-19 | 武汉理工大学 | A kind of monitoring system and its working method of fresh flower frozen products insulated container |
| CN110135788A (en) * | 2019-05-26 | 2019-08-16 | 浙江大学 | A kind of Cold Chain Logistics transporting equipment, Cold Chain Logistics system and cargo Dynamic Pricing method |
-
2020
- 2020-01-10 CN CN202010030634.7A patent/CN111027894A/en active Pending
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008002903A (en) * | 2006-06-21 | 2008-01-10 | Mitsui Mining & Smelting Co Ltd | Internal quality evaluation apparatus of vegetables and fruits |
| CN102539335A (en) * | 2010-12-29 | 2012-07-04 | 广州拜尔冷链聚氨酯科技有限公司 | System ad method for detecting and predicting quality of perishable goods in real time |
| CN103235583A (en) * | 2013-04-25 | 2013-08-07 | 上海理工大学 | Cold-chain logistics monitoring system on basis of Beidou satellite/GPS (Global Position System) navigation and positioning |
| US20160265844A1 (en) * | 2013-11-27 | 2016-09-15 | Laboratorio Reig Jofre, S.A. | Process for controlling the quality of a freeze-drying process |
| CN104298868A (en) * | 2014-09-30 | 2015-01-21 | 北京农业信息技术研究中心 | Chilled meat shelf life forecasting method and system for cold-chain logistics |
| CN104483458A (en) * | 2014-09-30 | 2015-04-01 | 山东国家农产品现代物流工程技术研究中心 | Method for predicting shelf life of cold chain pork and system thereof |
| CN105928292A (en) * | 2016-04-20 | 2016-09-07 | 山东三九制冷设备有限公司 | Photovoltaic refrigerator system controlled based on load prediction and demand response of neural network |
| CN107449215A (en) * | 2016-05-30 | 2017-12-08 | 上海通用制冷实业有限公司 | The method of freezer intelligent monitoring system and analysis monitoring data based on internet |
| CN106990213A (en) * | 2017-01-23 | 2017-07-28 | 青岛海尔智能技术研发有限公司 | Food freshness detection method in a kind of refrigerator |
| CN108662843A (en) * | 2017-03-27 | 2018-10-16 | 青岛海尔智能技术研发有限公司 | The detecting system and refrigerator of food in refrigerator |
| CN107146050A (en) * | 2017-04-24 | 2017-09-08 | 南京农业大学 | A kind of cold chain transportation environmental forecasting method and system |
| CN108182406A (en) * | 2017-12-28 | 2018-06-19 | 仝西鲁 | The article display recognition methods of retail terminal and system |
| CN108347487A (en) * | 2018-02-12 | 2018-07-31 | 跨理（广州）供应链管理有限公司 | Internet of things system for article quality monitoring and the method by Internet of things system monitoring article quality |
| CN108549870A (en) * | 2018-04-16 | 2018-09-18 | 图麟信息科技（深圳）有限公司 | A kind of method and device that article display is differentiated |
| CN109242563A (en) * | 2018-09-03 | 2019-01-18 | 索信科技（北京）有限公司 | A kind of intelligent information monitoring application method and system |
| CN109308594A (en) * | 2018-09-13 | 2019-02-05 | 河南经贸职业学院 | A kind of monitoring method and monitoring system for Cold Chain Logistics haulage vehicle |
| CN110032119A (en) * | 2019-04-28 | 2019-07-19 | 武汉理工大学 | A kind of monitoring system and its working method of fresh flower frozen products insulated container |
| CN110135788A (en) * | 2019-05-26 | 2019-08-16 | 浙江大学 | A kind of Cold Chain Logistics transporting equipment, Cold Chain Logistics system and cargo Dynamic Pricing method |
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