CN111210087B - Method and device for dynamically predicting, controlling and optimizing transport quality of aquatic product without water conservation - Google Patents
Method and device for dynamically predicting, controlling and optimizing transport quality of aquatic product without water conservation Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for dynamically predicting, controlling and optimizing the transport quality of an aquatic product without water conservation, wherein the method comprises the following steps: acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products, and establishing a dynamic prediction model of the quality of the aquatic products according to the key parameter information and the corresponding moments; obtaining a key factor corresponding to the quality of the aquatic product on the market, and establishing a shelf life quality calculation model according to the key factor and a quality dynamic prediction model; detecting the transportation quality requirement, calculating the quality attenuation speed according to the quality requirement and the quality dynamic prediction model, acquiring an optimization scheme according to the quality attenuation speed, and optimizing the anhydrous keep-alive transportation of aquatic products according to the optimization scheme; detecting the shelf life quality requirement of the aquatic product, and adjusting the setting of key parameters according to the shelf life quality requirement and the shelf life quality calculation model. By adopting the method, the quality safety intelligent early warning, regulation and control optimization of the waterless keep-alive transportation of the aquatic products can be realized.
Description
Technical Field
The invention relates to the technical field of keep-alive transportation, in particular to a method and a device for dynamically predicting, controlling and optimizing the quality of waterless keep-alive transportation of aquatic products.
Background
The waterless keep-alive transportation is used as a green and economic transportation mode, and compared with the traditional transportation mode, the waterless keep-alive transportation has certain advantages in transportation density, transportation management, keep-alive quality and the like, and can ensure that some aquatic products needing to survive can be transported in a living state.
But there are many theoretical and technical gaps in the quality and control optimization of waterless keep-alive transportation. Meanwhile, with the increase of the market demand of fresh and live aquatic products, the monitoring of the transport quality of the aquatic products without water is still blank at present. Therefore, how to construct a dynamic prediction method for the anhydrous keep-alive quality of aquatic products and control and optimize the key influence parameters of the anhydrous keep-alive transportation is a problem to be solved urgently at present.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and a device for dynamically predicting, controlling and optimizing the transport quality of an aquatic product without water.
The embodiment of the invention provides a method for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water conservation, which comprises the following steps:
acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products, and establishing a dynamic quality prediction model of the aquatic products according to the key parameter information and the corresponding moments;
obtaining a key factor corresponding to the quality of the aquatic product on the market, and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model;
detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme;
detecting the shelf life quality requirement of the aquatic product, and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
In one embodiment, the method further comprises:
constructing a key signal data set according to the key parameter information, and normalizing the key signal data set to obtain a characteristic sequence and a data fusion matrix of the key parameter information;
calculating the quality influence weight of the key parameter information at the corresponding moment;
and establishing a dynamic aquatic product quality prediction model according to the characteristic sequence of the key parameter information, the data fusion matrix and the quality influence weight.
In one embodiment, the quality dynamic prediction model is calculated by the following equation:
wherein P is the quality of the aquatic product at the moment T of waterless keep-alive transportation, and Q is a data fusion matrix wiFor the quality impact weight of the key parameter information,
is a characteristic sequence of key parameter information.
In one embodiment, the method further comprises:
calculating the accumulated influence weight of the key factors, and acquiring the change rate of the key factors in the quality dynamic prediction model;
and establishing a shelf life quality calculation model of the aquatic product according to the accumulated influence weight of the key factors, the change rate of the key factors and the prediction result of the quality dynamic prediction model.
In one embodiment, the shelf life quality calculation model is calculated by the following equation:
wherein, Y(x)Is the shelf life quality of the aquatic product, Delta XiIs TiTime periodRate of change of internal key factor, TiTime of transport for water-free keeping aliveiThe weight is the accumulated influence weight of the key factor, and P is the comprehensive quality parameter of the aquatic product at the T moment of the waterless keep-alive transportation.
In one embodiment, the method further comprises:
the key parameter information comprises individual physiological parameters of aquatic products and parameters of the waterless keep-alive transportation environment;
the individual physiological parameters of the aquatic products comprise: superoxide dismutase concentration, catalase concentration, blood sugar concentration and cortisol concentration;
the waterless keep-alive transportation environment parameters comprise: temperature, oxygen concentration, carbon dioxide concentration, volatile basic nitrogen concentration.
In one embodiment, the key factors include:
temperature, oxygen concentration, carbon dioxide concentration, total number of microbial communities.
The embodiment of the invention provides a device for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water conservation, which comprises:
the first acquisition module is used for acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products and establishing a dynamic prediction model of the quality of the aquatic products according to the key parameter information and the corresponding moments;
the second acquisition module is used for acquiring a key factor corresponding to the quality of the aquatic product on the market and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model;
the first detection module is used for detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme;
and the second detection module is used for detecting the shelf life quality requirement of the aquatic product and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
The embodiment of the invention provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor executes the program to realize the steps of the method for dynamically predicting the waterless keep-alive transportation quality of aquatic products and controlling and optimizing the transportation quality.
The embodiment of the invention provides a non-transitory computer readable storage medium, wherein a computer program is stored on the non-transitory computer readable storage medium, and when the computer program is executed by a processor, the steps of the method for dynamically predicting and controlling and optimizing the transport quality of the aquatic product without water keep alive are realized.
The method and the device for dynamically predicting, controlling and optimizing the transport quality of the aquatic product without water keep-alive provided by the embodiment of the invention are respectively used for meeting the control and optimization of each key parameter of the aquatic product under the condition of water-free keep-alive real-time transport and for inverting and optimizing the keep-alive transport condition with clear shelf life requirement by establishing a control optimization method based on the keep-alive transport quality evaluation parameter and an optimization method based on the keep-alive transport condition of the optimal interval of the marketing quality. Based on the method for predicting, controlling and optimizing the quality of the waterless keep-alive transportation of the aquatic products, the intelligent early warning, regulation and optimization of the quality safety of the waterless keep-alive transportation of the aquatic products are further realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, 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 some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water;
FIG. 2 is a flow chart of a control optimization process based on keep-alive traffic quality assessment parameters in another embodiment of the invention;
FIG. 3 is a structural diagram of a device for dynamically predicting and controlling optimization of transportation quality of aquatic products without water conservation in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow diagram of a method for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water conservation provided by an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a method for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water conservation, including:
step S101, obtaining key parameter information in the waterless keep-alive transportation process of the aquatic products and corresponding moments of the key parameter information, and establishing a dynamic quality prediction model of the aquatic products according to the key parameter information and the corresponding moments.
Specifically, acquiring key parameter information of an aquatic product in an anhydrous keep-alive transportation process and acquiring corresponding moments when the key parameter information is acquired, wherein the key parameter information can include individual physiological parameters of the aquatic product and parameters of an anhydrous keep-alive transportation environment, for example, the individual physiological parameters of the aquatic product include: superoxide dismutase concentration, catalase concentration, blood sugar concentration and cortisol concentration; the waterless keep-alive transportation environment parameters comprise: temperature, oxygen concentration, carbon dioxide concentration, volatile basic nitrogen concentration. And then establishing a dynamic prediction model of the quality of the aquatic product according to the key parameter information and the corresponding moment, namely establishing a dynamic prediction model of the quality of the aquatic product in the waterless keep-alive transportation process according to the key parameters and physiological parameters of the microenvironment for the waterless keep-alive transportation of the aquatic product, the acquisition time period of the key parameters and the quality of the corresponding aquatic product.
And S102, obtaining a key factor corresponding to the marketing quality of the aquatic product, and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model.
Specifically, key factors corresponding to the quality of aquatic products required when the aquatic products are on the market, namely the aquatic products are put on a shelf are obtained, wherein the types of the key factors can be temperature, oxygen concentration, carbon dioxide concentration and total number of microbial communities, and then a shelf life quality calculation model of the aquatic products is established according to the key factors and a quality dynamic prediction model, wherein the model establishment can be established through the change rate and the influence weight of the key factors and in combination with a quality prediction result obtained by the quality dynamic prediction model of the aquatic products in the process of waterless keep-alive transportation.
S103, detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme.
Specifically, the real-time quality requirement of live-keeping transportation of aquatic products is detected, the transportation quality requirement is generally related to the types of the aquatic products, but most of the aquatic products are live-keeping of different degrees, the quality attenuation speed of the aquatic products is calculated according to the live-keeping requirement and a quality dynamic prediction model, wherein the quality attenuation speed refers to the attenuation speed of the quality parameter at the moment of live-keeping transportation relative to the lowest quality requirement on the market under a fixed time sequence in the live-keeping transportation process, then, corresponding different optimization schemes are obtained according to different quality attenuation speeds, for example, when the quality attenuation speed is relatively slow, only one key parameter needs to be correspondingly adjusted, when the quality attenuation speed is increasingly fast, multiple key parameters need to be adjusted, and anhydrous live-keeping transportation is optimized according to different optimization schemes.
And S104, detecting the shelf life quality requirement of the aquatic product, and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
Specifically, the quality requirement of the aquatic products in the shelf life is detected, the quality requirement of the shelf life is generally related to the types of the aquatic products, for example, if the lowest edible quality of the shrimp and shellfish products needs to be guaranteed under anhydrous inflation packaging, and the lowest edible quality is influenced, key influence parameters of anhydrous keep-alive in the shelf life include temperature, oxygen and carbon dioxide; for aquatic products such as rainbow trout and the like, the aquatic products are slaughtered and divided after the waterless keep-alive transportation, the requirement on the lowest marketing quality is that the optimal fresh-alive quality of fish needs to be ensured before the keep-alive transportation is finished, so the influence on the shelf life of the aquatic products on the marketing mainly lies in the condition parameter setting of the waterless keep-alive transportation stage, the corresponding key parameter information is selected according to the quality requirement on the shelf life, the adjustment amplitude is calculated according to the quality calculation model on the shelf life, and the key parameter setting in the keep-alive transportation process is adjusted.
The method for dynamically predicting and controlling and optimizing the waterless keep-alive transportation quality of the aquatic product is used for meeting the control and optimization of each key parameter of the aquatic product under the waterless keep-alive real-time transportation condition and the reverse calculation and optimization of the keep-alive transportation condition with clear shelf life requirement by establishing a control optimization method based on the keep-alive transportation quality evaluation parameter and an optimization method based on the keep-alive transportation condition of the optimal marketing quality interval. Based on the method for predicting, controlling and optimizing the quality of the waterless keep-alive transportation of the aquatic products, the intelligent early warning, regulation and optimization of the quality safety of the waterless keep-alive transportation of the aquatic products are further realized.
On the basis of the embodiment, the aquatic product water-free keep-alive transportation quality dynamic prediction and control optimization method further comprises the following steps:
constructing a key signal data set according to the key parameter information, and normalizing the key signal data set to obtain a characteristic sequence and a data fusion matrix of the key parameter information;
calculating the quality influence weight of the key parameter information at the corresponding moment;
and establishing a dynamic aquatic product quality prediction model according to the characteristic sequence of the key parameter information, the data fusion matrix and the quality influence weight.
In an embodiment of the present invention, specifically, the step of establishing the quality dynamic prediction model may include:
acquiring key parameter information by using flexible printable sensor and biological sensing technology to form TiTime segment key signal data set Xi＝{Xa,Xb,Xc… } in which X isa,b,c…Key factors of the physiological state of the water-free keep-alive transportation individual and key parameters of the keep-alive transportation microenvironment;
according to the above-mentioned TiTime segment key signal data set Xi＝{Xa,Xb,Xc… }, to construct TiCalculating a quality influence weight w of each key parameter at the moment T by using a data fusion matrix Q after the time period key signal normalization;
by TiCumulative impact weight w over a period of timeiAnd the normalized data fusion matrix Q is used for establishing the aquatic productThe product anhydrous keep-alive transportation quality dynamic prediction model comprises the following steps:
wherein P is the quality of the aquatic product at the moment T of waterless keep-alive transportation, and Q is a data fusion matrix wiFor the quality impact weight of the key parameter information,
is a characteristic sequence of key parameter information.
The calculation method of the normalized data fusion matrix Q comprises the following steps
Wherein
The characteristic sequences of the information of each key parameter after normalization processing are obtained;
Ticumulative impact weight w over a period of timeiIs calculated by
Wherein w is calculated from biochemical assay measurements;
and then establishing a key parameter signal-keep-alive transportation quality parameter-marketing quality coupling prediction original equation according to the quality parameters at the known T moment, namely, a main change influencing the shelf life obeys a quality dynamic accumulation equation.
According to the embodiment of the invention, a live-keeping transportation real-time quality dynamic prediction model of aquatic products is established through the characteristic sequence, the data fusion matrix and the quality influence weight of the key parameter information.
On the basis of the embodiment, the aquatic product water-free keep-alive transportation quality dynamic prediction and control optimization method further comprises the following steps:
calculating the accumulated influence weight of the key factors, and acquiring the change rate of the key factors in the quality dynamic prediction model;
and establishing a shelf life quality calculation model of the aquatic product according to the accumulated influence weight of the key factors, the change rate of the key factors and the prediction result of the quality dynamic prediction model.
In an embodiment of the present invention, the step of establishing the shelf life quality calculation model of the aquatic product may include:
critical factor cumulative weight muiThe accumulated influence weight of the main influence factors of the marketing quality of the aquatic products is calculated by the following specific formula
Wherein T isi'The total time of the aquatic products on the market, Xi'A sensing signal data set of key factors at the time T, j is an imaginary number set, and T is the time T;
the comprehensive quality index P of the live-keeping transportation at the T moment is the comprehensive quality parameter of the aquatic product at the waterless live-keeping transportation at the T moment, and the calculation formula is
Wherein, wiFor the cumulative weight of influence of each key parameter in the keep-alive transportation process,
carrying out normalization processing on the signal characteristic sequences of each key parameter of the keep-alive transportation;
in order to uniformly predict the market quality coupling under specific keep-alive transportation conditions, namely the shelf life of aquatic products, the embodiment of the invention accumulates the weight mu according to the quality evaluation parameter P and the key factor under the known T momentiEstablishing a key parameter signal-keep-alive transportation quality parameter-marketing quality coupled prediction original equation Y(x)And calculating the corresponding shelf life by substituting and analyzing an equation, wherein the market shelf life calculation formula is as follows:
wherein, Y(x)Is the shelf life quality of the aquatic product, Delta XiIs TiRate of change of key factor, T, over timeiTime of transport for water-free keeping aliveiThe weight is the accumulated influence weight of the key factor, and P is the comprehensive quality parameter of the aquatic product at the T moment of the waterless keep-alive transportation.
According to the embodiment of the invention, the shelf life quality calculation model of the aquatic product is established through the accumulated influence weight of the key factors, the change rate of the key factors and the prediction result of the dynamic quality prediction model.
In another embodiment, a control optimization process based on keep-alive transportation quality evaluation parameters is included, as shown in fig. 2, comprising the following steps:
selecting a keep-alive transportation chain with fixed keep-alive transportation time t (namely fixed transportation distance) to obtain the lowest marketing quality requirement P0. In the present embodiment, P0The method is different according to different varieties of aquatic products, and the mode for obtaining the specific numerical value of the lowest marketing quality is not particularly limited.
Is basically consistent with the dynamic prediction method of the quality in the waterless keep-alive transportation process, and the lowest marketing quality requirement P of the clearly selected aquatic products0Then, key physiological parameters and microenvironment key parameters of the specific keep-alive transportation time T are obtained, and the key physiological parameters and the microenvironment key parameters are substituted into a formula to calculate the waterless keep-alive transportation dynamic parameters of the aquatic product at the time T
Wherein,
for each key parameter signal characteristic sequence after normalization processing, Q is a data fusion matrix after normalization, wiThe weights are cumulatively influenced for each key parameter.
Substituting the parameters into the calculation of the relative attenuation speed under the fixed anhydrous keep-alive transportation time sequence
Wherein,
is a feature vector of a sensing signal of a keep-alive transportation key factor at the moment T,
the slope of the decay curve at time T.
Further, fixing the aquatic product obtained by the calculation under the anhydrous keep-alive transportation time sequence by vaAnd comparing the magnitude with a preset judgment value, wherein the preset judgment value is set according to the relative magnitude of the experimental determination and the decay rate. When v isaAnd (5) establishing that the physiological state of the aquatic product individual is stable at present, introducing a small amount of oxygen to adjust the respiration of the individual at present, and finishing the execution of a selected control cycle.
If v isaIf not more than 0.5 is not satisfied, the accumulated weight w of the quality influence at the moment of each key parameter T is calculated, the calculation formula is basically consistent with the accumulated weight of the key parameters in the quality dynamic equation,
at this time T1At this time, the selected time T isi'The transportation ending time is kept alive without water.
Further, after the quality influence cumulative weight w at the moment of obtaining each key parameter T is calculated, v is judgedaIf v is not less than 1aIf the value is more than or equal to 1, immediately regulating or resetting the first three factors with higher influence weight on the quality of the keep-alive transportation, wherein the regulation and optimization or the resetting are carried out on the key factors influencing the first three factors, and the result requires the detection v of the next cycle periodaMore than or equal to 1 is true; if v isaIf not more than 1, screening and regulating the key parameter X of the keep-alive transportation quality with the highest influence weightmost。
It should be noted that, after the above-mentioned regulation and control or reset of the key parameter is completed, at this moment, the aquatic product waterless keep-alive transportation microenvironment is already the optimal keep-alive transportation parameter interval, the detection of the next cycle period is entered while the survival rate of the keep-alive transportation is ensured until the keep-alive transportation condition is maintained to be always in the relatively optimal interval, and then the waterless keep-alive transportation of the whole aquatic product is judged and completed.
According to the market quality coupling prediction method flow chart under the specific aquatic product transportation condition, provided by the embodiment of the invention, the key parameters affecting the quality of keep-alive transportation and the key parameters affecting the quality of the keep-alive transportation are comprehensively considered to the control optimization method through the dynamic monitoring of the real-time state of the anhydrous keep-alive transportation of the aquatic product, so that the result is more comprehensive and accurate.
In another embodiment, the method comprises a flow of optimizing keep-alive transportation conditions based on different marketing quality intervals, and comprises the following steps:
step 1, determining the market quality requirement of aquatic products, namely the shelf life requirement; step 2, acquiring an optimal control parameter set of the key parameters of the waterless keep-alive transportation under different marketing quality requirements; and 3, inputting the acquired optimal control parameter set of the key parameters of the waterless keep-alive transportation under different marketing quality requirements into a key parameter vector set calculation formula of the actual keep-alive effect according to the required shelf life requirement, and acquiring a key vector set of the actual keep-alive effect.
Specifically, in the keep-alive transportation condition optimization method based on different marketing quality intervals, the most important is to make clear the marketing quality shelf life requirement and the corresponding optimal keep-alive transportation parameter interval, so that inversion and control optimization of the existing keep-alive transportation condition are realized, and the keep-alive transportation flow design of aquatic products with different marketing quality requirements is met.
According to the method provided by the embodiment of the invention, through formal design and statistical analysis of live-keeping transportation real-time quality prediction evaluation parameters and marketing quality coupling prediction of the aquatic products, good product control states of live-keeping transportation of the aquatic products under different consumption quality requirements (namely shelf life requirements) are reversely and reversely deduced, and further, a control optimization parameter set of the live-keeping transportation environment which can be actually realized is deduced.
Based on the content of the above embodiment, as an alternative embodiment, in the implementation of the present invention, step 1 specifies the requirement of the quality of the aquatic products on the market, i.e. the shelfThe period requirement is the most critical step of the embodiment method, namely the expansion of the subsequent method needs to be carried out based on the quality shelf life requirement; meanwhile, step 2 is based on the above three quality prediction and control optimization methods, and big data statistical analysis summarizes the optimal parameter set f (X) of the corresponding anhydrous keep-alive transportation condition of the aquatic product under different shelf livesai,Xbi,…,Xii) In order to realize the actual keep-alive effect key vector set in the step 3; the key for obtaining the key vector set of the actual keep-alive effect of the aquatic product in the step 3 is that the control correction factor lambda needs to be consideredi. Further, it should be noted that λiThe method is different according to different aquatic product varieties and different shelf life requirements. The value is finally determined by repeated statistical measurement of a keep-alive experiment and is an objective and stable parameter factor.
Fig. 3 is a device for dynamically predicting and controlling and optimizing the transport quality of an aquatic product without water conservation provided by an embodiment of the present invention, which includes: a first obtaining module 201, a second obtaining module 202, a first detecting module 203, and a second detecting module 204, wherein:
the first obtaining module 201 is configured to obtain key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic product, and establish a dynamic quality prediction model of the aquatic product according to the key parameter information and the corresponding moments.
And the second obtaining module 202 is configured to obtain a key factor corresponding to the quality of the aquatic product on the market, and establish a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model.
The first detection module 203 is used for detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the anhydrous keep-alive transportation of the aquatic product according to the optimization scheme.
And the second detection module 204 is used for detecting the shelf life quality requirement of the aquatic product and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
In one embodiment, the apparatus may further comprise:
and the normalizing module is used for constructing a key signal data set according to the key parameter information and normalizing the key signal data set to obtain a characteristic sequence and a data fusion matrix of the key parameter information.
And the calculating module is used for calculating the quality influence weight of the key parameter information at the corresponding moment.
And the model establishing module is used for establishing a dynamic aquatic product quality prediction model according to the characteristic sequence, the data fusion matrix and the quality influence weight of the key parameter information.
In one embodiment, the apparatus may further comprise:
and the second calculation module is used for calculating the accumulated influence weight of the key factors and acquiring the change rate of the key factors in the quality dynamic prediction model.
And the second model establishing module is used for establishing a shelf life quality calculation model of the aquatic product according to the accumulated influence weight of the key factors, the change rate of the key factors and the prediction result of the quality dynamic prediction model.
The specific limitations of the device for dynamically predicting and controlling and optimizing the transport quality of the aquatic product without water conservation can be referred to the limitations of the method for dynamically predicting and controlling and optimizing the transport quality of the aquatic product without water conservation, and are not described herein again. All modules in the aquatic product waterless keep-alive transportation quality dynamic prediction and control optimization device can be wholly or partially realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products, and establishing a dynamic quality prediction model of the aquatic products according to the key parameter information and the corresponding moments; obtaining a key factor corresponding to the quality of the aquatic product on the market, and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model; detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme; detecting the shelf life quality requirement of the aquatic product, and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 invention. 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.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products, and establishing a dynamic quality prediction model of the aquatic products according to the key parameter information and the corresponding moments; obtaining a key factor corresponding to the quality of the aquatic product on the market, and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model; detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme; detecting the shelf life quality requirement of the aquatic product, and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for dynamically predicting, controlling and optimizing the transport quality of an aquatic product without water keep-alive is characterized by comprising the following steps:
acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products, and establishing a dynamic quality prediction model of the aquatic products according to the key parameter information and the corresponding moments;
obtaining a key factor corresponding to the quality of the aquatic product on the market, and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model;
detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme;
detecting the shelf life quality requirement of the aquatic product, and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
2. The method for dynamically predicting, controlling and optimizing the quality of the aquatic product in the waterless keep-alive transportation according to claim 1, wherein the step of establishing a dynamic prediction model of the quality of the aquatic product according to the key parameter information and the corresponding moment comprises the following steps:
constructing a key signal data set according to the key parameter information, and normalizing the key signal data set to obtain a characteristic sequence and a data fusion matrix of the key parameter information;
calculating the quality influence weight of the key parameter information at the corresponding moment;
and establishing a dynamic aquatic product quality prediction model according to the characteristic sequence of the key parameter information, the data fusion matrix and the quality influence weight.
3. The method for dynamically predicting, controlling and optimizing the transport quality of aquatic products without water conservation according to claim 2, wherein the quality dynamic prediction model is calculated by the following equation:
wherein P is the quality of the aquatic product at the moment T of waterless keep-alive transportation, and Q is a data fusion matrix wiFor the quality impact weight of the key parameter information,
as a signature sequence of key parameter information, T1Initial sampling time, T, for waterless keep-alive transportationiFor the waterless keep-alive transportation sampling end time, QTData fusion matrix for waterless keep-alive transportation of T time, Ti、wiAnd
i in (1) is any time in the waterless keep-alive transportation process.
4. The method for dynamically predicting, controlling and optimizing the waterless keep-alive transportation quality of the aquatic product according to claim 1, wherein the step of establishing a shelf life quality calculation model of the aquatic product according to the key factor accumulation and the quality dynamic prediction model comprises the following steps:
calculating the accumulated influence weight of the key factors, and acquiring the change rate of the key factors in the quality dynamic prediction model;
and establishing a shelf life quality calculation model of the aquatic product according to the accumulated influence weight of the key factors, the change rate of the key factors and the prediction result of the quality dynamic prediction model.
5. The method for dynamically predicting, controlling and optimizing the transport quality of aquatic products without water conservation according to claim 4, wherein the shelf life quality calculation model is calculated by the following equation:
wherein, Y(x)Is the shelf life quality of the aquatic product, Delta XiIs TiRate of change of key factor, T, over timeiTime of transport for water-free keeping aliveiIs the accumulated influence weight of a key factor, P is the comprehensive quality parameter of the aquatic product at the T moment of the waterless keep-alive transportation, and Y is(x)X in (A) represents a key factor, Δ Xi、TiAnd muiI in (1) is an arbitrary time, and the parameter t represents the calculus of the rate of change of the key factor at an arbitrary time period.
6. The method for dynamically predicting and controlling and optimizing the transport quality of aquatic products without water conservation according to claim 1, further comprising:
the key parameter information comprises individual physiological parameters of aquatic products and parameters of the waterless keep-alive transportation environment;
the individual physiological parameters of the aquatic products comprise: superoxide dismutase concentration, catalase concentration, blood sugar concentration and cortisol concentration;
the waterless keep-alive transportation environment parameters comprise: temperature, oxygen concentration, carbon dioxide concentration, volatile basic nitrogen concentration.
7. The method for dynamically predicting, controlling and optimizing the transport quality of aquatic products without water conservation according to claim 1, wherein the key factors comprise:
temperature, oxygen concentration, carbon dioxide concentration, total number of microbial communities.
8. The utility model provides an aquatic products anhydrous keep-alive transportation quality dynamic prediction and control optimization device which characterized in that includes:
the first acquisition module is used for acquiring key parameter information and corresponding moments of the key parameter information in the waterless keep-alive transportation process of the aquatic products and establishing a dynamic prediction model of the quality of the aquatic products according to the key parameter information and the corresponding moments;
the second acquisition module is used for acquiring a key factor corresponding to the quality of the aquatic product on the market and establishing a shelf life quality calculation model of the aquatic product according to the key factor and the quality dynamic prediction model;
the first detection module is used for detecting the transportation quality requirement of the aquatic product, calculating the quality attenuation speed of the aquatic product according to the quality requirement and the quality dynamic prediction model, acquiring a corresponding optimization scheme according to the quality attenuation speed, and optimizing the waterless keep-alive transportation of the aquatic product according to the optimization scheme;
and the second detection module is used for detecting the shelf life quality requirement of the aquatic product and adjusting the key parameter information according to the shelf life quality requirement and the shelf life quality calculation model.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for dynamic prediction and control optimization of the transport quality of water-free alive aquatic products according to any one of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method for dynamic prediction and control optimization of transport quality of aquatic products without water conservation according to any one of claims 1 to 7.
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