CN116739458B - Cold chain food rapid distribution analysis system based on big data - Google Patents
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Abstract
The invention discloses a large data-based rapid cold chain food distribution analysis system, relates to the technical field of rapid distribution analysis, and solves the technical problem that in the prior art, a supply chain and a corresponding food type cannot be matched and analyzed in the transportation process of cold chain foods; the invention carries out cold chain food transportation between a receiving end and a delivery end to form a supply chain, a delivery analysis platform carries out real-time delivery analysis on the corresponding receiving end, delivery end and supply chain in the operation process of the supply chain, the delivery analysis platform carries out detection analysis on the supply chain in the operation process of the delivery end and delivery end, a matching analysis unit carries out matching analysis on the real-time supply chain and the corresponding supply food, the corresponding delivery cold chain food of the supply chain is marked as a supply object, the supply object and the corresponding supply chain form a supply group, and a supply chain low-efficiency signal, a matching low-efficiency signal and a matching high-efficiency signal are generated through the matching analysis.
Description
Technical Field
The invention relates to the technical field of rapid distribution analysis, in particular to a large-data-based rapid distribution analysis system for cold chain foods.
Background
The food cold chain is a special supply chain system for ensuring the quality safety of the food and preventing pollution after perishable food is purchased or caught from a production place, and after the product is processed, stored, transported, distributed and retail until the consumer is in the hand, all links are always in the low-temperature environment necessary for the product;
however, in the prior art, the matching analysis of the supply chain and the corresponding food types cannot be performed in the transportation process of the cold chain food, so that the matching accuracy of the supply chain and the cold chain food is reduced, and meanwhile, the real-time delivery of the supply chain cannot be detected, so that the condition of poor delivery efficiency of the supply chain is caused;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a rapid cold chain food distribution analysis system based on big data.
The aim of the invention can be achieved by the following technical scheme: the cold chain food rapid distribution analysis system based on big data comprises a receiving end, a delivery end and a distribution analysis platform, wherein a matching analysis unit, a distribution analysis unit, a supply chain analysis unit and a transportation analysis unit are arranged in the distribution analysis platform;
the method comprises the steps that cold chain food is conveyed between a receiving end and a delivery end to form a supply chain, a delivery analysis platform carries out real-time delivery analysis on the corresponding receiving end, delivery end and supply chain in the operation process of the supply chain, the delivery analysis platform carries out detection analysis on the supply chain in the operation process of the delivery end and the delivery end, a matching analysis unit carries out matching analysis on the real-time supply chain and the corresponding supply food, the corresponding delivery cold chain food of the supply chain is marked as a supply object, the supply object and the corresponding supply chain form a supply group, and a supply chain low-efficiency signal, a matching low-efficiency signal and a matching high-efficiency signal are generated through the matching analysis and are sent to an administrator terminal;
after matching analysis is completed between a supply object and a corresponding supply chain, a distribution analysis unit analyzes real-time distribution of the supply chain, acquires a distribution time period of the current supply chain, generates a distribution inefficiency signal, a distribution supervision signal and a distribution normal signal according to the distribution time period analysis, and sends the distribution inefficiency signal, the distribution supervision signal and the distribution normal signal to an administrator terminal;
the supply chain analysis unit detects the supply of the supply objects matched with the supply chain, and the transportation analysis unit carries out transportation analysis on the corresponding supply object distribution of the supply chain when the supply chain distribution route is qualified.
As a preferred embodiment of the invention, the matching analysis unit operates as follows:
acquiring the transfer time of the current supply flow of the supply chain and the waiting time of the transfer of the adjacent middle turning points; acquiring the fresh-keeping time length of a supply object corresponding to a supply chain and the maximum delay time length of cold chain control of the supply object;
obtaining a matching analysis coefficient of a supply chain and a supply object of the distribution analysis platform supervision through analysis;
matching analysis coefficients of the distribution analysis platform supervision supply chain and the supply object are compared with a matching analysis coefficient threshold range.
As a preferred embodiment of the present invention, if the matching analysis coefficient of the supply chain and the supply object exceeds the matching analysis coefficient threshold range, the distribution analysis platform determines that the current supply chain and the supply object are not matched, generates a supply chain inefficiency signal and sends the supply chain inefficiency signal to the manager terminal;
if the matching analysis coefficient of the supply chain and the supply object of the distribution analysis platform is not beyond the threshold range of the matching analysis coefficient, judging that the current supply chain and the supply object are not qualified in matching, generating a matching low-efficiency signal and sending the matching low-efficiency signal to the manager terminal; and if the matching analysis coefficients of the supply chain and the supply object are in the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are matched and qualified, generating a matching high-efficiency signal and transmitting the matching high-efficiency signal to the manager terminal.
As a preferred embodiment of the present invention, the operation of the distribution analysis unit is as follows:
and obtaining the maximum distribution volume ratio difference value in the current supply chain corresponding to each receiving end and the receiving end corresponding stroke volume ratio except the vending end of the maximum distribution volume in the distribution time period, and comparing the maximum distribution volume ratio difference value in the current supply chain corresponding to each receiving end and the receiving end corresponding stroke volume ratio except the vending end of the maximum distribution volume in the distribution time period with a maximum distribution volume ratio threshold and a stroke volume ratio threshold respectively.
As a preferred embodiment of the present invention, if the maximum delivery amount duty ratio difference in the current supply chain corresponding to each receiving end exceeds the maximum delivery amount duty ratio threshold in the delivery time period, and the corresponding travel amount of the receiving end except the vending end of the maximum delivery amount exceeds the travel amount duty ratio threshold, a delivery inefficiency signal is generated and sent to the manager terminal;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period exceeds the maximum distribution amount ratio threshold value, or the corresponding travel amount of the receiving end except the vending end of the maximum distribution amount exceeds the travel amount ratio threshold value, generating a distribution supervision signal and sending the distribution supervision signal to an administrator terminal;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period does not exceed the maximum distribution amount ratio threshold value and the corresponding travel amount of the receiving ends except the vending end of the maximum distribution amount does not exceed the travel amount ratio threshold value, generating a distribution normal signal and sending the distribution normal signal to the manager terminal.
As a preferred embodiment of the present invention, the supply chain analysis unit operates as follows:
the method comprises the steps of obtaining the maximum deviation time length between actual delivery time and expected delivery time of the supply objects in a supply chain and the frequency of the opposite delivery sequence and time arrangement sequence of the supply objects at different delivery time, and comparing the maximum deviation time length between actual delivery time and expected delivery time of the supply objects in the supply chain and the frequency of the opposite delivery sequence and time arrangement sequence of the supply objects at different delivery time with the maximum deviation time length threshold and the opposite delivery sequence frequency threshold respectively.
As a preferred embodiment of the present invention, if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply object in the supply chain exceeds the maximum deviation time threshold, or the frequency of the opposite delivery order and the opposite time arrangement order of the supply object at the different delivery time exceeds the opposite delivery order frequency threshold, a supply chain set risk signal is generated and sent to the manager terminal;
if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply objects in the supply chain does not exceed the maximum deviation time threshold, and the frequency of the opposite delivery sequence of the supply objects at different delivery times and the opposite time sequence does not exceed the frequency threshold of the opposite delivery sequence, generating a supply chain setting safety signal and transmitting the supply chain setting safety signal to the manager terminal.
As a preferred embodiment of the invention, the transport analysis unit operates as follows:
the method comprises the steps of obtaining the maximum deviation value of the environmental information of the supply object and the preset environmental information in the transportation process of the supply chain and the numerical floating frequency when the environmental information of the supply object is controlled, and comparing the maximum deviation value of the environmental information of the supply object and the preset environmental information in the transportation process of the supply chain and the numerical floating frequency when the environmental information of the supply object is controlled with a maximum deviation value threshold and a numerical floating frequency threshold respectively.
As a preferred implementation mode of the invention, if the maximum deviation value of the environmental information of the supply object and the preset environmental information exceeds the maximum deviation value threshold value in the transportation process of the supply chain or the numerical floating frequency exceeds the numerical floating frequency threshold value in the management and control of the environmental information of the supply object, a transportation risk signal is generated and sent to an administrator terminal;
if the maximum deviation value of the environmental information of the supply object and the preset environmental information in the transportation process of the supply chain does not exceed the maximum deviation value threshold value and the numerical floating frequency of the environmental information of the supply object does not exceed the numerical floating frequency threshold value, a transportation safety signal is generated and sent to the manager terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the matching analysis is carried out on the real-time supply chain and the corresponding supply food, and whether the setting of each type of food and the corresponding supply chain is reasonable in the real-time supply operation process is judged, so that the working efficiency of the real-time supply chain is ensured, the qualification of the transportation of the food in the cold chain is ensured, and the influence on the food quality of the cold chain caused by the unreasonable matching of the supply chain is prevented; and analyzing the real-time delivery of the supply chain, and judging whether the delivery of the supply chain which is matched is planned to be qualified or not, so that the delivery efficiency of the supply object is ensured to meet the requirement, and the supply of the supply object is prevented from being blocked due to the disqualification of the delivery, and the quality of the product of the supply object is prevented from being influenced.
2. According to the invention, supply detection is carried out on the supply objects matched with the supply chain, and whether the operation of the supply objects corresponding to the supply chain is qualified is judged, so that the transportation efficiency of all the supply objects in the supply chain can meet the actual requirements, and the rapid distribution supervision efficiency of the supply chain is improved; and carrying out transportation analysis on the delivery of the supply object corresponding to the supply chain, judging whether the real-time delivery environment of the supply object in the transportation process is qualified, and preventing the quality of the supply object from being influenced due to the fact that the environment of the supply object in the delivery process does not meet the requirements of cold chain foods, so that the transportation efficiency of the supply chain is reduced.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic block diagram of a delivery analysis platform according to the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description of the technical solutions of the present invention will be made in detail, but it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a rapid cold chain food delivery analysis system based on big data includes a receiving end, a delivery end and a delivery analysis platform, wherein cold chain food is transported between the receiving end and the delivery end to form a supply chain, and the delivery analysis platform carries out real-time delivery analysis on the corresponding receiving end, delivery end and supply chain in the operation process of the supply chain; the conveying work efficiency of the supply chain is ensured;
referring to fig. 2, a matching analysis unit, a delivery analysis unit, a supply chain analysis unit and a transportation analysis unit are arranged in the delivery analysis platform, and each module in the delivery analysis platform carries out corresponding analysis and detection on a receiving end, a delivery end and a supply chain, so that the normal operation of the supply chain is ensured, and the operation efficiency of the delivery end and the delivery end is ensured; the delivery end is expressed as a middle point of a port, a warehouse and the like, and the receiving end is expressed as a receiving point of individualization, a company and the like;
in the operation process of the delivery end and the vending end, the delivery analysis platform carries out detection analysis on the food, the matching analysis unit carries out matching analysis on the real-time supply chain and the corresponding supply food, and whether the setting of each type of food and the corresponding supply chain is reasonable in the real-time supply operation process is judged, so that the working efficiency of the real-time supply chain is ensured, the qualification of the transportation of the food in the cold chain can be ensured, and the influence on the quality of the food in the cold chain caused by unreasonable matching of the supply chain is prevented;
marking corresponding dispensing cold chain foods of a supply chain as a supply object, constructing a supply group by the supply object and the corresponding supply chain, acquiring the transfer time of the current supply flow of the supply chain and the waiting time of the transfer of the adjacent middle point, and marking the transfer time of the current supply flow of the supply chain and the waiting time of the transfer of the adjacent middle point as ZZH and DDH respectively; acquiring the fresh-keeping time length of a supply object corresponding to a supply chain and the maximum delay time length of supply object cold chain control, and marking the fresh-keeping time length of the supply object corresponding to the supply chain and the maximum delay time length of the supply object cold chain control as BXS and YCS respectively;
by the formula:acquiring a matching analysis coefficient G of a supply chain and a supply object of a distribution analysis platform, wherein f1, f2, f3 and f4 are respectively corresponding to preset proportional coefficients, and e is a natural constant;
comparing the matching analysis coefficient G of the distribution analysis platform supervision supply chain and the supply object with a matching analysis coefficient threshold range:
if the matching analysis coefficient G of the supply chain and the supply object monitored by the distribution analysis platform exceeds the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are not matched, generating a supply chain low-efficiency signal and sending the supply chain low-efficiency signal to an administrator terminal, and after the administrator terminal receives the supply chain low-efficiency signal, replacing the supply chain corresponding to the supply object;
if the matching analysis coefficient G of the supply chain and the supply object is not exceeded by the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are not qualified in matching, generating a matching low-efficiency signal and sending the matching low-efficiency signal to an administrator terminal, and after the administrator terminal receives the matching low-efficiency signal, replacing the supply object by the corresponding supply chain;
if the matching analysis coefficient G of the supply chain and the supply object is in the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are matched and qualified, generating a matching high-efficiency signal and transmitting the matching high-efficiency signal to the manager terminal;
after the matching analysis of the supply object and the corresponding supply chain is completed, the distribution analysis unit analyzes the real-time distribution of the supply chain and judges whether the conveying of the supply chain which is completed and matched is planned to be qualified or not, so that the conveying efficiency of the supply object is ensured to meet the requirement, and the supply of the supply object is prevented from being blocked due to the unqualified conveying of the supply object, and the quality of the product of the supply object is prevented from being influenced;
the method comprises the steps of obtaining a distribution time period of a current supply chain, obtaining a maximum distribution amount ratio difference value in each receiving end corresponding to the current supply chain and a receiving end corresponding travel amount ratio except a maximum distribution amount vending end in the distribution time period, and comparing the maximum distribution amount ratio difference value in each receiving end corresponding to the current supply chain and the receiving end corresponding travel amount ratio except the maximum distribution amount vending end in the distribution time period with a maximum distribution amount ratio threshold and a travel amount ratio threshold respectively:
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period exceeds the maximum distribution amount ratio threshold value and the receiving end corresponding to the receiving end except the vending end of the maximum distribution amount exceeds the travel amount ratio threshold value, judging that the distribution analysis of the current supply chain is low-efficiency, generating a distribution low-efficiency signal and sending the distribution low-efficiency signal to an administrator terminal, and controlling the distribution amount ratio difference value in the corresponding supply chain after the administrator terminal receives the distribution low-efficiency signal;
if the maximum distribution amount ratio difference value in the receiving ends corresponding to the current supply chain in the distribution time period exceeds the maximum distribution amount ratio threshold value, or the receiving end corresponding to the receiving end except the vending end of the maximum distribution amount exceeds the travel amount ratio threshold value, judging that the distribution analysis of the current supply chain has risks, generating a distribution supervision signal and sending the distribution supervision signal to an administrator terminal, and after receiving the distribution supervision signal, the administrator terminal supervises the distribution of the corresponding supply chain and regulates the supply chain of the corresponding type of supply pair when the delay risk exists in the transportation of the supply object;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period does not exceed the maximum distribution amount ratio threshold value and the corresponding travel amount of the receiving ends except the vending end of the maximum distribution amount does not exceed the travel amount ratio threshold value, judging that the distribution analysis of the current supply chain is normal, generating a distribution normal signal and sending the distribution normal signal to an administrator terminal;
the supply chain analysis unit detects the supply of the supply objects matched with the supply chain and judges whether the operation of the supply objects corresponding to the supply chain is qualified, so that the transportation efficiency of all the supply objects in the supply chain can meet the actual requirements, and the rapid distribution supervision efficiency of the supply chain is improved;
obtaining the maximum deviation time length between the actual delivery time and the expected delivery time of the supply objects in the supply chain and the frequency of the opposite delivery sequence and the time arrangement sequence of the supply objects at different delivery times, and comparing the maximum deviation time length between the actual delivery time and the expected delivery time of the supply objects in the supply chain and the frequency of the opposite delivery sequence and the opposite frequency of the opposite delivery sequence of the supply objects at different delivery times with a maximum deviation time length threshold and a delivery sequence opposite frequency threshold respectively:
if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply objects in the supply chain exceeds the maximum deviation time threshold, or the frequency of the opposite delivery sequence and the opposite frequency threshold of the time arrangement sequence of the supply objects at different delivery times exceeds the delivery sequence opposite frequency threshold, judging that the supply chain analysis is abnormal, generating a supply chain set risk signal and sending the supply chain set risk signal to an administrator terminal, and after receiving the supply chain set risk signal, the administrator terminal controls the delivery route and the real-time running route of the supply objects corresponding to the supply chain to ensure that the preset delivery route is consistent with the real-time running route;
if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply objects in the supply chain does not exceed the maximum deviation time threshold, and the frequency of the opposite delivery sequence of the supply objects at different delivery times and the opposite time sequence does not exceed the frequency threshold of the opposite delivery sequence, judging that the supply chain analysis is normal, generating a supply chain setting safety signal and transmitting the supply chain setting safety signal to an administrator terminal;
when the supply chain delivery route is qualified, the transportation analysis unit carries out transportation analysis on delivery of the supply chain corresponding to the supply object, judges whether the real-time delivery environment of the supply object in the transportation process is qualified, and prevents the quality of the supply object from being influenced due to the fact that the environment of the supply object in the delivery process is not in accordance with the cold chain food requirement, so that the transportation efficiency of the supply chain is reduced;
the method comprises the steps of obtaining the maximum deviation value of the environmental information of the supply object and the preset environmental information and the numerical floating frequency when the environmental information of the supply object is controlled in the supply chain transportation process, and comparing the maximum deviation value of the environmental information of the supply object and the preset environmental information and the numerical floating frequency when the environmental information of the supply object is controlled in the supply chain transportation process with a maximum deviation value threshold and a numerical floating frequency threshold respectively: the environment information is expressed as parameters such as environment temperature, humidity, ventilation quantity and the like;
if the maximum deviation value of the environmental information of the supply object and the preset environmental information exceeds a maximum deviation value threshold value in the transportation process of the supply chain or the numerical floating frequency exceeds a numerical floating frequency threshold value in the management and control of the environmental information of the supply object, judging that the transportation analysis of the supply chain is at risk, generating a transportation risk signal and sending the transportation risk signal to an administrator terminal, and after receiving the transportation risk signal, detecting the performance of the environment management and control equipment corresponding to the supply chain and managing and controlling the real-time environmental information by the administrator terminal;
if the maximum deviation value of the environmental information of the supply object and the preset environmental information in the transportation process of the supply chain does not exceed the maximum deviation value threshold value and the numerical floating frequency of the environmental information of the supply object does not exceed the numerical floating frequency threshold value, judging that the transportation analysis of the supply chain is not at risk, generating a transportation safety signal and sending the transportation safety signal to an administrator terminal.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the system is used, cold chain food is conveyed between a receiving end and a delivery end to form a supply chain, a delivery analysis platform carries out real-time delivery analysis on the corresponding receiving end, delivery end and supply chain in the operation process of the supply chain, the delivery analysis platform carries out detection analysis on the supply chain in the operation process of the delivery end and delivery end, a matching analysis unit carries out matching analysis on the real-time supply chain and the corresponding supply food, the corresponding delivery cold chain food of the supply chain is marked as a supply object, the supply object and the corresponding supply chain form a supply group, and a supply chain low-efficiency signal, a matching low-efficiency signal and a matching high-efficiency signal are generated through the matching analysis and are sent to an administrator terminal; after matching analysis is completed between a supply object and a corresponding supply chain, a distribution analysis unit analyzes real-time distribution of the supply chain, acquires a distribution time period of the current supply chain, generates a distribution inefficiency signal, a distribution supervision signal and a distribution normal signal according to the distribution time period analysis, and sends the distribution inefficiency signal, the distribution supervision signal and the distribution normal signal to an administrator terminal; the supply chain analysis unit detects the supply of the supply objects matched with the supply chain, and the transportation analysis unit carries out transportation analysis on the corresponding supply object distribution of the supply chain when the supply chain distribution route is qualified.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. The cold chain food rapid distribution analysis system based on big data is characterized by comprising a receiving end, a delivery end and a distribution analysis platform, wherein a matching analysis unit, a distribution analysis unit, a supply chain analysis unit and a transportation analysis unit are arranged in the distribution analysis platform;
the method comprises the steps that cold chain food is conveyed between a receiving end and a delivery end to form a supply chain, a delivery analysis platform carries out real-time delivery analysis on the corresponding receiving end, delivery end and supply chain in the operation process of the supply chain, the delivery analysis platform carries out detection analysis on the supply chain in the operation process of the delivery end and the delivery end, a matching analysis unit carries out matching analysis on the real-time supply chain and the corresponding supply food, the corresponding delivery cold chain food of the supply chain is marked as a supply object, the supply object and the corresponding supply chain form a supply group, and a supply chain low-efficiency signal, a matching low-efficiency signal and a matching high-efficiency signal are generated through the matching analysis and are sent to an administrator terminal;
after matching analysis is completed between a supply object and a corresponding supply chain, a distribution analysis unit analyzes real-time distribution of the supply chain, acquires a distribution time period of the current supply chain, generates a distribution inefficiency signal, a distribution supervision signal and a distribution normal signal according to the distribution time period analysis, and sends the distribution inefficiency signal, the distribution supervision signal and the distribution normal signal to an administrator terminal;
the supply chain analysis unit is used for carrying out supply detection on the supply objects matched with the supply chain, and the transportation analysis unit is used for carrying out transportation analysis on the corresponding supply object distribution of the supply chain when the supply chain distribution route is qualified;
the matching analysis unit operates as follows:
acquiring the transfer time of the current supply flow of the supply chain and the waiting time of the transfer of the adjacent middle point, and marking the transfer time of the current supply flow of the supply chain and the waiting time of the transfer of the adjacent middle point as ZH and DDH respectively; acquiring the fresh-keeping time length of a supply object corresponding to a supply chain and the maximum delay time length of supply object cold chain control, and marking the fresh-keeping time length of the supply object corresponding to the supply chain and the maximum delay time length of the supply object cold chain control as BXS and YCS respectively;
by the formulaAcquiring a matching analysis coefficient G of a supply chain and a supply object of a distribution analysis platform, wherein f1, f2, f3 and f4 are respectively corresponding to preset proportional coefficients, and e is a natural constant;
comparing the matching analysis coefficient G of the distribution analysis platform supervision supply chain and the supply object with a matching analysis coefficient threshold range;
if the matching analysis coefficient of the supply chain and the supply object monitored by the distribution analysis platform exceeds the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are not matched, generating a supply chain low-efficiency signal and sending the supply chain low-efficiency signal to an administrator terminal;
if the matching analysis coefficient of the supply chain and the supply object of the distribution analysis platform is not beyond the threshold range of the matching analysis coefficient, judging that the current supply chain and the supply object are not qualified in matching, generating a matching low-efficiency signal and sending the matching low-efficiency signal to the manager terminal; if the matching analysis coefficients of the supply chain and the supply object are in the matching analysis coefficient threshold range, judging that the current supply chain and the supply object are qualified in matching, generating a matching high-efficiency signal and sending the matching high-efficiency signal to the manager terminal;
the operation process of the distribution analysis unit is as follows:
obtaining a maximum delivery volume ratio difference value in each receiving end corresponding to a current supply chain and a receiving end corresponding to a travel volume ratio except a maximum delivery volume vending end in a delivery time period, and comparing the maximum delivery volume ratio difference value in each receiving end corresponding to the current supply chain and the receiving end corresponding to the travel volume ratio except the maximum delivery volume vending end in the delivery time period with a maximum delivery volume ratio threshold and a travel volume ratio threshold respectively;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period exceeds the maximum distribution amount ratio threshold value, and the corresponding travel amount of the receiving ends except the vending end of the maximum distribution amount exceeds the travel amount ratio threshold value, generating a distribution inefficiency signal and sending the distribution inefficiency signal to an administrator terminal;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period exceeds the maximum distribution amount ratio threshold value, or the corresponding travel amount of the receiving end except the vending end of the maximum distribution amount exceeds the travel amount ratio threshold value, generating a distribution supervision signal and sending the distribution supervision signal to an administrator terminal;
if the maximum distribution amount ratio difference value in the current supply chain corresponding to each receiving end in the distribution time period does not exceed the maximum distribution amount ratio threshold value and the corresponding travel amount of the receiving ends except the vending end of the maximum distribution amount does not exceed the travel amount ratio threshold value, generating a distribution normal signal and sending the distribution normal signal to the manager terminal;
the supply chain analysis unit operates as follows:
obtaining the maximum deviation time length between the actual delivery time and the expected delivery time of the supply objects in the supply chain and the frequency of the opposite delivery sequence and the time arrangement sequence of the supply objects at different delivery times, and comparing the maximum deviation time length between the actual delivery time and the expected delivery time of the supply objects in the supply chain and the frequency of the opposite delivery sequence and the opposite frequency of the opposite delivery sequence of the supply objects at different delivery times with a maximum deviation time length threshold and a delivery sequence opposite frequency threshold respectively;
if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply objects in the supply chain exceeds the maximum deviation time threshold, or the frequency of the opposite delivery sequence of the supply objects at different delivery times relative to the time sequence exceeds the opposite frequency threshold of the delivery sequence, generating a supply chain set risk signal and transmitting the supply chain set risk signal to an administrator terminal;
if the maximum deviation time between the actual delivery time and the predicted delivery time of the supply objects in the supply chain does not exceed the maximum deviation time threshold, and the frequency of the opposite delivery sequence of the supply objects at different delivery times and the opposite time sequence does not exceed the frequency threshold of the opposite delivery sequence, generating a supply chain setting safety signal and transmitting the supply chain setting safety signal to the manager terminal;
the transport analysis unit operates as follows:
obtaining the maximum deviation value of the environmental information of the supply object and the preset environmental information and the numerical floating frequency when the environmental information of the supply object is controlled in the transportation process of the supply chain, and comparing the maximum deviation value of the environmental information of the supply object and the preset environmental information and the numerical floating frequency when the environmental information of the supply object is controlled in the transportation process of the supply chain with a maximum deviation value threshold and a numerical floating frequency threshold respectively;
if the maximum deviation value of the environmental information of the supply object and the preset environmental information exceeds a maximum deviation value threshold value in the transportation process of the supply chain or the numerical floating frequency exceeds a numerical floating frequency threshold value in the control of the environmental information of the supply object, a transportation risk signal is generated and sent to an administrator terminal;
if the maximum deviation value of the environmental information of the supply object and the preset environmental information in the transportation process of the supply chain does not exceed the maximum deviation value threshold value and the numerical floating frequency of the environmental information of the supply object does not exceed the numerical floating frequency threshold value, a transportation safety signal is generated and sent to the manager terminal.
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