Freight return data processing method and system based on Internet of Things

Abstract

The invention discloses a freight return data processing method and system based on the Internet of Things, and relates to the technical field of electric digital data processing. The freight return data processing method based on the Internet of Things comprises the following steps: evaluating the influence of transportation quality; recording efficiency evaluation; and evaluating data transmission. According to the method, the unqualified quality influence coefficient and the qualified quality influence coefficient are obtained through the food return transportation related data, then the entry efficiency evaluation coefficient is obtained based on the unqualified quality influence coefficient and the food return entry related data, and whether data entry efficiency adjustment is performed or not is judged; and finally, combining the station transmission data and the qualification entry efficiency evaluation coefficient to obtain a data transmission evaluation coefficient, and judging whether the data transmission evaluation coefficient meets a transmission qualification condition or not, thereby achieving the effect of improving the accuracy of food return data acquisition, and solving the problem of low accuracy of food return data acquisition in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a freight return data processing method and system based on the Internet of Things. Background Art

[0002] When consumers buy goods, they not only pay attention to the quality and price of the goods themselves, but also pay more and more attention to the quality of after-sales service. Especially in the field of food, the problem of spoiled food has become increasingly prominent and has become a focus of common concern for consumers and enterprises. Returns, as an important part of after-sales service, are particularly important in the food industry. Returns caused by spoiled food not only increase the return costs of enterprises, but also seriously affect consumers' purchasing experience and the market competitiveness of enterprises. Therefore, enterprises need to accurately calculate the cost of freight returns, especially the return costs of spoiled food, in order to optimize the return process, improve the efficiency of returns, and thus improve consumer satisfaction. Supply chain management is an important part of enterprise operations, which involves procurement, production, logistics and other links. In the food supply chain, returns are part of the reverse process, and their cost control and management are of great significance to improving the overall efficiency of the supply chain. By calculating the cost of freight returns, enterprises can promptly discover problems in the supply chain, such as spoilage caused by substandard raw material quality and improper temperature control during logistics distribution. These problems not only lead to the production of spoiled food, but also increase return costs and logistics costs, and reduce the efficiency of the supply chain.

[0003] The existing IoT-based freight return data processing methods mainly classify and calculate various costs according to the specific circumstances of the return and the accounting elements. For example, logistics costs are included in sales expenses, labor costs and management costs are included in management expenses, and loss costs are included in non-operating expenses. According to the accounting results, the relevant accounting records are adjusted.

[0004] For example, the invention patent announcement with announcement number: CN111292149B announces a method and device for generating return processing information, including: receiving return application information, determining the corresponding order information according to the return application information, and determining the cost value of the return according to the order information; the return application information at least includes return order information and the transaction price of the goods applied for return; according to the return order information, determining the residual value of the goods applied for return; based on the preset constraints, based on the decision dimension data of return processing, generating processing information of the return application information; the decision dimension data at least includes: the cost value of the return, the residual value of the goods and the transaction price.

[0005] For example, the invention patent announcement with announcement number: CN111221889B discloses a CASS retail data integration service platform, which includes: a retail merchant or website and a CASS service platform. A connection is established between the CASS service platform and the retail merchant or website. The CASS service platform needs to log in to the retail merchant or website through the retail website data automatic acquisition program, and then identify the acquired data through the retail merchant data automatic identification program, and finally store the acquired data in the original data database. The original data database needs to rely on the retail website data automatic conversion device and the conversion data checking program to realize data conversion.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, errors may exist in various links of the food product return process, resulting in inaccurate data sources, which in turn affects the accuracy of data collection, causing low efficiency in data collection on e-commerce platforms and low accuracy in food return data collection. Summary of the invention

[0007] The embodiments of the present application provide a method and system for processing freight return data based on the Internet of Things, thereby solving the problem of low accuracy in collecting food return data in the prior art and improving the accuracy of collecting food return data.

[0008] The embodiment of the present application provides a method for processing freight return data based on the Internet of Things, comprising the following steps: S1, obtaining a transportation quality influence coefficient based on the acquired food return transportation related data, and performing a transportation quality assessment based on the transportation quality influence coefficient to obtain an unqualified quality influence coefficient and a qualified quality influence coefficient, wherein the transportation quality influence coefficient is used to assess the impact of the transportation quality of the returned food on the conformity of the return data; S2, obtaining an entry efficiency assessment coefficient based on the unqualified quality influence coefficient and the acquired food return entry related data and judging whether to perform a data entry efficiency adjustment, wherein the entry efficiency assessment coefficient is used to assess the entry of the return information of the returned food; S3, obtaining a data transmission assessment coefficient in combination with the acquired site transmission data and the qualified entry efficiency assessment coefficient, judging whether to perform a transmission adjustment based on the data transmission assessment coefficient, wherein the data transmission assessment coefficient is used to assess the transmission of the entry information of the returned food.

[0009] Furthermore, the food return transportation-related data include transportation temperature, the number of damaged foods during transportation, the total transportation time and the total number of foods delivered during transportation; the food return entry-related data include the return data update rate, the input data volume and the input time; the site transmission data include the number of sites, the number of return data processing paths and the delivery time; the food return transportation-related data are obtained through transportation measuring equipment; the transportation measuring equipment includes a thermometer, a counter and a timer.

[0010] Furthermore, the specific process of obtaining the transportation quality influence coefficient based on the obtained food return transportation related data is as follows: combining the transportation temperature and the preset first collection weight obtained from the database to obtain the average transportation temperature influence value; combining the number of damaged food during transportation, the total number of transported food delivered and the preset second collection weight obtained from the database to obtain the damage rate influence value; combining the total transportation time and the preset third collection weight obtained from the database to obtain the transportation time influence value; performing a ratio operation on the average transportation temperature influence value and the preset average transportation temperature threshold obtained from the database to obtain the transportation temperature interference ratio; performing a ratio operation on the damage rate influence value and the preset average food damage rate threshold obtained from the database to obtain the transportation damage interference ratio; performing a ratio operation on the transportation time influence value and the preset average transportation time threshold obtained from the database to obtain the transportation time interference ratio; combining the transportation temperature interference ratio, the transportation damage interference ratio and the transportation time interference ratio to obtain the transportation quality influence coefficient.

[0011] Furthermore, the specific process of conducting transport quality assessment based on the transport quality impact coefficient to obtain the unqualified quality impact coefficient and the qualified quality impact coefficient is as follows: determine whether the transport quality impact coefficient meets the quality impact condition; if so, mark the corresponding transport quality impact coefficient as an unqualified quality impact coefficient; if not, mark the corresponding transport quality impact coefficient as a qualified quality impact coefficient; the quality impact condition indicates that the transport quality impact coefficient is not lower than the preset transport impact threshold obtained from the database.

[0012] Furthermore, the restriction expression of the transport quality influence coefficient is as follows: ; In the formula, It represents the transportation quality impact coefficient of the returned food at the xth preset transportation station, , x represents the number of the preset transportation station, y represents the total number of preset transportation stations, Indicates the average transportation temperature impact value of returned food. Indicates the impact value of the transportation time of returned food. It represents the damage rate impact value of returned food at the xth preset transportation station. Indicates the preset average transport temperature threshold. represents the preset average food damage rate threshold, represents the preset average transportation time threshold, and e represents a natural constant.

[0013] Furthermore, the specific acquisition process of the input efficiency evaluation coefficient is as follows: the average input efficiency impact value is obtained by calculating the mean of the ratio of the input data volume and the input time; the average update rate influence value is obtained by performing the mean operation on the return data update rate; the input efficiency compliance ratio is obtained by the average input efficiency impact value and the preset average input efficiency threshold obtained from the database; the update rate compliance ratio is obtained by the average update rate impact value and the preset average data update rate threshold obtained from the database; the input efficiency evaluation coefficient is obtained by combining the input efficiency compliance ratio and the unqualified quality impact coefficient.

[0014] Furthermore, the specific process of determining whether to adjust the data entry efficiency is as follows: Step one, perform pre-filling processing. When the monitored entry efficiency evaluation coefficient meets the entry qualification conditions, stop adjusting the data entry efficiency; otherwise, execute step two; Step two, perform data identification processing. When the monitored entry efficiency evaluation coefficient meets the entry qualification conditions, stop adjusting the data entry efficiency; otherwise, send a warning prompt; the entry qualification conditions indicate that the entry efficiency evaluation coefficient is not lower than the preset entry efficiency minimum value obtained from the database.

[0015] Furthermore, the specific process of combining the acquired site transmission data and the qualified entry efficiency evaluation coefficient to obtain the data transfer evaluation coefficient is as follows: obtaining the transfer complexity impact value by multiplying the number of sites and the number of return data processing paths; obtaining the transfer complexity compliance ratio by performing a ratio operation between the transfer complexity impact value and a preset average transfer complexity threshold obtained from a preset database; and obtaining the data transfer evaluation coefficient by combining the transfer complexity compliance ratio and the qualified entry efficiency evaluation coefficient.

[0016] Furthermore, the specific process of the transmission adjustment is as follows: the first step is to send a prompt to the preset personnel to prioritize the urgency of information transmission. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise the second step is executed; the second step is to perform transmission synchronization processing. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise a warning prompt is sent; the transmission qualification conditions indicate that the data transmission evaluation coefficient is not higher than the preset data transmission complexity minimum value obtained from the database.

[0017] The embodiment of the present application provides a freight return data processing system based on the Internet of Things, including a transportation quality impact assessment module, an input efficiency assessment module and a data transmission assessment module: wherein the transportation quality impact assessment module is used to obtain a transportation quality impact coefficient based on the acquired food return transportation related data, and to perform transportation quality assessment based on the transportation quality impact coefficient to obtain an unqualified quality impact coefficient and a qualified quality impact coefficient, and the transportation quality impact coefficient is used to evaluate the impact of the transportation quality of the returned food on the conformity of the return data; the input efficiency assessment module is used to obtain an input efficiency assessment coefficient based on the unqualified quality impact coefficient and the acquired food return input related data and to determine whether to adjust the data input efficiency, and the input efficiency assessment coefficient is used to evaluate the input status of the return information of the returned food; the data transmission assessment module is used to obtain a data transmission assessment coefficient in combination with the acquired site transmission data and the qualified input efficiency assessment coefficient, and to determine whether to perform transmission adjustment based on the data transmission assessment coefficient, and the data transmission assessment coefficient is used to evaluate the transmission status of the input information of the returned food.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The unqualified quality impact coefficient and the qualified quality impact coefficient are obtained through the food return transportation related data, and then the input efficiency evaluation coefficient is obtained based on the unqualified quality impact coefficient and the food return input related data, and it is judged whether to adjust the data entry efficiency. Finally, the data transmission evaluation coefficient is obtained by combining the site transmission data and the qualified input efficiency evaluation coefficient, and it is judged whether the qualified transmission conditions are met, thereby realizing the accurate quantification of the impact of transportation quality on the conformity of return data, and then realizing the improvement of the accuracy of food return data collection, and effectively solving the problem of low accuracy of food return data collection in the prior art.

[0019] 2. The transportation quality influence coefficient is obtained by combining the transportation temperature interference ratio, the transportation damage interference ratio and the transportation time interference ratio, and then the input efficiency evaluation coefficient is obtained by combining the input efficiency compliance ratio and the unqualified quality influence coefficient. Finally, the data transfer evaluation coefficient is obtained by combining the transfer complexity compliance ratio and the qualified input efficiency evaluation coefficient, thereby realizing real-time monitoring of data collection and improving the reliability of evaluating the compliance of return data.

[0020] 3. By judging whether the transport quality impact coefficient meets the quality impact conditions, and marking the transport quality impact coefficient that meets the quality impact conditions as an unqualified quality impact coefficient, and then marking the transport quality impact coefficient that does not meet the quality impact conditions as a qualified quality impact coefficient, the impact of the transport quality of returned food on the compliance of return data is accurately refined, thereby achieving the quantitative accuracy of evaluating the impact of the transport quality of returned food on the compliance of return data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of a method for processing freight return data based on the Internet of Things provided in an embodiment of the present application; Figure 2 A statistical diagram showing the change in the return data update rate-average update rate impact value provided in an embodiment of the present application; Figure 3 A structural diagram of a freight return data processing system based on the Internet of Things provided in an embodiment of the present application; Figure 4 An overall flow chart provided for an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiment of the present application solves the problem of low accuracy in food return data collection in the prior art by providing a freight return data processing method and system based on the Internet of Things. The method obtains a transportation quality influence coefficient based on the acquired food return transportation related data, performs transportation quality assessment based on the transportation quality influence coefficient to obtain an unqualified quality influence coefficient and a qualified quality influence coefficient, then obtains an entry efficiency assessment coefficient based on the unqualified quality influence coefficient and the acquired food return entry related data, and determines whether to adjust the data entry efficiency. Finally, the data transfer assessment coefficient is obtained by combining the acquired site transmission data and the qualified entry efficiency assessment coefficient, and determines whether the qualified transfer conditions are met based on the data transfer assessment coefficient, thereby improving the accuracy of food return data collection.

[0023] The technical solution in the embodiment of the present application is to solve the problem of low accuracy in data collection of food returns, and the overall idea is as follows: The unqualified quality impact coefficient and the qualified quality impact coefficient are obtained through the food return transportation related data, and then the input efficiency evaluation coefficient is obtained based on the unqualified quality impact coefficient and the food return entry related data to determine whether to adjust the data entry efficiency. Finally, the data transfer evaluation coefficient is obtained by combining the site transmission data and the qualified entry efficiency evaluation coefficient to determine whether the transfer qualification conditions are met, thereby achieving the effect of improving the accuracy of food return data collection.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a flow chart of a method for processing freight return data based on the Internet of Things provided by an embodiment of the present application, the method comprising the following steps: S1, transportation quality impact assessment: obtaining a transportation quality impact coefficient based on the acquired food return transportation related data, performing transportation quality assessment based on the transportation quality impact coefficient to obtain an unqualified quality impact coefficient and a qualified quality impact coefficient, the transportation quality assessment represents a determination of whether the transportation quality impact coefficient meets the quality impact condition, the unqualified quality impact coefficient represents a collection assessment coefficient that meets the quality impact condition, the qualified quality impact coefficient represents a collection assessment coefficient that does not meet the quality impact condition, the transportation quality impact coefficient is used to assess the impact of the transportation quality of returned food on the conformity of return data (including but not limited to return data entry efficiency, return data transmission efficiency); S2, entry efficiency assessment: based on the unqualified The input efficiency evaluation coefficient is obtained by combining the price quality impact coefficient and the obtained food return entry-related data, and it is determined whether to adjust the data entry efficiency. The data entry efficiency adjustment means adjusting the input efficiency evaluation coefficient to meet the entry qualification conditions. The input efficiency evaluation coefficient is used to evaluate the entry of return information of returned food; S3, data transmission evaluation: combining the obtained site transmission data and the qualified input efficiency evaluation coefficient to obtain the data transmission evaluation coefficient, and judging whether the transmission qualification conditions are met based on the data transmission evaluation coefficient, the data transmission evaluation coefficient that does not meet the transmission qualification conditions is adjusted for transmission. The data transmission evaluation coefficient is used to evaluate the transmission of the input information of returned food. The transmission adjustment is used to adjust the data transmission evaluation coefficient to meet the transmission qualification conditions. The qualified input efficiency evaluation coefficient represents the input efficiency evaluation coefficient that meets the entry qualification conditions.

[0026] It should be added that the data related to food return transportation include transportation temperature, the number of damaged foods during transportation, the total transportation time and the total number of foods delivered during transportation; the data related to food return entry include the return data update rate, the amount of input data and the input time; the site transmission data includes the number of sites, the number of return data processing paths and the delivery time; the data related to food return transportation is obtained through transportation measuring equipment; the food return entry-related data and site transmission data are obtained through the preset data collection center; the transportation measuring equipment includes thermometers, counters and timers.

[0027] In this embodiment, food spoilage during transportation will lead to inaccurate cost accounting data. If food spoils during transportation, it will require re-shipping or handling of spoiled products, which will in turn reduce the accuracy of food return data collection. The transportation quality impact coefficient determines the quality status of returned food during transportation, which in turn affects subsequent data entry and data transmission. An increase in the transportation quality impact coefficient will lead to a decrease in the entry efficiency evaluation coefficient. For example, transportation damage may require more detailed entry of return information, which may cause a decrease in entry efficiency. The worse the transportation quality, the more times the return information needs to be modified and transmitted, thereby affecting the overall data transmission efficiency. In this embodiment, by monitoring the transportation quality impact coefficient, the entry efficiency evaluation coefficient and the data transmission evaluation coefficient and combining them with the Internet of Things technology, the Internet of Things technology can achieve full traceability of food returns. This not only ensures the transparency of food information, but also can quickly locate the problem link when a return occurs, providing an accurate information basis for subsequent entry and data transmission. Through real-time monitoring, data collection and intelligent analysis of IoT technology, the efficiency and accuracy of food return transportation, information entry and data transmission can be improved. Data transmission between return sites can be realized through the IoT network, which can ensure the real-time and accuracy of data, reduce delays and errors in the data transmission process, and improve the accuracy of food return data collection.

[0028] Specifically, the transportation temperature of the returned food at the preset transportation site is measured by a thermometer, the number of damaged foods and the total number of delivered foods are measured by preset personnel and counters, the total transportation time is measured by preset personnel and timers, and the food return entry-related data and site transmission data are obtained through the preset data collection center provided by the system; for returned foods corresponding to the qualified quality impact coefficient, the impact on the return food entry efficiency is small, and a prompt can be sent to the preset personnel to handle it according to the normal return process. For the unqualified quality impact coefficient, the impact on data entry and transmission will be further analyzed, thereby improving the accuracy of food return data collection.

[0029] Furthermore, the specific process of obtaining the transport quality influence coefficient based on the obtained food return transport related data is as follows: combining the transport temperature and the preset first collection weight obtained from the database to obtain the average transport temperature influence value (i.e., ), the average transport temperature impact value is expressed by the product of the mean value of the transport temperature and the preset first acquisition weight; the preset first acquisition weight is used to evaluate the influence of the average transport temperature in the preset transport station on the transport quality impact coefficient; the damage rate impact value (i.e., the value in the restricted expression of the transport quality impact coefficient) is obtained by combining the number of damaged foods during transportation, the total number of delivered foods, and the preset second acquisition weight obtained from the database. ), the damage rate impact value is expressed by the product of the ratio of the number of damaged food transported to the total number of delivered food transported and the preset second collection weight; the preset second collection weight is used to evaluate the influence of the damage rate in the preset transportation station on the transportation quality impact coefficient; the transportation time impact value (i.e., the value in the restriction expression of the transportation quality impact coefficient) is obtained by combining the total transportation time and the preset third collection weight obtained from the database. ), the transportation time impact value is represented by the result of the product operation of the preset third collection weight of the total transportation time; the preset third collection weight is used to evaluate the influence of the transportation time on the transportation quality influence coefficient during the transportation of returned food; the transportation temperature interference ratio is obtained by the ratio operation of the average transportation temperature impact value and the preset average transportation temperature threshold obtained from the database, and the transportation temperature interference ratio is used to evaluate the interference degree of temperature changes in the preset transportation station on the transportation quality influence coefficient; the transportation damage interference ratio is obtained by the ratio operation of the damage rate impact value and the preset average food damage rate threshold obtained from the database, and the transportation damage interference ratio is used to evaluate the interference degree of return food damage in the preset transportation station on the transportation quality influence coefficient; the transportation time interference ratio is obtained by the ratio operation of the transportation time impact value and the preset average transportation time threshold obtained from the database, and the transportation time interference ratio is used to evaluate the interference degree of transportation time on the transportation quality influence coefficient; the transportation quality influence coefficient is obtained by combining the transportation temperature interference ratio, the transportation damage interference ratio and the transportation time interference ratio.

[0030] Among them, the limiting expression of the transport quality influence coefficient is as follows: ; ; ; ; In the formula, It represents the transportation quality impact coefficient of the returned food at the xth preset transportation station, , x represents the number of the preset transportation station, y represents the total number of preset transportation stations, Indicates the average transportation temperature impact value of returned food. Indicates the impact value of the transportation time of returned food. It represents the damage rate impact value of returned food at the xth preset transportation station. Indicates the transportation temperature of the returned food at the xth preset transportation station. Indicates the number of returned foods damaged during transportation at the xth preset transportation station. Indicates the total quantity of food delivered for return food. Indicates the total transportation time of the returned food. Indicates the preset first acquisition weight, Indicates the preset second acquisition weight. Indicates the preset third acquisition weight, Indicates the preset average transport temperature threshold. represents the preset average food damage rate threshold, represents the preset average transportation time threshold, and e represents a natural constant.

[0031] In this embodiment, the aforementioned database is a database for storing various types of setting data established before the design of a freight return data processing method based on the Internet of Things provided in an embodiment of the present application. The database includes but is not limited to transportation time, data update rate, input efficiency, etc., and various numerical values ​​therein are directly set by technical personnel. For example, the preset average transportation temperature threshold is represented by the average value of the transportation temperature of returned food in the historical time period in the database, the preset average food damage rate threshold is represented by the average value of the food damage rate of returned food in the historical time period in the database, and the preset average transportation time threshold is represented by the average value of the transportation time of returned food in the historical time period in the database.

[0032] Specifically, a mapping set of transportation temperature, transportation damage rate, transportation time and corresponding weights is pre-set in the database, and the mapping set reflects the mapping relationship between the transportation temperature, transportation damage rate, transportation time and corresponding weights. The real-time transportation temperature, transportation damage rate and transportation time are input into the mapping set to obtain the preset first collection weight, preset second collection weight and preset third collection weight corresponding to the transportation temperature, transportation damage rate and transportation time. The preset first collection weight, preset second collection weight and preset third collection weight respectively reflect the influence degree of transportation temperature, transportation damage rate and transportation time on the transportation quality influence coefficient. For example, the transportation temperature, transportation damage rate and transportation time form a mapping set with the weights corresponding to the transportation temperature, transportation damage rate and transportation time preset in the database. The real-time transportation temperature, transportation damage rate and transportation time are input into the mapping set to obtain the weights corresponding to the transportation temperature, transportation damage rate and transportation time. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this embodiment, the value range is 0-1.

[0033] It should be understood that the algorithm of this embodiment combines the food return transportation related data for comprehensive analysis to obtain the transportation quality impact coefficient. The food return transportation related data in the algorithm of this embodiment does not exist independently, but is interrelated. The higher the transportation temperature, the more likely it is that the food will deteriorate, rot or be damaged. The worse the temperature control, the more damaged food will be. The longer the transportation time, the more damaged food may be. The greater the impact on the transportation quality impact coefficient, the greater the impact on the transportation quality impact coefficient, which may lead to an increase in the transportation quality impact coefficient. The parameters of the algorithm of this embodiment need to be considered together and at the same time to simultaneously consider the impact on the results, so as to achieve accurate quantification of the impact of the transportation quality of returned food on the conformity of return data, thereby achieving improved accuracy in food return data collection.

[0034] Furthermore, the specific process of conducting transport quality assessment based on the transport quality impact coefficient to obtain the unqualified quality impact coefficient and the qualified quality impact coefficient is as follows: determine whether the transport quality impact coefficient meets the quality impact condition; if so, it indicates that the impact on the return food entry efficiency is large, and the corresponding transport quality impact coefficient is marked as an unqualified quality impact coefficient; if not, it indicates that the impact on the return food entry efficiency is small, and the corresponding transport quality impact coefficient is marked as a qualified quality impact coefficient; the quality impact condition indicates that the transport quality impact coefficient is not lower than the preset transport impact threshold obtained from the database.

[0035] Furthermore, the specific process of obtaining the input efficiency evaluation coefficient is as follows: the average input efficiency impact value (i.e., the value in the restricted expression of the input efficiency evaluation coefficient) is obtained by calculating the average of the ratio of the input data volume to the input time. ); the average input efficiency impact value is used to reflect the impact of the information input efficiency of returned food in the preset transportation station on the input efficiency evaluation coefficient; the average update rate impact value (i.e., the value in the restriction expression of the input efficiency evaluation coefficient) is obtained by performing the mean operation on the return data update rate. ); the average update rate impact value is used to reflect the influence of the information update rate of returned food in the preset transportation station on the input efficiency evaluation coefficient; the input efficiency compliance ratio is obtained by the average input efficiency impact value and the preset average input efficiency threshold obtained from the database; the input efficiency compliance ratio is used to evaluate the compliance of the information input efficiency of returned food in the preset transportation station; the update rate compliance ratio is obtained by the average update rate impact value and the preset average data update rate threshold obtained from the database; the update rate compliance ratio is used to evaluate the compliance of the data update of returned food in the preset transportation station; the input efficiency evaluation coefficient is obtained by combining the input efficiency compliance ratio and the unqualified quality impact coefficient.

[0036] Among them, the input efficiency evaluation coefficient is obtained by the following method: ; ; ; In the formula, It represents the input efficiency evaluation coefficient of returned food at the xth preset transportation station, , x represents the number of the preset transportation station, y represents the total number of preset transportation stations, represents the average input efficiency impact value of returned food, represents the average update rate impact value of returned food, It represents the unqualified quality impact coefficient of the returned food at the xth preset transportation station, Indicates the update rate of return data of returned food at the xth preset transportation station, Indicates the amount of data entered into the returned food at the xth preset transportation station, Indicates the time it takes for the returned food to be entered at the xth preset transportation station. Indicates the preset average input efficiency threshold, Indicates the preset average data update rate threshold.

[0037] In this embodiment, the preset average entry efficiency threshold is represented by the square root of the average value of the return food entry efficiency in the historical time period in the database, and the preset average data update rate threshold is represented by the average value of the return food data update rate in the historical time period in the database.

[0038] It should be understood that the algorithm of this embodiment combines the unqualified quality impact coefficient and the food return entry-related data for comprehensive analysis to obtain the input efficiency evaluation coefficient. The unqualified quality impact coefficient and the food return entry-related data in the algorithm of this embodiment are not independent, but are interrelated. The unqualified quality impact coefficient may directly affect the frequency of return data updates. Food spoilage may increase the workload of data entry personnel, resulting in reduced input efficiency, which in turn leads to a decrease in the input efficiency evaluation coefficient. For example, it is necessary to handle the return and exchange of spoiled products. These processes require additional data entry and review work. The faster the update rate, the more data is processed in the same time, which may lead to an increase in the input efficiency evaluation coefficient. The parameters of the algorithm of this embodiment need to be considered together and at the same time. The impact on the results.

[0039] Specifically, assuming that the return data update rate The range is 50-100 (times / second), and the total number of transport stations y is preset to be 15, such as Figure 2 As shown, it is a statistical diagram of the change of the return data update rate-average update rate impact value provided by the embodiment of the present application, which is composed of Figure 2It can be seen that as the update rate of return data gradually increases, the average update rate impact value gradually increases, which means that the influence of data update rate on the input efficiency evaluation coefficient gradually increases, and the input efficiency of return information of returned food gradually improves, which realizes the evaluation of the input of return information of returned food, and then realizes the improvement of the accuracy of food return data collection.

[0040] Furthermore, the specific process of determining whether to adjust the data entry efficiency is as follows: determine whether the entry efficiency evaluation coefficient meets the entry qualification conditions; if so, do not adjust the data entry efficiency; if not, execute the following steps: Step one, perform pre-filling processing. When the monitored entry efficiency evaluation coefficient meets the entry qualification conditions, stop adjusting the data entry efficiency; otherwise, execute step two. The pre-filling processing means extracting information through the NLP (Natural Language Processing) method; Step two, perform data recognition processing. When the monitored entry efficiency evaluation coefficient meets the entry qualification conditions, stop adjusting the data entry efficiency; otherwise, send a warning prompt. The data recognition processing means improving the data entry efficiency through the optical character recognition method; the entry qualification condition means that the entry efficiency evaluation coefficient is not lower than the preset minimum entry efficiency value obtained from the database.

[0041] In this embodiment, the preset minimum entry efficiency is represented by the average value of the return food entry efficiency evaluation coefficient in the historical time period in the database. The pre-filling process refers to the use of natural language processing methods to automatically extract key data from the text information of the returned food (such as product name, quantity, reason for return, etc.) before data entry, and pre-fill it into the system. During the data entry process, the optical character recognition method is used to automatically identify and extract text information in the image (such as labels, packaging, transportation documents, etc. of returned food), and convert it into editable and storable text data. Through pre-filling processing and data recognition processing, the efficiency and quality of data entry can be significantly improved, and the accuracy of food return data collection can be improved.

[0042] Furthermore, the specific process of combining the acquired site transmission data and the qualified input efficiency evaluation coefficient to obtain the data transfer evaluation coefficient is as follows: the transfer complexity impact value (i.e., the value of the restriction expression of the data transfer evaluation coefficient) is obtained by multiplying the number of sites and the number of return data processing paths. ); the transfer complexity impact value is used to evaluate the influence of the transfer complexity of the corresponding data of returned food in the preset transportation station on the data transfer evaluation coefficient; the transfer complexity compliance ratio is obtained by performing a ratio operation between the transfer complexity impact value and the preset average transfer complexity threshold obtained from the preset database; the transfer complexity compliance ratio is used to evaluate the compliance of the transfer complexity of the corresponding data of returned food in the preset transportation station; the data transfer evaluation coefficient is obtained by combining the transfer complexity compliance ratio and the qualified entry efficiency evaluation coefficient.

[0043] Among them, the data transfer evaluation coefficient is obtained by the following method: ; ; In the formula, It represents the data transfer evaluation coefficient of the returned food at the x-th preset transportation station. , x represents the number of the preset transportation station, y represents the total number of preset transportation stations, It represents the impact value of the delivery complexity of returned food at the xth preset transportation station. It represents the qualified entry efficiency evaluation coefficient of returned food at the xth preset transportation station, Indicates the number of return data processing paths for returned food at the xth preset transportation station, represents the preset average transfer complexity threshold, and e represents a natural constant.

[0044] In this embodiment, the preset average delivery complexity threshold is represented by the average value of the delivery complexity of returned food in a historical time period in the database.

[0045] It should be understood that the algorithm of this embodiment combines the site transmission data and the qualified entry efficiency evaluation coefficient for comprehensive analysis to obtain the data transmission evaluation coefficient. In the algorithm of this embodiment, the site transmission data and the qualified entry efficiency evaluation coefficient do not exist independently, but are interrelated. The more preset transportation sites, the more return data needs to be transmitted and processed between more nodes, thereby increasing the number of processing paths, which may increase the complexity and time cost of data transmission. The increase in the number of processing paths usually leads to an extension of the transmission time, which may cause a decrease in data transmission efficiency, and then lead to a decrease in the data transmission evaluation coefficient. Efficient data entry (i.e., the larger the qualified entry efficiency evaluation coefficient) can shorten the residence time of data in the system, thereby indirectly reducing the transmission time and transmission complexity. The parameters of the algorithm of this embodiment need to be considered together and at the same time to affect the results.

[0046] Specifically, assuming the number of return data processing paths The range is 10-20, the total number of transport stations y is fixed to 10, and the average delivery complexity threshold is preset Fixed to 150, qualified entry efficiency evaluation coefficient The range is 3-3.5, as shown in the following table, which is a statistical table of changes in the data transfer evaluation coefficient: Table 1 Statistics of changes in data transfer evaluation coefficients

[0047] As can be seen from the above table, as the number of return data processing paths increases The efficiency evaluation coefficient of qualified entry is gradually reduced. The data transmission evaluation coefficient gradually increases, which means that the transmission efficiency of the input information of returned food is gradually improved, and the accurate quantification of the transmission of the input information of returned food is realized, thereby improving the accuracy of food return data collection.

[0048] Furthermore, the specific process of transmission adjustment is as follows: determine whether the data transmission evaluation coefficient meets the transmission qualification conditions; if so, no transmission adjustment is performed; if not, the following steps are performed: the first step is to send a prompt to the preset personnel to prioritize the urgency of information transmission. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise the second step is performed. The information transmission urgency priority ranking indicates the priority transmission order of the returned food information to be delivered manually marked by the preset personnel; the second step is to perform transmission synchronization processing. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise a warning prompt is sent. The transmission synchronization processing indicates that the real-time synchronization of data transmission is realized through the API (Application Programming Interface) method; the transmission qualification condition indicates that the data transmission evaluation coefficient is not higher than the preset data transmission complexity minimum value obtained from the database.

[0049] In this embodiment, the preset minimum value of data transmission complexity is represented by the average value of the return food data transmission evaluation coefficient in the historical time period in the database. The preset personnel will comprehensively evaluate the urgency of each return food information. For example, the return food information corresponding to the maximum value of the transportation quality impact coefficient is monitored, and the return food information corresponding to the maximum value of the transportation quality impact coefficient is marked as priority transmission. After the marking is completed, all return food information to be transmitted (such as the degree of deterioration and damage of the return food) will be sorted according to their priority transmission order. The system will first process the return food information with the highest priority. Through the API method, data transmission can be synchronized in real time. This means that when a site updates or adds new return food information, this information will be immediately transmitted to other related sites through the API to ensure that all systems have the latest and most accurate data; the accuracy of food return data collection is improved.

[0050] like Figure 3 As shown, it is a structural schematic diagram of a freight return data processing system based on the Internet of Things provided by an embodiment of the present application. The freight return data processing system based on the Internet of Things provided by an embodiment of the present application includes a transportation quality impact assessment module, an input efficiency assessment module and a data transmission assessment module: wherein the transportation quality impact assessment module is used to obtain a transportation quality impact coefficient based on the acquired food return transportation related data, and to perform a transportation quality assessment based on the transportation quality impact coefficient to obtain an unqualified quality impact coefficient and a qualified quality impact coefficient. The transportation quality assessment indicates whether the transportation quality impact coefficient meets the quality impact conditions. The unqualified quality impact coefficient indicates a collection assessment coefficient that meets the quality impact conditions. The qualified quality impact coefficient indicates a collection assessment coefficient that does not meet the quality impact conditions. The transportation quality impact coefficient is used to assess the impact of the transportation quality of the returned food on the conformity of the return data; recording The input efficiency evaluation module is used to obtain the input efficiency evaluation coefficient based on the unqualified quality impact coefficient and the obtained food return entry-related data and determine whether to adjust the data entry efficiency. The data entry efficiency adjustment means adjusting the input efficiency evaluation coefficient to meet the entry qualification conditions. The input efficiency evaluation coefficient is used to evaluate the entry status of the return information of the returned food; the data transmission evaluation module is used to obtain the data transmission evaluation coefficient in combination with the obtained site transmission data and the qualified input efficiency evaluation coefficient, determine whether the transmission qualification conditions are met based on the data transmission evaluation coefficient, and perform transmission adjustment on the data transmission evaluation coefficient that does not meet the transmission qualification conditions. The data transmission evaluation coefficient is used to evaluate the transmission status of the entry information of the returned food. The transmission adjustment is used to adjust the data transmission evaluation coefficient to meet the transmission qualification conditions. The qualified input efficiency evaluation coefficient represents the input efficiency evaluation coefficient that meets the entry qualification conditions.

[0051] like Figure 4 As shown, it is an overall flow chart provided in an embodiment of the present application. The transport quality impact assessment module, the data entry efficiency assessment module and the data transfer assessment module cooperate with each other to ensure the reliability of food return data compliance data collection by evaluating the transport quality impact coefficient, the data entry efficiency assessment coefficient and the data transfer assessment coefficient; thus, the accuracy of food return data collection is improved.

[0052] To summarize, the embodiment of the present application obtains the unqualified quality impact coefficient and the qualified quality impact coefficient through the food return transportation related data, and then obtains the input efficiency evaluation coefficient based on the unqualified quality impact coefficient and the food return entry related data and determines whether to adjust the data entry efficiency, and finally obtains the data transfer evaluation coefficient by combining the site transmission data and the qualified entry efficiency evaluation coefficient and determines whether the qualified transfer conditions are met, thereby achieving accurate quantification of the impact of transportation quality on the return data compliance collection, and then achieving improved accuracy in food return data collection, effectively solving the problem of low accuracy in food return data collection in the prior art.

[0053] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0055] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0057] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for processing freight return data based on the Internet of Things, characterized in that: The following steps are involved: S1, obtaining a transport quality influence coefficient based on the obtained food return transport related data, and performing a transport quality assessment based on the transport quality influence coefficient to obtain an unqualified quality influence coefficient and a qualified quality influence coefficient, wherein the transport quality influence coefficient is used to assess the impact of the transport quality of the returned food on the conformity of the return data; S2, based on the unqualified quality impact coefficient and the obtained food return entry related data, obtaining an entry efficiency evaluation coefficient and determining whether to adjust the data entry efficiency, wherein the entry efficiency evaluation coefficient is used to evaluate the entry status of the return information of the returned food; S3, combining the acquired site transmission data and the qualified input efficiency evaluation coefficient to obtain a data transmission evaluation coefficient, and judging whether to make a transmission adjustment based on the data transmission evaluation coefficient, wherein the data transmission evaluation coefficient is used to evaluate the transmission of the input information of the returned food.

2. A method for processing freight return data based on the Internet of Things as claimed in claim 1, characterized in that: The food return transportation related data include transportation temperature, quantity of damaged food during transportation, total transportation time and total quantity of food delivered during transportation; The food return entry-related data includes the return data update rate, the amount of input data and the input time; The site transmission data includes the number of sites, the number of return data processing paths and the transmission time; The food return transportation related data is obtained through transportation measurement equipment; The transport measurement equipment includes a thermometer, a counter and a timer.

3. A method for processing freight return data based on the Internet of Things as claimed in claim 2, characterized in that: The specific process of obtaining the transport quality influence coefficient based on the obtained food return transport related data is as follows: Combining the transportation temperature with the preset first collection weight obtained from the database to obtain an average transportation temperature impact value; The damage rate impact value is obtained by combining the quantity of damaged food during transportation, the total quantity of food delivered during transportation, and the preset second collection weight obtained from the database; The total transportation time and the preset third collection weight obtained from the database are combined to obtain the transportation time impact value; The transportation temperature interference ratio is obtained by performing a ratio operation between the average transportation temperature impact value and the preset average transportation temperature threshold value obtained from the database; The transport damage interference ratio is obtained by performing a ratio calculation between the damage rate impact value and the preset average food damage rate threshold obtained from the database; The transportation time interference ratio is obtained by performing a ratio calculation between the transportation time impact value and the preset average transportation time threshold obtained from the database; The transport quality influence coefficient is obtained by combining the transport temperature interference ratio, transport damage interference ratio and transport time interference ratio.

4. A method for processing freight return data based on the Internet of Things as claimed in claim 3, characterized in that: The specific process of performing transport quality assessment based on the transport quality impact coefficient to obtain the unqualified quality impact coefficient and the qualified quality impact coefficient is as follows: Determine whether the transport quality impact coefficient meets the quality impact conditions; If it meets the requirements, the corresponding transport quality impact coefficient will be marked as unqualified quality impact coefficient; If it does not meet the requirements, the corresponding transport quality impact coefficient will be marked as the qualified quality impact coefficient; The quality impact condition indicates that the transport quality impact coefficient is not lower than a preset transport impact threshold obtained from a database.

5. A method for processing freight return data based on the Internet of Things as claimed in claim 3, characterized in that: The limiting expression of the transport quality influence coefficient is as follows: ； In the formula, It represents the transportation quality impact coefficient of the returned food at the xth preset transportation station, , x represents the number of the preset transportation station, y represents the total number of preset transportation stations, Indicates the average transportation temperature impact value of returned food. Indicates the impact value of the transportation time of returned food. It represents the damage rate impact value of returned food at the xth preset transportation station. Indicates the preset average transport temperature threshold. represents the preset average food damage rate threshold, represents the preset average transportation time threshold, and e represents a natural constant.

6. A method for processing freight return data based on the Internet of Things as claimed in claim 2, characterized in that: The specific process of obtaining the input efficiency evaluation coefficient is as follows: The average input efficiency impact value is obtained by calculating the average ratio of the input data volume and the input time; The average update rate impact value is obtained by performing mean calculation on the update rate of return data; The input efficiency compliance ratio is obtained by using the average input efficiency impact value and the preset average input efficiency threshold obtained from the database; The update rate compliance ratio is obtained by using the average update rate impact value and a preset average data update rate threshold obtained from a database; The input efficiency evaluation coefficient is obtained by combining the input efficiency compliance ratio and the unqualified quality impact coefficient.

7. A method for processing freight return data based on the Internet of Things as claimed in claim 6, characterized in that: The specific process of determining whether to adjust the data entry efficiency is as follows: Step 1: perform pre-filling processing. When the monitored input efficiency evaluation coefficient meets the input qualification condition, stop adjusting the data input efficiency. Otherwise, execute step 2. Step 2: Perform data identification and processing. When the monitored input efficiency evaluation coefficient meets the input qualification conditions, stop adjusting the data input efficiency. Otherwise, send a warning prompt. The entry qualification condition indicates that the entry efficiency evaluation coefficient is not lower than a preset entry efficiency minimum value obtained from a database.

8. A method for processing freight return data based on the Internet of Things as claimed in claim 2, characterized in that: The specific process of combining the acquired site transmission data and the qualified input efficiency evaluation coefficient to obtain the data transmission evaluation coefficient is as follows: The transfer complexity impact value is obtained by multiplying the number of sites and the number of return data processing paths; The transfer complexity compliance ratio is obtained by performing a ratio operation between the transfer complexity influence value and a preset average transfer complexity threshold obtained from a preset database; The data transfer evaluation coefficient is obtained by combining the transfer complexity compliance ratio and the qualified entry efficiency evaluation coefficient.

9. A method for processing freight return data based on the Internet of Things as claimed in claim 8, characterized in that: The specific process of transfer adjustment is as follows: The first step is to send a reminder to the preset personnel to prioritize the urgency of information transmission. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise the second step is executed; The second step is to perform transmission synchronization processing. When the monitored data transmission evaluation coefficient meets the transmission qualification conditions, the transmission adjustment is stopped, otherwise a warning prompt is sent; The transfer qualification condition indicates that the data transfer evaluation coefficient is not higher than a preset data transfer complexity minimum value obtained from a database.

10. A freight return data processing system based on the Internet of Things, characterized in that: Including transport quality impact assessment module, data entry efficiency assessment module and data transfer assessment module: The transport quality impact assessment module is used to obtain the transport quality impact coefficient based on the acquired food return transport related data, and to perform transport quality assessment based on the transport quality impact coefficient to obtain the unqualified quality impact coefficient and the qualified quality impact coefficient. The transport quality impact coefficient is used to assess the impact of the transport quality of the returned food on the conformity of the return data. The input efficiency evaluation module is used to obtain an input efficiency evaluation coefficient based on the unqualified quality impact coefficient and the acquired food return input related data and determine whether to adjust the data input efficiency. The input efficiency evaluation coefficient is used to evaluate the input status of the return information of the returned food; The data transmission evaluation module is used to combine the acquired site transmission data and the qualified input efficiency evaluation coefficient to obtain a data transmission evaluation coefficient, and determine whether to make a transmission adjustment based on the data transmission evaluation coefficient. The data transmission evaluation coefficient is used to evaluate the transmission status of the input information of the returned food.

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