An Internet of Things-based data control system and method

Abstract

The present invention discloses a data control system and method based on the Internet of Things, belonging to the field of e-commerce. The system includes a data acquisition module, a data analysis module, a cache module and a data processing module; the output end of the data acquisition module is connected to the input end of the data analysis module; the output end of the data analysis module is connected to the input end of the cache module; the output end of the data analysis module is connected to the input end of the data processing module; the output end of the cache module is connected to the input end of the data processing module; the present invention can effectively solve the problem of order data transmission congestion in the Internet of Things, divert the order data generated on the network, and at the same time enable the order data information to be processed in a more efficient manner, making the execution system operate more simply, thereby bringing convenience to people's lives.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce, and specifically to a data control system and method based on the Internet of Things. Background Art

[0002] The Internet of Things is a network that connects items to the Internet through various information sensing devices according to a predefined protocol for information exchange and communication, so as to achieve intelligent identification, positioning, tracking, monitoring, and management. The Internet of Things is a new technological system formed by the integration of multiple information technologies.

[0003] With the booming development of the e-commerce industry, when people consume on the Internet, there will often be problems such as order lags and network crashes, which greatly affect the online shopping experience. Therefore, people need a data control system and method based on the Internet of Things to solve the problem of congested order data transmission in the Internet of Things, so that order data information can be processed in a more efficient manner, making the execution system operate more simply, and thus bringing convenience to people's lives. Summary of the Invention

[0004] The purpose of the present invention is to provide a data control system and method based on the Internet of Things to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solution: A data control system based on the Internet of Things, the system includes a data acquisition module, a data analysis module, a cache module, and a data processing module;

[0006] The data acquisition module is used to collect user order data, summarize it and send it to the data analysis module; the data analysis module is used to analyze the order data and determine how to control the current data to be processed according to the current data volume to be processed and the data processing efficiency; the cache module is used to cache the order data and determine when to send the cached data to the data processing end; the data processing module is used to process the data, calculate the current data processing efficiency, and feedback the processed order information to the user;

[0007] The output end of the data acquisition module is connected to the input end of the data analysis module; the output end of the data analysis module is connected to the input end of the cache module; the output end of the data analysis module is connected to the input end of the data processing module; the output end of the cache module is connected to the input end of the data processing module;

[0008] The data acquisition module includes a user management unit and an order data management unit;

[0009] The user management unit is used to collect basic information of users; the order data management unit is used to create an order and send the order data to the data analysis module;

[0010] The output end of the user management unit is connected to the input end of the order data management unit; the output end of the order data management unit is connected to the input end of the data analysis module.

[0011] According to the above technical solution, the data analysis module includes a data analysis unit and a data management unit;

[0012] The data analysis unit is used to analyze the current data to be processed and analyze the current data processing efficiency; the data management unit is used to judge whether to send the data to the cache module or the data processing module according to the current data processing situation;

[0013] The output end of the data analysis unit is connected to the input end of the data management unit; the output end of the data management unit is connected to the input end of the cache module; the output end of the data management unit is connected to the input end of the data processing module.

[0014] According to the above technical solution, the cache module includes a cache data unit and a cache data processing unit;

[0015] The cache data unit is used to cache the data; the cache data processing unit is used to judge whether to send the cached data to the data processing module;

[0016] The output end of the cache data unit is connected to the input end of the cache data processing unit; the output end of the cache data processing unit is connected to the input end of the data processing module.

[0017] According to the above technical solution, the data processing module includes a data processing unit and an order feedback unit;

[0018] The data processing unit is used to process the received data, analyze the current data processing efficiency, and feedback to the data analysis unit in the data analysis module; the order feedback unit is used to feedback the processed order information to the user;

[0019] The output end of the data processing unit is connected to the input end of the order feedback unit; the output end of the data processing unit is connected to the input end of the data analysis unit in the data analysis module.

[0020] An Internet of Things-based data control method, the method comprising the following steps:

[0021] S10. After the user logs in and authorizes, collect user and order information, create an order and mark it;

[0022] S20. Analyze and process the order data in step S10, and conduct diversion control on the order data according to the current number of orders to be processed and the current order processing efficiency.

[0023] S30. When the order data processing efficiency in the order processing unit does not reach the maximum, preferentially process the cached data in the cache module, and then process the data to be processed in the data analysis module.

[0024] S40. When the order data processing efficiency in the order processing unit reaches the maximum, send the remaining order data to be processed to the cache module for caching.

[0025] S50. Process the data in the order processing unit, send the processed data information to the data analysis unit, and feedback the processed order information to the user.

[0026] Among them, the cache module is used to cache order data; the data analysis module is used to analyze order data; the data analysis unit is used to analyze the current data to be processed and the current data processing efficiency.

[0027] In the present invention, during the network peak period, due to the excessive number of orders to be processed, it is difficult to process order information in a timely manner. Therefore, the remaining orders to be processed are sent to the cache end for caching, thereby preventing network congestion caused by too many orders in the processor, enhancing the order processing efficiency, improving the network speed, and enhancing the user experience at the same time.

[0028] In step S10, commodity information is obtained through a radio frequency identification (RFID) electronic tag, and a commodity order associated with the RFID electronic tag is generated.

[0029] In step S20, the steps of conducting diversion control on the order data according to the current number of orders to be processed and the current order processing efficiency are as follows:

[0030] S201. Specify a unit time T, obtain the current number of orders to be processed n according to the order data created in step S10, and obtain the maximum order processing efficiency η and the current data processing efficiency η from the information fed back by the data management unit. max and the current data processing efficiency η i ,

[0031] Among them, the data management unit is used to judge the data sending address according to the current data processing situation.

[0032] S202. Predict whether congestion will occur during data transmission and processing, and judge whether the data processing unit is at the maximum working efficiency.

[0033] Among them, the data processing unit is used to process the received data and analyze the current data processing efficiency.

[0034] The judgment method is as follows:

[0035] Predict the time T for the data to be processed currently to be processed in the data processing unit x , where:

[0036] When T x ≤T, η i <η max At this time, send all the data to be processed to the data processing module;

[0037] When T x >T, η i <η max At this time, send the data to be processed to the data processing module until η i =η max , and then send the remaining data to be processed to the cache module;

[0038] When η i =η max At this time, send all the data to be processed to the cache module;

[0039] Among them, the data processing module is used to process data, calculate the current data processing efficiency, and feedback the processed order information to the user.

[0040] In steps S30 and S40, when the order data processing efficiency reaches the maximum, send the remaining order data to be processed to the cache module for caching. Among them, the cache module contains multiple data buffer areas, and the cache data unit for caching the order data to be processed will classify and cache the order data according to the electronic tags in the commodity order; when the order data processing efficiency does not reach the maximum, give priority to processing the cache data, and the cache data processing unit will give priority to processing the orders with a longer caching time in the cache area according to the electronic tags in the commodity order. After the order data in the cache area is processed, then process the data to be processed in the data analysis module.

[0041] In steps S30 and S40, the calculation method of the maximum processing efficiency η of the orders in the data processing unit is: max is:

[0042] S301. Obtain the order data processing volume m in the data processing module per unit time, denoted as the set A1 = {m1, m2, m3,..., m p}], and the m1, m2, m3,..., m p respectively represent the order data processing volume per unit time;

[0043] S302. Calculate the order processing efficiency η for each unit time according to the system big data, and record it as the set A2 = {η1, η2, η3,..., η p}, where η1, η2, η3,..., η p respectively represent the data order processing efficiency for each unit time; the calculation method is:

[0044] where m x represents the order data processing volume in the data processing module within a certain specific time; η x represents the data order processing efficiency within a certain specific time;

[0045] S***303. Compare to obtain the maximum value η f of the data order processing volume per unit time in the set A2, which is the maximum order processing efficiency in the data processing unit.

[0046] In step S50, the calculation method of the current data processing efficiency η i in the data processing unit is:

[0047] where m i represents the data processing volume in the data processing module within the current unit time period.

[0048] If the user hopes to process the order data as soon as possible and sends an instruction, the cache data processing unit that determines whether to send the cache data to the data processing module can preferentially process the order through the radio frequency identification electronic tag in the order.

[0049] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: A new data control system and method based on the Internet of Things are provided. During the peak period of network order data processing, it can also efficiently and quickly process more order information, divert the network order data, prevent the network collapse problem caused by the accumulation of network orders, improve the network speed, and bring convenience to people's lives. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0051] Figure 1 is a schematic structural diagram of a data control system based on the Internet of Things according to the present invention.

[0052] Figure 2 is a schematic diagram of the steps of a method for data control based on the Internet of Things according to the present invention. Detailed Implementation Manner

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] Please refer to Figures 1 to 2 , the present invention provides a technical solution: an Internet of Things-based data control system, which includes a data acquisition module, a data analysis module, a cache module, and a data processing module;

[0055] The data acquisition module is used to collect user order purchase data and summarize it; the data processing module is used to process the data summarized by the data acquisition module; the allocation module is used to allocate and process commodity orders; the single-category commodity module is used to settle orders for single-category commodities; the multi-category commodity module is used to settle orders for multi-category commodities;

[0056] The data acquisition module is used to collect user order data, summarize it and send it to the data analysis module; the data analysis module is used to analyze order data and judge how to control the current data to be processed according to the current data volume to be processed and the data processing efficiency; the cache module is used to cache order data and judge when to send the cached data to the data processing end; the data processing module is used to process data, calculate the current data processing efficiency, and feedback the processed order information to the user;

[0057] The output end of the data acquisition module is connected to the input end of the data analysis module; the output end of the data analysis module is connected to the input end of the cache module; the output end of the data analysis module is connected to the input end of the data processing module; the output end of the cache module is connected to the input end of the data processing module;

[0058] The data acquisition module includes a user management unit and an order data management unit;

[0059] The user management unit is used to collect basic information of users; the order data management unit is used to create orders and send order data to the data analysis module;

[0060] The output end of the user management unit is connected to the input end of the order data management unit; the output end of the order data management unit is connected to the input end of the data analysis module.

[0061] The data analysis module includes a data analysis unit and a data management unit; the data analysis unit is used to analyze the current data to be processed and analyze the current data processing efficiency; the data management unit is used to determine whether to send the data to the cache module or the data processing module according to the current data processing situation;

[0062] The output end of the data analysis unit is connected to the input end of the data management unit; the output end of the data management unit is connected to the input end of the cache module; the output end of the data management unit is connected to the input end of the data processing module.

[0063] The cache module includes a cache data unit and a cache data processing unit;

[0064] The cache data unit is used to cache the data; the cache data processing unit is used to determine whether to send the cached data to the data processing module;

[0065] The output end of the cache data unit is connected to the input end of the cache data processing unit; the output end of the cache data processing unit is connected to the input end of the data processing module.

[0066] The data processing module includes a data processing unit and an order feedback unit;

[0067] The data processing unit is used to process the received data, analyze the current data processing efficiency, and feedback to the data analysis unit in the data analysis module; the order feedback unit is used to feedback the processed order information to the user;

[0068] The output end of the data processing unit is connected to the input end of the order feedback unit; the output end of the data processing unit is connected to the input end of the data analysis unit in the data analysis module.

[0069] An Internet of Things-based data control method, the method comprising the following steps:

[0070] S10. After the user logs in and authorizes, collect user and order information, create an order and mark it;

[0071] S20. Analyze and process the order data in step S10, and perform shunt control on the order data according to the current number of orders to be processed and the current order processing efficiency;

[0072] S30. When the order data processing efficiency in the order processing unit does not reach the maximum, give priority to processing the cached data in the cache module, and then process the data to be processed in the data analysis module;

[0073] S40. When the order data processing efficiency in the order processing unit reaches the maximum, send the remaining order data to be processed to the cache module for caching;

[0074] S50. Process the data in the order processing unit, send the processed data information to the data analysis unit, and feedback the processed order information to the user;

[0075] Among them, the cache module is used to cache order data; the data analysis module is used to analyze order data; the data analysis unit is used to analyze the current data to be processed and the current data processing efficiency;

[0076] In step S10, obtain the commodity information through the radio frequency identification electronic tag and generate a commodity order associated with the radio frequency identification electronic tag.

[0077] In step S20, the steps for shunting and controlling the order data according to the current number of orders to be processed and the current order processing efficiency are as follows:

[0078] S201. Specify the unit time T, obtain the current number of orders to be processed n according to the order data created in step S10, and obtain the maximum order processing efficiency η from the information fed back by the data management unit max and the current data processing efficiency η i ,

[0079] Among them, the data management unit is used to judge the data sending address according to the current data processing situation;

[0080] S202. Predict whether congestion will occur during data transmission and processing, and judge whether the data processing unit is at the maximum working efficiency;

[0081] Among them, the data processing unit is used to process the received data and analyze the current data processing efficiency;

[0082] The judgment method is as follows:

[0083] Predict the time T for the current data to be processed in the data processing unit for data processing x , where:

[0084] When T x ≤T, η i <η max Send all the data to be processed to the data processing module;

[0085] When T x >T, η i <η max Send the data to be processed to the data processing module until η i= η max , and then send the remaining data to be processed to the cache module;

[0086] When η i = η max , send all the data to be processed to the cache module;

[0087] Among them, the data processing module is used to process data, calculate the current data processing efficiency, and feedback the processed order information to the user.

[0088] In steps S30 and S40, when the order data processing efficiency reaches the maximum, send the remaining order data to be processed to the cache module for caching. Among them, the cache module contains multiple data buffer areas, and the cache data unit for caching the order data to be processed will classify and cache the order data according to the electronic tags in the commodity order; when the order data processing efficiency does not reach the maximum, give priority to processing the cache data, and the cache data processing unit will give priority to processing the orders with a longer cache time in the cache area according to the electronic tags in the commodity order. After the order data in the cache area is processed, then process the data to be processed in the data analysis module.

[0089] In steps S30 and S40, the maximum processing efficiency η of the order in the data processing unit max is calculated as follows:

[0090] S301. Obtain the order data processing volume m in the data processing module per unit time, denoted as the set A1 = {m1, m2, m3,..., m p}, where m1, m2, m3,..., m p respectively represent the order data processing volume per unit time;

[0091] S302. According to the system big data, calculate the order processing efficiency η per unit time respectively, denoted as the set A2 = {η1, η2, η3,..., η p}, where η1, η2, η3,..., η p respectively represent the order data processing efficiency per unit time; the calculation method is:

[0092] Among them, m x represents the order data processing volume in the data processing module at a certain specific time; η x represents the order data processing efficiency at a certain specific time;

[0093] S303. Compare and obtain the maximum value η of the order data processing volume per unit time in the set A2 f , which is the maximum processing efficiency of the order in the data processing unit.

[0094] In step S50, the current data processing efficiency η in the data processing unit i is calculated as follows:

[0095] where m i represents the data processing volume in the data processing module within the current unit time period.

[0096] If the user hopes to process the order data as soon as possible and sends an instruction, the cache data processing unit that determines whether to send the cache data to the data processing module can preferentially process the order through the radio frequency identification electronic tag in the order.

[0097] In this embodiment:

[0098] Based on the system historical big data of the data processing unit during the peak order processing period, set the maximum order processing efficiency η max , collect the order data processing volume m in the data processing module within each unit time, and another set A3, where A3 = {120, 119, 120, 118, 120, 120, 119, 120, 119, 120}; according to the formula:

[0099]

[0100] Obtain the set A4 of the data order processing efficiency η corresponding to the unit time, and obtain the maximum value of η max in the set A4, that is, the maximum number of data order processing efficiencies per unit time is 120;

[0101] Set that within a certain time period, after the user logs in and authorizes, collect the user and order information. After creating an order, the number of current pending orders per unit time within this time period is 60, 120, 240, 240, 120 respectively; according to the formula:

[0102] Predict the data processing times T1, T2, T3, T4, T5 of the pending data in the data processing unit per unit time within this time period, which are T, 2T, 2T;

[0103] According to the formula:

[0104]

[0105] The data processing unit feeds back the data processing volume η per unit time within this time period x to the data analysis unit;

[0106] In the first unit time period, η1 < η max, T1 < T. At this time, the data processing unit has not reached its maximum efficiency. Therefore, all the data to be processed is sent to the data processing module, and the data processing unit sends the current data processing efficiency η2 to the data analysis unit;

[0107] In the second unit time period, η2 < η max , T2 = T. At this time, the data processing unit has not reached its maximum efficiency. Therefore, all the data to be processed is sent to the data processing module, and the data processing unit sends the current data processing efficiency η3 to the data analysis unit;

[0108] In the third unit time period, η3 = η max , T3 > T. At this time, the data processing unit reaches its maximum efficiency, and the number of data to be processed in the data analysis unit cannot all be processed. Therefore, the maximum number of order data 120 that the data processing unit can process is sent to the data processing module, and the remaining number of data to be processed (n - 120) is sent to the cache module. The data processing unit sends the current data processing efficiency η4 to the data analysis unit;

[0109] In the fourth unit time period, η4 = η max , T4 > T; At this time, the data processing unit reaches its maximum efficiency, and there is cached data in the cache module, which cannot all be processed. Therefore, all the data to be processed is sent to the cache module, and the data processing unit sends the current data processing efficiency η5 to the data analysis unit;

[0110] After the data processing unit finishes processing the order data, it feeds back the processed order information to the user.

[0111] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.

[0112] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A data management and control method based on the Internet of Things, characterized by: The method includes the following steps: S10. After the user logs in and authorizes, collect user and order information, create an order and mark it; S20. Analyze and process the order data in step S10, and conduct shunt control on the order data according to the current number of orders to be processed and the current order processing efficiency; S30. When the order data processing efficiency in the order processing unit does not reach the maximum, preferentially process the cached data in the cache module, and then process the data to be processed in the data analysis module; S40. When the order data processing efficiency in the order processing unit reaches the maximum, send the remaining order data to be processed to the cache module for caching; S50. Process the data in the order processing unit, send the processed data information to the data analysis unit, and feedback the processed order information to the user; Among them, the cache module is used to cache order data; the data analysis module is used to analyze order data; the data analysis unit is used to analyze the current data to be processed and the current data processing efficiency; In step S10, obtain product information through a radio frequency identification electronic tag, and generate a product order associated with the radio frequency identification electronic tag; In step S20, the steps of conducting shunt control on the order data according to the current number of orders to be processed and the current order processing efficiency are as follows: S201: Given a unit time T, obtain the current number of pending orders n based on the order data created in step S10, and obtain the maximum order processing efficiency η based on the information fed back by the data management unit. max and current data processing efficiency η i , Among them, the data management unit is used to judge the data sending address according to the current data processing situation; S202. Predict whether congestion will occur during data transmission processing, and judge whether the data processing unit is at the maximum working efficiency; Among them, the data processing unit is used to process the received data and analyze the current data processing efficiency; The judgment method is as follows: Predict the time T for the current data to be processed in the data processing unit x ,in: When T x ≤T,η i <η max When , all the data to be processed are sent to the data processing module; When T x > T, η i < η max , the data to be processed is sent to the data processing module until η i = η max , and then the remaining data to be processed is sent to the cache module; When η i = η max , all the data to be processed is sent to the cache module; Among them, the data processing module is used to process data, calculate the current data processing efficiency, and feedback the processed order information to the user; In steps S30 and S40, when the order data processing efficiency reaches the maximum, send the remaining order data to be processed to the cache module for caching. Among them, the cache module contains multiple data buffer areas, and the cache data unit used to cache the order data to be processed will classify and cache the order data according to the electronic tag in the product order; when the order data processing efficiency does not reach the maximum, preferentially process the cached data, and the cache data unit will preferentially process the orders with a longer caching time in the cache area according to the electronic tag in the product order. After the order data in the cache area is processed, then process the data to be processed in the data analysis module; In steps S30 and S40, the maximum processing efficiency η of orders in the data processing unit max is calculated as follows: S301. Obtain the order data processing volume m in the data processing module per unit time, denoted as the set A1 = {m1, m2, m3,..., m p}, where m1, m2, m3,..., m p respectively represent the order data processing volume per unit time; S302. According to the system big data, calculate the order processing efficiency η within each unit time respectively, and record it as the set A2 = {η1, η2, η3,..., η p}, where η1, η2, η3,..., η p respectively represent the data order processing efficiency within each unit time; the calculation method is: where m x represents the order data processing volume in the data processing module within a specific period of time; η x represents the data order processing efficiency within a specific period of time; S303: Compare and obtain the maximum value η of the data order processing volume per unit time in the collection A2. f , which is the maximum order processing efficiency in the data processing unit; In step S50, the current data processing efficiency η in the data processing unit i is calculated as follows: Among them, m i represents the data processing volume in the data processing module within the current unit time period.

2. The data control method based on the Internet of Things according to claim 1, characterized in that: If the user hopes that the order data can be processed as soon as possible and sends an instruction, the cache data processing unit used to judge whether to send the cached data to the data processing module can preferentially process the order through the radio frequency identification electronic tag in the order.

3. A data management and control system based on the Internet of Things, applying the data management and control method based on the Internet of Things according to any one of claims 1-2, characterized in that: The system includes a data acquisition module, a data analysis module, a cache module and a data processing module; The data acquisition module is used to collect user order data, aggregate it, and send it to the data analysis module; the data analysis module is used to analyze the order data and determine how to manage the current data to be processed based on the current data processing volume and data processing efficiency; the cache module is used to cache the order data and determine when to send the cached data to the data processing end; the data processing module is used to process the data, calculate the current data processing efficiency, and feed back the processed order information to the user; The output end of the data acquisition module is connected to the input end of the data analysis module; the output end of the data analysis module is connected to the input end of the cache module; the output end of the data analysis module is connected to the input end of the data processing module; the output end of the cache module is connected to the input end of the data processing module; The data acquisition module includes a user management unit and an order data management unit; The user management unit is used to collect basic information of users; The order data management unit is used to create an order and send the order data to the data analysis module; The output end of the user management unit is connected to the input end of the order data management unit; the output end of the order data management unit is connected to the input end of the data analysis module; The data analysis module includes a data analysis unit and a data management unit; The data analysis unit is used to analyze the current data to be processed and analyze the current data processing efficiency; the data management unit is used to determine whether to send data to the cache module or the data processing module according to the current data processing situation; The output end of the data analysis unit is connected to the input end of the data management unit; the output end of the data management unit is connected to the input end of the cache module; the output end of the data management unit is connected to the input end of the data processing module; The cache module includes a cache data unit and a cache data processing unit; The cache data unit is used to cache data; the cache data processing unit is used to determine whether to send the cache data to the data processing module; The output end of the cache data unit is connected to the input end of the cache data processing unit; the output end of the cache data processing unit is connected to the input end of the data processing module; The data processing module includes a data processing unit and an order feedback unit; The data processing unit is used to process the received data, analyze the current data processing efficiency, and feed back to the data analysis unit in the data analysis module; The order feedback unit is used to feed back the processed order information to the user; The output end of the data processing unit is connected to the input end of the order feedback unit; the output end of the data processing unit is connected to the input end of the data analysis unit in the data analysis module.

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