Method, System, and Computer-Readable Storage Medium for Monitoring Commodity Status

Abstract

The present invention relates to a method, a system and a computer-readable storage medium for monitoring the status of a commodity. The method for monitoring the status of a commodity includes: sampling the power supply of a commodity manufacturing device; analyzing the sampled data to obtain the name of the commodity and its production time; and obtaining the status information of the commodity based on the production time of the commodity according to the name of the commodity. The system includes: a communication module for receiving the sampled data of the power supply of the commodity manufacturing device from a power control module; a data analysis module for analyzing the sampled data to obtain the name of the commodity manufactured by the commodity manufacturing device and its production time; and a matching module for obtaining the status information of the commodity based on the production time of the commodity according to the name of the commodity. By automatically obtaining the status information of the commodity, the present invention no longer requires manual monitoring of the commodity status, saving manpower and material resources, and the monitoring is accurate and the commodity status information can be obtained quickly.

Description

Technical Field

[0001] The present invention relates to an information processing method and system, and in particular, to a method, system and computer-readable storage medium for monitoring the status of commodities. Background Art

[0002] During the process of commodity sales, it is of great significance to timely understand the status of commodities. For example, for food, its shelf life is a very crucial status information. Usually, the shelf life of food is marked by the manufacturer on the packaging bag or box according to the specific food. During sales, salespersons need to monitor the remaining shelf life of food at any time and make corresponding treatments accordingly. For some comprehensive stores, there are a wide variety of commodities, and the monitoring is difficult and complex, which brings a great workload to the operators. Summary of the Invention

[0003] In view of the technical problems existing in the prior art, the present invention proposes a method for monitoring the status of commodities, including:

[0004] Sampling the power supply of the commodity manufacturing equipment;

[0005] Analyzing the sampled data to obtain the commodity name and its production time; and

[0006] Based on the production time of the commodity, obtaining the status information of the commodity according to the commodity name.

[0007] Preferably, the step of analyzing the sampled data to obtain the commodity name specifically includes:

[0008] Calculating the output power of the power supply of the commodity manufacturing equipment according to the sampled value of the output current and the output voltage of the power supply of the commodity manufacturing equipment to obtain the power curve of the commodity manufacturing equipment;

[0009] Obtaining the corresponding commodity name according to the power curve of the commodity manufacturing equipment.

[0010] Preferably, the step of analyzing the sampled data to obtain the production time of the commodity includes:

[0011] Obtaining the sampling time from the sampled data and setting the sampling time as the production time of the commodity.

[0012] Preferably, the step of obtaining the corresponding commodity name according to the power curve of the commodity manufacturing equipment includes:

[0013] Obtaining the commodity name that matches the power curve according to the power curve of the commodity manufacturing equipment; or

[0014] Obtaining the name and working mode of the commodity manufacturing equipment according to the power curve of the commodity manufacturing equipment;

[0015] Obtain a product name that matches the power mode of the product manufacturing device according to the name of the product manufacturing device and its power mode.

[0016] Preferably, the sampling data includes the identity identifier of the power control module of the product manufacturing device. Obtain the identity identifier of the power control module from the sampling data, and obtain the name of the product manufacturing device according to the identity identifier of the power control module.

[0017] Preferably, the method for monitoring the product status further includes: determining the power mode of the product manufacturing device according to the power curve of the product manufacturing device, and determining the name of the product manufacturing device according to the power mode.

[0018] Preferably, in the method for monitoring the product status, when the set cut-off moment arrives, cut off the power supply of the product manufacturing device; and / or

[0019] When the set connection moment arrives, connect the power supply of the product manufacturing device.

[0020] According to another aspect of the present invention, a processing system for monitoring the product status is proposed, which includes:

[0021] A communication module for receiving sampling data of the power supply of the product manufacturing device from the power control module;

[0022] A data analysis module for analyzing the sampling data to obtain the name of the product manufactured by the product manufacturing device and its production time; and

[0023] A matching module for obtaining the status information of the product based on the production time of the product according to the product name.

[0024] Preferably, the data analysis module includes:

[0025] A power calculation unit for calculating the output power of the power supply of the product manufacturing device according to the sampled value of the output current and the output voltage of the power supply of the product manufacturing device, and for obtaining the power curve of the product manufacturing device;

[0026] A product name determination unit for obtaining a product name corresponding to the power curve according to the power curve.

[0027] Preferably, the product name determination unit includes:

[0028] A power mode determination subunit for determining the power mode of the product manufacturing device according to the power curve of the product manufacturing device;

[0029] A query subunit, configured to query a correspondence table between a commodity manufacturing equipment name and a power control module according to the identity identifier of the power control module in the sampling data to obtain the commodity manufacturing equipment name; or query a correspondence table between a commodity manufacturing equipment situation name and a power mode according to the power mode to obtain the commodity manufacturing equipment name;

[0030] A working mode determination subunit, configured to query a correspondence table between the working mode of the commodity manufacturing equipment and the power curve according to the power curve of the commodity manufacturing equipment and the commodity manufacturing equipment situation name to obtain the working mode of the commodity manufacturing equipment; and

[0031] A commodity name determination subunit, configured to query a correspondence table between the working mode and the commodity according to the name and the working mode of the commodity manufacturing equipment to determine the commodity name.

[0032] Preferably, the commodity is food; the status information of the commodity is the expiration moment of the food shelf life; the sampling data includes sampling moment information; the status matching table is a commodity shelf life table;

[0033] The data analysis module is configured to obtain the sampling moment information from the sampling data and set the sampling moment as the production moment of the commodity;

[0034] The matching module calculates the expiration moment of the commodity shelf life according to the commodity name, the production moment and the corresponding commodity shelf life.

[0035] Preferably, the communication module is connected to the management system of the commodity sales place and is configured to send the status information to the management system of the commodity sales place.

[0036] Preferably, the processing system for monitoring the commodity status further includes:

[0037] A reminder information generation module, configured to generate reminder information according to the status matching table of the commodity and the current status information of the commodity; wherein, the communication module sends the reminder information to the management system of the commodity sales place.

[0038] According to another aspect of the present invention, a computer-readable storage medium stores instructions executable on a computer, and when the instructions are executed on the computer, the method as described in any one of the foregoing is executed.

[0039] The present invention automatically obtains the status information of the commodity, no longer requires manual monitoring of the commodity status, saves manpower and material resources, and has accurate monitoring and rapid acquisition of the commodity status information. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Next, the preferred embodiments of the present invention will be further described in detail with reference to the drawings, wherein:

[0041] Figure 1 is a schematic block diagram of a system for monitoring the status of goods according to an embodiment of the present invention;

[0042] Figure 2 is a schematic block diagram of a power control module according to an embodiment of the present invention;

[0043] Figure 3 is a schematic block diagram of a power control module according to another embodiment of the present invention;

[0044] Figure 4 is a schematic block diagram of a system for processing and monitoring the status of goods according to an embodiment of the present invention;

[0045] Figure 5 is a schematic block diagram of a data analysis module of a system for processing and monitoring the status of goods according to an embodiment of the present invention; and

[0046] Figure 6 is a schematic diagram of a power curve according to an embodiment of the present invention. Detailed Embodiments

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. 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.

[0048] In the following detailed description, reference may be made to the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the invention may be practiced. In the drawings, like reference numerals describe substantially similar components in different views. The specific embodiments of the present invention have been described in sufficient detail below to enable those of ordinary skill in the art with relevant knowledge and technology to implement the technical solutions of the present invention. It should be understood that other embodiments may be utilized or structural, logical, or electrical changes may be made to the embodiments of the present invention.

[0049] The present invention proposes a method for monitoring the status of goods according to the production time of the goods. The status of the goods includes, but is not limited to, the remaining shelf life of the goods, the optimal utilization period of the goods, the time elapsed since the production of the goods, etc.

[0050] For some goods made on-site, the shelf life varies. Monitoring the status of such goods, such as the remaining shelf life and the optimal utilization period of the goods, is a difficult problem in the art. The present invention creatively proposes a method and system for monitoring the status of goods based on the electricity consumption of the production equipment.

[0051] Figure 1 This is a principle block diagram of a system for monitoring the status of commodities provided by the present invention. Among them, it includes a plurality of power control modules 100a. Each power control module 100a samples the power supply of a commodity manufacturing device 10a and sends the sampled data to a processing system 200a. The processing system 200a processes the sampled data to obtain the status of the commodity. The processing system 200a includes one or more processors and devices such as a memory and an I / O interface set as needed. The commodity manufacturing device 10a includes, but is not limited to, devices such as a soybean milk machine, a coffee machine, a steamer, an electric griddle, a slow cooker, etc. The power control module 100a includes, but is not limited to, devices such as a smart socket, a smart meter, an ammeter, etc.

[0052] Figure 2 This is a principle block diagram of an embodiment of the power control module. Among them, the power control module 100a includes: a data acquisition unit 101a, a microcontroller 102a, and a communication unit 103a. Among them, the data acquisition unit 101a samples the power supply of the commodity manufacturing device. Since the voltage of the power supply is a fixed mains voltage, therefore, the output current of the power supply is sampled according to a set sampling period, such as 1 s. The data acquisition unit 101a sends the sampled data to the microcontroller 102a. The microcontroller 102a provides a sampling instruction to the data acquisition unit 101a and sends the sampled data through the communication unit 103a. In this embodiment, the communication unit 103a can be a wired communication unit or a wireless network communication unit. For example, when the communication unit 103a is a WIFI unit, through the wireless network, the WIFI unit sends the sampled data to the processing system 200a. The power control module 100a has an identity identifier. While the microcontroller 102a sends the sampled data to the processing system 200a through the communication unit 103a, the identity identifier is also sent to the processing system 200a together, so that the processing system 200a knows which power control module 100a the current sampled data comes from. A power control module 100a samples the power supply of a commodity manufacturing device. Through the corresponding relationship between the identity identifier of the power control module 100a and the commodity manufacturing device, the name of the commodity manufacturing device can be known.

[0053] Furthermore, the power control module further includes a power switch 104b, such as Figure 3 As shown, the first end 104b1 of the power switch is connected to the power supply, the second end 104b2 of the power switch is connected to the commodity manufacturing device, and the control end 104b3 of the power switch is turned on or off according to the instruction of the microcontroller 102b to connect or disconnect the first end and the second end. The power switch 104b can be implemented by a power switch, such as a thyristor, etc.

[0054] The power control module further includes a real-time clock unit 105b, and the real-time clock unit 105b provides the absolute time to the microcontroller 102b. The microcontroller records the sampling time corresponding to each sampling data, and based on the sampling time, the production time of the commodity can be determined. Additionally, the microcontroller 102b outputs an on or off instruction to the power switch 104b according to the absolute time provided by the real-time clock unit 105b and the internally set time, thereby achieving the purpose of timing the turning on and off of the commodity manufacturing equipment.

[0055] In this embodiment, the specific time for turning off and on the power supply can be set within the microcontroller 102b to control the operational availability of the commodity manufacturing equipment. For example, for a soymilk maker, to control the production time of soymilk, the power supply of the soymilk maker is turned on only at a fixed time, such as 3 am every day, through the power switch 104b, and turned off at 12 noon every day, thereby setting the available production time of soymilk on the hardware and adding a measure for food preservation. Or, the microcontroller 102b receives an external instruction through the communication unit 103b and outputs a turn-off or turn-on instruction to the power switch 104b according to the external instruction. This enables the commodity manufacturing equipment to be manually controlled to start and stop at any time.

[0056] Figure 4 It is a schematic diagram of a processing system 200a according to an embodiment of the present invention. The processing system 200a includes a communication module 201a, a data analysis module 202a, and a matching module 203a. Among them, the communication module 201a receives the sampling data of the power supply of the commodity manufacturing equipment sent by the power control module 100a. The data analysis module 202a analyzes the sampling data to obtain the name of the commodity manufactured by the commodity manufacturing equipment, that is, to obtain what commodity the current sampling data corresponds to. The matching module 203a obtains the status information of the commodity based on the commodity name, the production time, and the corresponding status matching table. The status information that different commodities need to be monitored is stored inside the system. When the specific name of the currently produced commodity is known, the commodity status can be obtained by querying the corresponding table of the commodity and the status. The matching module 203a can send the obtained commodity status information to the corresponding system, such as a certain management system, through the communication module 201a for subsequent processing.

[0057] Among them, the data analysis module 202a calculates the output power of the power supply of the commodity manufacturing equipment according to the sampling value of the output current and the output voltage of the power supply of the commodity manufacturing equipment, thereby obtaining the power curve of the commodity manufacturing equipment; according to the power curve of the commodity manufacturing equipment and the commodity power template, the commodity name corresponding to the power curve is obtained. The principle block diagram is as Figure 5As shown in the figure, it includes a power calculation unit 2021a and a product name determination unit 2022a. Among them, the power calculation unit 2021a calculates the output power of the power supply for the product manufacturing equipment based on the sampled value of the output current and the output voltage of the power supply for the product manufacturing equipment, and is used to obtain the power curve of the product manufacturing equipment.

[0058] As shown in the figure, the product name determination unit 2022a obtains the product name corresponding to the power curve according to the power curve of the product manufacturing equipment and the product power template. The product power template is the power curves of multiple known products stored in the system. Using the power curves of the known products as templates, by comparing the current power curve with the power curves in the template, the product name can be obtained.

[0059] Another implementation method is that there are various power modes and their working modes of known product manufacturing equipment stored in the system. Through the currently obtained power curve, the corresponding power mode can be known, and then according to the power mode, the name and working mode of the product manufacturing equipment can be determined; thus, the product name corresponding to the current power curve can be determined.

[0060] Therefore, the product name determination unit 2022a specifically includes: a power mode determination subunit 20221a, a query subunit 20222a, a working mode determination subunit 20223a, and a product name determination subunit 20224a.

[0061] The power mode determination subunit 20221a determines the power mode of the product manufacturing equipment according to the power curve of the product manufacturing equipment. Each product manufacturing equipment corresponds to its own unique power mode. For example, the power mode of a soybean milk machine is turn on - work for 20 minutes - turn off, as shown in Table 1. The power mode of a juice machine is turn on - work for 10 seconds - turn off - work for 10 seconds - turn off - work for 10 seconds - turn off... etc. Through the power curve obtained above, information such as the start of work, working time, and turn-off of the product manufacturing equipment can be determined, and thus the power mode can be obtained.

[0062] Table 1

[0063]

[0064] The query subunit 20222a has two processing methods. One is when the sampled data contains the identity identifier of the power control module 100a (such as the power control module number in Table 2), query the correspondence table between the product manufacturing equipment name and the power control module, as shown in Table 2, to obtain the product manufacturing equipment name.

[0065] Table 2

[0066]

[0067]

[0068] Another processing method is that when there is no identity identifier of the power control module 100a in the sampled data, at this time, the power mode determination subunit 20221a is used to query the correspondence table between the name of the commodity production equipment situation and the power mode, as shown in Table 1, to obtain the name of the commodity production equipment.

[0069] The working mode determination subunit 20223a queries the correspondence table between the working mode of the commodity production equipment and the power curve according to the power curve of the commodity production equipment and the name of the commodity production equipment situation, and obtains the working mode of the commodity production equipment.

[0070] Since the same commodity production equipment may produce only one commodity or may produce multiple commodities, the current soybean milk machines with different function gears can produce different foods, such as soybean milk, rice paste, fruit juice, etc. In this embodiment, these different function gears correspond to different working modes. Soybean milk working mode, rice paste working mode, fruit juice working mode, etc. The power curves corresponding to these different working modes are different, as shown in Table 3, such as the power curve, corresponding working mode and corresponding commodity of the soybean milk machine. The soybean milk working mode is to work at 1000w for 12 minutes first, and then work at 900w for 8 minutes; the rice paste working mode is to work at 1000w for 4 minutes and 900w for 8 minutes; the fruit juice working mode is to work at 1000w for 1 minute. These power curve templates are stored in the system. By matching the obtained power curve with the said power curve template, the working mode of the current commodity production equipment can be obtained.

[0071] Table 3

[0072]

[0073] As Figure 6 shown, it is the power curve obtained according to the sampled data of a commodity production equipment. The power curve shows that the soybean milk machine first works at a power of 1000w for 12 minutes and then works at a power of 900w for 8 minutes. By comparing the working mode of the soybean milk machine, it can be known that it is currently in the soybean milk working mode. After obtaining the working mode, the commodity name determination subunit 20224a queries the correspondence between the working mode and the commodity in Table 3 according to the name of the commodity production equipment, such as the soybean milk machine, and its working mode, such as the soybean milk working mode, and then the commodity name can be determined, such as soybean milk in this example.

[0074] The matching module 203a matches and obtains the shelf life of the commodity, such as 24 hours for soybean milk, according to the commodity name, such as soybean milk, and the corresponding status matching table, such as the commodity shelf life table, as shown in Table 4.

[0075] Table 4

[0076] Product Name Shelf Life Soybean Milk 24 hours Juice 25 hours Steamed Bun 12 hours Cake 36 hours Congee 24 hours

[0077] Since the power control module adds the corresponding sampling time to the sampling data packet when sending the sampling data, the data analysis module obtains the corresponding sampling time from the sampling data packet and determines the sampling time as the production time of the product.

[0078] The matching module 203 calculates the expiration time of the product shelf life based on the production time and the corresponding product shelf life, such as xx year xx month xx day, or xx month xx day xx hour.

[0079] After the matching module 203a obtains the expiration time of the shelf life of the soy milk, it sends it to the management system of the product sales place through the communication module 201a, such as the management system of a certain store. As a practical application, the content of the message sent by the communication module 201a can be set, for example, including the product name, production time, expiration time, etc. After receiving the message, the management system can apply it to the product label, saving the editing operation. The expiration time information of the product can also be set into the system discard reminder. The operator only needs to perform the discard process of the product according to the reminder, which is simple to operate and does not require a large amount of manpower for monitoring the expiration time.

[0080] Preferably, the processing system in the present invention may further include a reminder information generation module for generating reminder information according to the product status matching table and the current status information of the product; sending the reminder information to the management system of the product sales place through the communication module, to avoid the management system of the sales place having missed operations or other phenomena, resulting in no corresponding processing at the specified time, such as performing the discard operation of the in-process food.

[0081] Those skilled in the art should understand that the above embodiments are only for illustrating the solution of the present invention and not for limiting the scope of the present invention. For example, in addition to food, the method of the present invention can also be used to monitor various other products such as cosmetics, drugs, and daily necessities made on-site. In addition to monitoring the expiration time of the product and performing the discard process of the product, various other processing methods such as product promotion, product placement change, and product sales reminder can also be performed when the product is about to expire.

[0082] The above embodiments are only for illustrating the present invention and not for limiting the present invention. Those of ordinary skill in the relevant technical field can make various changes and modifications without departing from the scope of the present invention. Therefore, all equivalent technical solutions should also fall within the scope of the disclosure of the present invention.

Claims

1. A method for automatically monitoring the status of on-site manufactured goods, wherein, Including: Sampling the power supply of the manufacturing equipment for the on-site manufactured goods at a preset period; Analyzing the sampled data to obtain the name of the on-site manufactured goods and its production time. Among them, according to the sampled value of the output current and the output voltage of the power supply of the goods manufacturing equipment, calculate the output power of the power supply of the goods manufacturing equipment to obtain the power curve of the goods manufacturing equipment; obtain the corresponding goods name according to the power curve of the goods manufacturing equipment; Obtain the status information of the on-site manufactured goods according to the name of the on-site manufactured goods and the production time.

2. The method according to claim 1, wherein, The step of analyzing the sampled data to obtain the production time of the goods includes: Obtain the sampling time from the sampled data and set the sampling time as the production time of the goods.

3. The method according to claim 1, wherein The step of obtaining the corresponding goods name according to the power curve of the goods manufacturing equipment includes: Obtain the goods name matching the power curve according to the power curve of the goods manufacturing equipment; or Obtain the name of the goods manufacturing equipment and its working mode according to the power curve of the goods manufacturing equipment; Obtain the goods name matching the power mode of the goods manufacturing equipment according to the name of the goods manufacturing equipment and its power mode.

4. The method according to claim 1, wherein, The sampled data includes the identity identifier of the power control module of the goods manufacturing equipment. Obtain the identity identifier of the power control module from the sampled data and obtain the name of the goods manufacturing equipment according to the identity identifier of the power control module.

5. The method according to claim 3, further comprising: Determine the power mode of the goods manufacturing equipment according to the power curve of the goods manufacturing equipment, and determine the name of the goods manufacturing equipment according to the power mode.

6. The method according to claim 1, wherein, When the set cut-off time arrives, cut off the power supply of the goods manufacturing equipment; and / or When the set on time arrives, turn on the power supply of the goods manufacturing equipment.

7. An automatic monitoring system for commodity status, wherein, Including: A communication module for receiving the sampled data of the power supply of the manufacturing equipment for the on-site manufactured goods from the power control module; A data analysis module for analyzing the sampled data to obtain the name of the goods manufactured by the manufacturing equipment for the on-site manufactured goods and its production time; And A matching module for obtaining the status information of the on-site manufactured goods according to the goods name based on the production time of the on-site manufactured goods; Among them, the data analysis module includes: A power calculation unit for calculating the output power of the power supply of the goods manufacturing equipment according to the sampled value of the output current and the output voltage of the power supply of the goods manufacturing equipment, and used to obtain the power curve of the goods manufacturing equipment; A goods name determination unit for obtaining the goods name corresponding to the power curve according to the power curve.

8. The processing system according to claim 7, wherein the goods name determination unit includes: A power mode determination subunit for determining the power mode of the goods manufacturing equipment according to the power curve of the goods manufacturing equipment; A query subunit for querying the correspondence table between the name of the goods manufacturing equipment and the power control module according to the identity identifier of the power control module in the sampled data to obtain the name of the goods manufacturing equipment; or querying the correspondence table between the name of the goods manufacturing equipment situation and the power mode according to the power mode to obtain the name of the goods manufacturing equipment; A working mode determination subunit, configured to query a correspondence table between the working mode and the power curve of the commodity manufacturing device according to the power curve of the commodity manufacturing device and the name of the commodity manufacturing device situation, and obtain the working mode of the commodity manufacturing device; and A commodity name determination subunit, configured to query a correspondence table between the working mode and the commodity according to the name and the working mode of the commodity manufacturing device, and determine the commodity name.

9. The processing system according to claim 7, wherein, The commodity is food; the status information of the commodity is the expiration time of the food shelf life; the sampling data includes sampling time information; the status matching table is a commodity shelf life table; The data analysis module is configured to obtain sampling time information from the sampling data, and set the sampling time as the production time of the commodity; The matching module calculates the expiration time of the commodity shelf life according to the commodity name, the production time and the corresponding commodity shelf life.

10. The processing system according to claim 7, wherein, The communication module is connected to the management system of the commodity sales place, and is configured to send the status information to the management system of the commodity sales place.

11. The processing system according to claim 7, wherein, It further includes: A reminder information generation module, configured to generate reminder information according to the status matching table of the commodity and the current status information of the commodity; wherein, the communication module sends the reminder information to the management system of the commodity sales place.

12. A computer-readable storage medium, which stores instructions executable on a computer, and when the instructions are executed on the computer, the method described in any one of claims 1-6 is executed.

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