Product life cycle evaluation system and method based on Internet of Things

Abstract

The invention discloses a product life cycle evaluation system and method based on the Internet of Things, and relates to the technical field of product evaluation, the transportation mode of a product is confirmed according to order information, and the influence result of the product storage loss uniformity on the transportation loss under the selected transportation mode is analyzed, so that the product life cycle evaluation result is obtained. The method comprises the steps that firstly, a warehouse-out scheme and a placement scheme are formulated based on the influence result, then in the transportation process, vibration data of products are monitored, when the vibration data exceed a set threshold value, product stacking data are obtained, and the deviation and damage conditions of the products are confirmed, and according to the scheme, the product warehouse-out selection accuracy is improved, loss of subsequent products in the transportation process is reduced, and the transportation efficiency is improved. Meanwhile, the condition of the product in the transportation process can be known more deeply, the protection accuracy in the transportation process is improved, the influence on the transportation efficiency is reduced, and meanwhile the safety of the product in the transportation process is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of product evaluation, and particularly relates to an Internet of Things-based product life cycle evaluation system and method. Background Art

[0002] For the product life cycle evaluation based on the Internet of Things, it is possible to collect data at all stages of the product's entire life cycle by using Internet of Things technology, including the storage stage and the transportation stage, etc., and perform data analysis to evaluate the life loss of the product. By analyzing the storage stage and the transportation stage, it can provide a reference for the selection of products out of the warehouse and the transportation plan of the enterprise, ensure the safe transportation of the product, and reduce the loss.

[0003] In the prior art, when the product is out of the warehouse and during the transportation stage, the products to be out of the warehouse are mainly selected according to the difficulty of out-of-warehouse and the length of storage time, and during the transportation stage, the vibration of the product is mainly monitored. Obviously, this kind of out-of-warehouse and transportation monitoring method has at least the following deficiencies: 1. The environment in the warehouse will affect the life of the product, but there are differences in the storage time and the environment of the products in the warehouse, so the degree of influence on the product loss is also different. In addition, different transportation plans and placement plans have different degrees of influence on products with different losses. When the transportation method has a low impact on the product life under different losses, products with different degrees of loss can be selected for transportation, but when the transportation method has a high impact on the product life under different losses, products with relatively average storage losses are selected for transportation, which can reduce the loss of the product life during transportation. However, in the prior art, there is a lack of analysis of the influence of storage loss uniformity on transportation loss, and it is impossible to provide an effective reference for the selection of products out of the warehouse, so it is impossible to reduce the loss of subsequent products during transportation.

[0004] 2. When the vibration is too large during the transportation of the product, it may cause the displacement of the product's placement position, resulting in phenomena such as extrusion between products, making the product damaged. Therefore, when the vibration is too large during the transportation, monitoring the displacement and damage of the product can more deeply understand the situation of the product during transportation, improve the accuracy of protection during transportation, reduce the impact on transportation efficiency, and at the same time ensure the safety of the product during transportation. However, in the prior art, there is a lack of further monitoring of the displacement and damage of the product after vibration, so as to increase the number of early warnings during transportation and reduce the efficiency during transportation. Summary of the Invention

[0005] Aiming at the above-mentioned existing technical deficiencies, the purpose of the present invention is to provide an Internet of Things-based product life cycle evaluation system and method.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides an Internet of Things-based product life cycle assessment system, including the following modules: a data acquisition module, configured to acquire product orders, and acquire product inventory data, transportation data, and loss data for each batch of transported products.

[0007] A transportation selection module, configured to utilize the product inventory data, transportation data, and loss data for each batch of transported products to formulate an outbound plan and a transportation plan for the product order, and provide corresponding feedback.

[0008] A transportation tracking module, configured to perform product transportation tracking when the product order is being transported, acquire tracking data for the product order, evaluate the product transportation status, and provide corresponding feedback.

[0009] In the second aspect, the present invention provides an Internet of Things-based product life cycle assessment method, including: S1. Data acquisition: Acquire product orders, and acquire product inventory data, transportation data, and loss data for each batch of transported products.

[0010] S2. Transportation selection: Utilize the product inventory data, transportation data, and loss data for each batch of transported products to formulate an outbound plan and a transportation plan for the product order, and provide corresponding feedback.

[0011] S3. Transportation tracking: When the product order is being transported, perform product transportation tracking, acquire tracking data for the product order, evaluate the product transportation status, and provide corresponding feedback.

[0012] The beneficial effects of the present invention are as follows: The present invention provides an Internet of Things-based product life cycle assessment system and method. According to the order information, the transportation method of the product is confirmed, and the influence result of the product storage loss uniformity on the transportation loss under the selected transportation method is analyzed. Then, an outbound plan and a placement plan are formulated based on the influence result. Then, during the transportation process, the vibration data of the product is monitored. When the set threshold is exceeded, the product stacking data is acquired to confirm the offset and damage conditions of the product. This solution improves the accuracy of product outbound selection, reduces the subsequent loss of products during transportation, and at the same time can more deeply understand the situation of the product during transportation, improve the accuracy of protection during transportation, reduce the impact on transportation efficiency, and ensure the safety of the product during transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0014] Figure 1 This is a schematic diagram of the connection of the system structure of the present invention.

[0015] Figure 2 This is a schematic diagram of the implementation steps flow of the method of the present invention. Detailed implementation manners

[0016] 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Embodiment 1:

[0018] Please refer to Figure 1 As shown, an Internet of Things-based product life cycle assessment system includes the following modules: a data acquisition module, a transportation selection module, a transportation tracking module, and a database.

[0019] The data acquisition module is used to obtain product orders and obtain the product inventory data, transportation data, and loss data for each batch of transportation.

[0020] It should be noted that product orders are obtained from the enterprise order management center; the product inventory data includes environmental data, extrusion data, and storage duration. A number of sensors are arranged in the warehouse to collect environmental data. The environmental sensors include temperature sensors, humidity sensors, etc. The environmental data includes temperature, humidity, etc.; the extrusion data includes the pressure exerted on the product and the contact area with other products, etc. The pressure sensor is used to collect the pressure exerted on the product by other products, and the camera is used to collect the storage images of the product. The contact area between the product and other products is obtained from the storage images. The storage time and the outbound time of the product are recorded after the product is warehoused and outbound. The time interval between the storage time and the outbound time is the storage duration.

[0021] The transportation data includes the transportation method, the placement plan, and the road condition data. When the product is being transported, the transportation method and the placement plan are recorded. At the same time, the transportation route is generated using the map software, and the real-time image of the transportation route is obtained from the map software. The road condition data is obtained from the real-time image, and the road condition data includes the route length, the number of concave areas, the total area of the concave areas, the number of convex areas, and the total area of the convex areas, etc.

[0022] The loss data includes the transportation loss coefficient. After the product transportation is completed, manual inspection is carried out to screen out the products with large life losses and unable to be used normally as loss products. The number of loss products is counted and divided by the total number of products to obtain the transportation loss coefficient.

[0023] A transportation selection module, which is used to formulate an outbound plan and a transportation plan for a product order by using the product inventory data, transportation data, and loss data of each batch of transportation, and to give corresponding feedback.

[0024] In a specific embodiment, the process of formulating the outbound plan for the product order is as follows: Obtain the storage data of each product in each batch of transportation from the product inventory data of each batch of transportation, and calculate the storage loss coefficient of each product in each batch of transportation.

[0025] Preferably, the calculation process of the storage loss coefficient of each product in each batch of transportation is as follows: Obtain the environmental data, extrusion data, and storage duration from the storage data of each product in each batch of transportation, and record them as , and , where v represents the number of each batch of transportation, v is a positive integer, and x represents the number of each product, x is a positive integer.

[0026] Using the calculation formula: , obtain the storage loss coefficient of the xth product in the vth batch of transportation. In the formula, HJ represents the preset suitable storage environment data of the product, and JY represents the preset allowable extrusion data of the product.

[0027] It should be noted that the preset suitable storage environment data and allowable extrusion data of the product are formulated by the staff after quality testing of the product after production.

[0028] Obtain the transportation method, placement plan, and road condition data of each batch of transportation from the transportation data of each batch of transportation, and obtain the transportation loss coefficient of each product after each batch of transportation from the loss data of each batch of transportation.

[0029] Obtain the product quantity and the product transportation destination from the product order. Generate the product order transportation route according to the product transportation destination. Obtain the road condition data of the product order transportation route from the map. Compare the product quantity of the product order and the road condition data of the transportation route with the product quantity range of each transportation method and the road condition data range of the transportation route in the database respectively to confirm the transportation method of the product order.

[0030] It should be noted that the enterprise staff formulate the product quantity range of each transportation method and the road condition data range of the transportation route based on the consideration of transportation cost and transportation duration. When the product quantity of the product order and the road condition data of the transportation route are respectively within the product quantity range of a certain transportation method and the road condition data range of the transportation route, it indicates that this transportation method is the transportation method of the product order.

[0031] Select each batch of transportation with the same transportation method as that of the product order as each reference batch of transportation, and then extract the storage loss coefficient, placement scheme, and transportation loss coefficient of each product in each reference batch of transportation, and calculate the influence result of the product storage loss uniformity on the transportation loss, where the influence result includes values of 1 and -1.

[0032] Preferably, the calculation process of the influence result of the product storage loss uniformity on the transportation loss is as follows: Use the storage loss coefficient in each reference batch of transportation to confirm the storage loss uniformity level of the products in each reference batch of transportation, and thus count the placement scheme and the transportation loss coefficient of each product corresponding to each storage loss uniformity level when transporting each reference batch. Accumulate the transportation loss coefficients of each product corresponding to each storage loss uniformity level when transporting each reference batch to obtain the total product transportation loss coefficient corresponding to each storage loss uniformity level when transporting each reference batch.

[0033] It should be noted that obtain the product loss coefficient corresponding to each storage loss uniformity level from the database, compare the storage loss coefficient in each reference batch of transportation with the product loss coefficient corresponding to each storage loss uniformity level to obtain the storage loss uniformity level of the products in each reference batch of transportation. When the storage loss uniformity level is larger, it indicates that the storage loss among products is more average.

[0034] In the above, the product loss coefficient corresponding to each storage loss uniformity level is set by enterprise staff.

[0035] Use the placement scheme and product transportation loss coefficient corresponding to each storage loss uniformity level when transporting each reference batch to count the total product transportation loss coefficient in each placement scheme corresponding to each storage loss uniformity level, denoted as , where y represents the number of each storage loss uniformity level, f represents the number of each placement scheme, z represents the number of each total product transportation loss coefficient, and y, f, and z are all positive integers.

[0036] Influence evaluation model expression: , where represents the influence result of the product storage loss uniformity on the transportation loss, , , respectively represent the difference rate between the total product transportation loss coefficients in the placement scheme, the difference rate between the total product transportation loss coefficients between the placement schemes, and the difference rate between the total product transportation loss coefficients between the storage loss uniformity levels; is the preset allowable difference rate, , , respectively represent the weight coefficient of the difference rate between the total product transportation loss coefficients in the set placement schemes, the weight coefficient of the difference rate of the total product transportation loss coefficients between the placement schemes, and the weight coefficient of the difference rate of the total product transportation loss coefficients between the storage loss uniformity levels.

[0037] It should be noted that the preset permitted difference rate is formulated by the enterprise staff using the enterprise's historical transportation-related data. 、 、 。

[0038] Among them, 、 、 , in the formula, represents the (z + 1)-th total product transportation loss coefficient corresponding to the f-th placement scheme in the y-th storage loss uniformity level, represents the z-th total product transportation loss coefficient corresponding to the (f + 1)-th placement scheme in the y-th storage loss uniformity level, represents the z-th total product transportation loss coefficient corresponding to the (f + 1)-th placement scheme in the (y + 1)-th storage loss uniformity level, represents the preset permitted difference of the total product transportation loss coefficient, and Y, F, and Z respectively represent the number of storage loss uniformity levels, the number of placement schemes, and the number of total product transportation loss coefficients.

[0039] It should be noted that the preset permitted difference of the total product transportation loss coefficient is formulated by the enterprise staff using the enterprise's historical transportation-related data.

[0040] When the influence result is 1, it indicates that the influence of storage loss uniformity on transportation loss is small, otherwise it indicates that the influence of storage loss uniformity on transportation loss is large.

[0041] Based on the influence result of product storage loss uniformity on transportation loss, and obtaining the storage data of each product in the inventory from the inventory record, calculate the storage loss coefficient of each product in the inventory, and confirm the outbound plan of the product order according to the order quantity in the product order.

[0042] Preferably, the process of confirming the outbound plan of the product order is as follows: when the influence result of product storage loss uniformity on transportation loss is 1, sort the storage loss coefficients of each product in the inventory from large to small in sequence, and use the sorting result as the product selection order, and then select them in sequence until the number of selected products is the same as the order quantity in the product order, and then stop selecting.

[0043] When the influence result of product storage loss uniformity on transportation loss is -1, use the analysis formula: Obtain the total product transportation loss coefficient difference rate of the y-th storage loss uniformity level , and regard each storage loss uniformity level with the total product transportation loss coefficient difference rate less than or equal to the preset allowable difference rate as each allowable storage loss uniformity level.

[0044] Obtain the product loss coefficient intervals corresponding to each allowable storage loss uniformity level from the database, then select the union as the allowable product loss coefficient interval, then regard each product in the inventory with the storage loss coefficient within the allowable product loss coefficient interval as each candidate product, sort each candidate product in descending order according to the storage loss coefficient, and regard the sorting result as the product selection order, then select them in turn until the number of selected candidate products is the same as the order quantity in the product order, and stop selecting.

[0045] If the number of candidate products is less than the order quantity in the product order, then sort the remaining products other than each candidate product in ascending order according to the difference between the storage loss coefficient and the allowable product loss coefficient interval, and then select the remaining products in turn until the sum of the number of selected candidate products and the number of remaining products is the same as the order quantity in the product order, and stop selecting. Regard the selected products as the outbound plan of the product order.

[0046] It should be noted that when the storage loss coefficient of a certain remaining product is greater than the upper limit value of the allowable product loss coefficient interval, the difference between the storage loss coefficient of the remaining product and the allowable product loss coefficient interval is the difference between the storage loss coefficient of the remaining product and the upper limit value of the allowable product transportation loss coefficient. On the contrary, when the storage loss coefficient of a certain remaining product is less than the lower limit value of the allowable product loss coefficient interval, the difference between the storage loss coefficient of the remaining product and the allowable product loss coefficient interval is the difference between the storage loss coefficient of the remaining product and the lower limit value of the allowable product transportation loss coefficient.

[0047] In another specific embodiment, the process of formulating the transportation plan for the product order is as follows: S21. When the influence result of product storage loss uniformity on transportation loss is 1, use the calculation formula: , obtain the difference rate between the total product transportation loss coefficients in the f-th placement plan , and select the placement plan with the smallest difference rate between the total product transportation loss coefficients as the target placement plan.

[0048] S22. When the influence result of product storage loss uniformity on transportation loss is -1, according to By means of the calculation method, the difference rate between the total product transportation loss coefficients in each placement plan of each allowable storage loss uniformity level is calculated, and the placement plan with the smallest difference rate between the total product transportation loss coefficients in each allowable storage loss uniformity level is selected as the target placement plan. Then, the transportation mode and the target placement plan are used as the transportation plan for the product order.

[0049] The transportation tracking module is used to track the product transportation when the product order is transported, obtain the tracking data of the product order, evaluate the product transportation status, and give corresponding feedback.

[0050] In a specific embodiment, the specific process of the product transportation tracking is as follows: Before the product transportation, the initial product stacking image is collected by using a camera, and several vibration sensors are evenly arranged among the products. Each vibration sensor detects the vibration data in real time. After the vibration data of at least one vibration sensor is greater than the preset vibration data threshold, the camera in the carriage is used to collect the product stacking image until the transportation is completed. Then, the initial product stacking image and each product stacking image during the transportation process are used as the tracking data of the product order.

[0051] In another specific embodiment, the process of evaluating the product transportation status is as follows: The initial product stacking image is extracted from the tracking data, and then the initial center point positions of each product are located from the initial product stacking image as the initial positions of each product. The center point positions of each product are obtained from each product stacking image as the positions of each product in each product stacking image, and the damage data of each product are obtained from each product stacking image, where r represents the number of each product stacking image, x represents the number of each product, and both r and x are positive integers.

[0052] According to the initial positions of each product and the positions of each product in each product stacking image, the distance between the positions of each product in each product stacking image and the initial position is obtained as the deviation distance of each product in each product stacking image. The damage data and deviation distance of each product in each product stacking image are normalized and denoted as and .

[0053] Using the transportation status evaluation model, analyze the product transportation status value. The product transportation status value includes numerical values of 1 and -1. When the product transportation status value is 1, it indicates that the product transportation status is in a stable state and the product life loss is small. On the contrary, when the product transportation status value is -1, it indicates that the product transportation status is in an unstable state and the product life loss is large.

[0054] Preferably, the expression of the transportation status evaluation model is: , where, It represents the product transportation status value, where SH and L respectively represent the preset allowable damage data and allowable deviation distance, and R and X respectively represent the number of product stacking images and the number of products.

[0055] A database for storing the product quantity intervals of each transportation mode, the road condition data intervals of the transportation routes, and the product loss coefficient intervals corresponding to each storage loss uniformity level.

[0056] Embodiment 2:

[0057] A method for evaluating the product life cycle based on the Internet of Things, including: S1. Data acquisition: Obtain product orders and obtain the product inventory data, transportation data, and loss data for each batch of transportation.

[0058] S2. Transportation selection: Utilize the product inventory data, transportation data, and loss data for each batch of transportation to formulate the outbound plan and transportation plan for the product order and give corresponding feedback.

[0059] S3. Transportation tracking: When the product order is being transported, conduct product transportation tracking, obtain the tracking data of the product order, evaluate the product transportation status, and give corresponding feedback.

[0060] In the embodiment of the present invention, according to the order information, the transportation mode of the product is confirmed, and the influence result of the storage loss uniformity of the product under the selected transportation mode on the transportation loss is analyzed. Then, based on the influence result, the outbound plan and the placement plan are formulated. Then, during the transportation process, the vibration data of the product is monitored. When the set threshold is exceeded, the product stacking data is obtained to confirm the offset and damage conditions of the product. This solution improves the accuracy of product outbound selection, reduces the loss of subsequent products during transportation, and at the same time can more deeply understand the situation of the product during transportation, improve the protection accuracy during transportation, reduce the impact on transportation efficiency, and ensure the safety of the product during transportation.

[0061] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should all fall within the protection scope of the present invention.

Claims

1. A product life cycle assessment system based on the Internet of Things, characterized in that: Includes the following modules: The data acquisition module is used to obtain product orders and obtain product inventory data, transportation data and loss data for each batch of transportation; The transportation selection module is used to use the product inventory data, transportation data and loss data of each batch of transportation to formulate the product order delivery plan and transportation plan, and provide corresponding feedback; The transportation tracking module is used to track product transportation when the product order is transported, obtain tracking data of the product order, evaluate the product transportation status, and provide corresponding feedback.

2. According to the product life cycle assessment system based on the Internet of Things in claim 1, it is characterized in that: The specific process of formulating the outbound delivery plan for product orders is as follows: Obtain storage data of each product in each batch of transportation from the product inventory data of each batch of transportation, and calculate the storage loss coefficient of each product in each batch of transportation; Obtain the transportation mode, placement plan and road condition data of each batch of transportation from the transportation data of each batch of transportation, and obtain the transportation loss coefficient of each product after each batch of transportation from the loss data of each batch of transportation; Obtain the road condition data of the product order transportation route and confirm the transportation method of the product order; use the transportation method of the product order to calculate the impact of the uniformity of product storage loss on transportation loss, where the impact results include values ​​of 1 and -1; Based on the results of the impact of product storage loss uniformity on transportation loss, and obtaining the storage data of each product in the inventory from the inventory records, calculate the storage loss coefficient of each product in the inventory, and confirm the outbound plan of the product order according to the order quantity in the product order.

3. The product life cycle assessment system based on the Internet of Things according to claim 2 is characterized in that: The calculation process of the storage loss coefficient of each product in each batch of transportation is as follows: The environmental data, extrusion data and storage time are obtained from the storage data of each product in each batch of transportation, and are recorded as , and , where v represents the number of each batch of transportation, v is a positive integer, and x represents the number of each product, x is a positive integer; Using the calculation formula: , get the storage loss coefficient of the xth product in the vth batch transportation , where HJ represents the preset suitable storage environment data of the product, and JY represents the preset allowable extrusion data of the product.

4. The product life cycle assessment system based on the Internet of Things according to claim 2 is characterized in that: The calculation process of the effect of the uniformity of product storage loss on transportation loss is as follows: The storage loss coefficients in the transportation of each reference batch are used to confirm the storage loss uniformity level of the products in the transportation of each reference batch. The placement schemes and transportation loss coefficients of each product corresponding to each storage loss uniformity level in the transportation of each reference batch are then counted and added up to obtain the total product transportation loss coefficients corresponding to each storage loss uniformity level in the transportation of each reference batch. Using the placement schemes and product transportation loss coefficients corresponding to each reference batch transportation for each storage loss uniformity level, the total product transportation loss coefficients in each placement scheme corresponding to each storage loss uniformity level are calculated and recorded as , where y represents the number of each storage loss uniformity level, f represents the number of each placement plan, and z represents the number of each total product transportation loss coefficient. y, f, and z are all positive integers. They are then input into the impact assessment model expression to output the impact of product storage loss uniformity on transportation loss.

5. The product life cycle assessment system based on the Internet of Things according to claim 4 is characterized in that: The specific process of confirming the product order outbound plan is as follows: When the result of the impact of product storage loss uniformity on transportation loss is 1, sort the storage loss coefficients of each product in the inventory from large to small, and use the sorting results as the product selection order, and then select them in sequence until the number of selected products is the same as the order quantity in the product order, then stop selecting; When the result of the impact of product storage loss uniformity on transportation loss is -1, confirm the allowable product loss coefficient range, and then use the products in the inventory whose storage loss coefficients are within the allowable product loss coefficient range as the products to be selected. Sort the products to be selected in descending order according to the storage loss coefficients, and use the sorting results as the product selection order. Then select them in sequence until the number of selected products is the same as the order quantity in the product order, and then stop selecting; If the number of products to be selected is less than the order quantity in the product order, the remaining products other than the products to be selected will be sorted in ascending order according to the difference between the storage loss coefficient and the allowable product loss coefficient interval, and then the remaining products will be selected in turn until the sum of the number of selected products and the number of remaining products is the same as the order quantity in the product order. Stop selecting and use the selected products as the delivery plan for the product order.

6. The product life cycle assessment system based on the Internet of Things according to claim 5 is characterized in that: The process of formulating a transportation plan for a product order is as follows: S21. When the result of the influence of the uniformity of product storage loss on the transportation loss is 1, the difference rate between the total product transportation loss coefficients in the placement plan is calculated using the calculation formula, and the placement plan with the smallest difference rate between the total product transportation loss coefficients is selected as the target placement plan; S22. When the impact of product storage loss uniformity on transportation loss is -1, calculate the difference rate between the total product transportation loss coefficients in each placement plan in each allowable storage loss uniformity level, select the placement plan with the smallest difference rate between the total product transportation loss coefficients as the target placement plan, and then use the transportation method and the target placement plan as the transportation plan for the product order.

7. The product life cycle assessment system based on the Internet of Things according to claim 1 is characterized in that: The specific process of product transportation tracking is as follows: Before the products are transported, a camera is used to capture the initial product stacking image, and a number of vibration sensors are evenly arranged between the products. Each vibration sensor detects vibration data in real time. When the vibration data of at least one vibration sensor is greater than a preset vibration data threshold, the camera in the car is used to capture the product stacking image until the transportation is completed. The initial product stacking image and the product stacking images during transportation are then used as tracking data for the product order.

8. The product life cycle assessment system based on the Internet of Things according to claim 1 is characterized in that: The specific process of evaluating the product transportation status is as follows: Extracting an initial product stacking image from the tracking data, then locating the initial center point position of each product from the initial product stacking image as the initial position of each product, obtaining the center point position of each product from each product stacking image as the position of each product in each product stacking image, and obtaining damage data of each product from each product stacking image, wherein r represents the number of each product stacking image, x represents the number of each product, and both r and x are positive integers; According to the initial position of each product and the position of each product in each product stacking image, the distance between the position of each product in each product stacking image and the initial position is obtained as the deviation distance of each product in each product stacking image. The damage data and deviation distance of each product in each product stacking image are normalized and recorded as and ; The transportation status evaluation model is used to analyze the product transportation status value. The product transportation status value includes the values ​​of 1 and -1. When the product transportation status value is 1, it indicates that the product transportation status is in a stable state and the product life loss is small. Conversely, when the product transportation status value is -1, it indicates that the product transportation status is in an unstable state and the product life loss is large.

9. The product life cycle assessment system based on the Internet of Things according to claim 8, characterized in that: The expression of the transportation status evaluation model is: , where It indicates the product transportation status value, SH and L indicate the preset allowable damage data and allowable deviation distance respectively, and R and X indicate the number of product stacking images and the number of products respectively.

10. A product life cycle assessment method performed by the product life cycle assessment system based on the Internet of Things according to any one of claims 1 to 9, characterized in that: include: S1. Data acquisition: obtain product orders, and obtain product inventory data, transportation data, and loss data for each batch of transportation; S2. Transportation selection: Use the product inventory data, transportation data and loss data of each batch of transportation to formulate the product order delivery plan and transportation plan, and provide corresponding feedback; S3. Transportation tracking: When the product order is transported, the product transportation tracking is carried out, the tracking data of the product order is obtained, the product transportation status is evaluated, and corresponding feedback is given.

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