Unmanned container operation system and operation method based on consumption data

Abstract

The invention provides an unmanned container operation system and operation method based on consumption data, and the system comprises a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit, and a safety monitoring unit. The commodity information comprises a container ID, an inventory, a commodity ID, a commodity classification ID, a commodity name, a market price, a price adjustment value and a state; the commodity dynamic management unit obtains the commodity ID stored in the container and the corresponding stock information in real time according to the container ID, calculates the market evaluation value of the commodity ID according to the market price, the price adjustment value and the stock, and synchronously updates the commodity ID and the corresponding market evaluation value in the commodity management unit, thereby achieving the dynamic adjustment of the commodity information. And the commodity dynamic management unit is also used for calculating a market evaluation total value of the container ID according to the updated commodity information.

Description

Technical Field

[0001] The present invention belongs to the field of unmanned container operation, and in particular relates to an unmanned container operation system and operation method based on consumption data. Background Art

[0002] At present, unmanned cargo containers, as a new automated retail method, have attracted widespread attention due to their convenience and low operating costs. However, although this model has been applied in places such as shopping malls, office buildings and schools, its operating system still has many technical defects and challenges, which limit its further development and popularization.

[0003] Traditional unmanned cargo lockers rely on static commodity management, and many systems are unable to update inventory data in real time, resulting in consumers often encountering out-of-stock situations when purchasing. This lag in inventory management not only affects the user experience, but also leads to the loss of sales opportunities and inhibits commodity liquidity. Secondly, the payment system of unmanned cargo lockers mostly adopts a single payment method, such as QR code payment or credit card payment, which causes certain troubles for consumers who are accustomed to diversified payment methods. In this era of digitalization and mobile payment, the lack of flexible payment options will affect users' shopping decisions, thereby reducing user satisfaction and repeat purchase rates.

[0004] The existing unmanned container operation system usually lacks the ability to conduct in-depth analysis and data mining of user consumption behavior. Although some systems can record consumption data, they fail to effectively convert this data into business intelligence, resulting in a lack of data support for operational decisions and an inability to respond to consumer needs in a timely manner, thereby releasing potential market opportunities. In addition, the security and loss prevention technology of existing unmanned containers are relatively weak, and products are susceptible to human damage or theft, resulting in loss of payment and inventory, while the existing monitoring methods are mostly post-event accountability, and cannot achieve the effect of real-time early warning and effective intervention. This not only increases the operating costs of merchants, but may also affect the brand image. Finally, the current maintenance and replenishment of unmanned containers are inefficient, and usually require regular inspections and replenishment by dedicated personnel. There is a lack of real-time monitoring and automatic replenishment mechanisms, which greatly increases the human resources and time costs of operations. Therefore, in the existing technical system, it is necessary to vigorously develop an operation management system based on consumption data to achieve dynamic inventory management, data-driven decision support, diversified payment experience and security assurance, etc., to further enhance the market competitiveness and user experience of unmanned containers. . Summary of the invention

[0005] The present invention proposes an unmanned container operation system and operation method based on consumption data to solve multiple technical problems existing in traditional container operations, especially in terms of commodity management, payment process and security monitoring. The system provides effective visual monitoring of the commodity delivery process by generating delivery detail information, helping the operator to deal with delivery problems in a timely manner and improve the overall service quality.

[0006] The technical solution of the present invention is implemented as follows: an unmanned container operation system based on consumption data includes a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit and a security monitoring unit, wherein the commodity management unit is used to set commodity information, and the commodity information includes a container ID, inventory, commodity ID, commodity classification ID, commodity name, market price, price adjustment value and status; the commodity dynamic management unit obtains the commodity ID stored in the container and its corresponding inventory information in real time according to the container ID, calculates the market evaluation price of the commodity ID according to the market price, price adjustment value and inventory, and synchronously updates the commodity ID and its corresponding market evaluation price in the commodity management unit to realize dynamic adjustment of commodity information, and the commodity dynamic management unit is also used to calculate according to the updated commodity information The total market evaluation value of the container ID; the payment management unit is used to obtain the ID of the goods stored in the container and the corresponding market evaluation price, calculate the total evaluation value of the container ID, set multiple payment codes of different amounts according to the total evaluation value, and consumers use payment codes or scan codes to pay to realize payment management of unmanned containers; the order management unit is used to receive consumers' order requests and automatically deduct fees, as well as generate order information, schedule the unmanned container corresponding to the order request to deliver goods according to the order information, update inventory information and inspect the unmanned container; the security monitoring unit is used to receive real-time images of goods delivery to generate image information, judge the arrival of goods according to the image information, and generate delivery details information based on the arrival of goods and delivery time, and the delivery details information includes delivery time details, delivered goods information and delivery results.

[0007] Traditional unmanned containers often rely on manual management, and the update of product information and inventory monitoring lack real-time performance, which makes it difficult to respond in time when replenishing and adjusting prices. This lag not only affects the sales of goods, but may also lead to a decline in consumer trust in containers. By introducing a dynamic commodity management unit, the system can obtain inventory information of goods in the container in real time, and automatically calculate the market evaluation price based on the market selling price and price adjustment value to achieve dynamic adjustment of commodity information. This mechanism ensures the timeliness and accuracy of commodity information, helps operators respond to market changes in a timely manner, and improves sales performance. Secondly, the existing payment management system generally adopts a simple scan code payment method in unmanned containers, which lacks flexibility and has a poor consumer payment experience. Through the payment management unit, the system can generate multiple payment codes of different amounts based on the market evaluation price of the goods in the container. Consumers can choose the appropriate payment method according to their needs, which improves the convenience of payment and user experience.

[0008] The introduction of the order management unit enables the system to automatically receive consumers' order requests, deduct fees in real time and generate order information. This automated management method reduces manual intervention, improves efficiency, and ensures the accuracy and timeliness of order processing. Finally, the security monitoring unit monitors the delivery process through real-time images to ensure the safety and accuracy of goods delivery. Existing technologies often lack effective monitoring methods in the goods delivery process, resulting in frequent losses and misdelivery during the delivery process.

[0009] Compared with existing technologies, this unmanned container operation system based on consumption data shows many significant differences and innovations. First, in terms of commodity management, traditional unmanned container systems often rely on static commodity information and lack the ability to dynamically update. Existing systems usually require manual intervention to adjust inventory and prices, resulting in slow response.

[0010] By introducing a dynamic commodity management unit, this system can obtain the inventory information of commodities in the container in real time, and automatically update the market evaluation price of commodities according to market conditions. This dynamic adjustment capability enables operators to quickly respond to market demand, optimize commodity structure, and improve sales efficiency. In the payment process, the existing unmanned container payment system mostly adopts a single payment method, lacks flexibility and diversity, and consumers may face inconveniences during the payment process. However, through the payment management unit, this system can generate multiple payment codes of different amounts for consumers, providing more payment options and improving user experience. This flexible payment method is not only convenient for consumers, but also enhances the attractiveness of the container. In addition, traditional order management methods usually require manual processing, which has problems of low efficiency and high error rate. The order management unit of this system realizes automated processing, which can receive consumers' order requests in real time and generate order information. This automated management method greatly improves the efficiency of order processing, reduces human errors, and ensures the accuracy and timeliness of orders.

[0011] In terms of security monitoring, existing technologies often lack effective monitoring methods in the cargo distribution process, resulting in frequent losses and misdelivery during the distribution process. The security monitoring unit of this system can generate detailed delivery details, including delivery time details, delivery item information, and delivery results, by monitoring the delivery process through real-time images. This visual monitoring method not only improves the transparency of the delivery process, but also helps operators to promptly discover and deal with delivery problems, thereby improving the overall service quality. By integrating multiple functional modules, this system achieves comprehensive coverage of commodity management, payment management, order management, and security monitoring, forming a complete multi-party integrated management platform. This system architecture design not only improves the synergy between modules, but also ensures the real-time transmission and sharing of information between different terminals, thereby improving the overall efficiency and reliability of the system.

[0012] As a preferred embodiment, it also includes a commodity early warning unit, which obtains the commodity ID and its corresponding inventory information stored in the container in real time according to the container ID, generates early warning information according to the inventory information, the commodity ID and the preset inventory, and issues a commodity inventory alarm when the early warning information exceeds a set threshold.

[0013] As a preferred embodiment, the judgment of the arrival of goods based on the image information includes: obtaining the first frame image when the container is open, and using the image as the initial image, obtaining the first frame image when the cargo transport vehicle is parked at the entrance of the container, and obtaining the first time between the initial image and the first frame image when the transport vehicle is parked at the entrance of the container; obtaining the first frame image when the unmanned container door is closed, and using the image as the closed door image, obtaining the first frame image when the unmanned container door is opened, and performing image comparison between the closed door image and the first frame image when the unmanned container door is opened to obtain a first comparison result; if the first comparison result is consistent, then the unmanned container is obtained. A second frame image when the door is closed is obtained, and the closed door image is used as the initial image, a second frame image of the cargo transport vehicle parked at the container entrance is obtained, the time between the initial image and the second frame image of the transport vehicle parked at the container entrance is obtained, and the second time is obtained. If the difference between the second time and the second time is within the threshold range, the goods arrival information is generated, and the closed door image is used as the initial image. Otherwise, the first comparison result is generated again. If the first comparison result is still consistent, the goods arrival information is generated. If the first comparison result is inconsistent, the goods arrival information is not generated; if the first comparison result is inconsistent, the goods arrival information is not generated.

[0014] As a preferred embodiment, the order management unit generates order information including: photographing the delivered goods of the unmanned container to obtain the packaging diagram of the delivered goods; photographing the appearance diagram of the delivered goods, and judging whether the appearance of the delivered goods is damaged based on the acquired information of the delivered goods, and if not damaged, generating no damage information, and the no damage information includes the packaging diagram and appearance diagram of the delivered goods; if damaged, generating damage information, and the damage information includes the packaging diagram, appearance diagram and damage content of the delivered goods.

[0015] An unmanned container operation system based on consumption data, commodity management steps: setting commodity information through the commodity management unit, including container ID, inventory, commodity ID, commodity category ID, commodity name, market price, price adjustment value and status, and regularly reviewing commodity information to ensure accuracy and timeliness;

[0016] Product dynamic management steps: In the product dynamic management unit, the product ID and its corresponding inventory information stored in the container are obtained in real time according to the container ID, and the market evaluation price of each product ID is calculated using the market price, price adjustment value and inventory, and the market evaluation price is synchronously updated to the product management unit. At the same time, the total market evaluation value of the container ID is calculated based on the updated product information to facilitate subsequent sales analysis and inventory management;

[0017] Payment management steps: In the payment management unit, obtain the ID of the goods stored in the container and its corresponding market appraisal price, calculate the total appraisal value of the container ID, and generate multiple payment codes of different amounts based on the total appraisal value. Consumers can pay by scanning the code or use the payment code to manage the payment of the unmanned container, ensuring the convenience and security of the payment process;

[0018] Order management steps: The order management unit receives the consumer's order request, the system automatically deducts the fee, and generates the corresponding order information. According to the order information, the unmanned container corresponding to the order request is dispatched for goods delivery, and the inventory information is updated at the same time. The unmanned container is inspected regularly to ensure the safety and integrity of the goods;

[0019] Safety monitoring step: In the safety monitoring unit, real-time images of cargo delivery are received and image information is generated. The cargo arrival is determined based on the image information, and delivery details are generated based on the cargo arrival and delivery time. The delivery details include delivery time details, delivery goods information, and delivery results, so as to facilitate subsequent quality tracking and service improvement;

[0020] Data analysis steps: Regularly conduct comprehensive analysis of product sales data, payment data, and order processing data to identify hot-selling products and potential slow-moving products, so as to adjust the product structure and replenishment strategy in a timely manner to ensure that the products in the container always meet the needs of consumers;

[0021] User feedback steps: Establish a consumer feedback mechanism to collect consumer feedback on products, payment processes and delivery services, handle consumer complaints and suggestions in a timely manner, and optimize the system's user experience;

[0022] System maintenance steps: Regularly maintain and upgrade the unmanned container operation system to ensure the stability and security of the system hardware and software and improve overall operational efficiency.

[0023] After adopting the above technical solution, the beneficial effect of the present invention is: through the introduction of the commodity dynamic management unit, the system can obtain the inventory information of the commodities in the container in real time, and automatically update the market evaluation price of the commodities according to the market situation. This dynamic adjustment capability enables the operator to quickly respond to market demand, optimize the commodity structure, and improve sales efficiency. For example, when the inventory of a certain commodity is low, the system can automatically adjust its market evaluation price to attract consumers to buy, thereby avoiding the backlog and waste of commodities. Secondly, the flexible payment method of the payment management unit provides consumers with more payment options and improves the user experience. Consumers can choose the appropriate payment code according to their needs, and no longer need to worry about a single payment method. This flexible payment method not only facilitates consumers, but also enhances the attractiveness of the container and improves consumer satisfaction and loyalty.

[0024] The automated processing of the order management unit has greatly improved the efficiency of order processing, reduced human errors, and ensured the accuracy and timeliness of orders. For example, the system can receive consumers' order requests in real time, automatically deduct fees and generate order information, reducing the time and cost of manual intervention. This automated management method not only improves operational efficiency, but also ensures the accuracy and timeliness of order processing, and improves the overall service quality. Furthermore, the real-time video monitoring of the security monitoring unit ensures the safety and accuracy of cargo delivery. By generating detailed delivery details, including delivery time details, delivery item information, and delivery results, operators can promptly discover and handle delivery problems, improving the overall service quality. For example, when an abnormal situation occurs during the delivery process, the system can immediately generate an alarm to help operators take timely measures to avoid losses and misdelivery.

[0025] By integrating multiple functional modules, this system achieves comprehensive coverage of commodity management, payment management, order management, and security monitoring, forming a complete multi-party integrated management platform. This system architecture design not only improves the synergy between modules, but also ensures the real-time transmission and sharing of information between different terminals, improving the overall efficiency and reliability of the system. For example, the information synchronization between the commodity dynamic management unit and the payment management unit ensures the real-time update of commodity information and the accuracy of payment, improving operational efficiency and user experience. This unmanned container operation system based on consumer data improves operational efficiency, user experience, and security by integrating advanced technical means, providing an effective solution for modern unmanned container operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0027] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Example:

[0030] like Figure 1 As shown, an unmanned container operation system based on consumption data includes a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit and a security monitoring unit, wherein the commodity management unit is used to set commodity information, wherein the commodity information includes a container ID, inventory, commodity ID, commodity classification ID, commodity name, market price, price adjustment value and status; the commodity dynamic management unit obtains the commodity ID stored in the container and its corresponding inventory information in real time according to the container ID, calculates the market evaluation price of the commodity ID according to the market price, price adjustment value and inventory, and synchronously updates the commodity ID and its corresponding market evaluation price in the commodity management unit to realize dynamic adjustment of commodity information, and the commodity dynamic management unit is also used to calculate the market evaluation price of the container ID according to the updated commodity information The payment management unit is used to obtain the ID of the goods stored in the container and the corresponding market appraisal price, calculate the total appraisal value of the container ID, set multiple payment codes of different amounts according to the total appraisal value, and consumers use payment codes or scan codes to pay to realize payment management of unmanned containers; the order management unit is used to receive consumers' order requests and automatically deduct fees, as well as generate order information, schedule the unmanned container corresponding to the order request to deliver goods according to the order information, update inventory information and inspect the unmanned container; the security monitoring unit is used to receive real-time images of goods delivery to generate image information, judge the arrival of goods according to the image information, and generate delivery details information based on the arrival of goods and delivery time, and the delivery details information includes delivery time details, delivered goods information and delivery results.

[0031] In today's rapidly developing retail environment, unmanned container systems are gradually becoming an efficient way to sell and manage goods. This technical solution specifically designs an unmanned container operation system based on consumption data, which consists of multiple modules, including a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit, and a security monitoring unit. These modules work together to achieve efficient operation and management of unmanned containers. The working principle and specific operation process of the system will be explained in detail below.

[0032] The foundation of the system is the commodity management unit. This module is responsible for setting and maintaining commodity information, including container ID, inventory, commodity ID, commodity category ID, commodity name, market price, price adjustment value and status, etc. When new commodities enter the container, the administrator enters this information through the commodity management unit and stores it in the system's database. This process ensures that the system has accurate control of commodity information and lays a good foundation for subsequent operations.

[0033] The commodity dynamic management unit is one of the core modules in the system operation. The unit obtains the commodity ID and its corresponding inventory information stored in the container in real time, and calculates the market evaluation price of each commodity based on the market selling price and price adjustment value. The system will update the calculated market evaluation price regularly or according to real-time data, and dynamically adjust the calculated market evaluation price with the information in the commodity management unit. For example, if the sales volume of a certain commodity decreases, the system can promptly lower its market evaluation price to promote sales. In addition, the unit is also responsible for calculating the total market evaluation value of the entire container, helping operators to understand the overall performance of the container in real time.

[0034] When calculating the total market evaluation value of the container ID based on the updated commodity information, the calculation formula is: where is the total market evaluation value of the Kth container ID, K is the task number, Qij is the market evaluation price of the jth category commodity ID stored in the Kth container, oK is the number of jth category commodities stored in the Kth container, and N is the total number of task numbers.

[0035] When consumers are shopping, the payment management unit plays a key role. The unit obtains the ID of the goods stored in the container and its market evaluation price, calculates the total evaluation value of the container ID based on these data, and generates multiple payment codes of different amounts for consumers to choose. When the consumer selects the required goods, the system will generate the corresponding payment code or QR code, and the consumer pays by scanning or entering the code. This process realizes efficient payment management of unmanned containers. The payment management unit also processes payment information to ensure the security and accuracy of each transaction. When the payment management unit realizes payment for unmanned containers through the payment code, it includes comparing the total amount obtained and the total evaluation value, specifically including: comparing the total amount obtained corresponding to the container ID with the total evaluation value, if the difference between the total amount and the total evaluation value is within the preset threshold range, the total amount is used as the payment amount; comparing the difference between the total amount obtained corresponding to the container ID and the total evaluation value with the preset threshold range, if the difference between the total amount and the total evaluation value is less than the preset threshold range, the sum of the difference and the total evaluation value is used as the payment amount; if the difference between the total amount and the total evaluation value is greater than the preset threshold range, the payment fails.

[0036] After receiving the consumer's order request, the order management unit will automatically deduct the fee and generate order information. The system will dispatch the corresponding unmanned container for goods delivery according to the order information and update the inventory information at the same time. In addition, the order management system also regularly inspects the unmanned containers to ensure that the goods are sufficient and operating normally. If the inventory is below the set threshold, the system will automatically issue a replenishment request to improve operational efficiency.

[0037] The security monitoring unit also plays an important role in the delivery process. The unit receives real-time images and monitors the delivery process of goods through cameras. These image information will be used to determine whether the goods arrive on time and the specific delivery situation. For example, if an abnormality occurs during the delivery process (such as the goods are not delivered or delivered to the wrong place), the monitoring unit can identify and generate alarm information in time. The monitoring unit will also generate delivery details, including delivery time details, delivery item information, and delivery results, which provide a basis for further analysis and operation optimization.

[0038] It also includes a commodity early warning unit, which obtains the commodity ID and its corresponding inventory information stored in the container in real time according to the container ID, generates early warning information according to the inventory information, the commodity ID and the preset inventory, and issues a commodity inventory alarm when the early warning information exceeds a set threshold.

[0039] The commodity early warning unit introduced in this technical solution significantly improves the intelligent management level of the unmanned container system. This unit generates early warning information by obtaining the inventory information, product ID and preset inventory of the container in real time, thereby realizing automatic monitoring of the inventory of goods. This early warning mechanism has obvious advantages over the existing technology. Traditional unmanned container systems often rely on manual regular inspections of inventory status and lack real-time monitoring methods, which not only increases management costs, but also easily leads to insufficient or excessive inventory, affecting consumers' shopping experience. The commodity early warning unit in this solution can automatically issue an alarm when the inventory level is lower than the set threshold, and promptly notify the operation management personnel to replenish the stock, thereby ensuring the normal operation of the container. This automated early warning mechanism greatly improves operational efficiency, reduces labor costs and the probability of errors, while also improving the availability of goods and enhancing consumer satisfaction.

[0040] The method of judging the arrival of goods according to the image information includes: obtaining the first frame image when the container is in an open state, and using the image as the initial image, obtaining the first frame image when the cargo transport vehicle is parked at the container entrance, and obtaining the first time between the initial image and the first frame image when the transport vehicle is parked at the container entrance; obtaining the first frame image when the unmanned container door is closed, and using the image as the closed door image, obtaining the first frame image when the unmanned container door is opened, and performing image comparison between the closed door image and the first frame image when the unmanned container door is opened to obtain a first comparison result; if the first comparison result is consistent, then obtaining the closed state of the unmanned container door The second frame image at the time of the container stop is obtained, and the closed door image is used as the initial image, and the second frame image of the cargo transport vehicle parked at the container entrance is obtained, and the time between the initial image and the second frame image of the transport vehicle parked at the container entrance is obtained to obtain the second time. If the difference between the second time and the second time is within the threshold range, the goods arrival information is generated, and the closed door image is used as the initial image. Otherwise, the first comparison result is generated again. If the first comparison result is still consistent, the goods arrival information is generated. If the first comparison result is inconsistent, the goods arrival information is not generated; if the first comparison result is inconsistent, the goods arrival information is not generated.

[0041] In the process of judging the arrival of goods by image information, this technical solution adopts an advanced image comparison technology, which significantly improves the accuracy and real-time performance of cargo distribution. This solution obtains the first frame of image when the unmanned container is opened, sets it as the initial image, and collects images when the cargo transport vehicle stops at the entrance of the container. This process covers the acquisition and comparison of multiple image frames, and ensures the accurate judgment of the arrival status of the goods through accurate recording and comparison of time. Compared with the existing technology, traditional cargo arrival monitoring methods mostly rely on manual visual inspection or simple status indication, which is prone to misjudgment or omission. This solution not only improves the accuracy of monitoring through the system's image comparison mechanism, but also reduces the interference of human factors. In addition, when the comparison results are consistent, the system can further judge the time difference, thereby providing more accurate cargo arrival information. This intelligent monitoring method not only ensures the quality of cargo distribution, but also provides a reliable basis for subsequent data analysis and decision-making.

[0042] The order management unit generates order information including: photographing the delivered goods of the unmanned container to obtain a packaging picture of the delivered goods; photographing the appearance picture of the delivered goods, and judging whether the appearance of the delivered goods is damaged based on the acquired information of the delivered goods, and if not damaged, generating no damage information, the no damage information including the packaging picture and appearance picture of the delivered goods, and if damaged, generating damage information including the packaging picture, appearance picture and damage content of the delivered goods.

[0043] In the order management unit, this technical solution introduces a mechanism for photographing and inspecting the appearance of delivered goods to ensure the condition of the goods during the delivery process. This method includes collecting the packaging and appearance pictures of the delivered goods, and judging whether the goods are damaged based on these image information. Compared with the existing technology, this method shows obvious advantages. Traditional order management systems usually rely on simple text records and lack intuitive monitoring of the actual status of the goods, which makes it easy for damage that is not discovered in time to occur during the delivery process. However, this solution can record the appearance of the delivered goods in real time through shooting technology. If there is no damage, no damage information is generated, otherwise detailed damage information is generated, including a description of the damage content. This processing method not only improves the ability to monitor the condition of the delivered goods, but also provides a basis for subsequent after-sales service, reducing disputes and losses caused by damaged goods.

[0044] An unmanned container operation system based on consumption data, commodity management steps: setting commodity information through the commodity management unit, including container ID, inventory, commodity ID, commodity category ID, commodity name, market price, price adjustment value and status, and regularly reviewing commodity information to ensure accuracy and timeliness;

[0045] Product dynamic management steps: In the product dynamic management unit, the product ID and its corresponding inventory information stored in the container are obtained in real time according to the container ID, and the market evaluation price of each product ID is calculated using the market price, price adjustment value and inventory, and the market evaluation price is synchronously updated to the product management unit. At the same time, the total market evaluation value of the container ID is calculated based on the updated product information to facilitate subsequent sales analysis and inventory management;

[0046] Payment management steps: In the payment management unit, obtain the ID of the goods stored in the container and its corresponding market appraisal price, calculate the total appraisal value of the container ID, and generate multiple payment codes of different amounts based on the total appraisal value. Consumers can pay by scanning the code or use the payment code to manage the payment of the unmanned container, ensuring the convenience and security of the payment process;

[0047] Order management steps: The order management unit receives the consumer's order request, the system automatically deducts the fee, and generates the corresponding order information. According to the order information, the unmanned container corresponding to the order request is dispatched for goods delivery, and the inventory information is updated at the same time. The unmanned container is inspected regularly to ensure the safety and integrity of the goods;

[0048] Safety monitoring step: In the safety monitoring unit, real-time images of cargo delivery are received and image information is generated. The cargo arrival is determined based on the image information, and delivery details are generated based on the cargo arrival and delivery time. The delivery details include delivery time details, delivery goods information, and delivery results, so as to facilitate subsequent quality tracking and service improvement;

[0049] Data analysis steps: Regularly conduct comprehensive analysis of product sales data, payment data, and order processing data to identify hot-selling products and potential slow-moving products, so as to adjust the product structure and replenishment strategy in a timely manner to ensure that the products in the container always meet the needs of consumers;

[0050] User feedback steps: Establish a consumer feedback mechanism to collect consumer feedback on products, payment processes and delivery services, handle consumer complaints and suggestions in a timely manner, and optimize the system's user experience;

[0051] System maintenance steps: Regularly maintain and upgrade the unmanned container operation system to ensure the stability and security of the system hardware and software and improve overall operational efficiency.

[0052] After adopting the above technical solution, the beneficial effect of the present invention is: through the introduction of the commodity dynamic management unit, the system can obtain the inventory information of the commodities in the container in real time, and automatically update the market evaluation price of the commodities according to the market situation. This dynamic adjustment capability enables the operator to quickly respond to market demand, optimize the commodity structure, and improve sales efficiency. For example, when the inventory of a certain commodity is low, the system can automatically adjust its market evaluation price to attract consumers to buy, thereby avoiding the backlog and waste of commodities. Secondly, the flexible payment method of the payment management unit provides consumers with more payment options and improves the user experience. Consumers can choose the appropriate payment code according to their needs, and no longer need to worry about a single payment method. This flexible payment method not only facilitates consumers, but also enhances the attractiveness of the container and improves consumer satisfaction and loyalty.

[0053] The automated processing of the order management unit has greatly improved the efficiency of order processing, reduced human errors, and ensured the accuracy and timeliness of orders. For example, the system can receive consumers' order requests in real time, automatically deduct fees and generate order information, reducing the time and cost of manual intervention. This automated management method not only improves operational efficiency, but also ensures the accuracy and timeliness of order processing, and improves the overall service quality. Furthermore, the real-time video monitoring of the security monitoring unit ensures the safety and accuracy of cargo delivery. By generating detailed delivery details, including delivery time details, delivery item information, and delivery results, operators can promptly discover and handle delivery problems, improving the overall service quality. For example, when an abnormal situation occurs during the delivery process, the system can immediately generate an alarm to help operators take timely measures to avoid losses and misdelivery.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An unmanned container operation system based on consumption data, characterized in that: The system comprises a commodity management unit, a commodity dynamic management unit, a payment management unit, an order management unit and a security monitoring unit. The commodity management unit is used to set commodity information, and the commodity information includes container ID, inventory, commodity ID, commodity classification ID, commodity name, market price, price adjustment value and status; the commodity dynamic management unit obtains the commodity ID stored in the container and its corresponding inventory information in real time according to the container ID, calculates the market evaluation price of the commodity ID according to the market price, price adjustment value and inventory, and synchronously updates the commodity ID and its corresponding market evaluation price in the commodity management unit to realize dynamic adjustment of commodity information. The commodity dynamic management unit is also used to calculate the total market evaluation value of the container ID according to the updated commodity information; the payment management unit The management unit is used to obtain the ID of the goods stored in the container and the corresponding market appraisal price, calculate the total appraisal value of the container ID, set multiple payment codes of different amounts according to the total appraisal value, and consumers use payment codes or scan codes to pay to realize payment management of unmanned containers; the order management unit is used to receive consumers' order requests and automatically deduct fees, as well as generate order information, schedule the unmanned container corresponding to the order request to deliver goods according to the order information, update inventory information and inspect the unmanned container; the security monitoring unit is used to receive real-time images of goods delivery to generate image information, judge the arrival of goods according to the image information, and generate delivery details information based on the arrival of goods and delivery time, and the delivery details information includes delivery time details, delivered goods information and delivery results.

2. The unmanned container operation system based on consumption data as claimed in claim 1, characterized in that: It also includes a commodity early warning unit, which obtains the commodity ID and its corresponding inventory information stored in the container in real time according to the container ID, generates early warning information according to the inventory information, the commodity ID and the preset inventory, and issues a commodity inventory alarm when the early warning information exceeds a set threshold.

3. The unmanned container operation system based on consumption data as claimed in claim 1, characterized in that: The method of judging the arrival of goods according to the image information includes: obtaining the first frame image when the container is in an open state, and using the image as the initial image, obtaining the first frame image when the cargo transport vehicle is parked at the container entrance, and obtaining the first time between the initial image and the first frame image when the transport vehicle is parked at the container entrance; obtaining the first frame image when the unmanned container door is closed, and using the image as the closed door image, obtaining the first frame image when the unmanned container door is opened, and performing image comparison between the closed door image and the first frame image when the unmanned container door is opened to obtain a first comparison result; if the first comparison result is consistent, then obtaining the closed state of the unmanned container door The second frame image at the time of the container stop is obtained, and the closed door image is used as the initial image, and the second frame image of the cargo transport vehicle parked at the container entrance is obtained, and the time between the initial image and the second frame image of the transport vehicle parked at the container entrance is obtained to obtain the second time. If the difference between the second time and the second time is within the threshold range, the goods arrival information is generated, and the closed door image is used as the initial image. Otherwise, the first comparison result is generated again. If the first comparison result is still consistent, the goods arrival information is generated. If the first comparison result is inconsistent, the goods arrival information is not generated; if the first comparison result is inconsistent, the goods arrival information is not generated.

4. The unmanned container operation system based on consumption data as claimed in claim 1, characterized in that: The order management unit generates order information including: photographing the delivered goods of the unmanned container to obtain a packaging picture of the delivered goods; photographing the appearance picture of the delivered goods, and judging whether the appearance of the delivered goods is damaged based on the acquired information of the delivered goods, and if not damaged, generating no damage information, the no damage information including the packaging picture and appearance picture of the delivered goods, and if damaged, generating damage information including the packaging picture, appearance picture and damage content of the delivered goods.

5. An unmanned container operation method based on consumption data, characterized in that: The method comprises the following steps: Product management steps: Set product information through the product management unit, including container ID, inventory, product ID, product category ID, product name, market price, price adjustment value and status, and regularly review product information to ensure accuracy and timeliness; Product dynamic management steps: In the product dynamic management unit, the product ID and its corresponding inventory information stored in the container are obtained in real time according to the container ID, and the market evaluation price of each product ID is calculated using the market price, price adjustment value and inventory, and the market evaluation price is synchronously updated to the product management unit. At the same time, the total market evaluation value of the container ID is calculated based on the updated product information to facilitate subsequent sales analysis and inventory management; Payment management steps: In the payment management unit, obtain the ID of the goods stored in the container and its corresponding market appraisal price, calculate the total appraisal value of the container ID, and generate multiple payment codes of different amounts based on the total appraisal value. Consumers can pay by scanning the code or use the payment code to manage the payment of the unmanned container, ensuring the convenience and security of the payment process; Order management steps: The order management unit receives the consumer's order request, the system automatically deducts the fee, and generates the corresponding order information. According to the order information, the unmanned container corresponding to the order request is dispatched for goods delivery, and the inventory information is updated at the same time. The unmanned container is inspected regularly to ensure the safety and integrity of the goods; Safety monitoring step: In the safety monitoring unit, real-time images of cargo delivery are received and image information is generated. The cargo arrival is determined based on the image information, and delivery details are generated based on the cargo arrival and delivery time. The delivery details include delivery time details, delivery goods information, and delivery results, so as to facilitate subsequent quality tracking and service improvement; Data analysis steps: Regularly conduct comprehensive analysis of product sales data, payment data, and order processing data to identify hot-selling products and potential slow-moving products, so as to adjust the product structure and replenishment strategy in a timely manner to ensure that the products in the container always meet the predicted demand.

Images