Quick delivery and distribution method and distribution system for locking freshness

Abstract

The invention discloses a fast delivery distribution method and distribution system for fresh lock. The method comprises the steps that the distance from a distribution starting point to a target, road section and weather data and vehicle maximum speed data are acquired; a distribution network is established, distribution and inventory conditions are monitored and inquired through a central control terminal and a mobile terminal, and distribution road sections are analyzed and recommended by adopting an intelligent algorithm; dividing delivery areas, reserving orders on line by customers, and integrating order delivery; two delivery time periods are set, and a short message notification is automatically sent when the distance between the delivery time periods and the delivery time periods is 1 km; a temperature sensor is arranged in the heat preservation box lock to display the temperature in real time, and when the temperature is close to normal temperature, a prompt notice is sent for cooling treatment; intelligent refrigerated containers are deployed in a distribution target area, goods are taken through passwords or code scanning, and remote monitoring and locking are carried out; according to the fresh-keeping fast delivery distribution method and distribution system, logistics planning and management are optimized, the distribution reliability is improved, and it is ensured that fresh goods are still kept fresh when customers do not take away the fresh goods in time through the intelligent refrigerating box.

Description

Technical Field

[0001] The present invention belongs to the field of fresh food delivery, and in particular relates to a delivery method and a delivery system for locking in freshness and delivering quickly. Background Art

[0002] The freshness-locking and fast delivery method is a delivery strategy used to keep food fresh and deliver it to customers quickly. This method is usually used for the delivery of fresh foods, such as perishable foods such as fruits, vegetables, meat and seafood. The ingredients are strictly screened at the source to ensure their quality and freshness. At the same time, appropriate pretreatment is carried out, such as cleaning, cutting, packaging, etc., to facilitate subsequent processing and delivery. Various advanced preservation technologies are used, such as low-temperature preservation, vacuum packaging, and controlled atmosphere preservation, to extend the shelf life of ingredients and prevent them from deteriorating during transportation. By establishing an optimized distribution network and an advanced logistics management system, the rapid delivery of ingredients can be achieved. This usually involves the application of technologies such as intelligent scheduling, route optimization, and real-time monitoring to improve delivery efficiency. During the delivery process, the temperature of the ingredients is strictly controlled to ensure that they are transported at an appropriate temperature to maintain the freshness and taste of the ingredients.

[0003] However, although fresh food delivery is designed to provide fast delivery services, delivery delays or failures may occur in some cases. This may be caused by traffic jams, bad weather, delivery vehicle breakdowns or distribution center operational problems, which will affect the customer's shopping experience. Fresh food delivery that is not collected in time and is placed outdoors may result in food damage and waste. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the purpose of the present invention is to provide a method and system for effectively improving the freshness and rapid delivery of fresh goods. By improving logistics planning and management, and investing in technical infrastructure to improve the reliability of delivery, an intelligent routing algorithm is used to optimize delivery routes, provide more accurate delivery time windows, and deploy smart refrigerators to place fresh goods to ensure continued freshness when customers do not pick them up in time.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] A method for fast delivery and freshness preservation, comprising:

[0007] Obtain the distance from the current delivery starting point to the delivery destination, road condition data, real-time weather data, and the current maximum speed of the transport vehicle;

[0008] Establish a distribution network, allowing suppliers and customers to monitor and query fresh food delivery and inventory status in real time through the central control terminal and mobile terminal. Intelligent machine learning algorithms are used to analyze and recommend delivery routes based on real-time data.

[0009] Based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, suppliers integrate the order delivery based on the order and real-time road and weather data.

[0010] Set two delivery time periods: before 10 a.m. and after 5 p.m. The scheduled orders will be delivered according to the customer's delivery options, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination;

[0011] The delivery mode uses an insulated box to lock in freshness. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will alert the delivery personnel.

[0012] Delivery personnel receive a reminder notification and place the ice or cold air stored on the vehicle into an insulated box close to room temperature to cool it down. Smart refrigerated boxes are deployed in the target delivery area, which can be opened by password or code scanning to pick up the goods, and are remotely monitored and locked.

[0013] As a preferred method, the distance from the current delivery starting point to the delivery target, the road condition data, the real-time weather data, and the current maximum speed data of the transport vehicle are obtained as follows:

[0014] Use GIS technology to obtain distance data from the starting point to the target, and monitor the road conditions in real time, including traffic congestion and road construction. Obtain real-time traffic information, including road congestion and accident reports, through the API interface provided by the traffic management agency;

[0015] Obtain real-time weather temperature, humidity, and wind speed data through the API interface of the Meteorological Bureau and weather website weather service providers, and predict the weather impact during the delivery process based on real-time weather data;

[0016] The vehicle's speed status and environmental conditions can be monitored in real time through the vehicle's speed sensor and temperature sensor.

[0017] As a preferred method, a distribution network is established, where suppliers and customers can monitor and query the fresh food delivery status and inventory status in real time through the central control terminal and mobile terminal. Intelligent machine learning algorithms are used to analyze and recommend distribution routes based on real-time data:

[0018] Develop central control and mobile applications with clear and easy-to-understand interfaces to view delivery status and inventory information in real time;

[0019] Integrate real-time data, including delivery status, inventory, geographic information, traffic conditions, and weather conditions, into central control and mobile applications through API interfaces;

[0020] Using intelligent machine learning algorithms to analyze and process real-time data, the system predicts and optimizes delivery routes based on historical and real-time data. Based on the analysis results of the intelligent machine learning algorithms, the system recommends the best delivery routes to suppliers and customers.

[0021] The central control terminal and mobile terminal applications use real-time communication and data update functions to obtain the latest weather information and road information in a timely manner, and update delivery status and recommended roads.

[0022] As a preferred method, based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, suppliers integrate the order delivery based on the order and real-time road and weather data. The method is as follows:

[0023] Based on the acquired geographic information, the delivery area is divided and an online reservation order system is used. The order system includes functions such as selecting products, delivery time and address, and provides real-time inventory information and delivery fee calculation;

[0024] When a supplier receives a customer's scheduled order, they integrate the order information with real-time traffic and weather data. Based on the scheduled time and delivery address, they combine orders heading to the same area for delivery and select the optimal delivery route and time window based on real-time traffic and weather conditions.

[0025] When traffic congestion or bad weather occurs during the delivery process, suppliers can dynamically adjust the real-time routes and delivery plans through system calculation and analysis recommendations.

[0026] As a preference, two delivery time periods are set: before 10 a.m. and after 5 p.m. The scheduled orders are delivered according to the customer's delivery options, and a text message is automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination. The method is as follows:

[0027] Set two delivery time periods: before 10:00 am and after 5:00 pm. The scheduled order will be delivered according to the customer's delivery options, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination. The method is as follows:

[0028] The delivery system sets delivery time periods as before 10:00 am and after 5:00 pm. When a customer places an order, the system records the delivery option selected by the customer, including the delivery time, delivery address, and other precautions. Based on the delivery time and address selected by the customer, combined with real-time road and weather data, the system intelligently calculates and plans the delivery route.

[0029] Through the GPS tracking system on the transport vehicle, the delivery progress of the order can be tracked and displayed in real time on the application interface. By setting up the system's notification mechanism, when the order is 1 km away from the delivery target, the system will be automatically triggered and a text message notification will be sent to the customer.

[0030] As a preferred method, a delivery mode of locking in fresh food in an insulated box is adopted. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will issue a prompt to notify the delivery personnel. The method is as follows:

[0031] Install and deploy temperature sensors inside the incubator, and integrate the sensors with the incubator to transmit data in real time;

[0032] The sensor is connected to the temperature sensor in the thermal insulation box by Bluetooth wireless connection. The sensor transmits real-time temperature data to the central control system on the vehicle through Bluetooth connection.

[0033] A normal temperature threshold, i.e. the normal storage temperature range, is set in the system. When the temperature inside the insulated box approaches or exceeds the set normal temperature threshold, an alarm is automatically triggered and the delivery staff is notified through a pop-up prompt within the application.

[0034] As a preferred option, delivery personnel receive a reminder notification to place the ice or cold air stored on the vehicle into an insulated box at near room temperature for cooling. Smart refrigerated boxes are deployed in the delivery target area, which can be opened by password or code scanning to pick up the goods. The remote monitoring and locking methods are as follows:

[0035] The vehicle's central control system receives a pop-up notification that the insulated box's temperature is approaching the normal temperature threshold. Upon receiving the notification, the delivery person opens the insulated box and places ice or air conditioning, which is already on board, into it.

[0036] After putting in the cooling items, monitor the temperature changes in the box again through the temperature display interface on the vehicle's central control system;

[0037] Smart refrigerators are deployed in the target delivery area. Smart refrigerators are smart devices that are opened with passwords or by scanning codes. The delivery company monitors the temperature and status of the smart refrigerators in real time through a remote monitoring system and remotely controls the locking status of the smart refrigerators.

[0038] A distribution system for fast delivery and freshness preservation, comprising:

[0039] Data collection module, used to obtain delivery distance, road section data, real-time weather data and vehicle speed data;

[0040] The distribution network module is used to establish an online distribution network. Through the online distribution network, the distribution status and inventory status can be displayed and viewed in real time. The delivery time can be set before 10 am and after 5 pm. The machine learning algorithm is used to analyze and calculate the distribution route.

[0041] Regional order integration module, used to integrate and distribute orders in the same region;

[0042] The real-time temperature monitoring module is used to monitor the temperature inside the insulation box in real time based on the deployed sensors and display it on the vehicle's central control system interface via Bluetooth wireless connection;

[0043] The temperature warning module is used to monitor the real-time temperature of the goods in the insulated box and set the monitoring threshold. When the threshold is approached or reached, an alarm will be automatically issued. After receiving the alarm, the delivery personnel will take measures to cool down the temperature in the insulated box;

[0044] The delivery reminder and refrigerated box module is used to set the distance to the delivery target point, send SMS reminders in advance that the goods are about to be delivered, and deploy smart refrigerated boxes in the delivery target area to place fresh goods.

[0045] Another technical problem to be solved by the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method and system for fast delivery of fresh food as described above are implemented;

[0046] Another technical problem to be solved by the present invention is to provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method and system for fast delivery and freshness preservation.

[0047] The beneficial effects of the present invention are:

[0048] By acquiring delivery distance, road conditions and weather data in real time, and using intelligent machine learning algorithms to analyze and recommend delivery routes, efficient and fast delivery services can be achieved, thus improving delivery efficiency. Suppliers and customers can monitor and query the fresh-keeping delivery status and inventory status in real time through the central control terminal and mobile terminal, ensuring timely updates of order status and inventory information, thus improving service quality. Customers can issue appointment order notifications online and choose delivery time periods according to personal needs, thus improving the flexibility and convenience of delivery. The insulated box fresh-keeping delivery mode is adopted, with temperature sensors deployed internally and wirelessly connected to the vehicle via Bluetooth. This enables real-time temperature monitoring to ensure that food is transported at an appropriate temperature, thus improving the freshness and safety of food. The temperature sensor can promptly issue prompts to notify delivery personnel, who can promptly handle temperature anomalies after receiving the notification to ensure food quality. During the delivery process, the temperature and status of the smart refrigerated box are remotely monitored, and the box door can be remotely locked to ensure the safety and integrity of the food. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 The figure is a flow chart of a distribution system for fast delivery and freshness preservation according to the present invention. DETAILED DESCRIPTION

[0050] The principles and features of the present invention are described below. The examples provided are intended to illustrate the present invention only and are not intended to limit the scope of the present invention. The following paragraphs describe the present invention in more detail by way of example. The advantages and features of the present invention will become more apparent from the following description and claims.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0052] Example

[0053] A method for fast delivery and freshness preservation, comprising:

[0054] Obtain the distance from the current delivery starting point to the delivery destination, road condition data, real-time weather data, and the current maximum speed of the transport vehicle;

[0055] Establish a distribution network, allowing suppliers and customers to monitor and query fresh food delivery and inventory status in real time through the central control terminal and mobile terminal. Intelligent machine learning algorithms are used to analyze and recommend delivery routes based on real-time data.

[0056] Based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, suppliers integrate the order delivery based on the order and real-time road and weather data.

[0057] The scheduled order will be delivered according to the customer's delivery option, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination;

[0058] The delivery mode uses an insulated box to lock in freshness. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will alert the delivery personnel.

[0059] Based on the above, the delivery personnel receive a reminder notification to put the ice or air conditioning stored on the vehicle into an insulated box close to room temperature for cooling, and check the real-time temperature inside the box again when arriving at the delivery destination.

[0060] By obtaining real-time data on delivery distance, road conditions, weather, and transport vehicle speed, the delivery process becomes more accurate and efficient, helping to reduce delivery time and costs; by establishing a delivery network, suppliers and customers can monitor the fresh-keeping delivery status and inventory status in real time, analyze data through intelligent machine learning algorithms, and adjust delivery routes in a timely manner to improve the controllability and transparency of delivery; customers can issue appointment order notifications online and make appointments based on their own delivery options. At the same time, a text message will be automatically sent to the customer to notify the customer of the delivery when the delivery is 1 km away from the destination, which enhances the convenience and timeliness of delivery and improves customer experience and satisfaction; an insulated box fresh-keeping delivery mode is adopted, with temperature sensors deployed inside to monitor the temperature in real time, and wirelessly connected to the vehicle via Bluetooth. When the sensor approaches the normal temperature threshold, a prompt will be issued to notify the delivery personnel. This method can ensure the freshness and quality of the goods and enhance the value of the product.

[0061] The method to obtain the distance from the current delivery starting point to the delivery target, road condition data, real-time weather data, and the current maximum speed of the transport vehicle is:

[0062] Use GIS technology to obtain distance data from the starting point to the target, and monitor the road conditions in real time, including traffic congestion and road construction. Obtain real-time traffic information, including road congestion and accident reports, through the API interface provided by the traffic management agency;

[0063] Obtain real-time weather temperature, humidity, and wind speed data through the API interface of the Meteorological Bureau and weather website weather service providers, and predict the weather impact during the delivery process based on real-time weather data;

[0064] The vehicle's speed status and environmental conditions can be monitored in real time through the vehicle's speed sensor and temperature sensor.

[0065] By adopting GIS technology and the API interface provided by the traffic management agency, the distance data from the starting point to the destination and the road condition information, including traffic congestion and road construction, can be obtained in real time to ensure the real-time and accuracy of the delivery route; using the API interface of the meteorological bureau, meteorological website or weather service provider to obtain real-time weather data, including temperature, humidity and wind speed, etc., it is possible to timely predict the possible weather impacts during the delivery process and provide better response measures for the delivery process; by real-time monitoring of the vehicle speed status and environmental conditions, including speed sensors and temperature sensors, the delivery process can be optimized and the delivery route can be adjusted according to the real-time driving speed of the vehicle and road conditions to improve delivery efficiency and reduce delays.

[0066] Establish a distribution network, and suppliers and customers can monitor and query the fresh food delivery status and inventory status in real time through the central control terminal and mobile terminal. Using intelligent machine learning algorithms, based on the real-time data, the method of analyzing and recommending the delivery route is as follows:

[0067] Develop central control and mobile applications with clear and easy-to-understand interfaces to view delivery status and inventory information in real time;

[0068] Integrate real-time data, including delivery status, inventory, geographic information, traffic conditions, and weather conditions, into central control and mobile applications through API interfaces;

[0069] Using intelligent machine learning algorithms to analyze and process real-time data, the system predicts and optimizes delivery routes based on historical and real-time data. Based on the analysis results of the intelligent machine learning algorithms, the system recommends the best delivery routes to suppliers and customers.

[0070] The central control terminal and mobile terminal applications use real-time communication and data update functions to obtain the latest weather information and road information in a timely manner, and update delivery status and recommended roads.

[0071] Through the central control terminal and mobile applications, suppliers and customers can monitor and query delivery status and inventory status in real time, improving the transparency and controllability of the delivery process; various real-time data (such as delivery status, inventory status, geographic information, traffic conditions and weather conditions) are integrated into the central control terminal and mobile applications through API interfaces, so that relevant information can be shared between different platforms, improving the integration and utilization efficiency of information; intelligent machine learning algorithms are used to analyze and process real-time data, combined with historical data to predict and optimize delivery routes, thereby recommending the best delivery routes and improving delivery efficiency and punctuality; the central control terminal and mobile applications have real-time communication and data update functions, which can obtain the latest weather information and route information in a timely manner, update the delivery status and recommended routes at any time, and ensure the timeliness and accuracy of information.

[0072] Based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, the supplier integrates the order delivery method based on the order and real-time road and weather data as follows:

[0073] Based on the acquired geographic information, the delivery area is divided and an online reservation order system is used. The order system includes functions such as selecting products, delivery time and address, and provides real-time inventory information and delivery fee calculation;

[0074] When a supplier receives a customer's scheduled order, they integrate the order information with real-time traffic and weather data. Based on the scheduled time and delivery address, they combine orders heading to the same area for delivery and select the optimal delivery route and time window based on real-time traffic and weather conditions.

[0075] When traffic congestion or bad weather occurs during the delivery process, suppliers can dynamically adjust the real-time routes and delivery plans through system calculation and analysis recommendations.

[0076] By dividing delivery areas and integrating orders based on geographic information, as well as selecting the best delivery routes and time windows based on real-time road and weather data, delivery efficiency can be optimized and delivery time and costs can be reduced; providing an online reservation order system and real-time inventory information allows customers to easily select products, delivery times and addresses, thereby improving customer satisfaction and experience; when unexpected situations such as traffic congestion and bad weather occur during the delivery process, suppliers can dynamically adjust real-time routes and delivery plans through system calculations and analysis, respond to emergencies in a timely manner, and ensure smooth delivery; by merging orders in the same area for delivery, and selecting the best delivery routes and time windows, delivery costs can be reduced, delivery efficiency can be improved, and overall costs can be reduced.

[0077] Set two delivery time periods: before 10:00 am and after 5:00 pm. The scheduled order will be delivered according to the customer's delivery options, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination. The method is as follows:

[0078] The delivery system sets delivery time periods as before 10:00 am and after 5:00 pm. When a customer places an order, the system records the delivery option selected by the customer, including the delivery time, delivery address, and other precautions. Based on the delivery time and address selected by the customer, combined with real-time road and weather data, the system intelligently calculates and plans the delivery route.

[0079] Through the GPS tracking system on the transport vehicle, the delivery progress of the order can be tracked and displayed in real time on the application interface. By setting up the system's notification mechanism, when the order is 1 km away from the delivery target, the system will be automatically triggered and a text message notification will be sent to the customer.

[0080] By setting two delivery time periods—before 10:00 a.m. and after 5:00 p.m.—the system meets the delivery needs of different customers and improves the flexibility and convenience of delivery services. For pre-ordered orders, the system can schedule deliveries within the appropriate time period based on the customer's preferences, increasing order punctuality and satisfaction. Integrating real-time traffic and weather data, the system intelligently calculates and plans delivery routes, optimizing routes and improving delivery efficiency and accuracy. Through a GPS tracking system, delivery personnel's transport vehicles can track and display the order's delivery progress in real time on the application interface, facilitating delivery management and monitoring. When an order is 1 kilometer from its destination, the system automatically triggers and sends a text message notification to the customer, reminding them to pick up the goods, increasing the timeliness and convenience of delivery. Two delivery time periods are set within the delivery system, allowing for delivery arrangements based on the customer's preferences. Using real-time traffic and weather data, the system employs an intelligent algorithm to plan delivery routes to ensure that deliveries are completed within the specified timeframe. Delivery personnel's transport vehicles are equipped with GPS tracking systems that record vehicle location and delivery progress in real time, displaying them on the application interface. A system notification mechanism automatically triggers a text message notification when an order is 1 kilometer from its destination, reminding the customer to pick up the goods.

[0081] The delivery mode uses an insulated box to lock in freshness. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will issue a prompt to notify the delivery personnel. The method is as follows:

[0082] Install and deploy temperature sensors inside the incubator, and integrate the sensors with the incubator to transmit data in real time;

[0083] The sensor is connected to the temperature sensor in the thermal insulation box via Bluetooth wireless connection, and transmits real-time temperature data to the central control system on the vehicle through Bluetooth connection;

[0084] A normal temperature threshold, i.e. the normal storage temperature range, is set in the system. When the temperature inside the insulated box approaches or exceeds the set normal temperature threshold, an alarm is automatically triggered and the delivery staff is notified through a pop-up prompt within the application.

[0085] Temperature sensors are installed inside the insulated boxes to ensure they can accurately monitor temperature changes. These sensors wirelessly connect to the vehicle's central control system via Bluetooth, transmitting real-time temperature data. A normal temperature threshold is set in the central control system, representing the normal storage temperature range for fresh-keeping food. When the temperature inside the insulated boxes approaches or exceeds the set threshold, an alarm is automatically triggered. If the temperature is abnormal, a pop-up notification within the app notifies the delivery person, prompting them to take timely action to ensure food quality and safety.

[0086] Delivery personnel receive a notification and place the ice or cold air stored on the vehicle into an insulated box at near room temperature to cool it down. Smart coolers are deployed in the delivery target area, which can be opened and retrieved by password or code scanning. The remote monitoring and locking methods are as follows:

[0087] The vehicle's central control system receives a pop-up notification that the insulated box's temperature is approaching the normal temperature threshold. Upon receiving the notification, the delivery person opens the insulated box and places ice or air conditioning, which is already on board, into it.

[0088] After putting in the cooling items, monitor the temperature changes in the box again through the temperature display interface on the vehicle's central control system;

[0089] Smart refrigerators are deployed in the target delivery area. Smart refrigerators are smart devices that are opened with passwords or by scanning codes. The delivery company monitors the temperature and status of the smart refrigerators in real time through a remote monitoring system and remotely controls the locking status of the smart refrigerators.

[0090] By promptly receiving notifications that the temperature of the thermal box is approaching room temperature, delivery personnel can quickly take cooling measures to ensure that the food is transported at an appropriate temperature, thereby guaranteeing the freshness and safety of the food; delivery personnel can use the central control system on the vehicle to monitor the temperature changes in the thermal box in real time to ensure that the temperature is within the ideal range and guarantee the quality of the food; smart refrigerators are deployed in the target delivery area, and delivery personnel can store food in these boxes and open them with a password or by scanning a code to ensure that the food remains fresh at the destination; delivery companies can use the remote monitoring system to monitor the temperature and status of the smart refrigerators in real time and remotely control the locking status of the refrigerators to ensure food safety.

[0091] A distribution system for fast delivery and freshness preservation, comprising:

[0092] Data collection module, used to obtain delivery distance, road section data, real-time weather data and vehicle speed data;

[0093] The distribution network module is used to establish an online distribution network. Through the online distribution network, the distribution status and inventory status can be displayed and viewed in real time. The delivery time can be set before 10 am and after 5 pm. The machine learning algorithm is used to analyze and calculate the distribution route.

[0094] Regional order integration module, used to integrate and distribute orders in the same region;

[0095] The real-time temperature monitoring module is used to monitor the temperature inside the insulation box in real time based on the deployed sensors and display it on the vehicle's central control system interface via Bluetooth wireless connection;

[0096] The temperature warning module is used to monitor the real-time temperature of the goods in the insulated box and set the monitoring threshold. When the threshold is approached or reached, an alarm will be automatically issued. After receiving the alarm, the delivery personnel will take measures to cool down the temperature in the insulated box;

[0097] The delivery reminder and refrigerated box module is used to set the distance to the delivery target point, send SMS reminders in advance that the goods are about to be delivered, and deploy smart refrigerated boxes in the delivery target area to place fresh goods.

[0098] The data acquisition module can obtain delivery distance, road section data, real-time weather data, and vehicle speed data, which helps the system analyze the delivery environment and conditions in real time, thereby making more accurate delivery decisions. The distribution network module establishes an online distribution network, allowing delivery status and inventory status to be displayed and viewed in real time. The delivery time period is set to before 10:00 a.m. and after 5:00 p.m., improving the visualization and convenience of delivery. The use of machine learning algorithms to analyze and calculate delivery sections optimizes the delivery route. The regional order integration module can integrate and distribute orders in the same region, improving delivery efficiency and accuracy. The real-time temperature monitoring module uses sensors to monitor the temperature inside the insulation box in real time and displays it on the vehicle's central control system interface via Bluetooth wireless connection. The temperature warning module can set monitoring thresholds and automatically issue an alarm when the temperature approaches or reaches the threshold, ensuring the freshness and safety of the goods. The delivery reminder and refrigerated box module can send text messages in advance to remind customers that goods are about to be delivered. At the same time, smart refrigerated boxes are deployed in the delivery target area to store fresh goods, improving the timeliness of delivery and the quality of the goods.

[0099] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a method and system for fast delivery and freshness preservation as described above are implemented.

[0100] This embodiment also provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method and system for fast delivery and freshness preservation as described above are implemented.

[0101] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0102] Those skilled in the art will clearly understand that for the sake of convenience and brevity in description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0103] The above embodiments of the present invention are not intended to limit the scope of protection of the present invention, and the implementation methods of the present invention are not limited thereto. All other modifications, replacements or changes made to the above structures of the present invention based on the above contents of the present invention, in accordance with common technical knowledge and customary means in this field, without departing from the above basic technical ideas of the present invention, should fall within the scope of protection of the present invention.

Claims

1. A method for fast delivery and freshness preservation, characterized in that: Includes: Obtain the distance from the current delivery starting point to the delivery destination, road condition data, real-time weather data, and the current maximum speed of the transport vehicle; Establish a distribution network, allowing suppliers and customers to monitor and query fresh food delivery and inventory status in real time through the central control terminal and mobile terminal. Intelligent machine learning algorithms are used to analyze and recommend delivery routes based on real-time data. Based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, suppliers integrate the order delivery based on the order and real-time road and weather data. Set two delivery time periods: before 10 a.m. and after 5 p.m. The scheduled orders will be delivered according to the customer's delivery options, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination; The delivery mode uses an insulated box to lock in freshness. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will alert the delivery personnel. Delivery personnel receive a reminder notification and place the ice or cold air stored on the vehicle into an insulated box close to room temperature to cool it down. Smart refrigerated boxes are deployed in the target delivery area, which can be opened by password or code scanning to pick up the goods, and are remotely monitored and locked.

2. The method for fast delivery and freshness preservation according to claim 1, characterized in that: The method to obtain the distance from the current delivery starting point to the delivery target, road condition data, real-time weather data, and the current maximum speed of the transport vehicle is: Use GIS technology to obtain distance data from the starting point to the target, and monitor the road conditions in real time, including traffic congestion and road construction. Obtain real-time traffic information, including road congestion and accident reports, through the API interface provided by the traffic management agency; Obtain real-time weather temperature, humidity, and wind speed data through the API interface of the Meteorological Bureau and weather website weather service providers, and predict the weather impact during the delivery process based on real-time weather data; The vehicle's speed status and environmental conditions can be monitored in real time through the vehicle's speed sensor and temperature sensor.

3. The method for fast delivery and freshness preservation according to claim 2, characterized in that: Establish a distribution network, and suppliers and customers can monitor and query the fresh food delivery status and inventory status in real time through the central control terminal and mobile terminal. Using intelligent machine learning algorithms, based on the real-time data, the method of analyzing and recommending the delivery route is as follows: Develop central control and mobile applications with clear and easy-to-understand interfaces to view delivery status and inventory information in real time; Integrate real-time data, including delivery status, inventory, geographic information, traffic conditions, and weather conditions, into central control and mobile applications through API interfaces; Using intelligent machine learning algorithms to analyze and process real-time data, the system predicts and optimizes delivery routes based on historical and real-time data. Based on the analysis results of the intelligent machine learning algorithms, the system recommends the best delivery routes to suppliers and customers. The central control terminal and mobile terminal applications use real-time communication and data update functions to obtain the latest weather information and road information in a timely manner, and update delivery status and recommended roads.

4. The method for fast delivery and freshness preservation according to claim 3, characterized in that: Based on the established online delivery network, delivery areas are divided. Customers send online reservation order notifications. After receiving the reservation order, the supplier integrates the order delivery method based on the order and real-time road and weather data as follows: Based on the acquired geographic information, the delivery area is divided and an online reservation order system is used. The order system includes functions such as selecting products, delivery time and address, and provides real-time inventory information and delivery fee calculation; When a supplier receives a customer's scheduled order, they integrate the order information with real-time traffic and weather data. Based on the scheduled time and delivery address, they combine orders heading to the same area for delivery and select the optimal delivery route and time window based on real-time traffic and weather conditions. When traffic congestion or bad weather occurs during the delivery process, suppliers can dynamically adjust the real-time routes and delivery plans through system calculation and analysis recommendations.

5. The method for fast delivery and freshness preservation according to claim 4, characterized in that: Set two delivery time periods: before 10:00 am and after 5:00 pm. The scheduled order will be delivered according to the customer's delivery options, and an SMS will be automatically sent to the customer's mobile phone to notify the customer of the delivery when the order is 1 km away from the delivery destination. The method is as follows: The delivery system sets delivery time periods as before 10:00 am and after 5:00 pm. When a customer places an order, the system records the delivery option selected by the customer, including the delivery time, delivery address, and other precautions. Based on the delivery time and address selected by the customer, combined with real-time road and weather data, the system intelligently calculates and plans the delivery route. Through the GPS tracking system on the transport vehicle, the delivery progress of the order can be tracked and displayed in real time on the application interface. By setting up the system's notification mechanism, when the order is 1 km away from the delivery target, the system will be automatically triggered and a text message notification will be sent to the customer.

6. The method for fast delivery and freshness preservation according to claim 5, characterized in that: The delivery mode uses an insulated box to lock in freshness. A temperature sensor is deployed in the insulated box. The sensor is wirelessly connected to the vehicle via Bluetooth and displays the temperature in real time. When the temperature approaches the normal temperature threshold, the sensor will issue a prompt to notify the delivery personnel. The method is as follows: Install and deploy temperature sensors inside the incubator, and integrate the sensors with the incubator to transmit data in real time; The sensor is connected to the temperature sensor in the thermal insulation box via Bluetooth wireless connection, and transmits real-time temperature data to the central control system on the vehicle through Bluetooth connection; A normal temperature threshold, i.e. the normal storage temperature range, is set in the system. When the temperature inside the insulated box approaches or exceeds the set normal temperature threshold, an alarm is automatically triggered and the delivery staff is notified through a pop-up prompt within the application.

7. The method for fast delivery and freshness preservation according to claim 6, characterized in that: Delivery personnel receive a notification and place the ice or cold air stored on the vehicle into an insulated box at near room temperature to cool it down. Smart coolers are deployed in the delivery target area, which can be opened and retrieved by password or code scanning. The remote monitoring and locking methods are as follows: The vehicle's central control system receives a pop-up notification that the insulated box's temperature is approaching the normal temperature threshold. Upon receiving the notification, the delivery person opens the insulated box and places ice or air conditioning, which is already on board, into it. After putting in the cooling items, monitor the temperature changes in the box again through the temperature display interface on the vehicle's central control system; Smart refrigerators are deployed in the target delivery area. Smart refrigerators are smart devices that are opened with passwords or by scanning codes. The delivery company monitors the temperature and status of the smart refrigerators in real time through a remote monitoring system and remotely controls the locking status of the smart refrigerators.

8. A system for fast delivery and freshness preservation, characterized in that: Includes: Data collection module, used to obtain delivery distance, road section data, real-time weather data and vehicle speed data; The distribution network module is used to establish an online distribution network. Through the online distribution network, the distribution status and inventory status can be displayed and viewed in real time. The delivery time can be set before 10 am and after 5 pm. The machine learning algorithm is used to analyze and calculate the distribution route. Regional order integration module, used to integrate and distribute orders in the same region; The real-time temperature monitoring module is used to monitor the temperature inside the insulation box in real time based on the deployed sensors and display it on the vehicle's central control system interface via Bluetooth wireless connection; The temperature warning module is used to monitor the real-time temperature of the goods in the insulated box and set the monitoring threshold. When the threshold is approached or reached, an alarm will be automatically issued. After receiving the alarm, the delivery personnel will take measures to cool down the temperature in the insulated box. The delivery reminder and refrigerated box module is used to set the distance to the delivery target point, send SMS reminders in advance that the goods are about to be delivered, and deploy smart refrigerated boxes in the delivery target area to place fresh goods.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for fast delivery and fresh-keeping as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for fast fresh delivery as described in any one of claims 1 to 7 is implemented.

Images