Vehicle-mounted agricultural product distribution process monitoring system and method

Abstract

The invention discloses a vehicle-mounted agricultural product distribution process monitoring system and method, and relates to the technical field of logistics monitoring, and the system comprises an initial scheme module which is used for obtaining distribution task information and real-time map information, and generating an initial distribution scheme; the safety scoring module is used for acquiring real-time driving data of the vehicle to obtain a product safety score of each agricultural product; the in-compartment monitoring module is used for obtaining opening and closing state data of a compartment door and height change data of vehicle suspension after the vehicle arrives at a distribution point to obtain in-compartment change data; the scheme change module is used for adjusting the initial distribution scheme according to the in-compartment change data to generate a subsequent distribution scheme; and the cloud monitoring module is used for generating a real-time delivery report and sending the real-time delivery report to a product receiver. The method has the effect of improving the monitoring efficiency and accuracy in the agricultural product distribution process.

Description

Technical Field

[0001] This application relates to the technical field of logistics monitoring, and in particular to a vehicle-mounted agricultural product distribution process monitoring system and method. Background Technology

[0002] Unsafe factors affecting agricultural product quality permeate the entire process from production to processing, packaging, storage, distribution, and sales. Establishing a comprehensive regulatory system covering all aspects of production, processing, and distribution is an effective way to ensure the safety of agricultural product quality. However, the supervision of the agricultural product distribution process is a weak link in the overall supply chain supervision.

[0003] In existing technologies, last-mile delivery of agricultural products relies on delivery personnel who rely on paper orders or delivery details displayed on their mobile phones. Although recipients can track the delivery progress on their phones or other devices, they are unaware of the actual delivery process. Unexpected events or changes to the delivery vehicle during delivery are unknown to the recipient, making the entire process opaque and hindering accurate accountability when problems arise with the agricultural products. Therefore, how to accurately and efficiently monitor the delivery process of agricultural products has become a pressing issue. Summary of the Invention

[0004] The purpose of this invention is to provide a vehicle-mounted agricultural product distribution process monitoring system and method to solve the problems mentioned in the background art.

[0005] In a first aspect, this application provides a vehicle-mounted agricultural product delivery process monitoring system, the system comprising: Initial plan module: used to acquire delivery task information and real-time map information, generate an initial route based on the delivery task information and the real-time map information, and generate an initial delivery plan by combining the initial route and the delivery task information; Safety scoring module: used to acquire real-time driving data of vehicles, score the safety of agricultural products based on the real-time driving data, and obtain a product safety score for each agricultural product; Interior monitoring module: used to acquire the opening and closing status data of the vehicle door and the height change data of the vehicle suspension after the vehicle arrives at the delivery point, and to obtain the interior change data based on the opening and closing status data and the height change data; Plan modification module: used to obtain the subsequent transportation impact of other agricultural products received in the compartment based on the change data inside the compartment, and to adjust the initial delivery plan based on the subsequent transportation impact to generate a subsequent delivery plan; Cloud monitoring module: used to upload the initial delivery plan, the product safety score, the changes in the compartment and the subsequent delivery plan to the cloud in real time, generate a real-time delivery report and send the real-time delivery report to the product recipient.

[0006] Preferably, the step of obtaining delivery task information and real-time map information, and generating an initial route based on the delivery task information and the real-time map information, specifically includes: Obtain delivery task information and real-time map information. Based on the delivery task information, obtain cargo characteristics, delivery point information, current vehicle location and vehicle type. Based on the real-time map information, obtain map route data and real-time traffic data. Based on the delivery point information, the current vehicle location, and the map route data, multiple candidate routes are obtained; Based on the cargo characteristics and the real-time traffic data, multiple candidate routes are filtered to obtain an initial route.

[0007] Preferably, after the step of filtering multiple candidate routes based on the cargo characteristics and the real-time traffic data to obtain an initial route, the method further includes: The vehicle's location is monitored to obtain real-time location data during its journey, and the vehicle is then judged to have deviated from its route based on the real-time location data. If it is determined that the vehicle has deviated from its route, an alarm will be issued to the delivery personnel, and the secondary verification location data and the reason for the route deviation uploaded by the delivery personnel through their mobile terminals will be recorded. Based on the secondary verification positioning data and the reasons for the route deviation, road status information or personnel status information is obtained; The road condition information or the personnel condition information will be uploaded, and warnings will be issued to other delivery vehicles in the future.

[0008] Preferably, the steps of acquiring real-time vehicle driving data and scoring agricultural product safety based on the real-time driving data to obtain a product safety score for each agricultural product are as follows: Obtain real-time driving data of the vehicle, and based on the real-time driving data, obtain vehicle status data and driver behavior data; Based on the vehicle status data, the vibration data and tilt change data of the carriage are obtained. Based on the vibration data and tilt change data of the carriage, the road condition safety score of the agricultural products is obtained, and a first safety score is obtained. Based on the driver behavior data, we obtain data on rapid acceleration / deceleration, low / high speed, and irregular turns. Based on the data on rapid acceleration / deceleration, low / high speed, and irregular turns, we perform a behavioral safety score on the agricultural products to obtain a second safety score. Based on the characteristics of the goods, a scoring influencing factor is generated. After substituting the scoring influencing factor into the first safety score and the second safety score, the results are integrated to generate a product safety score for each agricultural product.

[0009] Preferably, the step of acquiring the opening / closing status data of the vehicle compartment door and the height change data of the vehicle suspension after the vehicle arrives at the delivery point, and obtaining the interior change data based on the opening / closing status data and the height change data, specifically includes: Once the vehicle arrives at the delivery point, data on the opening and closing status of the vehicle's doors and changes in the vehicle's suspension height are obtained. Based on the switch status data, the opening time and opening / closing size of the carriage door are obtained, and based on the opening time and opening / closing size of the carriage door, information on changes in airflow inside the carriage is obtained. Based on the airflow change information, the impact on the storage of other agricultural products in the carriage is assessed to obtain the first storage impact value; Based on the height change data, the weight change data of the agricultural products stored in the compartment is obtained. Based on the weight change data, the impact of storing other agricultural products in the vehicle is evaluated, and a second storage impact value is obtained. By combining the first and second storage impact values, data on the changes in the compartment when other agricultural products are stored in the compartment are obtained.

[0010] Preferably, the step of obtaining the subsequent transportation impact of other agricultural products received in the compartment based on the changes in the compartment, and adjusting the initial delivery plan based on the subsequent transportation impact to generate a subsequent delivery plan, specifically includes: Based on the changes in the compartment, an assessment of the impact on the transportation of other agricultural products is conducted, including the stability and freshness during transportation, to determine the impact on subsequent transportation. Based on the impact of subsequent transportation, the change value of the delivery progress of other agricultural products is obtained, and the first adjustment parameter is generated based on the change value of the delivery progress. The second adjustment parameter is generated based on the real-time traffic data. Based on the first adjustment parameter and the second adjustment parameter, the subsequent delivery sequence, delivery time and delivery route of agricultural products are adjusted to generate a subsequent delivery plan.

[0011] Preferably, after adjusting the subsequent delivery sequence, delivery time, and delivery route of agricultural products to generate a subsequent delivery plan, the following steps are also included: The subsequent delivery process of the vehicle is monitored in real time according to the aforementioned delivery plan to obtain subsequent real-time driving data. Based on the subsequent real-time driving data and the characteristics of the cargo, a secondary safety assessment is conducted on the remaining agricultural products to obtain a secondary product safety score. The product safety score for each agricultural product is updated based on the secondary product safety score.

[0012] Preferably, the steps of uploading the initial delivery plan, the product safety score, the data on changes inside the delivery compartment, and the subsequent delivery plan to the cloud in real time, generating a real-time delivery report, and sending the real-time delivery report to the product recipient are as follows: The initial delivery plan, the product safety score, the changes inside the container, and the subsequent delivery plan are uploaded to the cloud in real time. The cloud processes the received data, generates a real-time delivery report, identifies risks in the real-time delivery report, obtains high-risk data, and marks the high-risk data as high-risk. The real-time delivery report is uploaded to the cloud for storage and simultaneously sent to the product recipient, who can then contact the delivery personnel in real time based on the report.

[0013] Secondly, this application provides a method for monitoring the process of vehicle-mounted agricultural product distribution, the method comprising: Obtain delivery task information and real-time map information, generate an initial route based on the delivery task information and the real-time map information, and generate an initial delivery plan by combining the initial route and the delivery task information; Acquire real-time driving data of vehicles, score the safety of agricultural products based on the real-time driving data, and obtain a product safety score for each agricultural product. When the vehicle arrives at the delivery point, the opening and closing status data of the vehicle compartment door and the height change data of the vehicle suspension are obtained, and the change data inside the compartment is obtained based on the opening and closing status data and the height change data. Based on the changes in the compartment, the subsequent transportation impact of other agricultural products received in the compartment is obtained, and the initial delivery plan is adjusted according to the subsequent transportation impact to generate a subsequent delivery plan; The initial delivery plan, the product safety score, the changes in the container, and the subsequent delivery plan are uploaded to the cloud in real time, and a real-time delivery report is generated and sent to the product recipient.

[0014] In summary, this application includes at least one of the following beneficial technical effects: By acquiring delivery task information and real-time map data, an initial route is constructed, and an initial delivery plan is generated. Agricultural products are then delivered according to this plan. Real-time driving data, including vehicle status and driver behavior data, is acquired during the journey. Based on this data, the safety of the agricultural products inside the vehicle is assessed, resulting in a product safety score. Upon arrival at the first delivery point, the opening and closing status of the vehicle doors and changes in height are monitored to determine changes in the air environment and weight within the vehicle, generating interior variation data. This interior variation data is used to determine the impact of subsequent transportation on other agricultural products. The initial delivery plan is then modified and adjusted based on these impacts, generating subsequent delivery plans. Finally, the initial delivery plan, product safety score, interior variation data, and subsequent delivery plans are uploaded to the cloud in real time, and a real-time delivery report is generated and sent to the product recipient. This improves the efficiency and accuracy of monitoring during agricultural product delivery. Attached Figure Description

[0015] Figure 1 This is a block diagram of a vehicle-mounted agricultural product distribution process monitoring system provided in this application.

[0016] Figure 2 This is a flowchart of the steps of a vehicle-mounted agricultural product distribution process monitoring method provided in this application.

[0017] Explanation of reference numerals in the attached diagram: 1. Initial scheme module; 2. Safety scoring module; 3. In-cabin monitoring module; 4. Scheme change module; 5. Cloud monitoring module. Detailed Implementation

[0018] The following combination Figures 1-2 This application will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0019] This application discloses a vehicle-mounted agricultural product distribution process monitoring system and method.

[0020] In this embodiment of the application, a vehicle-mounted agricultural product delivery process monitoring system is provided, the system comprising: Initial Plan Module 1: Used to obtain delivery task information and real-time map information, generate an initial route based on the delivery task information and real-time map information, and generate an initial delivery plan by combining the initial route and delivery task information; Safety scoring module 2: Used to acquire real-time vehicle driving data, score the safety of agricultural products based on the real-time driving data, and obtain the product safety score for each agricultural product; Interior monitoring module 3: It is used to obtain the opening and closing status data of the vehicle door and the height change data of the vehicle suspension after the vehicle arrives at the delivery point, and obtain the interior change data based on the opening and closing status data and the height change data. Module 4 for plan modification: It is used to obtain the subsequent transportation impact of other agricultural products received in the compartment based on the change data inside the compartment, and to adjust the initial delivery plan based on the subsequent transportation impact to generate a subsequent delivery plan; Cloud monitoring module 5: It is used to upload the initial delivery plan, product safety score, changes in the compartment and subsequent delivery plan to the cloud in real time, generate a real-time delivery report and send the real-time delivery report to the product recipient.

[0021] The steps for obtaining delivery task information and real-time map information, and generating an initial route based on the delivery task information and real-time map information, are as follows: Obtain delivery task information and real-time map information. Based on the delivery task information, obtain cargo characteristics, delivery point information, current vehicle location and vehicle type. Based on the real-time map information, obtain map route data and real-time traffic data. Based on delivery point information, current vehicle location, and map route data, multiple candidate routes are obtained; Based on cargo characteristics and real-time traffic data, multiple candidate routes are filtered to obtain an initial route.

[0022] In this application, a van transporting fresh produce has a mission: to deliver strawberries, leafy greens, and eggs from a warehouse in the east of the city to residential areas A, B, and C in the city center. The system first obtains the delivery task information. From this information, the system learns the characteristics of the goods: strawberries are fragile fruits, susceptible to damage from crushing; leafy greens require preservation; and eggs are easily broken. The system also knows the specific addresses of the three delivery points, that the vehicle is currently parked at the warehouse entrance, and that the vehicle is a medium-sized refrigerated van. Simultaneously, the system connects to a map service to obtain real-time map information. This information includes route data for all possible roads from the warehouse to the three residential areas, as well as real-time traffic data for each road at that moment, such as congestion or construction. Next, based on the locations of the three delivery points, the vehicle's current warehouse location, and the route data provided by the map, the system calculates three candidate routes that could sequentially pass through residential areas A, B, and C. Then, the system begins filtering. Considering that strawberries are susceptible to severe jolting, it prioritizes excluding routes with poor road conditions and many curves. It then observed that real-time traffic data showed severe congestion on one of the routes leading to Community B. Considering the characteristics of the goods and the real-time traffic conditions, the system ultimately selected a route with smooth and currently unobstructed traffic, setting this route as the initial delivery route.

[0023] After filtering multiple candidate routes based on cargo characteristics and real-time traffic data to obtain the initial route, the process also includes: The vehicle's location is monitored to obtain real-time location data during its journey, and the vehicle's deviation from its route is determined based on the real-time location data. If it is determined that the vehicle has deviated from its route, an alarm will be issued to the delivery personnel, and the secondary verification location data and the reason for the route deviation uploaded by the delivery personnel through their mobile terminals will be recorded. Based on the secondary verification positioning data and the reasons for route deviation, road status information or personnel status information is obtained; Upload road condition information or personnel status information and issue warnings to other delivery vehicles in the future.

[0024] In operation, the vehicle begins its journey along the generated initial route. The system continuously monitors the vehicle's location, acquiring real-time location data during its journey. When the vehicle is halfway to Community A, the system, based on the real-time location data, detects that the vehicle has not continued straight along the main road but has turned onto a side road, deviating from the preset initial route. The system immediately determines that the vehicle has deviated from its route. Therefore, the system issues a voice alert to the delivery driver via the vehicle's audio system: "Please note that you have deviated from the planned route." Simultaneously, the system records this event and awaits the driver's feedback. The driver uploads information via his mobile device in the vehicle. He uploads secondary verification location data, confirming that he is indeed on the side road. He also explains the reason for the route deviation: a sudden traffic accident occurred on the main road ahead, and the road was temporarily closed, forcing him to take a detour. Based on the driver's uploaded secondary verification location data and the reason for the detour, the system analyzes and obtains the road status information: "Main road section XX is closed due to an accident." The system immediately uploads this road status information to the cloud server. The cloud server then sent a warning to other delivery vehicles that were planning to or about to pass through the area, reminding them to avoid the section of road in advance and optimize their routes.

[0025] The steps for obtaining real-time vehicle driving data, scoring agricultural product safety based on this data, and obtaining a product safety score for each agricultural product are as follows: Obtain real-time driving data of the vehicle, and based on the real-time driving data, obtain vehicle status data and driver behavior data; Based on vehicle status data, we obtain carriage vibration data and carriage tilt change data. Based on the carriage vibration data and carriage tilt change data, we conduct road condition safety scoring on agricultural products and obtain the first safety score. Based on driver behavior data, we obtain data on rapid acceleration and deceleration, low / high speed, and irregular turns. Based on these data, we assign a behavioral safety score to agricultural products, resulting in a second safety score. Based on the characteristics of the goods, scoring influencing factors are generated. These factors are then substituted into the first and second safety scores and integrated to generate a product safety score for each agricultural product.

[0026] In operation, the system acquires real-time driving data from onboard sensors while the vehicle is in motion. This data is analyzed to obtain vehicle status data and driver behavior data. Based on the vehicle status data, the system extracts vibration data from the cargo compartment, such as detecting continuous, high-frequency, slight vibrations when the vehicle traverses uneven road surfaces. The system also extracts tilt change data, such as recording a slight backward tilt when the vehicle is going uphill. Based on this vibration and tilt change data, the system assigns a road condition safety score to the agricultural products inside the cargo compartment. Because vibration could affect the integrity of strawberries and eggs, and tilt could cause cargo displacement, the system gives a first safety score reflecting the impact of current road conditions, with a score of 85. Simultaneously, based on driver behavior data, the system extracts data on sudden acceleration and deceleration, such as detecting two instances of sudden acceleration and deceleration by the driver at an intersection to rush through a green light. The system also extracts speeding data, detecting a brief instance of the vehicle exceeding the speed limit on a certain road section. Additionally, the system extracts data on one instance of an improper turn due to excessive speed. The system assigns a behavioral safety score to agricultural products based on these sudden accelerations, decelerations, speeding, and irregular turns. Because these abrupt actions exacerbate cargo swaying, the system provides a second safety score of 78. Next, the system generates scoring influencing factors based on cargo characteristics. For example, strawberries have a high fragility factor, eggs have a high breakage factor, and leafy greens have a relatively low factor. The system substitutes these factors into the first and second safety scores for weighted calculations, and finally integrates them to generate a product safety score for each agricultural product. For example, the final product safety score for strawberries might be 80, for eggs 82, and for leafy greens 88.

[0027] Once the vehicle arrives at the delivery point, the steps for obtaining the opening / closing status data of the vehicle's cargo door and the height change data of the vehicle's suspension, and then deriving the interior change data based on the opening / closing status data and height change data, are as follows: Once the vehicle arrives at the delivery point, data on the opening and closing status of the vehicle's doors and changes in the vehicle's suspension height are obtained. Based on the switch status data, the opening time and opening size of the carriage door are obtained, and the airflow change information inside the carriage is obtained based on the opening time and opening size. Based on information on changes in airflow, the impact on the storage of other agricultural products in the carriage is assessed, and the first storage impact value is obtained. Based on the height change data, the weight change data of the agricultural products stored in the compartment is obtained. Based on the weight change data, the impact of storing other agricultural products in the vehicle is assessed, and a second storage impact value is obtained. By combining the first and second storage impact values, we can obtain data on the changes in the interior of the carriage when other agricultural products are stored.

[0028] In operation, the vehicle arrived at the first delivery point, Community A, as planned. Once the vehicle came to a stop, the system began operating. It first acquired data on the opening and closing status of the vehicle's doors; sensors recorded that the doors were opened and then closed again after a short period. The system also acquired data on the height changes of the vehicle's suspension system; sensors showed that the rear suspension height increased over a certain time period. Based on the door opening and closing data, the system calculated that the doors were open for approximately 3 minutes in total, and that they were fully open. Based on this opening time and the degree of door opening, the system inferred that during the opening period, a large amount of warm outside air flowed into the originally cool vehicle compartment, causing significant changes in the air temperature and humidity inside, thus obtaining information on changes in airflow within the compartment. Based on this information on changes in airflow, the system assessed the impact on the storage environment of the remaining agricultural products (vegetables from Community B and eggs from Community C) inside the compartment. For example, increased temperature might accelerate the wilting of vegetables, and changes in humidity might affect the preservation of eggs. Therefore, the system calculated a first storage impact value, assumed to be 6. Next, based on the vehicle's suspension height change data, the system inferred that a certain weight of cargo was unloaded during the opening of the cargo door, resulting in a lighter vehicle load and a return to normal vehicle height. Based on this height change, the system estimated that approximately 50 kg of cargo was unloaded, obtaining the weight change data for the agricultural products inside the cargo compartment. The reduced cargo weight means an alteration in the overall stability of the cargo stacking inside the compartment, potentially affecting the swaying amplitude of the remaining cargo during subsequent travel. Based on this weight change data, the system assessed the impact on the storage stability of the remaining vegetables and eggs inside the vehicle, calculating a second storage impact value, assumed to be 4. Finally, the system combined the first storage impact value 6 and the second storage impact value 4 to obtain the comprehensive data on changes within the cargo compartment when storing other agricultural products.

[0029] Based on the changes in the cargo compartment, the subsequent transportation impact of other agricultural products received within the compartment is obtained. The initial delivery plan is then adjusted based on this subsequent transportation impact to generate a subsequent delivery plan. The specific steps are as follows: Based on the data on changes inside the container, an assessment of the transportation impact on other agricultural products is conducted, including the stability and freshness during transportation, to determine the impact on subsequent transportation. Based on the impact of subsequent transportation, the change value of the delivery progress of other agricultural products is obtained, and the first adjustment parameter is generated based on the change value of the delivery progress. The second adjustment parameter is generated based on real-time traffic data. Based on the first and second adjustment parameters, the subsequent delivery sequence, delivery time and delivery route of agricultural products are adjusted to generate a subsequent delivery plan.

[0030] In practice, after completing delivery in Community A and obtaining data on changes within the delivery compartment, the system immediately begins its evaluation. Based on this data, it assesses the transportation impact on the remaining vegetables and eggs in the compartment. The evaluation focuses on two main aspects: first, the stability during transport, as reduced cargo may increase shaking; and second, the freshness of the products, as temperature fluctuations caused by opening the door may affect the quality of the vegetables. After comprehensive evaluation, the system concludes that subsequent transport has a moderate negative impact on the freshness of the vegetables and a slight impact on the stability of the eggs, thus arriving at a specific conclusion regarding the impact of subsequent transport. Next, based on this impact, the system recalculates the optimal delivery schedule for the remaining agricultural products. For example, to reduce the exposure time of the vegetables to unsuitable environments, their delivery speed needs to be accelerated; while the delivery of eggs can be slightly more relaxed. The system calculates that the delivery speed of vegetables needs to be accelerated, while the delivery speed of eggs can be maintained or delayed; this change is quantified as a delivery speed change value. Based on this delivery speed change value, the system generates a first adjustment parameter, such as "increased priority for vegetables." Meanwhile, the system re-queried real-time traffic data and discovered new congestion on the originally planned route to Community B, generating a second adjustment parameter indicating a detour was necessary. Then, based on the first and second adjustment parameters, the system dynamically adjusted the subsequent delivery sequence, delivery time, and delivery route. It might decide to change the delivery sequence from "Community B then Community C" to "Community C then Community B," or plan a faster alternative route to Community B and estimate a new estimated arrival time. Finally, the system integrated these adjustments, generated a new, optimized subsequent delivery plan, and immediately updated it to the driver's navigation device and the cloud monitoring center.

[0031] After adjusting the subsequent delivery sequence, delivery time, and delivery route of agricultural products to generate a subsequent delivery plan, the following steps are also included: Based on the subsequent delivery plan, the vehicle's subsequent delivery process is monitored in real time to obtain subsequent real-time driving data; Based on subsequent real-time driving data and cargo characteristics, a secondary safety assessment was conducted on the remaining agricultural products to obtain a secondary product safety score. The product safety score for each agricultural product is updated based on the secondary product safety score.

[0032] In practice, after completing delivery in Community B and generating a follow-up delivery plan, the system immediately begins monitoring the remaining delivery process. Following the new follow-up delivery plan, the vehicle heads to the final delivery point, Community C. On the way to Community C, the system continuously acquires real-time driving data. This data includes vehicle vibration on new road sections, such as road repairs causing strong, continuous vibrations in the cargo compartment. It also includes changes in vehicle tilt, such as slight lateral swaying when crossing a slope. The data further includes driver behavior during the final leg of the journey, such as sudden braking to avoid a pedestrian. Then, based on this real-time driving data and the characteristics of the remaining strawberries and eggs, the system conducts a second safety assessment. The system analyzes the impact of new vibration data on the strawberries and eggs, the impact of new tilt changes on cargo stability, and the impact of sudden braking. Next, combining the fragile nature of strawberries and eggs with other factors, the system calculates a new safety score for each agricultural product—a secondary product safety score. For example, the secondary product safety score for strawberries is 78 points, and the secondary product safety score for eggs is 80 points. Finally, the system uses this newly obtained secondary product safety score to update the old product safety scores obtained in the first stage of the process. The system updates the final safety score for strawberries from 80 points to 78 points, and the final safety score for eggs from 82 points to 80 points.

[0033] The steps for uploading the initial delivery plan, product safety score, in-car change data, and subsequent delivery plan to the cloud in real time, generating a real-time delivery report, and sending the real-time delivery report to the product recipient are as follows: The initial delivery plan, product safety score, data on changes inside the container, and subsequent delivery plans are uploaded to the cloud in real time. The cloud processes the received data, generates real-time delivery reports, identifies risks in the real-time delivery reports, obtains high-risk data, and marks the high-risk data as high-risk. Real-time delivery reports are uploaded to the cloud for storage and simultaneously sent to the product recipient, who can then contact the delivery personnel in real time based on the reports.

[0034] In operation, the system works continuously throughout the entire delivery process. It uploads the initial delivery plan, the calculated product safety scores for strawberries and eggs, the data on changes within the delivery compartment measured in areas A and B, and the dynamically adjusted subsequent delivery plans to the cloud server in real time. The cloud server then organizes and summarizes all this data. It chronologically analyzes route planning, changes in safety scores, changes in the delivery compartment environment, and the reasons for plan adjustments, generating a detailed real-time delivery report. Next, the cloud server performs risk identification on this report. It finds that the final safety score for the strawberries is only 78 points, below the preset safety threshold of 85 points. It also marks the sudden braking event that led to the low score and the road sections with continuous vibrations caused by road construction. The system identifies these as high-risk data and marks them in bright red in the report. Finally, the system uploads this real-time delivery report, containing all details and high-risk markings, to the cloud for permanent storage. Simultaneously, the system immediately sends this report to Mr. Zhang's mobile application in area C. Mr. Zhang can clearly see the entire delivery process and risk warnings regarding the freshness of the strawberries by opening the report. He can immediately call the delivery driver to inquire about the specific situation based on the real-time location and contact information on the report.

[0035] This invention provides a method for monitoring the delivery process of agricultural products on a vehicle, using any one of the vehicle-mounted agricultural product delivery process monitoring systems described above. The method includes the following: S100: Obtain delivery task information and real-time map information, generate an initial route based on the delivery task information and real-time map information, and generate an initial delivery plan by combining the initial route and delivery task information. S200: Acquire real-time vehicle driving data, score agricultural product safety based on the real-time driving data, and obtain a product safety score for each agricultural product; S300: When the vehicle arrives at the delivery point, it acquires the opening and closing status data of the vehicle compartment door and the height change data of the vehicle suspension, and obtains the change data inside the compartment based on the opening and closing status data and the height change data. S400: Based on the changes in the compartment, obtain the subsequent transportation impact of other agricultural products received in the compartment, and adjust the initial delivery plan according to the subsequent transportation impact to generate a subsequent delivery plan; S500: Uploads the initial delivery plan, product safety score, changes in the compartment, and subsequent delivery plan to the cloud in real time, generates a real-time delivery report, and sends the real-time delivery report to the product recipient.

[0036] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A vehicle-mounted agricultural product distribution process monitoring system characterized by comprising: The application comprises: An initial scheme module: used for obtaining delivery task information and real-time map information, generating an initial route according to the delivery task information and the real-time map information, and generating an initial delivery scheme in combination with the initial route and the delivery task information; A safety score module: used for obtaining real-time driving data of a vehicle, scoring agricultural product safety according to the real-time driving data, and obtaining product safety scores of each kind of agricultural product; A compartment monitoring module: used for obtaining opening and closing state data of a compartment door and height change data of a vehicle suspension after the vehicle arrives at a delivery point, and obtaining compartment change data according to the opening and closing state data and the height change data; A scheme change module: used for obtaining subsequent transport influences of other agricultural products received in the compartment according to the compartment change data, adjusting the initial delivery scheme according to the subsequent transport influences, and generating a subsequent delivery scheme; A cloud monitoring module: used for uploading the initial delivery scheme, the product safety scores, the compartment change data and the subsequent delivery scheme to the cloud in real time, generating a real-time delivery report, and sending the real-time delivery report to a product receiver.

2. The on-board agricultural product delivery process monitoring system of claim 1, wherein, The step of obtaining delivery task information and real-time map information, and generating an initial route according to the delivery task information and the real-time map information, specifically comprises: Obtaining delivery task information and real-time map information, obtaining goods characteristics, delivery point information, a current vehicle position and a vehicle type according to the delivery task information, and obtaining map route data and real-time traffic data according to the real-time map information; Obtaining a plurality of candidate routes according to the delivery point information, the current vehicle position and the map route data; Screening a plurality of the candidate routes according to the goods characteristics and the real-time traffic data to obtain an initial route.

3. The on-board agricultural product delivery process monitoring system of claim 2, wherein, After the step of screening a plurality of the candidate routes according to the goods characteristics and the real-time traffic data to obtain an initial route, the application further comprises: Monitoring the position of the vehicle to obtain real-time position data in the driving process of the vehicle, and judging whether the vehicle deviates from the route according to the real-time position data; If it is judged that the vehicle deviates from the route, issuing an alarm to a delivery personnel, and recording secondary verification positioning data uploaded by the delivery personnel through a mobile terminal and a route deviation reason; Obtaining road state information or personnel state information according to the secondary verification positioning data and the route deviation reason; Uploading the road state information or the personnel state information, and warning subsequent other delivery vehicles.

4. The on-board agricultural product delivery process monitoring system of claim 3, wherein, The step of obtaining real-time driving data of a vehicle, and scoring agricultural product safety according to the real-time driving data to obtain product safety scores of each kind of agricultural product, specifically comprises: Obtaining real-time driving data of a vehicle, and obtaining vehicle state data and driver behavior data according to the real-time driving data; Obtaining compartment vibration data and compartment inclination change data according to the vehicle state data, scoring road condition safety of agricultural products according to the compartment vibration data and the compartment inclination change data, and obtaining a first safety score; Based on the driver behavior data, we obtain data on rapid acceleration / deceleration, low / high speed, and irregular turns. Based on the data on rapid acceleration / deceleration, low / high speed, and irregular turns, we perform a behavioral safety score on the agricultural products to obtain a second safety score. Based on the characteristics of the goods, a scoring influence factor is generated. After substituting the scoring influence factor into the first safety score and the second safety score, the results are integrated to generate a product safety score for each agricultural product.

5. The on-board agricultural product delivery process monitoring system of claim 4, wherein, After the vehicle arrives at the delivery point, the steps for obtaining the opening / closing status data of the vehicle compartment door and the height change data of the vehicle suspension, and obtaining the interior change data based on the opening / closing status data and the height change data, are as follows: Once the vehicle arrives at the delivery point, data on the opening and closing status of the vehicle's doors and changes in the vehicle's suspension height are obtained. Based on the switch status data, the opening time and opening / closing size of the carriage door are obtained, and based on the opening time and opening / closing size of the carriage door, information on changes in airflow inside the carriage is obtained. Based on the airflow change information, the impact on the storage of other agricultural products in the carriage is assessed to obtain the first storage impact value; Based on the height change data, the weight change data of the agricultural products stored in the compartment is obtained. Based on the weight change data, the impact of storing other agricultural products in the vehicle is evaluated, and a second storage impact value is obtained. By combining the first and second storage impact values, data on the changes in the compartment when other agricultural products are stored in the compartment are obtained.

6. The on-board agricultural product delivery process monitoring system of claim 5, wherein, Based on the changes in the cargo compartment, the subsequent transportation impact of other agricultural products received within the cargo compartment is obtained. The steps for adjusting the initial delivery plan based on these subsequent transportation impacts and generating a subsequent delivery plan are as follows: Based on the changes in the compartment, an assessment of the impact on the transportation of other agricultural products is conducted, including the stability and freshness during transportation, to determine the impact on subsequent transportation. Based on the impact of subsequent transportation, the change value of the delivery progress of other agricultural products is obtained, and the first adjustment parameter is generated based on the change value of the delivery progress. The second adjustment parameter is generated based on the real-time traffic data. Based on the first adjustment parameter and the second adjustment parameter, the subsequent delivery sequence, delivery time and delivery route of agricultural products are adjusted to generate a subsequent delivery plan.

7. The on-board agricultural product delivery process monitoring system of claim 6, wherein, After adjusting the subsequent delivery sequence, delivery time, and delivery route of agricultural products to generate a subsequent delivery plan, the following steps are also included: The subsequent delivery process of the vehicle is monitored in real time according to the aforementioned delivery plan to obtain subsequent real-time driving data. Based on the subsequent real-time driving data and the characteristics of the cargo, a secondary safety assessment is conducted on the remaining agricultural products to obtain a secondary product safety score. The product safety score for each agricultural product is updated based on the secondary product safety score.

8. The on-board agricultural product delivery process monitoring system of claim 7, wherein, The steps of uploading the initial delivery plan, the product safety score, the data on changes inside the delivery compartment, and the subsequent delivery plan to the cloud in real time, generating a real-time delivery report, and sending the real-time delivery report to the product recipient are as follows: The initial delivery plan, the product safety score, the changes in the vehicle interior, and the subsequent delivery plan are uploaded to the cloud in real time. The cloud processes the received data, generates a real-time delivery report, identifies risks in the real-time delivery report to obtain high-risk data, and marks the high-risk data as high-risk. The real-time delivery report is uploaded to the cloud for storage and simultaneously sent to the product recipient, who can then contact the delivery personnel in real time based on the report.

9. A method for monitoring an agricultural product delivery process using a vehicle-mounted agricultural product delivery process monitoring system according to any one of claims 1 to 8, characterized by, The method includes: Obtain delivery task information and real-time map information, generate an initial route based on the delivery task information and the real-time map information, and generate an initial delivery plan by combining the initial route and the delivery task information; Acquire real-time driving data of vehicles, score the safety of agricultural products based on the real-time driving data, and obtain a product safety score for each agricultural product. When the vehicle arrives at the delivery point, the opening and closing status data of the vehicle compartment door and the height change data of the vehicle suspension are obtained, and the change data inside the compartment is obtained based on the opening and closing status data and the height change data. Based on the changes in the compartment, the subsequent transportation impact of other agricultural products received in the compartment is obtained, and the initial delivery plan is adjusted according to the subsequent transportation impact to generate a subsequent delivery plan; The initial delivery plan, the product safety score, the changes in the container, and the subsequent delivery plan are uploaded to the cloud in real time, and a real-time delivery report is generated and sent to the product recipient.

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