CN111754012A

CN111754012A - Product transportation information processing method, device and system

Info

Publication number: CN111754012A
Application number: CN201910230857.5A
Authority: CN
Inventors: 马云飞; 霍德洪; 魏文正; 刘洪强
Original assignee: Alibaba Group Holding Ltd
Current assignee: Hema China Co Ltd
Priority date: 2019-03-26
Filing date: 2019-03-26
Publication date: 2020-10-09

Abstract

The embodiment of the application discloses a method, a device and a system for processing product transportation information, wherein the system comprises the following steps: the vehicle-mounted information acquisition system comprises a sensor module, a data processing module and a data processing module, wherein the sensor module is used for acquiring parameter information in a container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product; the information transmission module is used for submitting the information acquisition result of the sensor module to a first service end and carrying associated vehicle identification information and container identification; and the first service end is used for judging whether the supply needs to be increased for the product or not according to a plurality of information acquisition results corresponding to the same vehicle identification, and if so, carrying out corresponding processing. Through this application embodiment, can be avoiding endangering under public safety or the food safety's the condition, reduce the loss rate of living bright product in the transportation.

Description

Product transportation information processing method, device and system

Technical Field

The application relates to the technical field of transportation and processing of fresh products, in particular to a method, a device and a system for processing product transportation information.

Background

In the 'new retail' mode, the commodity information service system does not provide services for the user only through an online website or an application program, but is combined with an offline physical shop to provide more comprehensive and timely services for the user. For example, a specific implementation form of one of the physical stores may be a supermarket with a restaurant and a kitchen, a main operation range of the supermarket may include fresh food, vegetables, fruits and the like, and in addition, the supermarket may include catering goods processed on site and the like. The user can select and purchase commodity objects in the supermarket in an online ordering mode, a series of services such as picking, processing and manufacturing, packaging, distribution and the like are carried out by the entity shop, and the commodity objects are sent to the receiving address designated by the user within the specified time. Or, the user can use an online reservation to go to a store for dining service, or can directly go to the store for self-service ordering, and then can choose to pack for taking away or have a meal in the store, and the like. In summary, convenience can be provided to the user in various ways.

In the commodity object information service system associated with the physical store, and the commodities sold in the physical store include aquatic products, seafood, or corresponding food, the food is usually required to be kept fresh and alive, so as to ensure the taste or quality of the food, and provide the best eating experience for the user. However, since the physical store also needs to purchase various kinds of commodities or raw materials and transport them from a warehouse or a breeding base to the physical store, it is necessary to keep the food fresh and alive during the transportation. However, in addition to the dependence on water, life supplies of various aquatic products, seafood, flowers, and even vegetables have certain requirements, including, for example, dissolved oxygen, salinity, temperature, etc. in water. The life supply factor is also a consumable, such as oxygen, salt, a heating agent, a refrigerant, and the like, and if the distance between the departure point and the destination point during the purchase is relatively long, the living body may die due to consumption of various supplies. This also causes the loss that the food material produced in the transportation, will increase the live fresh circulation cost sharply, seriously restricts the transportation distance, finally with the cost to the consumer, causes the loss of consumer and the selective reduction of classification.

The main treatment means aiming at the problems in the prior art can have two aspects, firstly, the oxygen tank is carried on a transport vehicle of a fresh product along with the transport vehicle, oxygen is added into the water tank at any time, the mode is a mode capable of efficiently supplementing oxygen, but the pure oxygen is easy to explode in the transport process, and the like, so that the transport vehicle becomes a 'mobile bomb' and the public safety is damaged. Another approach is to use some drugs, however, this in turn jeopardizes the food safety of the public.

Therefore, how to keep the aquatic products, seafood and other products alive in the transportation process in a safer and more effective way becomes a technical problem to be solved by the technical personnel in the field.

Disclosure of Invention

The application provides a product transportation information processing method, device and system, which can reduce the loss rate of fresh products in the transportation process under the condition of avoiding public safety or food safety from being damaged.

The application provides the following scheme:

a product shipment information handling system, comprising:

the system comprises a vehicle-mounted information acquisition system and a first service end;

the vehicle-mounted information acquisition system comprises a sensor module and an information transmission module;

the sensor module is used for collecting parameter information in a target container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product;

the information transmission module is used for submitting the information acquisition result of the sensor module to a first service end and carrying associated vehicle identification information and container identification;

and the first service end is used for judging whether the supply needs to be increased for the product or not according to a plurality of information acquisition results corresponding to the same vehicle identification, and if so, carrying out corresponding processing.

A product transportation information processing method, comprising:

the method comprises the steps that a first service end receives an in-container parameter information acquisition result submitted by a vehicle side, and the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

judging whether the supply needs to be increased for the product or not according to a plurality of information acquisition results corresponding to the same container in the same vehicle identification;

if the supply needs to be increased, corresponding processing is carried out.

A product transportation information processing method, comprising:

the method comprises the steps that a first client receives a notification message provided by a first service end, wherein the notification message is generated after determining that the product needs to be supplied additionally according to the parameter information acquisition and monitoring result in a container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product;

and outputting the notification message.

A product transportation information processing method, comprising:

the first server stores mathematical model information corresponding to a plurality of product types respectively, wherein the mathematical model is used for expressing the relation information of supply consumption time-varying curves corresponding to the product types;

obtaining a vehicle identification corresponding to the transportation task and the type information of a product related to a container in the vehicle;

receiving an in-container parameter information acquisition result submitted by a vehicle side, wherein the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

determining target type information of a corresponding product according to the container identification corresponding to the information acquisition result, and judging whether to increase supply for the product or not according to the information acquisition result and a mathematical model corresponding to the target type;

if necessary, corresponding processing is carried out.

A product transportation information processing method, comprising:

the second server generates a transportation task related to the fresh product;

allocating vehicles for the transportation tasks;

providing the vehicle identification corresponding to the transportation task to a first service end, so that the first service end performs corresponding processing if the fact that the supply needs to be increased for the product is found in the process of monitoring the parameter information in the container in the vehicle; the parameters include parameters related to life supply factors of the product.

A product transportation information processing method, comprising:

the second client side obtains task processing result information submitted aiming at the target delivery task, wherein the task processing result information comprises corresponding container identification information;

and submitting the task processing result information to a second service end, wherein the second service end is used for providing the category information of the product corresponding to the delivery task and the container identifier to a first service end, the first service end is used for obtaining a parameter information acquisition result in the container in the transportation process and associating the parameter information acquisition result with the category information so as to generate a mathematical model, and the mathematical model is used for expressing the supply consumption time-varying curve relation information of the corresponding product category.

A product transportation information recommendation method comprises the following steps:

the second server stores mathematical model information corresponding to a plurality of types of products, the mathematical model is used for expressing the relation information of supply and consumption time-varying curves corresponding to the corresponding types of products, and the variation curve information is related to the water quantity in the container and the weight of the products;

generating delivery task information related to the transportation of the fresh product;

determining information of a starting place and a destination related to the delivery task, and predicting information of time length required by transportation;

determining a target type and weight information of a product associated with the delivery task;

predicting the required water quantity according to the mathematical model corresponding to the target type, the required time length information and the weight information of the fresh product;

and distributing the delivery task to a delivery task executor user, and providing recommendation information according to the predicted required water amount.

An on-board information collection system, comprising:

the sensor module is used for collecting parameter information in the container in the vehicle transportation process; the parameters include parameters related to life supply factors of the transported product;

and the information transmission module is used for submitting the information acquisition result of the sensor module to a first service end and carrying the associated vehicle identification information and container identification, so that the first service end can monitor the supply information in the container in the vehicle, and perform corresponding processing when the fact that the supply needs to be added to the product is found.

A product farming information processing system, comprising:

the system comprises an information acquisition system, a third server and a third client;

the information acquisition system comprises a sensor module and an information transmission module;

the sensor module is used for collecting parameter information in a container of a culture place, and the parameters comprise parameters related to life supply factors of the product;

the information transmission module is used for submitting the information acquisition result of the sensor module to a third server and carrying associated place identification information and container identification;

the third server is used for acquiring the corresponding relation between the place identifier and the cultivation task performer user identifier, judging whether to add supply to the container according to multiple information acquisition results corresponding to the same container identifier, and if so, sending a notification message to a third client associated with the cultivation task performer user identifier;

and the third client is used for outputting the notification message.

A product transportation information processing device is applied to a first service end and comprises:

the system comprises an acquisition result receiving unit, a parameter information acquiring unit and a parameter information acquiring unit, wherein the acquisition result receiving unit is used for receiving an acquisition result of parameter information in a container submitted by a vehicle side, and the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

the judging unit is used for judging whether the supply needs to be increased for the product or not according to a plurality of information acquisition results corresponding to the same container in the same vehicle identifier;

and the processing unit is used for carrying out corresponding processing if the supply needs to be increased.

The product transportation information processing device is applied to a first client side and comprises:

the notification message receiving unit is used for receiving a notification message provided by a first service end, wherein the notification message is generated after the fact that supply needs to be added to the product is determined according to the parameter information acquisition and monitoring results in the container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product;

an output unit, configured to output the notification message.

a model storage unit configured to store mathematical model information corresponding to each of a plurality of product types, the mathematical model being used to express supply consumption time-dependent curve relationship information corresponding to the product type;

the information acquisition unit is used for acquiring a vehicle identifier corresponding to the transportation task and the type information of a product related to a container in the vehicle;

the judging unit is used for determining the target type information of the corresponding product according to the container identifier corresponding to the information acquisition result and judging whether the product needs to be additionally supplied or not according to the information acquisition result and the mathematical model corresponding to the target type;

A product transportation information processing device is applied to a second server and comprises:

the transportation task generating unit is used for generating a transportation task related to the fresh products;

a vehicle allocation unit for allocating vehicles for the transportation task;

the vehicle identification information providing unit is used for providing the vehicle identification corresponding to the transportation task to the first service end, so that the first service end carries out corresponding processing if the fact that the supply needs to be added to the product is found in the process of monitoring the parameter information in the container in the vehicle; the parameters include parameters related to life supply factors of the product.

A product transportation information processing device is applied to a second client side and comprises:

the information obtaining unit is used for obtaining task processing result information submitted by aiming at a target delivery task, and the task processing result information comprises corresponding container identification information;

the information submitting unit is used for submitting the task processing result information to a second service end, the second service end is used for providing the category information of the product corresponding to the delivery task and the container identifier to a first service end, the first service end is used for obtaining a parameter information acquisition result in the container in the transportation process and associating the parameter information acquisition result with the category information so as to generate a mathematical model, and the mathematical model is used for expressing the supply consumption time-varying curve relation information of the corresponding product category.

A product transportation information recommendation device is applied to a second server and comprises:

a model storage unit configured to store mathematical model information corresponding to a plurality of types of products, the mathematical model being used to express supply/consumption time-dependent change curve relationship information corresponding to the corresponding type of product, the change curve information being related to the amount of water in the container and the weight of the product;

a delivery task generating unit for generating delivery task information related to transportation of the fresh product;

the time prediction unit is used for determining the information of the departure place and the destination associated with the delivery task and predicting the information of the time length required by transportation;

a product information determination unit configured to determine a target type and weight information of a product associated with the delivery task;

the water quantity prediction unit is used for predicting the required water quantity according to the mathematical model corresponding to the target type, the required time length information and the weight information of the fresh products;

and the recommendation information providing unit is used for distributing the delivery task to a delivery task executor user and providing recommendation information according to the predicted required water amount.

According to the specific embodiments provided herein, the present application discloses the following technical effects:

through the embodiment of the application, the sensor model can be installed in the vehicle-mounted container and used for collecting the parameter information in the container, submitting the information collection result to the first service end through the information transmission module and carrying the vehicle identification and the container identification. The first service end can judge whether the supply needs to be added to the container or not according to a plurality of information acquisition results corresponding to the same vehicle identifier and the same container identifier after receiving the specific information, and can perform corresponding processing if necessary. Therefore, the loss rate of the products of the types such as the fresh products in the transportation process can be reduced.

Specifically, the processing manner for increasing the supply may be to send a notification message to the first client associated with the transportation task executor user identifier corresponding to the vehicle identifier, so as to notify the transportation task executor user to increase the supply for the container in a manner of changing or adding water to the container in time, and the like, so as to avoid the loss of the fresh products due to insufficient supply during transportation. The early warning mechanism provided by information monitoring does not need to carry oxygen along with a vehicle, so that public safety can be prevented from being damaged, and in addition, the freshness of products does not need to be kept by using medicines and the like, so that food safety can be prevented from being damaged. In a word, in the embodiment of the application, the loss rate of the fresh products in the transportation process can be reduced under the condition of avoiding harming public safety or food safety.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of another system architecture provided by embodiments of the present application;

FIG. 3 is a flow chart of a first method provided by an embodiment of the present application;

FIG. 4 is a flow chart of a second method provided by embodiments of the present application;

FIG. 5 is a flow chart of a third method provided by embodiments of the present application;

FIG. 6 is a flow chart of a fourth method provided by embodiments of the present application;

FIG. 7 is a flow chart of a fifth method provided by embodiments of the present application;

FIG. 8 is a flow chart of a sixth method provided by embodiments of the present application;

FIG. 9 is a schematic diagram of yet another system architecture provided by embodiments of the present application;

FIG. 10 is a schematic diagram of a first apparatus provided by an embodiment of the present application;

FIG. 11 is a schematic diagram of a second apparatus provided by an embodiment of the present application;

FIG. 12 is a schematic diagram of a third apparatus provided by an embodiment of the present application;

FIG. 13 is a schematic diagram of a fourth apparatus provided by an embodiment of the present application;

FIG. 14 is a schematic diagram of a fifth apparatus provided by an embodiment of the present application;

FIG. 15 is a schematic view of a sixth apparatus provided by an embodiment of the present application;

fig. 16 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In the embodiment of the application, in order to better keep the fresh and alive state of the fresh and alive product in the transportation or storage process of the fresh and alive product, reduce the loss rate and simultaneously not endanger public safety or food sanitation safety, a corresponding solution is provided. Specifically, the following is considered first in this scheme: in the transportation or the storage process of living bright product, deposit through the container mainly, water injection in the container, aquatic except dissolving oxygen can also provide other necessary supplies in aqueous according to the kind information of concrete living bright product, for example, to the product of seafood class, need keep certain salinity, in addition, can also adjust the temperature etc. of aquatic to accord with the survival demand that corresponds living bright product. However, the various supplies mentioned above are typically consumables, including dissolved oxygen in water, salts, refrigerants, and the like. In the state that the container is newly added with water, the living body in the water can be guaranteed to be fresh, but after a period of time, the supply consumption can affect the freshness of the living body, even threaten the life of the living body, and the like. Theoretically, the process of supply and consumption of a specific class of products, which change with time, can be expressed by presenting a certain mathematical model, but prior to the embodiments of the present application, there is no relevant data in this respect, and therefore no ready mathematical model is available. In this case, in the scheme provided by the embodiment of the application, the specific environment in the container can be monitored in real time, when the situation that the supply is insufficient is found, the specific environment is timely notified to a driver and other personnel, and timely supply is performed, in addition, the monitoring data can be deposited for creating a specific mathematical model, and after the model is stable, the model can be used for prediction or early warning, so that the efficiency is improved.

Therefore, in the scheme provided by the embodiment of the application, data monitoring is a basis, and the specific implementation is that monitoring can be mainly performed aiming at two specific scenes, wherein one scene is monitoring in the transportation process of the fresh products, and the other scene is monitoring in the breeding process of the fresh products in a warehouse or an entity store. Two specific scenarios are described in detail below.

Example one

In the first embodiment, a scheme for implementing data monitoring and early warning in the transportation process of products such as live food and fresh food is introduced. Specifically, for the purpose of data monitoring, as shown in fig. 1, a first server 11 may be provided, and the first server may be located in the cloud to monitor the supply conditions in the containers in a plurality of specific vehicles. The data source of the first server may be a vehicle side, and in order to enable data collection, the vehicle-mounted information collection system 12 may be provided in the vehicle, and the system may first include a sensor module 121 installed in the container, where the sensor module is used to collect various parameter information in the container, such as dissolved oxygen, salinity, ph, temperature, and the like in water. In order to enable the information collected by the sensor to be transmitted to the first service end, an information transmission module 122 may be further provided, and the information transmission module 122 may submit the information collection result of the sensor module to the first service end. The specific information collection and submission operations may be performed periodically, so that the first server continuously monitors the conditions of the same container in the same vehicle, and predicts according to the data. Therefore, the first server needs to distinguish information such as vehicle identifiers, container identifiers and the like corresponding to the information acquisition results, and therefore the information transmission module can carry the vehicle identifiers and the container identifiers when submitting the information acquisition results.

In addition, in an embodiment, in order to notify a transportation task performer user such as a driver of a specific notification message such as an early warning message in time, a first client 13 may be provided for such a user, such a first client 13 may be installed on a mobile terminal device such as a mobile phone of the transportation task performer user, and the task performer user may also register through the first client in advance, and accordingly, the first server may assign a unique user identifier to the task performer user so as to distinguish different users. Furthermore, during the specific execution of a certain transportation task, the first service end may also obtain a correspondence between the vehicle identifier and an identifier of a transportation task performer user such as a specific driver in advance (specifically, the correspondence may be provided by a transportation task management system, for example, after a transportation task is generated, the management system may allocate a specific vehicle and a specific human task performer, and after the allocation is completed, the information may be provided to the first service end, which will be described in detail later). In this way, in the specific monitoring process, if a certain container in a certain vehicle needs to be replenished with nutrients, a notification message can be sent to the first client associated with the identifier of the transportation task performer user corresponding to the identifier of the vehicle, so that the first client can timely replenish nutrients, and loss is avoided.

That is to say, an embodiment of the present application provides a system for processing transportation information of a fresh product, and referring to fig. 1, the system may specifically include:

a first service terminal 11, a vehicle-mounted information acquisition system 12;

the vehicle-mounted information acquisition system 12 comprises a sensor module 121 and an information transmission module 122;

the sensor module 121 is used for collecting parameter information in a target container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product;

the information transmission module 122 is configured to submit the information acquisition result of the sensor module to the first service end, and carry associated vehicle identification information and container identification;

the first server 11 is configured to add a supply to the product, and if necessary, perform corresponding processing.

The sensor module works in the environment in the container, is in direct contact with water, and the water may have certain salinity and acidic or alkaline environment, and may cause certain erosion to sensor components, so that certain requirements are provided for the tightness and material durability of the sensor components; in addition, in the transportation process, frequent replacement of equipment is difficult, so that high requirements on hardware power consumption are met, during specific implementation, wireless sensor equipment based on an optical module can be used, the equipment has the characteristic of low power consumption and does not need frequent maintenance, and a remote wireless charging technology can be used for power supply of the wireless sensor.

Because the sensor module is located in the container, and the sensor module can adopt wireless mode of operation again, consequently, this information transmission module also can be distinguished into part under water and part on the water, wherein, the part under water can be binded with the sensor module in the container, and the part on the water can specifically install on the vehicle. It should be noted here that the vehicle and the container are not usually integrated, that the same container can be transported by different vehicles, that the same vehicle can carry different containers, even multiple containers at the same time, etc. Among them, regarding the underwater portion, since the container may include a metal component and have a semi-closed groove-like structure, if the transmission of information is implemented by using a common wireless communication technology, in the process of transmitting data collected underwater to the above-water portion, due to the existence of multipath effect, wireless signals may collide with each other among various reflection surfaces, so that the signals are greatly attenuated, and the transmission efficiency of the signals is affected. To this end, in an alternative embodiment of the present application, as shown in fig. 2, a specific information transmission module 122 may include:

the ultrasonic generation sub-module 1221 is positioned in the container and used for being connected with the sensor module to generate an ultrasonic signal carrying the information acquisition result;

an ultrasonic information receiving submodule 1222, installed on the vehicle, for receiving the ultrasonic signal and extracting the information acquisition result;

and the mobile communication sub-module 1223, installed on the vehicle, and configured to send the information acquisition result and the vehicle identification information to the first service end through a mobile communication base station.

That is, signals from underwater to water are transmitted in an ultrasonic mode and then transmitted to the first server through the mobile communication module. The ultrasonic wave is a sound wave with the frequency higher than 20000 Hz, and the directivity is good, the penetrating power is strong, more concentrated sound energy is easy to obtain, the propagation distance in water is long, and therefore, the ultrasonic wave is more suitable for being used in the scene of the embodiment of the application.

The first service end can be specifically located at the cloud end, and can provide specific data monitoring and early warning service for a plurality of vehicles at the same time. The first server may receive the nutrient information acquisition result submitted by the specific vehicle side, and may store the nutrient information acquisition result, for example, the specific storage form may be as shown in table 1:

TABLE 1

The vehicle identifier and the container identifier may be preset in the information transmission module. Under the condition of transmission by the mode of the ultrasonic waves and the mobile communication, specific container identification can be arranged in the ultrasonic wave generation submodule, vehicle identification can be arranged in the ultrasonic wave information receiving submodule, the ultrasonic wave generation submodule can carry the container identification in a signal when sending an information acquisition result signal, and then the ultrasonic wave information receiving submodule can carry the vehicle identification information when sending the ultrasonic wave signal to the mobile communication module after receiving the ultrasonic wave signal. Therefore, the identification information consisting of the vehicle identification and the container identification is carried in the signal actually sent to the first server. Therefore, the same vehicle carries a plurality of different containers, so that the first server can distinguish different containers in the vehicle and respectively monitor the containers.

The first service end may specifically determine whether to replenish nutrients in the container, and may have multiple modes, for example, in one mode, the first service end may predict available time information of the remaining nutrients in the container according to a difference relationship between multiple information acquisition results corresponding to the same container identifier in the same vehicle identifier, and determine whether to replenish nutrients in the container according to the prediction result. For example, if the nutrient content is linearly changed with respect to time, the slope of the line can be estimated approximately according to the difference relationship, and the available time of the remaining nutrients can be calculated according to the slope. Of course, the activity of the live fresh produce life within the container itself may also be affected by changes in the environment within the container. For example, at the stage of just starting transportation, because the newly injected water is generally sufficient in all aspects, the living body has stronger fresh activity, and correspondingly, the nutrient consumption is larger. As the amount of nutrients in the container decreases, the freshness of the living body may be reduced, and accordingly, the amount of nutrients consumed may be relatively low, and so on. In the above manner of predicting according to the actually received information acquisition result, the available time of the remaining nutrients may be predicted according to the difference relationship between two or more information acquisition results that are received latest. Of course, such a prediction may not be accurate enough, but only obtaining an approximate reference value will reduce product losses to a large extent.

After the first server finds that a certain container in a certain vehicle needs to be supplied in an increased mode, the specific processing mode can be various, for example, in a mode, if a supply device, such as an oxygen generator or the like, is arranged in the vehicle, an instruction can be directly sent to the supply device to inform the supply device of increasing the supply amount. Alternatively, in another mode, the user such as a driver of the vehicle may be notified. The information acquisition result received from the vehicle usually does not include the user identifier, and therefore, the first service end can also obtain the corresponding relationship between the vehicle identifier and the transportation task executor user identifier through other ways so as to push the directed message.

In specific implementation, the first server may obtain the information through a second server, where the second server may be a server responsible for transportation task management in the commodity object information service system. Specifically, the scheme provided by the embodiment of the application can be applied to a commodity object information service system capable of supporting a 'new retail' mode, and in the system, when a physical store needs to purchase a fresh product, or the physical store delivers the fresh product to a receiving address specified by a specific consumer user, transportation of the fresh product may be involved. In this process, the transportation task performer users such as a specific vehicle and a driver belong to the resources in the system, that is, the specific vehicle is not bound to the driver, the same vehicle and driver are not usually dedicated to transporting a certain type of product, the destination of each transportation may be different, and the like. In practical application, the system for providing information on commodity objects may further provide a second service end, where a specific function of the second service end may be to generate a specific transportation task according to a purchase order or a transaction order of a specific entity store, and to allocate a corresponding vehicle and a transportation task performer user, and after allocation is completed, a vehicle identifier corresponding to the transportation task and a transportation task performer user identifier may be provided to the first service end, so that the first service end may determine an association relationship between the vehicle and the user based on the vehicle identifier and the transportation task performer user identifier. Specifically, the first server may store the correspondence, for example, in one manner, a specific storage manner may be as shown in table 2:

TABLE 2

Therefore, the information acquisition result received from the vehicle-mounted information acquisition system comprises the vehicle identification information, so that the transportation task executor user identification related to the specific vehicle can be determined according to the association relationship between the vehicle and the user identification, and the information such as early warning and the like can be pushed to the transportation task executor user identification.

In addition, when the system is specifically implemented, more information related to a specific transportation task and more information related to vehicles can be obtained, and the like, so that more accurate early warning can be performed. For example, destination information corresponding to the transportation task may also be obtained, and the destination information may also be provided by the second server. And more information about the vehicle may include real-time location information, speed information, etc. of the vehicle. In this way, in the specific monitoring process, the distance from the destination can be calculated according to the real-time positioning information of the vehicle, and the distance can be a transportation distance, that is, route planning can be performed specifically by combining with electronic map data and the like, and the remaining transportation distance information can be determined according to the specifically planned route. In combination with the current vehicle speed, the remaining time to reach the destination can be roughly calculated. In this way, it can be determined whether nutrient replenishment needs to be performed on the way according to the calculated relationship between the available time of the remaining nutrients in the container and the remaining time to the destination. For example, if it is found at a time that the available time for the nutrients remaining in the container is only 30 minutes, and it takes 1 hour from the current location of the vehicle to the destination, the user may be notified of the specific transportation task performer to seek a water source nearby, change the water for the specific container, and so on, and then continue the transportation. In practical application, some replenishment points can be arranged along some common roads, for example, replenishment points are arranged in service areas of expressways, and when replenishment is found to be needed, information such as the position of the replenishment point closest to the current vehicle can be notified to corresponding users so as to replenish nutrients in time and ensure that the transported living bodies are kept in a fresh and alive state before reaching the destination.

In addition, in specific implementation, the first server can provide early warning information for specific users such as drivers by using monitoring results to ensure the freshness of products currently transported, in addition, in an optional implementation mode, monitored data can be precipitated, and data corresponding to the same type of fresh products are counted to generate a mathematical model, the mathematical model can be used for expressing curve relation information of specific nutrient consumption changing along with time, and the specific change curve relation can be expressed completely, so that early warning can be subsequently performed by using the mathematical model, or suggestion information can be provided before transportation is started, and the like, so that the efficiency is improved.

In order to achieve the above purpose, it is further required that the first server obtains information about the type of the fresh product in the specific container, and the information can be provided by the shipper when the first server is implemented. In practical applications, a specific transportation task may be associated with a shipping task, the shipping task may be generated and managed by a second server, and a second client may be provided for the sender user. The second server may be assigned to a particular shipper user after generating a particular shipping task. Wherein the same shipping task may correspond to one or more shipping tasks. For example, a plurality of different types of fresh products may need to be transported in the same transportation task, and the fresh products may be scattered at different locations in a warehouse or a breeding base, so as to facilitate operations such as picking up goods and loading, different delivery tasks may be generated and respectively distributed to operators corresponding to the different types of fresh products. That is, the specific delivery task may correspond to the type information of the fresh product. After the operator finishes picking the goods, the operator loads the specific types of fresh products by the containers and loads the specific containers. Before loading, the container can be identified by scanning codes or radio frequency identification and the like through terminal equipment associated with the second client, and the container identification is submitted to the second server. In this way, the second service end can determine the type information of the fresh product from the corresponding delivery task, and then, the type information can be associated with the specifically received container identification information and provided to the first service end. Therefore, the first server side can record the corresponding relation between the specific container identification and the type of the fresh product. After the information acquisition result submitted by the specific vehicle is received, the container identification is carried in the information acquisition result, so that the information acquisition results corresponding to the same type of fresh products can be summarized and counted according to the type information corresponding to the container identification, and a mathematical model for the same type of fresh products is obtained.

In addition, since the change rule of the supply consumption of the specific fresh product with time may also be related to the water amount of the specific container and the weight information of the specific fresh product in the container, the first server may further obtain the water amount and the weight information of the fresh product in order to more accurately obtain the mathematical model. Specifically, the information about the amount of water and the weight of the fresh product may also be provided by the second client, that is, after the specific second client receives the delivery task, the corresponding type of fresh product may be weighed to correspond to the weight required in the specific task. In addition, water can be injected into the container and volume or weight information of the water obtained. And then, when the container is subjected to loading scanning and a task processing result is submitted, the water quantity corresponding to the container and the weight information of the fresh products can be submitted. Therefore, the second server side can obtain the container identification, the water quantity and the weight of the fresh products corresponding to the specific delivery task, and then the information and the type information of the specific fresh products can be provided for the first server side and stored by the first server side. Thus, the information stored by the first service end may be specifically as shown in table 3:

TABLE 3

Under the condition that the information is recorded, after the information acquisition result submitted by the vehicle-mounted information acquisition system is received by the specific first service end, the type information of the fresh product corresponding to each container can be respectively determined, different information acquisition results corresponding to the same type are collected, and when the statistics is carried out, the water quantity in the container and the weight information of the fresh product are taken into consideration, so that the mathematical model corresponding to the fresh product of the same type and comprising the water quantity and the weight information of the fresh product is obtained. Therefore, when prediction is carried out, under the condition that the type, the water quantity and the weight of a specific fresh product are known, the longest time for keeping fresh and alive in the environment can be calculated; or, under the condition that the departure place and the destination of transportation are known, the total time required by transportation can be calculated, the type and the weight of the fresh product required to be transported can be known from a specific delivery task, and under the condition that the information of the three aspects is known, the required water quantity can be estimated through a mathematical model, so that the required water quantity in the container can be recommended before specific delivery, the optimal proportioning can be carried out before departure, the probability of stopping and supplying in the midway is reduced, and the efficiency is further improved.

In addition, during specific implementation, specific nutrient consumption may be related to air temperature, air pressure and the like, so that factors of the air temperature and the air pressure can be considered when information acquisition results are counted, so that information covered by a specific mathematical model is more comprehensive, and accurate prediction or recommendation can be performed.

In a word, through the embodiment of the application, the sensor model can be installed in the vehicle-mounted container and used for collecting the parameter information in the container, and the information collection result is submitted to the first service end through the information transmission module and carries the vehicle identifier and the container identifier. The first service end can judge whether the supply needs to be increased in the container or not according to a plurality of information acquisition results corresponding to the same vehicle identifier and the same container identifier after receiving specific information, and can perform corresponding processing if necessary so as to reduce the loss rate of products in the transportation process.

In one of the processing modes, a notification message can be sent to the first client side associated with the transportation task executor user identifier corresponding to the vehicle identifier so as to notify the transportation task executor user to increase supply for the container in time through modes of changing water or adding water for the container and the like, so that loss of the fresh products caused by insufficient supply in the transportation process is avoided. The early warning mechanism provided by information monitoring does not need to carry oxygen along with a vehicle, so that public safety can be prevented from being damaged, and in addition, the freshness of products does not need to be kept by using medicines and the like, so that food safety can be prevented from being damaged. In a word, in the embodiment of the application, the loss rate of the fresh products in the transportation process can be reduced under the condition of avoiding harming public safety or food safety.

Example two

The second embodiment corresponds to the first embodiment, and provides a product transportation information processing method from the perspective of the first service end, with reference to fig. 3, where the method may specifically include:

s301: the method comprises the steps that a first service end receives an in-container parameter information acquisition result submitted by a vehicle side, and the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

s302: judging whether the supply needs to be increased for the product or not according to a plurality of information acquisition results corresponding to the same container in the same vehicle identification;

s303: if the supply needs to be increased, corresponding processing is carried out.

Specifically, when determining whether to increase supply for the product, there may be multiple ways, and in one of the ways, the available time information of the remaining nutrients in the container may be predicted according to a difference relationship between multiple information acquisition results corresponding to the same container identifier in the same vehicle identifier, and whether to increase supply for the product is determined according to a prediction result.

During specific implementation, transportation destination information corresponding to the transportation task can be obtained; the information acquisition result can also carry real-time positioning information and speed information of the vehicle; at this time, when it is determined whether or not the supply of the product needs to be increased, the remaining transportation distance information with the destination may be determined according to the real-time positioning information of the vehicle; then, determining the remaining transportation time information according to the remaining transportation distance information and the vehicle speed information; determining that an increase in supply for the product is required if the available time information for the remaining supply in the container is less than the remaining transit time information.

In addition, during specific implementation, the corresponding relation between the container identifier and the product type can be obtained; storing a plurality of information acquisition results corresponding to the container identifier; then, in idle time, counting a plurality of information acquisition results corresponding to the same type of the fresh product to generate a mathematical model, wherein the mathematical model is used for expressing the relationship information of the nutrient consumption curve corresponding to the type along with the change of time.

Moreover, the water quantity corresponding to the container identification and the weight information of the fresh product can be obtained; at this time, a mathematical model corresponding to the type of the fresh product may be generated according to the multiple information acquisition results corresponding to the same type of the fresh product, and the water amount and weight information corresponding to each type of the fresh product.

EXAMPLE III

The third embodiment is also corresponding to the first embodiment, and from the perspective of the first client, there is provided a method for processing transportation information of a live fresh product, referring to fig. 4, the method may specifically include:

s401: the method comprises the steps that a first client receives a notification message provided by a first service end, wherein the notification message is generated after determining that the product needs to be supplied additionally according to the parameter information acquisition and monitoring result in a container in the vehicle transportation process; the parameters include parameters related to life supply factors of the product;

s402: and outputting the notification message.

Example four

In the fourth embodiment, from the perspective of the first service end, another product transportation information processing method is provided, in the method, during the process that the first service end monitors nutrient information in a container in a vehicle, the first service end can predict available time information of remaining nutrients according to pre-generated mathematical model information corresponding to the type of the fresh product, and further determine whether early warning is needed. Referring specifically to fig. 5, the method may specifically include:

s501: the first server stores mathematical model information corresponding to a plurality of product types respectively, wherein the mathematical model is used for expressing the relation information of supply consumption time-varying curves corresponding to the product types;

s502: obtaining a vehicle identification corresponding to the transportation task and type information of a product related to a container in the vehicle;

for the manner of obtaining various information in this step, reference may be made to the description in the foregoing first embodiment, and details are not described here.

S503: receiving an in-container parameter information acquisition result submitted by a vehicle side, wherein the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

s504: determining target type information of a corresponding product according to the container identification corresponding to the information acquisition result, and judging whether to increase supply for the product or not according to the information acquisition result and a mathematical model corresponding to the target type;

s505: if the supply needs to be increased, corresponding processing is carried out.

During specific implementation, the mathematical model is also related to the water yield and the weight information of the fresh product in the container; at the moment, the target water quantity and the weight information of the fresh product corresponding to the container identifier can be obtained; specifically, when judging whether the nutrient needs to be supplied to the container, the nutrient information acquisition result, the target water amount, the weight information of the fresh product and the mathematical model corresponding to the target type can be determined, and whether the nutrient needs to be supplied to the container is judged.

In addition, the information acquisition result is also used for updating the mathematical model.

EXAMPLE five

In a fifth embodiment, from the perspective of the second service end mentioned in the first embodiment, a method for processing transportation information of a live fresh product is provided, where the second service end mainly provides required information for the first service end, and referring to fig. 6, the method may specifically include:

s601: the second server generates a transportation task related to the fresh product;

s602: allocating vehicles for the transportation tasks;

s603: providing the vehicle identification corresponding to the transportation task to a first service end, so that the first service end performs corresponding processing if the fact that the supply needs to be increased for the product is found in the process of monitoring the parameter information in the container in the vehicle; the parameters include parameters related to life supply factors of the product.

During specific implementation, a delivery task corresponding to the transportation task can be determined and distributed to a delivery task executor user; receiving a delivery task execution result submitted by a second client associated with the delivery task executor user, wherein the delivery task execution result comprises a container identifier and the type information of the corresponding fresh product; and providing the corresponding relation between the container identifier and the type information of the fresh products to the first service end so that the first service end can count the supply consumption information corresponding to the fresh products of various types so as to generate a corresponding mathematical model.

In addition, the delivery task execution result also comprises the water quantity in the container and the weight information of the product; at this time, the water amount corresponding to the container identifier and the weight information of the product may also be provided to the first server, so that the first server generates a mathematical model corresponding to the product type according to the multiple information acquisition results corresponding to the same product type, and the water amount and weight information corresponding to each of the multiple information acquisition results.

EXAMPLE six

The sixth embodiment corresponds to the fifth embodiment, and from the perspective of the second client, there is provided a method for processing transportation information of a live fresh product, referring to fig. 7, the method may specifically include:

s701: the second client side obtains task processing result information submitted aiming at the target delivery task, wherein the task processing result information comprises corresponding container identification information;

s702: and submitting the task processing result information to a second service end, wherein the second service end is used for providing the category information of the product corresponding to the delivery task and the container identifier to a first service end, the first service end is used for obtaining a parameter information acquisition result in the container in the transportation process and associating the parameter information acquisition result with the category information so as to generate a mathematical model, and the mathematical model is used for expressing the supply consumption time-varying curve relation information of the corresponding product category.

During specific implementation, the water amount information and the weight information of the product in the container can be added into the task processing result information and submitted to the second server for providing to the first server, and the first server generates a mathematical model corresponding to the product type according to the multiple information acquisition results corresponding to the same product type and the water amount and weight information corresponding to the multiple information acquisition results.

EXAMPLE seven

The seventh embodiment provides a product transportation information recommendation method from the perspective of the second service end, and after the first service end establishes a curve change relation information model between specific nutrient consumption and time for various fresh products, the model can be directly utilized to recommend the water amount information required during delivery, thereby avoiding the situation of stopping and supplying midway due to blind water addition, and further improving the transportation efficiency. Specifically, referring to fig. 8, the method may specifically include:

s801: the second server stores mathematical model information corresponding to a plurality of types of products, the mathematical model is used for expressing the relation information of supply and consumption time-varying curves corresponding to the corresponding types of products, and the variation curve information is related to the water quantity in the container and the weight of the products;

s802: generating delivery task information related to the transportation of the fresh product;

s803: determining information of a starting place and a destination related to the delivery task, and predicting information of time length required by transportation;

s804: determining a target type and weight information of a product associated with the delivery task;

s805: predicting the required water quantity according to the mathematical model corresponding to the target type, the required time length information and the weight information of the fresh product;

s806: and distributing the delivery task to a delivery task executor user, and providing recommendation information according to the predicted required water amount.

That is, specific recommendation information can be provided for a user who performs a delivery task, and through the information, the user can inject a proper amount of water into the container, and the amount of water is calculated according to specific information such as transportation distance, transportation time, types of the fresh products, weight and the like and by combining a specific mathematical model, so that the reference value is high, after water allocation is performed according to the recommendation information, the probability of increasing replenishment in the transportation process can be reduced, and the specific fresh products are guaranteed to be kept in a fresh state all the time before reaching a destination.

Example eight

In an eighth embodiment, the vehicle-mounted information collection system mentioned in the first embodiment is individually protected, specifically, referring to fig. 2, the vehicle-mounted information collection system in the eighth embodiment may specifically include:

Specifically, the sensor module is located in the container;

the information transmission module includes:

the ultrasonic wave generation sub-module is positioned in the container and used for being connected with the sensor module to generate an ultrasonic wave signal carrying the information acquisition result;

the ultrasonic information receiving submodule is arranged on the vehicle and used for receiving the ultrasonic signals and extracting the information acquisition result;

and the mobile communication sub-module is arranged on the vehicle and used for sending the information acquisition result and the vehicle identification information to the first service terminal through a mobile communication base station.

Example nine

In the ninth embodiment, the specific early warning mechanism may be applied to a warehouse, a solid store, and other scenes for temporarily breeding the fresh products. It should be noted that, when the fresh products are cultured in a warehouse, a solid store, etc., an oxygen supply system is usually provided, and the system may include a plurality of gas pipes for respectively supplying oxygen to different containers, and this process is usually continuously performed to keep the specific fresh products in the most fresh state at any time. Normally, under the condition that the supply system is arranged, nutrient shortage of specific fresh products does not occur, but in practical application, partial gas conveying pipe faults including blockage or leakage and the like may occur, so that nutrient shortage may occur in a single container. Therefore, for such a situation, the monitoring and early warning mechanism provided by the embodiment of the present application may also be applied to such a scenario, so as to be able to respond in time when the above possible unexpected situation occurs, and avoid causing loss.

Specifically, the ninth embodiment provides a product cultivation information processing system, and referring to fig. 9, the system may specifically include:

an information acquisition system 901, a third server 902, and a third client 903;

the information acquisition system 901 comprises a sensor module 9011 and an information transmission module 9012;

the sensor module 9011 is configured to collect parameter information in a container of a breeding farm, where the parameter includes a parameter related to a life supply factor of the product;

the information transmission module 9012 is configured to submit the information acquisition result of the sensor module to a third server, and carry associated location identification information and container identification;

the third server 902 is configured to obtain a correspondence between a place identifier and a cultivation task performer user identifier, determine whether to add supply to a container according to multiple information acquisition results corresponding to the same container identifier, and send a notification message to a third client associated with the cultivation task performer user identifier if necessary;

the third client 903 is configured to output the notification message.

In a specific implementation, the third server is further configured to store mathematical model information corresponding to each of a plurality of product types, where the mathematical model is configured to express supply consumption time-varying curve relation information corresponding to the product type, and after receiving the information acquisition result, determine type information of a product corresponding to the container identifier, so as to determine whether to add supply to the container according to the information acquisition result and the mathematical model corresponding to the target type.

The mathematical model information corresponding to each specific product type can be implemented according to the scheme introduced in the first embodiment, that is, in a specific transportation and other scenes, the supply and consumption conditions of various different types of fresh products can be collected and subjected to statistical analysis to generate a specific data model.

Corresponding to the second embodiment, an embodiment of the present application further provides a product transportation information processing apparatus, referring to fig. 10, where the apparatus is applied to a first service end, and includes:

an acquisition result receiving unit 1001 configured to receive an acquisition result of parameter information in a container submitted by a vehicle, where the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

the judging unit 1002 is configured to judge whether to increase supply for the product according to multiple information acquisition results corresponding to the same container in the same vehicle identifier;

a processing unit 1003, configured to perform corresponding processing if the supply needs to be increased.

The determining unit may be specifically configured to: and predicting available time information of the residual nutrients in the container according to the difference relation among a plurality of information acquisition results corresponding to the same container identifier in the same vehicle identifier, and determining whether nutrient replenishment needs to be carried out in the container according to the prediction result.

In a specific implementation, the apparatus may further include:

a destination information obtaining unit, configured to obtain transportation destination information corresponding to the transportation task;

the information acquisition result also carries real-time positioning information and speed information of the vehicle;

the determining unit may specifically include:

the residual distance determining subunit is used for determining residual transportation distance information between the destination and the vehicle according to the real-time positioning information of the vehicle;

the remaining time determining subunit is used for determining remaining transportation time information according to the remaining transportation distance information and the vehicle speed information;

a determining subunit, configured to determine that an increase in supply for the product is required if the available time information for the remaining supply in the container is less than the remaining transportation time information.

In addition, the apparatus may further include:

a correspondence obtaining unit configured to obtain a correspondence between the container identifier and a type of the product;

the storage unit is used for storing a plurality of information acquisition results corresponding to the container identifier;

and the model generating unit is used for counting a plurality of information acquisition results corresponding to the same product type and generating a mathematical model, and the mathematical model is used for expressing the supply consumption time-varying curve relation information corresponding to the type.

In addition, the apparatus may further include:

the product information obtaining unit is used for obtaining the water quantity corresponding to the container identifier and the weight information of the product;

the model generation unit may specifically be configured to: and generating a mathematical model corresponding to the product type according to the multiple information acquisition results corresponding to the same product type and the water quantity and weight information corresponding to the same product type.

Furthermore, the apparatus may further include:

the user identification obtaining unit is used for obtaining a vehicle identification corresponding to the transportation task and transportation task performer user identification information;

the processing unit may specifically be configured to:

and sending a notification message to the first client associated with the transportation task executor user identification.

Alternatively, the processing unit may be further configured to:

sending an instruction to a replenishment device provided inside the vehicle, the replenishment device adding a supply to the product.

Corresponding to the embodiment, the embodiment of the present application further provides a product transportation information processing apparatus, referring to fig. 11, where the apparatus is applied to a first client, and includes:

a notification message receiving unit 1101, configured to receive a notification message provided by a first service end, where the notification message is generated after determining that supply needs to be added to the product according to a result of collecting and monitoring parameter information in a container during vehicle transportation; the parameters include parameters related to life supply factors of the product;

an output unit 1102, configured to output the notification message.

Corresponding to the fourth embodiment, an embodiment of the present application further provides a product transportation information processing apparatus, referring to fig. 12, where the apparatus is applied to a first service end, and includes:

a model storage unit 1201 for storing mathematical model information corresponding to each of a plurality of product types, the mathematical model being used to express supply consumption time-dependent curve relationship information corresponding to the product type;

an information obtaining unit 1202, configured to obtain a vehicle identifier corresponding to a transportation task and category information of a product associated with a container in a vehicle;

an acquisition result receiving unit 1203, configured to receive an acquisition result of parameter information in a container submitted by a vehicle side, where the information acquisition result also carries vehicle identification information and a container identification; the parameters include parameters related to life supply factors of the product;

a judging unit 1204, configured to determine, according to a container identifier corresponding to the information acquisition result, target type information of a corresponding product, and judge, according to the information acquisition result and a mathematical model corresponding to the target type, whether to add supply to the product;

a processing unit 1205, configured to perform corresponding processing if the supply needs to be increased.

Wherein the mathematical model is also related to the water yield and product weight information in the container;

at this time, the apparatus may further include:

the product information obtaining unit is used for obtaining the target water volume and the product weight information corresponding to the container identifier;

the determining unit may specifically be configured to: and determining the information acquisition result, the target water amount, the weight information of the fresh product and a mathematical model corresponding to the target type, and judging whether the supply needs to be increased for the product.

In a specific implementation, the apparatus may further include:

and the model updating unit is used for updating the mathematical model according to the information acquisition result.

Corresponding to the fifth embodiment, an embodiment of the present application further provides a product transportation information processing apparatus, referring to fig. 13, where the apparatus is applied to a second server, and includes:

a transportation task generating unit 1301 for generating a transportation task related to the fresh product;

a vehicle allocation unit 1302 for allocating vehicles for the transportation task;

a vehicle identification information providing unit 1303, configured to provide a vehicle identification corresponding to the transportation task to a first service end, so that, in the process of monitoring parameter information in a container in the vehicle, if it is found that supply needs to be added to the product, the first service end performs corresponding processing; the parameters include parameters related to life supply factors of the product.

In a specific implementation, the apparatus may further include:

the task allocation unit is used for determining a delivery task corresponding to the transportation task and allocating the delivery task to a delivery task executor user;

the product information determining unit is used for receiving a delivery task execution result submitted by a second client associated with the delivery task executor user, wherein the delivery task execution result comprises a container identifier and the type information of a corresponding product;

and the corresponding relation providing unit is used for providing the corresponding relation between the container identifier and the type information of the product to the first service end so that the first service end can count the supply consumption information corresponding to various types of products to generate corresponding mathematical models.

The delivery task execution result also comprises the water quantity in the container and the weight information of the product;

the apparatus may further include:

and the information providing unit is used for providing the water quantity corresponding to the container identifier and the weight information of the product to the first service end, so that the first service end can generate a mathematical model corresponding to the product type according to the multiple information acquisition results corresponding to the same product type and the water quantity and weight information corresponding to the first service end.

Corresponding to the sixth embodiment, the present application further provides a product transportation information processing apparatus, referring to fig. 14, where the apparatus is applied to a second client, and includes:

an information obtaining unit 1401 configured to obtain task processing result information submitted for a target shipping task, where the task processing result information includes corresponding container identification information;

an information submitting unit 1402, configured to submit the task processing result information to a second service end, where the second service end is configured to provide the category information of the product corresponding to the shipping task and the container identifier to a first service end, and the first service end is configured to obtain a parameter information acquisition result in the container during transportation and associate the parameter information acquisition result with the category information to generate a mathematical model, where the mathematical model is used to express information of a curve relation between supply consumption and time variation of a corresponding product category.

Wherein, the device can also include:

and the information adding unit is used for adding the water amount information and the weight information of the product in the container into the task processing result information and submitting the task processing result information to the second server for providing the task processing result information to the first server, and the first server generates a mathematical model corresponding to the product type according to multiple information acquisition results corresponding to the same product type and the water amount and weight information corresponding to the information acquisition results.

Corresponding to the seventh embodiment, an embodiment of the present application further provides a product transportation information recommendation device, referring to fig. 15, where the device is applied to a second server, and includes:

a model storage unit 1501 for storing mathematical model information corresponding to a plurality of types of products, the mathematical model expressing supply/consumption time-dependent change curve relationship information corresponding to the corresponding type of product, the change curve information being related to the amount of water in the container and the weight of the product;

a shipping task generating unit 1502 for generating shipping task information relating to transportation of the fresh product;

a time prediction unit 1503, configured to determine departure point and destination information associated with the shipment task, and predict length of time information required for transportation;

a product information determination unit 1504 for determining the target kind and weight information of the product associated with the delivery task;

a water amount prediction unit 1505 for predicting the required water amount according to the mathematical model corresponding to the target type, the required time length information and the weight information of the fresh product;

a recommendation information providing unit 1506 configured to assign the shipping task to a shipping task executor user and provide recommendation information according to the predicted required water amount.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

if the supply needs to be increased, corresponding processing is carried out.

An electronic device, comprising:

one or more processors; and

storing mathematical model information corresponding to a plurality of product types, wherein the mathematical model is used for expressing supply consumption time-varying curve relation information corresponding to the product types;

if necessary, corresponding processing is carried out.

An electronic device, comprising:

one or more processors; and

storing mathematical model information corresponding to a plurality of types of products, the mathematical model expressing supply/consumption time-dependent change curve relationship information corresponding to the corresponding type of products, the change curve information being related to the amount of water in the container and the weight of the products;

Fig. 16 illustrates an architecture of a computer system that may include, in particular, a processor 1610, a video display adapter 1611, a disk drive 1612, an input/output interface 1613, a network interface 1614, and a memory 1620. The processor 1610, video display adapter 1611, disk drive 1612, input/output interface 1613, and network interface 1614, as described above, and the memory 1620 may be communicatively coupled via a communication bus 1630.

The processor 1610 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided in the present Application.

The Memory 1620 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. Memory 1620 may store an operating system 1621 for controlling the operation of computer system 1600, and a Basic Input Output System (BIOS) for controlling low-level operations of computer system 1600. In addition, a web browser 1623, a data storage management system 1624, and a product shipment information handling system 1625, among others, may also be stored. Product shipment information processing system 1625 may be an application that implements the operations of the foregoing steps in this embodiment. In summary, when the technical solution provided in the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1620 and called for execution by the processor 1610.

The input/output interface 1613 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

The network interface 1614 is used for connecting a communication module (not shown in the figure) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).

The bus 1630 includes a path that transfers information between various components of the device, such as the processor 1610, the video display adapter 1611, the disk drive 1612, the input/output interface 1613, the network interface 1614, and the memory 1620.

In addition, the computer system 1600 can also obtain the information of the specific receiving condition from the virtual resource object receiving condition information database 1641 for condition judgment, and the like.

It should be noted that although the above devices only show the processor 1610, the video display adapter 1611, the disk drive 1612, the input/output interface 1613, the network interface 1614, the memory 1620, the bus 1630 and the like, in a specific implementation, the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The method, the device and the system for processing the product transportation information provided by the application are introduced in detail, specific examples are applied in the method to explain the principle and the implementation mode of the application, and the description of the embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. A product shipment information handling system, comprising:

2. The system of claim 1,

the first service end is specifically configured to obtain a correspondence between a vehicle identifier and a transport task executor user identifier, and send a notification message to a first client associated with the transport task executor user identifier if it is necessary to add supply to the product.

3. The system of claim 1,

the first server is specifically configured to send an instruction to a replenishment device equipped in the vehicle, and the replenishment device adds supply to the product.

4. A product transportation information processing method, comprising:

if the supply needs to be increased, corresponding processing is carried out.

5. The method of claim 4,

the judge whether need for product increase supply according to the many information acquisition results that same vehicle sign corresponds includes:

and predicting available time information of the residual nutrients in the container according to the difference relation among a plurality of information acquisition results corresponding to the same container identifier in the same vehicle identifier, and determining whether nutrient replenishment needs to be carried out in the container according to the prediction result.

6. The method of claim 5, further comprising:

obtaining transportation destination information corresponding to the transportation task;

the determining whether an increase in supply for the product is required includes:

determining the residual transportation distance information between the vehicle and the destination according to the real-time positioning information of the vehicle;

determining the information of the remaining transportation time according to the information of the remaining transportation distance and the information of the vehicle speed;

determining that an increase in supply for the product is required if the available time information for the remaining supply in the container is less than the remaining transit time information.

7. The method of claim 4, further comprising:

obtaining a corresponding relation between the container identification and the product type;

storing a plurality of information acquisition results corresponding to the container identifier;

and counting a plurality of information acquisition results corresponding to the same product type to generate a mathematical model, wherein the mathematical model is used for expressing the supply consumption time-varying curve relation information corresponding to the type.

8. The method of claim 7, further comprising:

obtaining water quantity corresponding to the container identification and weight information of the product;

the generating a mathematical model includes:

and generating a mathematical model corresponding to the product type according to the multiple information acquisition results corresponding to the same product type and the water quantity and weight information corresponding to the same product type.

9. The method of claim 4, further comprising:

obtaining vehicle identification corresponding to the transportation task and transportation task executor user identification information;

the performing of the corresponding processing includes:

10. The method of claim 4,

the performing of the corresponding processing includes:

11. A product transportation information processing method, comprising:

and outputting the notification message.

12. A product transportation information processing method, comprising:

if necessary, corresponding processing is carried out.

13. The method of claim 12,

the mathematical model is also related to the water quantity obtained in the container and the product weight information;

the method further comprises the following steps:

obtaining target water volume and product weight information corresponding to the container identifier;

the step of judging whether to increase supply for the product according to the information acquisition result and the mathematical model corresponding to the target type comprises the following steps:

and determining the information acquisition result, the target water amount, the weight information of the fresh product and a mathematical model corresponding to the target type, and judging whether the supply needs to be increased for the product.

14. The method of claim 12, further comprising:

the information acquisition result is also used for updating the mathematical model.

15. A product transportation information processing method, comprising:

the second server generates a transportation task related to the fresh product;

allocating vehicles for the transportation tasks;

16. The method of claim 15, further comprising:

determining a delivery task corresponding to the transportation task, and distributing the delivery task to a delivery task executor user;

receiving a delivery task execution result submitted by a second client associated with the delivery task executor user, wherein the delivery task execution result comprises a container identifier and corresponding product type information;

and providing the corresponding relation between the container identifier and the type information of the product to the first service end so that the first service end can count the supply consumption information corresponding to various types of products to generate corresponding mathematical models.

17. The method of claim 16,

the method further comprises the following steps:

and providing the water quantity corresponding to the container identifier and the weight information of the product to the first service end so that the first service end can generate a mathematical model corresponding to the product type according to a plurality of information acquisition results corresponding to the same product type and the water quantity and weight information corresponding to the first service end and the product type.

18. A product transportation information processing method, comprising:

19. The method of claim 18, further comprising:

adding the water amount information and the weight information of the product in the container into the task processing result information, submitting the information to the second service end for providing for the first service end, and generating a mathematical model corresponding to the product type by the first service end according to multiple information acquisition results corresponding to the same product type and the water amount and weight information corresponding to the information.

20. A product transportation information recommendation method is characterized by comprising the following steps:

21. An on-vehicle information acquisition system, comprising:

22. The system of claim 21,

the sensor module is positioned in the container;

the information transmission module includes:

23. A product farming information processing system, comprising:

and the third client is used for outputting the notification message.

24. The system of claim 23,

the third server is further configured to store mathematical model information corresponding to a plurality of product types, where the mathematical model is used to express supply consumption time-varying curve relation information corresponding to the product types, and after receiving the information acquisition result, determine product type information corresponding to the container identifier, so as to determine whether to add supply to the container according to the information acquisition result and the mathematical model corresponding to the target type.

25. A product transportation information processing device is applied to a first service end and comprises:

26. A product transportation information processing device is applied to a first client side and comprises:

an output unit, configured to output the notification message.

27. A product transportation information processing device is applied to a first service end and comprises:

28. A product transportation information processing device is applied to a second server and comprises:

a vehicle allocation unit for allocating vehicles for the transportation task;

29. A product transportation information processing device is applied to a second client, and comprises:

30. The product transportation information recommendation device is applied to a second server and comprises the following components:

31. An electronic device, comprising:

one or more processors; and

if the supply needs to be increased, corresponding processing is carried out.

32. An electronic device, comprising:

one or more processors; and

if necessary, corresponding processing is carried out.

33. An electronic device, comprising:

one or more processors; and