Early warning method, device and equipment for logistics goods

Abstract

The invention discloses an early warning method, device and equipment for logistics goods, the method is applied to the technical field of logistics, and the method comprises the steps: obtaining historical information archives and key logistics information of historical logistics goods in a historical time period; based on the historical information file of the historical logistics goods and the key logistics information, determining historical transportation data; according to the historical transportation data and the real-time road condition information of the current logistics goods, predicting the time when the current logistics goods arrive at a destination, and sending an arrival time notification message to a goods receiver; according to the temperature change and the humidity change of the current logistics goods in the transportation process, whether the quality of the current logistics goods is affected or not is judged; if the quality of the current logistics goods is affected, quality early warning information is sent out, and a processing strategy is generated according to the influence condition. According to the invention, the efficiency and quality of logistics transportation are effectively improved, and the risk of cargo loss is reduced.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to an early warning method, device and equipment for logistics goods. Background Art

[0002] In the logistics industry, the transportation and management of large-ticket goods are of great significance. However, there are many problems in the monitoring of large-ticket goods in logistics. Traditional monitoring methods often rely on manual records and regular inspections, which are inefficient and prone to errors and omissions. At the same time, goods may experience multiple modes of transportation and complex environments during transportation. How to grasp the location, status and other information of goods in real time and accurately has become a challenge faced by logistics companies. With the continuous development of logistics business, the accuracy, timeliness and comprehensiveness of large-ticket goods monitoring are increasingly required, and the existing monitoring methods can no longer meet actual needs. Summary of the invention

[0003] The present invention provides an early warning method, device and equipment for logistics goods, which can realize comprehensive, real-time and accurate monitoring of large-ticket goods in the entire logistics transportation process, effectively improving the efficiency and quality of logistics transportation.

[0004] In one aspect, the present invention provides an early warning method for logistics goods, the method comprising: Obtain historical information archives and key logistics information of historical logistics goods within the historical period; Determine historical transportation data based on the historical information archive of the historical logistics goods and key logistics information; According to the historical transportation data and the real-time traffic information of the current logistics goods, the time when the current logistics goods arrive at the destination is predicted, and an arrival time notification message is sent to the consignee; Determine whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; If the quality of the current logistics goods is affected, a quality warning message is issued and a processing strategy is generated according to the influencing conditions.

[0005] Optionally, the acquisition of historical information archives and key logistics information of historical logistics goods within a historical period includes: Collecting real-time status information of logistics goods in the logistics platform; the real-time status information includes at least one of weight, internal pressure, and packaging information; Constructing an initial information file of the logistics goods according to the real-time status information; Filtering out information files of historical logistics goods within the historical period from the initial information files to obtain the historical information files; Obtain key logistics information of historical logistics goods during the historical period.

[0006] Optionally, constructing the initial information file of the logistics goods according to the real-time status information includes: Obtaining logistics order information of the logistics goods; The logistics order information and the real-time status information of the logistics goods are stored to construct an electronic tag for the logistics goods; Constructing a label information association relationship based on the correspondence between the electronic label identification of the logistics goods and the information stored in the electronic label; The label information association relationship is stored in the logistics information management system to form the initial information file of the logistics goods.

[0007] Optionally, the obtaining of key logistics information of historical logistics goods within the historical period includes: Deploy smart sensors at key locations of logistic transportation of historical logistic goods during the historical period; Collecting real-time logistics information of the historical logistics goods based on the intelligent sensor; The key logistics information is screened out from the real-time logistics information, and the key logistics information is sent to a logistics information management system.

[0008] Optionally, the smart sensor includes a geographic location sensor, an environmental parameter sensor, a vehicle operation status sensor, and a video monitoring device, and the real-time logistics information of the historical logistics goods collected based on the smart sensor includes: Collecting real-time location information of the historical logistics goods based on the geographic location sensor; Collecting real-time environmental information of the historical logistics goods based on the environmental parameter sensor; The real-time vehicle condition of the transportation vehicle of the historical logistics goods is collected based on the vehicle operation status sensor; Collecting real-time packaging information of the historical logistics goods based on the video monitoring equipment; The real-time location information, real-time environmental information, real-time vehicle condition and real-time packaging information of the historical logistics goods are determined as the real-time logistics information of the historical logistics goods.

[0009] Optionally, the method further includes: Obtaining the scheduled route and safety environment information of the current logistics goods; When it is detected that the real-time location information of the current logistics goods deviates from the predetermined route, a route deviation warning is issued; When it is detected that the real-time environmental information of the current logistics goods does not match the safety environmental information, an environmental abnormality warning is issued; When it is detected that the real-time vehicle condition of the transport vehicle of the current logistics goods is abnormal, a vehicle failure warning is issued; When it is detected that the packaging of the current logistics goods is abnormal, a packaging abnormality warning is issued.

[0010] Optionally, the method further includes: When at least one of the following abnormal warnings, namely, route deviation warning, environmental abnormality warning, vehicle failure warning, and packaging abnormality warning, is detected, a warning notification message is sent to the responsible user using a variety of communication methods; According to the preset exception handling strategy, the target handling strategy corresponding to the exception warning is searched, and an exception handling instruction is generated.

[0011] Another aspect provides an early warning device for logistics goods, the device comprising: Information acquisition module, used to obtain historical information archives and key logistics information of historical logistics goods within a historical period; A historical data determination module, used to determine historical transportation data based on the historical information archive of the historical logistics goods and key logistics information; A message sending module is used to predict the time when the current logistics goods arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee; A judgment module, used to judge whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; The strategy generation module is used to issue quality warning information and generate a processing strategy according to the influencing conditions if the quality of the current logistics goods is affected.

[0012] Optionally, the information acquisition module includes: An information collection unit, used to collect real-time status information of logistics goods in the logistics platform; the real-time status information includes at least one of weight, internal pressure, and packaging information; An initial information file building unit, used to build the initial information file of the logistics goods according to the real-time status information; A historical information archive determining unit, configured to filter out information archives of historical logistics goods within the historical period from the initial information archives to obtain the historical information archives; The key logistics information acquisition unit is used to acquire the key logistics information of the historical logistics goods within the historical period.

[0013] Optionally, the initial information archive construction unit includes: A logistics order acquisition subunit is used to acquire the logistics order information of the logistics goods; An electronic label construction subunit, used to store the logistics order information and the real-time status information of the logistics goods, and to construct an electronic label for the logistics goods; A relationship building subunit, used to build a tag information association relationship according to the electronic tag identification of the logistics goods and the corresponding relationship between the information stored in the electronic tag; The initial information file forming subunit is used to store the label information association relationship in the logistics information management system to form the initial information file of the logistics goods.

[0014] Optionally, the key logistics information acquisition unit includes: A sensor deployment subunit, for deploying intelligent sensors at key locations of logistics transportation of historical logistics goods during the historical period; A real-time information collection subunit, used for collecting the real-time logistics information of the historical logistics goods based on the intelligent sensor; The key information sending subunit is used to filter out key logistics information from the real-time logistics information and send the key logistics information to the logistics information management system.

[0015] Optionally, the smart sensor includes a geographic location sensor, an environmental parameter sensor, a vehicle operating status sensor, and a video monitoring device, and the sensor deployment subunit is further used for: Collecting real-time location information of the historical logistics goods based on the geographic location sensor; Collecting real-time environmental information of the historical logistics goods based on the environmental parameter sensor; The real-time vehicle condition of the transportation vehicle of the historical logistics goods is collected based on the vehicle operation status sensor; Collecting real-time packaging information of the historical logistics goods based on the video monitoring equipment; The real-time location information, real-time environmental information, real-time vehicle condition and real-time packaging information of the historical logistics goods are determined as the real-time logistics information of the historical logistics goods.

[0016] Optionally, the device further comprises: An information acquisition module is used to obtain the scheduled route and safety environment information of the current logistics goods; A first warning module is used to issue a route deviation warning when it is detected that the real-time location information of the current logistics goods deviates from the predetermined route; A second warning module is used to issue an environmental abnormality warning when it is detected that the real-time environmental information of the current logistics goods does not match the safety environment information; The third warning module is used to issue a vehicle failure warning when it detects that the real-time vehicle condition of the transport vehicle of the current logistics goods is abnormal; The fourth early warning module is used to issue a packaging abnormality early warning when it is detected that the packaging of the current logistics goods is abnormal.

[0017] Optionally, the device further comprises: A message sending module, used to send a warning notification message to a responsible user by using multiple communication methods when at least one of the abnormal warnings of route deviation warning, environmental abnormality warning, vehicle failure warning, and packaging abnormality warning occurs; The exception instruction generation module is used to find the target processing strategy corresponding to the exception warning according to the preset exception processing strategy, and generate an exception processing instruction.

[0018] On the other hand, an electronic device is provided, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the early warning method for logistics goods as described above.

[0019] On the other hand, a computer storage medium is provided, which stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by a processor to implement the early warning method for logistics goods as described above.

[0020] On the other hand, a computer program product or a computer program is provided, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes to implement the above-mentioned early warning method for logistics goods.

[0021] The early warning method, device and equipment for logistics goods provided by the present invention have the following technical effects: The present invention obtains historical information archives and key logistics information of historical logistics goods within a historical period; Based on the historical information archives and key logistics information of the historical logistics goods, determine the historical transportation data; based on the historical transportation data and the real-time road condition information of the current logistics goods, predict the time for the current logistics goods to arrive at the destination, and send an arrival time notification message to the consignee; based on the temperature changes and humidity changes of the current logistics goods during transportation, determine whether the quality of the current logistics goods is affected; if the quality of the current logistics goods is affected, issue a quality warning message and generate a processing strategy based on the influencing conditions. The present invention can achieve comprehensive, real-time, and accurate monitoring of large-ticket goods throughout the entire logistics transportation process, effectively improve the efficiency and quality of logistics transportation, reduce the risk of cargo loss, and provide logistics companies and customers with more reliable and convenient logistics services. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions and advantages of the embodiments of this specification or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a schematic diagram of an early warning system for logistics goods provided in an embodiment of this specification; Figure 2 It is a flow chart of a method for early warning of logistics goods provided in an embodiment of this specification; Figure 3 It is a flowchart of a method for obtaining historical information archives and key logistics information of historical logistics goods within a historical period provided by an embodiment of this specification; Figure 4 It is a flowchart of a method for constructing the initial information file of the logistics goods according to the real-time status information provided by an embodiment of this specification; Figure 5 It is a flowchart of a method for obtaining key logistics information of historical logistics goods within the historical period provided by an embodiment of this specification; Figure 6 It is a structural schematic diagram of an early warning device for logistics goods provided in an embodiment of this specification; Figure 7 It is a structural diagram of a server provided in an embodiment of this specification. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0026] See also Figure 1 , Figure 1 is a schematic diagram of an early warning system for logistics goods provided in an embodiment of this specification, such as Figure 1 As shown, the early warning system for logistics goods may include at least a server 01 and a client 02.

[0027] Specifically, in the embodiments of this specification, the server 01 may include an independently operated server, or a distributed server, or a server cluster composed of multiple servers, and may also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Server 01 may include a network communication unit, a processor, and a memory, etc. Specifically, the server 01 can be used to obtain historical information archives and key logistics information of historical logistics goods within a historical period; determine historical transportation data based on the historical information archives and key logistics information of the historical logistics goods; predict the time when the current logistics goods arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee; determine whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; if the quality of the current logistics goods is affected, issue a quality warning message and generate a processing strategy according to the influencing conditions.

[0028] Specifically, in the embodiments of this specification, the client 02 may include physical devices such as smart phones, desktop computers, tablet computers, laptop computers, digital assistants, smart wearable devices, smart speakers, vehicle terminals, smart TVs, etc., and may also include software running in physical devices, such as web pages provided by some service providers to users, or applications provided by these service providers to users. Specifically, the client 02 may be used to query the logistics information of logistics goods online.

[0029] The following describes an early warning method for logistics goods of the present invention. Figure 2 It is a flowchart of a method for early warning of logistics goods provided in an embodiment of this specification. This specification provides method operation steps as described in the embodiment or flowchart, but may include more or fewer operation steps based on conventional or non-creative labor. The order of steps listed in the embodiment is only one way of executing the steps among many orders, and does not represent the only order of execution. When the actual system or server product is executed, it can be executed in sequence or in parallel (for example, in a parallel processor or multi-threaded processing environment) according to the method shown in the embodiment or the drawings. Specifically, Figure 2 As shown, the method may include: S201: Obtain historical information archives and key logistics information of historical logistics goods within a historical period. In the embodiments of this specification, historical logistics goods may be large-ticket goods in logistics packages. The real-time status information of logistics goods is stored in the historical information archive; the real-time status information includes at least one of weight, internal pressure, and packaging information; key logistics information may be information collected by smart sensors deployed at key locations of logistics transportation. Smart sensors include at least one of geographic location sensors, environmental parameter sensors, vehicle operation status sensors, and video monitoring equipment.

[0030] S203: Determine historical transportation data based on the historical information archive of the historical logistics goods and key logistics information.

[0031] In the embodiments of the present specification, historical transportation data may be determined based on data analysis of historical information archives of historical logistics goods and key logistics information.

[0032] S205: Predict the time when the current logistics goods arrive at the destination based on the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee.

[0033] In the embodiments of the present specification, the time when the goods arrive at the destination can be predicted based on historical transportation data and real-time traffic information, and a notification can be sent to the consignee in advance.

[0034] S207: Determine whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during the transportation process.

[0035] In the embodiments of this specification, by analyzing the temperature and humidity change trends of the goods during transportation, it is determined whether the goods may be affected in quality.

[0036] S209: If the quality of the current logistics goods is affected, a quality warning message is issued and a processing strategy is generated according to the influencing conditions.

[0037] In the embodiment of the present specification, if the quality of the current logistics goods is affected, an early warning is issued in time and corresponding processing suggestions are provided.

[0038] In the embodiments of this specification, Figure 3 As shown, the acquisition of historical information archives and key logistics information of historical logistics goods within the historical period includes: S20101: Collecting real-time status information of logistics goods in the logistics platform; the real-time status information includes at least one of weight, internal pressure, and packaging information; S20103: constructing an initial information file of the logistics goods according to the real-time status information; S20105: Filtering out information files of historical logistics goods in the historical period from the initial information files to obtain the historical information files; S20107: Obtain key logistics information of historical logistics goods during the historical period.

[0039] In the embodiments of the present specification, an initial information file of the logistics goods can be constructed according to the real-time status information of the logistics goods in the logistics platform; and the information files of the historical logistics goods in the historical period can be screened out from the initial information file to obtain the historical information file.

[0040] In the embodiments of this specification, Figure 4 As shown, the initial information file of the logistics goods is constructed according to the real-time status information, including: S201031: Obtaining logistics order information of the logistics goods; S201033: storing the logistics order information and the real-time status information of the logistics goods, and constructing an electronic tag for the logistics goods; S201035: constructing a label information association relationship according to the correspondence between the electronic label identification of the logistics goods and the information stored in the electronic label; S201037: Storing the label information association relationship in the logistics information management system to form an initial information file of the logistics goods.

[0041] In the embodiments of this specification, logistics order information may include the name, specifications, quantity, consignor, consignee, etc. of the goods; a new type of multifunctional electronic tag is used, which, in addition to the basic cargo information storage function (such as the name, specifications, quantity, consignor, consignee, etc. of the goods), also integrates a sensor module, which can collect the status information of the goods themselves in real time, such as the weight change of the goods (which can be used to detect whether the goods are lost or stolen), the internal pressure (suitable for some pressure-sensitive goods, such as fragile goods, etc.) and the integrity of the packaging (by monitoring parameters such as stress distribution on the packaging).

[0042] During the cargo packaging process, this multifunctional electronic tag is firmly attached to the cargo or cargo packaging, and the wireless communication technology is used to associate the tag with the initial status information of the cargo and upload it to the logistics information management system to form the initial information file of the cargo.

[0043] In the embodiments of this specification, Figure 5 As shown, the key logistics information of historical logistics goods in the historical period is obtained, including: S501: deploying intelligent sensors at key locations of logistics transportation of historical logistics goods during the historical period; S503: Collecting real-time logistics information of the historical logistics goods based on the intelligent sensor; S505: Filter out key logistics information from the real-time logistics information, and send the key logistics information to a logistics information management system.

[0044] In the embodiments of this specification, a series of intelligent sensor nodes can be deployed at key locations in logistics and transportation links such as transport vehicles, ships, warehouses, etc. to build a comprehensive Internet of Things monitoring network. After receiving massive data from various sensor nodes and electronic tags, the logistics information management center uses big data analysis technology to deeply mine and analyze the data.

[0045] In the embodiment of this specification, the smart sensor includes a geographic location sensor, an environmental parameter sensor, a vehicle operation status sensor, and a video monitoring device. The real-time logistics information of the historical logistics goods collected based on the smart sensor includes: Collecting real-time location information of the historical logistics goods based on the geographic location sensor; Collecting real-time environmental information of the historical logistics goods based on the environmental parameter sensor; The real-time vehicle condition of the transportation vehicle of the historical logistics goods is collected based on the vehicle operation status sensor; Collecting real-time packaging information of the historical logistics goods based on the video monitoring equipment; The real-time location information, real-time environmental information, real-time vehicle condition and real-time packaging information of the historical logistics goods are determined as the real-time logistics information of the historical logistics goods.

[0046] In the embodiment of the present specification, the real-time environmental information includes at least one of temperature, humidity, light and air quality information; the real-time vehicle condition includes at least one of vehicle speed, acceleration, fuel consumption and tire pressure.

[0047] In the embodiments of this specification, by establishing data models and algorithms, multi-dimensional analysis and prediction of the transportation trajectory, transportation timeliness, environmental adaptability, vehicle operation status, etc. of the goods are performed. For example, based on historical transportation data and real-time road conditions, the time when the goods arrive at the destination is predicted, and a notification is sent to the consignee in advance; by analyzing the temperature and humidity change trends of the goods during transportation, it is determined whether the goods may be affected by the quality, and early warnings are issued in time and corresponding processing suggestions are provided, such as adjusting transportation environment parameters or giving priority to the inspection and processing of the goods. Based on the data analysis results, intelligent support is provided for the operational decisions of logistics companies, such as optimizing transportation routes, rationally allocating transportation resources, formulating cargo storage strategies, etc., to improve the overall efficiency and quality of logistics transportation.

[0048] In the embodiment of this specification, the method further includes: Obtaining the scheduled route and safety environment information of the current logistics goods; When it is detected that the real-time location information of the current logistics goods deviates from the predetermined route, a route deviation warning is issued; When it is detected that the real-time environmental information of the current logistics goods does not match the safety environmental information, an environmental abnormality warning is issued; When it is detected that the real-time vehicle condition of the transport vehicle of the current logistics goods is abnormal, a vehicle failure warning is issued; When it is detected that the packaging of the current logistics goods is abnormal, a packaging abnormality warning is issued.

[0049] In the embodiments of this specification, the real-time location information of the current logistics goods can be collected through the geographic location sensor; the real-time environmental information of the current logistics goods can be collected based on the environmental parameter sensor, including temperature, humidity, light and air quality information; the real-time vehicle condition of the transportation vehicle of the current logistics goods can be collected based on the vehicle operation status sensor, including vehicle speed, acceleration, fuel consumption, and tire pressure; the real-time packaging information of the current logistics goods can be collected based on the video monitoring equipment; and a complete real-time early warning mechanism is established based on big data analysis and intelligent decision support systems. When abnormal conditions are detected during the transportation of goods, such as abnormal deviation of the location of the goods from the scheduled route, environmental parameters exceeding the safety range, vehicle failure, etc., the system will immediately and automatically send out an early warning signal and notify the relevant responsible persons, including logistics dispatchers, transportation drivers, warehouse managers, etc., through various means (SMS, emails, system pop-ups, etc.).

[0050] In the embodiment of this specification, the method further includes: When at least one of the following abnormal warnings, namely, route deviation warning, environmental abnormality warning, vehicle failure warning, and packaging abnormality warning, is detected, a warning notification message is sent to the responsible user using a variety of communication methods; According to the preset exception handling strategy, the target handling strategy corresponding to the exception warning is searched, and an exception handling instruction is generated.

[0051] In the embodiments of this specification, when an abnormal warning corresponding to an abnormal situation occurs, an emergency response plan can be activated, and corresponding processing suggestions and instructions can be automatically generated according to pre-set rules and processes. For example, when a vehicle failure is found, the system automatically recommends a nearby maintenance station and notifies the transport driver to go for maintenance; in the case of abnormal environmental parameters, the environmental control settings of the transport equipment are automatically adjusted (such as adjusting the temperature and humidity of the refrigerated truck) or relevant personnel are notified to take emergency measures to ensure the safety of the goods.

[0052] It can be seen from the technical solutions provided by the above embodiments of this specification that the embodiments of this specification obtain historical information archives and key logistics information of historical logistics goods within a historical period; determine historical transportation data based on the historical information archives and key logistics information of the historical logistics goods; predict the time for the current logistics goods to arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee; determine whether the quality of the current logistics goods is affected according to the temperature changes and humidity changes of the current logistics goods during transportation; if the quality of the current logistics goods is affected, issue a quality warning message and generate a processing strategy based on the influencing conditions. The present invention can achieve comprehensive, real-time and accurate monitoring of large-ticket goods throughout the entire logistics transportation process, effectively improve the efficiency and quality of logistics transportation, reduce the risk of cargo loss, and provide logistics companies and customers with more reliable and convenient logistics services.

[0053] The embodiment of this specification also provides an early warning device for logistics goods, such as Figure 6 As shown, the device comprises: The information acquisition module 610 is used to acquire the historical information archives and key logistics information of historical logistics goods within the historical period; A historical data determination module 620, for determining historical transportation data based on the historical information archive of the historical logistics goods and key logistics information; The message sending module 630 is used to predict the time when the current logistics goods arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee; A judgment module 640 is used to judge whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during the transportation process; The strategy generation module 650 is used to issue quality warning information and generate a processing strategy according to the influencing conditions if the quality of the current logistics goods is affected.

[0054] Optionally, the information acquisition module includes: An information collection unit, used to collect real-time status information of logistics goods in the logistics platform; the real-time status information includes at least one of weight, internal pressure, and packaging information; An initial information file building unit, used to build the initial information file of the logistics goods according to the real-time status information; A historical information archive determining unit, configured to filter out information archives of historical logistics goods within the historical period from the initial information archives to obtain the historical information archives; The key logistics information acquisition unit is used to acquire the key logistics information of the historical logistics goods within the historical period.

[0055] Optionally, the initial information archive construction unit includes: A logistics order acquisition subunit is used to acquire the logistics order information of the logistics goods; An electronic label construction subunit, used to store the logistics order information and the real-time status information of the logistics goods, and to construct an electronic label for the logistics goods; A relationship building subunit, used to build a tag information association relationship according to the electronic tag identification of the logistics goods and the corresponding relationship between the information stored in the electronic tag; The initial information file forming subunit is used to store the label information association relationship in the logistics information management system to form the initial information file of the logistics goods.

[0056] Optionally, the key logistics information acquisition unit includes: A sensor deployment subunit, for deploying intelligent sensors at key locations of logistics transportation of historical logistics goods during the historical period; A real-time information collection subunit, used for collecting the real-time logistics information of the historical logistics goods based on the intelligent sensor; The key information sending subunit is used to filter out key logistics information from the real-time logistics information and send the key logistics information to the logistics information management system.

[0057] Optionally, the smart sensor includes a geographic location sensor, an environmental parameter sensor, a vehicle operating status sensor, and a video monitoring device, and the sensor deployment subunit is further used for: Collecting real-time location information of the historical logistics goods based on the geographic location sensor; Collecting real-time environmental information of the historical logistics goods based on the environmental parameter sensor; The real-time vehicle condition of the transportation vehicle of the historical logistics goods is collected based on the vehicle operation status sensor; Collecting real-time packaging information of the historical logistics goods based on the video monitoring equipment; The real-time location information, real-time environmental information, real-time vehicle condition and real-time packaging information of the historical logistics goods are determined as the real-time logistics information of the historical logistics goods.

[0058] Optionally, the device further comprises: An information acquisition module is used to obtain the scheduled route and safety environment information of the current logistics goods; A first warning module is used to issue a route deviation warning when it is detected that the real-time location information of the current logistics goods deviates from the predetermined route; A second warning module is used to issue an environmental abnormality warning when it is detected that the real-time environmental information of the current logistics goods does not match the safety environment information; The third warning module is used to issue a vehicle failure warning when it detects that the real-time vehicle condition of the transport vehicle of the current logistics goods is abnormal; The fourth early warning module is used to issue a packaging abnormality early warning when it is detected that the packaging of the current logistics goods is abnormal.

[0059] Optionally, the device further comprises: A message sending module, used to send a warning notification message to a responsible user by using multiple communication methods when at least one of the abnormal warnings of route deviation warning, environmental abnormality warning, vehicle failure warning, and packaging abnormality warning occurs; The exception instruction generation module is used to find the target processing strategy corresponding to the exception warning according to the preset exception processing strategy, and generate an exception processing instruction.

[0060] The device and method embodiments in the described device embodiments are based on the same inventive concept.

[0061] An embodiment of the present specification provides an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the early warning method for logistics goods provided in the above method embodiment.

[0062] An embodiment of the present invention also provides a computer storage medium, which can be set in a terminal to store at least one instruction or at least one program related to an early warning method for logistics goods in a method embodiment. The at least one instruction or at least one program is loaded and executed by the processor to implement the early warning method for logistics goods provided in the above method embodiment.

[0063] The embodiment of the present invention also provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes to implement the early warning method for logistics goods provided in the above method embodiment.

[0064] Optionally, in the embodiments of this specification, the storage medium may be located in at least one of the multiple network servers of the computer network. Optionally, in this embodiment, the storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0065] The memory described in the embodiments of this specification can be used to store software programs and modules, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs required for functions, etc.; the data storage area may store data created according to the use of the device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory may also include a memory controller to provide the processor with access to the memory.

[0066] The early warning method for logistics goods provided in the embodiments of this specification can be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking running on a server as an example, Figure 7 This is a hardware structure block diagram of a server of a logistics cargo early warning method provided in an embodiment of this specification. Figure 7As shown, the server 700 may have relatively large differences due to different configurations or performances, and may include one or more central processing units (CPU) 710 (the central processing unit 710 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 730 for storing data, and one or more storage media 720 (such as one or more mass storage devices) for storing application programs 723 or data 722. Among them, the memory 730 and the storage medium 720 can be short-term storage or permanent storage. The program stored in the storage medium 720 may include one or more modules, each of which may include a series of instruction operations on the server. Furthermore, the central processing unit 710 can be configured to communicate with the storage medium 720 and execute a series of instruction operations in the storage medium 720 on the server 700. The server 700 may also include one or more power supplies 760, one or more wired or wireless network interfaces 750, one or more input and output interfaces 740, and / or one or more operating systems 721, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.

[0067] The input / output interface 740 may be used to receive or send data via a network. A specific example of the network may include a wireless network provided by a communication provider of the server 700. In one example, the input / output interface 740 includes a network adapter (Network Interface Controller, NIC), which may be connected to other network devices via a base station so as to communicate with the Internet. In one example, the input / output interface 740 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0068] It can be understood by those skilled in the art that Figure 7 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 7 More or fewer components as shown, or with Figure 7 Different configurations shown.

[0069] It can be seen from the embodiments of the early warning method, device, electronic device or storage medium of the logistics goods provided by the present invention that the present invention obtains the historical information archives and key logistics information of the historical logistics goods in the historical period; determines the historical transportation data based on the historical information archives and key logistics information of the historical logistics goods; predicts the time when the current logistics goods arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and sends the arrival time notification message to the consignee; judges whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; if the quality of the current logistics goods is affected, issues quality early warning information and generates a processing strategy according to the influencing conditions. The present invention can realize comprehensive, real-time and accurate monitoring of large-ticket goods in the entire logistics transportation process, effectively improves the efficiency and quality of logistics transportation, reduces the risk of cargo loss, and provides logistics companies and customers with more reliable and convenient logistics services.

[0070] It should be noted that the above sequence of the embodiments of this specification is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0072] A person skilled in the art will appreciate that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0073] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for early warning of logistics goods, characterized in that: The method comprises: Obtain historical information archives and key logistics information of historical logistics goods within the historical period; Determine historical transportation data based on the historical information archive of the historical logistics goods and key logistics information; According to the historical transportation data and the real-time traffic information of the current logistics goods, the time when the current logistics goods arrive at the destination is predicted, and an arrival time notification message is sent to the consignee; Determine whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; If the quality of the current logistics goods is affected, a quality warning message is issued and a processing strategy is generated according to the influencing conditions.

2. The method according to claim 1, characterized in that The acquisition of historical information archives and key logistics information of historical logistics goods within the historical period includes: Collecting real-time status information of logistics goods in the logistics platform; the real-time status information includes at least one of weight, internal pressure, and packaging information; Constructing an initial information file of the logistics goods according to the real-time status information; Filtering out information files of historical logistics goods within the historical period from the initial information files to obtain the historical information files; Obtain key logistics information of historical logistics goods during the historical period.

3. The method according to claim 2, characterized in that The constructing the initial information file of the logistics goods according to the real-time status information includes: Obtaining logistics order information of the logistics goods; The logistics order information and the real-time status information of the logistics goods are stored to construct an electronic tag for the logistics goods; Constructing a label information association relationship based on the correspondence between the electronic label identification of the logistics goods and the information stored in the electronic label; The label information association relationship is stored in the logistics information management system to form the initial information file of the logistics goods.

4. The method according to claim 2, characterized in that: The obtaining of key logistics information of historical logistics goods within the historical period includes: Deploy smart sensors at key locations of logistic transportation of historical logistic goods during the historical period; Collecting real-time logistics information of the historical logistics goods based on the intelligent sensor; The key logistics information is screened out from the real-time logistics information, and the key logistics information is sent to a logistics information management system.

5. The method according to claim 4, characterized in that The smart sensor includes a geographic location sensor, an environmental parameter sensor, a vehicle operation status sensor, and a video monitoring device. The real-time logistics information of the historical logistics goods collected based on the smart sensor includes: Collecting real-time location information of the historical logistics goods based on the geographic location sensor; Collecting real-time environmental information of the historical logistics goods based on the environmental parameter sensor; The real-time vehicle condition of the transportation vehicle of the historical logistics goods is collected based on the vehicle operation status sensor; Collecting real-time packaging information of the historical logistics goods based on the video monitoring equipment; The real-time location information, real-time environmental information, real-time vehicle condition and real-time packaging information of the historical logistics goods are determined as the real-time logistics information of the historical logistics goods.

6. The method according to claim 1, characterized in that The method further comprises: Obtaining the scheduled route and safety environment information of the current logistics goods; When it is detected that the real-time location information of the current logistics goods deviates from the predetermined route, a route deviation warning is issued; When it is detected that the real-time environmental information of the current logistics goods does not match the safety environmental information, an environmental abnormality warning is issued; When it is detected that the real-time vehicle condition of the transport vehicle of the current logistics goods is abnormal, a vehicle failure warning is issued; When it is detected that the packaging of the current logistics goods is abnormal, a packaging abnormality warning is issued.

7. The method according to claim 6, characterized in that The method further comprises: When at least one of the following abnormal warnings, namely, route deviation warning, environmental abnormality warning, vehicle failure warning, and packaging abnormality warning, is detected, a warning notification message is sent to the responsible user using a variety of communication methods; According to the preset exception handling strategy, the target handling strategy corresponding to the exception warning is searched, and an exception handling instruction is generated.

8. An early warning device for logistics goods, characterized in that: The device comprises: Information acquisition module, used to obtain historical information archives and key logistics information of historical logistics goods within a historical period; A historical data determination module, used to determine historical transportation data based on the historical information archive of the historical logistics goods and key logistics information; A message sending module is used to predict the time when the current logistics goods arrive at the destination according to the historical transportation data and the real-time road condition information of the current logistics goods, and send an arrival time notification message to the consignee; A judgment module, used to judge whether the quality of the current logistics goods is affected according to the temperature change and humidity change of the current logistics goods during transportation; The strategy generation module is used to issue quality warning information and generate a processing strategy according to the influencing conditions if the quality of the current logistics goods is affected.

9. An electronic device, characterized in that: The device includes: a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the early warning method for logistics goods as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the early warning method for logistics goods as described in any one of claims 1-7.

Images