Supply chain logistics monitoring method, system and device and storage medium

Abstract

The invention discloses a supply chain logistics monitoring method, system and device and a storage medium. The method comprises the following steps: receiving position information reported by a target terminal; determining monitoring information of the target terminal; the monitoring information comprises preset path information of the target material, and the preset path information comprises node information and time range information; if the position information is inconsistent with the node information or the time corresponding to the position information is inconsistent with the time range information, sending a material deviation alarm for the target material to an application function; acquiring area information of the target terminal accessing a base station; and if the position information is not consistent with the area information, sending a material safety alarm for the target material to the application function. The problem of large-scale laying of infrastructures can be relieved, the logistics monitoring cost is reduced, the logistics monitoring efficiency is improved, and the method can be widely applied to the technical field of industrial Internet of Things.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial Internet of Things, and in particular to a supply chain logistics monitoring method, system, device and storage medium. Background Art

[0002] Material monitoring in the supply chain is a key link to ensure overall operational efficiency, cost control and customer satisfaction. Its importance is reflected in ensuring production continuity, cost control, risk management and compliance, enhancing customer satisfaction and data-driven decision optimization, etc. Material monitoring is the "nervous system" of the supply chain. Through real-time visualization and data analysis, enterprises can quickly respond to changes, reduce risks, improve efficiency, and ultimately maintain agility and customer trust in the highly competitive market.

[0003] In related technologies, material monitoring is carried out by manually inputting location information at each node on the path, or by methods such as limited small-area camera monitoring, etc., with low efficiency; while for material tracking in a large area, the laying cost of infrastructure is very high, resulting in an increase in enterprise costs. Summary of the Invention

[0004] The purpose of the present invention is to solve at least to a certain extent one of the technical problems existing in the prior art.

[0005] To this end, the purpose of the present invention is to provide an efficient and low-cost supply chain logistics monitoring method, system, device and storage medium.

[0006] On the one hand, an embodiment of the present invention provides a supply chain logistics monitoring method:

[0007] The supply chain logistics monitoring method of the embodiment of the present invention includes: receiving the location information reported by the target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material; determining the monitoring information of the target terminal; the monitoring information includes the preset path information of the target material, and the preset path information includes node information and time range information; if the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, a material deviation warning for the target material is sent to the application function; obtaining the area information of the base station accessed by the target terminal; if the location information is inconsistent with the area information, a material safety warning for the target material is sent to the application function. In this application, the path of the target terminal is monitored through the location information of the target terminal obtained by GPS or 5G positioning, and the safety of the target terminal is monitored through the area information of the accessed base station, which can alleviate the problem of large-scale infrastructure laying, reduce the cost of logistics monitoring, and is beneficial to improving the efficiency of logistics monitoring.

[0008] In addition, the supply chain logistics monitoring method according to the above embodiments of the present invention may further have the following additional technical features:

[0009] Further, in the supply chain logistics monitoring method of the embodiments of the present invention, determining the monitoring information of the target terminal includes:

[0010] Receiving a set of monitoring information of all materials sent by the application function through the network development function, and storing the set of monitoring information; the set of monitoring information includes identification information;

[0011] Querying and determining the monitoring information corresponding to the target terminal according to the identification information of the target material.

[0012] Further, in an embodiment of the present invention, the monitoring information includes encryption and decryption information, and the method further includes:

[0013] Performing decryption processing on the location information according to the encryption and decryption information to obtain the decrypted location information.

[0014] Further, in an embodiment of the present invention, the monitoring information includes alarm address information, and the method issues an alarm to the application function through the following steps:

[0015] Issuing a material deviation alarm to the application function according to the alarm address information to prompt the risk of material delay in arrival;

[0016] Or, issuing a material safety alarm to the application function according to the alarm address information to prompt the material safety risk.

[0017] Further, in an embodiment of the present invention, the method further includes:

[0018] If the location information reported by the target terminal is not received within the preset time, issuing a material location abnormality alarm to the application function to prompt the risk of target terminal failure.

[0019] Further, in an embodiment of the present invention, the method further includes:

[0020] Receiving a material query request from the application function;

[0021] Based on the query request, determining the current location and historical path information of the target material;

[0022] Returning the current location and the historical path information to the application function.

[0023] On the other hand, the present application provides a supply chain logistics monitoring method, including:

[0024] If the location information of the target terminal is inconsistent with the node information in the monitoring information, or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, receive a material deviation warning sent by the network data analysis function; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0025] If the location information is inconsistent with the area information of the base station accessed by the target terminal, receive a material safety warning sent by the network data analysis function.

[0026] On the other hand, an embodiment of the present invention provides a supply chain logistics monitoring system, including:

[0027] The first module is used for:

[0028] Receive the location information reported by the target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0029] Determine the monitoring information of the target terminal; the monitoring information includes the preset path information of the target material, and the preset path information includes node information and time range information;

[0030] If the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, send a material deviation warning for the target material to the application function;

[0031] Obtain the area information of the base station accessed by the target terminal;

[0032] If the location information is inconsistent with the area information, send a material safety warning for the target material to the application function;

[0033] Or,

[0034] The second module is used for:

[0035] If the location information of the target terminal is inconsistent with the node information in the monitoring information, or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, receive a material deviation warning sent by the network data analysis function; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0036] If the location information is inconsistent with the area information of the base station accessed by the target terminal, receive a material safety warning sent by the network data analysis function.

[0037] On the other hand, an embodiment of the present invention provides a supply chain logistics monitoring device, including:

[0038] At least one processor;

[0039] At least one memory for storing at least one program;

[0040] When the at least one program is executed by the at least one processor, the at least one processor implements the above-mentioned supply chain logistics monitoring method.

[0041] On the other hand, an embodiment of the present invention provides a storage medium storing a program executable by a processor, and the program executable by the processor is used to implement the above-mentioned supply chain logistics monitoring method when executed by the processor.

[0042] The supply chain logistics monitoring method provided by the present invention includes: receiving location information reported by a target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with target materials; determining monitoring information of the target terminal; the monitoring information includes preset path information of the target materials, and the preset path information includes node information and time range information; if the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, a material deviation warning for the target materials is sent to an application function; obtaining area information of a base station accessed by the target terminal; if the location information is inconsistent with the area information, a material safety warning for the target materials is sent to the application function. This application monitors the path of the target terminal through the location information of the target terminal obtained by GPS or 5G positioning, and monitors the safety of the target terminal through the area information of the accessed base station, which can alleviate the problem of large-scale infrastructure laying, reduce the cost of logistics monitoring, and is beneficial to improving the efficiency of logistics monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following introduces the related technical solution drawings in the embodiments of the present invention or the prior art. It should be understood that the drawings introduced below are only for conveniently and clearly expressing some embodiments of the technical solutions in the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative efforts.

[0044] Figure 1 It is a schematic flowchart of an embodiment of the logistics monitoring method provided by the present invention;

[0045] Figure 2 It is a schematic diagram of the supply chain material monitoring network architecture provided by the present invention;

[0046] Figure 3 It is a schematic flowchart of the material monitoring process initiated by AF provided by the present invention;

[0047] Figure 4 Schematic diagram of the material monitoring and warning process provided by the present invention;

[0048] Figure 5 Schematic diagram of the NWDAF reporting material exception process provided by the present invention;

[0049] Figure 6 Schematic diagram of the material location and path query process provided by the present invention;

[0050] Figure 7 Schematic diagram of the structure of an embodiment of the supply chain logistics monitoring system provided by the present invention;

[0051] Figure 8 Schematic diagram of the structure of an embodiment of the supply chain logistics monitoring device provided by the present invention. Detailed implementation manners

[0052] The embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation to the present invention. For the step numbers in the following embodiments, they are only set for the convenience of explanation and illustration, and no limitation is imposed on the order between the steps. The execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0053] First, the nouns involved in this application are explained:

[0054] Network Function (NF): A core network element in the 5G network.

[0055] Access and Mobility Management Function (AMF).

[0056] Location Management Function (LMF).

[0057] 5G base station (next generation node B, gNB).

[0058] Unified Data Management (UDM), which stores the subscribed information and registered dynamic information of users.

[0059] The Application Function (AF) refers to the application server outside the core network. In this solution, it refers to the enterprise's logistics supply chain monitoring and management server or the application server.

[0060] The Network Exposure Function (NEF) enables servers outside the 5G mobile network to access internal network elements of the core network or request corresponding services within the core network.

[0061] The Network Data Analytics Function (NWDAF) is dedicated to automatically calculating and analyzing the massive data in the 5G network to generate an analysis report.

[0062] Material monitoring in the supply chain is a crucial link in ensuring overall operational efficiency, cost control, and customer satisfaction. Its importance is reflected in ensuring production continuity, cost control, risk management and compliance, enhancing customer satisfaction, and optimizing data-driven decision-making. Material monitoring is the "nervous system" of the supply chain. Through real-time visualization and data analysis, enterprises can quickly respond to changes, reduce risks, improve efficiency, and ultimately maintain agility and customer trust in the highly competitive market. Ignoring this link may lead to a chain reaction, from production delays to damage to brand reputation, and even trigger a financial crisis.

[0063] With its massive access characteristics, 5G technology supports the access of a large number of Internet of Things (IoT) terminals, becoming an important part of the basic network infrastructure for the IoT, providing revolutionary technical support for material monitoring in the supply chain and significantly improving the real-time, accuracy, and intelligence levels.

[0064] The existing technologies mainly monitor materials by manually entering location information at each node on the path or through limited small-area camera monitoring. For large-area material tracking, the infrastructure laying cost is very high, resulting in increased enterprise costs and being unrealistic. Moreover, it cannot verify whether the location where the material is entered is fabricated data by humans and other electronic devices, and there is no means of verification.

[0065] The present invention provides a method for tracking the logistics supply chain situation of materials by combining the operator's mobile network. This method uses the operator's mobile network, which can reduce the cost of enterprises laying independent 5G infrastructure and uses the wireless access area to verify the location reported by the terminal, further improving the security of materials in the supply chain.

[0066] The supply chain logistics monitoring method and system proposed according to the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. First, the supply chain logistics monitoring method proposed according to the embodiments of the present invention will be described with reference to the accompanying drawings.

[0067] In an embodiment of the present invention, a supply chain logistics monitoring method is provided. The supply chain logistics monitoring method in the embodiment of the present invention can be applied to a terminal, or to a server, or can also be software running on a terminal or a server, etc. The terminal can be a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or can also be a cloud server providing 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, and big data and artificial intelligence platforms. Referring to Figure 1 , the supply chain logistics monitoring method in the embodiment of the present invention can be used for network data analysis functions, mainly including the following steps:

[0068] S100: Receive the location information reported by the target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0069] S200: Determine the monitoring information of the target terminal; the monitoring information includes the preset path information of the target material, and the preset path information includes node information and time range information;

[0070] S300: If the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, send a material deviation warning for the target material to the application function;

[0071] S400: Obtain the area information of the base station accessed by the target terminal;

[0072] S500: If the location information is inconsistent with the area information, send a material safety warning for the target material to the application function.

[0073] In some possible embodiments, the target terminal reports location information by accessing the mobility management function. The target terminal can report location information periodically or, according to requirements, report location information at a preset time. The target terminal in this application can be forcibly bound to the material. For example, an Internet of Things electronic terminal device is embedded in the material; the target terminal can also be some electronic tags or portable devices placed inside the packaging of the material, which can not only achieve location positioning but also be reused. The monitoring information of the target terminal can be obtained through the application function. The monitoring information includes the preset transmission path for all materials, which is convenient for subsequent monitoring of the location of the materials. It can be understood that the location information is the current location of the target material, the node information is the preset location of the target material, and the time range information is the time period at the preset node. In some embodiments, if the location information is consistent with the node information, the time corresponding to the location information is consistent with the time range information, and the location information is inconsistent with the area information, a material safety warning for the target material is issued to the application function. The area information is determined by the base station accessed by the target terminal. If the target terminal related to the target material is artificially intervened or maliciously modified, the safety of the target material can be verified through the area information accessed by the base station, improving the safety performance of the material.

[0074] Further, for the supply chain logistics monitoring method according to an embodiment of the present invention, determining the monitoring information of the target terminal includes:

[0075] Receiving the monitoring information set of all materials sent by the application function through the network development function, and storing the monitoring information set; the monitoring information set includes identification information;

[0076] Querying and determining the monitoring information corresponding to the target terminal according to the identification information of the target material.

[0077] Further, in an embodiment of the present invention, the monitoring information includes encryption and decryption information, and the method further includes:

[0078] Performing decryption processing on the location information according to the encryption and decryption information to obtain the decrypted location information.

[0079] Further, in an embodiment of the present invention, the monitoring information includes warning address information, and the method issues a warning to the application function through the following steps:

[0080] Issuing a material deviation warning to the application function according to the warning address information to prompt the risk of material delay in arrival;

[0081] Or, issuing a material safety warning to the application function according to the warning address information to prompt the material safety risk.

[0082] Further, in an embodiment of the present invention, the method further includes:

[0083] If the location information reported by the target terminal is not received within a preset time, a material location anomaly warning is sent to the application function to prompt the risk of target terminal failure.

[0084] Further, in an embodiment of the present invention, the method further includes:

[0085] Receiving a material query request from the application function;

[0086] Based on the query request, determining the current location and historical path information of the target material;

[0087] Returning the current location and the historical path information to the application function.

[0088] On the other hand, the present application provides a supply chain logistics monitoring method for an application function, including:

[0089] If the location information of the target terminal is inconsistent with the node information in the monitoring information or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, receiving a material deviation warning sent by the network data analysis function; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0090] If the location information is inconsistent with the area information of the base station accessed by the target terminal, receiving a material security warning sent by the network data analysis function.

[0091] Next, a specific embodiment is used to introduce the supply chain logistics monitoring method provided by the present application in detail:

[0092] I. Network architecture:

[0093] Figure 2 It is a network architecture diagram for supply chain material monitoring. In the figure, AF is the monitoring application of the supply chain, responsible for sending material monitoring commands and data to the 5G core network. NEF is the security interface network element of the 5G core network facing the outside. NWDAF is the network data analysis network element for analyzing material location and time data. AMF is the terminal access and mobility management network element. gNB is the 5G base station, providing wireless access to the terminal. UE is the network terminal, responsible for reporting the terminal location.

[0094] II. Material monitoring route nodes and time input.

[0095] Figure 3 It is a material monitoring flowchart of AF. In the figure, AF inputs the information for supply chain material tracking, that is, the monitoring information, which includes:

[0096] (1) Identification information, material identification (uniquely identifies a terminal, and globally unique identifiers such as IMSI can be used);

[0097] (2) Preset path information, path nodes of the material (node information) and the time range to reach the corresponding nodes (time range information, for example, node at location A: XX:XX:XX seconds on XX / XX / XXXX to YY:YY:YY seconds on XX / YY / XXXX, node at location B: XX:XX:XX seconds on XX / XX / XXXX to YY:YY:YY seconds on XX / YY / XXXX);

[0098] (3) Encryption and decryption information, the decryption private key for the encrypted location information reported by the terminal (the encryption algorithm is not limited, and algorithms such as RSA of asymmetric encryption can be used);

[0099] (4) Alarm address information, the alarm notification address for the NWDAF data analysis exception to notify the AF.

[0100] The NEF network element forwards the request message of the AF to the NWDAF network element, and the NWDAF network element saves the monitoring information locally.

[0101] III. Analysis and alarm of material delay and safety risks.

[0102] Figure 4 It is a flow chart for material monitoring and alarm (the relationship between the terminal and the material, the material and the terminal can be a common object, or a reusable portable device on the material, such as an electronic tag, etc.). The specific implementation process is as follows:

[0103] (1) After the terminal confirms its location through methods such as GPS or 5G high-precision positioning, it can report the encrypted terminal location information (to prevent being intercepted midway and improve data security) to the NWDAF network element through the base station and the AMF;

[0104] (2) After receiving the location information reported by the terminal, the NWDAF network element decrypts the information using the private key of the corresponding terminal saved previously, and judges whether there is a deviation between the current node and node time of the material and the set path nodes and time. If there is, it reports an alarm notification to the AF through the NEF, so that the enterprise can timely discover the risks of material safety or delayed arrival in the logistics and make early production and safety plans;

[0105] (3) If the NWDAF does not detect any abnormalities in the current material location and time, it will query the base station area to which the current terminal is connected from the AMF to compare the accuracy of the information reported by the terminal. If it is found that the location reported by the terminal does not match the area where the base station is located, a location security alert will be reported to the AF network element (the purpose is to ensure the security of the materials and prevent them from being misappropriated, stolen, or replaced without permission). After receiving the alert, the enterprise can verify the materials and make early risk plans. To prevent electronic terminals from simulating the target material to report the location, or the electronic terminal's program being rewritten to report incorrect locations, the location security is used to confirm the correctness of the location.

[0106] IV. NWDAF Automatically Reports Material Abnormalities.

[0107] Figure 5 It is a flowchart for the NWDAF to report material abnormality alerts. In the figure, of course, when the NWDAF discovers that the corresponding time range has been exceeded, the terminal has not reported the material location information, or has not reached the corresponding location. Exemplarily, the terminal may not report at all, or may not report at the specified time, which may be due to terminal damage, being damaged by humans, or network disconnection resulting in the inability to report. In this case, a material location abnormality alert will be sent to the enterprise's AF. After receiving the corresponding alert information, the enterprise can based on the security of the materials and production risks.

[0108] V. Query the Current Location and Historical Path Information of the Material.

[0109] Figure 6 It is a flowchart for querying the material location and path. In the figure, the AF can query the current location of the material and the path information of reaching a certain node at a certain time in the past from the NWDAF through the NEF.

[0110] This application uses the NWDAF network element to track the location of the material; it will verify and compare the location information reported by the terminal with the location area of the base station to which the terminal is connected, generate alerts, and improve security; use encrypted transmission of the terminal's location information to improve security; when the terminal does not reach the fixed node location within the fixed time range, an alert will be generated; through the logistics path alert of the material, promptly discover material abnormalities and make production risk plans.

[0111] This application combines the 5G mobile network to track the material, and using the operator's 5G mobile network has low construction costs for enterprises; it will verify the authenticity of the information by comparing the terminal location with the wireless access area, improving security.

[0112] In some other embodiments, the 5G LMF network element can also be used to measure the terminal location and check whether it reaches the fixed location at the fixed node.

[0113] Secondly, refer to the appendix Figure 7Describe a supply chain logistics monitoring system according to an embodiment of the present invention.

[0114] Figure 7 It is a schematic structural diagram of a supply chain logistics monitoring system according to an embodiment of the present invention. The system specifically includes:

[0115] The first module 710 is used for:

[0116] Receiving the location information reported by the target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0117] Determining the monitoring information of the target terminal; the monitoring information includes the preset path information of the target material, and the preset path information includes node information and time range information;

[0118] If the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, sending a material deviation warning for the target material to the application function;

[0119] Obtaining the area information of the base station accessed by the target terminal;

[0120] If the location information is inconsistent with the area information, sending a material safety warning for the target material to the application function;

[0121] Or,

[0122] The second module 720 is used for:

[0123] If the location information of the target terminal is inconsistent with the node information in the monitoring information or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, receiving a material deviation warning sent by the network data analysis function; the location information is obtained through GPS or 5G positioning; the target terminal is associated with the target material;

[0124] If the location information is inconsistent with the area information of the base station accessed by the target terminal, receiving a material safety warning sent by the network data analysis function.

[0125] It can be seen that the content in the above method embodiments is applicable to the system embodiments of the present invention. The functions specifically implemented by the system embodiments of the present invention are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0126] Referring to Figure 8 , an embodiment of the present invention provides a supply chain logistics monitoring device, including:

[0127] At least one processor 810;

[0128] At least one memory 820 for storing at least one program;

[0129] When the at least one program is executed by the at least one processor 810, the at least one processor 810 is caused to implement the supply chain logistics monitoring method.

[0130] Similarly, the content in the above method embodiments is applicable to the present device embodiment. The functions specifically implemented by the present device embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those in the above method embodiments.

[0131] The embodiment of the present invention also provides a computer-readable storage medium, in which a processor-executable program is stored. The processor-executable program is used to execute the above supply chain logistics monitoring method when executed by a processor.

[0132] Similarly, the content in the above method embodiments is applicable to the present storage medium embodiment. The functions specifically implemented by the present storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those in the above method embodiments.

[0133] In some alternative embodiments, the functions / operations mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the functions / operations involved, two consecutive blocks shown may actually be executed substantially simultaneously or the blocks can sometimes be executed in the reverse order. In addition, the embodiments presented and described in the flowcharts of the present invention are provided by way of example for the purpose of providing a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated, in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0134] In addition, although the present invention has been described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features may be integrated in a single physical device and / or software module, or one or more functions and / or features may be implemented in separate physical devices or software modules. It should also be understood that a detailed discussion of the actual implementation of each module is not necessary for understanding the present invention. Rather, considering the attributes, functions, and internal relationships of the various functional modules in the devices disclosed herein, the actual implementation of the modules will be understood within the ordinary skills of an engineer. Thus, those skilled in the art can implement the present invention as set forth in the claims without undue experimentation. It should also be understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0135] If the above-described functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several programs for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0136] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable programs for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by a program execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can retrieve and execute programs from the program execution system, apparatus, or device), or in conjunction with these program execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with a program execution system, apparatus, or device.

[0137] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing it in a suitable manner if necessary, and then storing it in a computer memory.

[0138] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0139] In the above description of this specification, the descriptions referring to the terms "one embodiment / example", "another embodiment / example", or "certain embodiments / examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0140] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

[0141] The above has specifically described the preferred embodiments of the present invention, but the present invention is not limited to the described embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of the present invention, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present invention.

Claims

1. A supply chain logistics monitoring method, characterized in that: The following steps are involved: Receiving location information reported by a target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with a target material; Determine monitoring information of the target terminal; the monitoring information includes preset path information of the target material, and the preset path information includes node information and time range information; If the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, a material deviation alarm for the target material is issued to the application function; Acquire area information of a base station accessed by the target terminal; If the location information is inconsistent with the area information, a material safety alarm for the target material is issued to the application function.

2. The supply chain logistics monitoring method according to claim 1, characterized in that: The determining the monitoring information of the target terminal includes: Receiving a monitoring information set of all materials sent by the application function through the network development function, and storing the monitoring information set; the monitoring information set includes identification information; According to the identification information of the target material, the monitoring information corresponding to the target terminal is queried and determined.

3. The supply chain logistics monitoring method according to claim 1, characterized in that: The monitoring information includes encryption and decryption information, and the method further includes: The location information is decrypted according to the encryption and decryption information to obtain the decrypted location information.

4. The supply chain logistics monitoring method according to claim 1, characterized in that: The monitoring information includes alarm address information, and the method sends an alarm to the application function through the following steps: According to the alarm address information, a material deviation alarm is issued to the application function to prompt the risk of delayed arrival of the material; Alternatively, a material safety alarm is issued to the application function based on the alarm address information to prompt material safety risks.

5. The supply chain logistics monitoring method according to claim 1, characterized in that: The method further comprises: If the location information reported by the target terminal is not received within the preset time, an abnormal material location alarm is sent to the application function to prompt the target terminal of the risk of failure.

6. The supply chain logistics monitoring method according to claim 5, characterized in that: The method further comprises: Receiving a material query request for the application function; Based on the query request, determine the current location and historical path information of the target material; The current location and the historical path information are returned to the application function.

7. A supply chain logistics monitoring method, characterized in that: The following steps are involved: If the location information of the target terminal is inconsistent with the node information in the monitoring information or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, a material deviation alarm issued by the network data analysis function is received; the location information is obtained by GPS or 5G positioning; the target terminal is associated with the target material; If the location information is inconsistent with the area information of the target terminal accessing the base station, a material safety alarm issued by the network data analysis function is received.

8. A supply chain logistics monitoring system, characterized in that: include: The first module is used to: Receiving location information reported by a target terminal; the location information is obtained through GPS or 5G positioning; the target terminal is associated with a target material; Determine monitoring information of the target terminal; the monitoring information includes preset path information of the target material, and the preset path information includes node information and time range information; If the location information is inconsistent with the node information or the time corresponding to the location information is inconsistent with the time range information, a material deviation alarm for the target material is issued to the application function; Acquire area information of a base station accessed by the target terminal; If the location information is inconsistent with the area information, issuing a material safety alarm for the target material to the application function; or, The second module is used to: If the location information of the target terminal is inconsistent with the node information in the monitoring information or the time corresponding to the location information is inconsistent with the time range information in the monitoring information, a material deviation alarm issued by the network data analysis function is received; the location information is obtained by GPS or 5G positioning; the target terminal is associated with the target material; If the location information is inconsistent with the area information of the target terminal accessing the base station, a material safety alarm issued by the network data analysis function is received.

9. A supply chain logistics monitoring device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the supply chain logistics monitoring method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a program executable by a processor, characterized in that: The processor-executable program is used to implement the supply chain logistics monitoring method as described in any one of claims 1 to 7 when executed by the processor.

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