Intelligent logistics information management system

Abstract

The present application relates to the technical field of intelligent logistics, internet of things identification and data security, and discloses an intelligent logistics information management system, which comprises an embedded identification generation module, an identification reading module, a state information acquisition module, an encryption processing module, a trusted storage module and an event response module. The identification unit is embedded in the structure or packaging of the logistics material, and has a response characteristic that can be excited and read under the conditions of temperature, humidity, gas composition or electromagnetic radiation. The state information acquisition module acquires the position, environment and behavior information in the logistics process and binds them with the identity identification. The data is uploaded to the trusted storage module for chain recording after being encrypted. When an abnormal state or event is identified, the event response module generates response data and provides disposal instructions. The present application realizes identity tracking, state sensing and intelligent response of the whole life cycle of the logistics material.

Description

Technical Field

[0001] This invention relates to the fields of smart logistics, Internet of Things identification and data security technology, and in particular to a smart logistics information management system. Background Technology

[0002] In the transportation and distribution of hazardous chemicals, to achieve traceability management of material sources, flow paths, and responsible parties, the industry commonly uses labeling and coding methods to identify and record data on transport containers. These labeling methods mainly include barcodes, QR codes, and radio frequency identification (RFID) tags, which are typically attached to the outside of transport containers or used as packaging accessories for coding management. While these methods can meet general identification and query needs under normal operating conditions, they often face complex environmental challenges during actual transportation, especially in sudden accidents such as high temperatures, strong corrosion, high-pressure impacts, or violent collisions. External tags are easily detached, damaged, or carbonized, resulting in a lack of effective identification points for residual substances at the accident site. The physical fragility of this technology directly limits its application effectiveness in emergency identification scenarios and cannot meet the need for rapid identification of pollutant sources in extreme scenarios such as leaks and explosions.

[0003] On the other hand, current mainstream identification systems mostly rely on database mapping or association with auxiliary media to bind coded information to specific substances, lacking a mechanism for structurally and deeply integrating identification information with the substance itself. This indirect mapping identification method is easily replaced, counterfeited, or tampered with, posing a high risk of substitution and disguise, and making it difficult to establish a reliable identification chain. In the process of accident investigation and liability attribution, the lack of a reliable identification mechanism for the substance itself may lead to problems such as broken accountability chains and incomplete evidence chains, seriously affecting regulatory effectiveness and judicial applicability.

[0004] Therefore, there is an urgent need to establish a digital identification method that can stably identify pollutants under extreme working conditions and physically embed identification information into the material system, while also cooperating with a reliable data recording and transmission mechanism to achieve strong binding identification of pollutant sources and non-repudiable data traceability in hazardous chemical transportation accidents. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent logistics information management system, which has the advantages of digital identification means that can stably identify and physically embed identification information into the material system under extreme working conditions, and at the same time, with a reliable data recording and transmission mechanism, to achieve strong binding identification of pollutant sources and non-repudiable data traceability in hazardous chemical transportation accidents.

[0006] The above-mentioned technical objective of the present invention is achieved through the following technical solution:

[0007] A smart logistics information management system, comprising:

[0008] An embedded identifier generation module is used to generate an identifier unit containing unique identification information for a target logistics material. The identifier unit is embedded in the target logistics material's body structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes.

[0009] The identification reading module, corresponding to the embedded identification generation module, is used to identify the target logistics material under transportation or operation triggering conditions, extract the identity information in the identification unit, and generate a unique digital identity identifier.

[0010] A status information acquisition module, connected to the identifier reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading. The status information includes at least one type of location data, environmental data or operational behavior information, and is bound to the digital identity identifier.

[0011] An encryption processing module, connected to the status information acquisition module, is used to encrypt the bound identity information and status information before uploading.

[0012] The trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in an immutable chain and to support subsequent material identification, status tracking and responsibility attribution verification based on the digital identity.

[0013] The event response module, which is connected in communication with the trusted evidence storage module, is used to automatically generate event-level response data when identifying abnormal states, out-of-limit events, or environmental deviation conditions, and to provide triggering basis for supervision, early warning, or handling instructions.

[0014] Further settings:

[0015] The identification unit is configured with a response mechanism under changing environmental parameters, the response mechanism including at least one of photoluminescence response, thermochromic response, gas-sensitive color change response or electromagnetic wave excitation response.

[0016] Further settings:

[0017] The identification unit is constructed using an embedded microstructure coding method. The coding structure is set between the main body structure of the target logistics material or the intermediate layer of the packaging, and forms unique identification information through microscale pattern arrangement.

[0018] Further settings:

[0019] The identification unit adopts a multi-layer spectral response coding structure, which includes multiple response layers that are sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The coded information can only be identified under specific wavelength excitation or stimulation conditions, and the responses of each layer constitute a multi-dimensional combination.

[0020] Further settings:

[0021] The identification unit is bound to the target logistics material through a dual binding mechanism of physical embedding and data association;

[0022] The physical embedding includes setting responsive identification materials in an irreversible position on the material's structure or the middle layer of packaging; the data association includes mapping the unique coded information carried by the identification unit to the physical characteristic parameters of the target logistics material to construct a digital identity binding relationship.

[0023] When reading the identification unit information, the physical parameters and the encoded data are compared simultaneously to confirm the unique correspondence between the identification and the substance.

[0024] Further settings:

[0025] The identification unit is equipped with a identifiability control mechanism to activate the identification function when a preset trigger condition is met.

[0026] The triggering conditions include at least one environmental parameter threshold condition, timing operation status, or authorized device signal; the control means include a responsive material switch structure or a physical shielding structure, and can be combined with a digital verification mechanism to achieve controlled reading; when the number of identifications exceeds the preset limit or abnormal reading behavior is detected, the identification unit can automatically switch to a shielded or self-destruct state.

[0027] Further settings:

[0028] The status information acquisition module includes multiple types of sensor units, which are used to simultaneously acquire environmental parameter information, physical attitude change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record the various types of acquired data in time sequence based on a timestamp mechanism.

[0029] The status information acquisition module is also equipped with an event parsing unit, which is used to convert the acquired data into event tags according to preset rules, and bind them one by one with the digital identity tags generated by the identifier reading module to build a status data tracking chain covering the entire process.

[0030] Further settings:

[0031] The event analysis unit includes a state recognition module. The state recognition module uses a machine learning model built based on training data to process the state data with timestamps collected from the multi-type sensor units, so as to classify the state data into preset event type categories. The event type categories include at least one of the following: drop impact, abnormal vibration, tilting and offset, remaining still for more than a set time, and temperature and humidity exceeding a set range.

[0032] Further settings:

[0033] The event response module includes an event determination unit and a response data generation unit. The event determination unit is used to classify event types according to preset event judgment rules based on abnormal state data obtained from the trusted evidence storage module. The event types include environmental parameter exceeding limits, abnormal transportation posture, unauthorized operation behavior, etc.

[0034] The response data generation unit is used to generate structured event response data packets based on event types. The data packets include at least an event type identifier, an event occurrence time, a digital identity identifier of the logistics material to which the event occurred, and corresponding status summary information, and are sent to a preset response system or monitoring node through a communication interface.

[0035] Further settings:

[0036] The event response module further includes a response level control unit, which is used to determine the corresponding response level identifier based on the event type output by the event determination unit and according to a preset response level mapping table. The response level includes at least one of silent recording level, early warning notification level, and mandatory intervention level. The response data generation unit adds a corresponding level identifier field to the event response data packet according to the response level, and controls the data packet sending target, response time window, or linkage system interface accordingly.

[0037] In summary, the present invention has the following beneficial effects:

[0038] 1. By embedding an identification unit with environmental responsive characteristics into the structure of the logistics material itself or its packaging carrier, and combining it with an identification reading module to obtain identity information and digital code, this invention can achieve unique identification and irreplaceable recognition of each logistics unit, effectively preventing problems such as material identity drift and tampering in traditional logistics systems.

[0039] 2. The status information acquisition module acquires the status information of logistics materials throughout the entire process of transportation, storage, loading and unloading, including environmental data, location changes, and operational behaviors, and binds them with identity information to build a status data chain covering the time axis, providing a foundation for subsequent status visualization and tracking.

[0040] 3. This system uses an encryption processing module to encrypt and upload the collected data, ensuring the integrity and privacy of logistics status information during transmission. At the same time, the trusted evidence storage module uses a chain structure to record the encrypted data in an unalterable manner, effectively preventing data forgery, deletion, or loss during retrospection, and enhancing the legal credential validity of the system.

[0041] 4. When the system detects situations such as environmental parameters exceeding limits, abnormal physical conditions, or illegal operations, the event response module can automatically generate structured response data according to preset rules and push early warning, handling, or monitoring instructions in real time through the communication interface, thereby realizing timely detection and closed-loop handling of key anomalies and significantly improving the logistics system's ability to perceive risks and its response efficiency.

[0042] 5. Through the structured integration of identity, status, and event data and an immutable evidence storage mechanism, this invention supports the realization of multi-dimensional information fusion modeling and responsibility entity traceability analysis of logistics materials, and can provide a real and effective digital evidence chain for accident investigation and compliance verification. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the system architecture of an embodiment. Detailed Implementation

[0044] The present invention will be further described in detail below with reference to the accompanying drawings.

[0045] Example:

[0046] A smart logistics information management system, at its core, embeds a unique, responsive identifier structure into the material itself, and combines this with status acquisition, event judgment, encryption processing, and a trusted evidence storage and response mechanism to achieve full-process digital closed-loop control.

[0047] like Figure 1 As shown, the system includes the following modules:

[0048] An embedded identifier generation module is used to generate an identifier unit containing unique identification information for a target logistics material. The identifier unit is embedded in the target logistics material's body structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes.

[0049] The identification unit is equipped with a response mechanism under changing environmental parameters. In this embodiment, the response mechanism is a photoluminescence response.

[0050] The identification unit is constructed using an embedded microstructure coding method. The coding structure is set between the main body structure of the target logistics material or the intermediate layer of the packaging, and forms unique identification information through microscale pattern arrangement.

[0051] The identification unit adopts a multi-layer spectral response coding structure, which includes multiple response layers that are sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The coded information can only be identified under specific wavelength excitation or stimulation conditions, and the responses of each layer constitute a multi-dimensional combination.

[0052] The identification unit is bound to the target logistics material through a dual binding mechanism of physical embedding and data association;

[0053] The physical embedding includes setting responsive identification materials in an irreversible position on the material's structure or the middle layer of packaging; the data association includes mapping the unique coded information carried by the identification unit to the physical characteristic parameters of the target logistics material to construct a digital identity binding relationship.

[0054] When reading the identification unit information, the physical parameters and the encoded data are compared simultaneously to confirm the unique correspondence between the identification and the substance.

[0055] The identification unit is equipped with a identifiability control mechanism to activate the identification function when a preset trigger condition is met.

[0056] The triggering conditions include at least one environmental parameter threshold condition, timing operation status, or authorized device signal; the control means include a responsive material switch structure or a physical shielding structure, and can be combined with a digital verification mechanism to achieve controlled reading; when the number of identifications exceeds the preset limit or abnormal reading behavior is detected, the identification unit can automatically switch to a shielded or self-destruct state.

[0057] Specifically, the identification unit is a multilayer composite thin film structure with spectral response capability, comprising, from top to bottom:

[0058] The first layer: the short-wave ultraviolet response layer (Layer_UV) is made of europium-doped phosphor (Eu³⁺-based), with a response excitation wavelength range of 300~360nm, and is used to carry the "batch number";

[0059] The second layer: the visible blue light responsive layer (Layer_Blue) is made of ZnS:Cu-based fluorescent particles with an excitation wavelength of 440~480nm, and is used to carry the "production date".

[0060] The third layer, the near-infrared response layer (Layer_NIR), uses lead telluride (PbTe) nanoparticles with an excitation wavelength of 780~850nm and is used to carry "product category information".

[0061] The three-layer structure employs a micro-nano pattern etching method to write information patterns into each layer, and is isolated by a transparent buffer layer to avoid crosstalk. Finally, they are laminated to form a composite structure with a thickness of approximately 100 μm, which is embedded in the middle layer of the material packaging.

[0062] During the reading operation, a multi-channel laser scanner with a variable excitation wavelength is used to perform multiple layer-by-layer scans. The specific operation steps are as follows:

[0063] The first excitation wavelength was set to 350nm to excite Layer_UV, and its emission pattern was captured. ;

[0064] The second excitation wavelength was set to 460nm to excite Layer_Blue, and the emission pattern was collected. ;

[0065] The third excitation wavelength was set to 820 nm to excite Layer NIR, and the emission pattern was collected. ;

[0066] The three sets of patterns are merged into a unified coding structure using an image fusion algorithm:

[0067] ;

[0068] Where the function This is an image encoding and splicing or multi-channel fusion algorithm used to merge images into a unique identity code.

[0069] The luminescence intensity of each response layer satisfies the following function:

[0070]

[0071] in: To enhance light intensity, For quantum efficiency, The absorption coefficient is... For material thickness;

[0072] The responsiveness of the response layer to the spectral range can be achieved through material doping or particle size control.

[0073] Each layer in the three-layer structure is independently encoded, and can be read individually for primary identification or combined for multi-dimensional joint verification.

[0074] The multilayer spectral response structure possesses physical anti-counterfeiting features, making it difficult to replicate by scanning.

[0075] The responsive layer structure can be made of refractory and non-degradable materials to adapt to extreme working conditions such as high temperature and strong corrosion environments.

[0076] The multi-layer spectral response marking structure is encapsulated between the packaging material (such as polyimide film) and the cargo liner through a thermo-pressing bonding method. Its fixing method is a non-removable embedded combination, which effectively prevents tampering or replacement.

[0077] The identification reading module, corresponding to the embedded identification generation module, is used to identify the target logistics material under transportation or operation triggering conditions, extract the identity information in the identification unit, and generate a unique digital identity identifier.

[0078] The identification reading module includes an excitation unit and an image receiving unit. Under operational triggering conditions, the target area is excited by a portable ultraviolet laser (365nm). After the thin film responds with light emission, the encoded pattern is captured by a high-sensitivity CMOS image sensor. Subsequently, an image processing algorithm is used to identify the content of the identification unit and generate a unique digital identity ID.

[0079] A status information acquisition module, connected to the identifier reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading. The status information includes at least one type of location data, environmental data or operational behavior information, and is bound to the digital identity identifier.

[0080] The status information acquisition module includes multiple types of sensor units, which are used to simultaneously acquire environmental parameter information, physical attitude change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record the various types of acquired data in time sequence based on a timestamp mechanism.

[0081] The status information acquisition module is also equipped with an event parsing unit, which is used to convert the acquired data into event tags according to preset rules, and bind them one by one with the digital identity tags generated by the identifier reading module to build a status data tracking chain covering the entire process.

[0082] The event analysis unit includes a state recognition module. The state recognition module uses a machine learning model built based on training data to process the state data with timestamps collected from the multi-type sensor units, so as to classify the state data into preset event type categories. The event type categories include at least one of the following: drop impact, abnormal vibration, tilting and offset, remaining still for more than a set time, and temperature and humidity exceeding a set range.

[0083] Specifically, to achieve comprehensive monitoring of logistics materials at different stages (transportation, storage, loading and unloading), the system deploys the following types of sensor units:

[0084] Temperature and humidity sensor (DHT22): Collects temperature ,humidity ;

[0085] Triaxial accelerometer (ADXL345): Acquires triaxial acceleration ,

[0086] Gyroscope (MPU6050): measures tilt angle ;

[0087] Optional barometer (BMP280): barometric pressure It is used to assist in handling and detection.

[0088] The complete state vector at each time point t is:

[0089]

[0090] The system constructs a time-series dataset using periodic sampling:

[0091]

[0092] Each set of data is linked to a digital identity. This constitutes a complete state recording unit:

[0093]

[0094] The system performs preliminary event identification based on preset thresholds, and the judgment rules are as follows:

[0095]

[0096] in:

[0097] Earth's standard gravitational acceleration;

[0098] : The set impact tolerance deviation;

[0099] : Tilt threshold;

[0100] , The upper limits for temperature and humidity depend on the type of goods being transported.

[0101] To enhance the accuracy of judgments, the system introduces a supervised learning model, with the input being a sequence of state time windows:

[0102]

[0103] The model output is an event type label E∈C, where the event set is:

[0104]

[0105] The event recognition model function is represented as follows:

[0106]

[0107] in The trained Support Vector Machine (SVM) or Random Forest model is θ, where θ represents the model parameters.

[0108] Each identified event is recorded in a structured format and bound to a material identification code, forming an event record unit:

[0109]

[0110] This data structure serves as the core node of the state data tracking chain, providing the original input basis for subsequent encryption, evidence storage, and response modules.

[0111] An encryption processing module, connected to the status information acquisition module, is used to encrypt the bound identity information and status information before uploading.

[0112] The trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in an immutable chain and to support subsequent material identification, status tracking and responsibility attribution verification based on the digital identity.

[0113] The event response module, which is connected in communication with the trusted evidence storage module, is used to automatically generate event-level response data when identifying abnormal states, out-of-limit events, or environmental deviation conditions, and to provide triggering basis for supervision, early warning, or handling instructions.

[0114] The event response module includes an event determination unit and a response data generation unit. The event determination unit is used to classify event types according to preset event judgment rules based on abnormal state data obtained from the trusted evidence storage module. The event types include environmental parameter exceeding limits, abnormal transportation posture, unauthorized operation behavior, etc.

[0115] The response data generation unit is used to generate structured event response data packets based on event types. The data packets include at least an event type identifier, an event occurrence time, a digital identity identifier of the logistics material to which the event occurred, and corresponding status summary information, and are sent to a preset response system or monitoring node through a communication interface.

[0116] The event response module further includes a response level control unit, which is used to determine the corresponding response level identifier based on the event type output by the event determination unit and according to a preset response level mapping table. The response level includes at least one of silent recording level, early warning notification level, and mandatory intervention level. The response data generation unit adds a corresponding level identifier field to the event response data packet according to the response level, and controls the data packet sending target, response time window, or linkage system interface accordingly.

[0117] Specifically, the event determination unit maintains a communication connection with the trusted evidence storage module, periodically extracts recent abnormal data from the blockchain records, and analyzes the data content in accordance with preset judgment rules to determine whether it belongs to one of the following event types:

[0118] Environmental parameters exceeding limits: such as temperature and humidity exceeding the set safe range;

[0119] Abnormal transport posture: such as the item tilting violently, shaking, or falling;

[0120] Unauthorized operation: such as unauthorized opening of boxes, handling, transfer, etc.

[0121] After the determination is completed, the identified event type encoding result is passed as input to the response data generation unit.

[0122] After receiving the event type information, the response data generation unit constructs a standardized structured event data packet. This data packet contains at least the following fields:

[0123] Event type identifiers: such as "temperature exceeding limit", "drop impact", "unauthorized opening of the box", etc.;

[0124] Event occurrence time: determined by the timestamp recorded in the evidence storage module;

[0125] Digital identification of the logistics material: the logistics unit number associated with this event;

[0126] Status summary information: Includes brief data such as temperature values, tilt angle values, or behavior labels related to the event.

[0127] The generated data packets are temporarily stored in the sending queue, awaiting scheduling by the response level control unit.

[0128] The response level control unit queries the system's built-in "response level mapping table" based on the event type to determine the corresponding response level. This mapping table supports the following level configurations:

[0129] Silent logging level: Records events but does not push them, only used for log auditing (such as slight vibrations);

[0130] Warning notification level: Pushed to the monitoring backend or supervisor (e.g., ambient temperature exceeds the limit);

[0131] Forced intervention level: Sends forced commands to the linkage system (such as turning on the cooling system, triggering the alarm, etc.).

[0132] Based on the matched level, the unit performs the following operations on the response packet:

[0133] Add a "Response Level Identifier" field to the data packet;

[0134] Control the target of response data push (such as regulatory platforms, cloud-based central control, enterprise ERP interfaces);

[0135] Set the data packet sending priority and effective time window (such as "Send immediately", "Valid for 10 minutes", etc.).

[0136] Ultimately, the event response data is sent through the communication interface, and the sending log is retained in the background.

[0137] The specific implementation method of this system is as follows:

[0138] Unique identity embedding and generation:

[0139] The system uses an embedded identification generation module to embed responsive identification units into the structure of the target logistics material or its packaging. These identification units respond to changes in specific environmental parameters, triggering readable signals that achieve both physical carrying and secure integration of identification information. This ensures the identification is irremovable and irreplaceable, laying the foundation for the system's unique identification capabilities.

[0140] Identity recognition and activation-based reading:

[0141] Under transportation or operational trigger conditions, the identification reading module activates and identifies the embedded identification unit through specific methods (such as light, electricity, radio frequency, etc.), parses the identity information carried within, and generates a unique digital identity. This identification serves as the sole anchor point for subsequent end-to-end status recording and tracking.

[0142] State awareness and digital identity binding:

[0143] The status information acquisition module, in conjunction with the identification reading module, collects real-time status data of logistics materials in key stages such as transportation, storage, and loading and unloading. It covers multi-dimensional indicators such as location, environment, and operational behavior, and binds them one by one with the corresponding digital identity to form a structured and traceable status data record.

[0144] Data encryption and secure upload:

[0145] The collected identity and status data are securely encrypted by the encryption module to ensure confidentiality and integrity during transmission and subsequent evidence storage. The encrypted data is then uploaded to the backend processing system or evidence storage module, laying the data foundation for the system's trustworthiness.

[0146] Immutable chain-based evidence storage:

[0147] The trusted evidence storage module records each piece of encrypted data in a chain structure, ensuring that the data is immutable and tamper-proof throughout the entire process. This module enables digital identity-based identification of logistics materials, status tracking, and responsibility attribution verification, strengthening the system's compliance and auditing capabilities.

[0148] Intelligent response to abnormal events: The system dynamically monitors the status data recorded in the trusted evidence storage module through the event response module. When an abnormal state, out-of-limit event, or environmental deviation condition is identified, a structured event response data packet containing event tags, timestamps, status summaries, etc. is automatically generated. According to preset rules, the system provides early warnings, instructions, or recording evidence to the regulatory system, enterprise platform, or disposal unit, thus building an event-level intelligent feedback chain.

[0149] In summary, this system comprises an integrated intelligent logistics monitoring and tracking architecture consisting of six modules: "identity embedding," "identity recognition," "status acquisition," "encrypted upload," "trusted evidence storage," and "event response." Through material-level identity binding, multi-dimensional status fusion, event-level linkage, and trusted traceability capabilities, this solution effectively enhances logistics security, controllability, and accountability transparency. It is suitable for demanding logistics scenarios such as hazardous materials transportation, cold chain supervision, military supplies tracking, and high-value consumables distribution, demonstrating strong technological advancement and industry adaptability.

[0150] The embodiments described above do not constitute a limitation on the scope of protection of this technical solution. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the above embodiments should be included within the scope of protection of this technical solution.

Claims

1. A smart logistics information management system, characterized in that, include: An embedded identification generation module is used to generate an identification unit containing unique identification information for a target logistics material. The unique identification information is carried in the identification unit in the form of unique coded information. The identification unit is embedded in the target logistics material's body structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes. The identification reading module, corresponding to the embedded identification generation module, is used to identify the target logistics material under transportation or operation triggering conditions, extract the identity information in the identification unit, and generate a unique digital identity identifier. A status information acquisition module, connected to the identifier reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading. The status information includes at least one type of location data, environmental data or operational behavior information, and is bound to the digital identity identifier. An encryption processing module, connected to the status information acquisition module, is used to encrypt the bound identity information and status information, generate encrypted data, and then upload it. The trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in an immutable chain and to support subsequent material identification, status tracking and responsibility attribution verification based on the digital identity. The event response module, which is connected in communication with the trusted evidence storage module, is used to automatically generate event-level response data when identifying abnormal states, out-of-limit events, or environmental deviation conditions, and to provide triggering basis for supervision, early warning, or handling instructions.

2. The intelligent logistics information management system according to claim 1, characterized in that, The identification unit is configured with a response mechanism under changing environmental parameters, the response mechanism including at least one of photoluminescence response, thermochromic response, gas-sensitive color change response or electromagnetic wave excitation response.

3. The intelligent logistics information management system according to claim 1, characterized in that, The identification unit is a coding structure constructed using an embedded microstructure coding method. The coding structure is set in the body structure or packaging carrier of the target logistics material and forms unique identification information through microscale pattern arrangement.

4. The intelligent logistics information management system according to claim 1, characterized in that, The identification unit adopts a multi-layer spectral response coding structure, which includes multiple response layers that are sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The coded information can only be identified under specific wavelength excitation or stimulation conditions, and the responses of each layer constitute a multi-dimensional combination.

5. The intelligent logistics information management system according to claim 1, characterized in that, The identification unit is bound to the target logistics material through a dual binding mechanism of physical embedding and data association; The physical embedding includes setting responsive identification materials in irreversible positions on the material's structure or packaging carrier; the data association includes mapping the unique coded information carried by the identification unit to the physical characteristic parameters of the target logistics material to construct a digital identity binding relationship. When reading the identification unit information, the physical characteristic parameters and the encoding information are compared simultaneously to confirm the unique correspondence between the identification and the substance.

6. The intelligent logistics information management system according to claim 1, characterized in that, The identification unit is equipped with a identifiability control mechanism to activate the identification function when a preset trigger condition is met. The triggering conditions include at least one environmental parameter threshold condition, timing operation status, or authorized device signal; the control means include a responsive material switch structure or a physical shielding structure, and can be combined with a digital verification mechanism to achieve controlled reading; when the number of identifications exceeds the preset limit or abnormal reading behavior is detected, the identification unit can automatically switch to a shielded or self-destruct state.

7. The intelligent logistics information management system according to claim 1, characterized in that, The status information acquisition module includes multiple types of sensor units, which are used to simultaneously acquire environmental parameter information, physical attitude change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record the various types of acquired data in time sequence based on a timestamp mechanism. The status information acquisition module is also equipped with an event parsing unit, which is used to convert the acquired data into event tags according to preset rules, and bind them one by one with the digital identity tags generated by the identifier reading module to build a status information tracking chain covering the entire process.

8. The intelligent logistics information management system according to claim 7, characterized in that, The event analysis unit includes a state recognition module. The state recognition module uses a machine learning model built based on training data to process the state information with timestamps collected from the multi-type sensor units, so as to classify the state information into preset event type categories. The event type categories include at least one of the following: drop impact, abnormal vibration, tilting and offset, remaining still for more than a set time, and temperature and humidity exceeding a set range.

9. The intelligent logistics information management system according to claim 1, characterized in that, The event response module includes an event determination unit and a response data generation unit. The event determination unit is used to classify event types according to preset event judgment rules based on the abnormal state information obtained from the trusted evidence storage module. The event types include environmental parameter exceeding limits, abnormal transportation posture, and unauthorized operation behavior. The response data generation unit is used to generate structured event response data packets based on event types. The data packets include at least an event type identifier, an event occurrence time, a digital identity identifier of the logistics material to which the event occurred, and corresponding status summary information, and are sent to a preset response system or monitoring node through a communication interface.

10. A smart logistics information management system according to claim 9, characterized in that, The event response module further includes a response level control unit, which is used to determine the corresponding response level identifier based on the event type output by the event determination unit and according to a preset response level mapping table. The response level includes at least one of silent recording level, early warning notification level, and mandatory intervention level. The response data generation unit adds a corresponding level identifier field to the event response data packet according to the response level, and controls the data packet sending target, response time window, or linkage system interface accordingly.

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