Intelligent logistics information management system

Abstract

The invention 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 identifier generation module, an identifier reading module, a state information acquisition module, an encryption processing module, a credible evidence storage module and an event response module. The identification unit is embedded in a logistics substance body structure or a package and has the response characteristic of being capable of being excited and read under the environment change conditions of temperature, humidity, gas components or electromagnetic radiation and the like. The state information acquisition module acquires position, environment and behavior information in the logistics process and binds the information with the identity label; after being encrypted, the data are uploaded to the credible evidence storage module for chained recording; when an abnormal state or an event is identified, the event response module generates response data and provides a basis for processing an instruction. According to the invention, identity tracking, state perception and intelligent response of the logistics material in the whole life cycle are realized.

Description

Technical Field

[0001] The present invention relates to the field of smart logistics, Internet of Things identification and data security technology, and in particular to a smart logistics information management system. Background Art

[0002] During the transportation and circulation of hazardous chemicals, in order to achieve traceability management of the source of materials, circulation routes and responsible parties, the industry generally adopts labeling and coding methods to realize the identification and data recording of transport containers. Such identification methods mainly include barcodes, QR codes, radio frequency identification (RFID) tags, etc., and their deployment method is usually to attach them to the outside of the transport container or use them as packaging accessories for coding management. This method can meet general identification and query needs under normal working conditions, but often faces complex environmental challenges during actual transportation. In particular, in the event of sudden accidents such as high temperature, strong corrosion, high pressure shock or violent impact, the external label is very easy to fall off, be damaged or carbonize and fail, resulting in a lack of effective identification entry for residual materials at the accident site. The physical fragility of this type of technology directly limits its application effect in emergency identification scenarios, and cannot meet the needs of rapid confirmation of the source of pollutants in extreme scenarios such as leakage, combustion and explosion.

[0003] On the other hand, current mainstream identification systems rely heavily on database mapping or attached media associations to bind coded information to specific substances, lacking a mechanism for deep, structural integration of identification information with the substance itself. This indirect mapping identification method is susceptible to substitution, counterfeiting, or tampering, presenting a high risk of substitution and disguise, and making it difficult to establish a reliable identification chain. During accident investigations and attribution, the lack of a reliable identification mechanism for the substance itself can lead to problems such as a broken accountability chain and an incomplete chain of evidence, severely impacting regulatory effectiveness and judicial applicability.

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

[0005] The purpose of the present invention is to provide an intelligent logistics information management system, which has a digital identification method that can stably identify under extreme working conditions and physically embed identification information into the material system. At the same time, it cooperates with a reliable data recording and transmission mechanism to achieve the advantages of strong binding identification and non-repudiation traceability of the source of pollutants in dangerous chemical transportation accidents.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions: A smart logistics information management system, comprising: An embedded identification generation module is used to generate an identification unit containing unique identity information for the target logistics material. The identification unit is embedded in the target logistics material's main structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes; An identification reading module, arranged corresponding to the embedded identification generating module, is used to identify the target logistics material under transportation or operation trigger conditions, extract the identity information in the identification unit, and generate a unique digital identity; A status information collection module, connected to the identification reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading, wherein the status information includes at least one item of location data, environmental data or operation behavior information, and is bound to the digital identity identification; An encryption processing module, connected to the status information collection module, for encrypting the bound identity information and status information before uploading; A trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in a tamper-proof chain format and support subsequent material identification, status tracking, and responsibility verification based on the digital identity; The event response module is in communication with the trusted evidence storage module and is used to automatically generate event-level response data when abnormal conditions, out-of-limit events or environmental deviation conditions are identified, and to provide a trigger basis for supervision, early warning or disposal instructions.

[0007] Further settings: The identification unit is configured with a response mechanism under the condition of changes in environmental parameters, and the response mechanism includes at least one of photoluminescence response, thermochromic response, gas-sensitive color response or electromagnetic wave excitation response.

[0008] Further settings: The identification unit is constructed using an embedded microstructure coding method. The coding structure is set between the main structure of the target logistics material or the packaging middle layer, and forms unique identification information through microscale pattern arrangement.

[0009] Further settings: The identification unit adopts a multi-layer spectral response coding structure, which includes multiple response layers sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The encoded information can only be recognized under specific wavelength excitation or stimulation conditions, and the responses of each layer constitute a multi-dimensional combination.

[0010] Further settings: 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 placing the responsive identification material in an irreversible position in the material structure or the packaging middle layer; the data association includes mapping the unique coding information carried by the identification unit with the physical characteristic parameters of the target logistics material one by one to establish a digital identity binding relationship; When reading the identification unit information, the physical parameters and coding data are synchronously compared to confirm the uniqueness of the corresponding identification and substance.

[0011] Further settings: The identification unit is provided with an identifiability control means for activating the identification function when a preset trigger condition is met. The trigger conditions include at least one environmental parameter threshold condition, a timing operation state or an 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 it is detected that the number of identifications exceeds a preset upper limit or abnormal reading behavior is detected, the identification unit can automatically enter a shielding or self-destruction state.

[0012] Further settings: The state information acquisition module includes multiple types of sensor units, which are used to simultaneously collect environmental parameter information, physical posture change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record various types of collected data in a time series based on a timestamp mechanism; The status information collection module is also provided with an event parsing unit for converting the collected data into event tags according to preset rules, and building a status data tracking chain covering the entire process by binding it one-to-one with the digital identity generated by the identification reading module.

[0013] Further settings: The event analysis unit includes a state recognition module, which uses a machine learning model constructed based on training data to process the state data with timestamps collected from the multi-type sensor units to divide the state data into preset event type categories; the event type categories include at least one of drop impact, vibration abnormality, tilt offset, static state exceeding a set time, and temperature and humidity exceeding a set range.

[0014] Further settings: 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 status data obtained from the trusted evidence storage module. The event types include environmental parameter exceeding the limit, abnormal transportation posture, unauthorized operation behavior, etc. The response data generation unit is used to generate a structured event response data packet based on the event type. The data packet includes at least the event type identifier, the event occurrence time, the digital identity identifier of the logistics material to which it belongs, and the corresponding status summary information, and is sent to the preset response system or supervision node through the communication interface.

[0015] Further settings: 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 according to a preset response level mapping table, and the response level includes at least one of a silent recording level, an early warning notification level and a forced intervention level; the response data generation unit adds a corresponding level identification 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.

[0016] In summary, the present invention has the following beneficial effects: 1. By embedding an identification unit with environmental response characteristics into the logistics material structure or packaging carrier, and combining it with an identification reading module to obtain identity information and digital code, the present invention can achieve unique identification and irreplaceable recognition of each logistics unit, effectively preventing problems such as material identity drift and package substitution in traditional logistics systems; 2. The status information collection module obtains the status information of logistics materials during the entire process of transportation, storage, loading and unloading, including environmental data, location changes, operating behaviors, etc., and binds it with identity information to build a status data chain covering the timeline, providing a basis for subsequent status visualization and tracking.

[0017] 3. This system encrypts and uploads the collected data through the encryption processing module to ensure the integrity and privacy of logistics status information during transmission; at the same time, the trusted evidence module uses a chain structure to record the encrypted data in an unalterable manner, effectively preventing data forgery, deletion or retroactive loss, and enhancing the legal evidence effectiveness of the system.

[0018] 4. When the system identifies situations such as environmental parameters exceeding limits, abnormal physical conditions, or illegal operating behaviors, the event response module can automatically generate structured response data according to preset rules, and push early warning, disposal or supervision instructions in real time through the communication interface, thereby achieving timely discovery and closed-loop disposal of key anomalies, significantly improving the logistics system's risk perception and response efficiency.

[0019] 5. Through the structured integration of identity, status, and event data and an unalterable evidence storage mechanism, the present invention supports the multi-dimensional information fusion modeling and responsible party traceability analysis of logistics materials, and can provide a real and effective digital evidence chain for accident investigation and compliance verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 Schematic diagram of the system architecture of the embodiment. DETAILED DESCRIPTION

[0021] The present invention will be further described in detail below with reference to the accompanying drawings.

[0022] Example: A smart logistics information management system, the core of which is to embed a unique responsive identification structure into the physical body, and combine state collection, event judgment, encryption processing, and trusted evidence and response mechanisms to achieve digital closed-loop control of the entire process. like Figure 1 As shown, the system includes the following modules: An embedded identification generation module is used to generate an identification unit containing unique identity information for the target logistics material. The identification unit is embedded in the target logistics material's main structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes; The identification unit is configured with a response mechanism under the condition of environmental parameter changes. In this embodiment, the response mechanism is a photoluminescence response. The identification unit is constructed using an embedded microstructure coding method. The coding structure is set between the main structure of the target logistics material or the packaging middle layer, and forms unique identification information through microscale pattern arrangement.

[0023] The identification unit adopts a multi-layer spectral response coding structure, which includes multiple response layers sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The encoded information can only be recognized under specific wavelength excitation or stimulation conditions, and the responses of each layer constitute a multi-dimensional combination.

[0024] 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 placing the responsive identification material in an irreversible position in the material structure or the packaging middle layer; the data association includes mapping the unique coding information carried by the identification unit with the physical characteristic parameters of the target logistics material one by one to establish a digital identity binding relationship; When reading the identification unit information, the physical parameters and coding data are synchronously compared to confirm the uniqueness of the corresponding identification and substance.

[0025] The identification unit is provided with an identifiability control means for activating the identification function when a preset trigger condition is met. The trigger conditions include at least one environmental parameter threshold condition, a timing operation state or an 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 it is detected that the number of identifications exceeds a preset upper limit or abnormal reading behavior is detected, the identification unit can automatically enter a shielding or self-destruction state.

[0026] Specifically, the identification unit is a multi-layer composite thin film structure with spectral response capability, comprising from top to bottom: 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, which is used to carry the "batch number"; The second layer: The visible blue light response layer (Layer_Blue) is made of ZnS:Cu-based fluorescent particles with an excitation wavelength of 440-480nm, which is used to carry the "production date"; The third layer: The near-infrared response layer (Layer_NIR) material uses lead telluride (PbTe) nanoparticles with an excitation wavelength of 780~850nm, which is used to carry "product category information".

[0027] The three-layer structure uses a micro-nano pattern etching method to write information patterns on each layer, and a transparent buffer layer is used to isolate and prevent crosstalk. Finally, the composite structure with a thickness of approximately 100μm is laminated and embedded in the middle layer of the material packaging.

[0028] During the reading operation, a multi-channel laser scanner with variable excitation wavelength is used to perform multiple layer-by-layer scans. The specific steps are as follows: Set the first excitation wavelength to 350nm, excite Layer_UV, and collect its luminescence pattern ; Set the second excitation wavelength to 460nm, excite Layer_Blue, and collect the luminescence pattern ; Set the third excitation wavelength to 820nm, excite Layer_NIR, and collect the luminescence pattern ; The three groups of patterns are merged into a unified coding structure through image fusion algorithm: ; The function It is an image code splicing or multi-channel fusion algorithm used to merge into a unique identity code.

[0029] The luminescence intensity of each response layer satisfies the following function:

[0030] in: For the excitation light intensity, is the quantum efficiency, is the absorption coefficient, is the material thickness; The response selectivity of the response layer to the spectral range can be achieved by material doping or particle size regulation.

[0031] Each layer in the three-layer structure is independently encoded and can be read individually for primary identification or in combination for multi-dimensional joint verification; The multi-layer spectrally responsive structure has physical anti-counterfeiting features and is difficult to copy by scanning; The response layer structure can be made of refractory and hard-to-degrade materials to adapt to extreme working conditions such as high temperature and highly corrosive environments; The multi-layer spectrally responsive identification structure is encapsulated between the packaging material (such as polyimide film) and the cargo lining by hot pressing and laminating. It is fixed in a non-detachable embedded combination to effectively prevent tampering or replacement.

[0032] An identification reading module, arranged corresponding to the embedded identification generating module, is used to identify the target logistics material under transportation or operation trigger conditions, extract the identity information in the identification unit, and generate a unique digital identity; The identification reader module consists of an excitation unit and an image receiving unit. When triggered, a portable UV laser (365nm) excites the target area. The film responds with luminescence, and the coded pattern is captured by a highly sensitive CMOS image sensor. An image processing algorithm is then used to identify the identification unit content and generate a unique digital ID.

[0033] A status information collection module, connected to the identification reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading, wherein the status information includes at least one item of location data, environmental data or operation behavior information, and is bound to the digital identity identification; The state information acquisition module includes multiple types of sensor units, which are used to simultaneously collect environmental parameter information, physical posture change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record various types of collected data in a time series based on a timestamp mechanism; The status information collection module is also provided with an event parsing unit for converting the collected data into event tags according to preset rules, and building a status data tracking chain covering the entire process by binding it one-to-one with the digital identity generated by the identification reading module.

[0034] The event analysis unit includes a state recognition module, which uses a machine learning model constructed based on training data to process the state data with timestamps collected from the multi-type sensor units to divide the state data into preset event type categories; the event type categories include at least one of drop impact, vibration abnormality, tilt offset, static state exceeding a set time, and temperature and humidity exceeding a set range.

[0035] Specifically, to achieve comprehensive monitoring of logistics materials in different links (transportation, storage, loading and unloading), the system deploys the following multi-type sensor units: Temperature and humidity sensor (DHT22): collects temperature ,humidity ; Three-axis accelerometer (ADXL345): obtain three-axis acceleration , Gyroscope (MPU6050): measures the tilt angle ; Optional barometer (BMP280): air pressure , used to assist in handling detection.

[0036] The complete state vector at each time point t is:

[0037] The system constructs a time series dataset in the form of periodic sampling:

[0038] Each set of data is bound to a digital identity , forming a complete state recording unit:

[0039] The system performs preliminary event recognition based on preset thresholds. The judgment rules are as follows:

[0040] in: : Earth's standard gravitational acceleration; : The set shock tolerance deviation; : tilt threshold; , : The upper limit of temperature and humidity depends on the transported materials.

[0041] To enhance the accuracy of judgment, the system introduces a supervised learning model, and the model input is a state time window sequence:

[0042] The model output is an event type label E∈C, where the event set is:

[0043] The event recognition model function is expressed as:

[0044] in is the trained support vector machine (SVM) or random forest model, and θ is the model parameter.

[0045] Each identified event is recorded in a structured form and bound to the substance identity code to form an event record unit:

[0046] 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.

[0047] An encryption processing module, connected to the status information collection module, for encrypting the bound identity information and status information before uploading; A trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in a tamper-proof chain format and support subsequent material identification, status tracking, and responsibility verification based on the digital identity; The event response module is in communication with the trusted evidence storage module and is used to automatically generate event-level response data when abnormal conditions, out-of-limit events or environmental deviation conditions are identified, and to provide a trigger basis for supervision, early warning or disposal instructions.

[0048] 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 status data obtained from the trusted evidence storage module. The event types include environmental parameter exceeding the limit, abnormal transportation posture, unauthorized operation behavior, etc. The response data generation unit is used to generate a structured event response data packet based on the event type. The data packet includes at least the event type identifier, the event occurrence time, the digital identity identifier of the logistics material to which it belongs, and the corresponding status summary information, and is sent to the preset response system or supervision node through the communication interface.

[0049] 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 according to a preset response level mapping table, and the response level includes at least one of a silent recording level, an early warning notification level and a forced intervention level; the response data generation unit adds a corresponding level identification 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.

[0050] 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 based on preset judgment rules to determine whether it belongs to one of the following event types: Environmental parameters exceed the limit: such as temperature and humidity exceed the set safety range; Abnormal transportation posture: such as the item is severely tilted, vibrated or dropped; Unauthorized operations: such as unauthorized unpacking, handling, and transfer.

[0051] After the determination is completed, the identified event type encoding result is passed as input to the response data generation unit.

[0052] After receiving the event type information, the response data generation unit constructs a standardized structured event data packet. The data packet contains at least the following fields: Event type identification: such as "temperature exceeding the limit", "drop shock", "unauthorized opening", etc. Time of event occurrence: determined by the timestamp recorded in the evidence storage module; Digital identity of the logistics material: the logistics unit number bound to the event; Status summary information: Contains brief data related to the event, such as temperature values, tilt values, or behavior labels.

[0053] The generated data packets are temporarily stored in the sending queue, waiting for scheduling by the response level control unit.

[0054] 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. The mapping table supports the following level configurations: Silent recording level: Events are recorded but not pushed, and are only used for log auditing (such as minor vibrations); Early warning notification level: push notifications to the monitoring backend or supervisor (e.g., ambient temperature exceeds the limit); Forced intervention level: Send forced instructions to the linkage system (such as turning on the refrigeration system, triggering the alarm, etc.).

[0055] Depending on the level matched, the unit performs the following actions on the response packet: Add the "Response Level Identification" field to the data packet; Control the push destination of response data (such as regulatory platform, cloud-based central control, and enterprise ERP interface); Set the sending priority and effective time window of the data packet (such as "Send immediately" or "Valid within 10 minutes").

[0056] Finally, the event response data is sent through the communication interface, and the sending log records are retained in the background.

[0057] The specific implementation of this system is as follows: Unique ID embedding and generation: The system uses an embedded identification generation module to embed a responsive identification unit within the target material's structure or packaging. This unit responds to specific environmental parameter changes by emitting a readable signal, integrating physical and secure identification information. This ensures the identification is non-disassembled and non-replaceable, laying the foundation for the system's unique identification.

[0058] Identity recognition and activation reading: When triggered by transportation or operation, the identification reader module uses specific methods (such as light, electricity, or radio frequency) to stimulate and identify the embedded identification unit, analyze the identity information contained therein, and generate a unique digital identity. This identity serves as the sole anchor point for subsequent full-process status recording and tracking.

[0059] State awareness and digital identity binding: The status information collection module, through linkage with the identification reading module, collects the status data of logistics materials in key links such as transportation, storage, loading and unloading in real time, covering multi-dimensional indicators such as location, environment, and operating behavior, and binds them one by one with the corresponding digital identity identification to form a structured and traceable status data record.

[0060] Data encryption and secure upload: The collected identity and status data is securely encrypted by the encryption processing module, ensuring confidentiality and integrity during transmission and subsequent evidence storage. The encrypted data is uploaded to the backend processing system or evidence storage module, laying the data foundation for the system's trustworthiness.

[0061] Unalterable chain-based evidence: The Trusted Evidence Module records every encrypted data entry in a chained structure, ensuring that data remains unalterable and unforgeable throughout the entire process. This module enables digital identity-based logistics material identification, status traceability, and accountability verification, strengthening the system's compliance and audit capabilities.

[0062] Intelligent response to abnormal events: The system dynamically monitors the status data recorded in the trusted evidence module through the event response module. When abnormal status, out-of-limit events or environmental deviation conditions are identified, it automatically generates a structured event response data packet containing event tags, timestamps, status summaries, etc., and provides early warnings, instructions or recording basis to the regulatory system, enterprise platform or disposal unit according to preset rules, thereby building an event-level intelligent feedback link.

[0063] In summary, this system comprises six modules: "identity embedding," "identity recognition," "status collection," "encrypted upload," "trusted evidence storage," and "event response," forming an integrated intelligent logistics monitoring and tracking architecture. Through material-level identity binding, multi-dimensional status integration, event-level linkage, and trusted traceability, this solution effectively enhances logistics security, controllability, and accountability transparency. It is suitable for demanding logistics scenarios such as dangerous goods transportation, cold chain supervision, military supplies tracking, and the distribution of high-value consumables, demonstrating both technological advancement and industry adaptability.

[0064] The above-described embodiments do not constitute a limitation on the scope of protection of this technical solution. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the above-described embodiments shall be included in 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 identity information for the target logistics material. The identification unit is embedded in the target logistics material's main structure or packaging carrier and has physical or chemical response characteristics that can be activated and read under preset environmental parameter changes; An identification reading module, arranged corresponding to the embedded identification generating module, is used to identify the target logistics material under transportation or operation trigger conditions, extract the identity information in the identification unit, and generate a unique digital identity; A status information collection module, connected to the identification reading module, is used to collect status information of the target logistics material during transportation, storage or loading and unloading, wherein the status information includes at least one item of location data, environmental data or operation behavior information, and is bound to the digital identity identification; An encryption processing module, connected to the status information collection module, for encrypting the bound identity information and status information before uploading; A trusted evidence storage module, connected to the encryption processing module, is used to record the encrypted data in a tamper-proof chain format and support subsequent material identification, status tracking, and responsibility verification based on the digital identity; The event response module is in communication with the trusted evidence storage module and is used to automatically generate event-level response data when abnormal conditions, out-of-limit events or environmental deviation conditions are identified, and to provide a trigger basis for supervision, early warning or disposal 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 the condition of changes in environmental parameters, and the response mechanism includes at least one of photoluminescence response, thermochromic response, gas-sensitive color response or electromagnetic wave excitation response.

3. The intelligent logistics information management system according to claim 1, characterized in that: The identification unit is constructed using an embedded microstructure coding method. The coding structure is set between the main structure of the target logistics material or the packaging middle layer, 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 sensitive to different spectral ranges or environmental parameters. Each layer is used to carry identity information of different dimensions. The encoded information can only be recognized 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 placing the responsive identification material in an irreversible position in the material structure or the packaging middle layer; the data association includes mapping the unique coding information carried by the identification unit with the physical characteristic parameters of the target logistics material one by one to establish a digital identity binding relationship; When reading the identification unit information, the physical parameters and coding data are synchronously compared to confirm the uniqueness of the corresponding identification and substance.

6. The intelligent logistics information management system according to claim 1, characterized in that: The identification unit is provided with an identifiability control means for activating the identification function when a preset trigger condition is met. The trigger conditions include at least one environmental parameter threshold condition, a timing operation state or an 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 it is detected that the number of identifications exceeds a preset upper limit or abnormal reading behavior is detected, the identification unit can automatically enter a shielding or self-destruction state.

7. The intelligent logistics information management system according to claim 1, characterized in that: The state information acquisition module includes multiple types of sensor units, which are used to simultaneously collect environmental parameter information, physical posture change information, and operational behavior information generated by the target logistics material during transportation, storage, or loading and unloading, and record various types of collected data in a time series based on a timestamp mechanism; The status information collection module is also provided with an event parsing unit for converting the collected data into event tags according to preset rules, and building a status data tracking chain covering the entire process by binding it one-to-one with the digital identity generated by the identification reading module.

8. The intelligent logistics information management system according to claim 7, characterized in that: The event analysis unit includes a state recognition module, which uses a machine learning model constructed based on training data to process the state data with timestamps collected from the multi-type sensor units to divide the state data into preset event type categories; the event type categories include at least one of drop impact, vibration abnormality, tilt offset, static state exceeding 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 status data obtained from the trusted evidence storage module. The event types include environmental parameter exceeding the limit, abnormal transportation posture, unauthorized operation behavior, etc. The response data generation unit is used to generate a structured event response data packet based on the event type. The data packet includes at least the event type identifier, the event occurrence time, the digital identity identifier of the logistics material to which it belongs, and the corresponding status summary information, and is sent to the preset response system or supervision node through the communication interface.

10. The intelligent logistics information management system according to claim 1, 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 according to a preset response level mapping table, and the response level includes at least one of a silent recording level, an early warning notification level and a forced intervention level; the response data generation unit adds a corresponding level identification 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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