A product data sharing early warning management and control analysis system

Abstract

The application relates to the field of dangerous chemical supply chain management and control, and discloses a product data sharing, early warning and analysis system for management and control, which comprises a wireless radio frequency label, a first anti-counterfeiting coating on the surface of the label and arranged at a sealing area of a chemical packaging box, a camera for collecting anti-counterfeiting coating images, a plurality of sub-servers provided with a transportation verification strategy and used for jointly analyzing label information and anti-counterfeiting coating images, a wireless radio frequency reader-writer for updating label information, and a control server provided with a warehouse management strategy and a warehouse monitoring strategy. Therefore, the storage area of dangerous chemicals in the warehouse is determined, and the safe and stable transportation of the chemicals is realized.

Description

Technical Field

[0001] This invention relates to the field of hazardous chemical supply chain management, specifically to a data sharing, early warning, and analysis system for managed products. Background Technology

[0002] Hazardous chemicals are characterized by their flammability, explosiveness, toxicity, and corrosiveness. Their supply chain involves multiple stages, including production, storage, transportation, and trading. The complexity of product process management and the inherent safety risks are extremely high. A safety accident could result in severe casualties and environmental pollution. Therefore, achieving comprehensive safety supervision and risk warning throughout the production, distribution, and use stages of the hazardous chemicals supply chain is a critical issue that urgently needs to be addressed within the industry.

[0003] The existing processes for the control and logistics of hazardous chemicals, especially in the trading and transportation processes, often encounter the following technical problems:

[0004] First, in the transportation and handover of hazardous chemicals, existing control measures cannot provide real-time feedback, which means that abnormal behavior is often only discovered after the goods arrive, making risk tracing difficult and missing the best opportunity for intervention.

[0005] Second, existing storage decisions are often based on simple experience or static partitioning, which may lead to highly sensitive goods being incorrectly allocated to unsuitable or unstable areas, posing significant security risks.

[0006] Third, existing qualification reviews of trading parties and transporters in the supply chain rely too heavily on static compliance documents, making it difficult to effectively identify potential risk signals during transportation. Summary of the Invention

[0007] The summary section of this invention provides a brief overview of the concepts, which will be described in detail in the detailed description section below. This summary section is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0008] This invention proposes a data sharing, early warning, and analysis system for managing and controlling products to solve one or more of the technical problems mentioned in the background section above.

[0009] This invention provides a data sharing, early warning, and analysis system for managing and controlling product data, comprising:

[0010] Radio frequency tag, the radio frequency tag stores radio frequency tag information and is set in the sealing area of ​​chemical packaging box, the surface of the radio frequency tag is covered with a Class I anti-counterfeiting coating, the Class I anti-counterfeiting coating covers the sealing area;

[0011] A camera is used to capture images of the anti-counterfeiting coating.

[0012] Multiple sub-servers are deployed with a transportation verification strategy, which involves joint analysis of RFID tag information and anti-counterfeiting coating images.

[0013] The wireless RFID reader is used to receive write commands from the sub-server and update the wireless RFID tag information. The wireless RFID reader is also used to collect wireless RFID tag information and to associate the camera with the wireless RFID reader.

[0014] The control server analyzes multiple environmental data and generates sensor anomaly frequency indicators. It also communicates with multiple sub-servers to obtain RFID tag information. The control server is equipped with inbound management and warehouse monitoring strategies. The inbound management strategy involves determining the storage area sequence based on stability indicators, filtering the storage area sequence based on storage area environmental indicators, and then determining the storage area.

[0015] Optionally, the control server is also used to execute inbound management policies based on the inbound information, including:

[0016] Construct a sequence of chemicals to be put into storage corresponding to the storage information;

[0017] Generate a corresponding stability index for each chemical in the chemical sequence to be stored, and determine the corresponding storage area sequence based on the stability index;

[0018] For each storage area in the storage area sequence, the corresponding storage area environmental indicators are determined based on the inbound / outbound frequency and the sensor abnormality index frequency for each storage area.

[0019] Based on the storage area environmental indicators, the storage areas are sorted in sequence to determine the storage areas.

[0020] Optionally, the control server is also used to adjust the storage area sequence according to multiple sensors and warehouse monitoring strategies. These multiple sensors correspond one-to-one with multiple environmental data points. Adjusting the storage area sequence based on these sensors and warehouse monitoring strategies includes:

[0021] Acquire multiple historical sensor data corresponding to multiple sensors, and generate multiple sensor data fluctuation ranges for multiple historical sensor data;

[0022] Based on the fluctuation range of multiple sensor data and multiple environmental data, multiple environmental data fluctuation results are generated. If any environmental data fluctuation result in the multiple environmental data fluctuation results indicates an abnormal fluctuation, a warehouse early warning information is generated.

[0023] For each environmental data fluctuation result among multiple environmental data fluctuation results, determine the abnormal sensor category and the corresponding abnormal sensor identifier based on the environmental data fluctuation result;

[0024] Based on the abnormal sensor category, abnormal sensor identifier, and multiple historical sensor data, determine the abnormal frequency corresponding to the abnormal sensor identifier;

[0025] If the abnormal frequency reaches the preset abnormal frequency threshold, the storage area corresponding to the abnormal sensor identifier is identified as a risk storage area, and the storage area sequence is corrected according to the risk storage area.

[0026] Optionally, the control server is also used to perform trader qualification analysis, which includes:

[0027] Obtain the transaction information from the trading parties, including company identification, business license images, historical transaction records, and chemical inventory sequences;

[0028] The business scope information is obtained by extracting the business license image using image recognition technology.

[0029] Based on the company identifier, obtain publicly available business scope information corresponding to the transacting party;

[0030] Perform a consistency check on the business scope information and the publicly disclosed business scope information, and generate the first check result;

[0031] If the first verification result is inconsistent, a first warning message is generated;

[0032] If the first verification result is consistent, the transaction order information of the transacting party is obtained. The transaction order information includes multiple CAS identifiers.

[0033] Based on multiple CAS identifiers, generate a list of CAS identifiers to be screened for transaction order information;

[0034] The list of CAS identifiers to be screened is matched with the preset list of hazardous CAS identifiers. If any CAS identifier to be screened in the list of CAS identifiers to be screened is successfully matched with the preset list of hazardous CAS identifiers, the scope of the license and the validity period are extracted from the business license image through image recognition technology to obtain the hazardous chemical business license information.

[0035] Based on the company identification, obtain the publicly available hazardous chemical business license information corresponding to the trading parties;

[0036] A consistency verification is performed between the hazardous chemicals business operation permit information and the publicly available hazardous chemicals business operation permit information, and a second verification result is generated;

[0037] If the second verification result is inconsistent, a second warning message will be generated.

[0038] Optionally, the control server is also used to perform carrier qualification analysis, which includes:

[0039] Obtain the transportation declaration information from the transportation party, which includes transportation qualification information, driver qualification information, vehicle qualification information, and historical transportation information;

[0040] The consistency of the transportation qualification information and the driver qualification information is verified separately to obtain the verification results of the transportation qualification information and the driver qualification information. The transportation party whose verification results of the transportation qualification information and the driver qualification information are consistent is determined to be a compliant transportation party.

[0041] Based on the transaction order information, the transportation vehicle requirements are determined, and based on the vehicle qualification information and transportation vehicle requirements, transportation screening results are generated for compliant transportation providers.

[0042] Optionally, the anti-counterfeiting coating image includes a first type of anti-counterfeiting coating image, and correlation analysis is performed on the RFID tag information and the anti-counterfeiting coating image, including:

[0043] Based on the first type of anti-counterfeiting coating image, generate coating damage verification results for the anti-counterfeiting coating;

[0044] If the coating damage verification result indicates that the coating has been damaged, a third warning message is generated based on the RFID tag information and sent to the control server. The RFID tag information includes the recorded logistics node sequence.

[0045] If the coating damage verification result indicates no damage, then the transportation information is obtained based on the order number. The transportation information includes a preset logistics node sequence and a vehicle identification sequence.

[0046] Obtain the node information corresponding to the last logistics node in the recorded logistics node sequence, and determine it as the last logistics node information;

[0047] Based on the current sub-server identifier, obtain the actual preset logistics node corresponding to the sub-server identifier from the preset logistics node sequence, and determine the node information corresponding to the previous preset logistics node of the actual preset logistics node as the previous preset logistics node information.

[0048] The consistency of the last logistics node information and the previous preset logistics node information is verified to obtain the verification result of the previous logistics node information.

[0049] If the verification result of the previous logistics node information is inconsistent, a fourth warning message will be generated.

[0050] If the verification result of the previous logistics node is consistent, a write command for the wireless radio frequency reader / writer is generated.

[0051] Optionally, the chemical packaging box also features a second type of anti-counterfeiting coating, the anti-counterfeiting coating image of which also includes a second type of anti-counterfeiting coating image, and

[0052] Based on the first type of anti-counterfeiting coating image, generate coating damage verification results for the anti-counterfeiting coating, including:

[0053] Obtain the first-class anti-counterfeiting coating destructive verification result and obtain the second-class anti-counterfeiting coating destructive verification result;

[0054] If the verification result of the first type of anti-counterfeiting coating destruction or the verification result of the second type of anti-counterfeiting coating destruction indicates that the coating destruction has been destroyed, then the verification result of the coating destruction will be determined as destroyed.

[0055] If the verification result of the second type of anti-counterfeiting coating has been damaged, the chemical packaging box identifier corresponding to the anti-counterfeiting coating image is obtained, and a chemical packaging box tipping warning information is generated based on the chemical packaging box identifier.

[0056] Optionally, generating coating damage verification results for the anti-counterfeiting coating also includes:

[0057] The corresponding vehicle identification is determined based on the chemical packaging box markings in the RFID tag information;

[0058] Statistics on the damage rate of anti-counterfeiting coatings corresponding to vehicle identification marks;

[0059] If the damage rate of the anti-counterfeiting coating is greater than or equal to the first damage rate threshold and less than the second damage rate threshold, then an operation error warning message is generated based on the sub-server identifier.

[0060] If the damage rate of the anti-counterfeiting coating is greater than or equal to the second damage rate threshold, then the proportion of vehicles with an anti-counterfeiting coating damage rate greater than or equal to the second damage rate threshold in the vehicle identification sequence is counted to obtain the damage rate proportion.

[0061] If the damage rate reaches the preset damage rate threshold, a road condition warning will be generated based on the sub-server identifier and the preset logistics node sequence.

[0062] Optionally, the control server is also used to adjust the preset logistics node sequence corresponding to the order number to be corrected based on traffic condition warning information, including:

[0063] Obtain the order numbers to be verified within a preset time period to obtain the sequence of order numbers to be verified;

[0064] Information on faulty road sections is obtained from traffic condition warnings, and the faulty road section information is used to filter the order number sequence to be checked to obtain the order number sequence to be corrected.

[0065] For each order number in the order number sequence to be corrected, obtain the corresponding destination location information based on the order number to be corrected, and update the preset logistics node sequence to be corrected corresponding to the order number to be corrected based on the destination location information and the faulty road segment information.

[0066] The present invention has the following beneficial effects:

[0067] 1. Enhanced the physical safety assurance and timeliness of abnormal behavior warnings for hazardous chemicals during transportation. Specifically, by applying a first-class anti-counterfeiting coating covering the sealing area and a second-class anti-counterfeiting coating covering the sides of the chemical packaging, dual physical protection against tampering and dumping was achieved. Simultaneously, a transportation verification strategy was deployed, using joint analysis of RFID tag information and anti-counterfeiting coating images to monitor the consistency of coating damage and logistics node information in real time. This joint verification mechanism ensures that warning or dumping alerts are immediately generated when any safety link is compromised, thereby significantly improving the ability to quickly locate abnormal behavior and the level of supply chain security.

[0068] 2. Improved the scientific rigor and environmental stability of hazardous chemical storage area allocation. Specifically, by deploying inbound management strategies and constructing stability indicators encompassing multiple dimensions such as temperature, light, and volatility for chemicals to be stored, initial screening of storage areas was achieved. Based on this, warehouse monitoring strategies calculated storage area environmental indicators using inbound / outbound frequency influencing factors and abnormal sensor index frequencies. By performing ascending-order screening of storage area sequences, chemicals were allocated to the most stable and healthiest areas. This decision-making mechanism, combining the inherent properties of chemicals with the dynamic health status of the storage areas, effectively reduced safety risks caused by inappropriate storage environments.

[0069] 3. It achieves in-depth and dynamic risk correction for the qualification review of supply chain participants (trading parties and transporters). Specifically, after completing the static qualification consistency verification of trading parties and transporters, dynamic risk analysis is further performed based on historical transaction and transportation records. This includes: constructing risk sequences based on changes in hazardous chemical transaction volume, transportation volume, transaction frequency, and transportation frequency, and generating potential risk levels for trading parties and transporters. Simultaneously, using the qualification assessment results of trading parties and their potential risk levels, a real-time trading party trust index is constructed; similarly, using the qualification assessment results of transporters and their potential risk levels, a real-time transporter trust index is constructed. These real-time trading party trust indices and real-time transporter trust indices restrict subsequent transaction activities of entities that pass the qualification analysis but possess high risks (e.g., those with medium or high potential risk levels), significantly improving the proactive identification capability of potential malicious behavior and systemic risks in the supply chain. Attached Figure Description

[0070] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0071] Figure 1 This is a schematic diagram of the structure of a product data sharing, early warning, and analysis system according to the present invention;

[0072] Figure 2 This is a flowchart of the transportation party qualification analysis of a product data sharing early warning analysis system according to the present invention;

[0073] Figure 3 This is a flowchart illustrating the generation of coating damage verification results in a data sharing and early warning analysis system for controlled products according to the present invention. Detailed Implementation

[0074] The invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustrative purposes only and are not intended to limit the scope of protection of the invention.

[0075] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0076] It should be noted that the concepts of "first" and "second" mentioned in this invention are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0077] It should be noted that the terms "a" and "a plurality of" used in this invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0078] The names of messages or information exchanged between the various devices of this invention are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0079] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0080] like Figure 1 The diagram shown is a structural schematic of a data sharing, early warning, and analysis system for controlled products according to the present invention, specifically including:

[0081] Radio frequency tag 5, which stores radio frequency tag information and is set in the sealing area of ​​the chemical packaging box, has a first-class anti-counterfeiting coating on its surface, which covers the sealing area.

[0082] In some embodiments, such as Figure 1 As shown, the RFID tag information corresponding to the RFID tag 5 can be collected by the RFID reader 3. The RFID tag 5 can be set above the sealing area of ​​the chemical packaging box, and the surface of the RFID tag 5 is covered with a first-class anti-counterfeiting coating. The first-class anti-counterfeiting coating can be set in the sealing areas of the top and bottom of the chemical packaging box. The state change of the first-class anti-counterfeiting coating can be used to determine whether the chemical packaging box has been opened.

[0083] Among them, the anti-counterfeiting coating is a stress-sensitive destructive coating. In practice, VOID-type anti-counterfeiting materials can be used. This material appears as a uniform color (such as red or gray) in a normal, unstressed state. Once the sealed area of ​​the chemical packaging box is attempted to be opened, the coating material will be torn due to stress. At this time, the preset warning words (such as "OPENED", "VOID" or "opened") will irreversibly appear or transfer to the surface of the label or packaging box. This visible change in state can serve as a physical basis for judging whether the chemical packaging box has been opened.

[0084] Camera 4 is used to capture images of the anti-counterfeiting coating.

[0085] In some embodiments, the camera 4 can be set at different logistics nodes and associated with the wireless radio frequency reader 3. The camera 4 can capture images of the anti-counterfeiting coating so that the sub-server can analyze whether the chemical packaging box has been opened.

[0086] Multiple sub-servers are deployed with a transportation verification strategy, which involves joint analysis of RFID tag information and anti-counterfeiting coating images.

[0087] In some embodiments, multiple sub-servers can be set up at different logistics nodes to track and synchronize the status of chemical packaging boxes. Each sub-server is also deployed with a transportation verification strategy, which can perform joint analysis of the chemical packaging boxes using RFID tag information and anti-counterfeiting coating images. The logistics nodes can be preset transit points in the transportation route, capable of updating the transportation status information of the chemical packaging boxes.

[0088] In practice, each logistics node can be equipped with a sub-server 2, a camera 4, and a wireless radio frequency reader 3. When a transport vehicle passes by, the sub-server 2 can obtain the anti-counterfeiting coating image captured by the camera 4 and the wireless radio frequency tag information read by the wireless radio frequency reader 3. It can then perform unsealing detection, dumping detection, and entry detection of the logistics node sequence for multiple chemical packaging boxes in the transport vehicle, as well as update the logistics node sequence.

[0089] The wireless RFID reader 3 is used to receive the write command from the sub-server 2 and update the wireless RFID tag information. The wireless RFID reader 3 is also used to collect wireless RFID tag information. The camera 4 is associated with the wireless RFID reader 3.

[0090] In some embodiments, the RFID reader 3 can be set up at different logistics nodes, collect RFID tag information, and receive write instructions from the sub-server 2 to update the RFID tag information. The write instruction can be to change the entry status of the current logistics node to "entered".

[0091] Control server 1 is used to analyze multiple environmental data and generate sensor anomaly index frequencies. Control server 1 obtains radio frequency tag information by communicating with multiple sub-servers. Control server 1 is equipped with an inbound management strategy and a warehouse monitoring strategy. The inbound management strategy is as follows: determine the storage area sequence through stability indicators, filter the storage area sequence through storage area environmental indicators, and determine the storage area.

[0092] In some embodiments, control server 1 can be used to analyze multiple environmental data corresponding to multiple sensors to generate sensor anomaly index frequencies. Control server 1 also establishes communication connections with multiple sub-servers and can obtain RFID tag information through sub-servers 2. Control server 1 also deploys an inbound management strategy and a warehouse monitoring strategy. The inbound management strategy involves determining a storage area sequence by constructing stability indicators and filtering the storage area sequence by constructing storage area environmental indicators to ultimately determine the storage area corresponding to the inbound chemicals.

[0093] These embodiments enhance the physical safety of hazardous chemicals during transportation and improve the timeliness of abnormal behavior warnings. Specifically, by applying a first-type anti-counterfeiting coating covering the sealing area and a second-type anti-counterfeiting coating covering the sides of the chemical packaging, dual physical protection against tampering and tipping is achieved. Simultaneously, a transportation verification strategy is deployed, using joint analysis of RFID tag information and anti-counterfeiting coating images to monitor the consistency of coating damage and logistics node information in real time. This joint verification mechanism ensures that warning or tipping alerts are immediately generated when any safety link is compromised, thereby significantly improving the ability to quickly locate abnormal behavior and the level of supply chain security.

[0094] In some embodiments, to further address the second technical problem described in the background section, namely, "existing storage decisions are often based on simple experience or static partitioning, which may lead to highly sensitive goods being incorrectly allocated to unsuitable or environmentally unstable areas, posing significant security risks," in some embodiments of the present invention, the control server 1 is further configured to execute an inbound management strategy based on the inbound information, including:

[0095] Construct a sequence of chemicals to be put into storage corresponding to the storage information.

[0096] In some embodiments, the executing entity may be a control server 1. Upon receiving the warehousing information, the control server 1 can extract the chemicals to be warehoused from the warehousing information and generate a sequence of the chemicals to be warehoused.

[0097] For each chemical in the sequence to be stored, a corresponding stability index is generated, and the corresponding storage area sequence is determined based on the stability index.

[0098] In some embodiments, the control server 1 can construct a corresponding stability index for each chemical in the sequence to be stored, and determine the corresponding storage area sequence based on the stability index. The stability index can be determined using the following formula:

[0099]

[0100] in, For stability indicators; Temperature-sensitive weighting factor; It is a temperature-sensitive factor; Photosensitive weighting factor; Photosensitive factor; Volatilization weighting factor; Volatile factors; As a toxicity weighting factor; It is a toxic factor; For the purpose of guaranteeing options; This is the shelf-life factor.

[0101] For example, for toluene, the CAS identifier is 108-88-3; toluene is temperature-sensitive and requires low-temperature storage, so the corresponding temperature sensitivity weighting factor could be 0.2, the temperature sensitivity factor could be 8, and the corresponding weighted score could be 1.6; toluene can be exposed to normal light without significant risk, so the corresponding photosensitivity weighting factor could be 0.1, the photosensitivity factor could be 2, and the corresponding weighted score could be 0.2; toluene is highly volatile, flammable and explosive, so the volatility weighting factor could be 0.4, the volatility factor could be 9, and the corresponding weighted score could be 3.6; toluene is moderately toxic and requires ventilation, so the toxicity weighting factor could be 0.25, the toxicity factor could be 6, and the corresponding weighted score could be 1.5; toluene has a long shelf life, so the shelf life weighting factor could be 0.05, the shelf life factor could be 3, and the corresponding weighted score could be 0.15. Therefore, the stability index of toluene could be 7.05. Subsequently, control server 1 can select multiple storage regions suitable for toluene based on the stability index of toluene and the stability index range corresponding to different storage regions, and determine them as a storage region sequence.

[0102] For each storage region in the storage region sequence, the corresponding storage region environmental indicators are determined based on the inbound / outbound frequency and the sensor abnormality index frequency for each storage region.

[0103] In some embodiments, the frequency of inbound and outbound operations in a storage area can affect the environmental stability of that area. Based on this, the control server 1 can determine the environmental indicators of the storage area by combining the inbound / outbound frequency with the frequency of abnormal sensor readings. The environmental indicators of the storage area can be determined using the following formula:

[0104]

[0105] in, This is a storage area environment indicator. The higher the value of this indicator, the more unstable or unreliable the current environment is. The frequency of inbound and outbound operations is a factor that can be quantified by the number of inbound and outbound operations per unit time. These are the weighting factors corresponding to the frequency of warehousing, reflecting the importance of warehousing operations to environmental disturbances. For example, It could be 0.4; The frequency of sensor anomalies can be quantified by the number of times abnormal fluctuations are detected by all sensors within a given area per unit time. The weighting factors corresponding to the frequency of sensor anomaly indicators reflect the importance of the reliability of environmental monitoring. For example, It can be 0.6.

[0106] For example, for storage area A, if the frequency of inbound and outbound operations has an impact factor of 5, the corresponding weighted score could be 2; if the frequency of sensor anomaly indicators is 3, the corresponding weighted score could be 1.8, and the storage area environment index of storage area A could be 3.8.

[0107] Based on the storage area environmental indicators, the storage areas are sorted in sequence to determine the storage areas.

[0108] In some embodiments, the control server 1 can sort the storage region sequence in ascending order based on storage region environment indicators, and select the storage region corresponding to the first position in the sequence as the final storage region. For example, for storage regions A, B, and C, the corresponding storage region environment indicators can be 3.8, 5.5, and 2.1, respectively. The first position after sorting is 2.1, so storage region C can be selected as the storage region.

[0109] Control server 1 is also used to adjust the storage area sequence according to multiple sensors and warehouse monitoring strategies. These multiple sensors correspond one-to-one with multiple environmental data points. Adjusting the storage area sequence according to these sensors and warehouse monitoring strategies includes:

[0110] Acquire multiple historical sensor data corresponding to multiple sensors, and generate multiple sensor data fluctuation ranges for multiple historical sensor data.

[0111] In some embodiments, multiple sensors correspond to multiple environmental data points. Control server 1 can adjust the storage area sequence based on the multiple environmental data points corresponding to the multiple sensors and the warehouse monitoring strategy. Control server 1 can first acquire multiple historical sensor data points corresponding to the multiple sensors, then perform data cleaning to remove abnormal data, and construct multiple sensor data fluctuation ranges corresponding to the multiple sensors. In practice, the multiple sensors can be temperature sensors, light sensors, etc. Multiple historical sensor data points within one month can be selected as data sources to construct multiple sensor data fluctuation ranges. Each sensor data fluctuation range is the interval formed by the minimum and maximum data values ​​corresponding to that sensor.

[0112] Based on the fluctuation ranges of multiple sensor data and multiple environmental data, multiple environmental data fluctuation results are generated. If any of the multiple environmental data fluctuation results indicates an abnormal fluctuation, a warehouse early warning information is generated.

[0113] In some embodiments, the control server 1 can establish communication connections with multiple sensors and acquire multiple real-time environmental data. Subsequently, it compares the multiple environmental data with the corresponding fluctuation ranges of the multiple sensor data and generates corresponding environmental data fluctuation results. If at least one of the multiple environmental data fluctuation results indicates an abnormal fluctuation, a warehouse early warning message is generated based on the sensor corresponding to the abnormal data and the storage area identifier. For example, in the area identified as storage area TS-001, if the environmental data corresponding to the temperature sensor is lower than the environmental data fluctuation range, the corresponding warehouse early warning message could be "TS-001: Temperature Too Low".

[0114] For each environmental data fluctuation result among multiple environmental data fluctuation results, the abnormal sensor category and corresponding abnormal sensor identifier are determined based on the environmental data fluctuation result.

[0115] In some embodiments, the control server 1 can also find abnormal data that characterizes the abnormal fluctuations in the environmental data based on the environmental data fluctuation results, and determine the corresponding abnormal sensor category and abnormal sensor identifier based on the abnormal data. For example, the control server 1 can extract the abnormal sensor category (e.g., temperature sensor) and storage area identifier (e.g., TS-001) from the warehouse early warning information, retrieve the list of sensors configured corresponding to the storage area identifier in the database, and finally determine the abnormal sensor identifier that generated the abnormal data (e.g., temperature sensor: R-003).

[0116] Based on the abnormal sensor category, abnormal sensor identifier, and multiple historical sensor data, determine the abnormal frequency corresponding to the abnormal sensor identifier.

[0117] In some embodiments, the control server 1 can obtain corresponding historical sensor data from multiple historical sensor data sets based on the abnormal sensor category and abnormal sensor identifier, and then calculate the abnormal frequency corresponding to the abnormal sensor identifier in the historical sensor data. For example, one month of historical data can be selected, the abnormal sensor can be a temperature sensor, the temperature sensor can have 3000 data entries, and 30 of them can be abnormal data, then the corresponding abnormal frequency can be 1%.

[0118] If the abnormal frequency reaches the preset abnormal frequency threshold, the storage area corresponding to the abnormal sensor identifier is identified as a risk storage area, and the storage area sequence is corrected according to the risk storage area.

[0119] In some embodiments, the control server 1 can compare the abnormal frequency with a preset abnormal frequency threshold. If the abnormal frequency is greater than or equal to the preset abnormal frequency threshold (for example, the preset abnormal frequency threshold may be 3%), the storage area corresponding to the abnormal sensor identifier can be determined as a risk storage area. Subsequently, the order of the storage areas in the storage area sequence can be corrected. For example, for storage area B in the storage area sequence, if storage area B is a risk storage area, the order of storage area B can be corrected to the end of the storage area sequence.

[0120] Control server 1 is also used to perform trader qualification analysis, which includes:

[0121] Obtain the transaction information from the trading parties, including company identification, images of business licenses, historical transaction records, and chemical inventory sequences.

[0122] In some embodiments, the control server 1 can perform a trader qualification analysis to assess whether the transaction should be completed based on the trader's order requirements. The control server 1 can retrieve declaration information from a database. This declaration information can be data entered and stored in the database by the trader through a front-end interactive page, and may include company identification, business license images, historical transaction records, and chemical inventory sequences. Specifically, the company identification is used to uniquely identify the trader; the business license image contains information such as the trader's business scope; historical transaction records can be the trader's transaction records within one month, and may include information such as the specific trading partners and the types and quantities of chemicals traded; and the chemical inventory sequence can be the actual inventory quantity of each chemical in the trader's inventory.

[0123] The business scope information is obtained by extracting the business license image using image recognition technology.

[0124] In some embodiments, the control server 1 can use image recognition technology to identify and analyze the business license image, extracting business scope information from it. This business scope information can be combined with the trading party's ordering requirements to determine whether the trading party needs to be involved in the transaction of a specific chemical. The specific chemical may be toluene.

[0125] Based on the company identifier, obtain the publicly available business scope information of the corresponding trading party.

[0126] In some embodiments, the control server 1 can retrieve publicly available business scope information from a public database by means of the enterprise identifier. The publicly available business scope information can be used as a reference standard and compared with the business scope information in the transaction party's declaration information to determine whether the transaction party's information is true and valid.

[0127] A consistency check is performed between the business scope information and the publicly disclosed business scope information, and a first check result is generated.

[0128] In some embodiments, the control server 1 can compare the business scope information with the publicly available business scope information and obtain the corresponding first verification result, which may be consistent or inconsistent.

[0129] If the first verification result is inconsistent, a first warning message is generated.

[0130] In some embodiments, if the business scope information is inconsistent with the publicly available business scope information, the control server 1 can combine the enterprise identifier of the transacting party, the business scope information, and the publicly available business scope information to generate a first warning message, so that the operation and maintenance personnel can determine that the transacting party's qualifications are not approved. The first warning message may include the enterprise identifier, business scope information, publicly available business scope information, and a first verification result.

[0131] If the first verification result is consistent, the transaction order information of the transacting party is obtained. The transaction order information includes multiple CAS identifiers.

[0132] In some embodiments, if the business scope information is consistent with the publicly disclosed business scope information, the control server 1 can jointly determine the transaction order information corresponding to the trading party based on the enterprise identifier and the submission time corresponding to the declaration information. The transaction order information may include multiple CAS identifiers, representing the trading party's demand for different chemicals.

[0133] Based on multiple CAS identifiers, a list of CAS identifiers to be screened for transaction order information is generated.

[0134] In some embodiments, the control server 1 can construct a list of CAS identifiers to be screened corresponding to the transaction order information from multiple CAS identifiers in the transaction order information. This list of CAS identifiers to be screened can be used to determine whether the trading parties have engaged in the trading of hazardous chemicals.

[0135] The list of CAS identifiers to be screened is matched with the preset list of hazardous CAS identifiers. If any CAS identifier to be screened in the list of CAS identifiers to be screened is successfully matched with the preset list of hazardous CAS identifiers, the scope of the license and the validity period are extracted from the business license image through image recognition technology to obtain the hazardous chemical business license information.

[0136] In some embodiments, the control server 1 can traverse the list of CAS identifiers to be screened, determine whether there are any CAS identifiers to be screened that match a preset list of hazardous CAS identifiers. If any CAS identifier to be screened successfully matches a preset hazardous CAS identifier in the preset list of hazardous CAS identifiers, it indicates that the trading party is involved in a transaction involving hazardous chemicals. The control server 1 can also use image recognition technology to extract the scope of the hazardous chemicals license and the validity period of the license from the business license image, and combine this information to determine the hazardous chemicals business license information.

[0137] Based on the company identification, obtain the publicly available hazardous chemical business license information corresponding to the trading parties;

[0138] In some embodiments, the control server 1 can also retrieve information from a public database by enterprise identifier to obtain the permitted scope of publicly disclosed hazardous chemicals and the validity period of publicly disclosed operating licenses corresponding to the enterprise identifier in the public database, thereby obtaining publicly disclosed hazardous chemical operating license information. This information is then compared with the hazardous chemical operating license information of the trading party to determine whether the hazardous chemical operating license information of the trading party is authentic and valid.

[0139] A consistency check is performed between the hazardous chemicals business operation permit information and the publicly available hazardous chemicals business operation permit information, and a second check result is generated.

[0140] In some embodiments, the control server 1 can perform a consistency verification between the hazardous chemicals business license information and the publicly available hazardous chemicals business license information, and generate a second verification result. The second verification result can be consistent or inconsistent, and is used to determine whether the hazardous chemicals business license information of the transacting parties is authentic and valid.

[0141] If the second verification result is inconsistent, a second warning message will be generated.

[0142] In some embodiments, if the hazardous chemicals business license information and the publicly available hazardous chemicals business license information are inconsistent, it proves that there is false information in the hazardous chemicals business license information of the trading party. Based on this, control server 1 can generate a second warning message according to the enterprise identifier, hazardous chemicals business license information, and the second verification result, so that maintenance personnel can determine the trading party's qualification as unqualified. Finally, control server 1 can also generate a trading party qualification assessment result based on the analysis of the trading party's qualification, which can be either pass or fail. The second warning message may include the enterprise identifier, hazardous chemicals business license information, and the second verification result.

[0143] Control server 1 is also used to perform transporter qualification analysis, which includes:

[0144] Obtain the transportation declaration information from the transportation party, which includes transportation qualification information, driver qualification information, vehicle qualification information, and historical transportation information.

[0145] In some embodiments, such as Figure 2 As shown, control server 1 can also perform transporter qualification analysis. Control server 1 can retrieve transport declaration information from the database, which may include transport qualification information, driver qualification information, vehicle qualification information, and historical transport information. Specifically, transport qualification information may be a scanned copy or electronic record of the transport company's hazardous chemical road transport operation license, used to prove that the transporter has the legal qualifications to transport hazardous chemicals; driver qualification information may be scanned copies or electronic records of the road hazardous goods transport driver qualification certificates (or work permits) of all drivers participating in the transport, used to prove that the drivers have the safety capabilities to operate hazardous chemical transport; vehicle qualification information may be hazardous goods transport vehicle permits, vehicle technical grade certificates, and periodic safety inspection records of all vehicles used for the transporter's transport tasks, used to prove that the vehicles meet the safety standards and technical requirements for hazardous chemical transport; historical transport information may be the transporter's hazardous chemical order records for the previous month, which may include information such as the type and quantity of transported chemicals, transport routes, transport times, and historical violation records, used for subsequent dynamic risk analysis.

[0146] The consistency of transportation qualification information and driver qualification information is verified separately to obtain the verification results of transportation qualification information and driver qualification information. Transportation companies whose verification results of transportation qualification information and driver qualification information are consistent are identified as compliant transportation companies.

[0147] In some embodiments, the control server 1 can retrieve corresponding public information from a public database based on the identifiers of the corresponding qualifications in the transportation qualification information and driver qualification information. This public information is then compared with both the transportation qualification information and the driver qualification information to obtain corresponding verification results. Transportation companies whose verification results for both transportation qualification information and driver qualification information are consistent are identified as compliant transportation companies. The public database can be a public information platform that can retrieve complete qualification information based on the qualification identifiers corresponding to different qualification information, thereby achieving consistency verification of transportation declaration information.

[0148] Based on the transaction order information, the transportation vehicle requirements are determined, and based on the vehicle qualification information and transportation vehicle requirements, transportation screening results are generated for compliant transportation providers.

[0149] In some embodiments, control server 1 can determine the transportation vehicle requirements for this shipment based on transaction order information (e.g., chemical name, chemical quantity, destination address of the transacting party, etc.). For example, tank trucks can be used to transport gaseous or liquid chemicals. Subsequently, the vehicle requirements are matched with multiple vehicles corresponding to compliant transporters, and vehicles meeting the requirements are selected and determined as the transportation screening results. Finally, control server 1 can also generate a transporter qualification assessment result based on the transporter's qualifications, which can be either pass or fail.

[0150] Among them, the anti-counterfeiting coating image includes the first type of anti-counterfeiting coating image, and a correlation analysis is performed on the radio frequency tag information and the anti-counterfeiting coating image, including:

[0151] Based on the first type of anti-counterfeiting coating image, generate coating damage verification results for the anti-counterfeiting coating.

[0152] In some embodiments, the executing entity may be a sub-server 2. The anti-counterfeiting coating image may include a first type of anti-counterfeiting coating image. The sub-server 2 may combine the RFID tag information and the anti-counterfeiting coating image for correlation analysis to determine whether the chemical packaging box has been opened or dumped. The sub-server 2 may receive the first type of anti-counterfeiting coating image captured by the camera 4 and generate a coating damage verification result for the anti-counterfeiting coating.

[0153] If the coating damage verification result indicates that the coating has been damaged, a third warning message is generated based on the RFID tag information and sent to control server 1. The RFID tag information includes the recorded logistics node sequence.

[0154] In some embodiments, if the coating damage verification result indicates that the coating has been damaged, sub-server 2 can extract the chemical packaging box identifier from the RFID tag information and extract the current node information from the recorded logistics node sequence to generate a third warning message, which is then sent to control server 1. This causes control server 1 to execute emergency control strategies, such as locking the subsequent warehousing process of the chemical packaging box. The third warning message is used to warn that the goods may have been illegally opened or tampered with.

[0155] If the coating damage verification result indicates no damage, then the transportation information is obtained based on the order number. The transportation information includes a preset logistics node sequence and a vehicle identification sequence.

[0156] In some embodiments, if the coating damage verification result indicates no damage, the sub-server 2 can query the database to obtain the transportation information corresponding to the order number based on the order number. The transportation information includes a preset logistics node sequence and a vehicle identification sequence. The preset logistics node sequence refers to multiple logistics nodes configured in the preset logistics route, and the vehicle identification sequence refers to the vehicle identification of multiple transport vehicles corresponding to the order number.

[0157] Retrieve the node information corresponding to the last logistics node in the recorded logistics node sequence, and identify it as the last logistics node information.

[0158] In some embodiments, the sub-server 2 can obtain the sequence of recorded logistics nodes from the radio frequency tag information, and obtain the node information of the last logistics node in the sequence. The sequence of recorded logistics nodes refers to the multiple nodes that the vehicle corresponding to the current vehicle identifier has passed through and recorded according to the preset logistics route. The last logistics node refers to the last node in the recorded logistics nodes, which is the vehicle corresponding to the current vehicle identifier. The node information of the previous recorded node may include the node identifier and the logistics node identifier.

[0159] Based on the current sub-server identifier, obtain the actual preset logistics node corresponding to the sub-server identifier from the preset logistics node sequence, and determine the node information corresponding to the previous preset logistics node as the previous preset logistics node information.

[0160] In some embodiments, the current sub-server identifier refers to the sub-server identifier corresponding to the sub-server 2 configured in the current logistics node. The sub-server 2 can query and determine the actual preset logistics node corresponding to the sub-server identifier in the preset logistics node sequence based on the sub-server identifier. Then, it obtains the node information corresponding to the previous preset logistics node of the actual preset logistics node and compares it with the node information corresponding to the last logistics node to determine whether the previous logistics node has been correctly entered.

[0161] The consistency of the last logistics node information and the previous preset logistics node information is verified to obtain the verification result of the previous logistics node information.

[0162] In some embodiments, the sub-server 2 can perform consistency verification between the last logistics node information and the previous preset logistics node information, and generate the corresponding verification result of the previous logistics node information.

[0163] If the verification results of the previous logistics node are inconsistent, a fourth warning message will be generated.

[0164] In some embodiments, if the verification result of the previous logistics node is inconsistent, it means that the previous logistics node information of the chemical packaging box may not have been entered correctly due to an input operation error or the chemical packaging box being replaced. Therefore, the sub-server 2 can combine the node identifier and the chemical packaging box identifier to generate a fourth warning message so that the control server 1 can execute an emergency control strategy, such as locking the subsequent warehousing process of the chemical packaging box.

[0165] If the verification result of the previous logistics node is consistent, a write command is generated for the wireless radio frequency reader 3.

[0166] In some embodiments, if the verification result of the previous logistics node information is consistent, it means that the previous logistics node information has been correctly entered and the chemical packaging box has not been opened. The sub-server 2 can generate a write instruction so that the radio frequency reader 3 can enter the current logistics node information into the radio frequency tag 5.

[0167] The chemical packaging boxes also feature a second type of anti-counterfeiting coating, and the anti-counterfeiting coating image includes a second type of anti-counterfeiting coating image, as well as...

[0168] Based on the first type of anti-counterfeiting coating image, generate coating damage verification results for the anti-counterfeiting coating, including:

[0169] Obtain the first-class anti-counterfeiting coating destructive verification result and obtain the second-class anti-counterfeiting coating destructive verification result.

[0170] In some embodiments, such as Figure 3 As shown, the chemical packaging box is also equipped with a second type of anti-counterfeiting coating, which can be set on the side of the chemical packaging box. The sub-server 2 can collect images of the first type of anti-counterfeiting coating and the second type of anti-counterfeiting coating through the camera 4, and perform identification and analysis through image recognition technology to obtain the verification results of the first type of anti-counterfeiting coating destruction and the second type of anti-counterfeiting coating destruction.

[0171] If the verification result of the first type of anti-counterfeiting coating damage or the verification result of the second type of anti-counterfeiting coating damage indicates that the coating damage has been damaged, then the verification result of the coating damage will be determined as damaged.

[0172] In some embodiments, if either the first type of anti-counterfeiting coating destruction verification result or the second type of anti-counterfeiting coating destruction verification result indicates that the coating destruction verification result of the chemical packaging box is determined to be destroyed.

[0173] If the verification result of the second type of anti-counterfeiting coating has been damaged, the chemical packaging box identifier corresponding to the anti-counterfeiting coating image is obtained, and a chemical packaging box tipping warning information is generated based on the chemical packaging box identifier.

[0174] In some embodiments, if the verification result of the second type of anti-counterfeiting coating damage indicates that it has been damaged, it means that the chemical packaging box may have tipped over during transportation, and the packaged chemicals may have been affected. Sub-server 2 can generate chemical packaging box tipping warning information based on the chemical packaging box identifier and node information corresponding to the chemical packaging box, so that staff can check whether the chemicals have been affected.

[0175] The generation of coating damage verification results for anti-counterfeiting coatings also includes:

[0176] The corresponding vehicle identification is determined based on the chemical packaging box markings in the RFID tag information.

[0177] In some embodiments, sub-server 2 can query the database for the vehicle identifier corresponding to the chemical packaging box identifier based on the chemical packaging box identifier, thereby determining the transport vehicle where the chemical packaging box is located.

[0178] The damage rate of the anti-counterfeiting coating corresponding to vehicle identification is statistically analyzed.

[0179] In some embodiments, sub-server 2 can perform coating damage verification on the chemical packaging boxes inside the transport vehicle corresponding to each vehicle identifier, and calculate the anti-counterfeiting coating damage rate corresponding to the transport vehicle. For example, if the vehicle identifier sequence can correspond to transport vehicle A, transport vehicle B, and transport vehicle C, then sub-server 2 can calculate the anti-counterfeiting coating damage rate in transport vehicle A.

[0180] If the damage rate of the anti-counterfeiting coating is greater than or equal to the first damage rate threshold, then the proportion of vehicles with an anti-counterfeiting coating damage rate greater than or equal to the second damage rate threshold is counted to obtain the damage rate proportion.

[0181] In some embodiments, if the anti-counterfeiting coating damage rate is greater than or equal to a first damage rate threshold (e.g., the first damage rate threshold may be 20%), then the sub-server 2 can further calculate the anti-counterfeiting coating damage rates of multiple transport vehicles corresponding to the vehicle identification sequence, obtain an anti-counterfeiting coating damage rate sequence, and determine the proportion of anti-counterfeiting coating damage rates greater than or equal to a second damage rate threshold (e.g., the second damage rate threshold may be 40%) in the anti-counterfeiting coating damage rate sequence, and obtain the damage rate proportion. Specifically, when the anti-counterfeiting coating damage rate is less than the first damage rate threshold, the damage to the chemical packaging boxes in the transport vehicle may be due to accidental contact during transfer at different nodes; when the anti-counterfeiting coating damage rate is greater than or equal to the first damage rate threshold and less than the second damage rate threshold, the damage to the chemical packaging boxes in the transport vehicle may be caused by the vehicle's movement; when the anti-counterfeiting coating damage rate is greater than or equal to the second damage rate threshold, the damage to the chemical packaging boxes in the transport vehicle may be caused by the vehicle's movement, and the excessively high damage rate may indicate serious road conditions along the transport route.

[0182] If the damage rate reaches the preset damage rate threshold, a road condition warning will be generated based on the sub-server identifier and the preset logistics node sequence.

[0183] In some embodiments, sub-server 2 can compare the damage rate percentage with a preset damage rate percentage threshold (e.g., the preset damage rate percentage can be 30%). If the damage rate percentage reaches the preset damage rate percentage threshold, the reason for the damage to the anti-counterfeiting coating of the chemical packaging box in the vehicle identification sequence may be a road condition problem. Sub-server 2 can determine the current logistics node and the previous logistics node corresponding to sub-server 2 through sub-server identifier and preset logistics node sequence, and determine the road condition between the two as a faulty road condition, generating road condition warning information so that control server 1 can adjust the logistics route corresponding to subsequent transaction orders according to the road condition warning information.

[0184] Among them, control server 1 is also used to adjust the preset logistics node sequence corresponding to the order number to be corrected according to the road condition warning information, including:

[0185] Obtain the order numbers to be verified within a preset time period to obtain the sequence of order numbers to be verified.

[0186] In some embodiments, control server 1 can query a database for multiple order numbers to be verified within a preset time period to obtain a sequence of order numbers to be verified. The preset time period can be three days, and control server 1 can retrieve and obtain multiple order numbers to be verified within the next three days. The order numbers to be verified refer to order numbers that have passed the transaction party qualification analysis and transport party qualification analysis and are awaiting execution. Control server 1 can update the preset logistics node sequence within these order numbers based on road condition warning information.

[0187] Information on faulty road sections is obtained from traffic warning information, and the faulty road section information is used to filter the order number sequence to be checked to obtain the order number sequence to be corrected.

[0188] In some embodiments, the control server 1 can obtain faulty road segment information from the traffic condition warning information, determine the specific faulty road segment corresponding to the faulty road segment information, and then filter the preset logistics node information corresponding to each order number to be checked in the order number sequence to be checked, and determine multiple order numbers to be checked that have specific faulty road segments as the order number sequence to be corrected.

[0189] For each order number in the order number sequence to be corrected, obtain the corresponding destination location information based on the order number to be corrected, and update the preset logistics node sequence to be corrected corresponding to the order number to be corrected based on the destination location information and the faulty road segment information.

[0190] In some embodiments, the control server 1 can retrieve the corresponding destination location information from the database using the order number to be corrected. Then, based on the destination location information, the specific faulty road segment in the faulty road segment information, and the warehouse location information, it can re-determine the preset logistics node sequence that does not include the specific faulty road segment, so as to avoid being affected by the specific faulty road segment again in subsequent transportation.

[0191] These embodiments enhance the scientific rigor and environmental stability of hazardous chemical storage area allocation. Specifically, by deploying inbound management strategies and constructing stability indicators encompassing multiple dimensions such as temperature, light, and volatility for chemicals to be stored, initial screening of storage areas is achieved. Based on this, warehouse monitoring strategies utilize inbound / outbound frequency influence factors and abnormal sensor indicator frequencies to calculate storage area environmental indicators. By performing ascending-order screening of storage area sequences, chemicals are allocated to the most stable and healthiest environmental areas. This decision-making mechanism, combining the inherent properties of chemicals with the dynamic health status of the storage areas, effectively reduces safety risks caused by inappropriate storage environments.

[0192] In some embodiments, to further address the third technical problem described in the background section, namely, "existing qualification reviews of trading parties and transporters in the supply chain rely too heavily on static compliance documents, making it difficult to effectively identify potential risk signals during transportation," in some embodiments of the present invention, the control server 1 is further configured to determine the potential risk level of the trading party and the potential risk level of the transporter, including:

[0193] Based on historical transaction records and a pre-set list of hazardous CAS symbols, determine the transaction volume trend charts for multiple hazardous chemicals by the trading parties.

[0194] In some embodiments, the control server 1 can use historical transaction records as a data source and, in conjunction with a preset list of hazardous CAS identifiers, filter out multiple hazardous chemicals from the historical transaction records and calculate the historical transaction volume corresponding to these chemicals to obtain a trend chart of the transaction volume of multiple hazardous chemicals for the trading party. The historical transaction records can be the transaction records of the trading party from the previous month. For example, the multiple hazardous chemicals filtered from the historical transaction records could be toluene and concentrated sulfuric acid; then the corresponding trend chart of the transaction volume of these multiple hazardous chemicals could be a trend chart constructed separately for the transaction volume of toluene and concentrated sulfuric acid for one month.

[0195] If any of the multiple hazardous chemical transaction volume trend charts shows an anomaly, then based on historical transaction records, multiple trading objects corresponding to the trading party are obtained. Each of these trading objects corresponds to multiple hazardous chemical demand changes. Based on these multiple hazardous chemical demand changes, the risk sequence of the trading objects corresponding to the trading party is determined.

[0196] In some embodiments, the control server 1 can first determine whether any of the trend charts representing the trading volume of hazardous chemicals exhibits anomalies. If any trend chart shows anomalies, multiple trading objects are retrieved from the trading party's historical transaction records. Then, for each trading object, the change in hazardous chemical demand is determined. Trading objects with abnormally increased demand are identified as risky trading objects, and finally, a risk sequence for the trading objects corresponding to the trading party is obtained. Specifically, for the trend chart of hazardous chemical trading volume, the hazardous chemical can be toluene. If the percentage increase in toluene trading volume is greater than or equal to a trading volume increase threshold (e.g., the trading volume increase threshold can be 50%), then the trend of toluene trading volume is determined to be abnormal. For the change in hazardous chemical demand of multiple trading objects, these multiple trading objects can be trading object A and trading object B. Trading object A may involve toluene, and trading object B may involve concentrated sulfuric acid. If the percentage increase in the change in toluene demand is greater than or equal to a demand change threshold (e.g., the demand change threshold can be 50%), then the change in toluene demand is determined to be abnormally increased, and trading object A is identified as a risky trading object. Finally, trading object A is added to the risk sequence of trading objects.

[0197] Obtain the trading frequency corresponding to the risk sequence of the trading object, and determine the potential risk level of the trading object based on the trading frequency.

[0198] In some embodiments, the control server 1 can statistically analyze the trading frequency of each risky trading object in the risk sequence of trading objects, and determine the potential risk level of the trading party based on the trading frequency. Here, the risky trading object in the risk sequence can be trading object A, and the hazardous chemical involved can be toluene. The trading frequency and the potential risk level of the trading party can be as follows: a trading frequency of less than or equal to 5 times / month indicates a low potential risk level; a trading frequency greater than 5 times / month and less than or equal to 15 times / month indicates a medium potential risk level; and a trading frequency greater than 15 times / month indicates a high potential risk level. If the trading frequency between the trading party and trading object A is 20 times / month, then the potential risk level of the trading party can be high.

[0199] Based on historical transportation information, multiple transportation participants of the transporter are obtained, and the transportation change volume of multiple hazardous chemicals corresponding to each of the multiple transportation participants is determined. Based on the multiple transportation change volumes of hazardous chemicals, the risk sequence of the transportation participants corresponding to the transporter is determined.

[0200] In some embodiments, the control server 1 can query historical transportation information in the transportation declaration information of the transporter to obtain multiple transportation participants of the transporter within a certain period. For example, by selecting historical transportation information for one month, multiple transportation participants of the transporter for that month can be retrieved. Transportation participants can be trading parties or transit transporters. Each transportation participant can have multiple changes in the transportation volume of hazardous chemicals. For example, for transportation participant C, the hazardous chemicals involved can be toluene and concentrated sulfuric acid, corresponding to changes in the transportation volume of toluene and concentrated sulfuric acid. For each transportation participant, if the percentage increase in the transportation volume of any of the multiple hazardous chemicals is greater than or equal to a transportation volume increase threshold (for example, the transportation volume increase threshold can be 50%), then the transportation participant is determined to be at risk, and multiple transportation participants with risks are constructed into a transportation participant risk sequence corresponding to the transporter. For example, for transportation participant C, if the percentage increase in the transportation volume of toluene is 55%, then transportation participant C is determined to be a risky transportation participant.

[0201] The potential risk level of a transporter is determined based on the transaction frequency corresponding to the risk sequence of the transport participants.

[0202] In some embodiments, control server 1 can statistically analyze the transaction frequency of each transport participant in the transport participant risk sequence and determine the potential risk level of the transporter based on the transaction frequency. Here, the risky transport participant in the transport participant risk sequence can be transport participant C, the hazardous chemical involved can be concentrated sulfuric acid, and the transaction frequency and potential risk level can be as follows: a transaction frequency of less than or equal to 5 times / month indicates a low potential risk level; a transaction frequency greater than 5 times / month and less than or equal to 12 times / month indicates a medium potential risk level; and a transaction frequency greater than 12 times / month indicates a high potential risk level. If the transaction frequency between the transporter and transport participant C is 15 times / month, then the transporter's potential risk level can be high.

[0203] Based on the counterparty's qualification assessment results and potential risk level, a real-time counterparty trust index is constructed using the following formula:

[0204]

[0205] in, As a real-time trust indicator for trading parties; The weights corresponding to the assessment results of the transacting parties' qualifications; The score corresponding to the qualification assessment results of the trading parties; Weights corresponding to the potential risk levels of the transacting parties; The rating corresponds to the potential risk level of the trading parties.

[0206] In some embodiments, the control server 1 can construct a real-time trader trust index based on the trader's current qualification assessment result and the trader's potential risk level. Specifically, when the trader's qualification assessment result is "pass," the corresponding normalized score can be 1; when the trader's qualification assessment result is "fail," the corresponding normalized score can be 0; the weight corresponding to the trader's qualification assessment result can be 0.3; the weight corresponding to the trader's potential risk level can be 0.7; when the trader's potential risk level is low, the corresponding score can be 0.67; when the trader's potential risk level is medium, the corresponding score can be 0.33; and when the trader's potential risk level is high, the corresponding score can be 0. For example, for trader A, if the trader's qualification assessment result is "pass" (score can be 1) and the trader's potential risk level is low (score can be 0.67), then the real-time trader trust index can be 0.769.

[0207] Based on the real-time trader trust index and the historical trader trust index, the updated trader trust index is generated using the following formula:

[0208]

[0209] in, This is an updated trust indicator for trading parties; Historical trust weighting; This is a trust indicator for the parties involved in the previous transaction. This serves as a real-time trust indicator for trading parties.

[0210] In some embodiments, control server 1 can obtain the previous trader trust index by querying and combining it with the real-time trader trust index to obtain the updated trader trust index. The updated trader trust index can be used to intervene in the trader qualification analysis during the next trader qualification analysis. Specifically, when the trader's potential risk level has been low for the past month, the historical trust weight can be 0.8; when the trader's potential risk level has been medium or high for the past month, the historical trust weight can be 0.2. For example, for trader A, whose potential risk level has been low for the past month, the historical trust weight can be 0.8, the previous trader trust index can be 0.85, the real-time trader trust index can be 0.769, and the updated trader trust index can be 0.834. Based on the transporter's corresponding transporter qualification assessment results and transporter potential risk level, the real-time transporter trust index is constructed using the following formula:

[0211]

[0212] in, As a real-time trust indicator for the transporter; The weights corresponding to the assessment results of the transporter's qualifications; The score corresponding to the assessment results of the transporter's qualifications; The weights corresponding to the potential risk levels of the transporter; The rating corresponds to the potential risk level of the transporter.

[0213] In some embodiments, control server 1 can construct a real-time transporter trust index based on the transporter's qualification assessment result and potential risk level. Specifically, when the transporter's qualification assessment result is "pass," the corresponding normalized score can be 1; when the transporter's qualification assessment result is "fail," the corresponding normalized score can be 0; the weight corresponding to the transporter's qualification assessment result can be 0.3; the weight corresponding to the transporter's potential risk level can be 0.7; when the transporter's potential risk level is low, the corresponding score can be 0.67; when the transporter's potential risk level is medium, the corresponding score can be 0.33; and when the transporter's potential risk level is high, the corresponding score can be 0. For example, for transporter B, if the transporter's qualification assessment result is "pass" (score can be 1) and the transporter's potential risk level is medium (score can be 0.33), then the real-time transporter trust index can be 0.531.

[0214] Based on the real-time and historical carrier trust metrics, the updated carrier trust metrics are generated using the following formula:

[0215]

[0216] in, The updated trust index for transporters; Historical trust weighting; This is a trust indicator for the previous transporter; This serves as a real-time trust indicator for transportation providers.

[0217] In some embodiments, control server 1 can obtain the previous carrier trust index by querying and combining it with the real-time carrier trust index to obtain the updated carrier trust index. The updated carrier trust index can be used to intervene in the carrier qualification analysis during the next analysis. Specifically, when the carrier's potential risk level has been low for the past month, the historical trust weight can be 0.8; when the carrier's potential risk level has been medium or high for the past month, the historical trust weight can be 0.2. For example, for carrier B, if the potential risk level has been low for the past month, the historical trust weight can be 0.8, the previous carrier trust index can be 0.75, the real-time carrier trust index can be 0.531, and the updated carrier trust index can be 0.706.

[0218] Based on the real-time trader trust index, risk adjustments are made for the trader; based on the updated trader trust index, intervention is conducted for the next qualification analysis of the trader.

[0219] In some embodiments, the control server 1 can compare the real-time trader trust index with a first trader trust index threshold. If the real-time trader trust index is greater than or equal to the first trader trust index threshold, no risk correction is required. If the real-time trader trust index is less than the first trader trust index threshold, all CAS identifiers can be extracted from the risk sequence of the trading object, and deduplication can be performed to obtain a CAS identifier sequence to be limited. Risk trading intervention information is then generated so that staff can impose trading limits on the trader based on the CAS identifier sequence to be limited. The first trader trust index threshold can be 0.65. For example, the CAS identifier sequence to be limited for trader A can be toluene and concentrated sulfuric acid. When the real-time trader trust index for trader A is 0.59, the corresponding risk trading intervention information could be: a 30% limit on the toluene and concentrated sulfuric acid trading volume for trader A.

[0220] Control server 1 can also generate a preprocessing result for trader qualification analysis by comparing the updated trader trust index with a second trader trust index threshold during the next trader qualification analysis. The second trader trust index threshold can be 0.6. When the updated trader trust index is greater than the second trader trust index threshold, trader qualification analysis can continue; when the updated trader trust index is less than or equal to the second trader trust index threshold, a preprocessing result is generated to stop the trader qualification analysis for that trader. For example, for trader A, if the updated trader trust index is 0.834 before the next trader qualification analysis, the analysis can continue; for trader C, if the updated trader trust index is 0.56 before the next trader qualification analysis, the corresponding preprocessing result could be "not recommended to continue."

[0221] Based on real-time transporter trust metrics, risk adjustments are made for transporters; based on updated transporter trust metrics, interventions are made for the next qualification analysis of transporters.

[0222] In some embodiments, the control server 1 can compare the real-time transporter trust index with a first transporter trust index threshold. If the real-time transporter trust index is greater than or equal to the first transporter trust index threshold, no risk correction is required. If the real-time transporter trust index is less than the first transporter trust index threshold, the transport participant with the highest transaction frequency can be obtained from the transport participant risk sequence, and risk transport intervention information can be generated so that staff can restrict the number of transactions for that transport participant. The first transporter trust index threshold can be 0.65. For example, the real-time transporter trust index for transporter B can be 0.56, and the transport participant with the highest transaction frequency can be trading participant A. The risk transport intervention information could be: restrict the number of transactions between transporter B and trading participant A to 4 times per month.

[0223] Control server 1 can also generate a preprocessing result for the transporter qualification analysis by comparing the updated transporter trust index with a second transporter trust index threshold during the next transporter qualification analysis. The second transporter trust index threshold can be 0.6. When the updated transporter trust index is greater than the second transporter trust index threshold, the transporter qualification analysis can continue; when the updated transporter trust index is less than or equal to the second transporter trust index threshold, a preprocessing result is generated to stop the transporter qualification analysis. For example, for transport participant B, if the updated transporter trust index is 0.51 before the next transporter qualification analysis, the corresponding preprocessing result could be "not recommended to continue."

[0224] These embodiments enable in-depth and dynamic risk correction of the qualification review of supply chain participants (trading parties and transporters). Specifically, after completing the static qualification consistency verification of trading parties and transporters, dynamic risk analysis is further performed based on historical transaction and transportation records. This includes constructing a risk sequence based on changes in hazardous chemical transaction volume, transportation volume, transaction frequency, and transportation frequency, and generating potential risk levels for trading parties and transporters. Simultaneously, a real-time trading party trust index is constructed using the trading party qualification assessment results and the trading party potential risk level; a real-time transporter trust index is constructed using the transporter qualification assessment results and the transporter potential risk level. These real-time trading party trust indices and real-time transporter trust indices restrict subsequent transaction activities of entities that pass the qualification analysis but possess high risks (e.g., those with medium or high potential risk levels), significantly improving the proactive identification capability of potential malicious behavior and systemic risks in the supply chain.

[0225] The above description is merely a selection of preferred embodiments of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention is not limited to specific combinations of the above-described technical features, but also includes other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this invention.

Claims

1. A data sharing, early warning, and analysis system for product management, characterized in that, include: A radio frequency tag, wherein the radio frequency tag stores radio frequency tag information and is set in the sealing area of ​​a chemical packaging box, and the surface of the radio frequency tag is covered with a first type of anti-counterfeiting coating, the first type of anti-counterfeiting coating covering the sealing area; A camera, used to capture images of the anti-counterfeiting coating; Multiple sub-servers are deployed with a transportation verification strategy, which is to perform joint analysis on the radio frequency tag information and the anti-counterfeiting coating image. A wireless radio frequency reader / writer is used to receive write instructions from a sub-server and update the wireless radio frequency tag information. The wireless radio frequency reader / writer is also used to collect the wireless radio frequency tag information. The camera is associated with the wireless radio frequency reader / writer. A control server is used to analyze multiple environmental data and generate sensor anomaly frequency indicators; the control server obtains the radio frequency tag information by communicating with the multiple sub-servers; the control server is deployed with an inbound management strategy and a warehouse monitoring strategy, the inbound management strategy being: determining the storage area sequence through stability indicators, filtering the storage area sequence through storage area environmental indicators, and determining the storage area; The control server is further configured to execute the inbound management strategy based on the inbound information, wherein executing the inbound management strategy based on the inbound information includes: Construct a sequence of chemicals to be stored corresponding to the storage information; Generate a corresponding stability index for each chemical in the sequence of chemicals to be stored, and determine the corresponding storage area sequence based on the stability index; For each storage area in the storage area sequence, the corresponding storage area environmental indicators are determined based on the inbound / outbound frequency and the sensor abnormality index frequency corresponding to each storage area. Based on the storage area environment indicators, the storage area sequence is sorted to determine the storage area.

2. The data sharing, early warning, and analysis system for controlled products according to claim 1, characterized in that, The control server is further configured to adjust the storage area sequence based on multiple sensors and the warehouse monitoring strategy, wherein the multiple sensors correspond one-to-one with the multiple environmental data, and the adjustment of the storage area sequence based on the multiple sensors and the warehouse monitoring strategy includes: Acquire multiple historical sensor data corresponding to the multiple sensors, and generate multiple sensor data fluctuation ranges for the multiple historical sensor data; Based on the fluctuation range of the multiple sensor data and the multiple environmental data, multiple environmental data fluctuation results are generated. If any of the multiple environmental data fluctuation results indicates an abnormal fluctuation, a warehouse early warning information is generated. For each of the multiple environmental data fluctuation results, the abnormal sensor category and the corresponding abnormal sensor identifier are determined based on the environmental data fluctuation result. Based on the abnormal sensor category, the abnormal sensor identifier, and the multiple historical sensor data, determine the abnormal frequency corresponding to the abnormal sensor identifier; If the abnormal frequency reaches a preset abnormal frequency threshold, the storage area corresponding to the abnormal sensor identifier is determined as a risk storage area, and the storage area sequence is corrected according to the risk storage area.

3. The data sharing, early warning, and analysis system for controlled products according to claim 2, characterized in that, The control server is also used to perform trader qualification analysis on the trading parties, which includes: Obtain the declaration information of the transacting party, which includes enterprise identification, business license image, historical transaction records, and chemical inventory sequence; The business scope information is obtained by extracting the business license image using image recognition technology. Based on the enterprise identifier, obtain the publicly available business scope information corresponding to the transacting party; A consistency check is performed between the stated business scope information and the publicly disclosed business scope information, and a first check result is generated; If the first verification result is inconsistent, a first warning message is generated; If the first verification result is consistent, then the transaction order information of the transacting party is obtained, and the transaction order information includes multiple CAS identifiers; Based on the multiple CAS identifiers, a list of CAS identifiers to be screened for the transaction order information is generated; The list of CAS identifiers to be screened is matched with a preset list of hazardous CAS identifiers. If any CAS identifier in the list of CAS identifiers to be screened is successfully matched with the preset list of hazardous CAS identifiers, the scope of the license and the validity period are extracted from the business license image using image recognition technology to obtain hazardous chemical business license information. Based on the enterprise identifier, obtain the publicly available hazardous chemical business license information corresponding to the trading party; A consistency verification is performed between the hazardous chemicals business license information and the publicly available hazardous chemicals business license information, and a second verification result is generated; If the second verification result is inconsistent, a second warning message is generated.

4. The data sharing, early warning, and analysis system for controlled products according to claim 3, characterized in that, The control server is also used to perform transporter qualification analysis, which includes: Obtain the transportation declaration information of the transporter, which includes transportation qualification information, driver qualification information, vehicle qualification information, and historical transportation information; The consistency of the transportation qualification information and the driver qualification information is verified separately to obtain the verification results of the transportation qualification information and the driver qualification information. The transportation party whose verification results of the transportation qualification information and the driver qualification information are consistent is determined to be a compliant transportation party. Based on the transaction order information, the transportation vehicle requirements are determined, and based on the vehicle qualification information and the transportation vehicle requirements, transportation screening results are generated for the compliant transportation providers.

5. The data sharing, early warning, and analysis system for controlled products according to claim 4, characterized in that, The anti-counterfeiting coating image includes a first type of anti-counterfeiting coating image. The joint analysis of the RFID tag information and the anti-counterfeiting coating image includes: Based on the first type of anti-counterfeiting coating image, generate a coating damage verification result for the anti-counterfeiting coating; If the coating damage verification result indicates that the coating has been damaged, a third warning message is generated based on the RFID tag information and sent to the control server. The RFID tag information includes the recorded logistics node sequence. If the coating damage verification result indicates no damage, then based on the order number, the transportation information is obtained, which includes a preset logistics node sequence and a vehicle identification sequence; Obtain the node information corresponding to the last logistics node in the recorded logistics node sequence, and determine it as the last logistics node information; Based on the current sub-server identifier, obtain the actual preset logistics node corresponding to the sub-server identifier from the preset logistics node sequence, and determine the node information corresponding to the previous preset logistics node of the actual preset logistics node as the previous preset logistics node information. The consistency of the last logistics node information and the previous preset logistics node information is verified to obtain the verification result of the previous logistics node information. If the verification result of the previous logistics node information is inconsistent, a fourth warning message will be generated. If the verification result of the previous logistics node information is consistent, then the write instruction for the wireless radio frequency reader is generated.

6. The data sharing, early warning, and analysis system for controlled products according to claim 5, characterized in that, The chemical packaging box is also equipped with a second type of anti-counterfeiting coating, and the anti-counterfeiting coating image also includes a second type of anti-counterfeiting coating image, and The step of generating a coating damage verification result for the anti-counterfeiting coating based on the first type of anti-counterfeiting coating image includes: Obtain the first type of anti-counterfeiting coating damage verification result of the first type of anti-counterfeiting coating, and obtain the second type of anti-counterfeiting coating damage verification result of the second type of anti-counterfeiting coating; If the verification result of the first type of anti-counterfeiting coating destruction or the verification result of the second type of anti-counterfeiting coating destruction indicates that the coating destruction has been destroyed, then the verification result of the coating destruction is determined to be destroyed. If the verification result of the second type of anti-counterfeiting coating has been damaged, the chemical packaging box identifier corresponding to the anti-counterfeiting coating image is obtained, and a chemical packaging box tipping warning information is generated based on the chemical packaging box identifier.

7. The data sharing, early warning, and analysis system for controlled products according to claim 6, characterized in that, The generation of coating damage verification results for the anti-counterfeiting coating also includes: The corresponding vehicle identifier is determined based on the chemical packaging box identifier in the radio frequency tag information; Statistics on the damage rate of anti-counterfeiting coatings corresponding to vehicle identification marks; If the damage rate of the anti-counterfeiting coating is greater than or equal to the first damage rate threshold, and the damage rate of the anti-counterfeiting coating is less than the second damage rate threshold, then an operation error warning message is generated based on the sub-server identifier. If the damage rate of the anti-counterfeiting coating is greater than or equal to the second damage rate threshold, then the proportion of vehicles with an anti-counterfeiting coating damage rate greater than or equal to the second damage rate threshold is counted to obtain the damage rate proportion. If the damage rate percentage reaches a preset damage rate percentage threshold, then a road condition warning is generated based on the sub-server identifier and the preset logistics node sequence.

8. The data sharing, early warning, and analysis system for controlled products according to claim 7, characterized in that, The control server is also used to adjust the preset logistics node sequence corresponding to the order number to be corrected according to the road condition warning information, including: Obtain the order numbers to be verified within a preset time period to obtain the sequence of order numbers to be verified; The faulty road section information is obtained from the traffic condition warning information, and the faulty road section information is used to filter the order number sequence to be checked to obtain the order number sequence to be corrected. For each order number to be corrected in the order number sequence, obtain the corresponding destination location information based on the order number to be corrected, and update the preset logistics node sequence to be corrected corresponding to the order number to be corrected based on the destination location information and the faulty road segment information.

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