Intelligent convenient sandstone aggregate transaction system

Abstract

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to an intelligent convenient sand and gravel aggregate transaction system. BACKGROUND

[0002] In the fields of infrastructure construction, real estate development, and concrete production, sand and gravel aggregate, as a core raw material, has a growing transaction scale. Currently, the transaction of sand and gravel aggregate is mainly dominated by traditional offline mode, which has many pain points:

[0003] Complex and inefficient transaction process: the supply and demand parties need to complete the transaction through telephone communication, offline negotiation, and paper contract signing, etc. The average time from demand connection to order confirmation is more than 48 hours, and the order may be missed due to information transmission errors;

[0004] Lack of mobile operation: the existing few online transaction platforms mostly rely on PC web pages and are not adapted to the mobile office scenarios of sand and gravel aggregate industry practitioners (construction site procurement personnel, transport drivers, and yard managers). Practitioners need to be fixed at the office to operate and cannot respond to sudden changes such as order changes and transportation scheduling in real time;

[0005] Information asymmetry is prominent: the procurement party is difficult to obtain key information such as yard inventory, sand and gravel quality test report, and transport vehicle location in real time through the mobile terminal, and the supplier cannot timely grasp the demand changes of the procurement party, resulting in low matching efficiency of supply and demand, frequent inventory accumulation or raw material shortage;

[0006] Transaction supporting services are fragmented: the transaction of sand and gravel aggregate involves order generation, payment, logistics tracking, after-sales maintenance, and other whole-process services. The existing mobile tools mostly only cover a single link (such as only supporting order inquiry), and multiple applications need to be switched to complete the complete transaction, which has high operation complexity and poor user experience;

[0007] Lack of dynamic quality control: the quality of sand and gravel aggregate is affected by multiple links such as mining, processing, and transportation, and there are large batch differences. However, the existing mode lacks real-time quality monitoring and tracing means on the mobile terminal, and the procurement party discovers quality problems after receiving the goods, which has a long dispute handling period and high cost;

[0008] It is difficult to respond to individual needs: different projects (such as bridge construction and roadbed construction) have different requirements for sand and gravel aggregate gradation and particle size. The existing platforms mostly provide standardized product display and cannot quickly respond to individual customization needs, which requires additional offline communication and prolongs the transaction period.

[0009] Therefore, there is an urgent need for a sand and gravel aggregate transaction system that can deeply integrate industry characteristics and realize whole-process intelligent collaboration. SUMMARY

[0010] To solve the above prior art problems, the application provides an intelligent and convenient sand and gravel aggregate transaction system.

[0011] An intelligent and convenient sand and gravel aggregate transaction system adopts a layered architecture and comprises:

[0012] A user interaction layer is used for receiving user instructions and displaying information.

[0013] A cloud intelligent hub layer is in communication connection with the user interaction layer and is used for intelligent calculation, data collaboration and security control.

[0014] A full-link system interfacing layer is in communication connection with the cloud intelligent hub layer and is used for realizing data intercommunication with external business systems.

[0015] The cloud intelligent hub layer comprises:

[0016] An AI intelligent engine is used for demand prediction, intelligent order filling, logistics optimization and risk warning.

[0017] A blockchain traceability engine is used for storing quality data and transaction credentials of all links of transactions to ensure that data cannot be tampered with.

[0018] A data collaboration engine is used for building a standardized interface to realize automatic synchronization of data with external business systems.

[0019] A security protection engine is used for realizing data encryption, permission control and transaction anomaly monitoring.

[0020] A personalized customization engine is used for supporting users to customize sand and gravel parameters online and automatically matching supply solutions.

[0021] Further, the user interaction layer specifically comprises user authentication, demand customization, quality monitoring, order management, logistics tracking, financial settlement and after-sales rights protection function modules.

[0022] Further, the AI intelligent engine specifically comprises:

[0023] A demand prediction module is used for predicting sand and gravel consumption based on historical engineering data or current operation behavior of users.

[0024] An intelligent order filling module is used for extracting user profile information and pre-filling order form information.

[0025] A logistics optimization module is used for planning an optimal route for logistics transportation in combination with real-time traffic conditions.

[0026] A risk warning module is used for analyzing transaction data and quality data, identifying potential risks and issuing a warning.

[0027] Further, the full-link system interface layer is connected with the quality detection system, the engineering demand system, the stockyard management system, the logistics scheduling system, the financial settlement system and the third-party payment platform through RESTful API and Socket protocol.

[0028] Further, the workflow of the system includes user authentication and intelligent filing process, personalized demand customization and matching process, transaction operation and quality traceability process, logistics intelligent collaboration process, and financial settlement and security control process.

[0029] Further, the user authentication and intelligent filing process includes one-key login through mobile phone verification code or face recognition; automatic extraction of user uploaded certificate information through OCR identification technology, or intelligent synchronization of enterprise qualification from a third-party platform, to complete automatic filing and verification.

[0030] Further, the personalized demand customization and matching process includes: providing a visual interface for users to configure sandstone gradation, particle size, delivery cycle parameters, and providing intelligent recommendation; based on user demand, through the data collaboration engine and the AI intelligent engine, the optimal stockyard is intelligently matched and recommended for the user by comprehensively considering inventory, quality and cost factors.

[0031] Further, the transaction operation and quality traceability process includes: after order generation, key data is stored in real time to the blockchain traceability engine; quality data in the production and detection links are collected through Internet of Things devices and synchronized to the blockchain for real-time query and traceability by users on the mobile terminal.

[0032] Further, the logistics intelligent collaboration process includes: after order confirmation, the logistics scheduling task is automatically triggered, and the AI engine is used to match the optimal vehicle and route; real-time positioning tracking of the vehicle is provided, and abnormal monitoring rules are set to automatically alarm and generate a response plan for the abnormal conditions such as deviation from the route and delay.

[0033] Further, the financial settlement and security control process includes: supporting phased payment and fund custody, and releasing the payment according to the transaction progress node; after the goods are accepted, the settlement and electronic invoice issuing process are automatically triggered; abnormal transaction monitoring rules are set to intercept and verify abnormal behaviors such as large payment and remote login, and to provide automatic insurance compensation services for transactions.

[0034] The beneficial effects of the present application are: through the technical integration of AI, blockchain and Internet of Things and the full-process collaborative design, the present application eliminates information silos, ensures the full-process automation of transactions, realizes the whole-process traceability of quality, and reduces the transaction risk. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is the system architecture diagram of the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work belong to the scope of protection of the present application.

[0037] In the embodiment, as shown in the figure, Figure 1 An intelligent and convenient gravel aggregate transaction system adopts an innovative architecture of "user interaction layer (mobile APP application) + cloud intelligent hub + full-link system docking", integrates AI, blockchain and Internet of Things technology, and realizes intelligentization, collaboration and security of the whole process of gravel aggregate transaction. Specifically as follows:

[0038] (1) User interaction layer (mobile APP), used for receiving user instructions and displaying information; Flutter cross-platform development is adopted, supporting iOS and Android systems, containing seven core function modules of user authentication, demand customization, quality monitoring, order management, logistics tracking, financial settlement and after-sales rights protection, suitable for outdoor one-hand operation and weak network environment.

[0039] (2) Cloud intelligent hub layer, in communication connection with the user interaction layer, used for intelligent calculation, data collaboration and security control; including five core engines:

[0040] 1. AI intelligent engine, responsible for demand prediction (predicting gravel consumption based on engineering data), intelligent order filling (extracting historical data and engineering demand to prefill orders), logistics optimization (planning routes combined with real-time traffic), risk warning (identifying transaction and quality abnormalities);

[0041] 2. Blockchain traceability engine, used for storing quality data (mining, processing, detection, transportation) and transaction credentials in all links of transaction, ensuring that data cannot be tampered with and can be traced;

[0042] 3. Data collaboration engine, used for building standardized interfaces to realize automatic synchronization of data with external business systems (quality detection, engineering demand, yard management, logistics scheduling, financial settlement system, etc.);

[0043] 4. Security protection engine, using SSL / TLS + AES-256 encryption, permission hierarchical control, transaction anomaly monitoring to protect data and fund safety;

[0044] 5. Personalized customization engine, supporting online customization of gravel, particle size, delivery cycle and other parameters, automatically matching yards and production schemes that meet the requirements.

[0045] (III) The full-link system docking layer is in communication connection with the cloud intelligent hub layer, and is used for realizing data intercommunication with an external business system; and is connected with a quality detection system (real-time detection data is acquired), an engineering demand system (a construction engineering progress and sandstone demand are synchronized), a yard management system (real-time inventory and production progress), a logistics scheduling system (vehicle positioning and scheduling), a financial settlement system (payment and invoicing), and a third-party payment platform (funds custody) through RESTful API and Socket protocol, so that full-process automation and cooperation are realized.

[0046] In the embodiment, the system program flow takes "user operation-cloud intelligent response-full-link system cooperation" as the core logic, and is divided into a user authentication and intelligent filing flow, a personalized demand customization and matching flow, a transaction operation and quality traceability flow, a logistics intelligent cooperation flow, and a financial settlement and risk control flow in chronological order.

[0047] (I) User authentication and intelligent filing flow

[0048] One-key login: the user selects "mobile phone login" or "face login" on the APP login interface, if the mobile phone login is selected, the APP calls the short message interface to send a request to the cloud intelligent hub, the hub generates a 6-digit random verification code and sends it to the user's mobile phone through the short message gateway; after the user inputs the verification code, the APP transmits the account and the verification code to the hub after encryption, the hub generates a temporary login token after verification, returns to the APP and stores it in the local cache; if the face login is selected, the APP calls the mobile phone camera to collect the face image, performs live detection and feature extraction through the AI engine, and transmits it to the hub for comparison with the user's reserved face information, and the login is completed after the comparison is passed, and the login process takes ≤10 seconds.

[0049] Smart authentication and filing: after login, the APP automatically jumps to the authentication page. The authentication supports two modes, smart synchronization and manual upload. If smart synchronization is selected, the system can automatically pull enterprise information from a third-party authentication platform (such as Tianyancha). If manual upload is selected, the user uploads the business license, industry qualification certificate, and engineering requirement list (if any). The user clicks "take a photo and upload", the APP calls the camera to obtain the picture, and at the same time starts the OCR identification program to automatically extract the enterprise name, unified social credit code, engineering type, and commonly used sand and stone demand parameters from the certificate, and generates a pre-filled authentication form and enterprise demand file. After the user confirms that the information is correct, the APP will transmit the authentication data to the cloud intelligent hub. The hub verifies the authenticity of the qualification through the national enterprise credit information public system, and analyzes the engineering requirement list through the AI engine to generate the user's "personalized demand label" (such as "bridge engineering-C50 concrete sand and stone-particle size 10-20mm"). After verification, it returns an authentication success notice to the APP and opens the transaction permission, and synchronously stores the enterprise demand file into the blockchain traceability engine. The authentication process takes ≤5 minutes.

[0050] (ii) Personalized demand customization and matching process (procedure steps)

[0051] Demand customization: the user clicks "demand customization" on the APP homepage and enters the parameter configuration interface. The user can select the engineering type (bridge, roadbed, building, etc.), sand and stone type (granite, limestone, etc.), gradation requirement (such as "10-20mm crushed stone 30% + 5-10mm stone chips 50% + stone powder 20%"), particle size deviation range, delivery period, and quality standard (silt content ≤3%, crushing value ≤10%, etc.). The APP displays a parameter configuration diagram (such as a gradation ratio pie chart and particle size range label) in real time. The user can click "smart suggestion" to recommend the optimal parameter combination based on historical similar engineering demand and current market supply by the AI engine.

[0052] Smart matching: after the user confirms the demand, click "match the yard". The APP encapsulates the demand parameters as request parameters and sends them to the cloud intelligent hub. The hub calls the data collaboration engine to synchronously query the yard inventory (real-time inventory ≥ demand quantity), production capacity (can complete production within the delivery period), and quality detection data (historical batch detection reports meet the standard) in the yard management system. At the same time, the AI engine calculates the transportation cost and matching degree (the degree of fit between demand parameters and yard products) between the yard and the delivery address. The hub generates a yard recommendation list based on the priority of "matching degree ≥90%, transportation cost from low to high", including yard name, product picture, real-time inventory, quality detection report link, estimated transportation time and cost, and returns to the APP. The user can click to view the yard details, including historical transaction evaluation and quality traceability record, and support online consultation with the yard customer service. The demand matching process takes ≤3 minutes.

[0053] (III) Transaction operation and quality traceability process (procedure steps)

[0054] Smart filling and ordering: After the user selects the target yard, the APP automatically calls the AI engine of the cloud intelligent hub, extracts the commonly used delivery address, contact person, and payment method in the user's enterprise demand profile, combines the current sand and stone unit price and quantity required by the yard, generates a pre-filled order form (including order number, product information, amount, delivery time, and quality standard), the user can modify the form information, click "submit order" after confirming that there is no error, the APP will transmit the order data (including user ID, yard ID, demand parameters, and amount) to the hub; the hub generates a unique order number, synchronously stores the order information to the blockchain traceability engine, and pushes it to the yard management system and quality detection system through the data collaboration engine, the yard management system returns the "confirm order" notification, the quality detection system starts the "batch quality tracking" task, the hub returns the order details to the APP, and the APP displays the order details page, the ordering process takes ≤2 minutes;

[0055] Real-time quality traceability: After the order is confirmed, the user can view the sand and stone production and detection progress in real time in the APP "order details-quality traceability" module: the yard collects quality data through Internet of Things devices (such as particle size detector, silt content tester) in the mining and processing links, uploads it to the quality detection system in real time, and the system generates a detection report and synchronously stores it to the cloud blockchain traceability engine; the user clicks "view quality data", the APP obtains the corresponding batch of particle size pictures, detection data (silt content, crushing value, particle size distribution), detection personnel and equipment information from the blockchain engine, supports online download of the detection report; if the user has doubts about the quality, click "apply for re-inspection", the APP generates a re-inspection request and pushes it to the quality detection system, the system arranges third-party re-inspection and uploads the results to the chain, the quality traceability is traceable and tamper-proof throughout the process.

[0056] (IV) Intelligent logistics collaboration process (procedure steps)

[0057] Vehicle intelligent scheduling: after the order is generated and the yard confirms that the preparation is completed, the cloud intelligent hub automatically triggers the logistics coordination task. Through the data coordination engine, the order information (cargo type, quantity, weight, delivery address, quality requirement) is packaged into a standard format and synchronized to the logistics scheduling system. The logistics system calls the AI engine, combines the real-time location (GPS positioning data), carrying capacity (matches the sand and gravel bulk transportation demand), and route congestion (interfaces with the real-time traffic of Gaode Map), matches the optimal transportation vehicle, and generates a scheduling scheme (including license plate number, driver name, contact information, estimated loading time, and estimated arrival time). The scheduling scheme is returned to the hub, which pushes the vehicle information to the APP and the yard management system. The APP displays the scheduling result in the "order details-logistics tracking" module and prompts the user that "a vehicle has been arranged and the position can be tracked in real time";

[0058] Real-time positioning and abnormal warning: the user clicks "view location" on the APP logistics tracking page, the APP sends a positioning query request to the cloud hub, the hub calls the GPS interface of the logistics system to obtain the real-time latitude and longitude data of the vehicle, converts the latitude and longitude into map coordinates and returns them to the APP, the APP calls the map SDK to mark the vehicle's location on the interface and synchronously displays the estimated arrival time. At the same time, the hub sets up logistics abnormal monitoring rules (such as vehicle deviation from planned route ≥5km, delay more than 30 minutes, vehicle stay more than 1 hour), and analyzes vehicle trajectory data in real time. When an abnormality is detected, the hub automatically triggers the warning mechanism and pushes a risk prompt (such as "vehicle deviates from the route, current location XX, suggest adjusting the route") to the APP, driver terminal, and logistics system, and the logistics system synchronously generates an alternative scheme (such as deploying a standby vehicle) to ensure transportation timeliness. The positioning update frequency is once every 2 minutes until the goods are delivered.

[0059] (Five) Financial settlement and safety control process (procedure steps)

[0060] Staged payment and fund escrow: the user clicks "go to payment" on the order details page, the APP displays the payment method selection interface (public transfer, third-party payment) and the staged payment scheme (30% prepayment, 60% after delivery and acceptance, and 10% at the end of the warranty period); after the user selects the payment method and scheme, the APP transmits the order number, payment amount, and payment stage to the cloud hub, which calls the third-party payment platform interface to generate a payment order and a fund escrow account (prepayment is deposited in the escrow account and not paid to the yard); the hub returns the payment link to the APP, which automatically jumps to the payment platform interface. After the user completes the payment operation, the payment platform returns a payment success voucher (including transaction serial number and payment time) to the hub. The hub synchronizes the payment data to the financial settlement system and the blockchain traceability engine, the financial system generates a prepayment receipt, and the blockchain engine stores the payment voucher, realizing traceability of fund flow;

[0061] Settlement and billing automation: after the goods are delivered, the user clicks "confirm receipt" on the APP and completes quality acceptance (photos and data can be uploaded), the APP transmits the acceptance result to the cloud hub; after the hub confirms that the acceptance is qualified, it sends a "release of funds" instruction to the financial settlement system through the data collaboration engine, and the financial system releases 60% of the funds to the yard account according to the phased plan, and generates a settlement sheet; the hub interfaces with the tax system, automatically calculates the tax amount based on the order amount and tax rate, generates electronic invoice data, and returns the electronic invoice to the hub after the tax system issues it. The hub pushes the invoice link to the APP; the user can download the electronic invoice by clicking "view invoice" and complete the settlement; after the warranty period ends, the hub automatically triggers the remaining 10% of the release process, and synchronously updates the order status to "transaction completed";

[0062] Transaction exception warning and risk hedging: the cloud hub analyzes transaction data in real time and sets up exception monitoring rules (such as single payment amount exceeding 500,000 yuan, same account login in different places, and quality acceptance unqualified rate exceeding 5%); when abnormal behavior is detected (such as a certain account usually pays no more than 10,000 yuan at a time, suddenly initiates a 100,000 yuan payment), the hub automatically freezes the transaction operation and pushes a risk prompt notice to the APP (such as "detecting large abnormal payment, need to complete identity verification"); the user needs to complete identity verification through face recognition or SMS verification, and the hub will release the transaction freeze after verification; at the same time, the hub interfaces with the insurance system, automatically insures "quality insurance" and "transportation delay insurance" for each transaction, and if the user suffers losses due to quality problems or transportation delays, the insurance system will automatically calculate the amount of compensation based on the transaction and traceability data on the blockchain, and complete the payment, reducing the user's risk.

[0063] Compared with the traditional offline transaction mode, the present scheme is intelligent in the whole process, solving the deep pain points of the industry.

[0064] The core pain points of the existing traditional mode are "linkage fragmentation, more manual intervention, and high quality risk", from demand docking (offline yard running), order generation (manual filling), quality control (inspection after receiving goods), logistics tracking (telephone inquiry) to settlement and billing (offline application), each link needs to be communicated separately. It takes an average of 2-3 days to complete a transaction, and the quality dispute rate is more than 15%.

[0065] The present application realizes four breakthroughs through the technical integration of "AI + blockchain + Internet of Things" and the whole process collaboration design:

[0066] Demand response efficiency is improved by 300%: The technical solution of "personalized demand customization and matching process" designs an automatic link of "parameter configuration-AI recommendation-smart matching" (APP initiates customized demand→cloud calls stockyard and engineering data→real-time returns matching stockyard), users do not need to run stockyards offline, and can complete personalized demand customization and multi-stockyard comparison within 10 minutes. Compared with the traditional "telephone consultation + offline negotiation" mode, the demand response cycle is shortened from 2 days to 10 minutes, and the matching result contains quality traceability records, and the decision basis is more sufficient.

[0067] Quality dispute rate is reduced by 90%: The "blockchain quality traceability" design of "transaction operation and quality traceability process" in the technical solution (all mining, processing and detection data are chained), which replaces the traditional passive mode of "inspection after receiving goods", users can view sandstone quality data in real time after placing an order, and can apply for re-inspection before receiving goods. Quality problems are discovered and solved in advance, and the quality dispute rate is reduced from 15% to 1.5% or less, and the dispute handling cycle is shortened from 7 days to 24 hours (based on on-chain data to automatically determine responsibility).

[0068] Logistics efficiency is improved by 80%: The "AI scheduling + real-time warning" design of "logistics intelligent collaborative process" in the technical solution (cloud synchronization of orders to logistics system→AI matching of vehicles→real-time tracking + abnormal warning), which replaces the traditional inefficient mode of "manual vehicle search + telephone tracking", the vehicle matching time is shortened from 2 hours to 10 minutes, the transportation abnormal response time is shortened from 1 hour to 5 minutes, and the on-time delivery rate of goods is improved from 70% to 98% or more.

[0069] The fund risk is reduced by 95%: The "staged payment + fund custody + insurance hedging" design of "financial settlement and risk control process" in the technical solution solves the fund risk of traditional "full payment in advance" or "cash on delivery" - prepayment is stored in a custodian account, and is released after acceptance, combined with quality and transportation insurance, the user's fund loss risk is reduced from 8% to 0.4% or less, and electronic invoices are automatically generated, and the settlement and invoice period is shortened from 3-5 days to 10 minutes.

[0070] (2) Compared with simple online platform: full-link collaboration, breaking "information island" and technical bottleneck

[0071] The current industry part of the simple online platform only realizes the function of "order release", cannot be connected with quality detection, engineering demand and other systems, and has no innovative technology empowerment, resulting in a semi-automatic state of "online ordering and offline collaboration", which cannot solve the deep problems of quality control and personalized demand response. Through the architecture design of "cloud intelligent hub + full-link system docking" and the integration of innovative technologies, the invention realizes three major breakthroughs:

[0072] Real-time quality data intercommunication, eliminating "quality fraud": the real-time synchronization design of "cloud server-quality detection system interface" in the technical solution (mining-processing detection data real-time chain) avoids the problem of "simple platform quality data manual input, easy to fake" - the quality data viewed by users on the APP end comes directly from the Internet of Things detection equipment and the blockchain, which cannot be tampered with and is traceable, ensuring the authenticity of the quality and improving the trust of the purchasing party in the quality by 80%;

[0073] Automatic matching of personalized needs without offline communication: the "parameter configuration-AI matching" design of the "personalized demand customization engine" in the technical solution solves the defect of the simple platform "only supporting standardized products, no customization function" - after the user customizes the sand gradation, particle size, etc. online, the system automatically matches the material yard and production scheme that meet the requirements without additional offline communication, and the response cycle of personalized needs is shortened from 3 days to 3 minutes, meeting the differentiated needs of different projects;

[0074] Full-process data automatic flow, no manual intervention: the "data collaboration engine" in the technical solution has a "order-quality-logistics-finance" full-link synchronous design, replacing the simple platform "data needs manual cross-system input" mode - after the order is generated, it is automatically synchronized to the logistics system to trigger scheduling, the quality data is automatically synchronized to the APP for viewing, and the payment data is automatically synchronized to the financial system to complete the settlement, reducing manual operation by 90%, the data error rate from 5% to 0, and the transaction efficiency of the whole process is improved by 200%.

[0075] (Three) Compared with similar transaction APPs: innovative technology empowerment, building industry technology barriers

[0076] Existing similar transaction APPs have the problem of "technical homogeneity, single function, no core innovation", and most of them stay at the basic line transaction level, without introducing AI, blockchain and other technologies combined with the characteristics of the sand and stone industry, and cannot solve the pain points of quality traceability, intelligent scheduling, risk hedging, etc.

[0077] In the description of the embodiments of the present application, the term "and / or" herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist together, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.

[0078] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to these embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent and convenient sand and gravel aggregate trading system, characterized in that, The system adopts a layered architecture, comprising: a user interaction layer for receiving user instructions and displaying information; a cloud intelligent hub layer in communication with the user interaction layer for intelligent computing, data collaboration and security control; a full-link system interface layer in communication with the cloud intelligent hub layer for data interconnection with external business systems; the cloud intelligent hub layer comprises: an AI intelligent engine for demand prediction, intelligent order filling, logistics optimization and risk warning; a blockchain traceability engine for storing transaction quality data and transaction credentials throughout the entire link to ensure data tamper-proofing; a data collaboration engine for building standardized interfaces to achieve automatic synchronization of data with external business systems; a security protection engine for data encryption, permission control and transaction anomaly monitoring; a personalized customization engine for supporting user online customization of sand and gravel parameters and automatic matching of supply solutions.

2. The intelligent and convenient gravel aggregate transaction system according to claim 1, characterized in that, The user interaction layer specifically includes user authentication, demand customization, quality monitoring, order management, logistics tracking, financial settlement and after-sales rights protection function modules.

3. The intelligent and convenient gravel aggregate transaction system according to claim 1, characterized in that, The AI intelligent engine specifically comprises: a demand prediction module that predicts sand and gravel usage based on user historical engineering data or current operation behavior; an intelligent order filling module that extracts user profile information and pre-fills order form information; a logistics optimization module that plans the optimal route for logistics transportation based on real-time traffic conditions; a risk warning module that analyzes transaction data and quality data to identify potential risks and issue warnings.

4. The intelligent and convenient gravel aggregate transaction system according to claim 1, characterized in that, The full-link system interface layer interfaces with quality detection systems, engineering demand systems, yard management systems, logistics scheduling systems, financial settlement systems and third-party payment platforms through RESTful API and Socket protocols.

5. The intelligent and convenient gravel aggregate transaction system according to any one of claims 1-4, characterized in that, The system's workflow includes user authentication and intelligent filing process, personalized demand customization and matching process, transaction operation and quality traceability process, logistics intelligent collaboration process, and financial settlement and security control process.

6. The intelligent and convenient gravel aggregate transaction system according to claim 5, characterized in that, The user authentication and intelligent filing process includes one-key login through mobile phone verification code or facial recognition; automatically extracting user uploaded certificate information through OCR recognition technology, or intelligently synchronizing enterprise qualifications from third-party platforms to complete automatic filing and verification.

7. The intelligent and convenient gravel aggregate transaction system according to claim 5, characterized in that, The personalized demand customization and matching process includes providing a visual interface for users to configure sand and gravel grading, particle size, and delivery cycle parameters, and providing intelligent recommendations; based on user demand, the data collaboration engine and AI intelligent engine are used to comprehensively consider inventory, quality, and cost factors to intelligently match and recommend the best yard for the user.

8. The intelligent and convenient gravel aggregate transaction system according to claim 5, characterized in that, The transaction operation and quality traceability process includes real-time storage of key data to the blockchain traceability engine after order generation; quality data at the production and detection stages are collected through Internet of Things devices and synchronized to the blockchain for real-time inquiry and traceability by users on mobile devices.

9. The intelligent and convenient gravel aggregate transaction system according to claim 5, characterized in that, The logistics intelligent collaboration process includes automatically triggering logistics scheduling tasks after order confirmation, with the AI engine matching the optimal vehicle and route; real-time positioning and tracking of vehicles are provided, with abnormal monitoring rules to automatically warn and generate solutions for off-route and delayed abnormal situations.

10. The intelligent and convenient gravel aggregate transaction system according to claim 5, characterized in that, The financial settlement and security control process includes: supporting phased payment and fund escrow, releasing funds according to the transaction progress node; after the goods are accepted, the settlement and electronic invoice issuing process are automatically triggered; there are transaction abnormality monitoring rules to intercept and verify large payment, abnormal behavior of logging in from other places, and provide automatic insurance compensation services for transactions.

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