Intelligent network proxy access system

Abstract

The invention discloses an intelligent network proxy access system, which comprises a proxy resource layer used for constructing various types of proxy IP pools, storing IP resources in the corresponding proxy IP pools in a classified manner, and performing quality rating processing on the IP resources at the same time; the intelligent scheduling layer is used for synchronizing tasks with an intelligent marketing multi-dimensional model operation platform and a global data acquisition and analysis system in real time and realizing task linkage scheduling; the compliance control layer is used for simulating and avoiding platform rule risks according to the multi-platform agent compliance library in combination with human behaviors; the adaptive docking layer is used for providing a multi-type standardized interface to be docked with the intelligent marketing multi-dimensional model operation platform and the global data acquisition and analysis system; and the monitoring operation and maintenance layer is used for providing a multi-dimensional monitoring board and intelligent alarm and supporting full-link operation and maintenance management. The method has the advantages of high adaptability, high stability, high concurrent support, high compliance, service value increment and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent network agent and marketing data collection, and particularly relates to an intelligent network agent access system. BACKGROUND

[0002] The intelligent marketing multi-dimensional model operation platform needs to rely on a global data collection and analysis system to obtain cross-platform, multi-modal and full-territory marketing data, and the core bottleneck of this process is the network agent support capability: the global data collection needs to cover 20+ platforms at home (TikTok, Gaode map, Taobao) and abroad (FB, TK, Google map), and needs to meet the collection requirements of "high concurrency, low delay and regional accuracy"; the intelligent marketing platform requires the linkage of agent service, collection task and analysis result to ensure the continuity and effectiveness of data collection. However, the existing network agent system has the following core pain points that cannot adapt to the needs of the two systems:

[0003] 1. Lack of multi-platform IP adaptability: the existing agent is mostly a single type of IP pool, such as only data center IP, which cannot match the IP preferences of different platforms, such as FB / TK requiring real residential IP to avoid ban, and TikTok / Gaode map requiring domestic data center IP to ensure collection rate, resulting in large differences in cross-platform collection success rate (overseas platform <60%, domestic platform <80%), which cannot support the multi-platform coverage needs of global data collection;

[0004] 2. Insufficient regional matching accuracy: the regional matching of the existing system can only be positioned to the "country / province" level, such as "US IP" and "Guangdong IP", which cannot meet the accurate needs of global data collection at the "city / district" level (such as collecting data on "Shenzhen Nanshan cross-border e-commerce enterprises", allocating IP from other cities in Guangdong, resulting in a POI data deviation of >50 kilometers), and the regional matching accuracy is <75%, which directly affects the accuracy of customer profiling of the intelligent marketing platform;

[0005] 3. Weak concurrent support capability: global data collection needs to start the concurrent operation of 10+ platforms and 1000+ collection tasks, and the existing agent uses single-node fixed IP allocation, with a single-node concurrent upper limit of only 200 tasks, and the collection rate is reduced to 150 per minute, which cannot support the scale needs of the two systems "collecting millions of data per day";

[0006] 4. Low adaptability to the previous two systems: the existing agent only provides the basic function of "IP forwarding", cannot be linked with the "data source type" and "collection priority" of the global data collection system, and cannot feedback the "agent state-collection effect" related data to the intelligent marketing platform, which needs manual configuration of agent parameters, resulting in the formation of "data silos" between the two systems and agent service;

[0007] 5. Compliance and lack of fault self-healing ability: lack of "platform dynamic rule adaptation" (such as not updating the IP usage threshold of TK in real time), easy to trigger platform compliance risk; IP is blocked and needs manual intervention, fault recovery time is more than 1 hour, which causes interruption of global data collection and affects the timeliness of customer matching of the intelligent marketing platform.

[0008] In summary, the existing network proxy system has not yet built an integrated architecture of "adapting to the first two system requirements-precise matching of multi-platform region-high concurrency-compliance self-healing", which has become the core network bottleneck restricting the efficiency of "global data collection-intelligent marketing" full-link.

[0009] Therefore, the applicant has found a method to solve the above problems through beneficial exploration and research, and the technical scheme to be introduced below was born in this background. SUMMARY

[0010] The technical problem to be solved by the present application is to provide an intelligent network proxy access system to solve the problems of poor multi-platform adaptation, low regional precision, insufficient concurrency, and weak adaptability, and to provide end-to-end network proxy support for intelligent marketing multi-dimensional model operation platform and global data collection and analysis system, and to ensure the continuity and high quality of global data collection and the precise customer matching ability of the intelligent marketing platform.

[0011] The technical problem to be solved by the present application can be implemented by using the following technical scheme:

[0012] An intelligent network proxy access system comprises:

[0013] A proxy resource layer is used to build various proxy IP pools and store the collected IP resources into the corresponding proxy IP pools, and the collected IP resources are subjected to quality rating processing;

[0014] An intelligent scheduling layer is used to synchronize tasks with the intelligent marketing multi-dimensional model operation platform and the global data collection and analysis system in real time, and realize task linkage scheduling;

[0015] A compliance control layer is used to avoid platform rule risks according to the multi-platform proxy compliance library and combined with human behavior simulation;

[0016] An adaptation docking layer is used to provide multi-type standardized interfaces for docking with the intelligent marketing multi-dimensional model operation platform and the global data collection and analysis system; and

[0017] The monitoring operation and maintenance layer is configured to provide multi-dimensional monitoring dashboards and intelligent alarms, and support full-link operation and maintenance management.

[0018] In a preferred embodiment of the present application, the agent resource layer comprises:

[0019] An IP resource pool construction module is configured to construct various agent IP pools, and store the collected IP resources into corresponding agent IP pools according to classification;

[0020] An IP quality dynamic rating mechanism module is configured to rate the quality of the collected IP resources according to rating indexes; and

[0021] An IP pool elastic expansion module is configured to expand the various agent IP pools at regular intervals or on demand.

[0022] In a preferred embodiment of the present application, the agent IP pool comprises a residential agent IP pool, a data center agent IP pool and a mobile agent IP pool.

[0023] In a preferred embodiment of the present application, the intelligent scheduling layer comprises:

[0024] A task and agent bidirectional linkage module is configured to synchronize task parameters with the intelligent marketing multi-dimensional model operation platform and the global data collection and analysis system in real time, so as to accurately match the collection demand and the agent resources;

[0025] A high-concurrency load scheduling module is configured to provide distributed scheduling for the collection tasks of the intelligent marketing multi-dimensional model operation platform and the global data collection and analysis system based on the Kubernetes containerization architecture; and

[0026] A fault self-healing mechanism module is configured to detect fault problems, and timely recover the system operation according to the fault detection results.

[0027] In a preferred embodiment of the present application, the task and agent bidirectional linkage module comprises:

[0028] A task parameter receiving unit is configured to obtain the collection task information of the intelligent marketing multi-dimensional model operation platform and the global data collection and analysis system through an interface;

[0029] A platform type adaptation unit is configured to distribute IP types according to an IP type mapping library;

[0030] A precise geographic matching unit, used to allocate IP addresses within the same geographic region via an IP geolocation API, based on the geographic granularity requirements of the full-domain data collection; and

[0031] A priority resource allocation unit is used to allocate different levels of IP resources based on the urgency of the tasks performed by the intelligent marketing multidimensional model computing platform.

[0032] In a preferred embodiment of the present invention, the high-concurrency load scheduling module includes:

[0033] A task isolation unit, which is used to allocate an independent proxy container for each acquisition task;

[0034] A load balancing unit, which monitors container CPU utilization and IP usage in real time and automatically scales up container nodes based on load conditions; and

[0035] A rate adaptive control unit is used to dynamically adjust the acquisition rate according to the anti-crawling rules of the target platform.

[0036] In a preferred embodiment of the present invention, the fault self-healing mechanism module includes:

[0037] A real-time blocking detection unit is used to monitor and collect response codes and page features in real time, and to identify IP blocking based on the monitoring results;

[0038] An automatic IP switching unit is configured to automatically match a backup IP address based on the IP blocking identification result; and

[0039] The fault tracing and optimization unit is used to record the usage logs of blocked IPs, analyze the reasons for the blocking, and synchronize the analysis results to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system.

[0040] In a preferred embodiment of the present invention, the compliance control layer includes:

[0041] The platform rule dynamic adaptation module is used to build a multi-platform proxy compliance library, update IP usage specifications in real time and automatically verify proxy parameters before the collection task starts, and connect to the crawler behavior module of the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system.

[0042] The human behavior simulation module is used to bind dynamic behavioral characteristics to proxy IPs, simulate real user operations, and reduce the risk of platform identification.

[0043] The compliance log retention module records the usage time, associated collection task ID, access content, and behavioral parameters of each IP address, and synchronizes the recording results to the compliance audit module of the intelligent marketing multidimensional model computing platform and the full-domain data collection and analysis system.

[0044] In a preferred embodiment of the present invention, the human behavior simulation module includes:

[0045] An access rhythm simulation unit is used to insert random intervals to avoid continuous access.

[0046] A device fingerprint dynamic generation unit, wherein the device fingerprint dynamic generation unit is used to generate different device fingerprints for each IP in real time; and

[0047] An interactive behavior insertion unit is used to randomly execute specified operations during the data collection process to adapt to the behavior detection mechanism of the social platform.

[0048] In a preferred embodiment of the present invention, the adapter mating layer includes:

[0049] A standardized interface module is provided to offer multiple types of standardized interfaces, enabling end-to-end integration with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system; and

[0050] A custom configuration module is used to customize configurations for different data collection scenarios according to user requirements.

[0051] In a preferred embodiment of the present invention, the multi-type standardized interfaces include a task allocation interface, a proxy allocation interface, a status feedback interface, and a log synchronization interface.

[0052] In a preferred embodiment of the present invention, the user requirements acceptable to the self-location configuration module include agent type preference, geographic coverage, and rate threshold.

[0053] In a preferred embodiment of the present invention, the monitoring and maintenance layer includes:

[0054] The multi-dimensional monitoring dashboard module is used to display core indicators related to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system in real time, allowing operation and maintenance personnel and business personnel to grasp the status in real time.

[0055] The intelligent alarm module is used to alert maintenance personnel when abnormal situations occur; and

[0056] The data cockpit module is used to automatically analyze agent usage data, generate corresponding reports, and synchronize them to the effect analysis module of the intelligent marketing multi-dimensional model computing platform.

[0057] In a preferred embodiment of the present invention, the core indicators displayed by the multi-dimensional monitoring dashboard module include agent resource indicators, data collection and linkage indicators, fault indicators, and business support indicators.

[0058] Due to the adoption of the above technical solution, the beneficial effects of the present invention are as follows:

[0059] 1. High adaptability: It achieves "seamless integration" with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system, with a platform type adaptation accuracy of 100% and a regional matching accuracy of ≥99.5%, fully covering the multi-platform and multi-regional data collection needs of the two systems;

[0060] 2. High stability: IP blocking rate reduced to below 2.5% (traditional systems >35%), fault recovery time ≤3 seconds, supporting continuous operation rate of full-domain data collection tasks ≥99.8%, ensuring the integrity of marketing data;

[0061] 3. High concurrency support: A single system can handle ≥3000 data collection tasks concurrently, with a single task collection rate of ≥1200 data entries / minute, meeting the scale requirement of "10 million data entries per day" for full-domain data collection;

[0062] 4. High compliance: Full-chain adaptation to multi-platform rules, behavior simulation and compliance log retention meet enterprise compliance needs, and the compliance verification pass rate is 100%;

[0063] 5. Business Value-Added: Through high-quality agent support, we help increase the "effective data volume ratio by 28%" in full-domain data collection and the "customer matching accuracy rate by 12%" in the intelligent marketing platform, forming a value loop of "agent-collection-marketing". Attached Figure Description

[0064] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0065] Figure 1 This is a collaborative architecture diagram of the intelligent network proxy access system of the present invention.

[0066] Figure 2 This is a schematic diagram of IP pool resource management in the proxy resource layer of the present invention.

[0067] Figure 3 This is a flowchart of the task and agent bidirectional linkage module of the present invention. Detailed Implementation

[0068] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to specific illustrations.

[0069] See Figure 1 The diagram shows an intelligent network proxy access system, which includes a proxy resource layer 100, an intelligent scheduling layer 200, a compliance control layer 300, an adaptation and connection layer 400, and a monitoring and maintenance layer 500.

[0070] The proxy resource layer 100 is used to build various proxy IP pools and classify and store the collected IP resources into the corresponding proxy IP pools. At the same time, it performs quality rating processing on the collected IP resources. Specifically, the proxy resource layer 100 includes an IP resource pool construction module 110, an IP quality dynamic rating mechanism module 120, and an IP pool elastic expansion module 130.

[0071] The IP resource pool construction module 110 is used to build various proxy IP pools and classify and store the collected IP resources into the corresponding proxy IP pools. See also Figure 2 and combined Figure 1 Various proxy IP pools include residential proxy IP pools, data center proxy IP pools, and mobile proxy IP pools, specifically:

[0072] Residential Proxy IP Pool: Connects to a global residential network (such as family IPs in the United States, Europe, and Southeast Asia). The IPs belong to real users, offering the highest level of anonymity (the platform recognizes them as "human users" with a probability of ≥98%). It is compatible with overseas social media / map platforms (FB, TK, Google Maps), solving the problem of high overseas data collection and blocking rates.

[0073] Data center proxy IP pool: Deployed in domestic Alibaba Cloud / Tencent Cloud and overseas AWS / Azure distributed data centers, with IP stability ≥99% and bandwidth ≥200Mbps, adapted to domestic platforms (Douyin, Gaode Map, Taobao) and high-concurrency collection scenarios, supporting the high-speed requirements of full-domain data collection;

[0074] Mobile Proxy IP Pool: Connects to global operators' (China Mobile, Verizon) 4G / 5G networks, supports "dynamic base station switching", adapts to mobile data collection (such as TK mobile APP data, WeChat official account mobile behavior data), and supplements the "mobile data source" for full-domain data collection.

[0075] The IP resource pool construction module 110 integrates three types of IP resources, covering more than 220 countries / regions worldwide, 34 provincial-level administrative regions and more than 300 prefecture-level cities in China, to meet the full-domain collection needs of the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system.

[0076] The IP quality dynamic rating mechanism module 120 is used to rate the quality of collected IP resources based on rating indicators. Specifically, the IP quality dynamic rating mechanism module 120 can design a 6-dimensional rating indicator (1-10 points, ≥8 points for "high-availability IP") according to data collection requirements to ensure that IP quality matches the collection accuracy requirements. The specific rating indicators are shown in the table below:

[0077]

[0078] The IP pool elastic expansion module 130 is used to periodically expand various proxy IP pools or expand them on demand. Specifically:

[0079] Scheduled expansion: Every 30 minutes, new IPs are added from IP providers (BrightData, Luminati) to supplement resources;

[0080] On-demand expansion: When the remaining number of IPs for a certain "platform-region" is less than 50 (such as "USA California-FB residential IPs"), ≥300 IPs of the same type will be added within 10 minutes; when the volume of data collection tasks across the entire domain suddenly increases (>2000), the proxy nodes will be automatically expanded, and the total capacity of the IP pool can be dynamically expanded to 100,000+.

[0081] The intelligent scheduling layer 200 is used to synchronize tasks in real time with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system to achieve task linkage scheduling. Specifically, the intelligent scheduling layer 200 includes a task and agent bidirectional linkage module 210, a high-concurrency load scheduling module 220, and a fault self-healing mechanism module 230.

[0082] The task-agent two-way linkage module 210 is used to synchronize task parameters in real time with the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system, enabling precise matching between collection needs and agent resources. The task-agent two-way linkage module 210 includes a task parameter receiving unit, a platform type adaptation unit, a region precise matching unit, and a priority resource allocation unit.

[0083] The task parameter interface unit is used to obtain the collection task information of the intelligent marketing multidimensional model calculation platform and the full-domain data collection and analysis system through the interface (such as "target platform: FB; region: New York, USA; data type: user interaction data; priority: high" for full-domain data collection).

[0084] The platform type adaptation unit is used to assign IP types (such as FB → residential IP, TikTok → data center IP, TK mobile → mobile IP) based on the IP type mapping library (such as the IP preferences of 20+ preset platforms), with an adaptation accuracy of 100%.

[0085] The precise regional matching unit is used to combine the regional granularity requirements of full-domain data collection (such as "Manhattan District, New York") and allocate IPs in the same region through IP geolocation API (such as error ≤ 50 km), with a regional matching accuracy of ≥ 99.5%.

[0086] The priority resource allocation unit is used to use different levels of IP resources based on the urgency of the tasks on the intelligent marketing multidimensional model computing platform (e.g., "real-time customer matching task" has a higher priority than "offline data storage task"). For example, high-priority tasks will use high-availability IPs (≥9 points) to ensure that core data collection needs are met first.

[0087] The high-concurrency load scheduling module 220 is used to provide distributed scheduling for data collection tasks of the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system based on the Kubernetes containerized architecture. The high-concurrency load scheduling module 220 includes a task isolation unit, a load balancing unit, and a rate adaptive control unit.

[0088] The task isolation unit is used to allocate an independent proxy container for each data collection task (such as "FB data collection task" or "TikTok data collection task") to avoid IP resource contention between tasks.

[0089] The load balancing unit is used to monitor container CPU utilization (threshold 80%) and IP usage in real time. When the load exceeds the threshold, it automatically expands the container nodes and supports a single system to handle ≥3000 collection tasks concurrently.

[0090] The rate adaptive control unit is used to dynamically adjust the collection rate according to the anti-crawling rules of the target platform (such as ≤60 records / minute for Facebook single IP collection, ≤200 records / minute for Douyin single IP collection), to avoid IP high-frequency access triggering blocking, while ensuring the goal of "10 million records per day" for the entire domain data collection.

[0091] The fault self-healing mechanism module 230 is used to detect faults and restore system operation in a timely manner based on the fault detection results. The fault self-healing mechanism module 230 includes a real-time blocking detection unit, an automatic IP switching unit, and a fault tracing and optimization unit.

[0092] The real-time blocking detection unit is used to monitor and collect response codes (such as 403 and 429) and page features (such as CAPTCHA pop-ups) in real time, and to identify IP blocking based on the monitoring results, achieving IP blocking identification within 1 second.

[0093] The automatic IP switching unit is used to automatically match a backup IP based on the IP blocking identification result. For example, when a blocked IP is marked as "invalid", it automatically matches a backup IP (≥8 points) with the same "type-region-quality" and the switching time is ≤3 seconds.

[0094] The fault tracing and optimization unit is used to record the usage logs of blocked IPs (access platform, rate, behavior), analyze the reasons for blocking (such as excessive rate), and synchronize the analysis results to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system to optimize subsequent collection strategies (such as reducing the collection rate on the same platform).

[0095] See Figure 3 and combined Figure 1 The matching process of the intelligent scheduling layer 200 is as follows:

[0096] 1. Obtain the collection task parameters of the intelligent marketing multidimensional model calculation platform and the full-domain data collection and analysis system through the interface, and parse the obtained collection task parameters to obtain task attributes;

[0097] 2. Based on the IP type mapping library, match the IP type according to the platform type, match the geographic precision according to the collection area, and allocate resource levels according to task priority;

[0098] 3. Select IPs based on their quality ratings and distribute them in a load-balanced manner, using containerized task isolation.

[0099] 4. Monitor IP anomalies in real time; switch to a backup IP when an IP anomaly occurs; and dynamically limit the rate when the speed exceeds the limit.

[0100] 5. Update the latest status to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system to complete the data collection support.

[0101] The compliance control layer 300 is used to mitigate platform rule risks by combining a multi-platform agent compliance library with human behavior simulation. Specifically, the compliance control layer 300 includes a platform rule dynamic adaptation module 310, a human behavior simulation module 320, and a compliance log retention module 330.

[0102] The platform rules dynamic adaptation module 310 is used to build a multi-platform proxy compliance library and update IP usage specifications in real time for 20+ mainstream platforms (such as FB "single IP accessing ≤15 accounts per day", TikTok "single IP sliding verification frequency ≤3 times / hour", Google Maps "single IP POI query ≤100 times / hour"). It also automatically verifies proxy parameters (such as IP type and speed) before the collection task starts to avoid compliance risks. At the same time, it connects to the crawler behavior module of the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system to synchronize the crawler operation frequency and interaction behavior to ensure dual compliance of "proxy IP + crawler behavior".

[0103] The human behavior simulation module 320 is used to bind dynamic behavioral characteristics to the proxy IP, simulating real user operations and reducing the risk of platform identification. The human behavior simulation module 320 includes an access rhythm simulation unit, a device fingerprint dynamic generation unit, and an interaction behavior insertion unit.

[0104] The access rhythm simulation unit is used to insert random intervals (2-6 seconds / time) to avoid continuous access.

[0105] The device fingerprint dynamic generation unit is used to generate different device fingerprints (browser UA, screen resolution, cookie) for each IP in real time, to avoid "same IP + fixed fingerprint" being marked.

[0106] The interactive behavior insertion unit is used to randomly execute specified operations such as "page scrolling", "clicking on a blank area", and "staying for 3-5 seconds" during the data collection process to adapt to the behavior detection mechanisms of social platforms such as Facebook and TK.

[0107] The compliance log retention module 330 records the usage time of each IP, the associated collection task ID, the access content, and the behavioral parameters. The logs are retained for ≥12 months, and the recorded results are synchronized to the compliance audit module of the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system to meet the enterprise's data collection compliance verification needs.

[0108] The adapter interface layer 400 is used to provide standardized interfaces for various types of communication with intelligent marketing multi-dimensional model computing platforms and full-domain data collection and analysis systems. Specifically, the adapter interface layer 400 includes a standardized interface module 410 and a custom configuration module 420.

[0109] The standardized interface module 410 provides multiple types of standardized interfaces to achieve end-to-end integration with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system. These standardized interfaces include task allocation interfaces, agent allocation interfaces, status feedback interfaces, and log synchronization interfaces.

[0110]

[0111] The custom configuration module 420 is used to customize configurations for different data acquisition scenarios according to user requirements. Acceptable user requirements for the custom configuration module 420 include the following aspects:

[0112] Agent type preference (e.g., "prioritize using residential IPs for cross-border e-commerce data collection");

[0113] Geographic coverage (e.g., "Only enable IPs from East China, China");

[0114] Rate threshold (e.g., "reduce TK collection rate to 50 records / minute"); configuration takes effect in real time, adapting to the "multi-scenario marketing needs" of the intelligent marketing platform (e.g., domestic industrial product marketing, overseas brand going global).

[0115] The monitoring and maintenance layer 500 provides multi-dimensional monitoring dashboards and intelligent alarms to support end-to-end operation and maintenance management. Specifically, the monitoring and maintenance layer 500 includes a multi-dimensional monitoring dashboard module 510, an intelligent alarm module 520, and a data dashboard module 530.

[0116] The multi-dimensional monitoring dashboard module 510 is used to display core indicators related to the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system in real time, allowing operation and maintenance personnel and business personnel to monitor the status in real time. The core indicators displayed by the multi-dimensional monitoring dashboard module 510 include the following aspects:

[0117] Proxy resource metrics: IP availability for each type, percentage of highly available IPs, and geographic coverage completion rate;

[0118] Data collection linkage metrics: number of currently connected data collection tasks (statistics by platform), task matching success rate, and data collection rate;

[0119] Fault indicators: IP blocking rate, fault recovery time, number of compliance risk warnings;

[0120] Business support metrics: "Percentage of effective data volume" supporting full-domain data collection, and "Average improvement in customer matching accuracy" supporting the intelligent marketing platform.

[0121] The Intelligent Alarm Module 520 is used to alert operations and maintenance personnel when abnormal situations occur. For example, when situations such as "insufficient IP reserves (<30), sudden increase in blocking rate (>8%), or interface connection abnormality" occur, alarms will be simultaneously sent to the operations and maintenance personnel of the two previous systems and the operations and maintenance personnel of this system via SMS / WeChat Work / email. The alarm response time is ≤1 minute to avoid affecting business operations.

[0122] The Data Cockpit Module 530 is used to automatically analyze agent usage data and generate corresponding reports, such as "weekly / monthly reports," which include "IP quality trends, geographic matching efficiency, and success rates of data collection on various platforms." These reports are then synchronized to the effect analysis module of the intelligent marketing multidimensional model computing platform, providing network layer data support for marketing strategy optimization.

[0123] To better illustrate the present invention, an application embodiment of the present invention is given below, the application scenario of which is to support the collection of data from the dual platforms of "Domestic Douyin + Overseas TK" in the whole domain data collection and analysis system.

[0124] A cross-border e-commerce company collects data from "Domestic Guangdong Douyin (clothing export content) + Overseas California TK (outdoor camping equipment content)" through a full-domain data collection and analysis system, and synchronizes it to an intelligent marketing multi-dimensional model computing platform to match "potential cross-border e-commerce customers." This platform acts as an agent support, and the implementation steps are as follows:

[0125] 1. Task synchronization and agent matching

[0126] The full-domain data acquisition system pushes task parameters through the "task synchronization interface": "Domestic task: Douyin-Guangdong-Apparel Foreign Trade-Medium Priority; Overseas task: TK-California, USA-Outdoor Camping-High Priority";

[0127] Activate the "Task-Proxy Matching Algorithm":

[0128] ① Platform compatibility: Douyin → Data center IP (Alibaba Cloud Guangdong node in China), TK → Residential IP (California, USA home IP);

[0129] ② Geographic matching: Douyin tasks are assigned data center IPs in "Guangdong Shenzhen / Guangzhou" (error ≤ 30 km), and TK tasks are assigned residential IPs in "USA California Los Angeles" (error ≤ 50 km); ③ Quality screening: Select high-availability IPs with a score ≥ 9 (Douyin IP: alive for 36 hours, no bans; TK IP: alive for 48 hours, no bans).

[0130] 2. Concurrent Scheduling and Data Acquisition Operation

[0131] Launch two independent proxy containers (one domestic and one overseas). The domestic container will be allocated 200 Guangdong data center IPs, and the overseas container will be allocated 150 California residential IPs.

[0132] Load monitoring: Domestic container CPU utilization is 55%, overseas container utilization is 62%, no expansion is needed;

[0133] Rate control: Douyin collection rate is 180 videos / minute (below the platform threshold of 200 videos / minute), and TK collection rate is 55 videos / minute (below the platform threshold of 60 videos / minute). During the collection process, one TK IP triggered a 403 block. The system identified and switched to a backup IP with a rating of 9.2 in the same region within 2 seconds, and the collection was not interrupted.

[0134] 3. Linking Compliance with Results

[0135] Behavioral simulation: Bind a "Chrome / Edge alternating UA" to the Douyin IP, and access one piece of content every 3 seconds; insert "page scrolling + 5-second dwell" into the TK IP, and the TK platform will recognize it as a "real user";

[0136] Status feedback: The system pushed "198 domestic IPs are alive, 149 overseas IPs are alive, and the collection rate meets the standard" to the full-domain data collection system; it synchronized "95% of the data supported by the agent" to the intelligent marketing platform; ultimately, within 8 hours, 432,000 pieces of domestic Douyin data and 216,000 pieces of overseas TK data were collected, with a valid data volume ratio of 95.3%. After being synchronized to the intelligent marketing platform, the customer matching accuracy improved by 12.1% compared to when there was no support from this system.

[0137] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent network proxy access system, characterized in that, include: The proxy resource layer is used to build various proxy IP pools, classify and store the collected IP resources into the corresponding proxy IP pools, and perform quality rating processing on the collected IP resources. The intelligent scheduling layer is used to synchronize tasks in real time with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system to achieve task linkage scheduling. A compliance control layer is used to avoid platform rule risks based on a multi-platform agent compliance library and human behavior simulation. An adapter interface layer is provided to provide various standardized interfaces for interfacing with intelligent marketing multi-dimensional model computing platforms and full-domain data collection and analysis systems. as well as The monitoring and maintenance layer provides multi-dimensional monitoring dashboards and intelligent alarms to support end-to-end operation and maintenance management.

2. The intelligent network proxy access system as described in claim 1, characterized in that, The proxy resource layer includes: The IP resource pool construction module is used to construct various proxy IP pools and classify and store the collected IP resources into the corresponding proxy IP pools. The IP quality dynamic rating mechanism module is used to rate the quality of collected IP resources based on rating indicators; and The IP pool elastic expansion module is used to expand various proxy IP pools periodically or as needed.

3. The intelligent network proxy access system as described in claim 2, characterized in that, The proxy IP pool includes a residential proxy IP pool, a data center proxy IP pool, and a mobile proxy IP pool.

4. The intelligent network proxy access system as described in claim 1, characterized in that, The intelligent scheduling layer includes: The task and agent two-way linkage module is used to synchronize task parameters in real time with the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system, so as to achieve accurate matching between collection needs and agent resources. A high-concurrency load scheduling module, which provides distributed scheduling for data collection tasks of the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system based on the Kubernetes containerized architecture; and The fault self-healing mechanism module is used to detect faults and restore system operation in a timely manner based on the fault detection results.

5. The intelligent network proxy access system as described in claim 4, characterized in that, The task and agent two-way linkage module includes: The task parameter receiving unit and the task parameter interface unit are used to obtain the collection task information of the intelligent marketing multidimensional model calculation platform and the full-domain data collection and analysis system through the interface. A platform type adaptation unit, which is used to allocate IP types according to an IP type mapping library; A precise geographic matching unit, used to allocate IP addresses within the same geographic region via an IP geolocation API, based on the geographic granularity requirements of the full-domain data collection; and A priority resource allocation unit is used to allocate different levels of IP resources based on the urgency of the tasks performed by the intelligent marketing multidimensional model computing platform.

6. The intelligent network proxy access system as described in claim 4, characterized in that, The high-concurrency load scheduling module includes: A task isolation unit, which is used to allocate an independent proxy container for each acquisition task; A load balancing unit, which monitors container CPU utilization and IP usage in real time and automatically scales up container nodes based on load conditions; and A rate adaptive control unit is used to dynamically adjust the acquisition rate according to the anti-crawling rules of the target platform.

7. The intelligent network proxy access system as described in claim 4, characterized in that, The fault self-healing mechanism module includes: A real-time blocking detection unit is used to monitor and collect response codes and page features in real time, and to identify IP blocking based on the monitoring results; An automatic IP switching unit is configured to automatically match a backup IP address based on the IP blocking identification result; and The fault tracing and optimization unit is used to record the usage logs of blocked IPs, analyze the reasons for the blocking, and synchronize the analysis results to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system.

8. The intelligent network proxy access system as described in claim 1, characterized in that, The compliance control layer includes: The platform rule dynamic adaptation module is used to build a multi-platform proxy compliance library, update IP usage specifications in real time and automatically verify proxy parameters before the collection task starts, and connect to the crawler behavior module of the intelligent marketing multi-dimensional model calculation platform and the full-domain data collection and analysis system. The human behavior simulation module is used to bind dynamic behavioral characteristics to proxy IPs, simulate real user operations, and reduce the risk of platform identification. The compliance log retention module records the usage time, associated collection task ID, access content, and behavioral parameters of each IP address, and synchronizes the recording results to the compliance audit module of the intelligent marketing multidimensional model computing platform and the full-domain data collection and analysis system.

9. The intelligent network proxy access system as described in claim 8, characterized in that, The human behavior simulation module includes: An access rhythm simulation unit is used to insert random intervals to avoid continuous access. A device fingerprint dynamic generation unit, wherein the device fingerprint dynamic generation unit is used to generate different device fingerprints for each IP in real time; and An interactive behavior insertion unit is used to randomly execute specified operations during the data collection process to adapt to the behavior detection mechanism of the social platform.

10. The intelligent network proxy access system as described in claim 1, characterized in that, The adapter interfacing layer includes: A standardized interface module is provided to offer multiple types of standardized interfaces, enabling end-to-end integration with the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system; and A custom configuration module is used to customize configurations for different data collection scenarios according to user requirements.

11. The intelligent network proxy access system as described in claim 10, characterized in that, The standardized interfaces of various types include task allocation interface, agent allocation interface, status feedback interface, and log synchronization interface.

12. The intelligent network proxy access system as described in claim 10, characterized in that, The user requirements that the self-location configuration module can accept include agent type preference, geographic coverage, and rate threshold.

13. The intelligent network proxy access system as described in claim 1, characterized in that, The monitoring and maintenance layer includes: The multi-dimensional monitoring dashboard module is used to display core indicators related to the intelligent marketing multi-dimensional model computing platform and the full-domain data collection and analysis system in real time, allowing operation and maintenance personnel and business personnel to grasp the status in real time. The intelligent alarm module is used to alert maintenance personnel when abnormal situations occur; and The data cockpit module is used to automatically analyze agent usage data, generate corresponding reports, and synchronize them to the effect analysis module of the intelligent marketing multi-dimensional model computing platform.

14. The intelligent network proxy access system as described in claim 13, characterized in that, The core metrics displayed by the multi-dimensional monitoring dashboard module include agent resource metrics, data collection and linkage metrics, fault metrics, and business support metrics.

Images