An internet advertisement management method and system for park investment attraction

Abstract

This invention relates to the field of internet advertising management technology, and discloses a method and system for internet advertising management aimed at industrial park investment promotion. The method acquires operational status information of professional resources, assesses their readiness based on this information, and then adjusts promotional activities according to readiness indicators. This method effectively solves the problem in existing technologies where industrial park investment promotion advertising management only focuses on physical vacancy while neglecting the operational readiness status and internal maintenance schedule of professional resources.

Description

Technical Field

[0001] This invention relates to the field of internet advertising management technology, and more specifically, to an internet advertising management method and system for investment promotion in industrial parks. Background Technology

[0002] In modern high-tech industrial parks, to attract companies with stringent requirements for cutting-edge technology facilities, the parks typically employ targeted investment promotion through internet advertising. However, existing advertising management methods often focus only on the physical vacancy of high-value resources such as specialized laboratories, neglecting the complex "operational readiness" and "internal maintenance schedules" behind these resources. This information asymmetry leads to a significant gap between advertising and actual customer visits, not only disappointing potential clients but also potentially damaging the park's professional image and market reputation.

[0003] Specifically, while the resource status information in the park's operation and management system can display the "vacancy" status of specialized laboratories, it primarily focuses on physical space occupancy and fails to fully integrate or reflect in real-time the "operational readiness" or "internal maintenance schedule" of these laboratories. For example, the operation and environmental maintenance of a high-precision optical testing laboratory are far more complex than those of a typical office space. It requires strict control of internal temperature, humidity, particulate matter content, and even micro-vibrations on the ground, and the core optical testing equipment needs regular professional calibration and maintenance. Although these environmental parameters and maintenance plans are reflected in the annual plan of the park's facilities maintenance department, due to their specialized and independent nature, they are not synchronized in real-time and in detail to the resource availability system for the investment promotion department.

[0004] Therefore, when the investment promotion department increases advertising and arranges numerous client visits, it may coincide with the annual precision calibration of the core optical equipment in the high-precision optical testing laboratory, resulting in the laboratory being closed or its internal environmental parameters being adjusted to abnormal operating ranges. This significant gap between advertising and actual experience not only leads to the loss of several high-quality potential clients but also causes substantial damage to the park's professional image and brand reputation, making subsequent investment promotion efforts targeting high-tech enterprises extremely difficult.

[0005] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0006] This invention provides an internet advertising management method and system for investment promotion in industrial parks. It aims to solve the problem that in the existing investment promotion advertising management of industrial parks, the lack of attention to the operational readiness of professional resources and internal maintenance schedules leads to a huge gap between advertising and the actual visit experience of customers, which in turn damages the professional image and market reputation of the industrial parks.

[0007] The technical solution of this application is as follows: Firstly, this application discloses an internet advertising management method for investment promotion in industrial parks, including: Obtain operational status information of professional resources, including environmental parameters, equipment operation status, visual status, and maintenance plans; Based on operational status information, assess the readiness status of professional resources and generate readiness indicators; In accordance with the readiness instructions, adjust the promotional activities of professional resources, including advertising strategies and client visit arrangements.

[0008] Through this technical solution, this application can obtain real-time operational status information of professional resources and assess their readiness based on this information, thereby dynamically adjusting promotional activities. This effectively avoids the problem of advertising and actual experience being disconnected due to information asymmetry, and improves investment attraction efficiency and the professional image of the park.

[0009] Furthermore, in some implementation schemes, based on the acquired operational status information, the readiness status of professional resources is assessed, and readiness indicators are generated, including: Continuously collect real-time data streams from professional resources; Extract spectral features from real-time data streams; Perform similarity matching between spectral features and pre-stored interference source features; Calculate the interference index based on the matching results; Based on the interference index, adjust the readiness assessment results of professional resources and generate readiness indicators.

[0010] Through this technical solution, this application can more accurately identify potential interference by extracting spectral features and matching interference sources from real-time data streams, thereby more accurately assessing the readiness of professional resources and improving the precision and reliability of the assessment.

[0011] More specifically, in some implementation plans, promotional activities for professional resources are adjusted according to readiness instructions, including: Obtain a task plan statement that defines the task type, estimated start time, estimated end time, standard components to be removed, a list of non-standard components to be installed, and the range of environmental parameter adjustments that may be involved during the task. Approve the task plan declaration and store the approved task plan after approval; When a professional resource is detected to have an ongoing approved task plan, the task-related components in the professional resource are identified based on the list of non-standard components in the approved task plan. Adjust the environmental parameters according to the range declared in the approved mission plan, and adapt the environmental assessment thresholds to the professional resources. Based on the adapted environmental assessment threshold and the identification results of task-related components, the readiness score of professional resources is calculated, and the detailed information of the approved task plan is associated with the readiness score and stored as a contextualized readiness status record. When a query for the readiness status of professional resources is received, a contextualized readiness status record is generated, which includes a readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and recommendations on the applicability to the specific task. Transmission Context Explanation Report.

[0012] Through this technical solution, this application can deeply link task plans with the readiness status of professional resources and generate scenario interpretation reports, making the adjustment of promotion activities more intelligent and refined, effectively avoiding investment promotion conflicts caused by maintenance or upgrade tasks, and improving customer satisfaction.

[0013] Building upon this, this application further proposes that, upon receiving a query regarding the readiness status of professional resources, a contextualized readiness status record is generated, including a readiness score, the reasons for the readiness score, details of approved task plans, estimated recovery time, and recommendations on the applicability to a specific task. This includes: When an approved task plan is changed, the report update process is triggered; Identify the generated contextual explanation reports that have been affected by the changes; Based on the latest approved mission plan information, regenerate the generated scenario explanation report affected by the changes. The regenerated report updates the estimated recovery time, the list of standard components to be removed, the list of non-standard components to be installed, and the applicability recommendations for specific missions. Version control logs for maintenance reports; When a query for the readiness status of professional resources is received, the latest contextual explanation report is matched according to the version control record. Transmit the latest situational explanation report.

[0014] Through this technical solution, this application can realize dynamic updates and version control of the contextual explanation report, ensuring that the querying party always obtains the latest and most accurate professional resource readiness information, further improving the timeliness and accuracy of information transmission.

[0015] Building upon the above, this application further proposes that, upon receiving a query regarding the readiness status of professional resources, a contextualized readiness status record is generated, comprising a readiness score, the reasons for the readiness score, details of approved task plans, estimated recovery time, and recommendations on the applicability to a specific task, including: Obtain the identity information of the person making the query and the type of query; Based on the identity information, the queryer's report preference settings are retrieved. These preferences include the level of report detail, the level of technical terminology, and the information presentation format. Extract information from contextualized readiness records based on reporting preference settings; Based on reporting preferences, a contextual explanation report is constructed. The constructed contextual explanation report includes: When the querying party is an automated system, select the structured data format and restrict the report to critical readiness scores and core mission status codes; When the inquirer is an investment manager, select a report format that includes summary information and business impact analysis, and use commonly used business terminology; When the queryer is a senior technical expert, select a report format that includes detailed technical parameters, environmental fluctuation data, and equipment configuration details, and use technical terminology.

[0016] Through this technical solution, this application can generate customized contextual explanation reports based on the identity and preferences of the querying party, ensuring that information is presented in the most suitable way for the recipient, improving the usability and comprehensibility of the report, and meeting the needs of different users.

[0017] Furthermore, upon receiving a query regarding the readiness status of professional resources, after generating a contextualized readiness status report that includes a readiness score, the reason for the readiness score, details of approved task plans, estimated recovery time, and recommendations on the suitability for the specific task, based on the contextualized readiness status record, it also includes: Obtain the permission level of the querying party; Based on the access level, identify the sensitive information fields in the context explanation report that need to be protected; Sensitive information is de-identified based on access levels and the type of sensitive information fields. The de-identification process includes: When the sensitive information is numerical data, the scope of the context explanation report is blurred. When the sensitive information is text-based data, some characters in the context explanation report will be replaced or hidden. When the sensitive information is an identifier, the context explanation report is hashed. The anonymized contextual explanation report is transmitted to the querying party.

[0018] This technical solution enables sensitive information to be anonymized based on the user's access level, effectively protecting data privacy and security while ensuring the effective transmission of information, thus achieving a balance between security and efficiency.

[0019] Preferably, when de-identifying sensitive information according to the permission level and the type of sensitive information field, the process includes: Acquire real-time data streams of sensitive information, including the numerical values, text content, and access frequency of the sensitive information. Based on real-time data streams, identify the current activity level and frequency of access to sensitive information; The business risk level of sensitive information is determined based on its importance in a specific business scenario. The intensity of the de-identification process is dynamically adjusted based on current activity levels, frequency of access, and business risk level. Adjustments to the intensity of the de-identification process include: When sensitive information has high activity, high access frequency, and a high level of business risk, the desensitization intensity should be increased. When sensitive information has low activity, low access frequency, and low business risk level, reduce the desensitization intensity. Sensitive information is desensitized based on the adjusted desensitization intensity.

[0020] Through this technical solution, this application can dynamically adjust the desensitization intensity based on the real-time activity, access frequency, and business risk level of sensitive information, achieving more refined data protection that ensures both data security and data availability.

[0021] In one implementation, sensitive information is de-identified based on the permission level and the type of the sensitive information field, including: Retrieve all information fields from the context explanation report, including both sensitive and non-sensitive information fields; Identify the logical relationships between sensitive and non-sensitive information fields; Based on the permission level and the type of sensitive information field, the sensitive information is initially de-identified; After the initial desensitization process, assess whether the logical relationship between sensitive and non-sensitive information fields has been disrupted; When logical associations are broken, the association of the initially desensitized sensitive information is adjusted based on the type of logical association and the content of non-sensitive information fields. This adjustment includes: When the logical association is a time-series association, adjust the timestamp of the desensitized sensitive information to make it consistent with the timestamp of the non-sensitive information; When the logical association is a spatial location association, adjust the spatial coordinates of the desensitized sensitive information to make them consistent with the spatial coordinates of the non-sensitive information; When the logical association is a numerical range association, adjust the numerical range of the desensitized sensitive information to make it consistent with the numerical range of the non-sensitive information; Generate a contextual explanation report based on the sensitive information adjusted according to logical relationships.

[0022] Through this technical solution, this application is able to identify and maintain the logical relationship between sensitive and non-sensitive information, ensuring that the de-identification process protects privacy without compromising the integrity and usability of the data, thereby improving the practical value of the de-identified data.

[0023] As an optional solution, sensitive information can be anonymized based on the permission level and the type of the sensitive information field, including: Obtain the sensitive information to be de-identified and its corresponding business domain identifier; Based on the business domain identifier, obtain a list of shared target systems related to the business domain and the required information granularity for each target system; Generate a globally unique and irreversible anonymized identifier for sensitive information; Based on the shared target system list and information granularity requirements, sensitive information undergoes tiered desensitization processing, which includes: For sensitive information that needs to be transmitted to an external investment promotion and collaboration system, the numerical data of the sensitive information is processed into intervals, the text data is replaced with semantically preserved data, and bound to anonymization tags; For sensitive information that needs to be transmitted to the park's internal operation and management system, the numerical data of the sensitive information is processed to reduce its precision, and the text data is extracted with keywords and bound with anonymization tags. Sensitive information that has undergone hierarchical anonymization processing is stored together with anonymization tags, and a mapping relationship between anonymization tags and sensitive information is established. This mapping relationship is only accessible to authorized internal audit systems.

[0024] Through this technical solution, this application can perform hierarchical desensitization and anonymization of sensitive information according to the business domain and target system requirements, thereby achieving security and traceability of cross-system data sharing, while protecting the privacy of the original sensitive information.

[0025] Secondly, this application also discloses an internet advertising management system for investment promotion in industrial parks, including: The input end is used to obtain the operational status information of professional resources, which includes environmental parameters, equipment operation status, visual status, and maintenance plan. The assessment end is used to evaluate the readiness status of professional resources based on operational status information and generate readiness indicators. The adjustment module is used to adjust the promotional activities of professional resources based on the readiness instructions. The promotional activities include advertising strategies and customer visit arrangements.

[0026] This application provides a system-level solution through this technical solution. Through modular design, it enables the acquisition, evaluation, and adjustment of the operational status of professional resources and promotional activities, providing an efficient and intelligent management tool for park investment promotion. Beneficial effects

[0027] This application discloses an internet advertising management method and system for investment promotion in industrial parks. By acquiring operational status information of professional resources and assessing their readiness based on this information, the method adjusts promotional activities according to readiness indicators. This method effectively solves the problem in existing technologies where investment promotion advertising management in industrial parks only focuses on physical vacancy while neglecting the operational readiness status and internal maintenance schedule of professional resources.

[0028] Specifically, by acquiring real-time operational status information such as environmental parameters, equipment operating conditions, visual status, and maintenance plans, this application can comprehensively and accurately grasp the true availability of professional resources. Based on this, the readiness status of professional resources is assessed and readiness indicators are generated, enabling the investment promotion department to clearly understand whether resources are in optimal promotional condition. Finally, advertising strategies and customer visit arrangements are dynamically adjusted based on the readiness indicators, avoiding customer disappointment and damage to the park's image caused by discrepancies between the actual resource status and advertising claims. Therefore, this application can significantly improve investment promotion efficiency, optimize customer experience, and effectively maintain and enhance the park's professional image and market reputation, overcoming the drawbacks of information asymmetry in existing technologies. Attached Figure Description

[0029] Figure 1 This is a flowchart of a method for managing internet advertising for investment promotion in industrial parks, provided by an embodiment of the present invention. Figure 2 This is a flowchart of a method for generating a ready indicator provided by an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an internet advertising management system for investment promotion in industrial parks, provided by an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Reference Figure 1 , Figure 1 This is a flowchart of a method for internet advertising management for investment promotion in industrial parks, provided by an embodiment of the present invention, including: S11, Obtain the operational status information of professional resources, which includes environmental parameters, equipment operation status, visual status, and maintenance plan; S12, Based on the operational status information, assess the readiness status of the professional resources and generate a readiness indication; S13, according to the readiness instruction, adjust the promotion activities of the professional resources, the promotion activities including advertising strategies and customer visit arrangements.

[0032] This application, by acquiring and comprehensively analyzing the operational status information of professional resources, can accurately assess their readiness status and dynamically adjust promotional activities accordingly. This effectively solves the problem of the disconnect between advertising and actual resource status in existing technologies, and significantly improves investment attraction efficiency and customer satisfaction.

[0033] To better understand the method proposed in this application, the key terms involved will first be explained.

[0034] "Specialized resources" refer to facilities or places within the park that have specific functions and high value, such as high-precision optical testing laboratories, biomedical research and development centers, and supercomputing centers. These resources usually have strict requirements for the operating environment and equipment status.

[0035] "Operational Status Information" is a comprehensive set of data describing the current working status of professional resources. It includes "Environmental Parameters", "Equipment Operation Status", "Visual Status", and "Maintenance Plan".

[0036] Among them, "environmental parameters" refers to the physical environmental indicators within the space where the professional resources are located, such as temperature, humidity, cleanliness, and micro-vibration; "equipment operation status" refers to the operating status of the core equipment inside the professional resources, such as the equipment's on / off status, load rate, and fault alarms; "visual status" refers to the on-site conditions of the professional resources obtained through image or video monitoring, such as the cleanliness of the laboratory and personnel activities; and "maintenance plan" refers to the scheduled maintenance, calibration, or upgrade activities of the professional resources.

[0037] "Ready status" refers to whether professional resources are in a state where they can be immediately put into use or meet specific investment promotion and display requirements.

[0038] A "readiness indicator" is a signal or report generated based on the results of a readiness assessment, used to guide subsequent promotional activities.

[0039] "Promotional activities" refer to a series of marketing and customer reception efforts undertaken by the park to attract potential customers, including "advertising strategies" and "customer visit arrangements." "Advertising strategies" refer to the channels, content, frequency, and target audience of internet advertising; "customer visit arrangements" refer to the schedule, routes, and reception plans for potential customers to visit professional resources.

[0040] The core of the internet advertising management method for investment promotion in industrial parks proposed in this application lies in achieving intelligent adjustment of promotional activities through refined professional resource operation status management.

[0041] There are several ways to acquire operational status information for specialized resources. For example, various sensors can be deployed within the resources to collect environmental parameters in real time, such as temperature, humidity, dust, and vibration sensors. These sensors will continuously monitor and transmit data. Simultaneously, by integrating IoT modules or SCADA (Supervisory Control and Data Acquisition) systems into the internal devices of the resources, real-time operational status can be obtained, including device on / off status, operating mode, energy consumption data, and any abnormal alarm information. Furthermore, high-definition cameras can be installed in key areas of the resources to acquire visual status information through video stream analysis. For example, image recognition technology can be used to determine the cleanliness of the laboratory, whether equipment is arranged correctly, and even to identify unauthorized personnel entering the premises.

[0042] For maintenance plans, data interfaces can be established with the park's facility management system or the equipment supplier's maintenance scheduling system to periodically synchronize or obtain the latest maintenance, calibration, or upgrade plans in real time. For example, in a high-precision optical testing laboratory, environmental parameters can be acquired in real time through temperature and humidity sensors, cleanliness sensors, and micro-vibration sensors deployed within the laboratory; equipment operating status can be obtained through the control system connected to the optical testing instruments to acquire their working modes and power consumption; visual status can be obtained through real-time images from monitoring cameras within the laboratory; and maintenance plans can be extracted from the equipment supplier's annual maintenance contract.

[0043] Based on the acquired operational status information, the readiness status of professional resources is assessed and a readiness indicator is generated. In one implementation, a series of predefined thresholds and rules can be set. For example, for environmental parameters, thresholds such as temperature range, humidity range, and cleanliness level can be set; for equipment operation, indicators such as equipment uptime and failure rate can be set; for maintenance plans, it can check whether there are ongoing or upcoming maintenance tasks. When all parameters are within the normal range and there are no maintenance tasks, the system is assessed as "ready"; otherwise, it is assessed as "not ready." For example, if the temperature in a high-precision optical testing laboratory exceeds a preset range, or if core optical equipment is undergoing annual calibration, the laboratory's readiness status will be assessed as "not ready." After the assessment, the system generates a corresponding readiness indicator, such as a green light indicating "ready" and a red light indicating "not ready," or generates a detailed readiness status report.

[0044] Based on the generated readiness indicators, the system adjusts the promotional activities for professional resources. In one implementation, when the readiness indicator shows a professional resource as "ready," the system can automatically increase the internet advertising budget for that resource, expand the advertising reach, and prioritize arranging on-site visits for clients. For example, if a high-precision optical testing laboratory is in a "ready" state, the system can automatically increase promotional advertisements for the laboratory on platforms such as technology media and industry forums, and recommend it to the business development manager as a key focus for client visits. Conversely, when the readiness indicator shows a professional resource as "not ready," the system can automatically pause or reduce advertising for that resource to avoid directing clients to resources that cannot be displayed properly, and adjust client visit arrangements, such as postponing the visit or recommending alternative resources. For example, if a laboratory is in a "not ready" state due to equipment maintenance, the system will pause its advertising and notify the business development manager to adjust the already arranged client visit plan to avoid inconvenience for clients during their visit.

[0045] This application, by acquiring and comprehensively analyzing operational status information such as environmental parameters, equipment operating conditions, visual status, and maintenance plans, can comprehensively and in real-time assess the readiness status of professional resources and generate clear readiness indicators. For example, when a high-precision optical testing laboratory is in a "disready" state due to equipment calibration, this application can promptly identify and adjust relevant advertising and customer visit arrangements, avoiding the embarrassing situation where customers encounter a laboratory that cannot be properly showcased during their visits. This dynamic adjustment mechanism ensures the accuracy and effectiveness of promotional activities, significantly improving the satisfaction of potential customers and the professional image of the park. Therefore, this application not only solves the problem of information asymmetry in existing technologies but also brings substantial efficiency improvements and brand value enhancements to park investment promotion through intelligent management.

[0046] Traditional internet advertising management methods for attracting investment to industrial parks may rely solely on macro-level information such as preset environmental parameters, equipment operation status, visual condition, and maintenance plans when assessing the readiness of professional resources. This approach fails to adequately consider the impact of potential, subtle internal or external interference factors on the actual availability and performance of these resources. For example, assuming a high-tech laboratory is a professional resource for attracting investment to an industrial park, its equipment may appear to be operating normally, but electromagnetic interference or abnormal vibration could lead to deviations in the results of precise experiments, thus affecting its actual presentation. Without addressing these issues, the generated readiness indicators may not accurately reflect the true state of the professional resources, leading to inappropriate adjustments to promotional strategies (such as customer visits or advertising placements), impacting investment attraction efficiency and the park's image. To address this, this application proposes a more refined readiness assessment method that improves the accuracy and reliability of the assessment by introducing the detection and quantification of interference factors.

[0047] refer to Figure 2 , Figure 2 This is a flowchart of a method for generating a ready indication provided in an embodiment of the present invention. S12 includes: S121, continuously collect the real-time data stream of the professional resources; S122, extract spectral features from the real-time data stream; S123, perform similarity matching between the spectral features and the pre-stored interference source features; S124, calculate the interference index based on the matching results; S125, Based on the interference index, adjust the readiness status assessment result of the professional resources and generate the readiness indication.

[0048] Specifically, continuously collecting real-time data streams from the professional resources refers to the uninterrupted acquisition of various data generated during the operation of these resources, such as sensor data, network communication data, and environmental monitoring data. The purpose is to provide a comprehensive and timely information foundation for subsequent interference detection.

[0049] The spectral feature extraction of the real-time data stream can be understood as converting the time-domain data into frequency-domain data using signal processing techniques such as Fourier transform, thereby analyzing the intensity and distribution of different frequency components in the data. This step aims to reveal potential periodic or non-periodic fluctuations in the data, which are often associated with specific interference sources.

[0050] In practical applications, matching the spectral features with pre-stored interference source features involves comparing the extracted spectral features with a database containing typical spectral features of known interference sources (such as motor vibration, electromagnetic radiation, and abnormal sound waves). For example, correlation coefficients, Euclidean distance, or machine learning algorithms can be used for matching, with the aim of identifying whether known types of interference exist in the current professional resource operating environment.

[0051] Furthermore, calculating the interference index based on the matching results means quantifying the intensity or probability of interference in the current environment based on the degree of matching of spectral characteristics. For example, the higher the matching degree, the higher the interference index, and its purpose is to provide an objective numerical value to measure the severity of interference.

[0052] Therefore, adjusting the readiness assessment result of the professional resource based on the interference index and generating the readiness indicator means using the calculated interference index as a correction factor to revise the preliminary readiness assessment result based on traditional operational status information. For example, if the interference index is high, even if other indicators show normal values, the readiness status may be adjusted from "fully ready" to "partially ready due to interference," and a corresponding readiness indicator may be generated. The purpose is to ensure that the readiness indicator can more accurately reflect the true availability of the professional resource in the actual operating environment.

[0053] This application's solution provides foundational data for interference detection by continuously collecting real-time data streams from professional resources. Subsequently, by extracting spectral features from these real-time data streams, potential interference signals can be effectively separated from normal operation data and transformed into analyzable frequency domain features. Because these spectral features can reflect abnormal fluctuations or external interference present in equipment operation, subsequent similarity matching with pre-stored interference source features becomes possible. Through this matching, the system can identify whether known interference sources and their types exist in the current environment. Based on this, an interference index is calculated according to the matching results, thereby quantifying the severity of the interference. Finally, based on this interference index, the readiness assessment results of professional resources are adjusted to ensure that the generated readiness indication not only considers normal operating parameters but also fully takes into account the potential impact of interference, thus overcoming the limitation of traditional assessment methods that may ignore interference factors, leading to inaccurate assessments.

[0054] Through the above technical solution, this application overcomes the problem that traditional readiness assessment methods may lead to biased assessment results in complex operating environments due to the failure to effectively identify and quantify interfering factors. By introducing real-time data stream spectral characteristic analysis and an interference source matching mechanism, the true readiness status of professional resources can be assessed more precisely and accurately. This sensitivity to and quantification of interfering factors makes the generated readiness indicators more reliable, thereby more effectively guiding adjustments to promotional activities, avoiding the impact of poor actual resource status on investment attraction results, and significantly improving the accuracy and efficiency of park investment attraction.

[0055] The aforementioned promotional activities for adjusting professional resources specifically include: Obtain a task plan statement that defines the task type, estimated start time, estimated end time, a list of standard components to be removed and non-standard components to be installed, and the range of environmental parameter adjustments that may be involved during the task; The task plan declaration is approved, and the approved task plan is stored after approval. When it is detected that the professional resource has an ongoing approved task plan, the task-related components in the professional resource are identified according to the list of non-standard components in the approved task plan. The environmental assessment thresholds of the professional resources are adapted to the range of environmental parameters declared in the approved mission plan. Based on the adapted environmental assessment threshold and the identification results of the task-related components, the readiness score of the professional resources is calculated, and the detailed information of the approved task plan is associated with the readiness score and stored as a contextualized readiness status record. When a query for the readiness status of the professional resources is received, a contextualized readiness status record is generated, which includes the readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and a contextual explanation report on the applicability of the specific task. Transmit the situation explanation report.

[0056] Specifically, a task plan statement is a detailed description of all operations planned for a professional resource over a future period. Its purpose is to anticipate and manage the potential impact of these operations on the resource's status. This statement may include the type of task (e.g., maintenance, upgrades, modifications), the expected start and end times, a list of standard components to be removed and non-standard components to be installed during task execution, and even the range of adjustments to environmental parameters (e.g., temperature, humidity, cleanliness).

[0057] The approval process for task plan declarations aims to ensure that all planned operations comply with the park's management regulations and safety standards. Once approved, the task plan is considered approved and stored in the system for subsequent tracking and management.

[0058] In practical applications, when the system detects that a professional resource is executing an approved task plan, it identifies the currently task-related components based on the list of non-standard components outlined in the plan. For example, if the plan is to install a new high-precision device, that device and its required auxiliary facilities are identified as task-related components. Simultaneously, based on the environmental parameter adjustment ranges declared in the approved task plan, the system dynamically adapts the environmental assessment thresholds for the professional resource. This means that during task execution, the normal fluctuation range of environmental parameters may be widened or tightened to accommodate the specific needs of the task and avoid misjudging the resource status due to temporary adjustments.

[0059] Based on this, and using the adapted environmental assessment thresholds and identified task-related components, the system calculates a readiness score for the professional resources. This readiness score not only reflects the current operational status of the resources but also incorporates the contextual impact of the task plan. Subsequently, detailed information about the approved task plan is associated with this readiness score and stored as a contextualized readiness status record. This recording method ensures that the assessment of readiness status is no longer isolated but closely integrated with the specific task context.

[0060] Furthermore, when a query for the readiness status of professional resources is received, the system generates a contextual explanation report based on stored contextualized readiness records. This report not only provides the current readiness score but also details the reasons for that score (e.g., an ongoing task), specific details of approved task plans, estimated recovery time, and applicability recommendations for the specific investment attraction task. For example, the report might state, "The laboratory is currently undergoing equipment upgrades and is expected to return to normal operation in two weeks. A full functional demonstration is not suitable during this period, but a visit to the new equipment installation process can be arranged."

[0061] The resulting contextual explanation report will then be transmitted to the querying party, providing them with comprehensive, accurate, and context-aware decision-making support.

[0062] This application's solution effectively addresses the limitations of traditional methods that rely solely on general readiness indicators to adjust promotional activities by introducing task plan statements and contextualized readiness status records. Through this technical solution, the application enables refined and contextualized adjustments to professional resource promotional activities. Compared to traditional methods that rely solely on general readiness indicators, this application more accurately reflects the true availability of professional resources during specific tasks (such as maintenance and upgrades), thereby significantly reducing investment promotion decision-making errors caused by information lag or inaccuracy. Specifically, by providing contextual explanation reports that include readiness scores, reasons, task details, estimated recovery time, and applicability recommendations, investment promotion teams can more effectively plan advertising strategies and customer visit arrangements, avoiding ineffective promotion when resources are unavailable or missing potential opportunities when resources are partially available. This not only improves the accuracy and efficiency of investment promotion activities but also enhances customer trust in the park's professional resource management level, thereby strengthening the park's overall investment promotion competitiveness.

[0063] In some embodiments described above, a scheme is proposed for generating and transmitting contextualized readiness reports based on contextualized readiness records. However, in practical applications, approved task plans are not static and may change due to various factors (such as project delays, changes in component supply, or adjustments in environmental conditions). If the generated contextualized reports are not updated in a timely manner, the requesting party (such as a business development manager or automated system) may obtain outdated or inaccurate information, leading to misjudgments of the readiness status of professional resources, thereby affecting the effectiveness of promotional activities and the accuracy of decision-making.

[0064] In response, this application further proposes an internet advertising management method for investment promotion in industrial parks. When a query for the readiness status of professional resources is received, a contextualized readiness status record is generated, containing a readiness score, the reason for the readiness score, details of approved task plans, estimated recovery time, and recommendations on the applicability of the specific task. This includes: When an approved task plan is changed, the report update process is triggered; Identify the generated contextual explanation reports that have been affected by the changes; Based on the latest approved mission plan information, regenerate the generated scenario explanation report affected by the changes. The regenerated report updates the estimated recovery time, the list of standard components to be removed, the list of non-standard components to be installed, and the applicability recommendations for specific missions. Version control logs for maintenance reports; When a query for the readiness status of professional resources is received, the latest contextual explanation report is matched according to the version control record. Transmit the latest situational explanation report.

[0065] Specifically, when an approved task plan changes—for example, if the expected start or end time of the task is adjusted, the list of standard components to be removed changes, the list of non-standard components to be installed is added to or removed from, or the range of environmental parameters that may be involved in the task is revised—the system will automatically or manually trigger a report update process. This update process aims to ensure that all readiness reports related to the change reflect the latest situation in a timely manner.

[0066] Specifically, identifying generated scenario explanation reports affected by changes refers to the system tracing the correlation between approved task plans and generated scenario explanation reports to accurately locate those reports that may contain outdated information due to task plan changes. For example, the unique identifier of the task plan can be matched with the task plan details referenced in the report.

[0067] Furthermore, based on the latest approved task plan information, a new scenario explanation report affecting the changes is generated. During the regeneration process, the system reassesses the readiness status of professional resources and updates key information in the report, such as the estimated recovery time, the list of standard components to be removed, the list of non-standard components to be installed, and suitability recommendations for specific tasks, based on the latest task plan details. For example, if the installation of a non-standard component is delayed, the estimated recovery time may be extended accordingly, and the suitability recommendations for specific tasks may also be adjusted.

[0068] In addition, to ensure report traceability and historical query capabilities, the system maintains a version control record for each report. This record can include information such as the generation time of each report version, the content modified, the person who made the modification, and the corresponding task plan version, thus forming a complete report lifecycle management system.

[0069] Therefore, when a query for the readiness status of professional resources is received, the system will first match and retrieve the latest contextual explanation report based on version control records. This means that no matter how many times the task plan changes, the querying party will always obtain a report reflecting the latest status. Finally, this latest contextual explanation report will be transmitted to the querying party.

[0070] This application's solution effectively addresses the issue of information lag in scenario explanation reports under dynamically changing task plans by introducing a report update process and version control mechanism. When an approved task plan changes, the system can promptly detect and trigger report updates, ensuring that affected reports are identified and regenerated. By recalculating and updating key parameters in the report, such as estimated recovery time, component lists, and applicability recommendations, the timeliness and accuracy of the report content are guaranteed. Simultaneously, maintaining version control records ensures that the system always provides the latest scenario explanation reports, avoiding the risk of querying users receiving outdated information. It is precisely this dynamic update and version management capability that enables the assessment of the readiness status of professional resources and the adjustment of promotional activities to be based on the most accurate and timely information.

[0071] Through the aforementioned technical solution, this application significantly improves the accuracy, real-time performance, and reliability of contextual explanation reports. Compared to the basic solution where report information may lag due to changes in task plans, this application, through automated report updates and version control, ensures that the querying party always has access to up-to-date information reflecting the latest status of professional resources. This not only avoids decision-making errors caused by inaccurate information but also enhances the system's adaptability to dynamic changes, enabling more precise and efficient promotional activities for park investment attraction. Furthermore, the introduction of version control records provides a solid data foundation for subsequent auditing, analysis, and traceability, further enhancing the rigor and transparency of management methods.

[0072] In some embodiments described above, a scenario interpretation report is generated based on a contextualized readiness status record and transmitted upon receiving a query about the readiness status of professional resources. However, in practical applications, different querying parties may have different requirements regarding the content, format, and level of detail of the report. If the scenario interpretation report is presented in a single, standardized format, it may not fully meet the specific information needs of various querying parties. For example, automated systems require structured data for processing, while investment managers are more concerned with business impact and summary information, and senior technical experts require detailed technical parameters. This limitation in information presentation may lead to low information utilization efficiency and even affect the accuracy of report-based decision-making.

[0073] In response, this application further proposes that when a query for the readiness status of professional resources is received, a contextualized readiness status record is generated, including a readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and recommendations on the applicability to the specific task, including: Obtain the identity information of the person making the query and the type of query; Based on the identity information, the report preference settings of the querying party are retrieved, which include the level of report detail, the level of technical terminology, and the information presentation format. Extract information from contextualized readiness records based on reporting preference settings; Based on reporting preferences, a contextual explanation report is constructed. The constructed contextual explanation report includes: When the querying party is an automated system, select the structured data format and restrict the report to critical readiness scores and core mission status codes; When the inquirer is an investment manager, select a report format that includes summary information and business impact analysis, and use commonly used business terminology; When the queryer is a senior technical expert, select a report format that includes detailed technical parameters, environmental fluctuation data, and equipment configuration details, and use technical terminology.

[0074] Specifically, obtaining the identity information of the querying party and the query type means that when the system receives a query request, it first identifies the entity initiating the query, such as an internal automated scheduling system, a park's investment manager, or a senior technical expert responsible for equipment maintenance. The query type specifies the purpose of the query, such as routine checks, troubleshooting, or business decision support.

[0075] Specifically, based on the identity information, the system retrieves the queryer's report preferences, which include report detail level, level of technical terminology, and information presentation format. This means that the system will obtain the queryer's personalized report requirements from preset or user-defined configurations based on the identified queryer's identity. Report detail level can range from highly summarized summaries to extremely detailed raw data; level of technical terminology can range from easy-to-understand business language to rigorous technical jargon; and information presentation format can be structured data (such as JSON, XML), charts, text reports, etc. These preferences ensure that the report content is highly matched to the recipient's needs.

[0076] In practical applications, information is extracted from contextualized readiness records based on reporting preferences. These records contain a wealth of information, including the readiness score of professional resources, the reasons for the score, details of approved task plans, estimated recovery time, and suitability recommendations for specific tasks. The system selectively filters, aggregates, or streamlines the necessary data points from these records based on the queryer's reporting preferences, avoiding interference from irrelevant information.

[0077] Furthermore, contextual explanation reports are constructed based on reporting preferences. Specifically, when the querying party is an automated system, the system selects a structured data format, such as JSON or XML, and limits the report content to critical readiness scores and core task status codes. This is because automated systems typically need to quickly and accurately parse specific data points to trigger subsequent operations, and redundant information increases the processing burden. When the querying party is a business development manager, the system selects a report format that includes summary information and business impact analysis, and uses commonly used business terminology. Business development managers are more concerned with the overall availability of professional resources, their impact on business development activities, and potential risks, rather than underlying technical details. When the querying party is a senior technical expert, the system selects a report format that includes detailed technical parameters, environmental fluctuation data, and equipment configuration details, and uses technical jargon. Senior technical experts need a deep understanding of the operational status of professional resources in order to conduct fault diagnosis, performance optimization, or maintenance planning.

[0078] This application's solution identifies the inquirer's identity and query type, and extracts and constructs reports from contextualized readiness records based on their preset reporting preferences. This personalized information presentation mechanism ensures that different types of inquirers receive reports best suited to their needs and understanding habits. Through this technical solution, this application significantly improves the practicality and information delivery efficiency of contextual explanation reports. By providing customized report content, formats, and terminology levels for different types of inquirers, it effectively avoids information overload or insufficiency, ensuring that information recipients can obtain the information they need in the most convenient and effective way. This not only optimizes the user experience, but more importantly, it makes the decision-making process based on professional resource readiness more accurate and efficient, enabling more flexible and intelligent adjustments to internet advertising strategies and customer visit arrangements, ultimately improving the overall efficiency and success rate of park investment promotion.

[0079] In some of the embodiments described above in this application, a scheme for constructing contextual explanation reports based on the reporting preferences of the querying party is proposed. However, during its implementation, if the report contains sensitive information, such as detailed equipment configurations, precise environmental parameters, or specific maintenance plans, direct transmission to all querying parties may lead to data leakage or privacy violations. If the above problems are not addressed, it may result in the leakage of core business data, affecting the security of park operations, and even violating data protection regulations. Therefore, this application proposes a scheme to de-identify sensitive information in the contextual explanation report before transmission to ensure information security and compliance.

[0080] When a query for the readiness status of professional resources is received, a contextualized readiness status report is generated based on the contextualized readiness status record. This report includes a readiness score, the reason for the high readiness score, details of approved task plans, estimated recovery time, and recommendations on suitability for the specific task. It also includes: Obtain the permission level of the querying party; Based on the permission level, identify the sensitive information fields in the context explanation report that need to be protected; Based on the permission level and the type of the sensitive information field, the sensitive information is de-identified, and the de-identification process includes: When the sensitive information is numerical data, the scope of the situation explanation report is blurred. When the sensitive information is text-based data, some characters in the context explanation report are replaced or hidden. When the sensitive information is an identifier, the context explanation report is hashed. The de-identified contextual explanation report is transmitted to the querying party.

[0081] Specifically, after generating the context explanation report, the system first obtains the permission level of the party initiating the query. This permission level can be pre-configured in the system and associated with the user's identity information. For example, a business development manager may have a lower permission level, while a senior technical expert or system administrator may have a higher permission level. Based on the obtained permission level, the system identifies which information fields in the context explanation report are defined as sensitive information and need to be protected according to that permission level. For example, detailed equipment maintenance plans, specific environmental parameter thresholds, or customer visit arrangements involving trade secrets may all be identified as sensitive information fields.

[0082] The anonymization of sensitive information is based on its data type and the access level of the querying party. Specifically, when the sensitive information is numerical data, such as precise temperature and humidity readings or equipment uptime, it can be range-blurred. This means replacing precise values ​​with a range, for example, replacing "25.3°C" with "25-26°C," or "uptime 12345 hours" with "uptime exceeding 12000 hours," thus providing useful information without revealing precise data. When the sensitive information is textual data, such as specific maintenance personnel names, detailed fault descriptions, or customer names, partial character replacement or hiding can be performed. For example, replacing "Zhang San" with "*San," or "Customer A Company" with "a certain company," or directly hiding part of the sensitive text content to protect personal privacy or trade secrets. When the sensitive information is an identifier, such as a device serial number, IP address, or user ID, it can be hashed. Hashing is a one-way encryption process that converts the original identifier into a fixed-length, irreversible hash value. In this way, even if the report is obtained by an unauthorized party, the original identifier cannot be deduced from the hash value, thus effectively protecting the security of the identifier. After completing the above de-identification process, the system will transmit the processed contextual explanation report to the querying party.

[0083] This application's solution effectively addresses the risk of sensitive information leakage in contextual explanation reports by introducing access control level management and multi-type de-identification mechanisms. Through these technical solutions, this application significantly enhances the information security capabilities of internet advertising management methods for park investment promotion. Compared to basic solutions that generate reports solely based on query preferences, this application, by introducing access control level identification and multi-dimensional de-identification, effectively avoids the risk of sensitive information leakage during transmission, thereby enhancing data protection compliance. Specifically, by blurring the range of numerical data, precise data is protected while providing a macro-level reference; by partially replacing or hiding characters in textual data, personal privacy and trade secrets are effectively protected; and by hashing identifiers, the irreversibility of the system's unique identifier is ensured. The combination of these additional technical features allows contextual explanation reports to meet the information needs of different query parties while strictly adhering to the principles of data security and privacy protection, providing more secure and reliable information support for park investment promotion activities, and thus enhancing the professionalism and credibility of the entire management system.

[0084] In some of the embodiments described above in this application, the de-identification of sensitive information in the context explanation report is mainly based on the queryer's permission level and the type of sensitive information field. However, the actual risk and activity level of sensitive information are not static, and static de-identification strategies may not be able to adequately adapt to these dynamic changes, resulting in excessively high de-identification strength affecting data availability, or insufficient de-identification strength posing potential security risks.

[0085] In this regard, this application further proposes the following steps for de-identifying sensitive information based on permission level and the type of sensitive information field: Acquire a real-time data stream of the sensitive information, the real-time data stream containing the numerical value, text content, and access frequency of the sensitive information; Based on the real-time data stream, identify the current activity level and access frequency of the sensitive information; The business risk level of the sensitive information is determined based on its importance in a specific business scenario. The intensity of the de-identification process is dynamically adjusted based on the current activity level, the frequency of access, and the business risk level. Adjusting the intensity of the de-identification process includes: When the sensitive information has high activity, high access frequency, and high business risk level, the desensitization intensity should be increased. When the activity level of the sensitive information is low, the access frequency is low, and the business risk level is low, the desensitization intensity should be reduced. The sensitive information is desensitized according to the adjusted desensitization intensity.

[0086] Specifically, acquiring the real-time data stream of the sensitive information refers to the system continuously monitoring and collecting all operational and status data related to the sensitive information. This real-time data stream includes not only the specific numerical values ​​and text content of the sensitive information, but also information on the frequency of its access, modification, or transmission. Through the continuous collection of this real-time data, a comprehensive understanding of the dynamic changes in the sensitive information can be achieved.

[0087] Specifically, identifying the current activity level and access frequency of the sensitive information based on the real-time data stream means that the system quantifies the usage frequency and changes of the sensitive information within a specific time period by analyzing access logs, operation records, etc., in the real-time data stream. High activity level indicates that the information is being used or updated frequently, while high access frequency indicates that it is receiving considerable attention.

[0088] In practical applications, determining the business risk level of sensitive information based on its importance in a specific business scenario involves assessing and classifying the information according to factors such as its criticality in different business processes (e.g., investment attraction, operation management), the potential losses that could result from its leakage, and compliance requirements. For example, information involving customer financial data or undisclosed investment attraction strategies typically carries a higher business risk level.

[0089] Furthermore, the intensity of the de-identification process is dynamically adjusted based on the current activity level, the frequency of access, and the business risk level. This means that the de-identification intensity is no longer fixed, but is intelligently adapted according to the real-time status and inherent risks of the sensitive information.

[0090] Specifically, when the sensitive information has high activity, high access frequency, and high business risk level, the system will increase the de-identification intensity. For example, it will perform broader blurring of numerical data and more thorough character replacement or hiding of text data to maximize information security. Conversely, when the sensitive information has low activity, low access frequency, and low business risk level, the system will reduce the de-identification intensity. For example, it will perform only slight blurring or partial character replacement to improve data usability and readability while ensuring security. Finally, based on the adjusted de-identification intensity, the sensitive information will be de-identified to ensure that the de-identification effect matches the actual needs.

[0091] This application's solution, by introducing the acquisition and analysis of real-time data streams of sensitive information, can dynamically identify the current activity level, access frequency, and business risk level of sensitive information in specific business scenarios. It is precisely this comprehensive consideration of these dynamic factors that allows the system to overcome the limitations of traditional static de-identification strategies. By combining real-time status with inherent risks, the system can intelligently determine the required de-identification intensity, thereby avoiding reduced data availability due to over-identification and effectively preventing security risks caused by insufficient de-identification. This dynamic adjustment mechanism ensures the accuracy and adaptability of the de-identification process, enabling sensitive information to receive appropriate protection in different contexts.

[0092] Through the above technical solution, this application achieves dynamic and intelligent desensitization of sensitive information. Compared to static desensitization based solely on permission levels and data types, this solution can precisely adjust the desensitization intensity according to the real-time activity, access frequency, and business risk level of sensitive information. Therefore, it not only provides a higher level of security protection for highly active, high-risk sensitive information, effectively reducing the risk of data leakage, but also avoids unnecessary over-desensitization of low-activity, low-risk information, thereby maximizing data availability and business efficiency while ensuring data security. This adaptive desensitization mechanism significantly enhances the flexibility and effectiveness of data protection, better balancing data security and business needs.

[0093] In some embodiments described above, this application proposes a scheme for de-identifying sensitive information in a contextual explanation report based on access levels and sensitive information types. However, in its implementation, traditional de-identification methods often focus only on protecting the sensitive information itself, neglecting the potential logical connections between sensitive and non-sensitive information. For example, when a sensitive numerical data is range-blurred, its correlation with other non-sensitive timestamps, spatial coordinates, or related numerical ranges in the report may be disrupted. This results in the de-identified report protecting sensitive information but losing some contextual integrity and logical consistency between data, thus affecting the report's usability and accuracy. If these problems are not addressed, recipients may misunderstand the de-identified report or even be unable to effectively utilize the information for decision-making. Therefore, this application further proposes a method that can identify and maintain the logical connections between sensitive and non-sensitive information during the de-identification process to ensure the integrity and usability of the de-identified report.

[0094] In response, this application further proposes a step for de-identifying the sensitive information based on the permission level and the type of the sensitive information field, including: Retrieve all information fields from the context explanation report, including sensitive information fields and non-sensitive information fields; Identify the logical relationship between the sensitive information field and the non-sensitive information field; Based on the permission level and the type of the sensitive information field, the sensitive information is initially de-identified; After the initial desensitization process, assess whether the logical association between the sensitive information field and the non-sensitive information field has been disrupted; When the logical association is broken, the association of the initially desensitized sensitive information is adjusted according to the type of the logical association and the content of the non-sensitive information field. The association adjustment includes: When the logical association is a time-series association, adjust the timestamp of the desensitized sensitive information to make it consistent with the timestamp of the non-sensitive information; When the logical association is a spatial location association, the spatial coordinates of the desensitized sensitive information are adjusted to be consistent with the spatial coordinates of the non-sensitive information. When the logical association is a numerical range association, the numerical range of the desensitized sensitive information is adjusted to be consistent with the numerical range of the non-sensitive information. Based on the sensitive information adjusted according to the logical association, the context explanation report is generated.

[0095] Specifically, obtaining all information fields in the context explanation report means that before performing anonymization, the system first parses the entire context explanation report, identifies all data items contained in the report, and distinguishes them into sensitive information fields and non-sensitive information fields. Sensitive information fields refer to data that needs to be protected according to the queryer's permission level, such as specific device numbers, precise geographical locations, and specific maintenance costs; non-sensitive information fields refer to data that does not require special protection but has a logical connection with sensitive information, such as the approximate time of the event, region name, and device type.

[0096] Furthermore, identifying the logical relationships between sensitive and non-sensitive information fields refers to the system analyzing the inherent connections between different information fields in the report using a pre-defined rule base, semantic analysis, or machine learning model. For example, the specific maintenance cost of a device may have a time-series correlation with the time when maintenance occurs, or the precise location of a device may have a spatial correlation with the area name of the park where it is located. Identifying these logical relationships is the basis for subsequent correlation adjustments.

[0097] The initial desensitization process, based on access levels and the type of sensitive information fields, can be understood as applying the existing desensitization strategies described above to perform preliminary protective processing on the identified sensitive information fields. This includes, for example, blurring the range of numerical data, partially replacing or hiding characters in text data, and hashing identifiers. This step aims to initially protect the sensitive information.

[0098] In practical applications, after initial anonymization, assessing whether the logical relationship between sensitive and non-sensitive information fields has been disrupted refers to the system re-checking the logical consistency between sensitive and non-sensitive information after the initial anonymization is complete. For example, if the maintenance time of a device is obfuscated to "this month," while its associated maintenance cost is obfuscated to "high," but the original data shows that this cost occurred "last month," it indicates that the time-series relationship may have been disrupted. This assessment can be achieved by comparing changes in the logical relationship between the data before and after anonymization, using preset logical verification rules, or through data integrity check algorithms.

[0099] When the logical association is broken, the association adjustment is performed on the initially desensitized sensitive information based on the type of the logical association and the content of the non-sensitive information field. Specifically, the association adjustment is a customized correction for different types of logical associations. For example, when the logical association is a time series association, if the timestamp of the desensitized sensitive information is inconsistent with the timestamp of the non-sensitive information, the timestamp of the desensitized sensitive information needs to be adjusted to be consistent with the timestamp of the non-sensitive information to ensure that the chronological order and association of events are not broken. When the logical association is a spatial location association, if the spatial coordinates of the desensitized sensitive information are inconsistent with the spatial coordinates of the non-sensitive information, the spatial coordinates of the desensitized sensitive information need to be adjusted to be consistent with the spatial coordinates of the non-sensitive information to ensure the rationality of the geographical location information. When the logical association is a numerical range association, if the numerical range of the desensitized sensitive information is inconsistent with the numerical range of the non-sensitive information, the numerical range of the desensitized sensitive information needs to be adjusted to be consistent with the numerical range of the non-sensitive information to ensure the logical relationship between the values, such as the association between the performance index of a device and its operating environment temperature.

[0100] Finally, based on the adjusted sensitive information according to the logical relationships, the contextual explanation report is generated. This means that after all the necessary desensitization and relational adjustments are completed, the system will generate a contextual explanation report that both protects sensitive information and maintains the integrity of the data logic, for the querying party to use.

[0101] This application's solution effectively addresses the problem of compromised data context integrity that traditional anonymization methods may cause by introducing an evaluation and adjustment mechanism for the logical relationships between sensitive and non-sensitive information fields after initial anonymization. Through this technical solution, the application effectively resolves the issue of disrupted logical relationships between sensitive and non-sensitive information in traditional anonymization processes. Compared to basic anonymization solutions that only perform simple anonymization, this application, by introducing a mechanism for identifying, evaluating, and adjusting logical relationships, ensures that the anonymized contextual explanation report maintains the inherent logical consistency and contextual integrity of the data while protecting sensitive information. This allows recipients to obtain not only the protected sensitive information but also an accurate understanding of the relationship between this information and non-sensitive data when receiving the anonymized report, thus avoiding misunderstandings and decision-making errors caused by information distortion or missing context. This solution significantly improves the usability, accuracy, and credibility of the anonymized report, providing safer and more reliable data support for internet advertising management in industrial park investment promotion.

[0102] In some of the embodiments described above in this application, a scheme for de-identifying sensitive information based on permission levels and the type of sensitive information fields was proposed. However, in practical applications, different business domains and target systems may have significantly different protection needs and information granularity requirements for sensitive information. If a single de-identification strategy is adopted, data may be over-identified in some scenarios, resulting in the loss of business value, or under-identified in other scenarios, posing security risks. This is especially true when data needs to be shared with multiple systems with different trust levels and usage purposes, making it difficult to balance data security and data availability.

[0103] In response, this application further proposes a scheme for de-identifying the sensitive information based on the permission level and the type of the sensitive information field, which includes: Obtain the sensitive information to be de-identified and its corresponding business domain identifier; Based on the business domain identifier, obtain a list of shared target systems related to the business domain and the required information granularity for each target system; Generate a globally unique and irreversible anonymized identifier for the sensitive information; Based on the shared target system list and the information granularity requirements, the sensitive information undergoes hierarchical desensitization processing, which includes: For sensitive information that needs to be transmitted to an external investment promotion and cooperation system, the numerical data of the sensitive information is processed into intervals, the text data is replaced with semantically preserved data, and then bound to the anonymization identifier. For sensitive information that needs to be transmitted to the park's internal operation and management system, the numerical data of the sensitive information is processed to reduce its precision, the text data is extracted for keywords, and then bound to the anonymization identifier. The sensitive information after hierarchical desensitization is stored together with the anonymization identifier, and a mapping relationship between the anonymization identifier and the sensitive information is established. The mapping relationship can only be accessed by authorized internal audit systems.

[0104] Specifically, obtaining the sensitive information to be de-identified and its corresponding business domain identifier means that before processing sensitive information, the system first identifies the specific business category to which the information belongs, such as "financial data," "customer contact information," or "project progress report." The introduction of the business domain identifier allows subsequent de-identification strategies to more accurately match the data security and compliance requirements specific to that business domain.

[0105] Specifically, based on the business domain identifier, obtaining a list of shared target systems related to that business domain and the required information granularity for each target system can be understood as the system querying a pre-defined configuration or policy library based on the business attributes of sensitive information to determine which external or internal systems might need to receive that information, and the level of detail and format requirements for that information for each target system. For example, an external investment promotion collaboration system might only need vague geographic information and industry category of the client, while an internal operations management system might need more precise client size data.

[0106] In practical applications, a globally unique and irreversible anonymization identifier is generated for sensitive information. For example, a cryptographic hash function (such as SHA-256) can be used to process the original sensitive information or a specific combination thereof, generating a fixed-length string that cannot be reversed to derive the original information. The purpose of this anonymization identifier is to provide a traceable and unique reference to the desensitized data without exposing the original sensitive information, so that it can be associated and verified in authorized internal audit scenarios.

[0107] Furthermore, the core of this solution lies in the tiered anonymization of sensitive information based on the shared target system list and information granularity requirements. Specifically, for sensitive information that needs to be transmitted to external investment cooperation systems, the anonymization intensity is higher because external systems typically have lower trust levels. Numerical data can be range-divided, for example, processing a specific sales amount of "1,234,567 yuan" into "1 million - 1.5 million yuan"; textual data undergoes semantically preserved replacement, for example, replacing "Zhang San, phone number 138xxxx8888" with "a certain customer, contact information has been anonymized," ensuring information usability while hiding specific details. Simultaneously, this anonymized information is bound to anonymized identifiers for internal traceability when necessary.

[0108] For sensitive information that needs to be transmitted to the park's internal operation and management system, the anonymization intensity can be appropriately reduced because the internal system typically has a high level of trust and requires a certain level of data accuracy. Numerical data can be processed by reducing its precision, for example, processing "1,234,567 yuan" into "1.23 million yuan"; textual data undergoes keyword extraction, for example, extracting keywords such as "high service satisfaction" and "stable product performance" from a customer feedback passage, rather than the complete original text. Similarly, this processed information is also bound to anonymization tags.

[0109] Finally, the sensitive information, after being anonymized and graded, is stored together with the anonymized identifier, and a mapping relationship between the anonymized identifier and the sensitive information is established. This mapping relationship is only accessible to authorized internal audit systems. This ensures that the original sensitive information is fully protected during data sharing and use, while the anonymized identifier and restricted mapping relationship provide the necessary traceability capabilities for internal compliance audits, achieving a fine balance between data security and business needs.

[0110] This application's solution achieves tiered anonymization of sensitive information by introducing business domain identifiers, a shared target system list, information granularity requirements, and globally unique and irreversible anonymization identifiers. This allows the system to dynamically adjust the anonymization strategy and intensity based on different data recipients (such as external investment promotion collaboration systems and internal operation management systems) and their specific information needs. By employing stricter intervalization and semantically preserved replacement for external systems, and reducing precision and extracting keywords for internal systems, this solution effectively balances data security and data availability. Simultaneously, the introduction of anonymization identifiers and their mapping relationship with the original sensitive information provides necessary traceability capabilities for internal auditing, ensuring the compliance of data processing.

[0111] The above technical solution effectively addresses the challenge of balancing data security and availability in multi-business scenarios using traditional single-level anonymization strategies. This solution significantly improves the security of sensitive information when it flows between different target systems through refined, tiered anonymization, reducing the risk of data leakage while maximizing the preservation of data's business value. Furthermore, the use of anonymization tags protects privacy and provides reliable technical support for data auditing and compliance checks, enhancing the robustness and credibility of the entire data management system.

[0112] refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of an internet advertising management system for investment promotion in industrial parks, provided by an embodiment of the present invention, including: The input terminal is used to acquire the operational status information of professional resources, which includes environmental parameters, equipment operation status, visual status, and maintenance plan. The evaluation end is used to evaluate the readiness status of the professional resources based on the operational status information and generate a readiness indication; The adjustment terminal is used to adjust the promotion activities of the professional resources according to the readiness instructions, the promotion activities including advertising strategies and customer visit arrangements.

[0113] This system, through its modular design, integrates core functions such as acquiring operational status information of professional resources, assessing their readiness, and adjusting promotional activities. The input end is responsible for comprehensively and in real-time collecting various operational data from professional resources; the assessment end uses this data to intelligently determine resource availability; and finally, the adjustment end dynamically optimizes the park's investment promotion strategy based on the assessment results. This closely collaborative system architecture aims to solve the information asymmetry problem in traditional investment promotion models, ensuring a high degree of alignment between advertising and the actual readiness of professional resources, thereby improving the accuracy and efficiency of investment promotion.

[0114] In some embodiments of this application, the aforementioned internet advertising management system for park investment promotion achieves refined management of the readiness status of professional resources and intelligent adjustment of promotional activities through its specific component configuration.

[0115] Specifically, the system's input terminals are configured to acquire operational status information of professional resources. This operational status information encompasses environmental parameters, equipment operating conditions, visual status, and maintenance plans. The specific methods for acquiring this operational status information have already been described in the above embodiments and will not be repeated here. It is important to emphasize that the input terminal can be a collection of one or more data acquisition modules. For example, it may include an interface module directly connected to various sensors (such as temperature and humidity sensors, cleanliness sensors, vibration sensors, etc.) for real-time reception of environmental parameter data; a communication module interfaced with a professional equipment control system or IoT platform for acquiring equipment operating status, load status, and fault alarm information; a video stream processing module for receiving and initially processing visual data from surveillance cameras; and the input terminal may also integrate a data synchronization interface with a park facility management system or maintenance scheduling system to obtain maintenance plans periodically or in real-time. These modules work together to ensure the comprehensiveness, accuracy, and real-time nature of the professional resource operational status information.

[0116] The evaluation unit is configured to assess the readiness status of the professional resources based on the operational status information and generate a readiness indicator. The evaluation unit can be one or more processing units, internally integrating preset evaluation logic and algorithms. For example, the evaluation unit can receive various operational status data from the input end and compare them with predefined readiness standards. These standards may include threshold ranges for environmental parameters, normal operating indicators of equipment, compliance requirements for visual status, and conflict detection rules for maintenance plans. Through comprehensive analysis of these multi-dimensional data, the evaluation unit determines whether the professional resources are ready for immediate use or meet specific investment promotion and display requirements. For example, when all environmental parameters are within normal ranges, core equipment is operating stably, and there are no upcoming maintenance tasks, the evaluation unit will determine that the resource is in a "ready" state. After the evaluation is completed, the evaluation unit will generate a corresponding readiness indicator, which can be a simple status identifier (such as "ready" / "not ready") or a data structure containing a detailed evaluation report to guide subsequent promotional activities.

[0117] The adjustment module is configured to adjust the promotional activities of the professional resource based on the readiness indicator. These activities include advertising strategies and customer visit arrangements. The adjustment module can be one or more decision-making and execution modules. Upon receiving the readiness indicator generated by the evaluation module, the adjustment module adjusts the promotional activities according to preset strategy rules. For example, if the readiness indicator shows the professional resource is in a "ready" state, the adjustment module can trigger the interface of the advertising system to increase the advertising budget for that resource, expand advertising channels, or optimize advertising content to attract more potential customers. Simultaneously, the adjustment module can also interact with a customer relationship management (CRM) system or a business development schedule management system to prioritize customer visits to the resource. Conversely, if the readiness indicator shows the professional resource is in a "not ready" state, the adjustment module will correspondingly reduce or suspend the relevant advertising and adjust the scheduled customer visit plan, such as suggesting postponement or recommending alternative resources, to avoid negative customer experiences due to resource unavailability. Through this intelligent response mechanism, the adjustment module ensures that the promotional activities remain synchronized with the actual availability of the professional resource.

[0118] The core innovation of the internet advertising management system for industrial park investment promotion proposed in this application lies in the construction of an intelligent platform integrating information acquisition, status assessment, and activity adjustment. This effectively solves the problem of disconnect between advertising and the actual readiness status of professional resources in existing technologies. Traditional industrial park investment promotion systems often only provide information on the physical availability of professional resources, failing to reflect their complex operational readiness status and internal maintenance schedules in real time and comprehensively. This information limitation leads to a lack of accurate judgment on the true availability of resources when investment promotion departments formulate promotion strategies and arrange customer visits, resulting in wasted advertising investment and a decline in customer experience.

[0119] This application's system, through the collaborative work of its input, evaluation, and adjustment ends, achieves refined perception and dynamic management of the operational status of professional resources. The input end comprehensively acquires multi-dimensional data such as environmental parameters, equipment operating status, visual conditions, and maintenance plans; the evaluation end performs intelligent analysis based on this data to accurately determine the resource's readiness status; and the adjustment end optimizes advertising strategies and customer visit arrangements in real time based on the evaluation results. For example, when a high-precision optical testing laboratory is temporarily unavailable due to equipment maintenance, this application's system can promptly identify this "disready" state and automatically adjust related advertising and visit arrangements, avoiding the embarrassing situation of potential customers encountering unavailable resources upon their visit. This systematic solution, compared to existing technologies that rely on manual judgment and static information management, significantly improves the accuracy, efficiency, and customer satisfaction of investment promotion, effectively maintaining the park's professional image and market reputation.

[0120] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for managing internet advertising aimed at attracting investment to industrial parks, characterized in that: include: Obtain operational status information of professional resources, including environmental parameters, equipment operating status, visual status, and maintenance plans; Based on the operational status information, assess the readiness status of the professional resources and generate a readiness indication; In accordance with the readiness instructions, adjust the promotional activities of the professional resources, which include advertising strategies and client visit arrangements.

2. The internet advertising management method for investment promotion in industrial parks according to claim 1, characterized in that, The process of assessing the readiness status of the professional resources based on the acquired operational status information and generating a readiness indication includes: Continuously collect real-time data streams from the aforementioned professional resources; Spectral features are extracted from the real-time data stream; The spectral features are matched with pre-stored interference source features based on similarity. Calculate the interference index based on the matching results; Based on the interference index, the readiness assessment results of the professional resources are adjusted, and the readiness indication is generated.

3. The internet advertising management method for investment promotion in industrial parks according to claim 1, characterized in that, The adjustment of the promotion activities of the professional resources according to the readiness instruction includes: Obtain a task plan statement that defines the task type, estimated start time, estimated end time, standard components to be removed, a list of non-standard components to be installed, and the range of environmental parameter adjustments that may be involved during the task. The task plan declaration is approved, and the approved task plan is stored after approval. When it is detected that the professional resource has an ongoing approved task plan, the task-related components in the professional resource are identified according to the list of non-standard components in the approved task plan. The environmental assessment thresholds of the professional resources are adapted to the range of environmental parameters declared in the approved mission plan. Based on the adapted environmental assessment threshold and the identification results of the task-related components, the readiness score of the professional resources is calculated, and the detailed information of the approved task plan is associated with the readiness score and stored as a contextualized readiness status record. When a query for the readiness status of the professional resources is received, a contextualized readiness status record is generated, which includes the readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and a contextual explanation report on the applicability of the specific task. Transmit the situation explanation report.

4. The internet advertising management method for investment promotion in industrial parks according to claim 3, characterized in that, When a query for the readiness status of the professional resources is received, a contextualized readiness status record is generated, including the readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and suitability recommendations for the specific task. When the approved task plan changes, the report update process is triggered; Identify the generated contextual explanation reports that have been affected by the changes; Based on the latest approved mission plan information, the generated scenario explanation report affected by the changes is regenerated. The regenerated report updates the estimated recovery time, the standard components to be removed, the list of non-standard components to be installed, and the suitability recommendations for the specific mission. Maintain the version control record for the report; When a query for the readiness status of the professional resource is received, the latest contextual explanation report is matched according to the version control record. Transmit the latest situation explanation report.

5. The internet advertising management method for investment promotion in industrial parks according to claim 4, characterized in that, When a query for the readiness status of the professional resources is received, a contextualized readiness status record is generated, including the readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and suitability recommendations for the specific task. Obtain the identity information of the person making the query and the type of query; Based on the identity information, the report preference settings of the querying party are retrieved, which include the level of report detail, the level of technical terminology, and the information presentation format. Information is extracted from the contextualized readiness state record based on the reported preference settings; Based on the reported preference settings, the context explanation report is constructed, and the constructed context explanation report includes: When the querying party is an automated system, a structured data format is selected, and the report is restricted to critical readiness scores and core mission status codes; When the querying party is an investment manager, select a report format that includes summary information and business impact analysis, and use commonly used business terminology; When the querying party is a senior technical expert, select a report format that includes detailed technical parameters, environmental fluctuation data, and equipment configuration details, and use technical terminology.

6. The internet advertising management method for investment promotion in industrial parks according to claim 5, characterized in that, When a query for the readiness status of the professional resources is received, after generating a contextualized readiness status report containing the readiness score, the reason for the readiness score, details of the approved task plan, estimated recovery time, and suitability recommendations for the specific task, based on the contextualized readiness status record, the report further includes: Obtain the permission level of the querying party; Based on the permission level, identify the sensitive information fields in the context explanation report that need to be protected; Based on the permission level and the type of the sensitive information field, the sensitive information is de-identified, and the de-identification process includes: When the sensitive information is numerical data, the scope of the situation explanation report is blurred. When the sensitive information is text-based data, some characters in the context explanation report are replaced or hidden. When the sensitive information is an identifier, the context explanation report is hashed. The de-identified contextual explanation report is transmitted to the querying party.

7. The internet advertising management method for investment promotion in industrial parks according to claim 6, characterized in that, The step of de-identifying the sensitive information according to the permission level and the type of the sensitive information field includes: Acquire a real-time data stream of the sensitive information, the real-time data stream containing the numerical value, text content, and access frequency of the sensitive information; Based on the real-time data stream, identify the current activity level and access frequency of the sensitive information; The business risk level of the sensitive information is determined based on its importance in a specific business scenario. The intensity of the de-identification process is dynamically adjusted based on the current activity level, the frequency of access, and the business risk level. Adjusting the intensity of the de-identification process includes: When the sensitive information has high activity, high access frequency, and high business risk level, the desensitization intensity should be increased. When the activity level of the sensitive information is low, the access frequency is low, and the business risk level is low, the desensitization intensity should be reduced. The sensitive information is desensitized according to the adjusted desensitization intensity.

8. The internet advertising management method for investment promotion in industrial parks according to claim 6, characterized in that, The step of de-identifying the sensitive information according to the permission level and the type of the sensitive information field includes: Retrieve all information fields from the context explanation report, including sensitive information fields and non-sensitive information fields; Identify the logical relationship between the sensitive information field and the non-sensitive information field; Based on the permission level and the type of the sensitive information field, the sensitive information is initially de-identified; After the initial desensitization process, assess whether the logical association between the sensitive information field and the non-sensitive information field has been disrupted; When the logical association is broken, the association of the initially desensitized sensitive information is adjusted according to the type of the logical association and the content of the non-sensitive information field. The association adjustment includes: When the logical association is a time-series association, adjust the timestamp of the desensitized sensitive information to make it consistent with the timestamp of the non-sensitive information; When the logical association is a spatial location association, the spatial coordinates of the desensitized sensitive information are adjusted to be consistent with the spatial coordinates of the non-sensitive information. When the logical association is a numerical range association, the numerical range of the desensitized sensitive information is adjusted to be consistent with the numerical range of the non-sensitive information. Based on the sensitive information adjusted according to the logical association, the context explanation report is generated.

9. The internet advertising management method for investment promotion in industrial parks according to claim 6, characterized in that, The step of de-identifying the sensitive information according to the permission level and the type of the sensitive information field includes: Obtain the sensitive information to be de-identified and its corresponding business domain identifier; Based on the business domain identifier, obtain a list of shared target systems related to the business domain and the required information granularity for each target system; Generate a globally unique and irreversible anonymized identifier for the sensitive information; Based on the shared target system list and the information granularity requirements, the sensitive information undergoes hierarchical desensitization processing, which includes: For sensitive information that needs to be transmitted to an external investment promotion and cooperation system, the numerical data of the sensitive information is processed into intervals, the text data is replaced with semantically preserved data, and then bound to the anonymization identifier. For sensitive information that needs to be transmitted to the park's internal operation and management system, the numerical data of the sensitive information is processed to reduce its precision, the text data is extracted for keywords, and then bound to the anonymization identifier. The sensitive information after hierarchical desensitization is stored together with the anonymization identifier, and a mapping relationship between the anonymization identifier and the sensitive information is established. The mapping relationship can only be accessed by authorized internal audit systems.

10. An internet advertising management system for investment promotion in industrial parks, characterized in that: include: The input terminal is used to acquire the operational status information of professional resources, which includes environmental parameters, equipment operation status, visual status, and maintenance plan. The evaluation end is used to evaluate the readiness status of the professional resources based on the operational status information and generate a readiness indication; The adjustment terminal is used to adjust the promotion activities of the professional resources according to the readiness instructions, the promotion activities including advertising strategies and customer visit arrangements.

Images