Gate security interaction system based on humanoid robot

Abstract

The application discloses a gate guard security interaction system based on a humanoid robot and relates to the technical field of intelligent security.The system quantitatively calculates the security processing priority of a visitor based on multi-dimensional indexes, dynamically adjusts the weight in combination with a security efficiency conversion factor; through the interaction frequency and the security credibility score of the visitor, the visitor is divided into three types of objects, namely, temporary attention, regular security and credible security, and the historical interaction proportion is analyzed to optimize resource allocation; when the visitor initiates a request, the system combines the security level, the current risk emergency degree and the historical processing signal of the visitor, calculates a response value through a differentiated formula, and allocates the security check sequence according to the high-risk priority principle by the robot; the priority threshold value is dynamically updated through closed-loop data such as compliance feedback and risk exclusion signals, and a continuous iteration mechanism of evaluation-execution-optimization is formed. The system improves the risk identification accuracy, balances the security and the passing efficiency, and is suitable for the intelligent security upgrade of high-traffic scenes such as parks and office buildings.

Description

Technical Field

[0001] This invention belongs to the technical field, specifically relating to a gate security interactive system based on a humanoid robot. Background Technology

[0002] With increasing societal security needs and the development of intelligent technologies, gate security systems are gradually evolving from traditional manual verification to automation and intelligence. Currently, gate security primarily relies on manual identity verification and item inspection, or uses automated equipment with fixed procedures (such as turnstiles and metal detectors), but this presents the following technical bottlenecks: Limitations of static processes: Traditional automated security systems typically use fixed thresholds or single rules to process visitor requests (e.g., all visitors must complete a full security check), making it impossible to dynamically adjust security strategies based on visitor history and risk level. For example, frequent visitors with no violation records still need to undergo a complete check repeatedly, while simplified processes for low-trust visitors may lead to security vulnerabilities.

[0003] Inefficient data utilization: While existing systems can record visitor interaction data (such as authentication counts and security check durations), they lack in-depth analysis of historical data, making it difficult to uncover the correlation between visitor behavior patterns and security risks. For example, the system cannot predict the potential risk of current visitors based on the number of historical alert triggers, leading to inefficient resource allocation.

[0004] The challenge of balancing security and efficiency: In high-traffic scenarios (such as parks and office buildings), manual or fixed-process security checks can easily lead to queues and congestion, while overly simplified processes may trigger security incidents. Existing technologies lack dynamic priority allocation mechanisms, making it impossible to respond quickly to high-risk events while ensuring efficient passage for low-risk visitors.

[0005] Lack of feedback mechanism: Traditional systems lack a closed-loop feedback mechanism after security checks are completed, making it impossible to optimize subsequent strategies based on actual processing results (such as false alarm elimination and process compliance). For example, if a visitor repeatedly triggers manual verification due to inconvenience in biometric data collection, the system cannot automatically adjust the data collection method to reduce subsequent interaction time. Solutions to this technical problem.

[0006] To address the aforementioned issues, this technical solution proposes a gate security interactive system based on a humanoid robot. Summary of the Invention

[0007] To overcome the shortcomings and deficiencies of the existing technology, the present invention adopts the following technical solution: A humanoid robot-based gate security interaction system, including Data acquisition and storage module: used to acquire and store visitor security interaction data and security processing result data within the first evaluation period; Security processing priority calculation module: used to analyze security interaction data and security processing result data, and calculate the security processing priority of each visitor request; Visitor security type classification module: responsible for obtaining the frequency of security interactions and security trustworthiness scores of visitors, analyzing the two and classifying the visitor security type according to the results, and entering the data into the visitor security level database; Security Type Interaction Ratio Analysis Module: This module reads the visitor's historical security interaction database, obtains and analyzes historical security interaction data, and calculates the interaction ratio of visitors with different security types. Security response priority calculation and processing order allocation module: When a visitor initiates a security interaction request, this module is responsible for calculating the security response priority value of each interaction request and allocating the security check processing order to the robot.

[0008] Feedback data processing and priority update module: Used to acquire feedback data from visitor security interactions, analyze the feedback data, and update the security response priority value.

[0009] Preferably, the system workflow is as follows: Step 1: Obtain visitor security interaction data and security processing result data from the historical records within the first assessment period, and enter them into the visitor security interaction database; security interaction data includes the number of identity verifications, average security check duration, and number of biometric comparisons; security processing result data includes the number of biometric verifications passed, the number of security alarms triggered, and the number of manual reviews. Step 2: Analyze the security interaction data and security processing result data, and calculate the security processing priority of each visitor request using a preset security priority analysis formula; Step 3: Obtain the frequency of security interactions and security trustworthiness scores of visitors, classify visitor security types based on preset threshold comparison rules, and enter them into the visitor security level database. Step 4: Read the visitor's historical security interaction database, analyze the historical security interaction data, and obtain the interaction ratio of visitors of different security types; Step 5: When a visitor initiates a security interaction request, obtain the security processing priority, security risk urgency and visitor security level, calculate the security response priority value through a preset priority formula, and assign a security check processing order to the robot; Step 6: Obtain feedback data from visitor security interactions and update the security response priority value based on the feedback signal type.

[0010] Preferably, the security interaction data acquisition in step one includes: timing the entire process from visitor identity verification to security check completion, comparing the interaction time with a first security time threshold, and outputting invalid or valid security signals; marking the time corresponding to invalid security signals as invalid security time and triggering manual review, marking the time corresponding to valid security signals as valid security check time, and calculating the average security check time using an average valid security check time algorithm.

[0011] Preferably, the security priority analysis formula in step two is configured as follows: the security processing priority is calculated by taking the number of biometric verification passes, average security check time, number of identity verifications, and number of security alarms triggered as input parameters and combining them with the security efficiency conversion coefficient; wherein, the average security check time is negative to reflect the positive correlation between security risk and time, and the number of security alarms triggered is configured as the negative indicator with the highest weight.

[0012] Preferably, the visitor security type classification in step three includes: The security credibility score is compared with the first security threshold and the second security threshold, and a temporary security concern signal, a regular security signal or a priority security signal is output. For visitors who output priority security signals, the frequency of security interactions is further compared with the first security interaction threshold, and a regular security signal or a trusted visitor signal is output. For visitors who output regular security signals, the frequency of security interactions is further compared with the second security interaction threshold, and a temporary security concern signal or a priority security signal is output. Visitors are ultimately categorized into temporary security concerns, regular security concerns, or trusted security concerns and entered into the database.

[0013] Preferably, the historical data analysis in step four includes: Obtain historical security cases similar to the current visitor's request, mark the cases with the lowest security risk and the highest efficiency as benchmark security cases, and extract the benchmark security duration; Based on the baseline security duration, the processing time range of the regular security level is set, and the actual security check time of the current visitor is compared with the range to output a fast security processing signal, a regular security processing signal, or an enhanced security processing signal. Count the number of signals processed for each type and label visitors as low-risk demand type, standard-risk demand type, or high-risk demand type; Calculate the interaction ratio among temporary security focus objects, regular security objects, and trusted security objects.

[0014] Preferably, the calculation of the security response priority value in step five includes: Choose the enhanced security priority formula, standard security priority formula, or simplified security priority formula based on the visitor's security level. The enhanced security priority formula uses the following parameters: security type interaction ratio, security risk urgency, risk amplification coefficient, baseline security duration, security response coefficient, and security processing priority. The standard safety priority formula uses the median value of the safety risk urgency range as a parameter; The simplified safety priority formula uses the efficiency coefficient as a parameter; Finally, security checks are assigned in descending order of priority value.

[0015] Preferably, the feedback data update in step six includes: Monitor whether visitors complete the entire security interaction process and output compliance pass signal or security abnormality signal; Obtain a compliance feedback score for the security process, compare it with the security satisfaction threshold, and output a high compliance signal or a low compliance signal; Whether the risk has been eliminated by obtaining the security processing result, output a risk elimination signal or a risk retention signal; Adjust security response priority values ​​according to signal type: reduce priority values ​​for security anomaly signals, and increase priority values ​​for compliance pass signals, high compliance signals, and risk elimination signals.

[0016] Preferably, during the feedback data update, a security anomaly signal triggers subsequent enhanced inspection, a low compliance signal triggers process optimization, and a risk retention signal triggers secondary processing; the priority value adjustment range is controlled by preset first security enhancement threshold, second security enhancement threshold, third security enhancement threshold, and security reduction threshold; Preferably, the method further includes: filtering or manually confirming outliers during the data collection process; setting dynamic verification rules for trusted and secure objects, triggering a biometric verification once every N accesses; setting manual verification trigger conditions, including invalid security signals, low compliance signals, and risk retention signals; and establishing a dynamic threshold adjustment mechanism to regularly update security level and priority parameters.

[0017] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. This invention uses a multi-dimensional data collection and hierarchical classification mechanism, combined with a security priority formula to quantify risks, to achieve key control of high-risk visitors and reasonable simplification of procedures for low-risk visitors. This avoids the inefficiency of a one-size-fits-all security check and can accurately identify potential security risks, reducing the risk of missed or false detections.

[0018] 2. This invention utilizes historical data modeling and dynamic priority calculation. The system can intelligently allocate the robot security check order based on factors such as visitor risk level and urgency, prioritizing high-risk or urgent requests and reducing unnecessary waiting time. Simultaneously, it simplifies processes for trusted visitors and strengthens checks for temporary visitors, improving overall passage efficiency while ensuring security and achieving optimal allocation of security resources.

[0019] 3. This invention dynamically updates security response priority values ​​based on compliance feedback and risk mitigation results following visitor interactions, forming a closed loop of data collection, analysis and decision-making, execution feedback, and parameter optimization. This self-iterative capability allows the system to continuously adapt to changes in the gatekeeper scenario, thereby continuously improving the adaptability and effectiveness of security strategies and reducing the cost of manual intervention. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 The block diagram of the gate security interactive system based on a humanoid robot of the present invention is shown; Figure 2 A flowchart of the system of the present invention is shown; Figure 3 A flowchart of step three of the present invention is shown. Detailed Implementation

[0022] 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.

[0023] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more exemplary embodiments. Numerous specific details are provided in the following description to give a full understanding of exemplary embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced with one or more of the specific details omitted, or other methods, components, steps, etc., can be employed. In other instances, well-known structures, methods, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0024] Example 1 See Figure 1 As shown, the humanoid robot-based gate security interactive system of this embodiment includes... Data acquisition and storage module: used to acquire and store visitor security interaction data and security processing result data within the first evaluation period; The security processing priority calculation module analyzes security interaction data and security processing result data to calculate the security processing priority for each visitor request. Using a security priority analysis formula, it calculates the security processing priority based on parameters such as the number of successful biometric verifications, average security check time, number of identity verifications, and number of security alarm triggers, combined with a security efficiency conversion coefficient. Specifically, the number of successful biometric verifications is a positive indicator; the average security check time is negative because security risk is positively correlated with time; the number of identity verifications reflects the pass rate; and the number of security alarm triggers is a negative indicator with a higher weight than other parameters.

[0025] Visitor security type classification module: responsible for obtaining the frequency of security interactions and security trustworthiness scores of visitors, analyzing the two, classifying the visitor security type according to the results, and entering the data into the visitor security level database.

[0026] Security Type Interaction Ratio Analysis Module: This module reads the visitor's historical security interaction database, obtains and analyzes historical security interaction data, and obtains the interaction ratio of visitors of different security types.

[0027] Security response priority calculation and processing order allocation module: When a visitor initiates a security interaction request, this module is responsible for calculating the security response priority value of each interaction request and allocating the security check processing order to the robot.

[0028] Feedback data processing and priority update module: Used to acquire feedback data (including security compliance feedback) from visitor security interactions, analyze the feedback data, and update the security response priority value.

[0029] The beneficial effects of this embodiment are as follows: intelligent upgrade of gate security is achieved through multi-module collaboration; data-driven decision-making improves the accuracy of risk assessment; dynamic security level classification and priority calculation optimize resource allocation and balance security and efficiency; historical case matching and feedback closed-loop mechanism continuously optimize strategies and enhance system adaptability; humanoid robots, as execution terminals, improve interaction efficiency and user experience, providing efficient and flexible solutions for intelligent security.

[0030] Example 2: See Figure 2 As shown in the figure, the workflow of the humanoid robot-based gate security interaction system in this embodiment is as follows: Step 1: Obtain visitor security interaction data and security processing result data from the historical records within the first assessment period, and enter them into the visitor security interaction database.

[0031] S11. Obtain visitor security interaction data within the first evaluation period and enter it into the visitor security interaction database. The interaction data includes the number of identity verifications, average security check duration (effective security interaction phase), and number of biometric comparisons. S11 includes the following sub-steps: S111. After the visitor enters the security interaction area, time the entire process from identity verification to security check completion. S112. Compare the interaction duration with a first security duration threshold. If the interaction duration is less than the first security duration threshold (e.g., a short-term interaction without biometric comparison), an invalid security signal is output. If the interaction duration is greater than or equal to the first security duration threshold, a valid security signal is output. S113. If an invalid security signal is output, the duration is marked as invalid security duration (requiring manual review). If a valid security signal is output, the duration is marked as valid security check duration. S114. Calculate the number of verifications and the valid security check duration using an average valid security check duration algorithm to obtain the average security check duration. The average valid security check duration algorithm is configured as follows: ;in, The effective security check duration is the duration of the i-th security check (records that satisfy the interaction duration ≥ the first security duration threshold). This refers to the number of valid security checks (i.e., the amount of data after removing invalid interactions from the number of identity verifications C).

[0032] S12. Obtain the security processing result data within the first assessment period and enter it into the visitor security interaction database. The processing result data includes the number of biometric verification passes, the number of security alarms triggered (such as carrying prohibited items or identity discrepancies), and the number of manual reviews.

[0033] Step 2: Analyze the security interaction data and security processing result data to calculate the security processing priority for each visitor request. The security processing priority is calculated using a security priority analysis formula based on the number of visitor authentication attempts, average security check duration, number of successful biometric verifications, and number of security alarm triggers. The priority analysis formula is set as follows: ;in, The number of times biometric verification passes (a positive indicator) ); The average security check time (security risk is positively correlated with check time), (The longer the duration, the higher the risk, hence the negative sign). For the number of authentication attempts ( (This reflects the pass rate) The number of security alarms triggered (a negative indicator) (It has a higher weight than other parameters). Safety efficiency conversion factor (comprehensive adjustment factor) ).

[0034] Step 3: Obtain the frequency of security interactions of visitors, mark it as security interaction frequency, obtain the visitor security credibility score, analyze the security interaction frequency and security credibility score, classify the visitor security type according to the analysis results, and enter it into the visitor security level database.

[0035] See Figure 3 As shown, step three is as follows: S31. Obtain the frequency of security interactions of visitors during the first assessment period (such as the number of times they enter the park per month) and mark it as the frequency of security interactions. S32. Obtain the visitor security credibility score recorded by the system (based on historical biometric comparison results, records of prohibited items being carried, appointment approval level, etc.), and mark it as a security credibility score; S33. Compare the security reliability score with the first security threshold and the second security threshold. If the security reliability score is less than or equal to the first security threshold, output a temporary security concern signal; if the security reliability score is greater than the first security threshold and less than or equal to the second security threshold, output a regular security signal; if the security reliability score is greater than the second security threshold, output a priority security signal. S34. If a priority security signal is output, the security interaction frequency is compared with the first security interaction threshold. If the interaction frequency is less than or equal to the first security interaction threshold, a regular security signal is output (periodic verification needs to be strengthened); if the interaction frequency is greater than the first security interaction threshold, a trusted visitor signal is output (the security check process can be simplified). S35. If a regular security signal is output, the security interaction frequency is compared with the second security interaction threshold. If the interaction frequency is less than or equal to the second security interaction threshold, a temporary security concern signal is output (100% security check required); if the interaction frequency is greater than the second security interaction threshold, a priority security signal is output. S36. If a temporary security concern signal is output, the corresponding visitor will be classified as a temporary security concern and entered into the visitor security level database; if a regular security signal is output, the corresponding visitor will be classified as a regular security object and entered into the visitor security level database; if a trusted visitor signal is output, the corresponding visitor will be classified as a trusted security object and entered into the visitor security level database.

[0036] Step 4: Read the visitor's historical security interaction database, obtain historical security interaction data, analyze the historical data, and obtain the interaction ratio of visitors of different security types.

[0037] S41. Read the visitor's historical security interaction database to obtain the visitor's historical security interaction data. The historical data includes the number of historical verifications and security levels of visitors of different security types. The security levels include temporary attention level, regular security level and trusted security level. S42. Obtain historical security cases similar to the current visitor's request, find the case with the lowest security risk and the highest efficiency, mark it as the baseline security case, obtain the security check time of the baseline case, mark it as the baseline security time, and set the processing time range of the normal security level to (2T / 3, 2T), where T is the baseline security time. S43. Obtain the actual security check duration of the current visitor's historical requests, mark it as the actual security duration, and compare the actual security duration with the security processing duration range. If the actual duration is less than the minimum value of the range, output a fast security processing signal (it is necessary to confirm whether the simplified process is compliant); if the actual duration is within the range, output a regular security processing signal; if the actual duration is greater than the maximum value of the range, output an enhanced security processing signal (such as multiple alarms or manual review). S44. Analyze the visitor's historical security records to obtain the number of output fast, regular, and enhanced security processing signals, and label them as fast security counts, regular security counts, and enhanced security counts, respectively. Find the maximum value among them. If the fast security count is the largest, the visitor is labeled as a low-risk demand type; if the regular security count is the largest, the visitor is labeled as a standard-risk demand type; if the enhanced security count is the largest, the visitor is labeled as a high-risk demand type. S45. Find the number of interactions with temporary security targets, regular security targets, and trusted security targets in the visitor's historical interaction count, and mark them as temporary security interaction count, regular security interaction count, and trusted security interaction count, respectively; set the sum of the historical security interaction counts of all types as the total number of historical security interactions; S46. Calculate the proportion of the number of interactions between the three types of objects to the total number of historical security interactions, and label them as temporary security interaction ratio, regular security interaction ratio and trusted security interaction ratio, respectively. Integrate and label them as security type interaction ratio.

[0038] Step 5: When a visitor initiates a security interaction request, obtain the security processing priority, the urgency of the security risk (such as carrying suspected contraband, unclear identity information), and the visitor's security level. Calculate the security response priority value for each interaction request and assign the security check processing order to the robot based on the priority value.

[0039] S51. When a visitor initiates a security interaction request, obtain the security processing priority, security risk urgency (such as the level of abnormality in item scanning, the degree of identity information matching), and the visitor's security level. S52. If the visitor's security level is a temporary concern level, then select the enhanced security priority formula; if it is a regular security level, then select the standard security priority formula; if it is a trusted security level, then select the simplified security priority formula. The security response priority value is obtained by calculating the security processing priority, security risk urgency, and security level using different formulas. The security response priority value includes the enhanced security priority value, the standard security priority value, and the simplified security priority value.

[0040] The formula for the enhanced security priority value (temporary concern level) is set as follows: ; in, To enhance security priority values; Percentage of interactions with security-related types (percentage of interactions at temporary attention level); Safety risk urgency level (0-10); Risk amplification factor ( ); As a baseline safety duration; For safety response coefficient ( ); Prioritize security measures.

[0041] The formula for the standard security priority value (normal security level) is set as follows: ;in, Standard security priority; The median of the safety risk urgency interval (e.g., U∈[3,7], then) ).

[0042] The simplified security priority value (trusted security level) formula is set as follows: ;in, To simplify security priority values; Efficiency coefficient ( Less than 1 indicates a simplified process.

[0043] S53. Calculate the response priority value of all security interaction requests and assign the security inspection processing order to the robot in descending order (high-risk requests are processed first).

[0044] Step 6: Obtain feedback data from visitor security interactions (including security compliance feedback), analyze the feedback data, and update the security response priority value.

[0045] S61. Set a first security enhancement threshold, a second security enhancement threshold (related to compliance), and a third security enhancement threshold (related to risk elimination), wherein the first security enhancement threshold is lower than the second security enhancement threshold, and the second security enhancement threshold is lower than the third security enhancement threshold; set a security reduction threshold (related to violation records). S62. Monitor whether the visitor has completed the entire security interaction process (such as passing through the gate). If yes, output a compliance pass signal; if no (such as exiting midway or being blocked), output a security abnormality signal. S63. Obtain security process compliance feedback (such as the convenience of biometric data collection and the rationality of security inspection processes), mark it as a security feedback score, compare the score with a security satisfaction threshold, and output a low compliance signal if the score is less than or equal to the threshold; if the score is greater than the threshold, output a high compliance signal. S64. Does the security processing result eliminate the risk (e.g., false alarm for prohibited items eliminated, identity information correction passed)? If yes, output a risk elimination signal; if no, output a risk retention signal (requires secondary processing). S65. Update the security response priority value based on the output signal; S65 includes the following sub-steps: S651. If a security anomaly signal is output, the security response priority value of the corresponding request will be lowered by the security reduction threshold (further enhanced checks will be conducted). ;in, Lower the threshold for safety.

[0046] If the output passes compliance, the priority value is increased to the first security enhancement threshold: ;in, The first safety threshold is raised.

[0047] S652. If a high compliance signal is output, the priority value is increased to the second security enhancement threshold: ;in, This is the second safety threshold. If a low compliance signal is output, the priority value is maintained (the process needs to be optimized without affecting the priority). S653. If a risk elimination signal is output, the priority value is increased to the third safety enhancement threshold (efficient risk handling takes priority): ;in, This is the third safety threshold. If a risk retention signal is output, the priority value is maintained (the cause needs to be traced, but the priority is not adjusted). .

[0048] The method for setting security thresholds (including security reduction thresholds and first / second / third security enhancement thresholds) in a humanoid robot-based gate security interaction system includes the following steps: S1. Acquire various basic data related to the security threshold, calculate key indicator data affecting the threshold, and input various data into the threshold processing module. The acquired basic data includes: historical compliance pass signal count and corresponding security response priority value adjustment records; historical high / low compliance signal count and security feedback score data; historical risk elimination / retention signal count and secondary processing result data; historical security anomaly signal count and violation severity level; and system security efficiency data after the application of historical thresholds (such as changes in average security check time, false alarm rate, and missed alarm rate).

[0049] The key metrics data for the calculation include: Compliance Impact H: Calculated based on the proportion of high compliance signals to total compliance signals, using the following formula: Where G represents the number of high compliance signals and Z represents the total number of compliance signals (Z = G + low compliance signals). Risk handling effectiveness L: calculated based on the proportion of risk exclusion signals to total risk handling signals, using the following formula: Where P is the number of risk elimination signals and Q is the total number of risk processing signals (Q = P + number of risk retention signals). The weight W for the impact of the violation is assigned based on the severity of the security anomaly signal, such as the weight assigned to "interception for carrying prohibited items". Version 0.8-1.0, "Exit Midway" assignment Take the weighted average, the formula is: ;in, Assign a value to the i-th severity level; For the first The number of abnormal signals of each severity level; This represents the number of severity level categories.

[0050] The safety efficiency coefficient Y is calculated based on the reduction in false alarm rate after threshold application, using the following formula: .

[0051] S2, the threshold processing module performs weighted processing on various data and key indicators to obtain initial threshold parameters; the initial threshold parameters are obtained using the following model: ;in, , , , The weights are respectively the compliance impact H, the risk handling effectiveness L, the violation impact weight W, and the safety efficiency coefficient Y (determined after forming a comparison matrix using the nine-scale method and a consistency test). The base threshold is the initial reference value set based on industry security standards, such as e∈[0.1,0.5] .

[0052] The weights for each item are obtained in the following way: S21, the qualitative index fuzzy quantification method is used to evaluate the impact of compliance, the effectiveness of risk handling, the impact weight of violations, and the safety efficiency coefficient on the threshold, resulting in a nine-scale table (scale 1-9, where 1 indicates the same impact and 9 indicates a highly significant impact); S22, each time two elements in the nine-scale table are summed to represent the ratio of the sum's impact on the threshold, forming a comparison matrix; S23, the comparison matrix is ​​subjected to a consistency test (CR<0.1), and the weights for each item are obtained after passing the test.

[0053] S3. Standardize and map the initial threshold parameters to obtain the security reduction threshold, the first security enhancement threshold, the second security enhancement threshold, and the third security enhancement threshold, and embed them into the gate security interaction system; use min-max standardization to map the initial threshold parameters to obtain the final threshold. ;in, This is the initial threshold parameter; It is the minimum value among all initial threshold parameters; for / / / ; The threshold is the maximum value among all initial threshold parameters; and it satisfies the following conditions: security reduction threshold < first security enhancement threshold < second security enhancement threshold < third security enhancement threshold (based on the importance of influencing factors, such as the impact of risk elimination being greater than compliance, hence the third security enhancement threshold is the largest). After the threshold is set, it is embedded in the system. When the system detects security anomaly signals, compliance approval signals, etc., it calls the corresponding threshold to adjust the security response priority value, and periodically repeats steps S1-S3 based on newly generated basic data to update the threshold.

[0054] The beneficial effects of this embodiment are as follows: by using data-driven dynamic classification and priority calculation, visitor risk can be accurately assessed, and high-risk cases can be prioritized to ensure safety; by combining historical cases to match and optimize processes, efficiency and compliance can be balanced; the feedback mechanism can continuously update strategies to adapt to actual needs; and humanoid robots can perform interactions to improve user experience and achieve intelligent and adaptive upgrades to gate security.

[0055] The weights in this invention are used to measure the degree of influence of different factors or variables on a particular outcome or decision. Weights are defined as numerical values ​​assigned to each factor when comparing and evaluating multiple factors to reflect their importance or priority. These weights can be determined based on specific circumstances and needs, and are typically developed and confirmed jointly by professionals or relevant stakeholders. By setting appropriate weights, programs or systems can make more accurate decisions or predictions.

[0056] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

[0057] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A gate security interactive system based on a humanoid robot, characterized in that, The system includes Data acquisition and storage module: used to acquire and store visitor security interaction data and security processing result data within the first evaluation period; Security processing priority calculation module: used to analyze security interaction data and security processing result data, and calculate the security processing priority of each visitor request; Visitor security type classification module: responsible for obtaining the frequency of security interactions and security trustworthiness scores of visitors, analyzing the two and classifying the visitor security type according to the results, and entering the data into the visitor security level database; Security Type Interaction Ratio Analysis Module: This module reads the visitor's historical security interaction database, obtains and analyzes historical security interaction data, and obtains the interaction ratio of visitors of different security types. Security response priority calculation and processing order allocation module: When a visitor initiates a security interaction request, this module is responsible for calculating the security response priority value of each interaction request and allocating the security check processing order to the robot; Feedback data processing and priority update module: Used to acquire feedback data from visitor security interactions, analyze the feedback data, and update the security response priority value.

2. The gate security interactive system based on a humanoid robot according to claim 1, characterized in that, The system workflow is as follows: Step 1: Obtain visitor security interaction data and security processing result data from the historical records within the first assessment period, and enter them into the visitor security interaction database; the security interaction data includes the number of identity verifications, average security check duration, and number of biometric comparisons; the security processing result data includes the number of biometric verifications passed, the number of security alarms triggered, and the number of manual reviews. Step 2: Analyze the security interaction data and security processing result data, and calculate the security processing priority of each visitor request using a preset security priority analysis formula; Step 3: Obtain the frequency of security interactions and security trustworthiness scores of visitors, classify visitor security types based on preset threshold comparison rules, and enter them into the visitor security level database. Step 4: Read the visitor's historical security interaction database, analyze the historical security interaction data, and obtain the interaction ratio of visitors of different security types; Step 5: When a visitor initiates a security interaction request, obtain the security processing priority, security risk urgency and visitor security level, calculate the security response priority value through a preset priority formula, and assign a security check processing order to the robot; Step 6: Obtain feedback data from visitor security interactions and update the security response priority value based on the feedback signal type.

3. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, The security interaction data acquisition in step one includes: timing the entire process from visitor identity verification to security check completion, comparing the interaction time with a first security time threshold, and outputting invalid or valid security signals; marking the time corresponding to invalid security signals as invalid security time and triggering manual review, marking the time corresponding to valid security signals as valid security check time, and calculating the average security check time using an average valid security check time algorithm.

4. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, The security priority analysis formula in step two is configured as follows: the security processing priority is calculated by taking the number of biometric verification passes, average security check time, number of identity verifications, and number of security alarms triggered as input parameters and combining them with the security efficiency conversion coefficient; among them, the average security check time is negative to reflect the positive correlation between security risk and time, and the number of security alarms triggered is configured as the negative indicator with the highest weight.

5. The humanoid robot-based gate security interactive system according to claim 2, characterized in that, The visitor security type classification in step three includes: The security credibility score is compared with the first security threshold and the second security threshold, and a temporary security concern signal, a regular security signal or a priority security signal is output. For visitors who output priority security signals, the frequency of security interactions is further compared with the first security interaction threshold, and a regular security signal or a trusted visitor signal is output. For visitors who output regular security signals, the frequency of security interactions is further compared with the second security interaction threshold, and a temporary security concern signal or a priority security signal is output. Visitors are ultimately categorized into temporary security concerns, regular security concerns, or trusted security concerns and entered into the database.

6. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, The historical data analysis in step four includes: Obtain historical security cases similar to the current visitor's request, mark the cases with the lowest security risk and the highest efficiency as benchmark security cases, and extract the benchmark security duration; Based on the baseline security duration, the processing time range of the regular security level is set, and the actual security check time of the current visitor is compared with the range to output a fast security processing signal, a regular security processing signal, or an enhanced security processing signal. Count the number of signals processed for each type and label visitors as low-risk demand type, standard-risk demand type, or high-risk demand type; Calculate the interaction ratio among temporary security focus objects, regular security objects, and trusted security objects.

7. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, The calculation of the security response priority value in step five includes: Choose the enhanced security priority formula, standard security priority formula, or simplified security priority formula based on the visitor's security level. The enhanced security priority formula uses the following parameters: security type interaction ratio, security risk urgency, risk amplification coefficient, baseline security duration, security response coefficient, and security processing priority. The standard security priority formula uses the median value of the security risk urgency interval as a parameter; The simplified security priority formula uses an efficiency coefficient as a parameter; Finally, security checks are assigned in descending order of priority value.

8. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, The feedback data update in step six includes: Monitor whether visitors complete the entire security interaction process and output compliance pass signal or security abnormality signal; Obtain a compliance feedback score for the security process, compare it with the security satisfaction threshold, and output a high compliance signal or a low compliance signal; Whether the risk has been eliminated by obtaining the security processing result, output a risk elimination signal or a risk retention signal; Adjust security response priority values ​​according to signal type: reduce priority values ​​for security anomaly signals, and increase priority values ​​for compliance pass signals, high compliance signals, and risk elimination signals.

9. The gate security interactive system based on a humanoid robot according to claim 2, characterized in that, In the feedback data update, security anomaly signals trigger subsequent enhanced inspections, low compliance signals trigger process optimization, and risk retention signals trigger secondary processing. The priority value adjustment range is controlled by preset first security enhancement threshold, second security enhancement threshold, third security enhancement threshold and security reduction threshold; It also includes: filtering or manually verifying outliers during the data collection process; setting dynamic verification rules for trusted and secure objects, triggering a biometric verification every N accesses; setting manual verification trigger conditions, including invalid security signals, low compliance signals, and risk retention signals; and establishing a dynamic threshold adjustment mechanism to regularly update security level and priority parameters.

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