Intelligent operation maintenance method and system for fingerprint access control

Abstract

Provided in the present invention are an intelligent operation maintenance method and system for fingerprint access control. The intelligent operation maintenance method for fingerprint access control comprises: collecting in real time data information of fingerprint recognition of fingerprint access control within each operation maintenance monitoring time period; at an ending moment of each operation maintenance monitoring time period, using the data information of fingerprint recognition to acquire an operation quality evaluation factor corresponding to the operation maintenance monitoring time period; when the operation quality evaluation factor corresponding to the current operation maintenance monitoring time period is lower than a preset factor threshold, using the operation quality evaluation factor corresponding to each operation maintenance monitoring time period to acquire the current operation quality evaluation parameter of the fingerprint access control; and when the operation quality evaluation parameter is lower than a preset evaluation parameter threshold, sending to a worker terminal a prompt for performing operation maintenance on the fingerprint access control. The system comprises modules corresponding to the steps of the method.

Description

A fingerprint access control intelligent operation and maintenance method and system Technical Field

[0001] The present invention relates to the field of fingerprint access control technology, and in particular to a fingerprint access control intelligent operation and maintenance method and system. Background Art

[0002] With the advancement of technology, fingerprint access control has become a security device in many places and is widely used in companies, residential areas, schools, etc. In order to ensure the normal operation of the fingerprint access control system, it needs to be regularly operated and maintained.

[0003] However, existing O&M management methods present numerous challenges. First, they often rely on manual inspections, which are labor-intensive, inefficient, and unable to promptly identify and resolve issues. Second, due to a lack of effective data support, a scientific assessment of the operating status of fingerprint access control systems is impossible, resulting in poor O&M effectiveness.

[0004] Therefore, there is an urgent need for an intelligent operation and maintenance method for fingerprint access control based on big data analysis and artificial intelligence technology to achieve efficient operation and maintenance management and scientific operation status evaluation.

[0005] Summary of the Invention

[0006] The present invention provides a fingerprint access control intelligent operation and maintenance method and system to solve the problems of passivity, low maintenance efficiency, difficulty in troubleshooting safety hazards, and high costs in the operation and maintenance of traditional access control systems:

[0007] The present invention proposes a fingerprint access control intelligent operation and maintenance method, which includes:

[0008] S1: Collect fingerprint identification data of fingerprint access control in real time during each operation and maintenance monitoring period;

[0009] S2: At the end of each operation and maintenance monitoring time period, using the fingerprint identification data information to obtain the operation quality evaluation factor corresponding to the operation and maintenance monitoring time period;

[0010] S3: When the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control system;

[0011] S4: When the operation quality evaluation parameter is lower than a preset evaluation parameter threshold, a prompt for performing operation maintenance on the fingerprint access control is sent to the staff terminal.

[0012] Furthermore, fingerprint identification data information of fingerprint access control is collected in real time during each operation and maintenance monitoring period, including:

[0013] S11: Setting the operation and maintenance monitoring time period; wherein the operation and maintenance monitoring time period ranges from 90 days to 180 days;

[0014] S12: Collect fingerprint identification data information of the fingerprint access control in real time during each operation and maintenance monitoring time period; wherein, the data information includes the accuracy of fingerprint identification, the response time length of each fingerprint identification, the number of fingerprint identifications experienced by a single user to complete an access control, and the corresponding fingerprint similarity judgment results.

[0015] Furthermore, at the end of each operation and maintenance monitoring time period, the fingerprint identification data information is used to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period, including:

[0016] S21: At the end of each operation and maintenance monitoring time period, extracting fingerprint identification data information of the fingerprint access control system in the current operation and maintenance monitoring time period;

[0017] S22: Using the fingerprint identification data information, obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

[0018] Furthermore, when the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality assessment factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality assessment parameters of the current fingerprint access control, including:

[0019] S31: When the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extract the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set;

[0020] S32: extracting the operation quality assessment factors lower than the preset reference factor values ​​from the factor set and integrating them into a first factor group;

[0021] S33: using the first factor group to set a first factor influence coefficient;

[0022] S34: extracting the operation quality assessment factors that are not less than the preset reference factor values ​​from the factor set and integrating them into a second factor set;

[0023] S35: using the second factor group to set a second factor influence coefficient;

[0024] S36: Utilize the first factor influence coefficient and the second factor influence coefficient in combination with all the operation quality evaluation factors in the factor set to obtain the current fingerprint access control operation quality evaluation parameter.

[0025] Furthermore, the first factor influence coefficient and the second factor influence coefficient are combined with all the operation quality evaluation factors in the factor set to obtain the current fingerprint access control operation quality evaluation parameters, including:

[0026] S316: Extracting the first factor influence coefficient and the second factor influence coefficient;

[0027] S362: Extracting all operation quality assessment factors from the factor set;

[0028] S363: Obtaining an operation quality assessment parameter baseline value using all operation quality assessment factors in the factor set;

[0029] S364: Obtain the current fingerprint access control operation quality evaluation parameter by using the evaluation parameter reference value in combination with the first factor influence coefficient and the second factor influence coefficient.

[0030] The present invention proposes a fingerprint access control intelligent operation and maintenance system, which includes:

[0031] Information collection module: collects fingerprint identification data of fingerprint access control in real time during each operation and maintenance monitoring period;

[0032] Quality assessment module: at the end of each operation and maintenance monitoring time period, using the fingerprint identification data information to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period;

[0033] Parameter acquisition module: when the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control;

[0034] Maintenance prompt module: When the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, a prompt for operation maintenance of the fingerprint access control is sent to the staff terminal.

[0035] Furthermore, the information collection module includes:

[0036] Time setting module: set the operation and maintenance monitoring time period; wherein, the value range of the operation and maintenance monitoring time period is 90 days to 180 days;

[0037] Data collection module: collects fingerprint access control fingerprint recognition data information in real time during each operation and maintenance monitoring period; wherein, the data information includes the accuracy of fingerprint recognition, the response time length of each fingerprint recognition, the number of fingerprint recognitions experienced by a single user to complete an access control, and the corresponding fingerprint similarity judgment results.

[0038] Furthermore, the quality assessment module includes:

[0039] Information extraction module: extracting fingerprint identification data information of the fingerprint access control system in the current operation and maintenance monitoring time period at the end of each operation and maintenance monitoring time period;

[0040] Quality assessment module: uses the fingerprint identification data information to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

[0041] Furthermore, the parameter acquisition module includes:

[0042] A set forming module: when the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extracting the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set;

[0043] A first factor group module: extracting the operation quality assessment factors lower than the preset reference factor values ​​from the factor set and integrating them into a first factor group;

[0044] A first factor influence coefficient module: uses the first factor group to set the first factor influence coefficient;

[0045] A second factor group module: extracting the operation quality assessment factors that are not less than the preset reference factor values ​​from the factor set and integrating them into a second factor group;

[0046] Second factor influence coefficient module: using the second factor group to set the second factor influence coefficient;

[0047] Operation quality evaluation module: uses the first factor influence coefficient and the second factor influence coefficient in combination with all operation quality evaluation factors in the factor set to obtain the operation quality evaluation parameters of the current fingerprint access control.

[0048] Furthermore, the operation quality assessment module includes:

[0049] Coefficient extraction module: extracting the first factor influence coefficient and the second factor influence coefficient;

[0050] Factor extraction module: extracting all operation quality assessment factors in the factor set;

[0051] A reference value acquisition module: obtaining a reference value of an operation quality assessment parameter using all operation quality assessment factors in the factor set;

[0052] Evaluation parameter acquisition module: uses the evaluation parameter reference value combined with the first factor influence coefficient and the second factor influence coefficient to obtain the current fingerprint access control operation quality evaluation parameter.

[0053] The present invention has the following beneficial effects: by collecting fingerprint recognition data information of fingerprint access control in real time during each operation and maintenance monitoring period, the operating status of the device and the quality of fingerprint recognition can be fully understood, providing sufficient data support for subsequent evaluation and maintenance; using the fingerprint recognition data information to obtain the operation quality evaluation factor corresponding to each operation and maintenance monitoring period, it is helpful to objectively evaluate the operation quality of the access control system and provide an objective basis for further maintenance decisions; when the operation quality evaluation factor is lower than the preset factor threshold, the system can automatically determine that the operation of the access control system is abnormal, and then obtain the current fingerprint access control operation quality evaluation parameter. In this way, intelligent monitoring and early warning of the operation status of the access control system can be achieved, which helps to detect potential problems and deal with them early; when the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, the system will send a reminder to the staff terminal to perform operation and maintenance on the fingerprint access control, thereby improving the maintenance response speed, avoiding potential faults from becoming actual faults, and reducing maintenance costs and losses; by collecting and analyzing the operation quality evaluation parameters, the operation quality data of the fingerprint access control system can be formed, helping to formulate a more reasonable maintenance plan, and improving the pertinence and effectiveness of maintenance. Due to the use of fingerprint recognition technology, illegal intrusion and security loopholes can be effectively avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] FIG1 is a diagram showing the steps of a fingerprint access control intelligent operation and maintenance method according to the present invention;

[0055] FIG2 is a module diagram of a fingerprint access control intelligent operation and maintenance system according to the present invention. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0057] Example 1

[0058] This embodiment provides a fingerprint access control intelligent operation and maintenance method, which includes:

[0059] S1: Collect fingerprint identification data of fingerprint access control in real time during each operation and maintenance monitoring period;

[0060] S2: At the end of each operation and maintenance monitoring time period, using the fingerprint identification data information to obtain the operation quality evaluation factor corresponding to the operation and maintenance monitoring time period;

[0061] S3: When the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control system;

[0062] S4: When the operation quality evaluation parameter is lower than a preset evaluation parameter threshold, a prompt for performing operation maintenance on the fingerprint access control is sent to the staff terminal.

[0063] The working principle of the above technical solution is as follows: fingerprint recognition data information of the fingerprint access control system is collected in real time, and then an operation quality assessment factor is calculated based on this data information. At the end of each operation and maintenance monitoring period, the operation quality assessment factor corresponding to that period is calculated based on the fingerprint recognition data information. If the operation quality assessment factor is lower than the preset factor threshold, it indicates that there may be problems with the operation quality of the fingerprint access control system. To further evaluate the operation of the fingerprint access control system, when the operation quality assessment factor corresponding to an operation and maintenance monitoring period is lower than the preset factor threshold, the operation quality assessment parameters of the current fingerprint access control system are obtained based on the operation quality assessment factor of that period. If the operation quality assessment parameters are lower than the preset assessment parameter threshold, it indicates that there are major problems with the operation quality of the fingerprint access control system. When the operation quality assessment parameters of the fingerprint access control system are lower than the preset assessment parameter threshold, a prompt is sent to the staff terminal to perform operation and maintenance on the fingerprint access control system. This allows problems with the fingerprint access control system to be discovered and resolved in a timely manner, ensuring its normal operation and security.

[0064] The effect of the above technical solution is: by collecting fingerprint recognition data information in real time, the usage and data statistics of the fingerprint access control equipment can be understood in a timely manner, which is conducive to timely discovery of problems and operation and maintenance adjustments. By using the fingerprint recognition data information to obtain the operation quality evaluation factor, the operation status of the fingerprint access control equipment can be objectively evaluated, and its stability and reliability can be better understood. When the operation quality evaluation factor is lower than the preset factor threshold, the operation quality evaluation parameter can be obtained according to the factor to further understand the operation quality of the fingerprint access control equipment. When the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, an operation and maintenance prompt can be sent to the staff terminal in a timely manner to help the staff to troubleshoot in time and ensure the normal operation of the equipment. Through this solution, the operating efficiency and stability of the fingerprint access control equipment can be improved, the probability of failure can be reduced, and the safety and operating cost benefits can be improved. By real-time monitoring of the operating status of the fingerprint access control system, potential problems can be discovered in a timely manner, preventive maintenance measures can be taken to avoid equipment damage or failure, and the life and stability of the equipment can be improved; at the same time, by evaluating the operating quality of the fingerprint access control system, the performance of the equipment can be understood, resource allocation can be optimized, and limited resources can be invested in where they are most needed, thereby improving resource utilization efficiency; by real-time collection of fingerprint recognition data information and evaluation of the operating quality, potential security issues can be discovered and resolved in a timely manner, the security of the fingerprint access control system can be enhanced, and the security level can be improved; by analyzing and mining the collected fingerprint recognition data information, more information and knowledge can be obtained to provide support and reference for decision-making, thereby improving the scientific nature and accuracy of decision-making.

[0065] Example 2

[0066] In this embodiment, fingerprint identification data information of fingerprint access control is collected in real time during each operation and maintenance monitoring period, including:

[0067] S11: Setting the operation and maintenance monitoring time period; wherein the operation and maintenance monitoring time period ranges from 90 days to 180 days;

[0068] S12: Collect fingerprint identification data information of the fingerprint access control in real time during each operation and maintenance monitoring time period; wherein, the data information includes the accuracy of fingerprint identification, the response time length of each fingerprint identification, the number of fingerprint identifications experienced by a single user to complete an access control, and the corresponding fingerprint similarity judgment results.

[0069] The working principle of the above technical solution is as follows: the system sets the start and end times for each operation and maintenance monitoring period, ranging from 90 to 180 days. During this period, fingerprint access control operation and maintenance monitoring will be carried out. Real-time fingerprint recognition data is collected: During each operation and maintenance monitoring period, the system collects fingerprint recognition information in real time. This data includes but is not limited to fingerprint recognition accuracy, the response time of each fingerprint recognition, the number of fingerprint recognition attempts for a single user during the access control process, and the corresponding fingerprint similarity determination results.

[0070] The above technical solution offers the following benefits: By setting operation and maintenance time monitoring periods, the frequency and duration of monitoring can be flexibly adjusted to meet different scenarios and needs. By collecting fingerprint recognition data from the fingerprint access control system in real time, fingerprint recognition accuracy can be monitored and anomalies can be detected. Any abnormal fingerprint recognition activity can be immediately addressed and responded to, improving the security of the access control system. By collecting the response time for each fingerprint recognition, the access control system's response speed can be evaluated and optimized accordingly to enhance the user experience. Accurate fingerprint recognition and fast access control opening processes can improve user satisfaction. By recording the number of fingerprint recognition attempts required for a single user to complete an access control session and the corresponding fingerprint similarity results, fingerprint recognition performance can be analyzed for each user. This helps to test the reliability of user fingerprint information and provides data support to help resolve fingerprint recognition issues and improve recognition accuracy. By continuously collecting fingerprint recognition data from the fingerprint access control system, operation and maintenance personnel can promptly identify and resolve potential issues and use the data to perform system maintenance and optimization. This helps improve the stability and reliability of the access control system, reducing the occurrence of failures and user disruptions.

[0071] Example 3

[0072] In this embodiment, at the end of each operation and maintenance monitoring time period, the fingerprint identification data information is used to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period, including:

[0073] S21: At the end of each operation and maintenance monitoring time period, extracting fingerprint identification data information of the fingerprint access control system in the current operation and maintenance monitoring time period;

[0074] S22: Using the fingerprint identification data information, obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

[0075] The operation quality evaluation factor is obtained by the following formula:

[0076] Where E represents the operation quality assessment factor; E0 represents the factor baseline value; P represents the accuracy of fingerprint recognition; n represents the number of fingerprint recognitions within the operation and maintenance monitoring period; T i represents the response time length corresponding to the i-th fingerprint recognition; ΔT represents the theoretical response time delay caused by the increase of one unit of data processing capacity (1G) per unit time (1s) of the network communication channel; T y represents the maximum allowable response delay of fingerprint recognition; m represents the number of identified users within the operation and maintenance monitoring period; N xi It represents the average number of fingerprint verifications that the i-th user needs to go through to pass fingerprint recognition; E0 represents the factor base value.

[0077] The working principle of the above technical solution is as follows: At the end of each operation and maintenance monitoring period, fingerprint recognition data for the current operation and maintenance monitoring period is extracted from the fingerprint access control system. This data may include fingerprint recognition accuracy, response time, and fingerprint similarity determination results. The extracted fingerprint recognition data is used to calculate the operation quality assessment factor corresponding to the operation and maintenance monitoring period.

[0078] The above technical solution provides the following benefits: By acquiring fingerprint recognition data and calculating operational quality assessment factors, the performance and operational quality of the access control system can be quantitatively assessed. This helps identify system problems and anomalies, allowing timely repair or improvement measures to improve system stability and reliability. The extracted fingerprint recognition data allows real-time monitoring of the operational quality during each operation and maintenance monitoring period. By promptly acquiring the operational quality assessment factors, system performance differences across different time periods can be understood, enabling timely identification and resolution of operational issues to ensure proper system operation. Obtaining the operational quality assessment factors for each operation and maintenance monitoring period provides a reference and basis for operation and maintenance personnel to assist in decision-making and optimization. For example, if operational quality is low during a particular time period, targeted system maintenance, technical adjustments, or equipment upgrades can be implemented to improve overall system performance and stability. Monitoring and evaluating fingerprint recognition data can identify issues with fingerprint recognition accuracy and reliability, thereby improving the security and accuracy of the access control system. Promptly identifying and correcting fingerprint recognition anomalies prevents unauthorized access to the system, enhancing the system's security capabilities. The above operation quality evaluation factor formula can be used to effectively calculate the operation quality evaluation factor, comprehensively consider multiple factors, and flexibly adjust according to needs, so as to help operation and maintenance personnel quantitatively evaluate the operation quality of the system, find problems in time and optimize them. At the same time, the operation quality evaluation factor E in the formula can be calculated by the accuracy P, response time length T i, and other parameters, can quantitatively assess the system's operational quality. This allows operations personnel to obtain a specific numerical value representing the system's operational quality level, using it as a benchmark for monitoring and improvement. The formula considers multiple factors, including fingerprint recognition accuracy, response time, and communication channel processing capacity. This allows for a more comprehensive assessment of operational quality by comprehensively considering the impact of multiple factors on system performance. The baseline factor E0 in the formula can be adjusted based on specific circumstances. As needs change, the baseline value can be adjusted to flexibly adapt to the assessment requirements of the operations monitoring period, resulting in a more accurate assessment of operational quality. The operational quality assessment factor calculated using the formula can be compared with a preset threshold to determine whether the system is operating in good condition. If the factor falls below the threshold, it indicates possible system issues and requires appropriate optimization and improvement. This allows timely identification of the cause of operational quality degradation and the implementation of appropriate measures to improve system performance and stability.

[0079] Example 4

[0080] In this embodiment, when the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality assessment factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality assessment parameters of the current fingerprint access control, including:

[0081] S31: When the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extract the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set;

[0082] S32: extracting the operation quality assessment factors lower than the preset reference factor values ​​from the factor set and integrating them into a first factor group;

[0083] S33: Using the first factor group to set a first factor influence coefficient; wherein the first factor influence coefficient is obtained by the following formula:

[0084] Among them, x1 represents the influence coefficient of the first factor; k1 represents the number of factors in the first factor group; E c represents the reference factor value; X0 represents the coefficient base value; e represents a constant, which is 2.71; E i represents the factor value of the i-th factor in the first factor group;

[0085] S34: extracting the operation quality assessment factors that are not less than the preset reference factor values ​​from the factor set and integrating them into a second factor set;

[0086] S35: Using the second factor group to set a second factor influence coefficient; wherein the second factor influence coefficient is obtained by the following formula:

[0087] Among them, x2 represents the influence coefficient of the second factor; k1 represents the number of factors in the first factor group; E c represents the reference factor value; X0 represents the coefficient base value; e represents a constant, which is 2.71; k2 represents the number of factors in the second factor group; E j represents the factor value of the j-th factor in the second factor group;

[0088] S36: Utilize the first factor influence coefficient and the second factor influence coefficient in combination with all the operation quality evaluation factors in the factor set to obtain the current fingerprint access control operation quality evaluation parameter.

[0089] The working principle of the above technical solution is as follows: Based on a preset factor threshold, it is determined whether the operation quality assessment factor within the current operation and maintenance monitoring period is below the threshold. If it is below the threshold, it indicates that there is a problem with the system's operation quality. When the current operation quality assessment factor is found to be below the threshold, the operation quality assessment factors for all operation and maintenance monitoring periods between the current operation and maintenance monitoring period in which the operation quality assessment factor is below the threshold and the previous operation and maintenance monitoring period in which it was below the threshold are extracted. This yields a factor set containing the operation quality assessment factors that have been consecutively below the threshold. The operation quality assessment factors in the factor set that are below a preset reference factor value are combined into a first factor set. This extracts the portion of the operation quality assessment factors used to determine the first factor influence coefficient. The operation quality assessment factors in the factor set that are not below the preset reference factor value are combined into a second factor set. This extracts the portion of the operation quality assessment factors used to determine the second factor influence coefficient. The first factor influence coefficient is set using the first factor set, and the second factor influence coefficient is set using the second factor set. This allows different influence coefficients to be assigned based on the importance of different factor values. Finally, the first and second factor influence coefficients are combined with all the operational quality evaluation factors in the factor set to obtain the operational quality evaluation parameters of the current fingerprint access control system. This allows for a comprehensive operational quality evaluation parameter to be derived by comprehensively considering the impact of each factor in the factor set on the system's operational quality.

[0090] The effects of the above technical solution are as follows: by extracting operation quality assessment factors that are continuously below a preset factor threshold to form a factor set, factor information related to system operation quality issues can be accurately obtained; by integrating a first factor set and a second factor set consisting of operation quality assessment factors that are below a preset reference factor value and factors that are not below the reference factor value, and combining all operation quality assessment factors in the factor set, the impact of multiple factors on system operation quality can be comprehensively considered; by setting the first factor influence coefficient and the second factor influence coefficient, different factors can be given different weights according to their importance, and combined with the operation quality assessment factors, intelligent operation quality assessment parameters can be obtained, providing more accurate data support for decision-making; by monitoring and analyzing the operation quality assessment factors during the operation and maintenance monitoring period, when it is found that the operation quality assessment factor is below the preset threshold, relevant factor information can be promptly extracted and the operation quality can be judged based on the assessment parameters, so that measures can be taken in a timely manner for optimization and improvement; by continuously monitoring the operation quality assessment factors and promptly evaluating the system operation quality, operation and maintenance efficiency and system stability can be improved, the occurrence of failures and problems can be reduced, and the reliability and availability of the system can be improved. The above calculation formula for the first factor influence coefficient can comprehensively consider the differences in the number of factors and the factor values, flexibly allocate weights, highlight the influence of important factors, and improve the accuracy of operation quality assessment. At the same time, the first factor influence coefficient x1 in the formula not only considers the number of factors k1, but also the factor value E i With the reference factor value E c Therefore, it can more accurately reflect the importance of factors to the quality of system operation; the coefficient reference value X0 and the value of constant e in the formula can be adjusted to flexibly allocate the weights of different factors. If the coefficient reference value X0 is larger and the constant e is smaller, the influence coefficient x1 corresponding to the factor with larger difference will also become larger, thus giving more importance to the factor with larger difference; when the factor value E of the factor is i With the reference factor value E c When the difference between the two factors is large, the exponential operation in the formula will increase the influence coefficient x1. This can highlight the impact of important factors on system operation quality and increase sensitivity to system problems. By using this formula, a more accurate influence coefficient x1 can be obtained based on the comprehensive consideration of the number of factors and their values. In combination with the influence coefficients of other factors, the accuracy of operation quality assessment can be further improved.

[0091] Example 5

[0092] In this embodiment, the first factor influence coefficient and the second factor influence coefficient are combined with all the operation quality evaluation factors in the factor set to obtain the current fingerprint access control operation quality evaluation parameters, including:

[0093] S316: Extracting the first factor influence coefficient and the second factor influence coefficient;

[0094] S362: Extracting all operation quality assessment factors from the factor set;

[0095] S363: Obtaining an operation quality assessment parameter baseline value using all operation quality assessment factors in the factor set; wherein the operation quality assessment parameter baseline value is an average value of the factors in the factor set;

[0096] S364: Obtain the current fingerprint access control operation quality evaluation parameter by using the evaluation parameter reference value in combination with the first factor influence coefficient and the second factor influence coefficient.

[0097] The operation quality evaluation parameter is obtained by the following formula:

[0098] Among them, Q represents the operation quality assessment parameter; Q0 represents the operation quality assessment parameter benchmark value.

[0099] The working principle of the above technical solution is as follows: the system collects various factors related to the operational quality of the fingerprint access control system, such as fingerprint recognition speed, false positive rate, and hardware health, and uses them as factors for the operational quality assessment. These factors are then weighted to determine their impact coefficients in the assessment, namely the first factor impact coefficient and the second factor impact coefficient. All factors related to the operational quality of the fingerprint access control system are collected and organized into a factor set. These factors may cover aspects such as device performance, environmental factors, and usage. Next, all operational quality assessment factors in the factor set are statistically analyzed and their average or other baseline values ​​are calculated, which serve as reference standards for the operational quality assessment parameters. Finally, the system combines the first and second factor impact coefficients with the operational quality assessment parameter baseline values ​​and calculates the current fingerprint access control operational quality assessment parameters according to a specific algorithm or model. These parameters can be used to assess the system's operational status and guide subsequent maintenance and management.

[0100] The above technical solution has the following effects: by extracting the first factor influence coefficient and the second factor influence coefficient, as well as the set of operation quality assessment factors, the operation quality assessment can be transformed into a systematic process, thereby improving the accuracy and reliability of the assessment; by utilizing all factors in the evaluation factor set and taking the factor average as the evaluation parameter baseline value, a comprehensive assessment of different factors can be performed, considering not only the impact of individual factors but also the combined effect of multiple factors; by utilizing the first factor influence coefficient and the second factor influence coefficient, the weights of different factors can be flexibly adjusted according to actual conditions, thereby better adapting to different application scenarios and operating environments; by calculating the current fingerprint access control operation quality assessment parameters, the system operation status can be timely understood, and corresponding measures can be taken to optimize and improve based on the assessment results to provide a better user experience and system performance. The above formula can quantitatively evaluate, compare and analyze, and monitor the changes in the operation quality assessment parameters in real time, while intuitively reflecting the improvement effect of the technical solution on fingerprint image quality, providing an effective indicator and basis for the application and optimization of the technical solution. At the same time, the above formula expresses the operation quality assessment parameter Q as a ratio relative to the baseline value Q0, which can quantitatively evaluate the effect of the technical solution on fingerprint image quality improvement. Numerical evaluation provides a more intuitive understanding of the technical solution's impact on fingerprint images. The baseline value, Q0, serves as a reference point for comparing the operational quality assessment parameter, Q, under different conditions, thereby determining the technical solution's effectiveness in improving fingerprint image quality under different conditions. This facilitates comparative analysis, identifying the optimal solution, and optimizing the technology. The Q value in the formula can vary with the actual application of the technical solution and can serve as a real-time monitoring indicator for real-time monitoring and evaluation of fingerprint image quality improvements at different time points or under different environments, enabling timely identification of issues and implementation of adjustments and optimizations. The Q value calculated using the formula intuitively reflects the technical solution's improvement in fingerprint image quality, making the improvement more quantifiable and visual, facilitating the presentation and analysis of the results.

[0101] Example 6

[0102] This embodiment provides a fingerprint access control intelligent operation and maintenance system, which includes:

[0103] Information collection module: collects fingerprint identification data of fingerprint access control in real time during each operation and maintenance monitoring period;

[0104] Quality assessment module: at the end of each operation and maintenance monitoring time period, using the fingerprint identification data information to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period;

[0105] Parameter acquisition module: when the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control;

[0106] Maintenance prompt module: When the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, a prompt for operation maintenance of the fingerprint access control is sent to the staff terminal.

[0107] The working principle of the above technical solution is as follows: fingerprint recognition data information of the fingerprint access control system is collected in real time, and then an operation quality assessment factor is calculated based on this data information. At the end of each operation and maintenance monitoring period, the operation quality assessment factor corresponding to that period is calculated based on the fingerprint recognition data information. If the operation quality assessment factor is lower than the preset factor threshold, it indicates that there may be problems with the operation quality of the fingerprint access control system. To further evaluate the operation of the fingerprint access control system, when the operation quality assessment factor corresponding to an operation and maintenance monitoring period is lower than the preset factor threshold, the operation quality assessment parameters of the current fingerprint access control system are obtained based on the operation quality assessment factor of that period. If the operation quality assessment parameters are lower than the preset assessment parameter threshold, it indicates that there are major problems with the operation quality of the fingerprint access control system. When the operation quality assessment parameters of the fingerprint access control system are lower than the preset assessment parameter threshold, a prompt is sent to the staff terminal to perform operation and maintenance on the fingerprint access control system. This allows problems with the fingerprint access control system to be discovered and resolved in a timely manner, ensuring its normal operation and security.

[0108] The effect of the above technical solution is: by collecting fingerprint recognition data information in real time, the usage and data statistics of the fingerprint access control equipment can be understood in a timely manner, which is conducive to timely discovery of problems and operation and maintenance adjustments. By using the fingerprint recognition data information to obtain the operation quality evaluation factor, the operation status of the fingerprint access control equipment can be objectively evaluated, and its stability and reliability can be better understood. When the operation quality evaluation factor is lower than the preset factor threshold, the operation quality evaluation parameter can be obtained according to the factor to further understand the operation quality of the fingerprint access control equipment. When the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, an operation and maintenance prompt can be sent to the staff terminal in a timely manner to help the staff to troubleshoot in time and ensure the normal operation of the equipment. Through this solution, the operating efficiency and stability of the fingerprint access control equipment can be improved, the probability of failure can be reduced, and the safety and operating cost benefits can be improved. By real-time monitoring of the operating status of the fingerprint access control system, potential problems can be discovered in a timely manner, preventive maintenance measures can be taken to avoid equipment damage or failure, and the life and stability of the equipment can be improved; at the same time, by evaluating the operating quality of the fingerprint access control system, the performance of the equipment can be understood, resource allocation can be optimized, and limited resources can be invested in where they are most needed, thereby improving resource utilization efficiency; by real-time collection of fingerprint recognition data information and evaluation of the operating quality, potential security issues can be discovered and resolved in a timely manner, the security of the fingerprint access control system can be enhanced, and the security level can be improved; by analyzing and mining the collected fingerprint recognition data information, more information and knowledge can be obtained to provide support and reference for decision-making, thereby improving the scientific nature and accuracy of decision-making.

[0109] Example 7

[0110] In this embodiment, the information collection module includes:

[0111] Time setting module: set the operation and maintenance monitoring time period; wherein, the value range of the operation and maintenance monitoring time period is 90 days to 180 days;

[0112] Data collection module: collects fingerprint access control fingerprint recognition data information in real time during each operation and maintenance monitoring period; wherein, the data information includes the accuracy of fingerprint recognition, the response time length of each fingerprint recognition, the number of fingerprint recognitions experienced by a single user to complete an access control, and the corresponding fingerprint similarity judgment results.

[0113] The working principle of the above technical solution is as follows: the system sets the start and end times for each operation and maintenance monitoring period, ranging from 90 to 180 days. During this period, fingerprint access control operation and maintenance monitoring will be carried out. Real-time fingerprint recognition data is collected: During each operation and maintenance monitoring period, the system collects fingerprint recognition information in real time. This data includes but is not limited to fingerprint recognition accuracy, the response time of each fingerprint recognition, the number of fingerprint recognition attempts for a single user during the access control process, and the corresponding fingerprint similarity determination results.

[0114] The above technical solution offers the following benefits: By setting operation and maintenance time monitoring periods, the frequency and duration of monitoring can be flexibly adjusted to meet different scenarios and needs. By collecting fingerprint recognition data from the fingerprint access control system in real time, fingerprint recognition accuracy can be monitored and anomalies can be detected. Any abnormal fingerprint recognition activity can be immediately addressed and responded to, improving the security of the access control system. By collecting the response time for each fingerprint recognition, the access control system's response speed can be evaluated and optimized accordingly to enhance the user experience. Accurate fingerprint recognition and fast access control opening processes can improve user satisfaction. By recording the number of fingerprint recognition attempts required for a single user to complete an access control session and the corresponding fingerprint similarity results, fingerprint recognition performance can be analyzed for each user. This helps to test the reliability of user fingerprint information and provides data support to help resolve fingerprint recognition issues and improve recognition accuracy. By continuously collecting fingerprint recognition data from the fingerprint access control system, operation and maintenance personnel can promptly identify and resolve potential issues and use the data to perform system maintenance and optimization. This helps improve the stability and reliability of the access control system, reducing the occurrence of failures and user disruptions.

[0115] Example 8

[0116] In this embodiment, the quality assessment module includes:

[0117] Information extraction module: extracting fingerprint identification data information of the fingerprint access control system in the current operation and maintenance monitoring time period at the end of each operation and maintenance monitoring time period;

[0118] Quality assessment module: uses the fingerprint identification data information to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

[0119] The operation quality evaluation factor is obtained by the following formula:

[0120] Where E represents the operation quality assessment factor; E0 represents the factor baseline value; P represents the accuracy of fingerprint recognition; n represents the number of fingerprint recognitions within the operation and maintenance monitoring period; Ti represents the response time length corresponding to the i-th fingerprint recognition; ΔT represents the theoretical response time delay caused by the increase of one unit of data processing capacity (1G) per unit time (1s) of the network communication channel; T y represents the maximum allowable response delay of fingerprint recognition; m represents the number of identified users within the operation and maintenance monitoring period; N xi It represents the average number of fingerprint verifications that the i-th user needs to go through to pass fingerprint recognition; E0 represents the factor base value.

[0121] The working principle of the above technical solution is as follows: At the end of each operation and maintenance monitoring period, fingerprint recognition data for the current operation and maintenance monitoring period is extracted from the fingerprint access control system. This data may include fingerprint recognition accuracy, response time, and fingerprint similarity determination results. The extracted fingerprint recognition data is used to calculate the operation quality assessment factor corresponding to the operation and maintenance monitoring period.

[0122] The above technical solution provides the following benefits: By acquiring fingerprint recognition data and calculating operational quality assessment factors, the performance and operational quality of the access control system can be quantitatively assessed. This helps identify system problems and anomalies, allowing timely repair or improvement measures to improve system stability and reliability. The extracted fingerprint recognition data allows real-time monitoring of the operational quality during each operation and maintenance monitoring period. By promptly acquiring the operational quality assessment factors, system performance differences across different time periods can be understood, enabling timely identification and resolution of operational issues to ensure proper system operation. Obtaining the operational quality assessment factors for each operation and maintenance monitoring period provides a reference and basis for operation and maintenance personnel to assist in decision-making and optimization. For example, if operational quality is low during a particular time period, targeted system maintenance, technical adjustments, or equipment upgrades can be implemented to improve overall system performance and stability. Monitoring and evaluating fingerprint recognition data can identify issues with fingerprint recognition accuracy and reliability, thereby improving the security and accuracy of the access control system. Promptly identifying and correcting fingerprint recognition anomalies prevents unauthorized access to the system, enhancing the system's security capabilities. The above operation quality evaluation factor formula can be used to effectively calculate the operation quality evaluation factor, comprehensively consider multiple factors, and flexibly adjust according to needs, so as to help operation and maintenance personnel quantitatively evaluate the operation quality of the system, find problems in time and optimize them. At the same time, the operation quality evaluation factor E in the formula can be calculated by the accuracy P, response time length T i, and other parameters, can quantitatively assess the system's operational quality. This allows operations personnel to obtain a specific numerical value representing the system's operational quality level, using it as a benchmark for monitoring and improvement. The formula considers multiple factors, including fingerprint recognition accuracy, response time, and communication channel processing capacity. This allows for a more comprehensive assessment of operational quality by comprehensively considering the impact of multiple factors on system performance. The baseline factor E0 in the formula can be adjusted based on specific circumstances. As needs change, the baseline value can be adjusted to flexibly adapt to the assessment requirements of the operations monitoring period, resulting in a more accurate assessment of operational quality. The operational quality assessment factor calculated using the formula can be compared with a preset threshold to determine whether the system is operating in good condition. If the factor falls below the threshold, it indicates possible system issues and requires appropriate optimization and improvement. This allows timely identification of the cause of operational quality degradation and the implementation of appropriate measures to improve system performance and stability.

[0123] Example 9

[0124] In this embodiment, the parameter acquisition module includes:

[0125] A set forming module: when the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extracting the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set;

[0126] A first factor group module: extracting the operation quality assessment factors lower than the preset reference factor values ​​from the factor set and integrating them into a first factor group;

[0127] A first factor influence coefficient module is configured to set a first factor influence coefficient using the first factor group; wherein the first factor influence coefficient is obtained by the following formula:

[0128] Among them, x1 represents the influence coefficient of the first factor; k1 represents the number of factors in the first factor group; E c represents the reference factor value; X0 represents the coefficient base value; e represents a constant, which is 2.71; E i represents the factor value of the i-th factor in the first factor group;

[0129] A second factor group module: extracting the operation quality assessment factors that are not less than the preset reference factor values ​​from the factor set and integrating them into a second factor group;

[0130] Second factor influence coefficient module: uses the second factor group to set the second factor influence coefficient; wherein the second factor influence coefficient is obtained by the following formula:

[0131] Among them, x2 represents the influence coefficient of the second factor; k1 represents the number of factors in the first factor group; E c represents the reference factor value; X0 represents the coefficient base value; e represents a constant, which is 2.71; k2 represents the number of factors in the second factor group; E j represents the factor value of the j-th factor in the second factor group;

[0132] Operation quality evaluation module: uses the first factor influence coefficient and the second factor influence coefficient in combination with all operation quality evaluation factors in the factor set to obtain the operation quality evaluation parameters of the current fingerprint access control.

[0133] The working principle of the above technical solution is as follows: Based on a preset factor threshold, it is determined whether the operation quality assessment factor within the current operation and maintenance monitoring period is below the threshold. If it is below the threshold, it indicates that there is a problem with the system's operation quality. When the current operation quality assessment factor is found to be below the threshold, the operation quality assessment factors for all operation and maintenance monitoring periods between the current operation and maintenance monitoring period in which the operation quality assessment factor is below the threshold and the previous operation and maintenance monitoring period in which it was below the threshold are extracted. This yields a factor set containing the operation quality assessment factors that have been consecutively below the threshold. The operation quality assessment factors in the factor set that are below a preset reference factor value are combined into a first factor set. This extracts the portion of the operation quality assessment factors used to determine the first factor influence coefficient. The operation quality assessment factors in the factor set that are not below the preset reference factor value are combined into a second factor set. This extracts the portion of the operation quality assessment factors used to determine the second factor influence coefficient. The first factor influence coefficient is set using the first factor set, and the second factor influence coefficient is set using the second factor set. This allows different influence coefficients to be assigned based on the importance of different factor values. Finally, the first and second factor influence coefficients are combined with all the operational quality evaluation factors in the factor set to obtain the operational quality evaluation parameters of the current fingerprint access control system. This allows for a comprehensive operational quality evaluation parameter to be derived by comprehensively considering the impact of each factor in the factor set on the system's operational quality.

[0134] The effects of the above technical solution are as follows: by extracting operation quality assessment factors that are continuously below a preset factor threshold to form a factor set, factor information related to system operation quality issues can be accurately obtained; by integrating a first factor set and a second factor set consisting of operation quality assessment factors that are below a preset reference factor value and factors that are not below the reference factor value, and combining all operation quality assessment factors in the factor set, the impact of multiple factors on system operation quality can be comprehensively considered; by setting the first factor influence coefficient and the second factor influence coefficient, different factors can be given different weights according to their importance, and combined with the operation quality assessment factors, intelligent operation quality assessment parameters can be obtained, providing more accurate data support for decision-making; by monitoring and analyzing the operation quality assessment factors during the operation and maintenance monitoring period, when it is found that the operation quality assessment factor is below the preset threshold, relevant factor information can be promptly extracted and the operation quality can be judged based on the assessment parameters, so that measures can be taken in a timely manner for optimization and improvement; by continuously monitoring the operation quality assessment factors and promptly evaluating the system operation quality, operation and maintenance efficiency and system stability can be improved, the occurrence of failures and problems can be reduced, and the reliability and availability of the system can be improved. The above calculation formula for the first factor influence coefficient can comprehensively consider the differences in the number of factors and the factor values, flexibly allocate weights, highlight the influence of important factors, and improve the accuracy of operation quality assessment. At the same time, the first factor influence coefficient x1 in the formula not only considers the number of factors k1, but also the factor value E i With the reference factor value E c Therefore, it can more accurately reflect the importance of factors to the quality of system operation; the coefficient reference value X0 and the value of constant e in the formula can be adjusted to flexibly allocate the weights of different factors. If the coefficient reference value X0 is larger and the constant e is smaller, the influence coefficient x1 corresponding to the factor with larger difference will also become larger, thus giving more importance to the factor with larger difference; when the factor value E of the factor is i With the reference factor value E c When the difference between the two factors is large, the exponential operation in the formula will increase the influence coefficient x1. This can highlight the impact of important factors on system operation quality and increase sensitivity to system problems. By using this formula, a more accurate influence coefficient x1 can be obtained based on the comprehensive consideration of the number of factors and their values. In combination with the influence coefficients of other factors, the accuracy of operation quality assessment can be further improved.

[0135] Example 10

[0136] In this embodiment, the operation quality assessment module includes:

[0137] Coefficient extraction module: extracting the first factor influence coefficient and the second factor influence coefficient;

[0138] Factor extraction module: extracting all operation quality assessment factors in the factor set;

[0139] A reference value acquisition module: uses all the operation quality assessment factors in the factor set to obtain an operation quality assessment parameter reference value; wherein the operation quality assessment parameter reference value is an average value of the factors in the factor set;

[0140] Evaluation parameter acquisition module: uses the evaluation parameter reference value combined with the first factor influence coefficient and the second factor influence coefficient to obtain the current fingerprint access control operation quality evaluation parameter.

[0141] The operation quality evaluation parameter is obtained by the following formula:

[0142] Among them, Q represents the operation quality assessment parameter; Q0 represents the operation quality assessment parameter benchmark value.

[0143] The working principle of the above technical solution is as follows: the system collects various factors related to the operational quality of the fingerprint access control system, such as fingerprint recognition speed, false positive rate, and hardware health, and uses them as factors for the operational quality assessment. These factors are then weighted to determine their impact coefficients in the assessment, namely the first factor impact coefficient and the second factor impact coefficient. All factors related to the operational quality of the fingerprint access control system are collected and organized into a factor set. These factors may cover aspects such as device performance, environmental factors, and usage. Next, all operational quality assessment factors in the factor set are statistically analyzed and their average or other baseline values ​​are calculated, which serve as reference standards for the operational quality assessment parameters. Finally, the system combines the first and second factor impact coefficients with the operational quality assessment parameter baseline values ​​and calculates the current fingerprint access control operational quality assessment parameters according to a specific algorithm or model. These parameters can be used to assess the system's operational status and guide subsequent maintenance and management.

[0144] The above technical solution has the following advantages: by extracting the first and second factor influence coefficients, as well as the set of operational quality assessment factors, operational quality assessment can be transformed into a systematic process, thereby improving the accuracy and reliability of the assessment. By utilizing all factors in the set of assessment factors and using the factor average as the baseline value for the assessment parameter, a comprehensive assessment of different factors can be performed, considering not only the impact of individual factors but also the combined effect of multiple factors. By utilizing the first and second factor influence coefficients, the weights of different factors can be flexibly adjusted according to actual conditions, thereby better adapting to different application scenarios and operating environments. By calculating the current fingerprint access control operational quality assessment parameters, the system's operating status can be promptly understood, and corresponding measures can be taken based on the assessment results to optimize and improve the system to provide a better user experience and system performance. The above formula can quantitatively evaluate, compare, analyze, and monitor changes in the operational quality assessment parameters in real time, while intuitively reflecting the improvement effect of the technical solution on fingerprint image quality, providing an effective indicator and basis for the application and optimization of the technical solution. Furthermore, the above formula expresses the operational quality assessment parameter Q as a ratio relative to the baseline value Q0, which can quantitatively evaluate the improvement effect of the technical solution on fingerprint image quality. Numerical evaluation provides a more intuitive understanding of the technical solution's impact on fingerprint images. The baseline value, Q0, serves as a reference point for comparing the operational quality assessment parameter, Q, under different conditions, thereby determining the technical solution's effectiveness in improving fingerprint image quality under different conditions. This facilitates comparative analysis, identifying the optimal solution, and optimizing the technology. The Q value in the formula can vary with the actual application of the technical solution and can serve as a real-time monitoring indicator for real-time monitoring and evaluation of fingerprint image quality improvements at different time points or under different environments, enabling timely identification of issues and implementation of adjustments and optimizations. The Q value calculated using the formula intuitively reflects the technical solution's improvement in fingerprint image quality, making the improvement more quantifiable and visual, facilitating the presentation and analysis of the results.

[0145] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A fingerprint access control intelligent operation and maintenance method, It is characterized in that The fingerprint access control intelligent operation and maintenance method comprises: Collect fingerprint access control fingerprint identification data information in real time during each operation and maintenance monitoring period; At the end of each operation and maintenance monitoring time period, the data information of the fingerprint recognition is used to obtain the operation quality evaluation factor corresponding to the operation and maintenance monitoring time period; When the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control; When the operation quality evaluation parameter is lower than a preset evaluation parameter threshold, a prompt for operating and maintaining the fingerprint access control system is sent to the staff terminal.

2. According to the fingerprint access control intelligent operation and maintenance method of claim 1, It is characterized in that The fingerprint identification data information of the fingerprint access control is collected in real time during each operation and maintenance monitoring period, including: Set the operation and maintenance monitoring time period; the value range of the operation and maintenance monitoring time period is 90 days to 180 days; The fingerprint recognition data information of the fingerprint access control is collected in real time during each operation and maintenance monitoring time period; wherein, the data information includes the accuracy of fingerprint recognition, the response time length of each fingerprint recognition, the number of fingerprint recognitions experienced by a single user to complete a door access opening, and the corresponding fingerprint similarity judgment results.

3. According to the fingerprint access control intelligent operation and maintenance method of claim 1, It is characterized in that At the end of each operation and maintenance monitoring time period, the operation quality assessment factor corresponding to the operation and maintenance monitoring time period is obtained by using the data information of the fingerprint recognition, including: At the end of each operation and maintenance monitoring time period, extracting the fingerprint identification data information of the fingerprint access control in the current operation and maintenance monitoring time period; The fingerprint recognition data information is used to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

4. According to the fingerprint access control intelligent operation and maintenance method of claim 1, It is characterized in that When the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameters of the current fingerprint access control, including: When the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extract the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods experienced between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set; Extracting the operation quality assessment factors lower than the preset reference factor values ​​from the factor set and integrating them into a first factor group; Using the first factor group to set a first factor influence coefficient; Extracting the operation quality assessment factors that are not less than the preset reference factor values ​​from the factor set and integrating them into a second factor set; Using the second factor group to set a second factor influence coefficient; The first factor influence coefficient and the second factor influence coefficient are combined with all the operation quality evaluation factors in the factor set to obtain the operation quality evaluation parameter of the current fingerprint access control.

5. According to the fingerprint access control intelligent operation and maintenance method of claim 4, It is characterized in that The operation quality evaluation parameters of the current fingerprint access control are obtained by using the first factor influence coefficient and the second factor influence coefficient in combination with all the operation quality evaluation factors in the factor set, including: Extracting the first factor influence coefficient and the second factor influence coefficient; Extracting all operation quality assessment factors from the factor set; Obtaining an operation quality assessment parameter baseline value using all operation quality assessment factors in the factor set; The evaluation parameter reference value is used in combination with the first factor influence coefficient and the second factor influence coefficient to obtain the current fingerprint access control operation quality evaluation parameter.

6. A fingerprint access control intelligent operation and maintenance system, It is characterized in that The fingerprint access control intelligent operation and maintenance system includes: Information collection module: collects fingerprint identification data information of fingerprint access control in real time during each operation and maintenance monitoring period; Quality assessment module: at the end of each operation and maintenance monitoring time period, using the data information of the fingerprint recognition to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period; Parameter acquisition module: when the operation quality evaluation factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, the operation quality evaluation factor corresponding to each operation and maintenance monitoring time period is used to obtain the operation quality evaluation parameter of the current fingerprint access control; Maintenance prompt module: When the operation quality evaluation parameter is lower than the preset evaluation parameter threshold, a prompt for operation maintenance of the fingerprint access control is sent to the staff terminal.

7. According to the fingerprint access control intelligent operation and maintenance system of claim 6, It is characterized in that The information collection module comprises: Time setting module: set the operation and maintenance monitoring time period; wherein the value range of the operation and maintenance monitoring time period is 90 days to 180 days; Data collection module: collects fingerprint access control fingerprint identification data information in real time during each operation and maintenance monitoring period; wherein, the data information includes the accuracy of fingerprint identification, the response time length of each fingerprint identification, the number of fingerprint identification times experienced by a single user to complete an access control opening, and the corresponding fingerprint similarity judgment results.

8. According to the fingerprint access control intelligent operation and maintenance system of claim 6, It is characterized in that The quality assessment module comprises: Information extraction module: extracting the fingerprint identification data information of the fingerprint access control in the current operation and maintenance monitoring time period at the end time of each operation and maintenance monitoring time period; Quality assessment module: using the fingerprint identification data information to obtain the operation quality assessment factor corresponding to the operation and maintenance monitoring time period.

9. According to the fingerprint access control intelligent operation and maintenance system of claim 6, It is characterized in that The parameter acquisition module includes: A set forming module: when the operation quality assessment factor corresponding to the current operation and maintenance monitoring time period is lower than the preset factor threshold, extract the operation quality assessment factors corresponding to all operation and maintenance monitoring time periods experienced between the current operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold and the previous operation and maintenance monitoring time period in which the operation quality assessment factor is lower than the preset factor threshold, to form a factor set; A first factor group module: extracting the operation quality assessment factors lower than the preset reference factor values ​​in the factor set and integrating them into a first factor group; A first factor influence coefficient module: using the first factor group to set the first factor influence coefficient; A second factor group module: extracting the operation quality assessment factors not less than the preset reference factor values ​​from the factor set and integrating them into a second factor group; A second factor influence coefficient module: using the second factor group to set the second factor influence coefficient; Operation quality evaluation module: using the first factor influence coefficient and the second factor influence coefficient combined with all operation quality evaluation factors in the factor set to obtain the operation quality evaluation parameters of the current fingerprint access control.

10. According to the fingerprint access control intelligent operation and maintenance system of claim 9, It is characterized in that The operation quality assessment module comprises: Coefficient extraction module: extracting the first factor influence coefficient and the second factor influence coefficient; Factor extraction module: extracting all operation quality assessment factors in the factor set; A reference value acquisition module: obtaining a reference value of an operation quality assessment parameter using all operation quality assessment factors in the factor set; Evaluation parameter acquisition module: using the evaluation parameter reference value combined with the first factor influence coefficient and the second factor influence coefficient to obtain the current fingerprint access control operation quality evaluation parameter.

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