Intelligent control system platform based on Internet of Things

Abstract

The invention relates to the technical field of intelligent access control, in particular to an intelligent control system platform based on Internet of Things, which comprises a monitoring module, an analysis module, a processing module, a judgment module and a correction module. By monitoring the operation state, the environment parameters, the personnel information, the equipment state, the access control card information and the access control record of the access control system in real time, the operation condition of the access control system can be comprehensively mastered, the operation efficiency and safety are evaluated according to the equipment state and the access control record, the operation risk is determined, the management capability of the access control system is improved, and the safety of the access control system is improved. The initial control parameter is calculated by combining the operation state and the environment parameter, and the target control parameter is generated by using the prediction model, so that the control strategy of the access control system is optimized, the initial control parameter is adjusted according to the deviation degree grade, and dynamic optimization and adjustment of the control parameter of the access control system are realized. The operation efficiency and the safety of the access control system can be obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent access control, and particularly to an intelligent control system platform based on the Internet of Things. Background Art

[0002] With the development of society and the progress of technology, intelligent access control systems have been widely used in various places. Traditional access control systems mainly rely on manual management and simple electronic devices, which have problems such as low management efficiency, poor security, and high maintenance costs. With the development of Internet of Things technology, intelligent access control systems have gradually become the mainstream direction of modern access control management. The Internet of Things technology integrates various sensors, actuators, and communication devices to achieve intelligent management and control of access control systems.

[0003] The patent document with the publication number CN104240014A discloses an access control method and an access control platform. The access control platform includes an access control system and a management system connected to the access control system. Among them, the access control system includes: an information collection module for collecting the identity information of the object currently requesting to pass through the access control; an access control opening module for opening the access control when receiving a verification legal result sent by the identity verification module; a passing information transmission module for generating passing information; the management system includes: a data management module for obtaining approved application data; and counting the received passing information according to the identity identifier; an identity verification module for generating a verification legal result when there is application data in the identity identifier of the approved application data that is consistent with the identity identifier of the object currently requesting to pass through the access control.

[0004] It can be seen that there are the following problems: In the prior art, there is a lack of control over the usage efficiency and security in the control of access control systems, resulting in low security and reliability during use. Summary of the Invention

[0005] Therefore, the present invention provides an intelligent control system platform based on the Internet of Things to comprehensively monitor and manage the devices in the access control system during use, so as to overcome the problems in the prior art that there is a lack of control over the usage efficiency and security in the control of access control systems, resulting in low security and reliability during use.

[0006] To achieve the above object, the present invention provides an intelligent control system platform based on the Internet of Things, including:

[0007] A monitoring module for real-time monitoring of the operating status, environmental parameters, and personnel information of the access control system, and also for monitoring the device status, access card information, and access control records of the access control system;

[0008] An analysis module, connected to the monitoring module, determines the operation efficiency and security of the access control system based on the device status and access records of the access control system, and determines the operation risk of the access control system based on the operation efficiency and security of the access control system;

[0009] A processing module, connected to the monitoring module, calculates the initial control parameters of the access control system based on the operation status and environmental parameters of the access control system, uses the initial control parameters and the operation risk as input parameters, and constructs a prediction model to predict the target control parameters;

[0010] A determination module, respectively connected to the analysis module and the processing module, determines the actual control parameters based on the initial control parameters and the operation risk, calculates the control deviation value based on the target control parameters and the actual control parameters, and determines the deviation degree level based on the control deviation value, the operation status and the actual control parameters;

[0011] A correction module, connected to the determination module, adjusts the initial control parameters of the access control system according to the deviation degree level.

[0012] Furthermore, the analysis module includes:

[0013] An efficiency determination unit, used to determine the operation efficiency of the access control system according to the device status and access records of the access control system;

[0014] A security determination unit, used to determine the security of the access control system according to the access card information and access records of the access control system;

[0015] A risk determination unit, connected to the efficiency determination unit and the security determination unit, used to determine the operation risk of the access control system according to the operation efficiency and the security.

[0016] Furthermore, the efficiency determination unit includes:

[0017] A device status monitoring subunit, used to monitor the device status of the access control system in real time;

[0018] An access record monitoring subunit, used to monitor the access records in real time;

[0019] An efficiency determination subunit, connected to the device status monitoring subunit and the access record monitoring subunit, used to determine the operation efficiency of the access control system according to the device status and the access records.

[0020] Furthermore, the security determination unit includes:

[0021] An access card information monitoring subunit, used to monitor the information of the access card in real time;

[0022] A security determination subunit, connected to the access card information monitoring subunit, is used to determine the security of the access control system based on the access card information and the access record.

[0023] Further, the processing module includes:

[0024] A data preprocessing unit, used to receive real-time data from the monitoring module, and perform cleaning, conversion, and normalization processing on the real-time data to obtain a first processing result;

[0025] A feature extraction unit, connected to the data preprocessing unit, is used to extract the operating status, environmental parameters, and personnel information of the access control system from the first processing result to obtain a feature result;

[0026] A model training unit, connected to the feature extraction unit, is used to construct and train a prediction model using the feature result to obtain a trained model;

[0027] A result prediction unit, connected to the model training unit, is used to predict target control parameters based on the trained model.

[0028] Further, the determination module includes:

[0029] A model calculation unit, used to use the initial control parameter and the operation risk as input parameters of an optical model, and calculate the control loss according to the optical model to obtain a thermal control loss;

[0030] An actual control parameter calculation unit, connected to the model calculation unit, is used to subtract the thermal control loss from the initial control parameter to obtain the actual control parameter.

[0031] Further, the model calculation unit includes:

[0032] A parameter processing subunit, used to perform unit conversion and range verification processing on the initial control parameter and the operation risk to obtain a second processing result;

[0033] An optical model calculation subunit, connected to the parameter processing subunit, is used to perform optical simulation calculations according to the second processing result to obtain reflection loss, transmission loss, and absorption loss;

[0034] A control loss calculation subunit, connected to the optical model calculation subunit, is used to accumulate the reflection loss, the transmission loss, and the absorption loss to obtain a control loss value;

[0035] A thermal loss control parameter conversion subunit, connected to the control loss calculation subunit, is used to convert the control loss value into a corresponding thermal control loss.

[0036] Furthermore, the determination module further includes:

[0037] A control deviation value analysis unit for analyzing the magnitude of the control deviation value to obtain an analysis result;

[0038] An environmental parameter evaluation unit for evaluating the influence of the operating state on the control deviation value to obtain an evaluation result;

[0039] A historical data comparison unit for comparing the actual control parameter with the control parameter in the historical data to obtain a comparison result;

[0040] A deviation level classification unit, connected to the control deviation value analysis unit, the environmental parameter evaluation unit, and the historical data comparison unit, for determining the deviation degree level according to the analysis result, the evaluation result, and the comparison result.

[0041] Furthermore, the correction module includes:

[0042] A parameter adjustment unit for adjusting the initial control parameter according to the deviation degree level to obtain an adjustment result;

[0043] A safety limit unit, connected to the parameter adjustment unit, for determining that the adjustment result does not exceed the safety control parameter;

[0044] A feedback calibration unit, connected to the parameter adjustment unit, for collecting the operating data after the adjustment result and feeding it back to the determination module.

[0045] Furthermore, the safety limit unit includes:

[0046] A parameter monitoring subunit for real-time monitoring of the control parameter of the access control system;

[0047] A comparison and judgment subunit, connected to the parameter monitoring subunit, for comparing the control parameter of the access control system with the safety control parameter to judge whether there is an abnormality in the control parameter of the access control system. Among them,

[0048] If the control parameter of the access control system is greater than the safety control parameter, it is determined that there is an abnormality in the control parameter of the access control system;

[0049] If the control parameter of the access control system is less than or equal to the safety control parameter, it is determined that there is an abnormality in the control parameter of the access control system.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: by means of the monitoring module, the operating status, environmental parameters and personnel information of the access control system, as well as the device status, access card information and access records are monitored in real time, so that the operation of the access control system can be comprehensively grasped. The analysis module evaluates the operation efficiency and security according to the device status and access records, and determines the operation risks, further improving the management ability of the access control system. The processing module calculates the initial control parameters in combination with the operating status and environmental parameters, and generates the target control parameters by using the prediction model, thereby optimizing the control strategy of the access control system. The determination module calculates the control deviation value and determines the deviation degree level by comparing the target control parameters with the actual control parameters, providing the system with accurate deviation analysis ability. The correction module adjusts the initial control parameters according to the deviation degree level, realizing the dynamic optimization adjustment of the control parameters of the access control system, and significantly improving the operation efficiency and security of the access control system.

[0051] Furthermore, by monitoring the device status, access card information and access records in real time, the working state of the access control system can be accurately reflected, helping the manager to discover potential problems in a timely manner. By comprehensively analyzing the device status and access card information, the security risks of the system are evaluated to ensure that the access control system operates under high security. Combining efficiency and security, a comprehensive risk assessment is provided, providing data support for management decisions.

[0052] Furthermore, by capturing the working state, fault state and maintenance state of the device in real time, it is ensured that the device is always in the best operating state, invalid or abnormal access cards are discovered in a timely manner, potential safety hazards are prevented, and a solid data foundation is provided for subsequent security analysis.

[0053] Furthermore, through the monitoring of device status, access card information and access records, the security of the access control system can be comprehensively evaluated. By real-time monitoring the working state of the device, faults are discovered and processed in a timely manner, reducing security risks and ensuring the safe and stable operation of the access control system.

[0054] Furthermore, by cleaning, transforming and normalizing the real-time data, the accuracy and consistency of the data are ensured, providing a basis for subsequent control decisions, enabling the access control system to adaptively adjust in a complex environment, and improving the level of intelligence and automation.

[0055] Furthermore, by using the initial control parameters and operation risks as inputs, the control loss is calculated, providing a deep analysis of the system operation status, ensuring the accuracy of control decisions, and providing strong support for safety management.

[0056] Furthermore, by performing unit conversion and range verification on the initial control parameters and operation risks, ensuring the validity and accuracy of the input data, it is possible to more accurately evaluate control losses, timely adjust control strategies, and ensure the stable operation of the system under various environmental conditions.

[0057] Furthermore, by analyzing the magnitude of the control deviation value, it provides an intuitive feedback on the system operation status. By evaluating the influence of the operation status on the control deviation value, the access control system can maintain efficient and safe operation in a complex environment.

[0058] Furthermore, by adjusting the initial control parameters according to the deviation degree level, it ensures that the system can respond to environmental changes in a timely manner. By monitoring the control parameters, it ensures that the adjustment results do not exceed the safety control parameters, preventing potential safety hazards caused by parameter adjustment. The feedback calibration unit collects the operation data after the adjustment results, ensuring the adaptive ability of the access control system and enhancing the security and reliability of the system.

[0059] Furthermore, by real-time monitoring the control parameters of the access control system, it ensures that the system always operates within a safe range. The comparison and judgment subunit, by comparing the control parameters with the safety control parameters, can timely identify abnormal situations, ensuring the operation of the access control system under high security, reducing potential safety risks, and providing reliable decision-making support for managers. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic diagram of the module connection of the intelligent control system platform based on the Internet of Things according to an embodiment of the present invention;

[0061] Figure 2 It is a schematic diagram of the structure of the security determination unit according to an embodiment of the present invention;

[0062] Figure 3 It is a schematic diagram of the structure of the correction module according to an embodiment of the present invention;

[0063] Figure 4 It is a schematic diagram of the structure of the security restriction unit according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0064] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0065] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0066] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0067] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0068] Please refer to Figure 1 , as Figure 1 shown, which is a schematic diagram of the module connection of the intelligent control system platform based on the Internet of Things according to an embodiment of the present invention;

[0069] Specifically, the intelligent control system platform based on the Internet of Things provided by the embodiment of the present invention includes:

[0070] A monitoring module for real-time monitoring of the operating status, environmental parameters, and personnel information of the access control system, and also for monitoring the device status, access card information, and access records of the access control system;

[0071] An analysis module connected to the monitoring module, which determines the operating efficiency and security of the access control system according to the device status and access records of the access control system, and determines the operating risk of the access control system according to the operating efficiency and security of the access control system;

[0072] A processing module connected to the monitoring module, which calculates the initial control parameters of the access control system according to the operating status and environmental parameters of the access control system, uses the initial control parameters and the operating risk as input parameters, and constructs a prediction model to predict the target control parameters;

[0073] A determination module connected to the analysis module and the processing module respectively, which determines the actual control parameters according to the initial control parameters and the operating risk, calculates the control deviation value according to the target control parameters and the actual control parameters, and determines the deviation degree level according to the control deviation value, the operating status, and the actual control parameters;

[0074] A correction module connected to the determination module, which adjusts the initial control parameters of the access control system according to the deviation degree level.

[0075] Specifically, the operating state refers to whether the access control system is working properly, such as whether the door is open or closed, whether the sensor is damaged, etc.; the environmental parameters are temperature, humidity, light, noise, etc.; the personnel information is, for example, the identity ID, name, permission level of the personnel, etc.; the device state is, for example, the working state, fault state, maintenance state of the access control device, etc.; the access card information is, for example, the validity period, usage times, usage frequency of the access card, etc.; the access record is, for example, the time, location, and personnel information of the access record, etc.; the operating efficiency is whether the access control system can quickly pass personnel, the system response speed, etc.; the security is whether it can prevent illegal intrusion, such as whether the door is securely locked, etc.; the operating risk is potential security hazards, such as the access control system being attacked, device failures, etc.; the initial control parameters are the initial control parameters calculated based on the operating state and environmental parameters of the access control system, such as the opening time, opening angle of the access control, etc.; the target control parameters are the optimal control parameters predicted by the prediction model, such as the opening time, opening angle of the access control, etc.; the actual control parameters are the actual control parameters determined based on the initial control parameters and the operating risk, such as the opening time, opening angle of the access control, etc.; the control deviation value is the difference between the target control parameter and the actual control parameter, such as how much the opening time of the access control differs, and the deviation degree level is the deviation degree level determined based on the control deviation value, operating state, and actual control parameters, such as slight deviation, medium deviation, severe deviation, etc.

[0076] Specifically, the monitoring module can comprehensively grasp the operating conditions of the access control system by real-time monitoring of the operating state, environmental parameters, and personnel information of the access control system, as well as the device state, access card information, and access records. The analysis module evaluates the operating efficiency and security based on the device state and access records, and determines the operating risk, further enhancing the management ability of the access control system. The processing module calculates the initial control parameters in combination with the operating state and environmental parameters, and generates the target control parameters using the prediction model, thereby optimizing the control strategy of the access control system. The determination module calculates the control deviation value and determines the deviation degree level by comparing the target control parameter and the actual control parameter, providing the system with precise deviation analysis capabilities. The correction module adjusts the initial control parameters according to the deviation degree level, realizing the dynamic optimization adjustment of the control parameters of the access control system, and significantly improving the operating efficiency and security of the access control system.

[0077] Specifically, the analysis module includes:

[0078] An efficiency determination unit for determining the operating efficiency of the access control system according to the device state and access records of the access control system;

[0079] A security determination unit for determining the security of the access control system according to the access card information and access records of the access control system;

[0080] A risk determination unit, connected to the efficiency determination unit and the security determination unit, is used to determine the operation risk of the access control system based on the operation efficiency and the security.

[0081] Specifically, by real-time monitoring of the device status, access card information, and access records, it can accurately reflect the working status of the access control system, help managers discover potential problems in a timely manner. Through comprehensive analysis of the device status and access card information, it evaluates the security risk of the system, ensures the access control system operates under high security, combines efficiency and security, provides a comprehensive risk assessment, and provides data support for management decisions.

[0082] Specifically, the efficiency determination unit includes:

[0083] A device status monitoring subunit, used to real-time monitor the device status of the access control system;

[0084] An access record monitoring subunit, used to real-time monitor access records;

[0085] An efficiency determination subunit, connected to the device status monitoring subunit and the access record monitoring subunit, is used to determine the operation efficiency of the access control system based on the device status and the access records.

[0086] Specifically, by real-time capturing the working status, fault status, and maintenance status of the device, it ensures that the device is always in the best operating state, discovers invalid or abnormal access cards in a timely manner, prevents security hazards, and provides a solid data basis for subsequent security analysis.

[0087] Please continue to refer to Figure 2 , as Figure 2 shown, which is a schematic structural diagram of the security determination unit in an embodiment of the present invention;

[0088] Specifically, the security determination unit includes:

[0089] An access card information monitoring subunit, used to real-time monitor the information of access cards;

[0090] A security determination subunit, connected to the access card information monitoring subunit, is used to determine the security of the access control system based on the access card information and the access records.

[0091] Specifically, through device status monitoring, access card information monitoring, and access record monitoring, it can comprehensively evaluate the security of the access control system. By real-time monitoring the working status of the device, it discovers and processes faults in a timely manner, reduces security risks, and ensures the safe and stable operation of the access control system.

[0092] Specifically, the processing module includes:

[0093] A data preprocessing unit, which is used to receive real-time data from the monitoring module, and perform cleaning, transformation, and normalization processing on the real-time data to obtain a first processing result;

[0094] A feature extraction unit, connected to the data preprocessing unit, which is used to extract the operating status, environmental parameters, and personnel information of the access control system from the first processing result to obtain a feature result;

[0095] A model training unit, connected to the feature extraction unit, which is used to construct a prediction model using the feature result for training to obtain a trained model;

[0096] A result prediction unit, connected to the model training unit, which is used to predict target control parameters according to the trained model.

[0097] Specifically, according to a large amount of operating status, environmental parameters, and personnel information, a training model of the control parameter corresponding to the operating risk of different feature results of the passing personnel corresponding to the access control system is determined.

[0098] Specifically, by performing cleaning, transformation, and normalization processing on the real-time data, the accuracy and consistency of the data are ensured, providing a basis for subsequent control decisions, enabling the access control system to adaptively adjust in a complex environment, and improving the level of intelligence and automation.

[0099] Specifically, the determination module includes:

[0100] A model calculation unit, which is used to use the initial control parameter and the operating risk as input parameters of an optical model, and calculate the control loss according to the optical model to obtain a thermal control loss;

[0101] An actual control parameter calculation unit, connected to the model calculation unit, which is used to subtract the thermal control loss from the initial control parameter to obtain the actual control parameter.

[0102] Specifically, by using the initial control parameter and the operating risk as inputs, the control loss is calculated, providing a deep analysis of the system operating status, ensuring the accuracy of control decisions, and providing strong support for safety management.

[0103] Specifically, the model calculation unit includes:

[0104] A parameter processing subunit, which is used to perform unit conversion and range verification processing on the initial control parameter and the operating risk to obtain a second processing result;

[0105] An optical model calculation subunit, connected to the parameter processing subunit, which is used to perform optical simulation calculations according to the second processing result to obtain reflection loss, transmission loss, and absorption loss;

[0106] A control loss calculation subunit, connected to the optical model calculation subunit, for adding up the reflection loss, the transmission loss, and the absorption loss to obtain a control loss value;

[0107] A heat loss control parameter conversion subunit, connected to the control loss calculation subunit, for converting the control loss value into a corresponding heat control loss.

[0108] Specifically, by performing unit conversion and range verification on the initial control parameters and operation risks, ensuring the validity and accuracy of the input data, the control loss can be evaluated more accurately, the control strategy can be adjusted in a timely manner, and the stable operation of the system under various environmental conditions can be ensured.

[0109] Specifically, the determination module further includes:

[0110] A control deviation value analysis unit, for analyzing the magnitude of the control deviation value to obtain an analysis result;

[0111] An environmental parameter evaluation unit, for evaluating the influence of the operation state on the control deviation value to obtain an evaluation result;

[0112] A historical data comparison unit, for comparing the actual control parameters with the control parameters in the historical data to obtain a comparison result;

[0113] A deviation level classification unit, connected to the control deviation value analysis unit, the environmental parameter evaluation unit, and the historical data comparison unit, for determining the deviation degree level according to the analysis result, the evaluation result, and the comparison result.

[0114] Specifically, by analyzing the magnitude of the control deviation value, an intuitive feedback on the system operation state is provided. By evaluating the influence of the operation state on the control deviation value, the access control system can maintain efficient and safe operation in a complex environment.

[0115] Please continue to refer to Figure 3 , as Figure 3 shown, which is a schematic structural diagram of the correction module of the embodiment of the present invention;

[0116] Specifically, the correction module includes:

[0117] A parameter adjustment unit, for adjusting the initial control parameters according to the deviation degree level to obtain an adjustment result;

[0118] A safety limit unit, connected to the parameter adjustment unit, for determining that the adjustment result does not exceed the safety control parameters;

[0119] A feedback calibration unit, connected to the parameter adjustment unit, is used to collect the operation data after the adjustment result and feed it back to the determination module.

[0120] Specifically, by adjusting the initial control parameters according to the deviation degree level, it is ensured that the system can respond to environmental changes in a timely manner. By monitoring the control parameters, it is ensured that the adjustment result does not exceed the safety control parameters, preventing potential safety hazards caused by parameter adjustment. The feedback calibration unit collects the operation data after the adjustment result, ensuring the adaptive ability of the access control system and improving the safety and reliability of the system.

[0121] Please continue to refer to Figure 4 as Figure 4 shown, which is a schematic structural diagram of the safety restriction unit according to an embodiment of the present invention;

[0122] Specifically, the safety restriction unit includes:

[0123] A parameter monitoring sub-unit, used to monitor the control parameters of the access control system in real time;

[0124] A comparison and judgment sub-unit, connected to the parameter monitoring sub-unit, compares the control parameters of the access control system with the safety control parameters to determine whether there is an abnormality in the control parameters of the access control system. Among them,

[0125] if the control parameter of the access control system is greater than the safety control parameter, it is determined that there is an abnormality in the control parameter of the access control system;

[0126] if the control parameter of the access control system is less than or equal to the safety control parameter, it is determined that there is an abnormality in the control parameter of the access control system.

[0127] Specifically, by monitoring the control parameters of the access control system in real time, it is ensured that the system always operates within a safe range. The comparison and judgment sub-unit compares the control parameters with the safety control parameters to identify abnormal situations in a timely manner, ensuring the operation of the access control system with high security, reducing potential safety risks, and providing reliable decision-making support for managers.

[0128] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0129] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, various modifications and variations can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent control system platform based on the Internet of Things, characterized in that: include: The monitoring module is used to monitor the operating status, environmental parameters and personnel information of the access control system in real time, and is also used to monitor the device status, access card information and access records of the access control system; An analysis module, connected to the monitoring module, determines the operation efficiency and safety of the access control system according to the device status and access control records of the access control system, and determines the operation risk of the access control system according to the operation efficiency and safety of the access control system; A processing module, connected to the monitoring module, calculates initial control parameters of the access control system according to the operating state and environmental parameters of the access control system, takes the initial control parameters and the operating risk as input parameters, and constructs a prediction model to predict target control parameters; a determination module, connected to the analysis module and the processing module respectively, determining an actual control parameter according to the initial control parameter and the operation risk, calculating a control deviation value according to the target control parameter and the actual control parameter, and determining a deviation degree level according to the control deviation value, the operation state and the actual control parameter; The correction module is connected to the determination module and adjusts the initial control parameters of the access control system according to the deviation degree level.

2. The intelligent control system platform based on the Internet of Things according to claim 1 is characterized in that: The analysis module comprises: An efficiency determination unit, used to determine the operating efficiency of the access control system according to the device status and access control records of the access control system; A security determination unit, used to determine the security of the access control system based on the access control card information and access control records of the access control system; The risk determination unit is connected to the efficiency determination unit and the safety determination unit respectively, and is used to determine the operation risk of the access control system according to the operation efficiency and the safety.

3. The intelligent control system platform based on the Internet of Things according to claim 2 is characterized in that: The efficiency determination unit comprises: Equipment status monitoring subunit, used to monitor the equipment status of the access control system in real time; Access control record monitoring subunit, used to monitor access control records in real time; The efficiency determination subunit is connected to the device status monitoring subunit and the access control record monitoring subunit respectively, and is used to determine the operation efficiency of the access control system according to the device status and the access control record.

4. The intelligent control system platform based on the Internet of Things according to claim 3 is characterized in that: The security determination unit comprises: Access card information monitoring subunit, used to monitor access card information in real time; The security determination subunit is connected to the access card information monitoring subunit and is used to determine the security of the access control system according to the access card information and the access control record.

5. The intelligent control system platform based on the Internet of Things according to claim 4 is characterized in that: The processing module comprises: A data preprocessing unit, used for receiving the real-time data of the monitoring module, and performing cleaning, conversion and normalization processing on the real-time data to obtain a first processing result; A feature extraction unit, connected to the data preprocessing unit, for extracting the operating status, environmental parameters and personnel information of the access control system of the first processing result to obtain a feature result; A model training unit, connected to the feature extraction unit, for constructing a prediction model using the feature results for training to obtain a training model; The result prediction unit is connected to the model training unit and is used to predict the target control parameter according to the training model.

6. The intelligent control system platform based on the Internet of Things according to claim 5 is characterized in that: The determination module comprises: a model calculation unit, configured to use the initial control parameter and the operation risk as input parameters of an optical model, and calculate a control loss according to the optical model to obtain a thermal control loss; The actual control parameter calculation unit is connected to the model calculation unit and is used for subtracting the thermal control loss from the initial control parameter to obtain the actual control parameter.

7. The intelligent control system platform based on the Internet of Things according to claim 6 is characterized in that: The model calculation unit comprises: a parameter processing subunit, configured to perform unit conversion and range verification on the initial control parameter and the operation risk to obtain a second processing result; an optical model calculation subunit, connected to the parameter processing subunit, for performing optical simulation calculation according to the second processing result to obtain reflection loss, transmission loss and absorption loss; a control loss calculation subunit, connected to the optical model calculation subunit, for accumulating the reflection loss, the transmission loss and the absorption loss to obtain a control loss value; The heat loss control parameter conversion subunit is connected to the control loss calculation subunit and is used to convert the control loss value into the corresponding heat control loss.

8. The intelligent control system platform based on the Internet of Things according to claim 7 is characterized in that: The determination module also includes: A control deviation value analysis unit, used for analyzing the magnitude of the control deviation value to obtain an analysis result; An environmental parameter evaluation unit, used to evaluate the influence of the operating state on the control deviation value to obtain an evaluation result; A historical data comparison unit, used to compare the actual control parameter with the control parameter in the historical data to obtain a comparison result; The deviation level classification unit is connected to the control deviation value analysis unit, the environmental parameter evaluation unit and the historical data comparison unit respectively, and determines the deviation degree level according to the analysis result, the evaluation result and the comparison result.

9. The intelligent control system platform based on the Internet of Things according to claim 8, characterized in that: The correction module comprises: A parameter adjustment unit, used for adjusting the initial control parameter according to the deviation degree level to obtain an adjustment result; A safety limiting unit connected to the parameter adjustment unit to ensure that the adjustment result does not exceed the safety control parameter; The feedback calibration unit is connected to the parameter adjustment unit and is used to collect the operation data after the adjustment and feed it back to the determination module.

10. The intelligent control system platform based on the Internet of Things according to claim 9, characterized in that: The safety restriction unit comprises: Parameter monitoring subunit, used to monitor the control parameters of the access control system in real time; The comparison and judgment subunit is connected to the parameter monitoring subunit, and judges whether the control parameters of the access control system are abnormal according to the comparison between the control parameters of the access control system and the security control parameters, wherein: If the control parameter of the access control system is greater than the security control parameter, it is determined that there is an abnormality in the control parameter of the access control system; If the control parameter of the access control system is less than or equal to the security control parameter, it is determined that there is an abnormality in the control parameter of the access control system.

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