CN117812057A - Access control equipment based on digital cloud intercom system and control method thereof - Google Patents

Access control equipment based on digital cloud intercom system and control method thereof Download PDF

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CN117812057A
CN117812057A CN202410231795.0A CN202410231795A CN117812057A CN 117812057 A CN117812057 A CN 117812057A CN 202410231795 A CN202410231795 A CN 202410231795A CN 117812057 A CN117812057 A CN 117812057A
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CN117812057B (en
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陈鑫
陈贤敏
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Fujian Nanyi Intelligent Technology Co ltd
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Fujian Nanyi Intelligent Technology Co ltd
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Abstract

The invention relates to the technical field of intelligent security and protection, and discloses an access control device based on a digital cloud intercom system and a control method thereof.

Description

Access control equipment based on digital cloud intercom system and control method thereof
Technical Field
The invention relates to the technical field of intelligent security, in particular to access control equipment based on a digital cloud intercom system and a control method thereof.
Background
The access control equipment of the digital cloud intercom system belongs to a part of the intelligent security field, and a brand new management mode is brought to the access control system through the combination of a digital technology and a communication technology. In the field of intelligent security, a digital cloud intercom system is an innovative technology emphasizing real-time communication and intelligent decision.
In conventional access control systems, communication efficiency and real-time are often limited. The traditional access control system may have the problems of poor communication performance, slow response speed and the like. These problems result in inconvenience in access control and a decrease in system operation efficiency. Meanwhile, the traditional access control system is difficult to flexibly adapt to different scenes and requirements, so that the communication protocol is stiff, and the complex and changeable actual situation cannot be effectively treated.
Disclosure of Invention
The invention provides an access control device based on a digital cloud intercom system and a control method thereof, which have the advantages that the intelligence and the adaptability of a communication protocol are improved, and meanwhile, part of modules are processed in a cloud end, so that the load of local operation is reduced, the performance consumption of local software is greatly reduced, the beneficial effect of enough space is reserved for improving the communication performance, and the problems that the communication protocol is stiff and complex and changeable actual conditions cannot be effectively treated in the background technology are solved.
The invention provides the following technical scheme: the utility model provides an entrance guard's equipment based on digital cloud intercom system, includes communication data acquisition module, high in the clouds communication data analysis module, high in the clouds performance analysis module, data comparison module, processing module and feedback module, its characterized in that:
the communication data acquisition module is used for acquiring header information TBX and a payload FZX through a network packet capturing technology, acquiring a sending time stamp FSS and a receiving time stamp JSS through recording delay information of data packet transmission, and acquiring a transmission data quantity CSC and a transmission frequency CSP in the transmission process through monitoring data flow;
the cloud communication data analysis module is used for uploading the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud, integrating the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP into a first data set and a second data set after preprocessing, and integrating and calculating the first data set and the second data set through the cloud calculation unit so as to generate a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
the cloud performance analysis module is used for integrating and calculating the transmission performance coefficient NXX and the protocol efficiency coefficient XYX so as to generate a communication performance comprehensive coefficient ZHX, and the specific calculation formula is as follows:
wherein: a1 and a2 are weight coefficients of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, S and D are power parameters of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, a is a first correction constant, a1+.a2+. 0,S +.d, and values of a1, a2, S, D, and a are set by user adjustment;
the data comparison module is used for comparing the communication performance comprehensive coefficient ZHX calculated and obtained by the cloud performance analysis module with a preset first threshold value Y so as to generate a first comparison result, judging whether the communication performance has an optimization space or not according to the first comparison result, maintaining the existing communication protocol mode when the first comparison result shows that the communication performance does not have the optimization space, obtaining the optimization coefficient YH through the cloud performance analysis module when the first comparison result shows that the communication performance has the optimization space, comparing the optimization coefficient YH with a second comparison threshold value R so as to generate a second comparison result, and inputting the second comparison result into the processing module;
the processing module is used for matching the second comparison result with a preset optimization level after the second comparison result of the data comparison module is obtained, generating a matching result, generating the generated matching result to the local processor, executing a corresponding optimization instruction by the local processor according to the matching result, and generating a work log by the executed optimization instruction and sending the work log to the feedback module;
and the feedback module is used for storing the work logs after the work logs generated by the processing module are acquired, so that subsequent retrieval and adjustment of the cloud call protocol are facilitated.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the communication data acquisition module comprises a data acquisition unit, a delay recording unit and a flow statistics unit;
the data capturing unit acquires head information TBX and effective load FZX in the communication information through a network packet capturing technology;
the delay recording unit is used for generating a sending time stamp FSS and a receiving time stamp JSS by recording delay information of data packet transmission, including sending time and receiving time;
the flow statistics unit obtains the transmission data quantity CSC and the transmission frequency CSP in the transmission process through monitoring software, wherein the monitoring software is a Wireshark tool.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the cloud communication data analysis module comprises a local sending unit, a cloud preprocessing unit and a cloud computing unit;
the local sending unit is used for uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud preprocessing unit;
the cloud preprocessing unit is configured to preprocess the header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP, and integrate the preprocessed header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP into a first data set and a second data set, where the first data set includes the header information TBX, the payload FZX, the transmission data amount CSC and the transmission frequency CSP, and the second data set includes the transmission timestamp FSS and the reception timestamp JSS;
the cloud computing unit is used for transmitting the coefficient of performance NXX and the protocol efficiency coefficient XYX, and specific computing formulas are as follows:
wherein: b1, B2, B3, C1, C2 and C3 are weight coefficients, and b1+b2+b3=1, b1 not b2 not b3 not 0, c1+c2+c3 not 1, c1 not c2 not c3 not 0, B is a second correction constant, C is a third correction constant, and the values of B1, B2, B3, C1, C2, C3, B, and C are set by the user.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the data comparison module comprises a first comparison unit, wherein the first comparison unit is used for generating a first comparison result, and the specific mode is as follows:
when the communication performance comprehensive coefficient ZHX is less than or equal to a first threshold Y, representing that the communication protocol has no optimization space;
when the comprehensive coefficient ZHX of the communication performance is larger than the first threshold Y, an optimization space exists for representing the communication protocol.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the data comparison module further comprises a second comparison unit, and the second comparison unit is used for generating a second comparison result, and the specific mode is as follows:
when the second threshold R is less than the optimization coefficient YH and less than or equal to 105 percent of the second threshold R, the first optimization grade is the first optimization grade;
when the second threshold value R is 105 percent less than the optimization coefficient YH which is less than or equal to the second threshold value R is 108.7 percent, the second optimization grade is the second optimization grade;
when the optimization coefficient YH is more than 108.7% of the second threshold R, the third optimization grade is the third optimization grade;
the optimization coefficient YH is constantly greater than the second threshold R.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the optimization coefficient YH is obtained through calculation according to the following formula:
wherein: ZHX is a communication performance comprehensive coefficient, and Y is a first threshold.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the processing module comprises a matching module, a cloud data receipt module and a local execution module, wherein the matching module is used for matching the second comparison result with a preset optimization level, the cloud data receipt module is used for sending the matching result to the local execution module, and the local execution module is used for executing a corresponding optimization instruction according to the matching result.
As an alternative scheme of the access control equipment based on the digital cloud intercom system, the invention comprises the following steps: the optimizing instruction is as follows:
when the matching result is the first optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 5% to improve the transmission efficiency;
when the matching result is the second optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 7% to improve the transmission efficiency and reduce the transmission quantity of 9.8% effective load data;
when the matching result is the third optimization level, the transmission protocol is replaced to adapt to the requirements of large-scale data transmission and high-speed communication, a parallel transmission mechanism is introduced, a plurality of transmission tasks are processed at the same time, and parallelism is improved.
The invention also provides a door control device control method based on the digital cloud intercom system, which comprises the following specific processes:
s1, starting equipment to enable a communication data acquisition module to start to work, acquiring head information TBX and effective load FZX in communication information through a network packet capturing technology, recording delay information of data packet transmission, including a sending timestamp FSS and a receiving timestamp JSS, monitoring data flow, and acquiring transmission data quantity CSC and transmission frequency CSP in the transmission process;
s2, uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to a cloud communication data analysis module, preprocessing the cloud, integrating data into a first data set and a second data set, integrating the first data set and the second data set through a cloud computing unit, and generating a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
s3, carrying out integrated calculation on the transmission performance coefficient NXX and the protocol efficiency coefficient XYX to generate a communication performance comprehensive coefficient ZHX, comparing the communication performance comprehensive coefficient ZHX with a preset first threshold Y to generate a first comparison result, judging whether an optimization space exists for communication performance, if the communication performance comprehensive coefficient ZHX is larger than the first threshold Y, the optimization space exists, otherwise, maintaining the existing communication protocol mode;
s4, when the communication performance has an optimization space, an optimization coefficient YH is obtained through the cloud performance analysis module, the optimization coefficient YH is compared with a second comparison threshold R, a second comparison result is generated, and the second comparison result is input into the processing module;
s5, the processing module matches the preset optimization magnitude according to the second comparison result, a matching result is generated, the result is sent to the processing module, the processing module executes corresponding optimization instructions according to the matching result, the processing module comprises a head information compression algorithm adjustment and a transmission frequency adjustment, the processing module generates a work log and sends the work log to the feedback module, and the feedback module stores the work log for later retrieval and adjustment of a cloud call protocol.
The invention has the following beneficial effects:
1. according to the access control equipment based on the digital cloud intercom system and the control method thereof, the access control equipment based on the digital cloud intercom system is formed through the communication data acquisition module, the cloud communication data analysis module, the cloud performance analysis module, the data comparison module, the processing module and the feedback module, and intelligent communication optimization is achieved through careful data acquisition, cloud powerful data analysis and flexible performance evaluation. The whole framework achieves remarkable effects in the aspects of improving communication efficiency, reducing time delay, optimizing automation and the like. Compared with the traditional means, the system combines cloud computing and digital communication technologies, improves the intelligence and adaptability of a communication protocol, provides a higher-level communication experience for users, and reduces the load of local operation due to the cloud processing of part of modules, thereby greatly reducing the performance consumption of local software and reserving enough space for improving the communication performance.
2. According to the access control equipment based on the digital cloud intercom system and the control method thereof, the intelligent matching of the processing module and the classification of the optimization level can be used for carrying out the optimization of the communication protocol in a targeted manner according to the actual situation, so that unnecessary optimization operation is avoided. The system has higher flexibility due to the introduction of specific execution modes, different optimization strategies can be adopted according to different matching results, and the adaptability and communication efficiency of the system are improved.
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FIG. 1 is a flow chart of the system of the present invention.
Fig. 2 is a process step diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, an access control device based on a digital cloud intercom system includes a communication data acquisition module, a cloud communication data analysis module, a cloud performance analysis module, a data comparison module, a processing module and a feedback module, and is characterized in that:
the communication data acquisition module is used for acquiring header information TBX and a payload FZX through a network packet capturing technology, acquiring a sending time stamp FSS and a receiving time stamp JSS through recording delay information of data packet transmission, and acquiring a transmission data quantity CSC and a transmission frequency CSP in the transmission process through monitoring data flow;
the cloud communication data analysis module is used for uploading the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud, integrating the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP into a first data set and a second data set after preprocessing, and integrating and calculating the first data set and the second data set through the cloud calculation unit so as to generate a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
the cloud performance analysis module is used for integrating and calculating the transmission performance coefficient NXX and the protocol efficiency coefficient XYX so as to generate a communication performance comprehensive coefficient ZHX, and the specific calculation formula is as follows:
wherein: a1 and a2 are weight coefficients of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, S and D are power parameters of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, a is a first correction constant, a1+.a2+. 0,S +.d, and values of a1, a2, S, D, and a are set by user adjustment;
the data comparison module is used for comparing the communication performance comprehensive coefficient ZHX calculated and obtained by the cloud performance analysis module with a preset first threshold value Y so as to generate a first comparison result, judging whether the communication performance has an optimization space or not according to the first comparison result, maintaining the existing communication protocol mode when the first comparison result shows that the communication performance does not have the optimization space, obtaining the optimization coefficient YH through the cloud performance analysis module when the first comparison result shows that the communication performance has the optimization space, comparing the optimization coefficient YH with a second comparison threshold value R so as to generate a second comparison result, and inputting the second comparison result into the processing module;
the processing module is used for matching the second comparison result with a preset optimization level after the second comparison result of the data comparison module is obtained, generating a matching result, generating the generated matching result to the local processor, executing a corresponding optimization instruction by the local processor according to the matching result, and generating a work log by the executed optimization instruction and sending the work log to the feedback module;
and the feedback module is used for storing the work logs after the work logs generated by the processing module are acquired, so that subsequent retrieval and adjustment of the cloud call protocol are facilitated.
In this embodiment: the communication data acquisition module comprehensively acquires key information in the communication process through a network packet capturing technology, wherein the key information comprises head information TBX, a payload FZX, a sending time stamp FSS, a receiving time stamp JSS, a transmission data quantity CSC and a transmission frequency CSP, the key information is uploaded to the cloud end, and the head information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP are helpful for comprehensively knowing the communication quality and the performance, and basic data support is provided.
The cloud communication data analysis module is used for preprocessing the acquired data and integrating the acquired data into a first data set and a second data set. The transmission performance coefficient NXX and the protocol efficiency coefficient XYX are generated through the calculation unit, detailed performance analysis is provided, and a user can flexibly configure the importance degree of each index by adjusting the weight and the power parameter, so that the system is better suitable for different communication requirements.
The cloud performance analysis module integrates the transmission performance coefficient and the protocol efficiency coefficient into a communication performance comprehensive coefficient ZHX, and provides a more flexible performance analysis tool through user adjustable parameters such as weight coefficient and power parameter, which is helpful for users to know the system performance deeply and adjust according to actual demands.
The data comparison module compares the communication performance comprehensive coefficient with a preset threshold value to generate a first comparison result, and judges whether the communication performance has an optimization space or not. And under the condition that the performance has an optimization space, performing the comparison of the second stage, and inputting a second comparison result to the processing module.
The processing module matches the optimization magnitude according to the second comparison result, generates a matching result, and the local processor executes a corresponding optimization instruction according to the matching result, so that immediate system optimization is realized, the automatic optimization flow is facilitated, the system performance is improved, and manual intervention is reduced.
The feedback module collects the work log generated by the processing module, saves and archives the work log for subsequent investigation and analysis. This helps maintenance personnel track the system optimization history, knowing the effect and outcome of each optimization.
Through communication data acquisition module, high in the clouds communication data analysis module, high in the clouds performance analysis module, data comparison module, processing module and feedback module, constituted a access control equipment based on digital cloud intercom system, it has realized intelligent communication optimization through careful data acquisition, high in the clouds data analysis and nimble performance evaluation. Compared with the traditional means, the device combines cloud computing and digital communication technologies, improves the intelligence and adaptability of a communication protocol, provides a higher-level communication experience for users, and reduces the load of local operation due to cloud processing of part of modules, thereby greatly reducing the performance consumption of local software and reserving enough space for improving the communication performance.
Example 2
Referring to fig. 1, the communication data acquisition module includes a data capturing unit, a delay recording unit, and a flow statistics unit;
the data capturing unit acquires head information TBX and effective load FZX in the communication information through a network packet capturing technology;
the delay recording unit is used for generating a sending time stamp FSS and a receiving time stamp JSS by recording delay information of data packet transmission, including sending time and receiving time;
the flow statistics unit obtains the transmission data quantity CSC and the transmission frequency CSP in the transmission process through monitoring software, wherein the monitoring software is a Wireshark tool.
In this embodiment: the data capturing unit is an important component in the communication data acquisition module, and successfully acquires the head information TBX and the effective load FZX in the communication information through a network packet capturing technology. The existence of the module enables the system to comprehensively acquire key information of the communication process, provides sufficient data support for subsequent performance analysis and optimization, and provides necessary basis for performance optimization by capturing head information and effective load and enabling the system to more comprehensively understand communication characteristics.
The delay recording unit is used for generating a sending time stamp FSS and a receiving time stamp JSS by recording delay information of data packet transmission, so that the system can accurately measure and record the transmission delay of the data packet, key information of time dimension is provided for subsequent performance analysis, and the system can know the characteristics of communication delay deeply through the recording of the delay, thereby being beneficial to identifying potential performance bottlenecks and providing important basis for real-time monitoring and optimization of performance.
The flow statistics unit successfully acquires the transmission data quantity CSC and the transmission frequency CSP in the transmission process through monitoring software, so that the device can comprehensively know the data flow condition in the communication process, provides key data support for performance analysis, can better know the communication load through statistics of the transmission data quantity and the transmission frequency, and is beneficial to adjusting the transmission strategy to improve the communication efficiency.
The communication data acquisition module of the access control equipment realizes comprehensive, accurate and rich-dimension communication information acquisition through the organic combination of the data acquisition unit, the delay recording unit and the flow statistics unit. Compared with the traditional means, the device provides a more flexible and intelligent communication data acquisition means for the access control equipment through the network packet capturing technology, the time delay information recording and the flow statistics, improves the comprehensiveness and the accuracy of data acquisition, and has practical guiding significance in subsequent performance analysis and optimization.
Example 3
Referring to fig. 1, the cloud communication data analysis module includes a local sending unit, a cloud preprocessing unit and a cloud computing unit;
the local sending unit is used for uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud preprocessing unit;
the cloud preprocessing unit is configured to preprocess the header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP, and integrate the preprocessed header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP into a first data set and a second data set, where the first data set includes the header information TBX, the payload FZX, the transmission data amount CSC and the transmission frequency CSP, and the second data set includes the transmission timestamp FSS and the reception timestamp JSS;
the cloud computing unit is used for transmitting the coefficient of performance NXX and the protocol efficiency coefficient XYX, and specific computing formulas are as follows:
wherein: b1, B2, B3, C1, C2 and C3 are weight coefficients, and b1+b2+b3=1, b1 not b2 not b3 not 0, c1+c2+c3 not 1, c1 not c2 not c3 not 0, B is a second correction constant, C is a third correction constant, and the values of B1, B2, B3, C1, C2, C3, B, and C are set by the user.
In this embodiment: the local sending unit is a key component of the cloud communication data analysis module and is responsible for uploading acquired communication information to the cloud preprocessing unit, uploading head information TBX, effective load FZX, sending time stamp FSS, receiving time stamp JSS, transmission data quantity CSC and transmission frequency CSP to the cloud in real time, and providing real-time and comprehensive communication information for the cloud to lay a foundation for subsequent preprocessing and performance analysis.
The cloud preprocessing unit is used for preprocessing locally transmitted data and integrating the locally transmitted data into a first data set and a second data set, so that a cloud system can manage and analyze a large amount of communication data more efficiently, and the readability and the processibility of the data are improved.
The cloud computing unit is a core in the cloud communication data analysis module and is responsible for computing a transmission performance coefficient NXX and a protocol efficiency coefficient XYX. Through the weight coefficient and the correction constant which can be adjusted by the user, the system realizes a more flexible performance calculation mode. The module enables the access control equipment to adjust performance calculation parameters according to actual requirements so as to better adapt to different communication scenes and optimization targets.
The whole cloud communication data analysis module realizes efficient processing and performance evaluation of communication information through the synergistic effect of the local sending unit, the cloud preprocessing unit and the cloud computing unit. The improvement enables the system to have flexibility and intelligence, a user can adjust key parameters of performance calculation according to actual demands, the adaptability of the system is improved, compared with a traditional communication analysis means, the device introduces a cloud computing unit, achieves more efficient processing and more flexible performance adjustment of large-scale data, and further improves the communication performance and intelligence of access control equipment.
Example 4
Referring to fig. 1, the data comparison module includes a first comparison unit, where the first comparison unit is configured to generate a first comparison result, and the specific manner is as follows:
when the communication performance comprehensive coefficient ZHX is less than or equal to a first threshold Y, representing that the communication protocol has no optimization space;
when the comprehensive coefficient ZHX of the communication performance is larger than the first threshold Y, an optimization space exists for representing the communication protocol.
The data comparison module further comprises a second comparison unit, and the second comparison unit is used for generating a second comparison result, and the specific mode is as follows:
when the second threshold R is less than the optimization coefficient YH and less than or equal to 105 percent of the second threshold R, the first optimization grade is the first optimization grade;
when the second threshold value R is 105 percent less than the optimization coefficient YH which is less than or equal to the second threshold value R is 108.7 percent, the second optimization grade is the second optimization grade;
when the optimization coefficient YH is more than 108.7% of the second threshold R, the third optimization grade is the third optimization grade;
the optimization coefficient YH is constantly greater than the second threshold R.
The optimization coefficient YH is obtained through calculation according to the following formula:
wherein: ZHX is a communication performance comprehensive coefficient, and Y is a first threshold.
In this embodiment: the first comparison unit is an important component of the data comparison module, and has the main task of generating a first comparison result, and by comparing the communication performance comprehensive coefficient ZHX with a preset first threshold Y, when the communication performance comprehensive coefficient ZHX is smaller than or equal to the first threshold Y, the current performance of the communication protocol is indicated to reach a higher level without further optimization; on the contrary, when the ZHX is larger than the first threshold Y, the communication protocol is indicated to have an optimization space, and the comparison mechanism is helpful for the device to judge whether the communication performance reaches the expected level in real time, so that unnecessary optimization operation is avoided, and the intelligence and the efficiency of the device are improved.
The second comparison unit further refines the judgment of the optimization level, and determines the specific optimization level of the communication protocol through the relation between the calculated optimization coefficient YH and the second threshold R. The grading mechanism enables the device to know the optimization space of the communication performance more carefully, and accordingly, a corresponding optimization strategy is adopted. By means of dynamic calculation of the optimization coefficient and comparison with the second threshold value, the device can achieve self-adaptive optimization, and performance requirements under different scenes can be met more flexibly.
The calculation formula of the optimization coefficient YH provides quantitative measurement of the communication performance through the relation between the communication performance comprehensive coefficient ZHX and the first threshold Y, and the system can know the deviation degree of the current communication performance relative to the preset threshold through calculating the optimization coefficient YH so as to determine whether to optimize. The design of the formula enables the optimal judgment to be more objective, and is beneficial to the intelligent optimal decision of the system according to the actual performance level.
The first comparison unit and the second comparison unit realize real-time monitoring of communication performance and judgment of self-adaptive optimization through comparison of calculation of the comprehensive performance coefficient and the optimization coefficient and a preset threshold, and an optimization coefficient calculation formula provides a more objective and quantized performance measurement tool for the device.
Example 5
Referring to fig. 1, the processing module includes a matching module, a cloud data receipt module, and a local execution module, where the matching module is configured to match the second comparison result with a preset optimization level, the cloud data receipt module is configured to send the matching result to the local execution module, and the local execution module is configured to execute a corresponding optimization instruction according to the matching result.
The optimizing instruction is as follows:
when the matching result is the first optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 5% to improve the transmission efficiency;
when the matching result is the second optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 7% to improve the transmission efficiency and reduce the transmission quantity of 9.8% effective load data;
when the matching result is the third optimization level, the transmission protocol is replaced to adapt to the requirements of large-scale data transmission and high-speed communication, a parallel transmission mechanism is introduced, a plurality of transmission tasks are processed at the same time, and parallelism is improved.
In this embodiment: the processing module is a core responsible for actual optimization operation in the system and comprises a matching module, a cloud data receipt module and a local execution module. And the matching module is used for determining the optimization level of the communication protocol by matching the second comparison result with the preset optimization level. The cloud data receipt module transmits the matching result to the local execution module, and the local execution module is responsible for executing corresponding optimization instructions according to the matching result. The module enables the system to realize dynamic optimization decision, adjusts the communication protocol according to actual conditions, and improves the adaptability and efficiency of the system.
The specific implementation mode adopts corresponding optimization instructions according to different optimization grades of the matching result, when the matching result is the first optimization grade, the system adjusts the header information compression algorithm, and the transmission frequency is adjusted by 5% upwards, so that the transmission efficiency is improved. When the matching result is the second optimization level, the system also adjusts the header information compression algorithm, adjusts the transmission frequency by 7%, reduces the transmission quantity of 9.8% effective load data, and further optimizes the communication performance. And when the matching result is the third optimization level, the system changes the transmission protocol, introduces a parallel transmission mechanism, and simultaneously processes a plurality of transmission tasks so as to adapt to the requirements of large-scale data transmission and high-speed communication. The series of specific implementation modes enable the device to flexibly cope with different optimization demands, realize dynamic adjustment of communication protocols and improve performance and efficiency of the device.
Through intelligent matching of the processing modules and classification of optimization levels, communication protocols can be optimized in a targeted manner according to actual conditions, and unnecessary optimization operation is avoided. The system has more flexibility due to the introduction of a specific execution mode, different optimization strategies can be adopted according to different matching results, the adaptability and the communication efficiency of the system are improved, and compared with the traditional static optimization mode, the dynamic and intelligent optimization mechanism enables the communication protocol management of the access control equipment to be more intelligent and efficient.
The invention also provides a control method of the access control equipment based on the digital cloud intercom system, please refer to fig. 2, wherein:
s1, starting equipment to enable a communication data acquisition module to start to work, acquiring head information TBX and effective load FZX in communication information through a network packet capturing technology, recording delay information of data packet transmission, including a sending timestamp FSS and a receiving timestamp JSS, monitoring data flow, and acquiring transmission data quantity CSC and transmission frequency CSP in the transmission process;
s2, uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to a cloud communication data analysis module, preprocessing the cloud, integrating data into a first data set and a second data set, integrating and calculating the first data set and the second data set through a calculation unit, and generating a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
s3, carrying out integrated calculation on the transmission performance coefficient NXX and the protocol efficiency coefficient XYX to generate a communication performance comprehensive coefficient ZHX, comparing the communication performance comprehensive coefficient ZHX with a preset first threshold Y to generate a first comparison result, judging whether an optimization space exists in the communication performance, if the communication performance comprehensive coefficient ZHX is more than Y, then the optimization space exists, otherwise, maintaining the existing communication protocol mode;
s4, when the communication performance has an optimization space, an optimization coefficient YH is obtained through the cloud performance analysis module, the YH is compared with a second comparison threshold R, a second comparison result is generated, and the second comparison result is input into the processing module;
s5, the processing module matches the preset optimization magnitude according to the second comparison result, a matching result is generated, the result is sent to the processing module, the processing module executes corresponding optimization instructions according to the matching result, the processing module comprises a head information compression algorithm adjustment and a transmission frequency adjustment, the processing module generates a work log and sends the work log to the feedback module, and the feedback module stores the work log for later retrieval and adjustment of a cloud call protocol.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the scope of the invention.

Claims (9)

1. The utility model provides an entrance guard's equipment based on digital cloud intercom system, includes communication data acquisition module, high in the clouds communication data analysis module, high in the clouds performance analysis module, data comparison module, processing module and feedback module, its characterized in that:
the communication data acquisition module is used for acquiring header information TBX and a payload FZX through a network packet capturing technology, acquiring a sending time stamp FSS and a receiving time stamp JSS through recording delay information of data packet transmission, and acquiring a transmission data quantity CSC and a transmission frequency CSP in the transmission process through monitoring data flow;
the cloud communication data analysis module is used for uploading the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud, integrating the acquired header information TBX, the payload FZX, the sending timestamp FSS, the receiving timestamp JSS, the transmission data quantity CSC and the transmission frequency CSP into a first data set and a second data set after preprocessing, and integrating and calculating the first data set and the second data set through the cloud calculation unit so as to generate a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
the cloud performance analysis module is used for integrating and calculating the transmission performance coefficient NXX and the protocol efficiency coefficient XYX so as to generate a communication performance comprehensive coefficient ZHX, and the specific calculation formula is as follows:
wherein: a1 and a2 are weight coefficients of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, S and D are power parameters of the transmission performance coefficient NXX and the protocol efficiency coefficient XYX, a is a first correction constant, a1+.a2+. 0,S +.d, and values of a1, a2, S, D, and a are set by user adjustment;
the data comparison module is used for comparing the communication performance comprehensive coefficient ZHX calculated and obtained by the cloud performance analysis module with a preset first threshold value Y so as to generate a first comparison result, judging whether the communication performance has an optimization space or not according to the first comparison result, maintaining the existing communication protocol mode when the first comparison result shows that the communication performance does not have the optimization space, obtaining the optimization coefficient YH through the cloud performance analysis module when the first comparison result shows that the communication performance has the optimization space, comparing the optimization coefficient YH with a second comparison threshold value R so as to generate a second comparison result, and inputting the second comparison result into the processing module;
the processing module is used for matching the second comparison result with a preset optimization level after the second comparison result of the data comparison module is obtained, generating a matching result, generating the generated matching result to the local processor, executing a corresponding optimization instruction by the local processor according to the matching result, and generating a work log by the executed optimization instruction and sending the work log to the feedback module;
and the feedback module is used for storing the work logs after the work logs generated by the processing module are acquired, so that subsequent retrieval and adjustment of the cloud call protocol are facilitated.
2. The digital cloud intercom-based access control device of claim 1, wherein: the communication data acquisition module comprises a data acquisition unit, a delay recording unit and a flow statistics unit;
the data capturing unit acquires head information TBX and effective load FZX in the communication information through a network packet capturing technology;
the delay recording unit is used for generating a sending time stamp FSS and a receiving time stamp JSS by recording delay information of data packet transmission, including sending time and receiving time;
the flow statistics unit obtains the transmission data quantity CSC and the transmission frequency CSP in the transmission process through monitoring software, wherein the monitoring software is a Wireshark tool.
3. The digital cloud intercom-based access control device of claim 1, wherein: the cloud communication data analysis module comprises a local sending unit, a cloud preprocessing unit and a cloud computing unit;
the local sending unit is used for uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to the cloud preprocessing unit;
the cloud preprocessing unit is configured to preprocess the header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP, and integrate the preprocessed header information TBX, the payload FZX, the transmission timestamp FSS, the reception timestamp JSS, the transmission data amount CSC and the transmission frequency CSP into a first data set and a second data set, where the first data set includes the header information TBX, the payload FZX, the transmission data amount CSC and the transmission frequency CSP, and the second data set includes the transmission timestamp FSS and the reception timestamp JSS;
the cloud computing unit is used for transmitting the coefficient of performance NXX and the protocol efficiency coefficient XYX, and specific computing formulas are as follows:
wherein: b1, B2, B3, C1, C2 and C3 are weight coefficients, and b1+b2+b3=1, b1 not b2 not b3 not 0, c1+c2+c3 not 1, c1 not c2 not c3 not 0, B is a second correction constant, C is a third correction constant, and the values of B1, B2, B3, C1, C2, C3, B, and C are set by the user.
4. The digital cloud intercom-based access control device of claim 1, wherein: the data comparison module comprises a first comparison unit, wherein the first comparison unit is used for generating a first comparison result, and the specific mode is as follows:
when the communication performance comprehensive coefficient ZHX is less than or equal to a first threshold Y, representing that the communication protocol has no optimization space;
when the comprehensive coefficient ZHX of the communication performance is larger than the first threshold Y, an optimization space exists for representing the communication protocol.
5. The digital cloud intercom-based access control device of claim 1, wherein: the data comparison module further comprises a second comparison unit, and the second comparison unit is used for generating a second comparison result, and the specific mode is as follows:
when the second threshold R is less than the optimization coefficient YH and less than or equal to 105 percent of the second threshold R, the first optimization grade is the first optimization grade;
when the second threshold value R is 105 percent less than the optimization coefficient YH which is less than or equal to the second threshold value R is 108.7 percent, the second optimization grade is the second optimization grade;
when the optimization coefficient YH is more than 108.7% of the second threshold R, the third optimization grade is the third optimization grade;
the optimization coefficient YH is constantly greater than the second threshold R.
6. The digital cloud intercom-based access control device of claim 1, wherein: the optimization coefficient YH is obtained through calculation according to the following formula:
wherein: ZHX is a communication performance comprehensive coefficient, and Y is a first threshold.
7. The digital cloud intercom-based access control device of claim 1, wherein: the processing module comprises a matching module, a cloud data receipt module and a local execution module, wherein the matching module is used for matching the second comparison result with a preset optimization level, the cloud data receipt module is used for sending the matching result to the local execution module, and the local execution module is used for executing a corresponding optimization instruction according to the matching result.
8. The digital cloud intercom-based access control device of claim 1, wherein: the optimizing instruction is as follows:
when the matching result is the first optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 5% to improve the transmission efficiency;
when the matching result is the second optimization level, adjusting a header information compression algorithm, and adjusting the transmission frequency by 7% to improve the transmission efficiency and reduce the transmission quantity of 9.8% effective load data;
when the matching result is the third optimization level, the transmission protocol is replaced to adapt to the requirements of large-scale data transmission and high-speed communication, a parallel transmission mechanism is introduced, a plurality of transmission tasks are processed at the same time, and parallelism is improved.
9. A door control device control method based on a digital cloud intercom system is characterized in that: the access control device based on the digital cloud intercom system comprises any one of the above claims 1-8, and the specific flow is as follows:
s1, starting equipment to enable a communication data acquisition module to start to work, acquiring head information TBX and effective load FZX in communication information through a network packet capturing technology, recording delay information of data packet transmission, including a sending timestamp FSS and a receiving timestamp JSS, monitoring data flow, and acquiring transmission data quantity CSC and transmission frequency CSP in the transmission process;
s2, uploading the acquired header information TBX, the payload FZX, the sending time stamp FSS, the receiving time stamp JSS, the transmission data quantity CSC and the transmission frequency CSP to a cloud communication data analysis module, preprocessing the cloud, integrating data into a first data set and a second data set, integrating the first data set and the second data set through a cloud computing unit, and generating a transmission performance coefficient NXX and a protocol efficiency coefficient XYX;
s3, carrying out integrated calculation on the transmission performance coefficient NXX and the protocol efficiency coefficient XYX to generate a communication performance comprehensive coefficient ZHX, comparing the communication performance comprehensive coefficient ZHX with a preset first threshold Y to generate a first comparison result, judging whether an optimization space exists for communication performance, if the communication performance comprehensive coefficient ZHX is larger than the first threshold Y, the optimization space exists, otherwise, maintaining the existing communication protocol mode;
s4, when the communication performance has an optimization space, an optimization coefficient YH is obtained through the cloud performance analysis module, the optimization coefficient YH is compared with a second comparison threshold R, a second comparison result is generated, and the second comparison result is input into the processing module;
s5, the processing module matches the preset optimization magnitude according to the second comparison result, a matching result is generated, the result is sent to the processing module, the processing module executes corresponding optimization instructions according to the matching result, the processing module comprises a head information compression algorithm adjustment and a transmission frequency adjustment, the processing module generates a work log and sends the work log to the feedback module, and the feedback module stores the work log for later retrieval and adjustment of a cloud call protocol.
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