Internet of Things management platform based on big data

Abstract

The invention discloses an Internet of Things management platform based on big data, and belongs to the technical field of Internet of Things management. The method is used for solving the technical problem of poor autonomous multi-dimensional supervision and analysis optimization management effect of an Internet of Things application protocol in an existing scheme. According to the method, protocol application state values and protocol types corresponding to different protocols are obtained by performing expansion calculation on supervision processing data of different aspects corresponding to different protocols in the early stage, and all devices applied by the different protocols are dynamically marked, and the different protocols are dynamically marked, so that the protocol application state values and the protocol types are obtained. The overall application state and the local application state of all the protocols applied by the Internet of Things platform are supervised, processed and analyzed, and the overall dynamic optimization management and the local dynamic optimization management are adaptively performed on all the applied protocols according to the analysis result. And the analysis optimization management effect of the overall level and the local level of the application of the Internet of Things platform is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things management, and particularly relates to an Internet of Things management platform based on big data. Background Art

[0002] An Internet of Things management platform is a software solution that allows users to centrally manage and control physical devices and sensors connected to the Internet. These platforms provide various functions to support the deployment, operation, and maintenance of Internet of Things systems.

[0003] Existing Internet of Things management platforms have defects during operation. Since there are a large number of protocol standards involved in the Internet of Things, in order to achieve compatibility with multiple protocols, Internet of Things platforms are often designed very complexly. This results in that in a specific Internet of Things application, when only one protocol standard is needed, the remaining unused functions become redundant and complicated, which is not conducive to the rapid implementation of the application. There is also a problem that it is impossible to conduct different aspects of supervision and processing analysis on all protocols applied by the Internet of Things platform, and dynamically optimize the management of all protocols applied by the Internet of Things platform according to the analysis results, resulting in poor autonomous multi-dimensional supervision and analysis optimization management effects of Internet of Things application protocols. Summary of the Invention

[0004] The purpose of the present invention is to provide an Internet of Things management platform based on big data to solve the technical problem of poor autonomous multi-dimensional supervision and analysis optimization management effects of Internet of Things application protocols in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An Internet of Things management platform based on big data includes an Internet of Things platform, an Internet of Things platform protocol support supervision and processing module, and an Internet of Things platform protocol support evaluation and management module that are communicatively connected to the Internet of Things platform;

[0007] The Internet of Things platform protocol support supervision and processing module is used to conduct supervision and data statistics on different application aspects of all protocols applied by the Internet of Things platform, process and analyze the supervision data of different protocols in different application aspects, dynamically mark all devices applied by different protocols according to the analysis results, and dynamically mark different protocols;

[0008] Among them, the dynamic marking of the device includes normal device or abnormal device;

[0009] The dynamic marking of the protocol includes normal protocol or abnormal protocol;

[0010] The Internet of Things platform protocol support evaluation and management module is used to integrate and calculate the regulatory processing data of all aspects of the protocols applied by the Internet of Things platform, perform processing and analysis on the multi-dimensional application status of all applied protocols, and adaptively perform overall optimization management on all applied protocols of the Internet of Things platform, as well as perform local optimization management on the subsequent applications of different protocols;

[0011] Among them, performing overall optimization management includes maintaining the existing operation of all protocols applied by the Internet of Things platform, performing first optimization management on the existing operation of all protocols applied by the Internet of Things platform, or performing second optimization management on the existing operation of all protocols applied by the Internet of Things platform;

[0012] Performing local optimization management includes implementing targeted low-frequency interaction optimization management for all abnormal protocols, maintaining the existing operation of normal protocols, or implementing targeted high-frequency interaction optimization management for normal protocols.

[0013] Preferably, obtain all the protocols applied by the Internet of Things platform and number and mark them, and sequentially obtain all the devices to which different protocols are applied;

[0014] When digitally processing the application impacts corresponding to all the devices to which different protocols are applied, sequentially traverse and match different devices with the device impact table to obtain the device impact values corresponding to different devices;

[0015] And, obtain the start application timestamps corresponding to different devices to which different protocols are applied, and sequentially obtain the last application timestamps corresponding to different devices, and calculate the application interval time difference between the last application timestamp corresponding to different devices and the current real-time Beijing time.

[0016] Preferably, when classifying the application normal status of different devices to which different protocols are applied, sequentially compare and judge the application interval time differences corresponding to different devices to which different protocols are applied with the preset application interval standard time difference;

[0017] Mark the devices whose application interval time differences are less than the application interval standard time difference as normal devices;

[0018] Mark the devices whose application interval time differences are greater than or equal to the application interval standard time difference as abnormal devices.

[0019] Preferably, when classifying the application normal types of different normal devices to which different protocols are applied, obtain the total number of interactions corresponding to different normal devices to which different protocols are applied, and through the formula Calculate and obtain the application interaction frequency value YJi corresponding to different normal devices; where i is different normal devices to which the protocol has been applied, i = 1, 2, 3, ……, n; n is a positive integer; NJi is the total number of interactions corresponding to different normal devices; TCi is the total duration of application corresponding to different normal devices; XJi is the standard value of application interaction frequency corresponding to different normal devices;

[0020] Mark the normal devices to which the application interaction frequency value is less than 0 as normal interaction devices;

[0021] Mark the normal devices to which the application interaction frequency value is greater than or equal to 0 as high-frequency interaction devices.

[0022] Preferably, all abnormal devices, normal interaction devices, and high-frequency interaction devices obtained through regulatory processing corresponding to different protocols are calculated by the formula to obtain the protocol application status value XY corresponding to different protocols; where ZY, ZZ, and ZG are the abnormal interaction values corresponding to all abnormal devices corresponding to the protocol, the normal interaction values corresponding to all normal interaction devices, and the high-frequency interaction values corresponding to all high-frequency interaction devices respectively; α and β are different proportionality coefficients, and 0 < α < 1 < β; ZB is the protocol application standard value corresponding to different protocols;

[0023] Mark the protocol to which the protocol application status value is less than 1 as a normal protocol;

[0024] Mark the protocol to which the protocol application status value is greater than or equal to 1 as an abnormal protocol.

[0025] Preferably, when integrating and evaluating the application supervision data corresponding to all protocols applied by the Internet of Things platform, through the formula calculate and obtain the first platform application validity PYX1 corresponding to all protocols applied by the Internet of Things platform; where NS and NZ are the total number of protocols used by the Internet of Things platform and the total number of protocols supporting applications respectively; B1 is the platform application specification value corresponding to the protocol applied by the Internet of Things platform;

[0026] In addition, count the total number of all abnormal protocols, and calculate and obtain the second platform application validity PYX2 corresponding to all protocols applied by the Internet of Things platform through the formula where NY is the total number of all abnormal protocols; B2 is the abnormal protocol specification value corresponding to the protocol applied by the Internet of Things platform.

[0027] Preferably, analyze the data of the first platform application validity and the second platform application validity obtained by calculation through the platform application recognition model, and output the platform protocol application status value PZ corresponding to all protocols applied by the Internet of Things platform;

[0028] Among them, the expression of the platform application recognition model is

[0029] Maintain the existing operations of all the protocols applied by the Internet of Things platform according to the platform protocol application status value of 0;

[0030] Conduct first optimization management on the existing operations of all the protocols applied by the Internet of Things platform according to the platform protocol application status value of 1;

[0031] Conduct second optimization management on the existing operations of all the protocols applied by the Internet of Things platform according to the platform protocol application status value of 2.

[0032] Preferably, when conducting local optimization management on the subsequent applications of different protocols, conduct targeted low-frequency interaction optimization management on all abnormal protocols.

[0033] Preferably, through the formula Calculate and obtain the protocol application status value XZ corresponding to different normal protocols; in the formula, GB is the high-frequency interaction standard value corresponding to different normal protocols;

[0034] If the protocol application status value is less than or equal to 1, maintain the existing operations of the normal protocol to which it belongs;

[0035] Otherwise, conduct targeted high-frequency interaction optimization management on the normal protocol to which it belongs.

[0036] Compared with the existing solutions, the beneficial effects achieved by the present invention:

[0037] By expanding and calculating the regulatory processing data corresponding to different aspects of different protocols in the early stage, the present invention obtains the protocol application status value and protocol type corresponding to different protocols, dynamically marks all the devices to which different protocols have been applied, and dynamically marks different protocols, realizing multi-dimensional supervision and processing marking of the applications of the Internet of Things platform, and improving the autonomous multi-dimensional supervision effect of the Internet of Things application protocols.

[0038] By conducting supervision and processing analysis on the overall application status and local application status of all the protocols applied by the Internet of Things platform, and adaptively conducting overall dynamic optimization management and local dynamic optimization management on all the applied protocols according to the analysis results, the present invention improves the analysis optimization management effects at the overall level and local level of the Internet of Things platform applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 It is a block diagram of the modules of an Internet of Things management platform based on big data according to the present invention.

[0041] Figure 2It is a flowchart of the operation of an Internet of Things management platform based on big data according to the present invention. Specific embodiments

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] As Figures 1 to 2 shown, the present invention is an Internet of Things management platform based on big data, including an Internet of Things platform, and an Internet of Things platform protocol support supervision and processing module and an Internet of Things platform protocol support evaluation and management module that are communicatively connected to the Internet of Things platform;

[0044] The Internet of Things platform protocol support supervision and processing module is used to supervise and perform data statistics on all protocols applied by the Internet of Things platform in different application aspects, process and analyze the supervision data of different protocols in different application aspects, dynamically mark all devices applied by different protocols according to the analysis results, and dynamically mark different protocols; including:

[0045] Obtain all the protocols applied by the Internet of Things platform and number and mark them, and sequentially obtain all the devices applied by different protocols;

[0046] Among them, the interaction between the Internet of Things platform and the device involves protocols including but not limited to transport layer protocols and application layer protocols; the transport layer protocols include MQTT, CoAP, HTTP / HTTPS, WebSocket, etc.; the application layer protocols include LWM2M, AMQP, DDS, etc.;

[0047] When digitally processing the application impacts corresponding to all the devices applied by different protocols, sequentially traverse and match different devices with the device impact table to obtain the device impact values corresponding to different devices;

[0048] Among them, the device impact table pre-stores a number of sample devices and their device impact values, and different sample devices are pre-associated with a corresponding device impact value for digitally representing the device impact corresponding to the sample devices; the specific value of the device impact value can be determined according to its application value or according to the previous test data;

[0049] Moreover, obtain the start application timestamps corresponding to different devices to which different protocols have been applied, and sequentially obtain the last application timestamps corresponding to different devices, and calculate the application interval time difference between the last application timestamp corresponding to different devices and the current real-time Beijing time; the units of the start application timestamp and the last application timestamp are both days, and the unit of the application interval time difference is also days;

[0050] When classifying the application normal status of different devices to which different protocols have been applied, sequentially compare and judge the application interval time differences corresponding to different devices to which different protocols have been applied with the preset application interval standard time difference; the application interval standard time difference can be determined according to the actual application requirements of the actual application scenario, or can be determined according to the previous operation test data of the Internet of Things platform;

[0051] Mark the devices whose application interval time difference is less than the application interval standard time difference as normal devices;

[0052] Mark the devices whose application interval time difference is greater than or equal to the application interval standard time difference as abnormal devices;

[0053] Moreover, when classifying the application normal types of different normal devices to which different protocols have been applied, obtain the total number of interactions corresponding to different normal devices to which different protocols have been applied, and through the formula calculate and obtain the application interaction frequency value YJi corresponding to different normal devices; in the formula, i is different normal devices to which the protocol has been applied, i = 1, 2, 3,..., n; n is a positive integer, which is the total number of all normal devices to which the protocol has been applied; NJi is the total number of interactions corresponding to different normal devices; TCi is the total application duration corresponding to different normal devices, and the unit is days; XJi is the application interaction frequency standard value corresponding to different normal devices, which can be determined according to the actual application requirements of the actual application scenario, or can be determined according to the previous operation test data of the Internet of Things platform;

[0054] Among them, the application interaction frequency value is used to integrate and calculate the different interaction data corresponding to normal devices to digitally represent the corresponding application normal type;

[0055] Mark the normal devices whose application interaction frequency value is less than 0 as normal interaction devices;

[0056] Mark the normal devices whose application interaction frequency value is greater than or equal to 0 as high-frequency interaction devices;

[0057] In the embodiments of the present invention, by classifying the application normal states of different devices applied with different protocols, and further classifying the application normal types of different normal devices according to the classification results of the processing, it is possible to obtain the application states corresponding to different devices applied with different protocols, and at the same time, it can provide reliable individual device supervision and processing data support for the subsequent supervision and processing analysis of different aspects corresponding to different protocols.

[0058] All abnormal devices, normal interaction devices, and high-frequency interaction devices obtained through the supervision and processing corresponding to different protocols are calculated through the formula to obtain the protocol application status value XY corresponding to different protocols; in the formula, ZY, ZZ, and ZG are the abnormal interaction values corresponding to all abnormal devices corresponding to the protocol, the normal interaction values corresponding to all normal interaction devices corresponding to the protocol, and the high-frequency interaction values corresponding to all high-frequency interaction devices corresponding to the protocol, respectively, which are obtained by summing the device influence values of all devices with the same interaction state; α and β are different proportionality coefficients, and 0 < α < 1 < β, α can take the value of 0.751, and β can take the value of 1.633; ZB is the protocol application standard value corresponding to different protocols, which is determined according to the existing application requirement data corresponding to the protocol, or can also be determined according to the actual application requirements of the actual application scenario;

[0059] Mark the protocol to which the protocol application status value less than 1 belongs as a normal protocol;

[0060] Mark the protocol to which the protocol application status value greater than or equal to 1 belongs as an abnormal protocol;

[0061] In the embodiments of the present invention, through the extended calculation of the supervision and processing data corresponding to different aspects of different protocols in the early stage, the protocol application status values and protocol types corresponding to different protocols are obtained, and all devices applied with different protocols are dynamically marked, as well as different protocols are dynamically marked, realizing multi-dimensional supervision and processing marking of the applications of the Internet of Things platform, and improving the autonomous multi-dimensional supervision effect of the Internet of Things application protocols.

[0062] The protocol support evaluation and management module of the Internet of Things platform is used to integrate and calculate the supervision and processing data of different aspects of all protocols applied to the Internet of Things platform, perform multi-dimensional application status processing and analysis on all applied protocols, and adaptively perform overall optimization management on all protocols applied to the Internet of Things platform according to the analysis results, and perform local optimization management on the subsequent applications of different protocols; including:

[0063] When integrating and evaluating the application supervision data corresponding to all protocols applied to the Internet of Things platform, through the formula Calculate and obtain the first platform application validity PYX1 corresponding to all the protocols applied by the Internet of Things platform; in the formula, NS and NZ are respectively the total number of protocols used by the Internet of Things platform and the total number of protocols supported for application; B1 is the platform application specification value corresponding to the protocol applied by the Internet of Things platform, which can be determined according to the specific application requirement data of the Internet of Things platform or the previous operation test data of the Internet of Things platform;

[0064] And, count the total number of all abnormal protocols, and through the formula Calculate and obtain the second platform application validity PYX2 corresponding to all the protocols applied by the Internet of Things platform; in the formula, NY is the total number of all abnormal protocols; B2 is the abnormal protocol specification value corresponding to the protocol applied by the Internet of Things platform, which can be determined according to the specific application requirement data of the Internet of Things platform or the previous operation test data of the Internet of Things platform;

[0065] It should be explained that the first platform application validity and the second platform application validity are used to integrally calculate the application data corresponding to all the protocols applied by the Internet of Things platform from different aspects, so as to digitally represent the application effect corresponding to the Internet of Things platform;

[0066] Perform data analysis on the first platform application validity and the second platform application validity obtained by calculation through the platform application recognition model, and output the platform protocol application status value PZ corresponding to all the protocols applied by the Internet of Things platform;

[0067] Among them, the expression of the platform application recognition model is

[0068] The platform protocol application status value includes numerical values of 0, 1, or 2;

[0069] The platform protocol application status value with a numerical value of 0 indicates that the application status of all the protocols applied by the Internet of Things platform is normal;

[0070] The platform protocol application status value with a numerical value of 1 indicates that the application status of all the protocols applied by the Internet of Things platform has a first anomaly;

[0071] The platform protocol application status value with a numerical value of 2 indicates that the application status of all the protocols applied by the Internet of Things platform has a second anomaly;

[0072] Among them, the first anomaly in the application status of all protocols means that there are anomalies in the application of some protocols among all the protocols of the affiliated Internet of Things platform; the second anomaly in the application status of all protocols means that there are anomalies in the application of all the protocols among all the protocols of the affiliated Internet of Things platform;

[0073] Maintain the existing operation of all the protocols applied by the Internet of Things platform according to the platform protocol application status value with a numerical value of 0;

[0074] Perform first optimization management on the existing operations of all the protocols applied to the IoT platform according to the platform protocol application status value of 1;

[0075] Perform second optimization management on the existing operations of all the protocols applied to the IoT platform according to the platform protocol application status value of 2;

[0076] Among them, the first optimization management can specifically be to implement targeted supplementation, modification, and improvement for anomalies in protocol applications; the second optimization management can specifically be to implement comprehensive supplementation, modification, and improvement for anomalies in all protocol applications;

[0077] In the embodiments of the present invention, by supervising, processing, and analyzing the overall application status of all the protocols applied to the IoT platform, and adaptively performing overall dynamic optimization management on all the applied protocols according to the analysis results, the analysis and optimization management effect at the overall application level of the IoT platform is improved.

[0078] When performing local optimization management on the subsequent applications of different protocols, perform targeted low-frequency interaction optimization management on all abnormal protocols; the low-frequency interaction optimization management is used to reduce the impact effect of abnormal interaction applications of the affiliated abnormal protocols, and the specific optimization management wording can be determined by existing negative impact optimization measures;

[0079] And, through the formula Calculate and obtain the protocol application status value XZ corresponding to different normal protocols; in the formula, GB is the high-frequency interaction standard value corresponding to different normal protocols, which can be determined according to the specific application requirement data of the IoT platform or according to the previous operation test data of the IoT platform;

[0080] It should be noted that the protocol application status value is used to integrate and calculate all the application data corresponding to the normal protocol to digitally represent the corresponding protocol application status;

[0081] If the protocol application status value is less than or equal to 1, maintain the existing operation of the affiliated normal protocol;

[0082] Conversely, perform targeted high-frequency interaction optimization management on the affiliated normal protocol; the high-frequency interaction optimization management is used to improve the normal interaction application effect of the affiliated normal protocol, and the specific optimization management wording can be determined by existing positive impact optimization measures.

[0083] In the embodiments of the present invention, by supervising, processing, and analyzing the local application status of all the protocols applied to the IoT platform, and adaptively performing local dynamic optimization management on all the applied protocols according to the analysis results, the analysis and optimization management effect at the local application level of the IoT platform is improved.

[0084] In addition, the formulas involved above are all calculated by removing the dimension and taking their numerical values. A formula that is closest to the actual situation is obtained through software simulation by collecting a large amount of data.

[0085] In several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described invention embodiments are merely illustrative. For example, the division of modules is only a logical function division, and there can be other division methods in actual implementation.

[0086] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, in each embodiment of the present invention, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of a combination of hardware and software functional modules.

[0088] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and without departing from the basic features of the present invention, the present invention can be implemented in other specific forms.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An Internet of Things management platform based on big data, characterized in that It includes an Internet of Things platform, an Internet of Things platform protocol support supervision and processing module, and an Internet of Things platform protocol support evaluation and management module that are communicatively connected to the Internet of Things platform; The Internet of Things platform protocol support supervision and processing module is used to supervise and perform data statistics on all the protocols applied by the Internet of Things platform in different application aspects, process and analyze the supervision data of different protocols in different application aspects, dynamically mark all the devices applied by different protocols according to the analysis results, and dynamically mark different protocols; Among them, the dynamic marking of the device includes a normal device or an abnormal device; The dynamic marking of the protocol includes a normal protocol or an abnormal protocol; The Internet of Things platform protocol support evaluation and management module is used to integrate and calculate the supervision and processing data of all the protocols applied by the Internet of Things platform in different aspects, process and analyze the multi-dimensional application status of all the applied protocols, and adaptively perform overall optimization management on all the protocols applied by the Internet of Things platform according to the analysis results, and perform local optimization management on the subsequent applications of different protocols; Among them, performing overall optimization management includes maintaining the existing operation of all the protocols applied by the Internet of Things platform, performing first optimization management on the existing operation of all the protocols applied by the Internet of Things platform, or performing second optimization management on the existing operation of all the protocols applied by the Internet of Things platform; Performing local optimization management includes performing targeted low-frequency interaction optimization management on all abnormal protocols, maintaining the existing operation of normal protocols, or performing targeted high-frequency interaction optimization management on normal protocols.

2. The Internet of Things management platform based on big data according to claim 1, characterized in that, Obtain all the protocols applied by the Internet of Things platform and number and mark them, and sequentially obtain all the devices applied by different protocols; When digitally processing the application impacts corresponding to all the devices applied by different protocols, sequentially traverse and match different devices with the device impact table to obtain the device impact values corresponding to different devices; In addition, obtain the start application timestamps corresponding to different devices applied by different protocols, sequentially obtain the last application timestamps corresponding to different devices, and calculate the application interval time difference between the last application timestamp corresponding to different devices and the current real-time Beijing time.

3. An Internet of Things management platform based on big data according to claim 2, characterized in that, When classifying the application normal status of different devices applied by different protocols, sequentially compare and judge the application interval time differences corresponding to different devices applied by different protocols with the preset application interval standard time difference; Mark the devices belonging to the application interval time difference less than the application interval standard time difference as normal devices; Mark the devices belonging to the application interval time difference greater than or equal to the application interval standard time difference as abnormal devices.

4. An Internet of Things management platform based on big data according to claim 3, characterized in that, When classifying the processing types of different normal devices applied to different protocols, obtain the total number of interactions corresponding to the different normal devices to which different protocols have been applied, and use the formula to calculate and obtain the application interaction frequency value YJi corresponding to different normal devices; in the formula, i represents different normal devices to which protocols have been applied, i = 1, 2, 3, ……, n; n is a positive integer; NJi is the total number of interactions corresponding to different normal devices; TCi is the total application duration corresponding to different normal devices; XJi is the application interaction frequency standard value corresponding to different normal devices; Mark the normal devices belonging to the application interaction frequency value less than 0 as normal interaction devices; Mark the normal devices belonging to the application interaction frequency value greater than or equal to 0 as high-frequency interaction devices.

5. An Internet of Things management platform based on big data according to claim 4, characterized in that, All abnormal devices, normal interaction devices, and high-frequency interaction devices obtained by corresponding regulatory processing of different protocols are calculated through the formula to obtain the protocol application status value XY corresponding to different protocols; In the formula, ZY, ZZ, and ZG are the abnormal interaction values corresponding to all abnormal devices of the protocol, the normal interaction values corresponding to all normal interaction devices, and the high-frequency interaction values corresponding to all high-frequency interaction devices respectively; α and β are different proportionality coefficients, and 0 < α < 1 < β; ZB is the protocol application standard value corresponding to different protocols; Mark the protocol to which the protocol application status value less than 1 belongs as a normal protocol; Mark the protocol to which the protocol application status value greater than or equal to 1 belongs as an abnormal protocol.

6. The Internet of Things management platform based on big data according to claim 5, characterized in that, When integrating and evaluating the application supervision data corresponding to all the protocols applied by the Internet of Things platform, through the formula calculate and obtain the first platform application validity PYX1 corresponding to all the protocols applied by the Internet of Things platform; in the formula, NS and NZ are respectively the total number of protocols used by the Internet of Things platform and the total number of protocols supporting applications; B1 is the platform application specification value corresponding to the Internet of Things platform application protocol; In addition, count the total number of all abnormal protocols and use the formula to calculate and obtain the second platform application validity PYX2 corresponding to all the protocols applied by the Internet of Things platform; in the formula, NY is the total number of all abnormal protocols; B2 is the abnormal protocol specification value corresponding to the Internet of Things platform application protocol.

7. An Internet of Things management platform based on big data according to claim 6, characterized in that, Perform data analysis on the calculated first platform application validity and second platform application validity through the platform application identification model, and output the platform protocol application status value PZ corresponding to all protocols applied by the Internet of Things platform; Among them, the expression of the platform application recognition model is ; Maintain the existing operation of all protocols applied by the Internet of Things platform according to the platform protocol application status value of 0; Perform the first optimization management on the existing operation of all protocols applied by the Internet of Things platform according to the platform protocol application status value of 1; Perform the second optimization management on the existing operation of all protocols applied by the Internet of Things platform according to the platform protocol application status value of 2.

8. An Internet of Things management platform based on big data according to claim 7, characterized in that, When performing local optimization management on the subsequent applications of different protocols, implement targeted low-frequency interaction optimization management for all abnormal protocols.

9. An Internet of Things management platform based on big data according to claim 8, characterized in that, Obtained through the formula Calculate and obtain the protocol application status value XZ corresponding to different normal protocols; in the formula, GB is the high-frequency interaction standard value corresponding to different normal protocols; If the protocol application status value is less than or equal to 1, maintain the existing operation of the normal protocol to which it belongs; Otherwise, implement targeted high-frequency interaction optimization management for the normal protocol to which it belongs.

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