Method and system for managing Internet of Things data alarm threshold based on distributed generation mode

Abstract

The invention relates to the technical field of Internet of Things data alarm threshold management, and discloses an Internet of Things data alarm threshold management method and system based on a distributed generation mode, wherein the system comprises a user-side alarm threshold application requirement identification module, a user-side alarm threshold application processing module, and a user-side alarm threshold application feedback adjustment module; the object type of the Internet of Things distributed user-side alarm threshold application program is intelligently identified based on big data storage Internet of Things data alarm threshold application program parameters combined with user-side alarm threshold application requirement standard keyword translation information of an intelligent identification algorithm, thereby improving the intelligence and applicability of the Internet of Things data alarm threshold management system; according to the user-side Internet of Things data alarm threshold application program analysis information combined with an application execution hardware terminal, the user-side Internet of Things data alarm threshold application operation is autonomously and dynamically executed, thereby improving the visualization and functional diversity of the Internet of Things data alarm threshold management system.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things data alarm threshold management, and specifically to an Internet of Things data alarm threshold management method and system based on a distributed generation mode. Background Art

[0002] ‌IoT data alarm threshold‌ refers to the specific data value used to trigger an alarm in the IoT system. These thresholds are usually set based on the operating status of the device, environmental conditions or other key indicators to ensure that the system can promptly notify users or take corresponding measures in abnormal situations. Threshold setting method‌ Log in to the IoT platform console‌: Select the region where the target enterprise instance is located, find the corresponding enterprise instance, and click the instance name. Select the "Real-time Monitoring" page in the left navigation bar and click the "Alarm Rules" tab‌ 1. ‌Create an alarm rule‌: In the "Alarm Rules" tab, click "Create Alarm Rules" to set the specific information of the alarm rule, including monitoring indicators, statistical fields, thresholds, duration periods, and data aggregation periods. ‌Set the alarm notification method‌: Select the alarm level and notification object, such as phone, SMS, email, or DingTalk robot; the existing ‌IoT data alarm threshold management system requires the user to manually set the specific parameters of the alarm threshold based on personal needs, and cannot realize the intelligent matching of IoT data alarm threshold application types based on distributed user needs, nor can the distributed user end use feedback to intelligently adjust the specific parameters of the alarm threshold. ‌

[0003] The Chinese invention patent with announcement number CN113641559B discloses a management method, system, terminal device and storage medium for alarm thresholds. By setting service quality parameters and initial alarm thresholds, it independently determines whether the real-time request volume can trigger a preset alarm threshold adjustment function, executes the alarm threshold adjustment function based on the judgment result to adjust the initial alarm threshold, and generates an alarm threshold to be evaluated; verifies the generated alarm threshold to be evaluated based on the service quality parameters to determine the target alarm threshold; improves the service quality of online services and avoids the problem of service quality degradation caused by the monitoring system's failure to promptly warn operation and maintenance personnel; however, the above technical solution cannot intelligently generate the required IoT data alarm threshold application program object based on different application requirements of the user end, reducing the intelligence and applicability of the IoT data alarm threshold management system. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the above-mentioned existing IoT data alarm threshold management system requires the user to manually set the specific parameters of the alarm threshold based on personal needs, cannot intelligently match the IoT data alarm threshold application type based on distributed user-side needs, and cannot intelligently adjust the specific parameters of the alarm threshold using feedback from distributed users, the above purpose of accurately collecting user-side alarm threshold application requirement feature information, accurately identifying user-side alarm threshold application requirement standard keyword information, accurately matching user-side required IoT data alarm threshold application, autonomously executing user-side IoT data alarm threshold application operations, online collecting user-side IoT data alarm threshold application improvement feedback information, intelligently matching IoT data alarm threshold specific parameter adjustment instructions, and accurately executing IoT data alarm threshold specific parameter adjustment operations is achieved.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical solution: a method for managing the alarm threshold value of Internet of Things data based on a distributed generation mode, the method comprising the following steps:

[0008] S1. Collect user-side alarm threshold application requirement feature text data;

[0009] S2, performing standard keyword translation processing of the user-side alarm threshold application requirement according to the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data, and generating user-side alarm threshold application requirement standard keyword translation data;

[0010] S3, based on the user-side alarm threshold application requirement standard keyword translation data and the Internet of Things data alarm threshold application program data, perform analysis and processing of the Internet of Things data alarm threshold application program object required by the user-side, and generate user-side Internet of Things data alarm threshold application program analysis data;

[0011] S4, analyzing data according to the user-side Internet of Things data alarm threshold application program and executing a user-side Internet of Things data alarm threshold application operation;

[0012] S5. Collecting user-side IoT data alarm threshold application improvement feedback text data and user-side IoT data alarm threshold application program feature text data;

[0013] S6, based on the user-side IoT data alarm threshold application improvement feedback text data, the user-side IoT data alarm threshold application program feature text data and the IoT data alarm threshold specific parameter adjustment instruction data, perform identification processing on the specific parameter adjustment instruction data required for the improvement of the user-side IoT data alarm threshold application program, and generate the user-side IoT data alarm threshold specific parameter adjustment instruction data;

[0014] S7. Execute a user-side Internet of Things data alarm threshold application feedback adjustment operation based on the user-side Internet of Things data alarm threshold specific parameter adjustment instruction data.

[0015] Preferably, the operation steps of collecting the user-side alarm threshold application requirement feature text data are as follows:

[0016] S11. Collect text information of distributed IoT user terminals’ IoT data alarm threshold application requirements online through the voice recognition module and generate user terminal alarm threshold application requirement feature text data The user-side alarm threshold application requirement feature text data includes application field text data, application scenario text data and application technical requirement text data of the IoT data alarm threshold. The application fields include smart agriculture, smart fire protection, industrial production and smart cities; the application scenarios include IoT terminal equipment data monitoring, water level monitoring, weather monitoring, safety monitoring and industrial production status monitoring. The application technical requirements represent the specific technical requirement parameters for the application of the alarm threshold.

[0017] The present invention collects user-side alarm threshold application requirement characteristic information in real time and accurately through a voice recognition module, thereby achieving the effect of providing real data support for accurately matching the alarm threshold application requirements of distributed user-sides.

[0018] Preferably, the standard keyword translation processing of the user-side alarm threshold application requirement is performed based on the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data, and the operation steps of generating the user-side alarm threshold application requirement standard keyword translation data are as follows:

[0019] S21. Establishing standard keyword data set for alarm threshold application requirements , ;in Indicates The alarm threshold application requirement standard keyword data corresponding to the alarm threshold application requirement text keyword type, Indicates the maximum value of the number of alarm threshold application requirement text keyword types, wherein the alarm threshold application requirement standard keyword data indicates the alarm threshold application requirement standard keyword data set by the IoT data alarm threshold application field standard;

[0020] S22, using the KD tree nearest neighbor search algorithm to convert the user-side alarm threshold application requirement feature text data A set of keyword data related to the alarm threshold application requirements Alarm threshold application requirements standard keyword data described in Perform keyword matching of the alarm threshold application requirement text to search for the user-side alarm threshold application requirement feature text data The corresponding alarm threshold application requirement standard keyword data , and generate user-side alarm threshold application requirement standard keyword translation data set through data identification , ,in Indicates User-side alarm threshold application requirement standard keyword translation data, Indicates User-side alarm threshold application requirement standard keyword translation data.

[0021] The present invention scientifically presets and stores the standard keyword information of the alarm threshold application requirement, combines the KD tree nearest neighbor search algorithm with the user-side alarm threshold application requirement characteristic information, and performs precise translation and processing of the standard keywords of the alarm threshold application requirement of the distributed user-side of the Internet of Things, so as to achieve the effect of accurately and efficiently collecting the real requirement information of the alarm threshold application of the distributed user-side of the Internet of Things.

[0022] Preferably, the steps of performing analysis and processing of the Internet of Things data alarm threshold application object required by the user end based on the user end alarm threshold application requirement standard keyword translation data and the Internet of Things data alarm threshold application program data to generate the user end Internet of Things data alarm threshold application program analysis data are as follows:

[0023] S31, when the user terminal alarm threshold application requirement standard keyword translation data set When the generation is complete, create an IoT data alarm threshold application data set , ;in Indicates The IoT data alarm threshold application data corresponding to the user-side alarm threshold application requirement feature type, Indicates the maximum value of the number of user-side alarm threshold application requirement feature types, the user-side alarm threshold application requirement feature type indicates an IoT data alarm threshold application comprehensive requirement feature type mainly composed of a combination of application field requirement feature standard keywords, application scenario requirement feature standard keywords and application technology requirement requirement feature standard keywords of the user-side IoT data alarm threshold; the IoT data alarm threshold application program data indicates IoT data alarm threshold application execution program data set corresponding to the user-side IoT data alarm threshold application requirement feature type;

[0024] S32: Translate the user-side alarm threshold application requirement standard keyword data set User-side alarm threshold application requirements standard keyword translation data to Application data collection with the IoT data alert threshold IoT data alarm thresholds as described in Application Data Perform keyword matching of user-side alarm threshold application requirement characteristics, and search for the user-side alarm threshold application requirement standard keyword translation data to The corresponding IoT data alarm threshold application data , and generate user-side IoT data alarm threshold application analysis data , execute and generate the user-side IoT data alarm threshold application analysis data The specific steps are as follows:

[0025] S321, initialization, update the maximum number of iterations of the algorithm;

[0026] S322, grazing behavior, the foal eats grass in the herd of horses identified by the alarm threshold application. To perform grazing behavior, the stallion is set as the center of the grazing area, and the alarm threshold application identifies the individual horses in the herd and searches around the center, that is, the stallion is used as the search center in the IoT data alarm threshold application data set. Search the search space to find the keyword translation data that matches the user-side alarm threshold application requirement standard to Application data that matches the IoT data alert threshold ,Herding behavior simulation,The simulation alarm threshold application recognizes the behavior of individual horses moving in different radii and searching for the leading wild horse. The grazing behavior simulation formula is as follows: ,in Indicates An alarm threshold application identifies individual horses in a herd The simulated position in the dimensional space, i.e. The alarm threshold application identifies the individual horses in the herd in the spatial dimension The IoT data alarm threshold application data collection Simulated positions in the search space, Represents the alarm threshold application identifying the leading wild horse in the herd in the IoT data alarm threshold application data collection The position in the search space, Indicates An alarm threshold application identifies individual horses in a herd The current position in the dimensional space, i.e. The alarm threshold application identifies the individual horses in the herd in the spatial dimension The IoT data alarm threshold application data collection The current position in the search space, represents the adaptive coefficient, It means the value is a random number in the interval [-2,2]. , ; ;in represents a vector consisting of 0 and 1, , are all random vectors uniformly distributed in the interval [0,1]. is a random value in the interval [0,1]. It satisfies the conditions The vector of represents an adaptive parameter that decreases from 1 to 0 as the number of iterations increases. ,in represents the number of iterations, Indicates the maximum number of iterations;

[0027] S323, the leading wild horse collects data in the application program of the IoT data alarm threshold Mating behavior is performed in the search space, and the mating behavior simulation formula is as follows: ,in, Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Application data collection in the IoT data alarm threshold The search space is used to identify the individual positions of horses after they have left the herd and re-entered the alarm threshold application. represents the position random function, Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Outliers after alarm threshold in the IoT data application data collection Reentry alarm threshold application in search space to identify horse herds The individual position of Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Outliers after alarm threshold in the IoT data application data collection Reentry alarm threshold application in search space to identify horse herds individual location;

[0028] S324, return to the team leader, the leading wild horse leads the members to a better habitat, that is, in the IoT data alarm threshold application data collection Search the search space to find the keyword translation data that matches the user-side alarm threshold application requirement standard to Application data that best matches the IoT data alert threshold ;

[0029] S325, selection of the leading wild horse, randomly selecting the leading wild horse to maintain the randomness of the algorithm;

[0030] S326: When the algorithm meets the maximum number of iterations, the keyword translation data corresponding to the user-side alarm threshold application requirement standard is output. to Application data that best matches the IoT data alert threshold ; Otherwise, continue to execute S322 to S324 until the maximum number of iterations is met;

[0031] S327: The IoT data alarm threshold application data output in step S326 Generate user-side IoT data alarm thresholds through data identification Application program analysis data .

[0032] The present invention achieves the effect of personalized and autonomous generation of Internet of Things data alarm threshold application objects required by distributed user terminals by intelligently identifying the type of Internet of Things distributed user terminal alarm threshold application objects based on big data storage Internet of Things data alarm threshold application parameters combined with Mustang optimization algorithm user terminal alarm threshold application requirement standard keyword translation information.

[0033] Preferably, the operation steps of performing the user-side Internet of Things data alarm threshold application operation according to the user-side Internet of Things data alarm threshold application analyzing data are as follows:

[0034] S41, analyzing the user-side IoT data alarm threshold application program The user-side Internet of Things data alarm threshold application operation is executed on the distributed Internet of Things user side through the application execution hardware terminal, and the application execution hardware terminal includes any one of a personal computer, a smart phone, and a tablet computer.

[0035] The present invention achieves the effect of intuitively and conveniently experiencing the application operation effect of the Internet of Things data alarm threshold application object matched by the distributed user end by autonomously and dynamically executing the user end Internet of Things data alarm threshold application operation based on the user end Internet of Things data alarm threshold application analysis information in combination with the application execution hardware terminal.

[0036] Preferably, the operation steps of collecting the user-side Internet of Things data alarm threshold application improvement feedback text data and the user-side Internet of Things data alarm threshold application program feature text data are as follows:

[0037] S51. During the execution of the user-side IoT data alarm threshold application operation, the voice recognition module is used to collect online feedback text information of the distributed IoT user-side for the specific parameters of the IoT data alarm threshold application program that need to be improved and adjusted, and the user-side IoT data alarm threshold application improvement feedback text data is generated. , the specific parameters of the alarm threshold include monitoring indicators, statistical fields, thresholds, duration periods, and data aggregation periods;

[0038] In the process of collecting feedback text information from distributed IoT users regarding the IoT data alarm threshold application that needs to be improved, a width optimization search algorithm is simultaneously used to analyze data from the IoT data alarm threshold application on the user side. The corresponding IoT data alarm threshold application product feature information is searched, and the user-side IoT data alarm threshold application feature text data is generated The user-side Internet of Things data alarm threshold application feature text data includes the name, ID identification code and version model of the Internet of Things data alarm threshold application.

[0039] The present invention accurately collects application operation effect feedback information and object feature information of the Internet of Things data alarm threshold application program through a voice recognition module and an intelligent search algorithm, thereby achieving the effect of providing real data support for accurately searching for specific parameter adjustment instructions of the alarm threshold of the Internet of Things data alarm threshold application program.

[0040] Preferably, the specific parameter adjustment instruction identification processing required for improving the user-side Internet of Things data alarm threshold application program based on the user-side Internet of Things data alarm threshold application improvement feedback text data, the user-side Internet of Things data alarm threshold application program feature text data and the Internet of Things data alarm threshold specific parameter adjustment instruction data is performed to generate the user-side Internet of Things data alarm threshold specific parameter adjustment instruction data as follows:

[0041] S61. Establishing a specific parameter adjustment instruction data set for IoT data alarm thresholds , ;in Indicates The alarm threshold application improves the feedback information type corresponding to the IoT data alarm threshold specific parameter adjustment instruction data, Indicates the maximum number of alarm threshold application improvement feedback information types, the alarm threshold application improvement feedback information type indicates the total improvement feedback information type of the Internet of Things data alarm threshold application, which is mainly composed of the alarm threshold specific parameter improvement feedback information of the user-side Internet of Things data alarm threshold application and the application feature information combination; the Internet of Things data alarm threshold specific parameter adjustment instruction data indicates the alarm threshold specific parameter adjustment instruction data set according to the Internet of Things data alarm threshold application field standard for different alarm threshold application improvement feedback information types;

[0042] S62, using a depth-first search algorithm to improve the feedback text data of the user-side IoT data alarm threshold application and the user-side IoT data alarm threshold application feature text data A data set of specific parameters for adjusting the IoT data alarm threshold The specific parameter adjustment instruction data of the IoT data alarm threshold described in Perform character matching on the alarm threshold application improvement feedback information to search for the user-side IoT data alarm threshold application improvement feedback text data and the user-side IoT data alarm threshold application feature text data The corresponding specific parameter adjustment instruction data of the IoT data alarm threshold , and generate a user-side IoT data alarm threshold specific parameter adjustment instruction data set , ,in Indicates The specific parameter adjustment instruction data of the user-side IoT data alarm threshold, Indicates The specific parameter adjustment instruction data of the user-side IoT data alarm threshold.

[0043] The present invention performs intelligent identification of distributed user-side Internet of Things data alarm threshold specific parameter adjustment instructions based on application operation effect feedback information and object feature information of the Internet of Things data alarm threshold application program in combination with a depth-first search algorithm and Internet of Things data alarm threshold specific parameter adjustment instruction parameters, thereby achieving the effect that the Internet of Things data alarm threshold management system intelligently and accurately matches the Internet of Things data alarm threshold specific parameter adjustment instructions required by the distributed user-side.

[0044] Preferably, the operation steps of performing the user-side Internet of Things data alarm threshold application feedback adjustment operation based on the user-side Internet of Things data alarm threshold specific parameter adjustment instruction data are as follows:

[0045] S71, adjusting the instruction data set according to the specific parameters of the user-side IoT data alarm threshold The specific parameter adjustment instruction data of the user-side IoT data alarm threshold described in to Orderly analyze the user-side IoT data alarm threshold application data The corresponding IoT data alarm threshold application executes the user-side IoT data alarm threshold application feedback adjustment operation.

[0046] The present invention achieves the effect of emergency response efficiency and reliability of the Internet of Things data alarm threshold management system by efficiently and accurately executing the user-side Internet of Things data alarm threshold application feedback adjustment operation based on the specific parameter adjustment instruction parameters of the user-side Internet of Things data alarm threshold.

[0047] The distributed generation mode IoT data alarm threshold management system is used to implement the distributed generation mode IoT data alarm threshold management method, the system includes a user-side alarm threshold application demand identification module, a user-side alarm threshold application processing module, and a user-side alarm threshold application feedback adjustment module;

[0048] The user-side alarm threshold application requirement identification module includes a user-side alarm threshold application requirement characteristic information collection unit, an alarm threshold application requirement standard keyword storage unit, and a user-side alarm threshold application requirement standard keyword translation unit;

[0049] The user-side alarm threshold application requirement characteristic information collection unit collects user-side alarm threshold application requirement characteristic text data through a voice recognition module; the alarm threshold application requirement standard keyword storage unit is used to store alarm threshold application requirement standard keyword data; the user-side alarm threshold application requirement standard keyword translation unit performs standard keyword translation processing of the user-side alarm threshold application requirement based on the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data to generate user-side alarm threshold application requirement standard keyword translation data;

[0050] The user-side alarm threshold application processing module includes an Internet of Things data alarm threshold application storage unit, a user-side Internet of Things data alarm threshold application analysis unit, and a user-side Internet of Things data alarm threshold application job execution unit;

[0051] The Internet of Things data alarm threshold application storage unit is used to store the Internet of Things data alarm threshold application data; the user-side Internet of Things data alarm threshold application analysis unit performs the Internet of Things data alarm threshold application object analysis and processing required by the user-side based on the user-side alarm threshold application requirement standard keyword translation data and the Internet of Things data alarm threshold application data, and generates the user-side Internet of Things data alarm threshold application analysis data; the user-side Internet of Things data alarm threshold application job execution unit executes the user-side Internet of Things data alarm threshold application job according to the user-side Internet of Things data alarm threshold application analysis data in combination with the application execution hardware terminal;

[0052] The user-side alarm threshold application feedback adjustment module includes a user-side IoT data alarm threshold application improvement feedback information collection unit, a user-side IoT data alarm threshold application program feature information collection unit, an IoT data alarm threshold specific parameter adjustment instruction storage unit, a user-side IoT data alarm threshold specific parameter adjustment instruction identification unit, and a user-side IoT data alarm threshold application feedback adjustment operation execution unit;

[0053] The unit for collecting feedback information on the application improvement of the Internet of Things data alarm threshold at the user end collects feedback text data on the application improvement of the Internet of Things data alarm threshold at the user end through a voice recognition module; the unit for collecting information on the characteristic application program of the Internet of Things data alarm threshold at the user end collects characteristic text data of the application program of the Internet of Things data alarm threshold at the user end; the storage unit for adjusting the specific parameter of the Internet of Things data alarm threshold is used to store the specific parameter adjustment instruction data of the Internet of Things data alarm threshold; the unit for identifying the specific parameter adjustment instruction of the Internet of Things data alarm threshold required by the user end performs identification processing on the specific parameter adjustment instruction required for the improvement of the application program of the Internet of Things data alarm threshold at the user end based on the feedback text data on the application improvement of the Internet of Things data alarm threshold at the user end, the characteristic text data of the application program of the Internet of Things data alarm threshold at the user end and the specific parameter adjustment instruction data of the Internet of Things data alarm threshold, and generates the specific parameter adjustment instruction data of the Internet of Things data alarm threshold at the user end; the unit for executing the application feedback adjustment operation of the Internet of Things data alarm threshold at the user end executes the application feedback adjustment operation of the Internet of Things data alarm threshold at the user end based on the specific parameter adjustment instruction data of the Internet of Things data alarm threshold at the user end.

[0054] (III) Beneficial effects

[0055] The present invention provides a method and system for managing the alarm threshold value of Internet of Things data based on a distributed generation mode. It has the following beneficial effects:

[0056] 1. Real-time and accurate collection of user-side alarm threshold application requirement characteristic information through the voice recognition module, providing real data support for accurately matching the distributed user-side alarm threshold application requirements; scientifically preset and store alarm threshold application requirement standard keyword information, combine intelligent recognition algorithm with user-side alarm threshold application requirement characteristic information to accurately translate and process the alarm threshold application requirement standard keywords of the IoT distributed user side, and realize accurate and efficient collection of the real requirement information of the IoT distributed user-side alarm threshold application, thereby improving the user experience and reliability of the IoT data alarm threshold management system.

[0057] 2. Through the intelligent identification of the type of IoT distributed user-side alarm threshold application object based on the IoT data alarm threshold application parameters stored in big data combined with the intelligent recognition algorithm and the user-side alarm threshold application requirement standard keyword translation information, personalized and autonomous generation of IoT data alarm threshold application objects required by distributed user sides is realized, thereby improving the intelligence and applicability of the IoT data alarm threshold management system; based on the user-side IoT data alarm threshold application analysis information combined with the application execution hardware terminal, the user-side IoT data alarm threshold application operation is autonomously and dynamically executed, thereby achieving an intuitive and convenient experience of the application operation effect of the IoT data alarm threshold application object matched by the distributed user side, thereby improving the visualization and functional diversity of the IoT data alarm threshold management system.

[0058] 3. Accurately collect application effect feedback information and object feature information of the IoT data alarm threshold application program through the voice recognition module and intelligent search algorithm, and provide real data support for accurately searching for the specific parameter adjustment instructions of the alarm threshold of the IoT data alarm threshold application program; based on the application effect feedback information and object feature information of the IoT data alarm threshold application program, combined with the intelligent search algorithm and the specific parameter adjustment instruction parameters of the IoT data alarm threshold, intelligently identify the specific parameter adjustment instructions of the IoT data alarm threshold on the distributed user side, so that the IoT data alarm threshold management system can intelligently and accurately match the specific parameter adjustment instructions of the IoT data alarm threshold required by the distributed user side, and improve the emergency adjustment capability and intelligence of the IoT data alarm threshold management system; based on the specific parameter adjustment instruction parameters of the IoT data alarm threshold on the user side, efficiently and accurately execute the user-side IoT data alarm threshold application feedback adjustment operation, and improve the emergency response efficiency and reliability of the IoT data alarm threshold management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A schematic diagram of a module of the distributed generation mode IoT data alarm threshold management system provided by the present invention;

[0060] Figure 2A flowchart of the method for managing Internet of Things data alarm thresholds based on a distributed generation mode provided by the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] The embodiments of the distributed generation mode IoT data alarm threshold management method and system are as follows:

[0063] Embodiment 1:

[0064] See also Figure 1 - Figure 2 , a method for managing the alarm threshold of Internet of Things data based on a distributed generation mode, the method comprising the following steps:

[0065] S1. Collect user-side alarm threshold application requirement feature text data;

[0066] S2, performing standard keyword translation processing of the user-side alarm threshold application requirement based on the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data, and generating user-side alarm threshold application requirement standard keyword translation data;

[0067] S3, based on the user-side alarm threshold application requirement standard keyword translation data and the Internet of Things data alarm threshold application data, perform analysis and processing of the Internet of Things data alarm threshold application object required by the user-side, and generate user-side Internet of Things data alarm threshold application analysis data;

[0068] S4, performing a user-side IoT data alarm threshold application operation according to the user-side IoT data alarm threshold application analyzing data;

[0069] S5. Collecting user-side IoT data alarm threshold application improvement feedback text data and user-side IoT data alarm threshold application program feature text data;

[0070] S6, based on the user-side IoT data alarm threshold application improvement feedback text data, the user-side IoT data alarm threshold application program feature text data and the IoT data alarm threshold specific parameter adjustment instruction data, the specific parameter adjustment instruction data for the IoT data alarm threshold is identified and processed, and the user-side IoT data alarm threshold specific parameter adjustment instruction data is generated;

[0071] S7. Execute the user-side IoT data alarm threshold application feedback adjustment operation based on the specific parameter adjustment instruction data of the user-side IoT data alarm threshold.

[0072] For further information, see Figure 1 - Figure 2 The steps for collecting the user-side alarm threshold application requirement feature text data are as follows:

[0073] S11. Collect text information of distributed IoT user terminals’ IoT data alarm threshold application requirements online through the voice recognition module and generate user terminal alarm threshold application requirement feature text data The user-side alarm threshold application requirement feature text data includes application field text data, application scenario text data and application technical requirement text data of the IoT data alarm threshold. The application fields include smart agriculture, smart fire protection, industrial production and smart cities; the application scenarios include IoT terminal equipment data monitoring, water level monitoring, weather monitoring, safety monitoring and industrial production status monitoring. The application technical requirements represent the specific technical requirement parameters for the alarm threshold application.

[0074] The standard keyword translation processing of the user-side alarm threshold application requirement is performed based on the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data, and the operation steps of generating the user-side alarm threshold application requirement standard keyword translation data are as follows:

[0075] S21. Establishing standard keyword data set for alarm threshold application requirements , ;in Indicates The alarm threshold application requirement standard keyword data corresponding to the alarm threshold application requirement text keyword type, Indicates the maximum number of alarm threshold application requirement text keyword types. Alarm threshold application requirement standard keyword data indicates the alarm threshold application requirement standard keyword data set by the IoT data alarm threshold application field standard.

[0076] S22, using the KD tree nearest neighbor search algorithm to apply the user-side alarm threshold requirement feature text data Keyword data set with alarm threshold application requirements and standards Medium alarm threshold application requirements standard keyword data Perform keyword matching on the alarm threshold application requirement text to search for the user-side alarm threshold application requirement feature text data Corresponding alarm threshold application requirements standard keyword data , and generate user-side alarm threshold application requirement standard keyword translation data set through data identification , ,in Indicates User-side alarm threshold application requirement standard keyword translation data, Indicates User-side alarm threshold application requirement standard keyword translation data.

[0077] Through the user-side alarm threshold application requirement characteristic information collection unit, a voice recognition module is used to accurately collect the user-side alarm threshold application requirement characteristic information in real time, providing real data support for accurately matching the distributed user-side alarm threshold application requirements; the alarm threshold application requirement standard keyword storage unit and the user-side alarm threshold application requirement standard keyword translation unit cooperate with each other, scientifically preset and store the alarm threshold application requirement standard keyword information, combine the intelligent recognition algorithm with the user-side alarm threshold application requirement characteristic information to perform accurate translation processing of the alarm threshold application requirement standard keyword of the distributed user-side of the Internet of Things, realize accurate and efficient collection of the real demand information of the alarm threshold application of the distributed user-side of the Internet of Things, and improve the user experience and reliability of the Internet of Things data alarm threshold management system.

[0078] For further information, see Figure 1 - Figure 2 , based on the user-side alarm threshold application requirement standard keyword translation data and the IoT data alarm threshold application data, the IoT data alarm threshold application object required by the user side is analyzed and processed, and the operation steps for generating the user-side IoT data alarm threshold application analysis data are as follows:

[0079] S31, when the user-side alarm threshold application requirement standard keyword translation data set When the generation is complete, create an IoT data alarm threshold application data set , ;in Indicates The IoT data alarm threshold application data corresponding to the user-side alarm threshold application requirement feature type, Indicates the maximum number of user-side alarm threshold application requirement feature types. The user-side alarm threshold application requirement feature type indicates the IoT data alarm threshold application comprehensive requirement feature type mainly composed of the application field requirement feature standard keywords, application scenario requirement feature standard keywords and application technology requirement requirement feature standard keywords of the user-side IoT data alarm threshold. The IoT data alarm threshold application program data indicates the IoT data alarm threshold application execution program data set based on the corresponding IoT data alarm threshold application requirement feature type.

[0080] S32, translating the user-side alarm threshold application requirement standard keyword data set User-side alarm threshold application requirements standard keyword translation data to Application data collection with IoT data alarm thresholds Application data in IoT data alarm threshold Perform keyword matching of user-side alarm threshold application requirement characteristics, and search for user-side alarm threshold application requirement standard keyword translation data to Corresponding IoT data alarm threshold application data , and generate user-side IoT data alarm threshold application analysis data , execute and generate user-side IoT data alarm threshold application analysis data The specific steps are as follows:

[0081] S321, initialization, update the maximum number of iterations of the algorithm;

[0082] S322, grazing behavior, the foal eats grass in the herd of horses identified by the alarm threshold application. To perform grazing behavior, the stallion is set as the center of the grazing area, and the alarm threshold application identifies the individual horses in the herd and searches around the center, that is, the stallion is used as the search center in the IoT data alarm threshold application data set Search the search space to find the standard keyword translation data related to the user-side alarm threshold application requirements to Matching IoT data alert thresholds to application data ,Herding behavior simulation,The simulation alarm threshold application recognizes the behavior of individual horses moving in different radii and searching for the leading wild horse. The grazing behavior simulation formula is as follows: ,in Indicates The alarm threshold application identifies individual horses in a herd The simulated position in the dimensional space, i.e. The alarm threshold application identifies the individual horses in the herd in the spatial dimension IoT data alarm threshold application data collection Simulated positions in the search space, Represents the alarm threshold application to identify the leading wild horse in the herd in the IoT data alarm threshold application data collection The position in the search space, Indicates The alarm threshold application identifies individual horses in a herd The current position in the dimensional space, i.e. The alarm threshold application identifies the individual horses in the herd in the spatial dimension IoT data alarm threshold application data collection The current position in the search space, represents the adaptive coefficient, It means the value is a random number in the interval [-2,2]. , ; ;in represents a vector consisting of 0 and 1, , are all random vectors uniformly distributed in the interval [0,1]. is a random value in the interval [0,1]. It satisfies the conditions The vector of represents an adaptive parameter that decreases from 1 to 0 as the number of iterations increases. ,in represents the number of iterations, Indicates the maximum number of iterations;

[0083] S323, Leading Mustang in IoT Data Alarm Threshold Application Data Collection Mating behavior is performed in the search space, and the mating behavior simulation formula is as follows: ,in, Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Data collection in IoT data alarm threshold application The search space is used to identify the individual positions of horses after they have left the herd and re-entered the alarm threshold application. represents the position random function, Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Outliers in IoT data alarm threshold application data collection Reentry alarm threshold application in search space to identify horse herds The individual position of Represents the alarm threshold application to identify horse herds Medium Alert Threshold Application to Identify Individual Horses Outliers in IoT data alarm threshold application data collection Reentry alarm threshold application in search space to identify horse herds individual location;

[0084] S324, return to the team leader, the leading wild horse leads the members to a better habitat, that is, in the IoT data alarm threshold application data collection Search the search space to find the standard keyword translation data related to the user-side alarm threshold application requirements to The most matching IoT data alarm threshold application data ;

[0085] S325, selection of the leading wild horse, randomly selecting the leading wild horse to maintain the randomness of the algorithm;

[0086] S326. When the algorithm meets the maximum number of iterations, the output is the keyword translation data corresponding to the user-side alarm threshold application requirement standard to Alert thresholds for IoT data that best matches application data ; Otherwise, continue to execute S322 to S324 until the maximum number of iterations is met;

[0087] S327: The IoT data alarm threshold application data output in step S326 Generate user-side IoT data alarm thresholds through data identification Application program analysis data .

[0088] The steps for performing the user-side IoT data alarm threshold application job based on the user-side IoT data alarm threshold application analysis data are as follows:

[0089] S41, analyze the data of the user-side IoT data alarm threshold application The user-side Internet of Things data alarm threshold application operation is executed on the distributed Internet of Things user side through the application execution hardware terminal, and the application execution hardware terminal includes any one of a personal computer, a smart phone, and a tablet computer.

[0090] Through the cooperation between the IoT data alarm threshold application storage unit and the user-side IoT data alarm threshold application analysis unit, the IoT distributed user-side alarm threshold application object type is intelligently identified based on the IoT data alarm threshold application parameters stored in big data combined with the intelligent recognition algorithm and the user-side alarm threshold application requirement standard keyword translation information, so as to realize personalized and autonomous generation of IoT data alarm threshold application objects required by distributed user-side, and improve the intelligence and applicability of the IoT data alarm threshold management system; the user-side IoT data alarm threshold application job execution unit autonomously and dynamically executes the user-side IoT data alarm threshold application job based on the user-side IoT data alarm threshold application analysis information combined with the application execution hardware terminal, so as to realize an intuitive and convenient experience of the application job effect of the IoT data alarm threshold application object matched by the distributed user-side, and improve the visualization and functional diversity of the IoT data alarm threshold management system.

[0091] For further information, see Figure 1 - Figure 2 ,The steps for collecting the user-side IoT data alarm threshold application improvement feedback text data and the user-side IoT data alarm threshold application program feature text data are as follows:

[0092] S51. During the execution of the user-side IoT data alarm threshold application operation, the voice recognition module is used to collect online feedback text information of the distributed IoT user-side for the specific parameters of the IoT data alarm threshold application program that need to be improved and adjusted, and the user-side IoT data alarm threshold application improvement feedback text data is generated. , the specific parameters of the alarm threshold include monitoring indicators, statistical fields, thresholds, duration periods, and data aggregation periods;

[0093] In the process of collecting feedback text information from distributed IoT users on the need to improve the IoT data alarm threshold application, a width optimization search algorithm is simultaneously used to analyze the data of the user-side IoT data alarm threshold application. The corresponding IoT data alarm threshold application product feature information is searched, and the user-side IoT data alarm threshold application feature text data is generated ,The characteristic text data of the user-side IoT data alarm threshold application includes the name, ID identification code and version model of the IoT data alarm threshold application.

[0094] Based on the user-side IoT data alarm threshold application improvement feedback text data, the user-side IoT data alarm threshold application program feature text data and the IoT data alarm threshold specific parameter adjustment instruction data, the specific parameter adjustment instruction data required for the improvement of the user-side IoT data alarm threshold application program is identified and processed, and the operation steps of generating the user-side IoT data alarm threshold specific parameter adjustment instruction data are as follows:

[0095] S61. Establishing a specific parameter adjustment instruction data set for IoT data alarm thresholds , ;in Indicates The alarm threshold application improves the feedback information type corresponding to the IoT data alarm threshold specific parameter adjustment instruction data, Indicates the maximum number of alarm threshold application improvement feedback information types. The alarm threshold application improvement feedback information type indicates the total improvement feedback information type of the Internet of Things data alarm threshold application, which is mainly composed of the alarm threshold specific parameter improvement feedback information of the user-side Internet of Things data alarm threshold application and the application feature information combination; the Internet of Things data alarm threshold specific parameter adjustment instruction data indicates the alarm threshold specific parameter adjustment instruction data set according to the Internet of Things data alarm threshold application field standards for different alarm threshold application improvement feedback information types;

[0096] S62, using the depth-first search algorithm to improve the feedback text data of the user-side IoT data alarm threshold application and user-side IoT data alarm threshold application feature text data Establishing IoT data alarm threshold specific parameter adjustment instruction data set Specific parameter adjustment instruction data of the Internet of Things data alarm threshold Perform character matching on the alarm threshold application improvement feedback information to search for the user-side IoT data alarm threshold application improvement feedback text data and user-side IoT data alarm threshold application feature text data Corresponding IoT data alarm threshold specific parameter adjustment instruction data , and generate a user-side IoT data alarm threshold specific parameter adjustment instruction data set , ,in Indicates The specific parameter adjustment instruction data of the user-side IoT data alarm threshold, Indicates The specific parameter adjustment instruction data of the user-side IoT data alarm threshold.

[0097] The operation steps for performing the user-side IoT data alarm threshold application feedback adjustment operation based on the user-side IoT data alarm threshold specific parameter adjustment instruction data are as follows:

[0098] S71, adjusting the command data set according to the specific parameters of the user-side IoT data alarm threshold User-side IoT data alarm threshold specific parameter adjustment instruction data to Orderly analyze data for user-side IoT data alarm threshold application The corresponding IoT data alarm threshold application executes the user-side IoT data alarm threshold application feedback adjustment operation.

[0099] The user-side IoT data alarm threshold application improvement feedback information collection unit and the user-side IoT data alarm threshold application program feature information collection unit cooperate with each other, and the speech recognition module and the intelligent search algorithm are used to accurately collect the application operation effect feedback information and object feature information of the IoT data alarm threshold application program, so as to provide real data support for accurately searching the specific parameter adjustment instructions of the alarm threshold of the IoT data alarm threshold application program; the user-side IoT data alarm threshold specific parameter adjustment instruction identification unit performs distributed user-side IoT data alarm threshold specific parameter adjustment instructions intelligently based on the application operation effect feedback information and object feature information of the IoT data alarm threshold application program combined with the intelligent search algorithm and the IoT data alarm threshold specific parameter adjustment instruction parameters, so as to realize the IoT data alarm threshold management system to intelligently and accurately match the distributed user-side IoT data alarm threshold specific parameter adjustment instructions, thereby improving the emergency adjustment capability and intelligence of the IoT data alarm threshold management system; the user-side IoT data alarm threshold application feedback adjustment operation execution unit efficiently and accurately executes the user-side IoT data alarm threshold application feedback adjustment operation based on the user-side IoT data alarm threshold specific parameter adjustment instruction parameters, thereby improving the emergency response efficiency and reliability of the IoT data alarm threshold management system.

[0100] Embodiment 2:

[0101] See also Figure 1 - Figure 2 , an IoT data alarm threshold management system based on a distributed generation mode, used to implement an IoT data alarm threshold management method based on a distributed generation mode, the system includes a user-side alarm threshold application demand identification module, a user-side alarm threshold application processing module, and a user-side alarm threshold application feedback adjustment module;

[0102] The user-side alarm threshold application requirement identification module includes a user-side alarm threshold application requirement characteristic information collection unit, an alarm threshold application requirement standard keyword storage unit, and a user-side alarm threshold application requirement standard keyword translation unit;

[0103] A user-side alarm threshold application requirement characteristic information collection unit collects user-side alarm threshold application requirement characteristic text data through a voice recognition module; an alarm threshold application requirement standard keyword storage unit is used to store alarm threshold application requirement standard keyword data; a user-side alarm threshold application requirement standard keyword translation unit performs standard keyword translation processing of user-side alarm threshold application requirements based on the user-side alarm threshold application requirement characteristic text data and the alarm threshold application requirement standard keyword data to generate user-side alarm threshold application requirement standard keyword translation data;

[0104] The user-side alarm threshold application processing module includes an Internet of Things data alarm threshold application storage unit, a user-side Internet of Things data alarm threshold application analysis unit, and a user-side Internet of Things data alarm threshold application job execution unit;

[0105] An IoT data alarm threshold application storage unit is used to store IoT data alarm threshold application data; a user-side IoT data alarm threshold application analysis unit performs analysis and processing of IoT data alarm threshold application objects required by the user-side based on the user-side alarm threshold application requirement standard keyword translation data and IoT data alarm threshold application data, and generates user-side IoT data alarm threshold application analysis data; a user-side IoT data alarm threshold application job execution unit performs a user-side IoT data alarm threshold application job based on the user-side IoT data alarm threshold application analysis data combined with the application execution hardware terminal;

[0106] The user-side alarm threshold application feedback adjustment module includes a user-side IoT data alarm threshold application improvement feedback information collection unit, a user-side IoT data alarm threshold application program feature information collection unit, an IoT data alarm threshold specific parameter adjustment instruction storage unit, a user-side IoT data alarm threshold specific parameter adjustment instruction identification unit, and a user-side IoT data alarm threshold application feedback adjustment job execution unit;

[0107] A unit for collecting feedback information on application improvement of Internet of Things data alarm threshold at the user end is used to collect feedback text data on application improvement of Internet of Things data alarm threshold at the user end through a voice recognition module; a unit for collecting characteristic information of application program of Internet of Things data alarm threshold at the user end is used to collect characteristic text data of application program of Internet of Things data alarm threshold at the user end; a storage unit for adjusting specific parameters of Internet of Things data alarm threshold is used to store the specific parameter adjustment instruction data of Internet of Things data alarm threshold; a unit for identifying specific parameter adjustment instructions of Internet of Things data alarm threshold required by the user end is used to identify and process the specific parameter adjustment instructions required for the improvement of application program of Internet of Things data alarm threshold at the user end based on the feedback text data on application improvement of Internet of Things data alarm threshold at the user end, the characteristic text data of application program of Internet of Things data alarm threshold at the user end and the specific parameter adjustment instruction data of Internet of Things data alarm threshold, and generate the specific parameter adjustment instruction data of Internet of Things data alarm threshold at the user end; a unit for executing application feedback adjustment operation of Internet of Things data alarm threshold at the user end is used to execute application feedback adjustment operation of Internet of Things data alarm threshold at the user end based on the specific parameter adjustment instruction data of Internet of Things data alarm threshold at the user end.

[0108] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for managing the alarm threshold of Internet of Things data based on a distributed generation mode, characterized in that: The method comprises the following steps: S1. Collect user-side alarm threshold application requirement feature text data ; S2. According to the Application requirements and alarm thresholds Standard keyword data Perform standard keyword translation processing for user-side alarm threshold application requirements to generate standard keyword translation data for user-side alarm threshold application requirements ; The S2 comprises the following steps: S21. Establishment , ;in Indicates The alarm threshold application requirement standard keyword data corresponding to the alarm threshold application requirement text keyword type, Indicates the maximum number of keyword types in the alarm threshold application requirement text; S22, using the KD tree nearest neighbor search algorithm to With the As stated in Perform keyword matching on the alarm threshold application requirement text and search for the The corresponding , and generated through data identification , ,in Indicates User-side alarm threshold application requirement standard keyword translation data, Indicates User-side alarm threshold application requirement standard keyword translation data; S3. Based on the Application data with IoT data alert thresholds Perform the analysis and processing of the IoT data alarm threshold application object required by the user side, and generate the user side IoT data alarm threshold application analysis data ; The S3 comprises the following steps: S31, when the When the generation is complete, create , ;in Indicates The IoT data alarm threshold application data corresponding to the user-side alarm threshold application requirement feature type, Indicates the maximum number of user-side alarm threshold application requirement feature types; S32, the As stated in to With the As stated in Perform keyword matching of user-side alarm threshold application requirement characteristics and search for the to The corresponding , and generate ; S4. According to the Execute user-side IoT data alarm threshold application operations; S5. Collect user-side IoT data alarm threshold application improvement feedback text data and user-side IoT data alarm threshold application feature text data ; S6. Based on the , Specific parameter adjustment instruction data for IoT data alarm threshold Identify and process the specific parameter adjustment instructions required to improve the user-side IoT data alarm threshold application program, and generate specific parameter adjustment instruction data for the user-side IoT data alarm threshold ; The S6 comprises the following steps: S61. Establishment , ;in Indicates The alarm threshold application improves the feedback information type corresponding to the IoT data alarm threshold specific parameter adjustment instruction data, Indicates the maximum number of alarm threshold application improvement feedback information types; S62, using a depth-first search algorithm to and stated With the As stated in Perform character matching on alarm threshold application to improve feedback information and search for the and stated The corresponding , and generate , ,in Indicates The specific parameter adjustment instruction data of the user-side IoT data alarm threshold, Indicates Specific parameter adjustment instruction data of the user-side IoT data alarm threshold; S7. Based on the Execute user-side IoT data alarm threshold application feedback adjustment tasks.

2. According to the distributed generation mode IoT data alarm threshold management method according to claim 1, it is characterized by: The S1 comprises the following steps: S11, collect text information of distributed IoT user terminals for IoT data alarm threshold application requirements online through the voice recognition module and generate .

3. The method for managing the alarm threshold value of Internet of Things data based on the distributed generation mode according to claim 1 is characterized in that: The S32 comprises the following steps: S321, initialization, update the maximum number of iterations of the algorithm; S322, grazing behavior, the foal is grazing in the herd of horses identified by the alarm threshold application. To perform the grazing behavior, the stallion is set as the center of the grazing area. The alarm threshold application identifies the individual horses in the herd and searches around the center. The stallion is used as the search center. Search the search space for to Matching the ,Herding behavior simulation, the simulation alarm threshold application recognizes the behavior of individual horses moving in different radii and searching for the leading wild horse; S323, the leading Mustang in the Search space for mating behavior; S324, return to the team leader, the leading wild horse leads the members to a better habitat, in the Search the search space for to The best match for ; S325, selection of the leading wild horse, randomly selecting the leading wild horse to maintain the randomness of the algorithm; S326. When the algorithm meets the maximum number of iterations, the output is the same as the to The best match for ; Otherwise, continue to execute S322 to S324 until the maximum number of iterations is met; S327, the output in step S326 Generated by data identification .

4. The method for managing the alarm threshold value of Internet of Things data based on the distributed generation mode according to claim 1 is characterized in that: The S4 comprises the following steps: S41, the The user-side IoT data alarm threshold application job is executed on the distributed IoT user-side through the application execution hardware terminal.

5. The method for managing the alarm threshold value of Internet of Things data based on the distributed generation mode according to claim 4 is characterized in that: The S5 comprises the following steps: S51, during the execution of the user-side IoT data alarm threshold application operation, synchronously using the voice recognition module to collect online the distributed IoT user-side feedback text information on the specific parameters of the IoT data alarm threshold application program that need to be improved and adjusted, and generate ; In the process of collecting feedback text information from distributed IoT users regarding IoT data alarm threshold application programs that need to be improved, a width optimization search algorithm is simultaneously used to search for the The corresponding IoT data alarm threshold application product feature information is searched and generated .

6. The method for managing the alarm threshold value of Internet of Things data based on the distributed generation mode according to claim 1 is characterized in that: The S7 comprises the following steps: S71. According to the As stated in to Orderly The corresponding IoT data alarm threshold application executes the user-side IoT data alarm threshold application feedback adjustment operation.

7. A distributed generation mode IoT data alarm threshold management system, used to implement a distributed generation mode IoT data alarm threshold management method according to any one of claims 1 to 6, characterized in that: The system comprises a user-side alarm threshold application requirement identification module, a user-side alarm threshold application processing module, and a user-side alarm threshold application feedback adjustment module.

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