CN117648660A - Environment state monitoring method and system based on Internet of things identification - Google Patents
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Abstract
The application relates to the technical field of data processing and provides an environmental state monitoring method and system based on an Internet of things identifier, wherein the method comprises the steps of decrypting environmental state detection data based on the Internet of things identifier to obtain target environmental state detection data; acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model; inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental condition detection data includes at least one abnormal environmental condition detection value. The method can improve the accuracy of environmental state monitoring.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an environment state monitoring method and system based on an internet of things identifier.
Background
With the rapid development of the Internet of things technology, the intelligent monitoring of the environmental state in industrial production is realized. In the existing environmental state monitoring method, environmental state detection data are generally obtained through various sensors, and then the obtained environmental state detection data are compared and analyzed with standard environmental state data to determine whether the environmental state is abnormal or not. The accuracy of such environmental condition monitoring methods has yet to be improved.
Disclosure of Invention
The application provides an environmental state monitoring method and system based on an Internet of things identifier, which are used for solving the problems set forth in the background technology.
In a first aspect, the present application provides an environmental status monitoring method based on an identifier of the internet of things, including:
acquiring environmental state detection data through an environmental state detection device associated with the Internet of things identifier; wherein the environmental state detection data is encrypted data;
decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data;
acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model;
inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental state detection data includes at least one abnormal environmental state detection value;
for each abnormal environment state detection value, determining an associated management device of the abnormal environment state detection value based on the type of the abnormal environment state detection value and the Internet of things identification, generating alarm information based on the abnormal environment state detection value, and sending the alarm information to the management device.
In one possible implementation manner, before the acquiring the environmental state detection data by the environmental state detection device associated with the internet of things identifier, the method further includes:
acquiring a detection program of the environment state detection device, and detecting the environment state detection device based on the detection program to judge whether the environment state detection device is abnormal or not;
and if the environment state detection device is not abnormal, executing the environment state detection data acquired by the environment state detection device associated with the Internet of things identifier.
In one possible implementation manner, the associated management device is provided with an alarm module, and the alarm module is used for sending prompt information to a manager of the management device after the management device receives the alarm information.
In one possible implementation manner, the decrypting the environmental state detection data based on the identifier of the internet of things to obtain target environmental state detection data includes:
extracting numbers at designated positions from the Internet of things identifier, and sequentially arranging the extracted numbers to obtain a number sequence; wherein the number of digits in the digit sequence is n;
extracting characters at a designated position from the Internet of things identifier, and sequentially arranging the extracted characters to obtain a character sequence; wherein the number of characters in the character sequence is n;
acquiring a preset initial decryption matrix; wherein the initial decryption matrix is an n×n matrix;
sequentially replacing elements of the initial decryption matrix on a designated diagonal line from top to bottom based on the digital sequence to obtain a first intermediate target decryption matrix;
extracting target characters corresponding to the columns from the character sequence aiming at each column of the first intermediate target decryption matrix, and replacing elements of the columns at designated positions by using the target characters to obtain a second intermediate target decryption matrix; wherein the ordering of the columns in the first intermediate target decryption matrix is consistent with the ordering of the target characters in the character sequence;
deleting a first element in each row of the second intermediate target decryption matrix to obtain a first element vacancy, moving each element after the first element vacancy forward by one element vacancy to obtain a second element vacancy, and inserting the first element into the second element vacancy to obtain a target decoding matrix;
and decrypting the environment state detection data based on the target decoding matrix.
In a possible implementation manner, the initial environmental abnormal state classification model includes a plurality of initial environmental abnormal state classification sub-models with different dimensions, and the adjusting, based on the internet of things identifier and the time information, model parameters of a preset initial environmental abnormal state classification model to obtain a target environmental abnormal state classification model includes:
acquiring a target matching relation table from a preset database based on the Internet of things identifier; the matching relationship in the target matching relationship table is the matching relationship of the time attribute and the initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted;
analyzing the time information to obtain a time attribute corresponding to the time information; wherein the time attribute comprises at least one;
determining a target initial environment abnormal state classification sub-model in the target matching relation table according to each time attribute; the target initial environment abnormal state classification sub-model is an initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted;
aiming at each target initial environment abnormal state classification sub-model, acquiring a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model based on the time attribute corresponding to the Internet of things identifier and the target initial environment abnormal state classification sub-model, and adjusting model parameters of the target initial environment abnormal state classification sub-model based on the model parameter adjustment rule to obtain an intermediate target environment abnormal state classification sub-model;
fusing model parameters of the intermediate object environment abnormal state classification sub-model with the same dimension to obtain an object environment abnormal state classification sub-model, and generating the object environment abnormal state classification model based on each object environment abnormal state classification sub-model.
In a possible implementation manner, the obtaining, based on the internet of things identifier and the time attribute corresponding to the target initial environment abnormal state classification sub-model, a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model includes:
obtaining the sub-model number of the target initial environment abnormal state classification sub-model;
coding the time attribute corresponding to the target initial environment abnormal state classification sub-model based on a preset coding rule to obtain a coding sequence;
respectively extracting numbers or characters of the Internet of things identifier, the submodel number and the coding sequence at a designated position, and arranging the extracted numbers or characters based on a preset ordering rule to obtain a text number corresponding to the target initial environment abnormal state classification submodel;
acquiring a text corresponding to the target initial environment abnormal state classification sub-model from a preset database based on the text number; and the text is recorded with a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model.
In some possible implementations, the association management device that determines the abnormal environmental state detection value based on the type of the abnormal environmental state detection value and the internet of things identifier includes:
acquiring a digital matrix corresponding to the type of the abnormal environment state detection value from a preset database;
determining a first number and a second number based on the internet of things identifier; the first number is the number of characters in the Internet of things identifier, and the second number is the number of digits in the Internet of things identifier;
adding the first quantity to each odd number in the digital matrix respectively, and adding the second quantity to each even number in the digital matrix respectively to obtain a target digital matrix;
deleting the number of the target number matrix at the designated position to obtain a matrix vacancy; wherein the number of matrix vacancies is equal to the first number;
and the association management equipment sequentially inserts each character in the Internet of things identifier into the matrix empty space to obtain an identifier matrix and determines the abnormal environment state detection value based on the identifier matrix.
In a second aspect, the present application provides an environmental status monitoring system based on an identifier of the internet of things, including:
the acquisition module is used for acquiring environment state detection data through an environment state detection device associated with the Internet of things identifier; wherein the environmental state detection data is encrypted data;
the decryption module is used for decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data;
the adjustment module is used for acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model;
the input module is used for inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental state detection data includes at least one abnormal environmental state detection value;
the determining module is used for determining associated management equipment of the abnormal environment state detection values based on the types of the abnormal environment state detection values and the Internet of things identification, generating alarm information based on the abnormal environment state detection values and sending the alarm information to the management equipment.
The application provides an environmental state monitoring method and system based on an Internet of things identifier, wherein the method comprises the following steps: acquiring environmental state detection data through an environmental state detection device associated with the Internet of things identifier; wherein the environmental state detection data is encrypted data; decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data; acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model; inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental state detection data includes at least one abnormal environmental state detection value; for each abnormal environment state detection value, determining an associated management device of the abnormal environment state detection value based on the type of the abnormal environment state detection value and the Internet of things identification, generating alarm information based on the abnormal environment state detection value, and sending the alarm information to the management device. The method can improve the accuracy of environmental state monitoring.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an environmental condition monitoring method based on an internet of things identifier according to an embodiment of the present application;
fig. 2 is a schematic block diagram of an environmental condition monitoring system based on an identifier of the internet of things according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
With the rapid development of the Internet of things technology, the intelligent monitoring of the environmental state in industrial production is realized. In the existing environmental state monitoring method, environmental state detection data are generally obtained through various sensors, and then the obtained environmental state detection data are compared and analyzed with standard environmental state data to determine whether the environmental state is abnormal or not. The accuracy of such environmental condition monitoring methods has yet to be improved. Therefore, the application provides an environmental state monitoring method and system based on the Internet of things identification, so as to solve the problems.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a flowchart of an environmental status monitoring method based on an internet of things identifier according to an embodiment of the present application, and as shown in fig. 1, the environmental status monitoring method based on the internet of things identifier according to an embodiment of the present application includes steps S100 to S500.
Step S100, acquiring environment state detection data through an environment state detection device associated with an Internet of things identifier; wherein the environmental state detection data is encrypted data.
The Internet of things identifier is a sequence consisting of numbers and characters.
It should be noted that the environmental state detection device includes, but is not limited to, a temperature detection module, a humidity detection module, and an illumination intensity detection module, where the specific modules of the environmental state detection device include those modules, which depend on the specific application scenario of the environmental state monitoring method based on the internet of things identifier provided in the embodiment of the present application.
And step 200, decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data.
It should be noted that, the decrypting processing is performed on the environmental state detection data based on the internet of things identifier to obtain target environmental state detection data, including the following steps:
extracting numbers at designated positions from the Internet of things identifier, and sequentially arranging the extracted numbers to obtain a number sequence; wherein the number of digits in the digit sequence is n. For example, if the internet of things identifier is 2H6Y0U5R, the number sequence is 2605.
Extracting characters at a designated position from the Internet of things identifier, and sequentially arranging the extracted characters to obtain a character sequence; wherein the number of characters in the character sequence is n. For example, if the internet of things identifier is 2H6Y0U5R, the character sequence is HYUR.
And acquiring a preset initial decryption matrix. Wherein the initial decryption matrix is an n×n matrix. For example: the number sequence is 2605, the character sequence is HYUR, and the initial decryption matrix is a 4×4 matrix.
And sequentially replacing elements of the initial decryption matrix on a designated diagonal line from top to bottom based on the digital sequence to obtain a first intermediate target decryption matrix. For example, the number sequence is 2605, the initial decoding matrix is shown in formula (1), and the first intermediate encryption matrix is shown in formula (2).
（1）
（2）
Extracting target characters corresponding to the columns from the character sequence aiming at each column of the first intermediate target decryption matrix, and replacing elements of the columns at designated positions by using the target characters to obtain a second intermediate target decryption matrix; wherein the ordering of the columns in the first intermediate target decryption matrix is consistent with the ordering of the target characters in the character sequence. For example: and the character sequence is HYUR, the appointed position of the column is the position of the first element of the column, and the second intermediate target decryption matrix is shown in formula (3).
（3）
And deleting a first element in each row of the second intermediate target decryption matrix to obtain a first element vacancy, moving each element after the first element vacancy forward by one element vacancy to obtain a second element vacancy, and inserting the first element into the second element vacancy to obtain the target decoding matrix. For example, the second intermediate target decryption matrix is shown in equation (3), and the target decoding matrix is shown in equation (4).
（4）
And decrypting the environment state detection data based on the target decoding matrix.
It can be appreciated that, by adopting the method for decrypting the environmental state detection data based on the internet of things identifier provided by the embodiment to obtain the target environmental state detection data, the environmental state detection data can be prevented from being stolen by unauthorized personnel, and the safety of the environmental state detection data is ensured, so that the accuracy of an environmental state monitoring method is improved, and unnecessary economic losses are prevented.
And step S300, acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model.
It should be noted that, the initial environmental abnormal state classification model includes a plurality of initial environmental abnormal state classification sub-models with different dimensions, for example: the initial environment abnormal state classification model comprises an initial temperature abnormal state classification sub-model, an initial humidity abnormal state classification sub-model and an initial illumination intensity abnormal state classification sub-model, model parameters of a preset initial environment abnormal state classification model are adjusted based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model, and the method comprises the following steps of:
acquiring a target matching relation table from a preset database based on the Internet of things identifier; the matching relation in the target matching relation table is the matching relation of the time attribute and the initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted.
Analyzing the time information to obtain a time attribute corresponding to the time information; wherein the time attribute comprises at least one. For example, the time attribute information includes date and clock time.
Determining a target initial environment abnormal state classification sub-model in the target matching relation table according to each time attribute; the target initial environment abnormal state classification sub-model is an initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted.
And aiming at each target initial environment abnormal state classification sub-model, acquiring a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model based on the time attribute corresponding to the Internet of things identifier and the target initial environment abnormal state classification sub-model, and adjusting model parameters of the target initial environment abnormal state classification sub-model based on the model parameter adjustment rule to obtain an intermediate target environment abnormal state classification sub-model.
Fusing model parameters of the intermediate object environment abnormal state classification sub-model with the same dimension to obtain an object environment abnormal state classification sub-model, and generating the object environment abnormal state classification model based on each object environment abnormal state classification sub-model. For example: and fusing model parameters of the three intermediate object environment abnormal state classification sub-models corresponding to the dimension of the temperature to obtain an object environment abnormal state classification sub-model corresponding to the temperature, and fusing model parameters of the two intermediate object environment abnormal state classification sub-models corresponding to the dimension of the humidity to obtain an object environment abnormal state classification sub-model corresponding to the humidity.
When the model parameters of the intermediate object environment abnormal state classification sub-model in the same dimension are fused to obtain the object environment abnormal state classification sub-model, the model parameters of each intermediate object environment abnormal state classification sub-model in the dimension are fused to obtain fusion model parameters, and then the model parameters of any intermediate object environment abnormal state classification sub-model in the dimension are utilized to adjust to obtain the object environment abnormal state classification sub-model in the dimension.
It can be appreciated that, in the industrial production process, the requirements of different time periods on the environmental states are different, so the method for adjusting the model parameters of the preset initial environmental abnormal state classification model based on the internet of things identifier and the time information in the above embodiment to obtain the target environmental abnormal state classification model is beneficial to further improving the accuracy of the environmental state monitoring method.
Step S400, inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental condition detection data includes at least one abnormal environmental condition detection value.
Step S500, for each abnormal environment state detection value, determining an associated management device of the abnormal environment state detection value based on the type of the abnormal environment state detection value and the Internet of things identifier, generating alarm information based on the abnormal environment state detection value, and sending the alarm information to the management device.
The associated management equipment is provided with an alarm module, and the alarm module is used for sending prompt information to management personnel of the management equipment after the management equipment receives the alarm information.
Wherein the type of the abnormal environmental state detection value is determined by a unit of the abnormal environmental state detection value.
Wherein the alarm information at least comprises the abnormal environmental state detection value.
It should be noted that, the association management device for determining the abnormal environmental state detection value based on the type of the abnormal environmental state detection value and the identifier of the internet of things includes the following steps:
and acquiring a digital matrix corresponding to the type of the abnormal environment state detection value from a preset database. The preset database is provided with a digital matrix corresponding to each type of abnormal environment state detection value. For example, the digital matrix is shown in formula (5).
（5）
Determining a first number and a second number based on the internet of things identifier; the first number is the number of characters in the Internet of things identifier, and the second number is the number of digits in the Internet of things identifier. For example, if the internet of things identifier is 2H6Y0U5R, the first number is 4, and the second number is 4.
And adding the first quantity to each odd number in the digital matrix respectively, and adding the second quantity to each even number in the digital matrix respectively to obtain a target digital matrix. For example, the number matrix is shown in formula (5), the first number is 4, and the second number is 4, and the target number matrix is shown in formula 6.
（6）
Deleting the number of the target number matrix at the designated position to obtain a matrix vacancy; wherein the number of matrix nulls is equal to the first number.
And the association management equipment sequentially inserts each character in the Internet of things identifier into the matrix empty space to obtain an identifier matrix and determines the abnormal environment state detection value based on the identifier matrix. For example, the target number is shown in formula (6), and the numbers of the target number at the designated positions are 6, 5, 13 and 8 respectively, and the identification matrix is shown in formula (7).
（7）
It can be appreciated that, in the method for determining the association management device of the abnormal environmental state detection value based on the type of the abnormal environmental state detection value and the identifier of the internet of things provided in the above embodiment, a correct association management device can be matched for the abnormal environmental state detection value, which is helpful for further improving accuracy of an environmental state monitoring method.
According to the method provided by the embodiment, on one hand, the object environment state detection data is obtained by decrypting the environment state detection data based on the Internet of things identifier, the security of the object environment state detection data is improved, the object environment state detection data is prevented from being tampered by unauthorized personnel, and the accuracy of the environment state monitoring method is further improved, on the other hand, the object environment abnormal state classification model is obtained by adjusting model parameters of the preset initial environment abnormal state classification model based on the Internet of things identifier and the time information, and the object environment abnormal state classification model can accurately extract the abnormal environment state detection data in the environment state detection data, so that the accuracy of the environment state monitoring method is further improved.
In some embodiments, before the acquiring the environmental state detection data by the environmental state detection device associated with the internet of things identifier, the method further comprises:
acquiring a detection program of the environment state detection device, and detecting the environment state detection device based on the detection program to judge whether the environment state detection device is abnormal or not;
and if the environment state detection device is not abnormal, executing the environment state detection data acquired by the environment state detection device associated with the Internet of things identifier.
The detection program can be obtained from a preset database or a cloud.
According to the method provided by the embodiment, the environment state detection device is detected based on the detection program to judge whether the environment state detection device is abnormal, and when the environment state detection device is not abnormal, the environment state detection data are acquired through the environment state detection device associated with the Internet of things identifier, so that the accuracy of the environment state monitoring method is further improved.
In some embodiments, the obtaining the model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model based on the internet of things identifier and the time attribute corresponding to the target initial environment abnormal state classification sub-model includes the following steps:
and obtaining the sub-model number of the target initial environment abnormal state classification sub-model. Specifically, the sub-model number of the target initial environment abnormal state classification sub-model is obtained from the target matching relation table.
And encoding the time attribute corresponding to the target initial environment abnormal state classification sub-model based on a preset encoding rule to obtain an encoding sequence.
And respectively extracting numbers or characters of the Internet of things identifier, the submodel number and the coding sequence at the designated position, and arranging the extracted numbers or characters based on a preset ordering rule to obtain a text number corresponding to the target initial environment abnormal state classification submodel.
Acquiring a text corresponding to the target initial environment abnormal state classification sub-model from a preset database based on the text number; and the text is recorded with a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model.
According to the method provided by the embodiment, the sub-model number of the target initial environment abnormal state classification sub-model is firstly obtained, then the time attribute corresponding to the target initial environment abnormal state classification sub-model is coded based on a preset coding rule to obtain a coding sequence, finally the number or character of the Internet of things identifier, the sub-model number and the coding sequence at a designated position are respectively extracted, the extracted number or character is arranged based on a preset sorting rule to obtain the text number corresponding to the target initial environment abnormal state classification sub-model, and the text corresponding to the target initial environment abnormal state classification sub-model is obtained in a preset database based on the text number, so that the accurate model parameter adjustment rule can be matched for the target initial environment abnormal state classification sub-model.
Referring to fig. 2, fig. 2 is a schematic block diagram of a structure of an environmental status monitoring system 100 based on an internet of things identifier according to an embodiment of the present application, where, as shown in fig. 2, the environmental status monitoring system 100 based on the internet of things identifier includes:
an obtaining module 110, configured to obtain environmental state detection data through an environmental state detection device associated with the identifier of the internet of things; wherein the environmental state detection data is encrypted data.
And the decryption module 120 is configured to decrypt the environmental state detection data based on the identifier of the internet of things, to obtain target environmental state detection data.
The adjustment module 130 is configured to obtain time information at the current moment, and adjust model parameters of a preset initial environmental abnormal state classification model based on the internet of things identifier and the time information, so as to obtain a target environmental abnormal state classification model.
The input module 140 is configured to input the target environmental state detection data into the target environmental abnormal state classification model to obtain abnormal environmental state detection data; wherein the abnormal environmental condition detection data includes at least one abnormal environmental condition detection value.
A determining module 150, configured to determine, for each of the abnormal environmental state detection values, an associated management device of the abnormal environmental state detection value based on the type of the abnormal environmental state detection value and the internet of things identifier, generate alarm information based on the abnormal environmental state detection value, and send the alarm information to the management device.
It should be noted that, for convenience and brevity of description, specific working processes of the above-described apparatus and each module and unit may refer to corresponding processes in the foregoing embodiment of the environmental condition monitoring method based on the internet of things identifier, which are not described herein.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. The environment state monitoring method based on the Internet of things identification is characterized by comprising the following steps of:
acquiring environmental state detection data through an environmental state detection device associated with the Internet of things identifier; wherein the environmental state detection data is encrypted data;
decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data;
acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model;
inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental state detection data includes at least one abnormal environmental state detection value;
for each abnormal environment state detection value, determining an associated management device of the abnormal environment state detection value based on the type of the abnormal environment state detection value and the Internet of things identification, generating alarm information based on the abnormal environment state detection value, and sending the alarm information to the management device.
2. The method for monitoring an environmental state based on an internet of things identifier according to claim 1, wherein before the acquiring environmental state detection data by the environmental state detection device associated with the internet of things identifier, the method further comprises:
acquiring a detection program of the environment state detection device, and detecting the environment state detection device based on the detection program to judge whether the environment state detection device is abnormal or not;
and if the environment state detection device is not abnormal, executing the environment state detection data acquired by the environment state detection device associated with the Internet of things identifier.
3. The method for monitoring the environmental state based on the internet of things identification according to claim 1, wherein an alarm module is arranged on the associated management device, and the alarm module is used for sending prompt information to a manager of the management device after the management device receives the alarm information.
4. The method for monitoring the environmental state based on the internet of things identifier according to claim 1, wherein the decrypting the environmental state detection data based on the internet of things identifier to obtain the target environmental state detection data comprises:
extracting numbers at designated positions from the Internet of things identifier, and sequentially arranging the extracted numbers to obtain a number sequence; wherein the number of digits in the digit sequence is n;
extracting characters at a designated position from the Internet of things identifier, and sequentially arranging the extracted characters to obtain a character sequence; wherein the number of characters in the character sequence is n;
acquiring a preset initial decryption matrix; wherein the initial decryption matrix is an n×n matrix;
sequentially replacing elements of the initial decryption matrix on a designated diagonal line from top to bottom based on the digital sequence to obtain a first intermediate target decryption matrix;
extracting target characters corresponding to the columns from the character sequence aiming at each column of the first intermediate target decryption matrix, and replacing elements of the columns at designated positions by using the target characters to obtain a second intermediate target decryption matrix; wherein the ordering of the columns in the first intermediate target decryption matrix is consistent with the ordering of the target characters in the character sequence;
deleting a first element in each row of the second intermediate target decryption matrix to obtain a first element vacancy, moving each element after the first element vacancy forward by one element vacancy to obtain a second element vacancy, and inserting the first element into the second element vacancy to obtain a target decoding matrix;
and decrypting the environment state detection data based on the target decoding matrix.
5. The method for monitoring an environmental state based on an internet of things identifier according to claim 1, wherein the initial environmental abnormal state classification model includes a plurality of initial environmental abnormal state classification sub-models with different dimensions, the model parameters of the preset initial environmental abnormal state classification model are adjusted based on the internet of things identifier and the time information to obtain a target environmental abnormal state classification model, and the method comprises the following steps:
acquiring a target matching relation table from a preset database based on the Internet of things identifier; the matching relationship in the target matching relationship table is the matching relationship of the time attribute and the initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted;
analyzing the time information to obtain a time attribute corresponding to the time information; wherein the time attribute comprises at least one;
determining a target initial environment abnormal state classification sub-model in the target matching relation table according to each time attribute; the target initial environment abnormal state classification sub-model is an initial environment abnormal state classification sub-model which corresponds to the time attribute and needs to be adjusted;
aiming at each target initial environment abnormal state classification sub-model, acquiring a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model based on the time attribute corresponding to the Internet of things identifier and the target initial environment abnormal state classification sub-model, and adjusting model parameters of the target initial environment abnormal state classification sub-model based on the model parameter adjustment rule to obtain an intermediate target environment abnormal state classification sub-model;
fusing model parameters of the intermediate object environment abnormal state classification sub-model with the same dimension to obtain an object environment abnormal state classification sub-model, and generating the object environment abnormal state classification model based on each object environment abnormal state classification sub-model.
6. The method for monitoring an environmental state based on an internet of things identifier according to claim 5, wherein the obtaining a model parameter adjustment rule corresponding to the target initial environmental abnormal state classification sub-model based on a time attribute corresponding to the internet of things identifier and the target initial environmental abnormal state classification sub-model includes:
obtaining the sub-model number of the target initial environment abnormal state classification sub-model;
coding the time attribute corresponding to the target initial environment abnormal state classification sub-model based on a preset coding rule to obtain a coding sequence;
respectively extracting numbers or characters of the Internet of things identifier, the submodel number and the coding sequence at a designated position, and arranging the extracted numbers or characters based on a preset ordering rule to obtain a text number corresponding to the target initial environment abnormal state classification submodel;
acquiring a text corresponding to the target initial environment abnormal state classification sub-model from a preset database based on the text number; and the text is recorded with a model parameter adjustment rule corresponding to the target initial environment abnormal state classification sub-model.
7. The method for monitoring an environmental state based on an internet of things identifier according to claim 1, wherein the association management device for determining the abnormal environmental state detection value based on the type of the abnormal environmental state detection value and the internet of things identifier comprises:
acquiring a digital matrix corresponding to the type of the abnormal environment state detection value from a preset database;
determining a first number and a second number based on the internet of things identifier; the first number is the number of characters in the Internet of things identifier, and the second number is the number of digits in the Internet of things identifier;
adding the first quantity to each odd number in the digital matrix respectively, and adding the second quantity to each even number in the digital matrix respectively to obtain a target digital matrix;
deleting the number of the target number matrix at the designated position to obtain a matrix vacancy; wherein the number of matrix vacancies is equal to the first number;
and the association management equipment sequentially inserts each character in the Internet of things identifier into the matrix empty space to obtain an identifier matrix and determines the abnormal environment state detection value based on the identifier matrix.
8. An environmental condition monitoring system based on internet of things identification, comprising:
the acquisition module is used for acquiring environment state detection data through an environment state detection device associated with the Internet of things identifier; wherein the environmental state detection data is encrypted data;
the decryption module is used for decrypting the environment state detection data based on the Internet of things identifier to obtain target environment state detection data;
the adjustment module is used for acquiring time information at the current moment, and adjusting model parameters of a preset initial environment abnormal state classification model based on the Internet of things identifier and the time information to obtain a target environment abnormal state classification model;
the input module is used for inputting the target environment state detection data into the target environment abnormal state classification model to obtain abnormal environment state detection data; wherein the abnormal environmental state detection data includes at least one abnormal environmental state detection value;
the determining module is used for determining associated management equipment of the abnormal environment state detection values based on the types of the abnormal environment state detection values and the Internet of things identification, generating alarm information based on the abnormal environment state detection values and sending the alarm information to the management equipment.
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