Sensor data monitoring system based on 5G NB-IOT power distribution station

Abstract

The invention discloses a sensor data monitoring system based on a 5G NB-IOT power distribution station, relates to the field of monitoring, solves the problem of poor monitoring effect of an existing sensor data monitoring system, and comprises a data acquisition module which is used for respectively acquiring individual division data of a sensor and preliminary division data of sensor equipment to obtain basic monitoring data of the sensor, the mode matching module is used for acquiring secondary division data of the sensor equipment according to the sensor basic monitoring data and acquiring mode matching data of the sensor equipment according to the preliminary division data and the secondary division data of the sensor equipment; the data monitoring module is used for obtaining sensor monitoring codes according to the sensor equipment mode matching data and the sensor basic monitoring data, and the result transmission module is used for encrypting and transmitting the sensor monitoring codes. According to the sensor data monitoring system, low time delay, low power consumption and wide connection of the sensor data monitoring system can be achieved.

Description

Technical Field

[0001] The present invention belongs to the field of monitoring and relates to 5G NB-IOT technology, and specifically is a sensor data monitoring system based on a 5G NB-IOT distribution station. Background Art

[0002] The existing sensor data monitoring system based on 5G NB-IOT distribution station has the following specific defects when monitoring sensor data:

[0003] 1. The existing sensor data monitoring system can only perform a single type of sensor warning when monitoring sensor data. When there are multiple different types of sensors in the configuration station, it is impossible to perform an overall warning through monitoring data, resulting in a waste of monitoring resources and a lack of comprehensiveness in the warning results;

[0004] 2. When monitoring sensor data, the existing sensor data monitoring system cannot deeply match the working status of the sensor itself with the working mode of the 5G NB-IOT technology, which results in the monitoring system being unable to achieve low latency, low power consumption and wide connection in the monitoring process;

[0005] To this end, we propose a sensor data monitoring system based on 5G NB-IOT distribution station. Summary of the invention

[0006] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a sensor data monitoring system based on 5G NB-IOT distribution station. The present invention is based on obtaining a distribution map of distribution station sensors, obtaining multiple sensor devices according to the distribution map of distribution station sensors, obtaining sensor individual division data, respectively obtaining the periodic average data transmission volume, periodic average operating energy consumption and sensor device connection distance index corresponding to each sensor device, and analyzing to obtain multiple preliminary mode classification coefficients, obtaining preliminary mode classification coefficient thresholds, numerically comparing the multiple preliminary mode classification coefficients with the preliminary mode classification coefficient thresholds, and preliminarily dividing the corresponding sensor devices into first type sensor devices and second type sensor devices according to the numerical comparison results, obtaining preliminary sensor device division data, and comparing the sensor individual division data with the sensor device. The preliminary classification data of the sensor equipment is defined as the basic monitoring data of the sensor, and further pattern matching analysis is performed on the sensor equipment in the second type according to the basic monitoring data of the sensor, and the secondary classification data of the sensor equipment is obtained according to the analysis result, and the sensor equipment is pattern matched according to the preliminary classification data of the sensor equipment and the secondary classification data of the sensor equipment to obtain the pattern matching data of the sensor equipment, and the substation is periodically monitored according to the pattern matching data of the sensor equipment and the basic monitoring data of the sensor, and the periodic monitoring result of the sensor is encoded to obtain the sensor monitoring code, the sensor monitoring code is obtained, and the sensor monitoring code is encrypted to obtain the monitoring code encrypted data, and the monitoring code encrypted data is transmitted for data.

[0007] In order to achieve the above object, the present invention adopts the following technical solution: a sensor data monitoring system based on 5G NB-IOT distribution station, comprising:

[0008] Data acquisition module: used to obtain the distribution map of the distribution station sensor, obtain multiple sensor devices according to the distribution map of the distribution station sensor, obtain sensor individual division data, respectively obtain the period average data transmission volume, period average operation energy consumption and sensor device connection distance index corresponding to each sensor device, and analyze to obtain multiple preliminary mode classification coefficients, obtain the preliminary mode classification coefficient threshold, compare the multiple preliminary mode classification coefficients with the preliminary mode classification coefficient threshold, and preliminarily divide the corresponding sensor devices into the first type of sensor devices and the second type of sensor devices according to the numerical comparison results to obtain sensor device preliminary division data, and define the sensor individual division data and the sensor device preliminary division data as sensor basic monitoring data;

[0009] Pattern matching module: used to perform further pattern matching analysis on the second type of sensor device according to the basic monitoring data of the sensor, obtain the secondary division data of the sensor device according to the analysis result, perform pattern matching on the sensor device according to the preliminary division data of the sensor device and the secondary division data of the sensor device, and obtain the pattern matching data of the sensor device;

[0010] Data monitoring module: used to perform periodic monitoring of the substation according to the sensor equipment pattern matching data and the sensor basic monitoring data, and encode the sensor periodic monitoring results to obtain the sensor monitoring code;

[0011] Result transmission module: used to obtain the sensor monitoring code, encrypt the sensor monitoring code, obtain the monitoring code encrypted data, and transmit the monitoring code encrypted data for data transmission.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0013] 1. The present invention monitors various types of sensors in the power distribution station respectively, and analyzes and obtains the monitoring data security assessment coefficient to conduct an overall security assessment of the power distribution station, which can ensure the comprehensiveness and accuracy of the data monitoring results;

[0014] 2. The present invention deeply matches the working state of the sensor itself with the working mode of the 5G NB-IOT technology, ensuring the targeted deployment of different sensors in the 5G NB-IOT technology, thereby achieving low latency, low power consumption and wide connection in the monitoring process. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 is the overall system block diagram of the present invention;

[0017] Figure 2 It is a connection topology diagram corresponding to the sample sensors of the same type in the present invention;

[0018] Figure 3 It is a schematic diagram of the connection mode of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0020] Embodiment 1

[0021] See also Figure 1 , the present invention provides a technical solution: a sensor data monitoring system based on a 5G NB-IOT power distribution station, comprising an information acquisition module, a pattern matching module, a data monitoring module, a result transmission module and a server, wherein the information acquisition module, the pattern matching module, the data monitoring module and the result transmission module are respectively connected to the server, and the server controls the information acquisition module, the pattern matching module, the data monitoring module and the result transmission module respectively;

[0022] The data acquisition module obtains a distribution map of sensors in the distribution station, obtains a plurality of sensor devices according to the distribution map of sensors in the distribution station, obtains sensor individual division data, respectively obtains the periodic average data transmission volume, the periodic average operating energy consumption and the sensor device connection distance index corresponding to each sensor device, and analyzes and obtains a plurality of preliminary mode classification coefficients, obtains a preliminary mode classification coefficient threshold, numerically compares the plurality of preliminary mode classification coefficients with the preliminary mode classification coefficient threshold, and preliminarily divides the corresponding sensor devices into a first type of sensor device and a second type of sensor device according to the numerical comparison result, obtains sensor device preliminary division data, and defines the sensor individual division data and the sensor device preliminary division data as sensor basic monitoring data;

[0023] Obtain a distribution map of distribution station sensors, obtain each sensor device in the distribution map of distribution station sensors, obtain multiple sensor devices, randomly select a sensor device from the multiple sensor devices as a sample sensor device, and obtain sensor individual division data;

[0024] It should be noted here that:

[0025] In this application, the sensor devices involved include but are not limited to current sensors, voltage sensors, temperature sensors, humidity sensors, noise sensors, and water immersion sensors;

[0026] Collecting device information of the sample sensor device to obtain sensor monitoring data corresponding to the sample sensor device;

[0027] The details are as follows:

[0028] Collecting working data of the sample sensor device to obtain the periodic average operating energy consumption and periodic average data transmission volume corresponding to the sample sensor device;

[0029] The details are as follows:

[0030] During the period of collecting device information from the sample sensor device, a characteristic information monitoring period is marked, and a number of monitoring time points with the same time interval are randomly selected within the characteristic information monitoring period to obtain multiple information monitoring time points;

[0031] Respectively obtain the device data transmission volume corresponding to each monitoring time point of the sample sensor device, obtain multiple device data transmission volumes, and average the obtained multiple device data transmission volumes to obtain the period average data transmission volume corresponding to the sample sensor device;

[0032] The characteristic information monitoring cycle is divided into several information monitoring cycles to obtain multiple information monitoring sub-cycles, and the cycle energy consumption values ​​of the sample sensor equipment in each information monitoring sub-cycle are respectively obtained to obtain multiple equipment cycle energy consumption values, and the average of the obtained multiple equipment cycle energy consumption values ​​is calculated to obtain the cycle average operation energy consumption;

[0033] Obtain sensors of the same type as the sample sensor device in the distribution station sensor distribution map to obtain multiple sample sensors of the same type, and obtain the number of the sample sensors of the same type to obtain the number value of the sample devices of the same type;

[0034] See also Figure 2 , according to the distribution map of the substation sensors, the connection topology map corresponding to the sample similar sensors is obtained to obtain the sample device connection topology map, and the connection distance value corresponding to each two adjacent sample similar sensors is obtained according to the sample device connection topology map to obtain multiple sample sensor connection distance values, and the average of the obtained multiple sample sensor connection distance values ​​is calculated to obtain the average device connection distance value, and the product of the average device connection distance value and the number of sample similar devices is calculated to obtain the sensor device connection distance index;

[0035] The preliminary mode classification coefficient corresponding to the sample sensor device is obtained by calculating the periodic average data transmission volume, periodic average operation energy consumption and sensor device connection distance index corresponding to the sample sensor device;

[0036] The preliminary pattern classification coefficient corresponding to the sample sensor device is calculated, and the specific formula is as follows:

[0037] Cfl=Jlz 2 +Scl+Znh;

[0038] Among them, Cfl is the preliminary mode classification coefficient corresponding to the sample sensor device, Jlz is the sensor device connection distance index, Scl is the cycle average data transmission volume, and Znh is the cycle average operation energy consumption;

[0039] Repeat the preliminary pattern classification coefficients corresponding to the sample sensor devices, respectively obtain the preliminary pattern classification coefficients of each sensor device, and obtain multiple preliminary pattern classification coefficients;

[0040] Obtaining a preliminary mode classification coefficient threshold, numerically comparing a plurality of preliminary mode classification coefficients with the preliminary mode classification coefficient threshold, and preliminarily classifying the corresponding sensor devices into first-type sensor devices and second-type sensor devices according to the numerical comparison results, thereby obtaining preliminary sensor device classification data;

[0041] The details are as follows:

[0042] When the preliminary mode classification coefficient is greater than or equal to the preliminary mode classification coefficient threshold, the corresponding sensor device is classified as a first type of sensor device;

[0043] When the preliminary mode classification coefficient is less than the preliminary mode classification coefficient threshold, the corresponding sensor device is classified as a second type of sensor device;

[0044] The sensor individual classification data and sensor equipment preliminary classification data are defined as sensor basic monitoring data;

[0045] The information acquisition module acquires the basic monitoring data of the sensor and transmits it to the pattern matching module;

[0046] The pattern matching module performs further pattern matching analysis on the sensor device of the second type according to the basic monitoring data of the sensor, obtains secondary division data of the sensor device according to the analysis result, performs pattern matching on the sensor device according to the preliminary division data of the sensor device and the secondary division data of the sensor device, and obtains pattern matching data of the sensor device;

[0047] Obtain basic monitoring data of sensors, and obtain preliminary classification data of sensor devices based on the basic monitoring data of sensors;

[0048] Acquire preliminary classification data of sensor devices, and acquire each second type of sensor device according to the preliminary classification data of sensor devices to obtain a plurality of second type of sensor devices;

[0049] The working frequency band corresponding to each second-type sensor device is obtained respectively. If the working frequency band of the second-type sensor device is the LTE frequency band, the corresponding second-type sensor device is further divided into the second-type sensor device. If the working frequency band of the second-type sensor device is the blank protection band between the LTE frequency bands, the corresponding second-type sensor device is divided into the third-type sensor device to obtain the secondary division data of the sensor device.

[0050] It should be noted here that:

[0051] In this application, the LTE frequency band refers to a specific frequency range of existing wireless communication technology;

[0052] Acquire data from each second type of sensor device according to the preliminary classification of the sensor devices to obtain a plurality of first type of sensor devices;

[0053] Performing pattern matching on the sensor device according to the sensor device preliminary division data and the sensor device secondary division data, and defining the matching result as sensor device pattern matching data;

[0054] The details are as follows:

[0055] When the sensor device is a first type sensor device, under 5G NB-IOT, the first device connection mode is automatically matched for it;

[0056] When the sensor device is a second type sensor device, under 5G NB-IOT, the second device connection mode is automatically matched for it;

[0057] When the sensor device is a third type sensor device, under 5G NB-IOT, the third device connection mode is automatically matched for it;

[0058] It should be noted here that:

[0059] In this application, please refer to Figure 3 , the first device connection mode is specifically the Stand alone mode, the second device connection mode is specifically the Guard band mode, and the third device connection mode is specifically the In band mode;

[0060] The pattern matching module acquires the pattern matching data of the sensor device and transmits it to the data monitoring module;

[0061] The data monitoring module periodically monitors the substation according to the sensor equipment pattern matching data and the sensor basic monitoring data, and encodes the sensor periodic monitoring results to obtain the sensor monitoring code;

[0062] Obtain basic monitoring data of sensors, and obtain several sensor devices according to the basic monitoring data of sensors;

[0063] Acquire sensor device pattern matching data, deploy multiple sensor devices in corresponding working modes according to the sensor device pattern matching data, and acquire the deployed sensor devices to obtain multiple deployed sensors;

[0064] Respectively obtain the sensor type corresponding to each of the deployed sensors to obtain sensor type data, and divide the multiple deployed sensors into first type sensors to a-th type sensors according to the sensor type data;

[0065] It should be noted here that:

[0066] In this application, a is the type number value corresponding to the deployed sensor, and a is an integer greater than 0;

[0067] In the present application, the first type sensor involved here may be a temperature sensor, the second type sensor may be a humidity sensor, the third type sensor may be a noise sensor, the fourth type sensor may be a water immersion sensor... the a-1 type sensor may be a current sensor, and the a type sensor may be a voltage sensor;

[0068] When data monitoring is performed on the distribution station, the time point corresponding to the current moment is marked as the first characteristic time point, the time point corresponding to the characteristic monitoring duration before the first characteristic time point is marked as the second characteristic time point, and the period between the first characteristic time point and the second characteristic time point is marked as the sensor data monitoring period;

[0069] Respectively obtain the number of warnings of the first type sensor to the ath type sensor within the sensor data monitoring period to obtain the number of warnings of the first sensor to the ath sensor;

[0070] The average warning durations of the first type of sensor to the ath type of sensor within the sensor data monitoring period are respectively obtained to obtain the first average warning duration to the ath average warning duration;

[0071] The details are as follows:

[0072] In the sensor data monitoring cycle, a warning process of the first type of sensor is randomly selected as a characteristic warning process, the starting time value of the characteristic warning process is obtained to obtain a first warning time value, the ending time value of the characteristic warning process is obtained to obtain a second warning time value, the difference between the first warning time value and the second warning time value is calculated, and the absolute value of the obtained difference is taken to obtain the warning duration corresponding to the characteristic warning process;

[0073] Repeat the process of obtaining the warning duration corresponding to the characteristic warning process, respectively obtain the warning duration corresponding to each warning of the first type of sensor within the sensor data monitoring period, obtain multiple warning durations, and average the obtained multiple warning durations to obtain a first average warning duration;

[0074] The average warning durations corresponding to the second type of sensors to the ath type of sensors are respectively obtained to obtain the second average warning duration to the ath average warning duration;

[0075] The monitoring data safety assessment coefficient corresponding to the sensor data monitoring period of the distribution station is obtained by calculating the number of warnings from the first sensor to the ath sensor and the first average warning duration to the ath average warning duration;

[0076] The security assessment coefficient of monitoring data is calculated. The specific formula is as follows:

[0077]

[0078] Among them, Jap is the monitoring data security assessment coefficient, Ycs1 to Ycsa are respectively the warning times of the first sensor to the warning times of the ath sensor, Ysc1 to Ysca are respectively the first average warning duration to the ath average warning duration, and a is the number of types corresponding to the deployed sensors;

[0079] Obtaining a threshold value of a monitoring data security assessment coefficient, comparing the monitoring data security assessment coefficient with the monitoring data security assessment coefficient, encoding the monitoring result of the distribution station within the sensor data monitoring period according to the numerical comparison result, and obtaining a sensor monitoring code;

[0080] The details are as follows:

[0081] When the monitoring data security assessment coefficient is greater than or equal to the monitoring data security assessment coefficient threshold, the monitoring result of the distribution station within the sensor data monitoring cycle is coded as FF;

[0082] When the monitoring data security assessment coefficient is greater than or equal to the monitoring data security assessment coefficient threshold, the monitoring result of the distribution station within the sensor data monitoring cycle is coded as TT;

[0083] It should be noted here that:

[0084] In this application, FF represents that the distribution station operates abnormally during the sensor data monitoring period, and TT represents that the distribution station operates normally during the sensor data monitoring period;

[0085] The data monitoring module acquires the sensor monitoring code and transmits it to the result transmission module;

[0086] The result transmission module obtains the sensor monitoring code, encrypts the sensor monitoring code, obtains the monitoring code encrypted data, and transmits the monitoring code encrypted data for data transmission;

[0087] Obtain the sensor monitoring code, use a random number generator to generate a byte sequence of 128 bits in length, and obtain the generated key;

[0088] Convert the sensor monitoring code into the sensor monitoring Unicode code through the Unicode decoder, convert the sensor monitoring data Unicode code into the sensor monitoring binary code, and divide the sensor monitoring binary code into data groups of equal length;

[0089] It should be noted here that: in this application, the data packet length involved is 128 bits, corresponding to a 128-bit byte sequence key;

[0090] The previous data group of the current data group is used as the initial vector, the current data group is XORed with the initial vector, the result of the XOR operation is encrypted using the generated key, and the encrypted data is used as the initial vector of the next data group;

[0091] Repeat the above process, use the last encrypted data as the initial vector of the first data group, complete the encryption of all data groups, realize the encryption of the sensor monitoring code, obtain the encrypted sensor monitoring code, and transmit the encrypted sensor monitoring code to the server;

[0092] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0093] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A sensor data monitoring system based on 5G NB-IOT distribution station, characterized in that: include: Data acquisition module: used to obtain the distribution map of the distribution station sensor, obtain multiple sensor devices according to the distribution map of the distribution station sensor, and obtain the individual division data of the sensor; Pattern matching module: used to perform further pattern matching analysis on the second type of sensor device according to the basic monitoring data of the sensor, obtain the secondary division data of the sensor device according to the analysis result, perform pattern matching on the sensor device according to the preliminary division data of the sensor device and the secondary division data of the sensor device, and obtain the pattern matching data of the sensor device; Data monitoring module: used to perform periodic monitoring of the substation according to the sensor equipment pattern matching data and the sensor basic monitoring data, and encode the sensor periodic monitoring results to obtain the sensor monitoring code; Result transmission module: used to obtain the sensor monitoring code, encrypt the sensor monitoring code, obtain the monitoring code encrypted data, and transmit the monitoring code encrypted data for data transmission.

2. According to claim 1, a sensor data monitoring system based on a 5G NB-IOT distribution station is characterized in that: The data acquisition module also obtains the periodic average data transmission volume, periodic average operating energy consumption and sensor device connection distance index corresponding to each sensor device, and analyzes to obtain multiple preliminary pattern classification coefficients, obtains the preliminary pattern classification coefficient threshold, and numerically compares the multiple preliminary pattern classification coefficients with the preliminary pattern classification coefficient threshold. According to the numerical comparison results, the corresponding sensor devices are preliminarily divided into first type sensor devices and second type sensor devices to obtain preliminary classification data of the sensor devices, and the sensor individual classification data and the sensor device preliminary classification data are defined as sensor basic monitoring data.

3. According to claim 2, a sensor data monitoring system based on a 5G NB-IOT distribution station is characterized in that: The data acquisition module acquires basic monitoring data from the sensor, as follows: Obtain a distribution map of distribution station sensors, obtain each sensor device in the distribution map of distribution station sensors, obtain multiple sensor devices, randomly select a sensor device from the multiple sensor devices as a sample sensor device, and obtain sensor individual division data; Equipment information of the sample sensor equipment is collected to obtain the preliminary pattern classification coefficient corresponding to the sample sensor equipment.

4. According to claim 3, a sensor data monitoring system based on 5G NB-IOT distribution station is characterized in that: The data acquisition module acquires basic monitoring data from the sensor, as follows: Repeat the preliminary pattern classification coefficients corresponding to the sample sensor devices, respectively obtain the preliminary pattern classification coefficients of each sensor device, and obtain multiple preliminary pattern classification coefficients; A preliminary pattern classification coefficient threshold is obtained, multiple preliminary pattern classification coefficients are numerically compared with the preliminary pattern classification coefficient threshold respectively, and the corresponding sensor devices are preliminarily divided into first type sensor devices and second type sensor devices according to the numerical comparison results to obtain preliminary sensor device classification data.

5. According to claim 4, a sensor data monitoring system based on 5G NB-IOT distribution station is characterized in that: The data acquisition module acquires basic monitoring data from the sensor, as follows: When the preliminary mode classification coefficient is greater than or equal to the preliminary mode classification coefficient threshold, the corresponding sensor device is classified as a first type of sensor device; When the preliminary mode classification coefficient is less than the preliminary mode classification coefficient threshold, the corresponding sensor device is classified as a second type of sensor device.

6. A sensor data monitoring system based on a 5G NB-IOT distribution station according to claim 5, characterized in that: The data acquisition module obtains the preliminary pattern classification coefficient corresponding to the sample sensor device, as follows: Collecting working data of the sample sensor device to obtain the periodic average operating energy consumption and periodic average data transmission volume corresponding to the sample sensor device; In the distribution station sensor distribution map, sensors of the same type as the sample sensor device are obtained to obtain multiple sample sensors of the same type, and the number of the sample sensors of the same type is obtained to obtain the number value of the sample devices of the same type.

7. A sensor data monitoring system based on a 5G NB-IOT distribution station according to claim 6, characterized in that: The data acquisition module acquires the preliminary pattern classification coefficient corresponding to the sample sensor device, and specifically includes: According to the distribution map of distribution station sensors, the connection topology map corresponding to the sample similar sensors is obtained to obtain the sample equipment connection topology map. According to the sample equipment connection topology map, the connection distance values ​​corresponding to each two adjacent sample similar sensors are obtained to obtain multiple sample sensor connection distance values. The average of the obtained multiple sample sensor connection distance values ​​is calculated to obtain the average equipment connection distance value. The product of the average equipment connection distance value and the number of sample similar equipment is calculated to obtain the sensor equipment connection distance index.

8. A sensor data monitoring system based on a 5G NB-IOT distribution station according to claim 7, characterized in that: The data acquisition module obtains the preliminary pattern classification coefficient corresponding to the sample sensor device, as follows: The preliminary mode classification coefficient corresponding to the sample sensor device is obtained by calculating the periodic average data transmission volume, periodic average operation energy consumption and sensor device connection distance index corresponding to the sample sensor device; The preliminary pattern classification coefficients corresponding to the sample sensor devices are calculated.

9. A sensor data monitoring method based on a 5G NB-IOT distribution station, the method is implemented based on the system of claim 1, characterized in that: include: Obtain a distribution map of distribution station sensors, obtain multiple sensor devices according to the distribution map of distribution station sensors, and obtain sensor individual division data; Perform further pattern matching analysis on the sensor device of the second type according to the basic monitoring data of the sensor, obtain secondary division data of the sensor device according to the analysis result, perform pattern matching on the sensor device according to the preliminary division data of the sensor device and the secondary division data of the sensor device, and obtain pattern matching data of the sensor device; Perform periodic monitoring of the substation according to the sensor equipment pattern matching data and the sensor basic monitoring data, and encode the sensor periodic monitoring results to obtain the sensor monitoring code; The sensor monitoring code is obtained and encrypted to obtain the monitoring code encrypted data, and the monitoring code encrypted data is transmitted for data transmission.

10. A sensor data monitoring method based on 5G NB-IOT distribution station according to claim 9, characterized in that: The periodic average data transmission volume, periodic average operating energy consumption and sensor device connection distance index corresponding to each sensor device are obtained respectively, and multiple preliminary pattern classification coefficients are obtained by analysis, and the preliminary pattern classification coefficient threshold is obtained. The multiple preliminary pattern classification coefficients are numerically compared with the preliminary pattern classification coefficient threshold respectively, and the corresponding sensor devices are preliminarily divided into first type sensor devices and second type sensor devices according to the numerical comparison results to obtain sensor device preliminary classification data, and the sensor individual classification data and the sensor device preliminary classification data are defined as sensor basic monitoring data.

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