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method and device for calculating the early warning level of an Internet of Things sensor

A technology of early warning level and calculation method, which is used in computing, instrumentation, data processing applications, etc.

Inactive Publication Date: 2019-05-24
苏州百卓网络技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a calculation method and device for the early warning level of the sensor of the Internet of Things, aiming at solving the problem that the calculation method of the early warning level of the sensor in the existing Internet of Things early warning system is only based on the data reported by the sensor at that time , the problem of lack of correlation calculation for historical unprocessed early warning data

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  • method and device for calculating the early warning level of an Internet of Things sensor

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specific Embodiment 1

[0090] Such as figure 1 As shown, the embodiment of the present invention provides a calculation method for the early warning level of the IoT sensor, including:

[0091] Level setting step S101, which pre-sets the corresponding relationship between the warning range and the warning level:

[0092] Set the alert level rules for sensors, including:

[0093] Set the normal value range of the sensor data, the P-level early warning range, the P-1 level early warning range, ..., the second-level early warning range, the first-level early warning range; P is a positive integer;

[0094] Set the warning level of the sensor from low to high as follows: no warning, P level warning, P-1 level warning, ..., second level warning, first level warning;

[0095] If the data reported by the sensor is within the normal value range, the current warning level is no warning;

[0096] If the data reported by the sensor is within the P-level warning range, the current warning level is P-level wa...

specific Embodiment 2

[0132] Such as figure 2 As shown, an embodiment of the present invention provides a computing device for an early warning level of an Internet of Things sensor, including:

[0133] Grade setting module 201, used for:

[0134] Set the alert level rules for sensors, including:

[0135] Set the normal value range of the sensor data, the P-level early warning range, the P-1 level early warning range, ..., the second-level early warning range, the first-level early warning range; P is a positive integer;

[0136] Set the warning level of the sensor from low to high as follows: no warning, P level warning, P-1 level warning, ..., second level warning, first level warning;

[0137] If the data reported by the sensor is within the normal value range, the current warning level is no warning;

[0138] If the data reported by the sensor is within the P-level warning range, the current warning level is P-level warning;

[0139] If the data reported by the sensor is within the P-1 ear...

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Abstract

The invention discloses a method and device for calculating the early warning level of an Internet of Things sensor, and the method comprises the steps: comprehensively calculating the early warning level of the sensor based on the current early warning data of the sensor, historical unprocessed early warning data and the highest early warning level of the historical unprocessed early warning data. According to the invention, the device has the following advantages, The invention discloses an Internet of Things sensor early warning level and data currently reported by a sensor. historical unprocessed early warning data is obtained; The early warning level is obtained through comprehensive calculation from three aspects according to the correlation of the data in three aspects of the historical unprocessed highest early warning level, the early warning level generated by the early warning data of the sensor is comprehensively reflected, and the production hidden danger problem can be mined from the data reported by the sensor to the maximum extent and is reflected through the early warning level. The early warning level of the sensor is obtained through comprehensive calculation incombination with the historical unprocessed early warning events of the sensor, accurate calculation of the early warning level of the Internet of Things sensor is achieved, and the early warning level of the sensor can reflect the safety state of enterprise production activities more accurately.

Description

technical field [0001] The invention relates to the technical field of Internet of Things sensor early warning, in particular to a calculation method and device for an Internet of Things sensor early warning level. Background technique [0002] As the country attaches great importance to the safety production supervision of enterprises, more and more IoT sensors are applied to the production supervision of enterprises. The current IoT early warning system can already calculate the early warning level based on the data reported by the sensor, and according to the early warning level deal with the severity accordingly. However, the existing Internet of Things early warning system calculates the sensor early warning level only based on the data reported by the sensor at the time, and lacks the correlation calculation of the historical unprocessed early warning data, such as the number of unprocessed reports before the current early warning. Sub-low level early warning data and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0635G06Q50/265
Inventor 蔡文杰李睿智陈耀涛
Owner 苏州百卓网络技术有限公司
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