CN-121302341-B - Special equipment intelligent control method and system based on Internet of things

CN121302341BCN 121302341 BCN121302341 BCN 121302341BCN-121302341-B

Abstract

The invention relates to the field of special equipment safety management, and discloses an intelligent control method and system for special equipment based on the Internet of things. The method comprises the steps of collecting facial images and fingerprint data of operators through an industrial Internet of things sensor, combining a preset biological recognition template to obtain preliminary verification information, retrieving personnel qualification grade and historical operation records from a database, determining comprehensive qualification scores through random forest algorithm processing, collecting equipment temperature and pressure parameters in real time, marking abnormality to generate a state label after exceeding a threshold value after detection, verifying identity authenticity in multiple dimensions based on the state label and the qualification score, matching equipment operation qualification requirements, generating matching degree, achieving standard to generate a temporary permission token, otherwise refusing access, encrypting the token, transmitting the token to an equipment control module, and adjusting an operation range in real time to complete dynamic permission configuration. The method realizes accurate authority control, improves the operation safety and management efficiency of special equipment, and provides guarantee for safe operation of industrial production.

Inventors

MO JIAMING
HUANG SHIWEI
HUANG LIANGFA
WU ZHIHANG
DENG YONGCHANG
XIAO KANG
HUANG YU
CAO FUXIANG

Assignees

广东省特种设备检测研究院佛山检测院
广东省特种设备检测研究院茂名检测院

Dates

Publication Date: 20260512
Application Date: 20251210

Claims (7)

1. The intelligent control method for the special equipment based on the Internet of things is characterized by comprising the following steps of: Acquiring facial images and fingerprint data of operators through an industrial Internet of things sensor, and matching the facial images and the fingerprint data with a preset biological recognition template to obtain primarily verified identity information; According to the primarily verified identity information, the qualification grade and the historical operation record of the corresponding personnel are called from a preset database, and a trained random forest algorithm is adopted for comprehensive evaluation to determine the comprehensive qualification score; acquiring operation parameters of special equipment in real time through an industrial Internet of things interface, comparing the operation parameters with a preset safety threshold, and marking equipment abnormality if the safety threshold is exceeded, so as to obtain an equipment state label; Performing authenticity verification on the primarily verified identity information by adopting a multidimensional verification mechanism, extracting corresponding operation qualification requirements from the equipment state label, performing matching verification on the comprehensive qualification score and the operation qualification requirements, fusing an authenticity verification and matching verification result, outputting a quantized value as a matching degree, generating a temporary permission token if the matching degree is higher than a preset matching threshold, otherwise refusing to access, and determining a permission allocation basis; The method comprises the steps of extracting a temporary authority token from an authority allocation basis, transmitting the temporary authority token to a special equipment control module through an encryption protocol, adjusting an operation instruction range in real time to complete dynamic authority configuration, triggering an alarm mechanism when the fact that an operation instruction is not matched with an equipment state label is detected, collecting real-time feedback data in a current scene at the same time, updating a historical operation record and the equipment state label in a preset database by using the collected real-time feedback data, synchronously adjusting an evaluation dimension weight of a comprehensive qualification score, collecting facial images and fingerprint data of an operator again, combining the facial images and fingerprint data of the operator, completing matching by the biological recognition template to generate optimized identity information, starting a multi-dimension verification mechanism to perform fusion processing according to the optimized identity information and the current equipment state label, and generating an updated temporary authority token according to a processing result to complete continuous iteration of the dynamic authority configuration, wherein the real-time feedback data comprises specific operation instruction content triggered by the operator, time information triggered by instruction transmission and execution, equipment core operation parameter fluctuation data corresponding to the operation instruction, response state of the instruction and state switching time of the equipment and environment interference parameters of the operation scene; The temporary permission token is a dynamic electronic certificate binding personnel qualification and equipment state, and comprises an operation range and timeliness.
2. The intelligent control method for special equipment based on the internet of things according to claim 1, wherein the steps of acquiring facial images and fingerprint data of operators through an industrial internet of things sensor and matching the facial images and the fingerprint data with a preset biological recognition template to obtain preliminarily verified identity information comprise the steps of: according to the identity verification requirement before the operation of the special equipment, starting an industrial Internet of things sensor to acquire facial images and fingerprint data of an operator; Transmitting the facial image and fingerprint data to a data processing module, extracting feature points from the acquired facial image, comparing the feature points with authorized facial standard features, and simultaneously comparing the extracted feature points with fingerprint reference texture features, wherein the biological recognition template comprises the authorized facial standard features and the fingerprint reference texture features; After the comparison is completed, each comparison result is analyzed, if all the comparison results meet the preset matching standard, the identity information passing the preliminary verification is judged and generated, and if any comparison result does not reach the standard, the re-acquisition is triggered until the identity information completing the preliminary verification is acquired or the identity verification is confirmed to fail.
3. The intelligent control method for special equipment based on the internet of things according to claim 1, wherein the step of retrieving the qualification grade and the history operation record of the corresponding person from a preset database according to the primarily verified identity information, and performing comprehensive evaluation by using a trained random forest algorithm to determine the comprehensive qualification score comprises the following steps: according to the primarily verified identity information, initiating directional inquiry to a preset database, and extracting qualification grade and historical operation record of corresponding personnel; extracting the operation requirement of the current special equipment from the equipment state label, integrating the qualification grade, the historical operation record and the extracted operation requirement to form a comprehensive data set, and performing data cleaning treatment on missing information and abnormal value in the comprehensive data set; Carrying out multidimensional evaluation on the comprehensive data set after the cleaning treatment by adopting a trained random forest algorithm, and respectively evaluating the adaptation degree of the qualification grade and the operation requirement, the historical operation compliance and the operation proficiency by constructing a preset number of decision trees and outputting an evaluation result, wherein the decision trees are core constituent units of the random forest algorithm; and (5) summarizing and calculating based on the evaluation results of the decision trees, and determining the comprehensive qualification score reflecting the comprehensive operation capability of the corresponding personnel.
4. The intelligent control method for special equipment based on the internet of things according to claim 1, further comprising, after completing the dynamic permission configuration: monitoring the operation scene change corresponding to the temporary permission token in real time, immediately and automatically triggering the token state verification after any operation scene change is monitored, and immediately invalidating the temporary permission token if an operator does not execute operation or the equipment is converted from a normal state to an abnormal state after exceeding a preset time period; After the temporary permission token fails, the token failure information is synchronously transmitted to a special equipment control module and a preset database, the special equipment control module immediately empties the current operation permission range after receiving the failure information, and the preset database synchronously records the token failure time and failure reasons; The operation scene change covers interruption of operation behaviors of operators, switching of running states of special equipment and abnormal operation environment parameters.
5. The intelligent control system of special equipment based on the internet of things is characterized by being used for realizing the intelligent control method of the special equipment based on the internet of things according to any one of claims 1 to 4, and comprising the following steps: The data acquisition module acquires facial images and fingerprint data of operators through an industrial Internet of things sensor and matches the facial images and the fingerprint data with a preset biological recognition template to obtain primarily verified identity information; The comprehensive evaluation module is used for calling the qualification grade and the historical operation record of the corresponding personnel from a preset database according to the initially verified identity information, and comprehensively evaluating by adopting a trained random forest algorithm to determine the comprehensive qualification score; the abnormality detection module is used for acquiring operation parameters of special equipment in real time through an industrial Internet of things interface, comparing the operation parameters with a preset safety threshold, and marking equipment abnormality if the safety threshold is exceeded to obtain an equipment state label; The permission distribution module performs authenticity verification on the preliminarily verified identity information by adopting a multidimensional verification mechanism, extracts corresponding operation qualification requirements from the equipment state label, performs matching verification on the comprehensive qualification score and the operation qualification requirements, fuses an authenticity verification and matching verification result and outputs a quantized value as a matching degree, if the matching degree is higher than a preset matching threshold value, a temporary permission token is generated, otherwise, access is refused, and therefore permission distribution basis is determined; The authority configuration module extracts a temporary authority token from the authority allocation basis, transmits the temporary authority token to the special equipment control module through an encryption protocol, and adjusts the operating instruction range in real time to complete dynamic authority configuration; The temporary permission token is a dynamic electronic certificate binding personnel qualification and equipment state, and comprises an operation range and timeliness.
6. The intelligent control system of a special device based on the internet of things according to claim 5, further comprising an optimization updating module, wherein the optimization updating module comprises: The alarm unit is used for triggering an alarm mechanism when the operation instruction is not matched with the equipment state label, and collecting real-time feedback data in the current scene; the data updating unit is used for updating a historical operation record and an equipment state label in a preset database by utilizing the collected real-time feedback data and synchronously adjusting the evaluation dimension weight of the comprehensive qualification score; The secondary data acquisition unit is used for re-acquiring facial images and fingerprint data of operators, and combining the biological recognition templates to complete matching so as to generate optimized identity information; The secondary authority configuration unit starts a multi-dimensional verification mechanism to perform fusion processing aiming at the optimized identity information and the current equipment state label, generates an updated temporary authority token according to the processing result, and completes continuous iteration of dynamic authority configuration; The real-time feedback data comprise specific operation instruction content triggered by an operator, time information of instruction sending and execution, equipment core operation parameter fluctuation data corresponding to the operation instruction, response state of equipment to the instruction, state switching time and environment interference parameters of an operation scene.
7. The internet of things-based specialty appliance intelligent control system of claim 5, further comprising a token failure monitoring module, said token failure monitoring module comprising: The failure monitoring unit monitors the operation scene change corresponding to the temporary permission token in real time, immediately and automatically triggers the token state verification after any operation scene change is monitored, and immediately fails the temporary permission token if an operator does not execute operation or the equipment is converted from a normal state to an abnormal state after exceeding a preset time; The abnormal response unit is used for synchronously transmitting the token failure information to the special equipment control module and a preset database after the temporary permission token fails, and immediately clearing the current operation permission range after the special equipment control module receives the failure information, wherein the preset database synchronously records the token failure time and failure reasons; The operation scene change covers interruption of operation behaviors of operators, switching of running states of special equipment and abnormal operation environment parameters.

Description

Special equipment intelligent control method and system based on Internet of things Technical Field The invention relates to the field of special equipment safety management, in particular to an intelligent control method and system for special equipment based on the Internet of things. Background Special equipment (such as a boiler, a pressure vessel or a lifting machine) is a core support for industrial production, and the safe and stable operation of the special equipment directly relates to the life safety of operators and the production efficiency of enterprises, and has irreplaceable functions in key fields such as chemical industry, energy sources and the like. Along with the rapid development of industrial Internet of things technology, intelligent management has become the core direction for improving the safety and the operation efficiency of special equipment, and scientific control of operation authority is taken as a key link of intelligent management, and the technical rationality directly determines the landing effect of an overall management system. The NB-IoT technology provides reliable support for real-time transmission of special equipment data in an industrial scene by virtue of the characteristics of wide coverage, low power consumption and large connection, solves the problems of insufficient coverage and excessive power consumption of traditional wireless transmission in an industrial complex environment, creates conditions for realizing dynamic linkage of operation authority, equipment state and personnel qualification, and promotes special equipment management to change from a traditional mode depending on manual check to an intelligent collaborative mode driven by data. The traditional management mode still takes manual checking of operator qualification and fixed authority allocation as main modes in the field of special equipment management, and is difficult to adapt to complex and changeable industrial operation scenes, wherein the manual checking is low in efficiency, qualification checking omission is easily caused by manual negligence, potential safety hazards exist, the fixed authority allocation is unchanged for a long time once being determined, the fixed authority allocation cannot be flexibly optimized according to dynamic requirements such as operator position adjustment or skill updating, state differences caused by parameter changes such as temperature or pressure in the operation process of special equipment are not considered, for example, high-load operation is still allowed according to the conventional authority when the equipment pressure exceeds standard, and faults are extremely easy to cause. The existing improved method is tried to introduce an identity verification technology, but most of the improved methods rely on a single mode such as a password or a magnetic card, so that the problems of fraudulent use or losing are easy to occur, and part of the improved methods introduce facial recognition or fingerprint recognition to a biological recognition method, and the recognition accuracy is reduced due to factors such as dust, high temperature or electromagnetic interference in an industrial environment. More critical, the existing method generally cuts the association of personnel qualification, equipment state and operation authority, and does not utilize NB-IoT technology to realize real-time coordination of multi-dimensional data, so that authority allocation lacks dynamics and accuracy, and the actual requirement of special equipment safety management cannot be met. Therefore, how to realize high-reliability identity verification and real-time equipment state analysis by means of NB-IoT technology in a complex industrial environment breaks through information splitting of personnel-equipment-permission, and finally realizes dynamic and accurate allocation of operation permission, which becomes a key problem of intelligent control of special equipment. Disclosure of Invention The invention provides an intelligent control method and system for special equipment based on the Internet of things, which are used for realizing accurate authority control, improving the operation safety and management efficiency of the special equipment and providing guarantee for the safe operation of industrial production. In order to solve the technical problems, the invention provides an intelligent control method for special equipment based on the internet of things, which comprises the following steps: Acquiring facial images and fingerprint data of operators through an industrial Internet of things sensor, and matching the facial images and the fingerprint data with a preset biological recognition template to obtain primarily verified identity information; According to the primarily verified identity information, the qualification grade and the historical operation record of the corresponding personnel are called from a preset database, and a trained random forest algori