CN-121995870-A - AR-based DCS remote cooperation operation and maintenance system

CN121995870ACN 121995870 ACN121995870 ACN 121995870ACN-121995870-A

Abstract

The invention discloses an AR-based DCS remote cooperation operation and maintenance system, which particularly relates to the field of operation and maintenance management, and comprises an acquisition module, a parameter mapping module, a resource intelligent matching module, an accurate positioning module, an operation synchronization module, a dynamic verification module, an intelligent decision iteration module and a training module, wherein the acquisition module acquires multidimensional parameters and stores the multidimensional parameters into a distributed database after standardized processing, the parameter mapping module constructs an AR three-dimensional scene model based on space positioning data, calculates a scene modeling precision coefficient and dynamically maps the standardized parameters to the model, and the optimization configuration and operation synchronization of operation and maintenance resources are realized through cooperation matching degree calculation and cross-terminal AR cooperation interaction, so that the problems of poor cooperation synchronization and low resource scheduling in the prior art are solved, the cooperation management efficiency is enhanced, the fault response and treatment time is shortened, the operation and maintenance cooperation efficiency is improved, and the real-time cooperation requirement of complex fault treatment is met.

Inventors

MA YONG
Xiang Hanpeng
SUN PING
ZHU DIANZHANG
WANG YOUYU
LIU XIN
WANG DONG
JIA LIN
Lu Lingxuan

Assignees

华电新疆准东五彩湾发电有限公司

Dates

Publication Date: 20260508
Application Date: 20251223

Claims (9)

1. An AR-based DCS remote collaborative operation and maintenance system comprising: The acquisition module is used for acquiring the multidimensional parameters, carrying out standardized processing and storing the multidimensional parameters in the distributed database; the parameter mapping module is used for constructing an AR three-dimensional scene model based on the space positioning data, calculating a scene modeling precision coefficient and dynamically mapping the standardized parameters to the model; the resource intelligent matching module is used for extracting abnormal parameter characteristics to calculate fault grades, calculating cooperation matching degree by combining personnel attribute parameters and distributing an optimal operation and maintenance group; The accurate positioning module calculates a fault risk index, triggers acousto-optic early warning, calculates a fault accurate position coordinate through a triangular positioning algorithm and marks the fault accurate position coordinate in an AR scene; the operation synchronization module is used for receiving the AR collaborative space by the operation and maintenance group, calculating a collaborative consistency coefficient and controlling operation instruction transmission according to the coefficient; The dynamic verification module is used for calculating an adjustment execution coefficient based on the fault risk index and the collaborative consistency coefficient, determining an adjustment amplitude and dynamically verifying an adjustment effect; The intelligent decision iteration module is used for storing the operation and maintenance related data into a blockchain database, calculating an operation and maintenance efficiency improvement coefficient and optimizing an intelligent decision model; and the training module is used for constructing an AR virtual operation and maintenance training scene, calculating a training effect coefficient and judging the standard condition of training according to the coefficient.
2. The AR-based DCS remote collaborative operation and maintenance system according to claim 1, wherein the multi-dimensional parameters comprise equipment operation parameters, operation and maintenance environment parameters and operation and maintenance personnel attribute parameters, and the equipment operation parameters comprise equipment operation load L, control loop response time T, medium working pressure P and medium working temperature The operation and maintenance environment parameters comprise environment relative humidity H and equipment vibration frequency F, and the operation and maintenance personnel attribute parameters comprise skill proficiency S and response time K.
3. The AR-based DCS remote cooperative operation and maintenance system is characterized in that an AR three-dimensional scene model is constructed by adopting a ratio of 1:1, modeling data are derived from DCS equipment physical size, installation position and pipeline layout data obtained by a laser radar and visual positioning technology of a space positioning module, and a calculation formula of a scene modeling precision coefficient M is as follows And the parameter dynamic mapping presents parameter change at the corresponding position of the AR model in a color gradient and dynamic numerical label mode.
4. The AR-based DCS remote collaborative operation and maintenance system according to claim 2, wherein the calculation formula of the fault level G is as follows The calculation formula of the cooperation matching degree C is The optimal operation and maintenance group consists of 1 main operator and 2 auxiliary analyzers, wherein the group is allocated according to the result of the sequence of the collaborative matching degree C value, and fault positions, parameter abnormality details and personnel division information are pushed to the group through the AR terminal.
5. The AR-based DCS remote cooperative operation and maintenance system is characterized in that the calculation formula of the failure risk index R is as follows Wherein 、 Respectively representing rated working pressure and rated working temperature of equipment, triggering the acousto-optic early warning when R exceeds a preset threshold value, and calculating the fault accurate position coordinates (X, Y, Z) according to the calculation formula Wherein 、 And And the AR scene mark presents the fault position in a red highlighting mode.
6. The AR-based DCS remote collaborative operation and maintenance system according to claim 5, wherein the AR collaborative space supports real-time synchronization of pictures of a main operator and an auxiliary analyzer, has functions of marking, ranging and parameter calling, and the calculation formula of the collaborative consistency coefficient Y is as follows Wherein 、 And when Y is more than or equal to 0.8, allowing a main operator to send a remote control instruction, and transmitting the instruction to a DCS executing mechanism after encryption processing.
7. The AR-based DCS remote collaborative operation and maintenance system according to claim 6, wherein the calculation formula of the adjustment execution coefficient Z is as follows The adjustment amplitude is determined by a valve opening adjustment curve displayed by an AR terminal and a pump frequency adjustment gradient, and the adjustment effect is verified by simulating the effect on an AR scene before adjustment, wherein the adjustment effect is verified by the method of according to an adjustment effect coefficient Making a verification determination, wherein 、、、、、 And representing the corresponding parameters collected after adjustment, verifying that the judgment rule is that U is more than or equal to 0.7, judging that the adjustment is effective, and when U is less than 0.7, recalculating the Z value based on the parameter change trend to generate a secondary adjustment scheme until the requirement is met.
8. The AR-based DCS remote collaborative operation and maintenance system according to claim 1, wherein the operation and maintenance related data stored in the blockchain database comprises parameter data, collaborative process records, adjustment schemes and adjustment effect coefficient U values, the data has non-tamperable characteristics, and the operation and maintenance efficiency improves coefficients And the intelligent decision model is optimized by carrying out association analysis on the historical V value, the historical G value and the historical C value, adjusting the parameter threshold of the collaborative matching algorithm and the parameter threshold of the fault early warning model, and accessing the optimized data into an intelligent decision support system.
9. The AR-based DCS remote collaborative operation and maintenance system according to claim 4, wherein the AR virtual operation and maintenance training scene is constructed based on a precipitated fault case and an AR three-dimensional model, and the training effect coefficient Wherein A is the operation accuracy of the training personnel, And the Q value reaches the standard and can participate in actual operation and maintenance work, and the scene supports operation and maintenance processes for simulating different fault levels.

Description

AR-based DCS remote cooperation operation and maintenance system Technical Field The invention relates to the technical field of management operation and maintenance, in particular to an AR-based DCS remote cooperation operation and maintenance system. Background In the field of industrial production management and control, a Distributed Control System (DCS) has become a core support technology, and core functions such as production process monitoring, remote resource scheduling, operation and maintenance decision support, asset performance management and the like are widely combined, so that centralized management and full-flow operation of the distributed production equipment are realized. The existing DCS remote operation and maintenance technology has the advantages of breaking through regional limitation, reducing labor and time cost of on-site operation and maintenance, realizing automation of part of operation and maintenance processes by means of data analysis capability, and playing a role in production scheduling optimization and initial configuration of operation and maintenance resources. The method has the advantages that firstly, the condition of equipment can be judged through a two-dimensional data chart by operation and maintenance personnel, parameter association relation under complex working conditions is difficult to understand rapidly, operation and maintenance decision accuracy is limited, rationality of optimal allocation of production resources is affected, secondly, when multi-post operation and maintenance personnel are in remote collaboration, operation instruction transmission is delayed, data sharing lacks visual linkage, collaborative management efficiency is low, real-time collaborative requirements of complex fault treatment cannot be met, thirdly, fault positioning and adjustment are disjoint, the fault type can only be primarily identified, accurate positioning cannot be achieved by combining equipment space structures and real-time parameters in the prior art, dynamic verification mechanisms are lacked in an adjustment scheme, so that the floor effect of operation and maintenance process optimization is poor, fourthly, operation and maintenance experience is not fused with an intelligent decision model deeply, repeated operation and maintenance problems are outstanding, and the operation and maintenance resource waste is caused, and performance management level is not beneficial. Aiming at the defects of visual interaction, collaborative synchronization, accurate positioning and data multiplexing in the prior art, an AR-based DCS remote collaborative operation and maintenance system is urgently needed, a closed loop operation and maintenance system of 'data acquisition-visual presentation-collaborative decision-accurate execution-effect verification' is constructed by combining an AR visualization technology with a core function depth of data driving decision, collaborative resource scheduling, operation and maintenance flow optimization and asset performance improvement, and by innovative technical means of multi-dimensional parameter acquisition, three-dimensional scene modeling, collaborative matching scheduling, dynamic fault early warning and the like, so that the pain point of the prior art is solved, and the intelligent and high-efficiency level of industrial operation and maintenance is improved. Disclosure of Invention In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides an AR-based DCS remote collaborative operation and maintenance system, which solves the problems set forth in the above-mentioned background art by the following scheme. In order to achieve the purpose, the invention provides the technical scheme that the remote cooperation operation and maintenance system of the DCS based on the AR comprises the following components: The acquisition module is used for acquiring the multidimensional parameters, carrying out standardized processing and storing the multidimensional parameters in the distributed database; the parameter mapping module is used for constructing an AR three-dimensional scene model based on the space positioning data, calculating a scene modeling precision coefficient and dynamically mapping the standardized parameters to the model; the resource intelligent matching module is used for extracting abnormal parameter characteristics to calculate fault grades, calculating cooperation matching degree by combining personnel attribute parameters and distributing an optimal operation and maintenance group; The accurate positioning module calculates a fault risk index, triggers acousto-optic early warning, calculates a fault accurate position coordinate through a triangular positioning algorithm and marks the fault accurate position coordinate in an AR scene; the operation synchronization module is used for receiving the AR collaborative space by the operation and maintenance group,