CN-121979132-A - Remote automatic control method and system for Internet equipment

CN121979132ACN 121979132 ACN121979132 ACN 121979132ACN-121979132-A

Abstract

The invention belongs to the technical field of automatic control, and discloses a remote automatic control method and a remote automatic control system for internet equipment; the method comprises the steps of collecting industrial environment parameters of an industrial workshop in real time, intelligently predicting the optimal operation parameters of each industrial environment control device, dynamically simulating the air flow state in the industrial workshop based on the optimal operation parameters, acquiring multidimensional air flow field data of different spatial areas in the industrial workshop, identifying conflict areas in the spatial areas, evaluating the conflict characteristics of each conflict area, carrying out global linkage optimization on the optimal operation parameters of each industrial environment control device to obtain linkage optimization parameters, and carrying out remote control on each industrial environment control device.

Inventors

CHEN JINGGANG
SHI ZHONGHUI

Assignees

徐州市亿龙机电科技有限公司

Dates

Publication Date: 20260505
Application Date: 20251230

Claims (10)

1. The remote automatic control method for the Internet equipment is characterized by comprising the following steps of: collecting industrial environment parameters of an industrial workshop in real time; based on the industrial environment parameters acquired in real time, intelligently predicting the optimal operation parameters of each industrial environment control device; Based on the optimal operation parameters of each industrial environment control device, dynamically simulating the air flow state in the industrial workshop, and acquiring multidimensional air flow field data of different space areas in the industrial workshop; Carrying out wind field coupling analysis on multidimensional air flow field data of different space areas, identifying conflict areas in the space areas, and carrying out interference evaluation on each conflict area in sequence to obtain conflict characteristics of each conflict area; based on the conflict characteristics of each conflict area, performing global linkage optimization on the optimal operation parameters of each industrial environment control device to obtain linkage optimization parameters; and remotely controlling each industrial environment control device according to the linkage optimization parameters of each industrial environment control device.
2. The method of claim 1, wherein intelligently predicting the content of the optimal operating parameters for each of the industrial environmental control devices comprises: Constructing a three-dimensional grid model of an industrial workshop, and mapping industrial environment parameters into grid cells in the three-dimensional grid model to obtain the industrial environment parameters of each grid cell; setting different digital labels for each grid unit in turn and marking the digital labels as grid labels, taking industrial environment parameters and corresponding grid labels of each grid unit as a group of environment sets, determining influence units corresponding to each industrial environment control device, taking environment sets corresponding to all influence units of each industrial environment control device as a group of influence sets, and respectively inputting each group of influence sets into a trained parameter prediction model to predict optimal operation parameters corresponding to each industrial environment control device.
3. The method of remotely and automatically controlling an internet appliance according to claim 2, wherein the step of dynamically simulating the air flow state in the industrial plant comprises: step S1, randomly selecting one industrial environment control device and marking the selected device as the selected device; Step S2, setting a plurality of particles for each influence unit of the selected equipment, and acquiring particle positions; Step S3, acquiring the air flow rate of an industrial workshop in real time, and setting a corresponding particle flow rate for each particle in sequence by combining the optimal operation parameters of the selected equipment; step S4, updating the particle flow rate of each particle based on the particle position and the hydrodynamic effect; Step S5, updating the particle position of each particle based on the updated particle flow velocity; step S6, respectively carrying out equal weight average calculation on the particle flow velocity after the particle update corresponding to each influence unit to obtain the average flow velocity of each influence unit; Step S7, calculating flow field stability, judging whether iteration convergence is achieved, returning to step S4 if iteration convergence is not achieved, and entering step S8 if iteration convergence is achieved; And S8, circulating the steps S1 to S7 until all the industrial environment control devices are marked as selected devices, ending the circulation, and obtaining a plurality of average flow rates corresponding to each grid unit.
4. The method for remotely and automatically controlling internet equipment according to claim 3, wherein the step of acquiring the contents of the multidimensional air flow field data of different spatial areas in the industrial workshop comprises the steps of: Clustering all grid cells according to a plurality of average flow rates corresponding to each grid cell to obtain a plurality of cluster clusters, combining adjacent grid cells belonging to the same cluster in a three-dimensional grid model to form a space region, and taking the corresponding grid cell as a space region independently if the grid cells in the cluster are not adjacent to all other grid cells in the three-dimensional grid model; for a plurality of average flow rates corresponding to each space region, carrying out average value calculation on the same average flow rate corresponding to the industrial environment control equipment to obtain a plurality of region flow rates corresponding to each space region; and integrating the flow rates of the multiple areas corresponding to each space area to form multidimensional air flow field data of each space area.
5. The method of claim 4, wherein identifying the content of the conflict area within the spatial area comprises: Based on the multidimensional air flow field data corresponding to each space region, reverse fluidity and direction consistency corresponding to each space region are calculated in sequence; according to the reverse mobility and direction consistency of each space region, sequentially calculating the hedging strength index and the confusion index of each space region; Sequentially carrying out standardization processing on the hedging intensity index and the confusion degree index of each space region to obtain a standard hedging index and a standard confusion index of each space region; And comparing the comprehensive conflict index of each space region with a preset conflict threshold value in sequence, and marking the corresponding space region as a conflict region if the comprehensive conflict index is larger than or equal to the conflict threshold value.
6. The remote automation control method of an internet device according to claim 5, wherein obtaining the content of the conflict characteristics of each conflict area comprises: The method comprises the steps of S2, marking particles corresponding to each conflict area as analysis particles, obtaining particle positions corresponding to each analysis particle in a step of dynamically simulating an air flow state in an industrial workshop, obtaining corresponding grid units in a three-dimensional grid model according to the particle positions corresponding to each analysis particle, marking the corresponding grid units as propagation units, carrying out de-duplication processing on the propagation units corresponding to each conflict area and corresponding to analysis particles, determining an influence range of each conflict area according to the propagation units corresponding to each conflict area after de-duplication, taking a comprehensive conflict index of each conflict area as corresponding conflict intensity, and integrating the influence range and the conflict intensity of each conflict area to form conflict characteristics of each conflict area.
7. The method for remotely and automatically controlling internet equipment according to claim 6, wherein obtaining contents of the linkage optimization parameters comprises: Analyzing the influence ranges of all the conflict areas, screening irrelevant areas in the conflict areas, and deleting the irrelevant areas from the conflict areas; Acquiring a range set, wherein the range set comprises a parameter range of each parameter in the optimal operation parameters corresponding to each industrial environment control device, randomly selecting a numerical value from each parameter range to form the optimal operation parameters of each industrial environment control device, integrating the optimal operation parameters of each industrial environment control device to form a group of candidate optimal parameters, and the like, and co-acquiring A set of candidate optimization parameters; according to the optimized operation parameters of each industrial environment control device, performing dynamic simulation on the air flow state, wind field coupling analysis and interference evaluation in the industrial workshop again to obtain the conflict characteristics of each conflict area under each set of candidate optimization parameters, and marking the conflict characteristics as optimization characteristics; and calculating the characteristic optimization index of each group of candidate optimization parameters based on the conflict characteristic and the optimization characteristic of each conflict area, and taking the candidate optimization parameter with the largest characteristic optimization index as the linkage optimization parameter.
8. The method for remotely and automatically controlling an internet device according to claim 7, wherein screening out contents of irrelevant areas in a conflict area comprises: Analyzing the influence range of each conflict area to judge whether a core unit exists in the influence range, marking the corresponding conflict area as an irrelevant area if the core unit does not exist in the influence range, and marking the corresponding conflict area as the irrelevant area if the core unit exists in the influence range.
9. The method of remote automation control of an internet appliance according to claim 8, wherein calculating the content of the characteristic optimization index for each set of candidate optimization parameters comprises: The method comprises the steps of calculating the difference between the conflict intensity in the conflict characteristic corresponding to each conflict area and the conflict intensity in the corresponding optimization characteristic to obtain conflict optimization indexes, counting the number of the propagation units contained in the corresponding influence range of each group of optimization characteristics and taking the number of the propagation units as the optimization weight of the corresponding conflict area, and carrying out weighted summation calculation on the conflict optimization indexes of each group of candidate optimization parameters corresponding to each conflict area based on the optimization weight to obtain the characteristic optimization indexes of each group of candidate optimization parameters.
10. An internet appliance remote automation control system implementing the internet appliance remote automation control method of any of claims 1-9, comprising: The environment sensing module is used for collecting industrial environment parameters of the industrial workshop in real time; The operation prediction module is used for intelligently predicting the optimal operation parameters of each industrial environment control device based on the industrial environment parameters acquired in real time; The air flow simulation module is used for dynamically simulating the air flow state in the industrial workshop based on the optimal operation parameters of each industrial environment control device and acquiring multidimensional air flow field data of different space areas in the industrial workshop; The conflict identification module is used for carrying out wind field coupling analysis on the multidimensional air flow field data of different space areas, identifying conflict areas in the space areas, and carrying out interference evaluation on each conflict area in sequence to obtain the conflict characteristics of each conflict area; the linkage optimization module is used for carrying out global linkage optimization on the optimal operation parameters of each industrial environment control device based on the conflict characteristics of each conflict area to obtain linkage optimization parameters; And the remote control module is used for remotely controlling each industrial environment control device according to the linkage optimization parameters of each industrial environment control device.

Description

Remote automatic control method and system for Internet equipment Technical Field The invention relates to the technical field of automatic control, in particular to a remote automatic control method and system for internet equipment. Background With the rapid development of industrial informatization and intelligent manufacturing technologies, environmental control demands in industrial workshops are increasingly complex, and in particular, in scenes involving high requirements on cleanliness and sensitive environmental fluctuations (such as electronic component manufacturing, precision machining, new energy batteries, medical workshops and the like), in order to ensure process stability and product quality, various industrial environmental control devices including heating ventilation, air conditioning (HVAC), ventilation, dust removal and the like are required to cooperatively operate so as to maintain stability and controllability of key environmental parameters such as temperature and humidity, particulate matter concentration, air flow and the like. In the prior art, most of industrial environment control systems operate in a mode of independent control or local linkage of single equipment, mainly rely on a PLC controller or local control logic to simply control parameters (such as set temperature, wind speed threshold value and the like), the mode lacks comprehensive perception, dynamic prediction and intelligent response to the state of an integral air flow field of a workshop, and is difficult to cope with complex dynamic environment problems caused by mutual interference among equipment, and in the case of a scene of coexistence of multiple air valves, exhaust equipment and an air-conditioning air supply system which are common in an actual industrial workshop, air flows generated among different equipment easily form wind field coupling phenomena, such as air path interference, vortex accumulation, wind short circuit and the like, so that problems of dust backflow, temperature control dead angle or negative pressure disorder and the like occur in local areas, the yield of products is further influenced, energy consumption is wasted, the running efficiency of the system is reduced, and the adaptability and stability of the existing control system under the complex environment are obviously insufficient. In view of the above, the present invention proposes a method and a system for remote automatic control of internet devices to solve the above-mentioned problems. Disclosure of Invention In order to overcome the defects in the prior art and achieve the purposes, the invention provides the following technical scheme that the remote automatic control method of the Internet equipment comprises the following steps: collecting industrial environment parameters of an industrial workshop in real time; based on the industrial environment parameters acquired in real time, intelligently predicting the optimal operation parameters of each industrial environment control device; Based on the optimal operation parameters of each industrial environment control device, dynamically simulating the air flow state in the industrial workshop, and acquiring multidimensional air flow field data of different space areas in the industrial workshop; Carrying out wind field coupling analysis on multidimensional air flow field data of different space areas, identifying conflict areas in the space areas, and carrying out interference evaluation on each conflict area in sequence to obtain conflict characteristics of each conflict area; based on the conflict characteristics of each conflict area, performing global linkage optimization on the optimal operation parameters of each industrial environment control device to obtain linkage optimization parameters; and remotely controlling each industrial environment control device according to the linkage optimization parameters of each industrial environment control device. Further, the content of the intelligent prediction of the optimal operating parameters of each industrial environmental control device includes: Constructing a three-dimensional grid model of an industrial workshop, and mapping industrial environment parameters into grid cells in the three-dimensional grid model to obtain the industrial environment parameters of each grid cell; setting different digital labels for each grid unit in turn and marking the digital labels as grid labels, taking industrial environment parameters and corresponding grid labels of each grid unit as a group of environment sets, determining influence units corresponding to each industrial environment control device, taking environment sets corresponding to all influence units of each industrial environment control device as a group of influence sets, and respectively inputting each group of influence sets into a trained parameter prediction model to predict optimal operation parameters corresponding to each industrial environment control devi