CN117931575A - Terminal information digital management system based on Internet of things - Google Patents
Terminal information digital management system based on Internet of things Download PDFInfo
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Abstract
A terminal information digital management system based on the Internet of things relates to the technical field of information management, and comprises a main control center, wherein the main control center is in communication connection with a data acquisition module, a model construction module, a region division module, a data uploading module, an image generation module and a fault monitoring module; the data acquisition module is used for acquiring temperature data and pressure data; the model construction module is used for constructing a digital twin model; the region dividing module is used for obtaining a monitoring sub-region; the data uploading module is used for obtaining a temperature difference twin model and a pressure twin model; the image generation module is used for generating a temperature difference image and a pressure image of the monitoring subarea; the fault monitoring module is used for obtaining a temperature frame and a pressure frame, judging whether equipment has faults or not, and generating an alarm signal; the state of the equipment can be intuitively checked; the monitoring alarm for equipment faults can be realized by utilizing an image recognition technology.
Description
Technical Field
The invention relates to the technical field of information management, in particular to a terminal information digital management system based on the Internet of things.
Background
With the development of information technology, more and more terminals of the internet of things are applied to the industrial production process, and are used for monitoring various data generated by equipment operation and giving early warning, for example: the monitoring and early warning of the temperature and the pressure of the tank body are an increasingly important technology, the tank body is monitored in real time through the terminal of the Internet of things, and the tank body alarms in time when a problem occurs, so that the occurrence rate of safety accidents can be greatly reduced;
In the prior art, the monitoring of such devices is mostly carried out as a whole, the technology for subdividing the devices is lacking, and the data is fed back only as data after the data is acquired, so that workers cannot intuitively know the current state of the devices, if the devices are represented by colors, the problem can be solved, and the fault detection of the devices can be realized by utilizing the image recognition technology, so that the problem can be solved at one time.
Disclosure of Invention
The invention aims to provide a terminal information digital management system based on the Internet of things.
The aim of the invention can be achieved by the following technical scheme: the terminal information digital management system based on the Internet of things comprises a main control center, wherein the main control center is in communication connection with a data acquisition module, a model construction module, a region division module, a data uploading module, an image generation module and a fault monitoring module;
The data acquisition module is used for respectively acquiring and storing temperature data and pressure data of the equipment;
the model construction module is used for acquiring basic information of the equipment and constructing a digital twin model of the equipment according to the acquired basic information;
The region dividing module is used for dividing the equipment to obtain a plurality of monitoring subareas;
the data uploading module is used for respectively uploading the acquired temperature data and pressure data to the digital twin model to synchronize so as to obtain a corresponding temperature difference twin model and a corresponding pressure twin model;
The image generation module is used for generating a temperature difference image and a pressure image of each monitoring subarea according to the temperature difference twin model and the pressure twin model;
The fault monitoring module is used for obtaining a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, judging whether corresponding faults exist in the equipment according to the obtained temperature frame and the obtained pressure frame, and generating corresponding alarm signals.
Further, the process of the data acquisition module for acquiring the temperature data of the equipment comprises the following steps:
The temperature data comprise external temperature data and internal temperature data, a plurality of acquisition rings are obtained on the outer surface of the equipment according to the direction parallel to the bottom of the equipment, a plurality of external temperature acquisition units are respectively arranged on the obtained acquisition rings, and the temperature of the outer surface of the equipment is acquired through the external temperature acquisition units so as to obtain corresponding external temperature data;
The method comprises the steps of obtaining positions corresponding to external temperature acquisition units on the inner surface of equipment, marking the positions as acquisition points, respectively setting a plurality of internal temperature acquisition units on the acquisition points, and acquiring the temperature of the inner surface of the equipment through the internal temperature acquisition units to obtain corresponding internal temperature data.
Further, the process of collecting and storing the pressure data of the device by the data collecting module comprises the following steps:
The method comprises the steps that a plurality of pressure acquisition units are respectively arranged on an acquired acquisition point, the number of the pressure acquisition units is the same as that of the internal temperature acquisition units and the external temperature acquisition units, and the pressure acquisition units are used for acquiring the internal pressure of equipment to acquire corresponding pressure data;
And setting a database, and respectively uploading the acquired external temperature data, internal temperature data and pressure data to the database for storage.
Further, the model construction module collects basic information of the equipment, and the process of constructing the digital twin model of the equipment according to the collected basic information comprises the following steps:
Setting a model construction unit, and acquiring basic information of equipment through the model construction unit, wherein the basic information of the equipment comprises specification parameters, technological parameters, historical data, environmental data and maintenance data of the equipment;
And constructing a physical model of the equipment according to the obtained specification parameters and the process parameters by the model construction unit, constructing a behavior model of the equipment according to the obtained historical data, the environment data and the maintenance data, and integrating the constructed physical model and the behavior model to obtain a digital twin model of the equipment.
Further, the process of dividing the device by the area dividing module to obtain a plurality of monitoring subareas includes:
The method comprises the steps of converting the inner surface of equipment into a rectangular area, dividing the rectangular area into a plurality of rectangular subareas by adopting an equally dividing method, determining the dividing times of the rectangular area according to the actual area of the rectangular area at the moment by dividing the rectangular area into a first time of dividing results, and marking the rectangular subareas obtained after the last time of dividing as monitoring subareas, wherein the monitoring subareas are required to meet two conditions, one of the two conditions is met, all the monitoring subareas can be used for fully paving the inner surface of the whole equipment, the other of the two conditions is met, each monitoring subarea is provided with only one collecting point, and each collecting point is bound with the corresponding monitoring subarea.
Further, the process of respectively uploading the collected temperature data and the pressure data to the digital twin model by the data uploading module to synchronize to obtain the corresponding temperature difference twin model and the corresponding pressure twin model comprises the following steps:
Obtaining temperature difference data of each acquisition point according to the obtained internal temperature data and external temperature data, wherein the temperature difference data is a difference value between the internal temperature data and the external temperature data of the acquisition point, different temperature difference intervals are set for the obtained temperature difference data, the numerical values among the temperature difference intervals are the same, colors with different color temperatures are set for the different temperature difference intervals, one temperature difference interval is represented by a special color, and the larger the temperature difference data is, the higher the color temperature of the color is;
And uploading the temperature difference data of each acquisition point to a digital twin model in real time for synchronization to obtain a corresponding temperature difference twin model, rendering the monitoring subareas corresponding to each acquisition point into colors corresponding to corresponding temperature difference intervals, and obtaining the pressure twin model of the equipment according to the pressure data by adopting the same method.
Further, the process of generating the temperature difference image and the pressure image of each monitoring subarea by the image generation module according to the temperature difference twin model and the pressure twin model comprises the following steps:
Recording the color change of the monitoring subarea in the obtained temperature difference twin model, wherein different temperature difference data belong to different temperature difference intervals, and the different temperature difference intervals correspond to the colors of different color temperatures, so that the color of the obtained temperature difference twin model is always in dynamic change, and a temperature difference image of the monitoring subarea is generated on the basis of the dynamic change, and the temperature difference image is specifically a video with the color changing continuously;
And recording the color change of the monitoring subarea in the pressure twin model, generating a pressure image of the monitoring subarea, and obtaining temperature difference images and pressure images of all the monitoring subareas by adopting the same method.
Further, the fault monitoring module obtains a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, judges whether the equipment has a corresponding fault according to the obtained temperature frame and the obtained pressure frame, and generates a corresponding alarm signal, and the process comprises the following steps:
combining a plurality of monitoring subareas which are contacted with each other into a corresponding monitoring area, wherein the monitoring area is formed by the plurality of monitoring subareas, and a composite temperature difference image and a composite pressure image of the monitoring area are obtained according to the temperature difference image and the pressure image of the corresponding monitoring subareas;
taking a synthesized temperature difference image as an example, obtaining adjacent temperature frames of the monitoring area, wherein the adjacent temperature frames are two frames of temperature difference images which are connected front and back according to the change sequence of the synthesized temperature difference image, and respectively marking the two frames of temperature difference images as a front temperature frame and a rear temperature frame;
Obtaining image similarity between the adjacent temperature frames by using an MSE algorithm, obtaining the image similarity between all the adjacent temperature frames by adopting the same method, and performing change evaluation on the obtained image similarity to obtain a corresponding similarity change coefficient;
setting a similarity change threshold, comparing the obtained similarity change coefficient with the set similarity change threshold, classifying the obtained similarity change coefficient into normal change or abnormal change according to a comparison result, and marking an adjacent temperature frame with abnormal change as an abnormal node;
When abnormal nodes appear, the occurrence time of the abnormal nodes is obtained, meanwhile, temperature difference data corresponding to the abnormal nodes are obtained, the fact that the equipment has temperature difference faults in the monitoring area is judged, corresponding temperature difference alarm signals are generated, the abnormal nodes of the synthesized pressure image are obtained by adopting the same method, corresponding pressure alarm signals are obtained, the alarm signals comprise the temperature difference alarm signals and the pressure alarm signals, the obtained alarm signals are fed back to staff, and the staff further process the equipment according to the obtained alarm signals.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the universality and accuracy of data acquisition can be obviously improved by arranging a plurality of units for acquiring temperature and pressure on the equipment, the temperature difference twin model and the pressure twin model of the equipment are obtained by combining the acquired temperature and pressure, the whole equipment is divided into a plurality of sub-areas, different temperatures or pressures are rendered by different colors, and the state of the equipment can be visually checked;
2. by combining a plurality of monitoring subareas into a monitoring area and generating an image of the monitoring area according to the obtained digital twin model, the invention obtains the area with obvious distinction, namely the abnormal node, by detecting the similarity between different frames of the image, and can realize the monitoring and the alarm of equipment faults by utilizing an image recognition technology.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, the terminal information digital management system based on the internet of things comprises a main control center, wherein the main control center is in communication connection with a data acquisition module, a model construction module, a region division module, a data uploading module, an image generation module and a fault monitoring module;
The data acquisition module is used for respectively acquiring and storing temperature data and pressure data of the equipment;
the model construction module is used for acquiring basic information of the equipment and constructing a digital twin model of the equipment according to the acquired basic information;
The region dividing module is used for dividing the equipment to obtain a plurality of monitoring subareas;
the data uploading module is used for respectively uploading the acquired temperature data and pressure data to the digital twin model to synchronize so as to obtain a corresponding temperature difference twin model and a corresponding pressure twin model;
The image generation module is used for generating a temperature difference image and a pressure image of each monitoring subarea according to the temperature difference twin model and the pressure twin model;
The fault monitoring module is used for obtaining a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, judging whether corresponding faults exist in the equipment according to the obtained temperature frame and the obtained pressure frame, and generating corresponding alarm signals.
It should be further noted that, in the implementation process, the process of the data acquisition module for acquiring the temperature data of the device includes:
The temperature data comprise external temperature data and internal temperature data, wherein the external temperature data refer to the temperature of the outer surface of the equipment, the internal temperature data refer to the temperature of the inner surface of the equipment, and the external temperature data and the internal temperature data form temperature data of the equipment together;
a plurality of acquisition rings are obtained on the outer surface of the equipment according to the direction parallel to the bottom of the equipment, wherein the acquisition rings are circular ring areas surrounding the equipment for a circle, the distances between the adjacent acquisition rings are equal, and the uppermost acquisition ring and the lowermost acquisition ring are respectively positioned at the top and the bottom of the equipment;
The method comprises the steps that a plurality of external temperature acquisition units are respectively arranged on an acquired acquisition ring, the distances between adjacent external temperature acquisition units are equal, and the final arrangement result is that the external surface of the equipment is uniformly provided with the plurality of external temperature acquisition units, and the external temperature of the external surface of the equipment is acquired through the external temperature acquisition units so as to acquire corresponding external temperature data;
The method comprises the steps of obtaining positions corresponding to external temperature acquisition units on the inner surface of equipment, marking the positions as acquisition points, respectively setting a plurality of internal temperature acquisition units on the acquisition points, wherein the number of the internal temperature acquisition units is the same as that of the external temperature acquisition units, the positions are respectively corresponding to the internal temperature acquisition units, binding the internal temperature acquisition units and the external temperature acquisition units corresponding to the positions, and acquiring the temperature of the inner surface of the equipment through the internal temperature acquisition units to obtain corresponding internal temperature data.
It should be further noted that, in the implementation process, the process of collecting and storing the pressure data of the device by the data collecting module includes:
the invention monitors not only the temperature data of the equipment, but also the pressure data of the equipment, and the pressure data is acquired only by the internal pressure of the equipment, but not the external pressure thereof, unlike the acquisition of the temperature data;
The method comprises the steps that a plurality of pressure acquisition units are respectively arranged on an acquired acquisition point, the number of the pressure acquisition units is the same as that of the internal temperature acquisition units and the external temperature acquisition units, and the pressure acquisition units are used for acquiring the internal pressure of equipment to acquire corresponding pressure data;
And setting a database, and respectively uploading the acquired external temperature data, internal temperature data and pressure data to the database for storage.
It should be further noted that, in the implementation process, the model building module collects basic information of the device, and the process of building a digital twin model of the device according to the collected basic information includes:
Setting a model construction unit, acquiring basic information of equipment through the model construction unit, wherein the basic information of the equipment comprises specification parameters, technological parameters, historical data, environmental data and maintenance data of the equipment, auditing the acquired basic information of the equipment through a main control center, and uploading the basic information passing the auditing to a database for storage;
The specification parameters include, but are not limited to, the physical structure, component parts, technical specifications, etc. of the equipment, the process parameters include, but are not limited to, the speed of the pipeline, the rate of material input, the process steps, etc., the history data includes, but is not limited to, fault records, maintenance records, performance records, etc., the environment data includes, but is not limited to, temperature, humidity, gas composition, etc., and the maintenance data includes, but is not limited to, fault mode, time of occurrence, maintenance measures and results, etc.;
And constructing a physical model of the equipment according to the obtained specification parameters and the process parameters by the model construction unit, constructing a behavior model of the equipment according to the obtained historical data, the environment data and the maintenance data, and integrating the constructed physical model and the behavior model to obtain a digital twin model of the equipment.
It should be further noted that, in the implementation process, the process of dividing the device by the area dividing module to obtain the plurality of monitoring sub-areas includes:
Taking the inner surface of the equipment as an example, converting the inner surface of the equipment into a rectangular area, dividing the rectangular area into a plurality of rectangular subareas by adopting an equally dividing method, wherein the divided rectangular subareas are the first division result;
determining the dividing times of the rectangular area according to the actual area of the rectangular area, and marking the rectangular subarea obtained after the last dividing as a monitoring subarea, wherein the monitoring subarea needs to meet two conditions, one of the two conditions is that all the monitoring subareas can be paved on the inner surface of the whole equipment, the other one is that each monitoring subarea has one and only one acquisition point, and each acquisition point is bound with the corresponding monitoring subarea.
It should be further noted that, in the implementation process, the process of respectively uploading the collected temperature data and the collected pressure data to the digital twin model by the data uploading module to synchronize to obtain the corresponding temperature difference twin model and the corresponding pressure twin model includes:
Taking temperature data as an example, the temperature difference twin model is obtained as follows: obtaining temperature difference data of each acquisition point according to the obtained internal temperature data and external temperature data, wherein the temperature difference data is a difference value between the internal temperature data and the external temperature data of the acquisition point;
setting different temperature difference intervals for the obtained temperature difference data, wherein the values of the temperature difference intervals are the same, setting colors with different color temperatures for the different temperature difference intervals, wherein one temperature difference interval is represented by a special color, and the larger the temperature difference data is, the higher the color temperature is;
And uploading the temperature difference data of each acquisition point to a digital twin model in real time for synchronization to obtain a corresponding temperature difference twin model, rendering the monitoring subareas corresponding to each acquisition point into colors corresponding to corresponding temperature difference intervals, and obtaining the pressure twin model of the equipment according to the pressure data by adopting the same method.
It should be further noted that, in the implementation process, the process of generating the temperature difference image and the pressure image of each monitoring subarea by the image generation module according to the temperature difference twin model and the pressure twin model includes:
Taking any monitoring subarea as an example, recording the color change of the monitoring subarea in the obtained temperature difference twin model, wherein different temperature difference data belong to different temperature difference intervals, and the different temperature difference intervals correspond to the colors of different color temperatures, so that the color of the obtained temperature difference twin model is always in dynamic change, and a temperature difference image of the monitoring subarea is generated on the basis of the dynamic change, and the temperature difference image is specifically a video with the color changing continuously;
And recording the color change of the monitoring subarea in the pressure twin model, generating a pressure image of the monitoring subarea, and obtaining temperature difference images and pressure images of all the monitoring subareas by adopting the same method.
It should be further noted that, in the implementation process, the fault monitoring module obtains a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, and judges whether the equipment has a corresponding fault according to the obtained temperature frame and the obtained pressure frame, and the process of generating a corresponding alarm signal includes:
combining a plurality of monitoring subareas which are contacted with each other into a corresponding monitoring area, wherein the monitoring area is formed by the plurality of monitoring subareas, and a composite temperature difference image and a composite pressure image of the monitoring area are obtained according to the temperature difference image and the pressure image of the corresponding monitoring subareas;
taking a synthesized temperature difference image as an example, obtaining adjacent temperature frames of the monitoring area, wherein the adjacent temperature frames are two frames of temperature difference images which are connected front and back according to the change sequence of the synthesized temperature difference image, and respectively marking the two frames of temperature difference images as a front temperature frame and a rear temperature frame;
Obtaining image similarity between adjacent temperature frames by using an MSE algorithm, obtaining the image similarity between all the adjacent temperature frames by adopting the same method, numbering the image similarity according to a change sequence, marking the obtained image similarity as i, i=1, 2, … … and n, marking the obtained image similarity as S i, performing change evaluation on the obtained image similarity to obtain a corresponding similarity change coefficient, and marking the obtained similarity change coefficient as C i;
setting a similarity change threshold C 0, comparing the obtained similarity change coefficient with the set similarity change threshold, classifying the obtained similarity change coefficient into normal change or abnormal change according to a comparison result, if C i≤C0, marking the similarity change coefficient as normal change, not performing any other operation on the similarity change coefficient, if C i＞C0, marking the similarity change coefficient as abnormal change, and marking a corresponding adjacent temperature frame as an abnormal node;
When abnormal nodes appear, the occurrence time of the abnormal nodes is obtained, meanwhile, temperature difference data corresponding to the abnormal nodes are obtained, the fact that the equipment has temperature difference faults in the monitoring area is judged, corresponding temperature difference alarm signals are generated, the abnormal nodes of the synthesized pressure image are obtained by adopting the same method, corresponding pressure alarm signals are obtained, the alarm signals comprise the temperature difference alarm signals and the pressure alarm signals, the obtained alarm signals are fed back to staff, and the staff further process the equipment according to the obtained alarm signals.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. The terminal information digital management system based on the Internet of things comprises a main control center and is characterized in that the main control center is in communication connection with a data acquisition module, a model construction module, a region division module, a data uploading module, an image generation module and a fault monitoring module;
The data acquisition module is used for respectively acquiring and storing temperature data and pressure data of the equipment;
the model construction module is used for acquiring basic information of the equipment and constructing a digital twin model of the equipment according to the acquired basic information;
The region dividing module is used for dividing the equipment to obtain a plurality of monitoring subareas;
the data uploading module is used for respectively uploading the acquired temperature data and pressure data to the digital twin model to synchronize so as to obtain a corresponding temperature difference twin model and a corresponding pressure twin model;
The image generation module is used for generating a temperature difference image and a pressure image of each monitoring subarea according to the temperature difference twin model and the pressure twin model;
The fault monitoring module is used for obtaining a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, judging whether corresponding faults exist in the equipment according to the obtained temperature frame and the obtained pressure frame, and generating corresponding alarm signals.
2. The terminal information digital management system based on the internet of things according to claim 1, wherein the process of the data acquisition module for acquiring the temperature data of the device comprises the following steps:
The temperature data comprises external temperature data and internal temperature data, acquisition rings are obtained on the outer surface of the equipment, a plurality of external temperature acquisition units are respectively arranged on the acquisition rings, and the temperature of the outer surface of the equipment is acquired by the external temperature acquisition units to obtain corresponding external temperature data;
Acquiring acquisition points on the inner surface of the equipment, respectively arranging a plurality of internal temperature acquisition units on the acquisition points, and acquiring the temperature of the inner surface of the equipment through the internal temperature acquisition units so as to acquire corresponding internal temperature data.
3. The terminal information digital management system based on the internet of things according to claim 2, wherein the process of collecting and storing the pressure data of the device by the data collecting module comprises the following steps:
Respectively arranging a plurality of pressure acquisition units on the acquired acquisition points, and acquiring the internal pressure of the equipment through the pressure acquisition units to acquire corresponding pressure data;
And setting a database, and respectively uploading the acquired external temperature data, internal temperature data and pressure data to the database for storage.
4. The terminal information digital management system based on the internet of things according to claim 3, wherein the model construction module collects basic information of the device, and the process of constructing a digital twin model of the device according to the collected basic information comprises:
Setting a model construction unit, and acquiring basic information of equipment through the model construction unit, wherein the basic information of the equipment comprises specification parameters, technological parameters, historical data, environmental data and maintenance data of the equipment;
And constructing a physical model of the equipment according to the obtained specification parameters and the process parameters, constructing a behavior model of the equipment according to the obtained historical data, the environment data and the maintenance data, and integrating the constructed physical model and the behavior model to obtain a digital twin model of the equipment.
5. The terminal information digital management system based on the internet of things according to claim 4, wherein the process of dividing the device by the area dividing module to obtain the plurality of monitoring subareas comprises:
The method comprises the steps of converting the inner surface of equipment into a rectangular area, dividing the rectangular area into a plurality of rectangular subareas by adopting an equally dividing method, determining the dividing times of the rectangular area according to the actual area of the rectangular area, and marking the rectangular subarea obtained after the last dividing as a monitoring subarea.
6. The terminal information digital management system based on the internet of things according to claim 5, wherein the process of uploading the collected temperature data and the collected pressure data to the digital twin model to synchronize to obtain the corresponding temperature difference twin model and the corresponding pressure twin model by the data uploading module comprises:
Obtaining temperature difference data of each acquisition point according to the internal temperature data and the external temperature data, setting different temperature difference intervals for the temperature difference data, and setting colors with different color temperatures for the different temperature difference intervals;
And uploading the temperature difference data of the acquisition points to a digital twin model for synchronization to obtain a corresponding temperature difference twin model, rendering the monitoring subareas corresponding to the acquisition points into colors corresponding to the temperature difference intervals, and obtaining the pressure twin model of the equipment according to the pressure data by adopting the same method.
7. The terminal information digital management system based on the internet of things according to claim 6, wherein the process of generating the temperature difference image and the pressure image of each monitoring subarea by the image generation module according to the temperature difference twin model and the pressure twin model comprises:
recording the color change of the monitoring subarea in a temperature difference twin model, wherein the color of the obtained temperature difference twin model is always in dynamic change, and generating a temperature difference image of the monitoring subarea, wherein the temperature difference image is a video with continuously changing color;
And recording the color change of the monitoring subarea in the pressure twin model, and generating a pressure image of the monitoring subarea.
8. The terminal information digital management system based on the internet of things according to claim 7, wherein the fault monitoring module obtains a temperature frame and a pressure frame according to the obtained temperature difference image and the obtained pressure image, judges whether the equipment has a corresponding fault according to the obtained temperature frame and the obtained pressure frame, and generates a corresponding alarm signal, and the process comprises the following steps:
combining a plurality of monitoring subareas which are contacted with each other into corresponding monitoring areas to obtain a composite temperature difference image and a composite pressure image of the monitoring areas;
Obtaining adjacent temperature frames of a monitoring area according to the synthesized temperature difference image, obtaining image similarity between all adjacent temperature frames by using an MSE algorithm, and performing change evaluation on the obtained image similarity to obtain a corresponding similarity change coefficient;
Setting a similarity change threshold, comparing a similarity change coefficient with the similarity change threshold, classifying the similarity change coefficient into normal change or abnormal change according to a comparison result, and marking adjacent temperature frames with abnormal change as abnormal nodes;
When abnormal nodes appear, the occurrence time of the abnormal nodes and temperature difference data corresponding to the abnormal nodes are obtained, temperature difference alarm signals are generated, the abnormal nodes of the synthesized pressure image are obtained by adopting the same method, the pressure alarm signals are obtained, the obtained two alarm signals are fed back to staff, and the staff further process the equipment according to the obtained alarm signals.
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| CN116822159A (en) * | 2023-06-06 | 2023-09-29 | 郑州轻工业大学 | Digital twin workshop rapid modeling method for dynamic and static fusion of man-machine environment |
| CN116540551A (en) * | 2023-06-20 | 2023-08-04 | 北京瑞思博创科技有限公司 | Energy consumption optimized coupling control method for digital twin chilled water system of data center |
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