CN115760073A - Transformer substation equipment maintenance system and method based on BIM model - Google Patents
Transformer substation equipment maintenance system and method based on BIM model Download PDFInfo
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- CN115760073A CN115760073A CN202211533683.8A CN202211533683A CN115760073A CN 115760073 A CN115760073 A CN 115760073A CN 202211533683 A CN202211533683 A CN 202211533683A CN 115760073 A CN115760073 A CN 115760073A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to a substation equipment maintenance system and method based on a BIM (building information modeling). The method comprises the following steps: the system comprises an acquisition device, an edge system and a cloud system, wherein the acquisition device is in communication connection with the edge system, and the edge system is in communication connection with the cloud system; the acquisition device is used for acquiring basic information data and working state data of the power equipment and transmitting the acquired equipment data to the side system; the side system comprises a BIM model building module and a monitoring data uploading module. According to the invention, the side system and the operation system are arranged, data acquisition is carried out on the transformer substation equipment, the BIM model and the equipment fault prediction model are established, the transformer substation equipment is monitored, if fault risks occur, workers are informed to maintain in time, different grades of each equipment are monitored according to maintenance results, the working efficiency of equipment maintenance is improved, and the maintenance cost is reduced.
Description
Technical Field
The invention relates to the technical field of substation equipment maintenance, in particular to a substation equipment maintenance system and method based on a BIM (building information modeling).
Background
The BIM building information model is a brand-new building design, construction and management method, can show the whole life cycle of a project by a three-dimensional model, can access various static data and dynamic data into the model, and can visually manage and analyze the operation and maintenance of buildings and equipment in the whole life cycle through the collection and analysis of the data.
In order to ensure the normal operation of an electric power system, the maintenance and point inspection work of the power transformation equipment must be fully paid attention to, which means that the maintenance of daily work is well done for the power transformation operation equipment of a transformer substation, and technicians are required to be dispatched periodically to carry out point-by-point inspection, and the main purpose of the equipment inspection work is to ensure that the power transformation equipment does not have abnormal operation phenomenon, so that the generation of equipment operation accidents is efficiently avoided, and the loss is reduced to the maximum extent.
At present firstly, artifical inspection work load is big, secondly behind the equipment use sensor, whether the staff is unusual to the observation back of detection need independently judge equipment, however a large amount of detected data are owing to lack the integration, and data dispersion and lack the continuity, and the managers hardly obtains useful information therefrom, can't the efficient maintains equipment.
Disclosure of Invention
The invention aims to provide a substation equipment maintenance system and method based on a BIM model, and the system and method are used for solving the technical problems that firstly, manual inspection workload is large, secondly, after equipment uses a sensor, whether the equipment is abnormal or not needs to be automatically judged by a worker after the observation of detection, however, due to the lack of integration of a large amount of detection data, the data is scattered and lack of continuity, a manager is difficult to obtain useful information from the detection data, and the equipment cannot be efficiently maintained.
In order to achieve the purpose, the technical scheme of the invention is as follows: a transformer substation equipment maintenance system based on a BIM model comprises: the system comprises an acquisition device, a side system and a cloud system, wherein the acquisition device is in communication connection with the side system, and the side system is in communication connection with the cloud system;
the acquisition device is used for acquiring basic information data and working state data of the power equipment and transmitting the acquired equipment data to the side system;
the side system comprises a BIM model building module and a monitoring data uploading module, wherein the BIM model building module is used for building a BIM model according to basic information data of the power equipment; the monitoring data uploading module is used for uploading the working state data of the power equipment to the cloud system;
the cloud system comprises an equipment fault prediction model establishing module, a fault prediction risk analyzing module and a risk information output module, wherein the equipment fault prediction model module is used for training and generating an equipment fault prediction model according to the working state data and the historical equipment fault data of the power equipment; the fault prediction risk analysis module is used for predicting through an equipment fault prediction model according to the working state data of each piece of electrical equipment currently uploaded by the side system and generating the risk of the electrical equipment in the current time period of failure; the risk information output module is used for transmitting the risk information of the electrical equipment with faults to the side system;
the side system also comprises an equipment maintenance task module, an equipment fault evaluation module and an equipment monitoring module, wherein the equipment maintenance task module is used for extracting equipment exclusive information with fault risk according to the risk information of the electrical equipment with fault through a BIM (building information modeling) model and issuing maintenance tasks to corresponding configuration personnel through the equipment exclusive information; the equipment fault evaluation module is used for carrying out fault evaluation on equipment with fault risks by a configuration worker according to the end of a maintenance task and finally transmitting an evaluation result to the side system; the equipment monitoring module is used for setting different monitoring grades for the electrical equipment according to the evaluation result and using different monitoring frequencies for the working state data of the electrical equipment with different monitoring grades.
In an embodiment of the present invention, the device-specific information includes device model information, location information, and configuration staff information.
In an embodiment of the present invention, the failure prediction risk analysis module includes a first risk unit, a second risk unit, and a third risk unit;
the first risk unit generates non-notification risk information according to the fact that the risk value of the electrical equipment with faults is smaller than a first threshold value;
the second risk unit generates notification risk information according to the fact that the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value;
and the third risk unit generates a notice and closes equipment risk information according to the fact that the risk value of the electrical equipment with the fault is greater than a second threshold value.
In an embodiment of the present invention, the device monitoring module includes a general device monitoring unit and a key device monitoring unit;
the general equipment monitoring unit is used as a general monitoring object according to the condition that no fault information exists in the historical fault information of the equipment;
and the key equipment monitoring unit is used as a key monitoring object according to the fault information in the historical fault information of the equipment.
In an embodiment of the present invention, the device failure evaluation module checks a device with a failure risk in the maintenance task according to a configuration staff, and if the configuration staff checks that the device with the failure risk does have a failure, the device failure evaluation module generates failure evaluation information, and if the configuration staff checks that the device with the failure risk does not have a failure, the device failure evaluation module generates no failure evaluation information.
The invention also provides a substation equipment maintenance method based on the BIM model, which comprises the following steps:
s1, acquiring basic information data and working state data of electric power equipment, and transmitting the acquired equipment data to a side system;
s2, building a BIM (building information modeling) model according to the basic information data of the power equipment, and uploading the working state data of the power equipment to the cloud system;
s3, training and generating an equipment fault prediction model according to the working state data of the power equipment and the historical equipment fault data, predicting through the equipment fault prediction model according to the working state data of each piece of electrical equipment uploaded by the side system at present, generating the risk of the electrical equipment having faults in the current time period, and transmitting the risk information of the electrical equipment having faults to the side system;
s4, extracting equipment exclusive information with fault risk through a BIM (building information modeling) according to the risk information of the electrical equipment with fault, and issuing maintenance tasks to corresponding configuration personnel through the equipment exclusive information;
and S5, carrying out fault evaluation on the equipment with the fault risk according to the end of the maintenance task by a configuration worker, finally transmitting an evaluation result to a side system, setting different monitoring grades for the electrical equipment according to the evaluation result, and using different monitoring frequencies for the working state data of the electrical equipment with different monitoring grades.
In an embodiment of the present invention, in step S3, if the risk value of the electrical device that has a fault is smaller than a first threshold, no-notification risk information is generated; if the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value, notification risk information is generated; and generating a notice and closing equipment risk information according to the fact that the risk value of the electrical equipment with the fault is larger than a second threshold value.
In an embodiment of the present invention, the step S5 of establishing different monitoring levels for the electrical device according to the evaluation result is based on that no fault information exists in the historical fault information of the device, and the monitoring level is regarded as a general monitoring object; and according to the fault information in the historical fault information of the equipment, taking the fault information as a key monitoring object.
Compared with the prior art, the invention has the following beneficial effects: the embodiment of the application is through setting up limit system and fortune system, carry out data acquisition and establish BIM model and equipment failure prediction model to substation equipment, monitor substation equipment, go to maintaining before in time informing the staff if the trouble risk appears, thereby monitor each equipment different grade according to the maintenance result, it is big to solve present substation equipment maintenance first manual inspection work volume, second equipment uses behind the sensor, whether the staff is unusual to the observation back of detection need independently judge equipment, however a large amount of detected data are owing to lack the integration, data dispersion and lack the coherence, managers hardly obtains useful information therefrom, the unable efficient carries out the technical problem of maintaining to equipment.
Drawings
Fig. 1 is a structural block diagram of a substation equipment maintenance system based on a BIM model according to an embodiment of the present application.
Fig. 2 is a block diagram of a cloud system according to an embodiment of the present disclosure.
Fig. 3 is a block diagram of a cloud system according to an embodiment of the present disclosure.
Fig. 4 is a schematic flowchart of a substation equipment maintenance method based on a BIM model according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-4, the present application provides a substation equipment maintenance system and method based on a BIM model, through setting a side system and a transportation system, data acquisition is performed on substation equipment, a BIM model and an equipment failure prediction model are established, the substation equipment is monitored, if a failure risk occurs, a worker is timely notified to maintain, and different levels of each equipment are monitored according to a maintenance result, so that the technical problems that the current substation equipment maintenance is large in manual inspection workload, and after the equipment uses a sensor, the worker needs to autonomously judge whether the equipment is abnormal or not after observation of detection, however, a large amount of detection data is lack of integration, data is dispersed and lack of coherence, a manager hardly obtains useful information therefrom, and the equipment cannot be efficiently maintained are solved, specifically:
as shown in fig. 1 to 3, the present application provides a substation equipment maintenance system based on a BIM model, including:
the system comprises an acquisition device, a side system and a cloud system, wherein the acquisition device is in communication connection with the side system, and the side system is in communication connection with the cloud system;
the acquisition device is used for acquiring basic information data and working state data of the power equipment and transmitting the acquired equipment data to the side system;
the side system comprises a BIM model building module and a monitoring data uploading module, wherein the BIM model building module is used for building a BIM model according to basic information data of the power equipment, and the monitoring data uploading module is used for uploading working state data of the power equipment to the cloud system;
the cloud system comprises an equipment fault prediction model establishing module, a fault prediction risk analyzing module and a risk information outputting module, wherein the equipment fault prediction model module is used for training and generating an equipment fault prediction model according to the working state data of the power equipment and the historical equipment fault data, the fault prediction risk analyzing module is used for predicting through the equipment fault prediction model according to the working state data of each piece of electrical equipment uploaded by the side system at present and generating the risk of the electrical equipment having faults in the current time period, and the risk information outputting module is used for transmitting the risk information of the electrical equipment having faults to the side system;
the side system further comprises an equipment maintenance task module, an equipment fault evaluation module and an equipment monitoring module, wherein the equipment maintenance task module is used for extracting equipment exclusive information with fault risks according to the risk information that the electrical equipment has faults and through a BIM (building information modeling) model, issuing maintenance tasks to corresponding configuration personnel through the information, the equipment fault evaluation module is used for performing fault evaluation on the equipment with the fault risks according to the end of the maintenance tasks by the configuration personnel, and finally transmitting evaluation results to the side system, and the equipment monitoring module is used for setting different monitoring levels for the electrical equipment according to the evaluation results and using different monitoring frequencies for the working state data of the electrical equipment with the different monitoring levels.
Specifically, the BIM model is a brand-new building design, construction and management method, can show the whole life cycle of a project by a three-dimensional model, can access various static data and dynamic data into the model, and can visually manage and analyze the operation and maintenance of buildings and equipment in the whole life cycle through the collection and analysis of the data.
In this embodiment, the device-specific information includes device model information, location information, and configuration staff information.
Specifically, the model of equipment is convenient for the staff and can checks the model when maintaining the inspection, and every equipment all has independent unique model, appears the false retrieval when preventing to maintain the inspection, and the position of equipment can be fixed a position the specific position of this equipment in the transformer substation fast, and the configuration personnel are the exclusive maintenance inspection personnel that this equipment was equipped with.
In this embodiment, the failure prediction risk analysis module includes a first risk unit, a second risk unit, and a third risk unit;
the first risk unit generates non-notification risk information according to the fact that the risk value of the electrical equipment with the fault is smaller than a first threshold value;
the second risk unit generates notification risk information according to the fact that the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value;
and the third risk unit generates a notice and closes equipment risk information according to the fact that the risk value of the electrical equipment with the fault is greater than a second threshold value.
Specifically, the method includes the steps that prediction is carried out in a model according to the running state data of the electrical equipment within a current period of time, and when the risk value of the electrical equipment with faults is smaller than a first threshold value, no-notification risk information is generated; if the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value, generating notification risk information; and if the risk value of the electrical equipment with the fault is greater than the second threshold value, generating a notice and closing the equipment risk information, not sending the notice risk information, and sending the notice risk information and the notice and closing the equipment risk information.
In this embodiment, the device monitoring module includes a general device monitoring unit and a key device monitoring unit;
the general equipment monitoring unit is used as a general monitoring object according to the fact that no fault information exists in the historical fault information of the equipment;
and the key equipment monitoring unit is used as a key monitoring object according to the fault information in the historical fault information of the equipment.
Specifically, in all the electrical devices of the substation, if a device fails, the device is regarded as a major monitoring object, and if the device does not fail, the device is regarded as a general monitoring object, and the monitoring frequency of the device incorporated in the major monitoring object is higher than that of the electrical device incorporated in the general monitoring object.
In this embodiment, the device failure evaluation module checks a device with a failure risk in the maintenance task according to a configuration person, and if the configuration person checks that the device with the failure risk does have a failure, the device failure evaluation module generates failure evaluation information, and if the configuration person checks that the device with the failure risk does not have a failure, the device failure evaluation module generates no failure evaluation information.
Specifically, the fault prediction risk of each piece of electrical equipment is known through monitoring in all electrical equipment in the transformer substation, and when the electrical equipment monitoring data is normal, this electrical equipment is the equipment that does not have a fault, when the electrical equipment monitoring data is abnormal, when not discovering this equipment trouble when going forward to the maintenance inspection through the staff, then electrical equipment is the equipment that does not have a fault, when going forward to the maintenance inspection through the staff and discovering this equipment trouble, then electrical equipment is the faulty equipment.
As shown in fig. 4, the invention also discloses a substation equipment maintenance system and method based on the BIM model, which specifically includes the following steps:
s1, acquiring basic information data and working state data of electric power equipment, and transmitting the acquired equipment data to a side system;
s2, building a BIM (building information modeling) model according to the basic information data of the power equipment, and uploading the working state data of the power equipment to the cloud system;
s3, training and generating an equipment fault prediction model according to the working state data of the power equipment and the historical equipment fault data, predicting through the equipment fault prediction model according to the working state data of each piece of electrical equipment currently uploaded by the side system, generating the fault risk of the electrical equipment in the current time period, and transmitting the fault risk information of the electrical equipment to the side system;
s4, extracting equipment exclusive information with fault risks through a BIM (building information modeling) according to the risk information of the electrical equipment with faults, and issuing maintenance tasks to corresponding configuration personnel through the information;
and S5, carrying out fault evaluation on the equipment with the fault risk according to the end of the maintenance task by a configuration worker, finally transmitting an evaluation result to a side system, setting different monitoring grades for the electrical equipment according to the evaluation result, and using different monitoring frequencies for the working state data of the electrical equipment with different monitoring grades.
In this embodiment, in step S3, if the risk value of the electrical device failing is smaller than the first threshold, generating non-notification risk information; if the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value, notification risk information is generated; and generating a notice and closing equipment risk information according to the fact that the risk value of the electrical equipment with the fault is larger than a second threshold value.
Specifically, the method includes the steps that prediction is carried out in a model according to the running state data of the electrical equipment within a current period of time, and when the risk value of the electrical equipment with faults is smaller than a first threshold value, non-notification risk information is generated; if the risk value of the electrical equipment with the fault is greater than a first threshold value and less than a second threshold value, generating notification risk information; and if the risk value of the electrical equipment with faults is larger than the second threshold value, generating a notice and closing equipment risk information, not notifying that the risk information is not sent, and sending the notice risk information and the notice and closing equipment risk information.
In this embodiment, the step S5 of establishing different monitoring levels for the electrical device according to the evaluation result is to determine that there is no fault information in the historical fault information of the device, and then the device is regarded as a general monitoring object; and according to the fault information in the historical fault information of the equipment, taking the fault information as a key monitoring object.
Specifically, in all the electrical devices of the substation, if a device fails, the device is regarded as a major monitoring object, and if the device does not fail, the device is regarded as a general monitoring object, and the monitoring frequency of the device incorporated in the major monitoring object is higher than that of the electrical device incorporated in the general monitoring object.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. A transformer substation equipment maintenance system based on a BIM model is characterized by comprising: the system comprises an acquisition device, an edge system and a cloud system, wherein the acquisition device is in communication connection with the edge system, and the edge system is in communication connection with the cloud system;
the acquisition device is used for acquiring basic information data and working state data of the power equipment and transmitting the acquired equipment data to the side system;
the side system comprises a BIM model building module and a monitoring data uploading module, wherein the BIM model building module is used for building a BIM model according to basic information data of the power equipment; the monitoring data uploading module is used for uploading the working state data of the power equipment to the cloud system;
the cloud system comprises an equipment fault prediction model establishing module, a fault prediction risk analysis module and a risk information output module, wherein the equipment fault prediction model module is used for training and generating an equipment fault prediction model according to the working state data of the power equipment and the historical equipment fault data; the fault prediction risk analysis module is used for predicting through an equipment fault prediction model according to the working state data of each piece of electrical equipment currently uploaded by the side system and generating the risk of the electrical equipment in the current time period of failure; the risk information output module is used for transmitting the risk information of the electrical equipment with faults to the side system;
the side system also comprises an equipment maintenance task module, an equipment fault evaluation module and an equipment monitoring module, wherein the equipment maintenance task module is used for extracting equipment exclusive information with fault risk according to the risk information of the electrical equipment with fault through a BIM (building information modeling) model and issuing maintenance tasks to corresponding configuration personnel through the equipment exclusive information; the equipment fault evaluation module is used for performing fault evaluation on equipment with fault risk by configuration personnel according to the end of a maintenance task and finally transmitting an evaluation result to the side system; the equipment monitoring module is used for setting different monitoring grades for the electrical equipment according to the evaluation result and using different monitoring frequencies for the working state data of the electrical equipment with different monitoring grades.
2. The BIM-model-based substation equipment maintenance system of claim 1, wherein the equipment-specific information comprises equipment model information, location information, and configuration personnel information.
3. The BIM model-based substation equipment maintenance system according to claim 1, wherein the failure prediction risk analysis module comprises a first risk unit, a second risk unit, and a third risk unit;
the first risk unit generates non-notification risk information according to the fact that the risk value of the electrical equipment with faults is smaller than a first threshold value;
the second risk unit generates notification risk information according to the fact that the risk value of the electrical equipment with the fault is larger than a first threshold value and smaller than a second threshold value;
and the third risk unit generates a notice and closes equipment risk information according to the fact that the risk value of the electrical equipment with the fault is greater than a second threshold value.
4. The BIM-model-based substation equipment maintenance system according to claim 1, wherein the equipment monitoring module comprises a general equipment monitoring unit and a key equipment monitoring unit;
the general equipment monitoring unit is used as a general monitoring object according to the condition that no fault information exists in the historical fault information of the equipment;
and the key equipment monitoring unit is used as a key monitoring object according to the fault information in the historical fault information of the equipment.
5. The BIM-based substation equipment maintenance system according to claim 1, wherein the equipment failure evaluation module checks equipment with failure risk in the maintenance task according to a configuration person, and generates failure evaluation information if the configuration person checks that the equipment with failure risk does have failure, and generates no failure evaluation information if the configuration person checks that the equipment with failure risk does not have failure.
6. A transformer substation equipment maintenance method based on a BIM model is characterized by comprising the following steps:
s1, acquiring basic information data and working state data of electric power equipment, and transmitting the acquired equipment data to a side system;
s2, building a BIM (building information modeling) model according to the basic information data of the power equipment, and uploading the working state data of the power equipment to the cloud system;
s3, training and generating an equipment fault prediction model according to the working state data of the power equipment and the historical equipment fault data, predicting through the equipment fault prediction model according to the working state data of each piece of electrical equipment uploaded by the side system at present, generating the risk of the electrical equipment having faults in the current time period, and transmitting the risk information of the electrical equipment having faults to the side system;
s4, extracting equipment exclusive information with fault risks through a BIM (building information modeling) according to the risk information of the electrical equipment with faults, and issuing maintenance tasks to corresponding configuration personnel through the equipment exclusive information;
and S5, carrying out fault evaluation on the equipment with the fault risk according to the end of the maintenance task by a configuration worker, finally transmitting an evaluation result to a side system, setting different monitoring grades for the electrical equipment according to the evaluation result, and using different monitoring frequencies for the working state data of the electrical equipment with different monitoring grades.
7. The BIM-model-based substation equipment maintenance method according to claim 6, wherein in the step S3, the risk information is generated according to the fact that the risk value of the electrical equipment is smaller than a first threshold value when the electrical equipment fails; if the risk value of the electrical equipment with faults is larger than a first threshold value and smaller than a second threshold value, notification risk information is generated; and generating a notice and closing equipment risk information according to the fact that the risk value of the electrical equipment with the fault is larger than a second threshold value.
8. The BIM-model-based substation equipment maintenance method according to claim 6, wherein the step S5 of establishing different monitoring levels for the electrical equipment according to the evaluation result is performed according to no fault information in the historical fault information of the equipment, and the monitoring level is taken as a general monitoring object; and according to the fault information in the historical fault information of the equipment, taking the fault information as a key monitoring object.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205636A (en) * | 2023-05-04 | 2023-06-02 | 天津三号线轨道交通运营有限公司 | Subway facility maintenance management method and system based on Internet of things technology |
| CN116502896A (en) * | 2023-06-25 | 2023-07-28 | 苏禹水务科技(南京)有限公司 | Pump station intelligent control method and system based on BIM+GIS technology |
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- 2022-12-02 CN CN202211533683.8A patent/CN115760073A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205636A (en) * | 2023-05-04 | 2023-06-02 | 天津三号线轨道交通运营有限公司 | Subway facility maintenance management method and system based on Internet of things technology |
| CN116205636B (en) * | 2023-05-04 | 2023-07-18 | 天津三号线轨道交通运营有限公司 | Subway facility maintenance management method and system based on Internet of things technology |
| CN116502896A (en) * | 2023-06-25 | 2023-07-28 | 苏禹水务科技(南京)有限公司 | Pump station intelligent control method and system based on BIM+GIS technology |
| CN116502896B (en) * | 2023-06-25 | 2023-09-19 | 苏禹水务科技(南京)有限公司 | Pump station intelligent control method and system based on BIM+GIS technology |
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