CN117967524B - Multi-data fusion fan health monitoring method based on Internet of things - Google Patents
Multi-data fusion fan health monitoring method based on Internet of things Download PDFInfo
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Abstract
The invention provides a fan health monitoring method based on multi-data fusion of the Internet of things, which comprises the following steps: acquiring an index of monitoring healthy operation of the fan, determining the type of equipment monitored by the corresponding index according to the index, and arranging the equipment at the position of a monitored object corresponding to the fan; when a certain one or a plurality of devices acquire a request for acquiring the index, transmitting a digital signal and an identity of the content of the acquired index to the terminal of the Internet of things; judging the transmission range of the transmission characteristic parameters of the terminal of the Internet of things, and transmitting the data packet of the digital signal and the identity mark to a cloud server; the cloud server receives the data packet, and analyzes the data packet in real time to obtain the health state of the current fan and obtain an analysis result; and sending the analysis result to an operator, and simultaneously giving a regulation suggestion. The invention realizes real-time monitoring and analysis of the healthy operation of the fan so as to improve the reliability, safety and efficiency of fan equipment.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a fan health monitoring method based on multi-data fusion of the Internet of things.
Background
Fan health monitoring refers to real-time monitoring and analysis of fan equipment to evaluate its operational status and performance and to discover and solve potential problems in time. Through fan health monitoring, can improve reliability, security and the efficiency of fan equipment, reduce down time and cost of maintenance. The following are some key aspects of fan health monitoring: vibration monitoring: by installing equipment such as a vibration sensor, the vibration condition of the fan is monitored in real time. Abnormal vibration can indicate possible faults or unbalance problems, and timely measures are taken for maintenance and adjustment. And (3) temperature monitoring: the temperature of the fan is monitored in real time through equipment such as a temperature sensor. Abnormal temperature changes may be caused by faults, friction or overload, and timely monitoring can prevent equipment damage and safety accidents. Pressure monitoring: the inlet and outlet pressure of the fan is monitored, so that the performance and the flow of the fan can be evaluated. Abnormal pressure changes may be caused by blockages, leaks, or other problems, and timely monitoring may indicate a problem and take corresponding maintenance action. Current monitoring: the current change of the fan is monitored in real time through devices such as a current sensor. Abnormal current fluctuations may indicate motor faults, power supply problems, or circuit faults, and timely monitoring may prevent equipment damage and electrical accidents. Data analysis and alarm: by analyzing and processing the real-time monitoring data, potential faults and problems are identified, and an alarm is timely given. This can help the service personnel respond quickly and take appropriate repair and maintenance measures to ensure reliable operation of the fan apparatus. However, the existing fan monitoring technology has single parameter acquisition, cannot comprehensively and accurately reflect the health state of the fan, and has poor real-time performance and flexibility of a transmission mode of acquired parameters, thereby influencing the efficiency of parameter analysis.
First, application number: 202210803915.0 discloses a fan blade health monitoring system, including wind turbine generator system and wisdom blade wind field management system, be equipped with aerogenerator in the wind turbine generator system, aerogenerator includes fan blade, fan tower section of thick bamboo and wheel hub, concretely relates to fan blade health monitoring technical field. According to the fan blade health monitoring system, a wind turbine generator, a server and a wind farm ring network system are networked, the running state of a fan is detected by utilizing a blade strain monitoring module, a vibration monitoring module and a blade noise monitoring module, then the wind farm ring network system is controlled through a system user background to control a wind turbine generator, and manual correction processing operation is made according to blade information and fault diagnosis monitored by the blade strain monitoring module, the vibration monitoring module and the blade noise monitoring module, so that the wind turbine generator can be helped to correctly, timely and effectively recover the normal state, and the normal operation of each wind turbine generator in a wind farm is ensured; but only the monitoring of the fan blade is realized, and the running state of the fan cannot be reflected.
Second prior art, application number: 201911293028.8 discloses a fan health state monitoring method based on Bayesian data driving, which specifically comprises the following steps: labeling wind turbine health status information based on SCADA data; the algorithm is improved by adopting a bin method, a method based on multivariate normal distribution and a Copula method, and the improved algorithm is applied to fan abnormal state diagnosis; determining corresponding parameters for establishing a wind power generator abnormal state diagnosis model according to the importance degree of the influence on the health state of the wind turbine; and regularly re-fitting the diagnosis model, and optimizing the fan abnormal state diagnosis model. While introducing a Bayesian framework, in the development of the Bayesian framework based on SCADA data, three types of Bayesian classification models are developed by using a bin method, a multielement normal based method and a Copula based method, so that the online rate of a wind power plant is maximized and the safe and efficient operation of a fan is ensured; however, the description of the data transmission mode results in a low monitoring efficiency.
Third, application number: 202210021003.8 discloses a fan self-learning health monitoring system based on RRAM, which comprises a measuring module U1, a signal processing module U2, a neural network module U3 and a fan health management center U4 which are connected in sequence. Although the pre-judging of the fan to the self health condition can be realized according to the data condition of the fan in the past healthy operation, and the health condition of the fan part can be judged rapidly and accurately; but its structure is comparatively simple, can not realize the monitoring of full state to the fan, leads to the monitoring result precision lower.
The problems of single monitored data, poor real-time property and flexibility of a transmission mode and inaccurate monitoring result exist in the prior art I, the prior art II and the prior art III at present, so that the invention provides the fan health monitoring method based on the multi-data fusion of the Internet of things, the sensor can monitor parameters such as temperature, vibration, rotating speed and the like of a fan in real time, and the data is transmitted to a cloud for real-time analysis through the Internet of things; through predictive maintenance, the faults and damage of the fan can be detected in advance, and the operation efficiency and reliability are improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides a fan health monitoring method based on multi-data fusion of the Internet of things, which comprises the following steps:
Acquiring an index of monitoring healthy operation of the fan, determining the type of equipment monitored by the corresponding index according to the index, and arranging the equipment at the position of a monitored object corresponding to the fan;
the method comprises the steps that equipment is defined as an upper node, a cloud server is used as a lower node, the transmission range of transmission characteristic parameters of an Internet of things terminal is judged, and a data packet of a digital signal and an identity mark is transmitted to the cloud server;
the cloud server receives the data packet, and analyzes the data packet in real time to obtain the health state of the current fan and obtain an analysis result; and sending the analysis result to an operator, and simultaneously giving a regulation suggestion.
Optionally, the index includes: temperature, vibration and rotation speed parameters of the fan.
Optionally, the process of determining the device type corresponding to the index monitoring according to the index includes the following steps:
Analyzing the attribute information of all contents of the specific indexes to obtain analysis results of a plurality of indexes, obtaining attribute information corresponding to the indexes from the analysis results, and screening the attribute information to obtain target information capable of representing the equipment type;
Dividing attribute information according to target information to obtain a plurality of attribute information sets, endowing attribute information with an index instruction, searching equipment types from a database according to the index instruction to obtain an equipment type list, and taking the equipment arranged at the first position as equipment corresponding to the current index content through a preset equipment selection sequence;
searching the device types corresponding to other attribute information according to the index instruction to obtain final devices, and labeling the identity of all the devices according to different target information after all the attribute information is searched.
Optionally, when a request for acquiring the index is acquired by one or more devices, the digital signal and the identity of the content of the acquired index are transmitted to the terminal of the internet of things.
Optionally, the process of transmitting the digital signal and the identity of the collected content of the index to the terminal of the internet of things includes the following steps:
the method comprises the steps that a request for acquiring indexes is preset according to different equipment types, different service identifiers are adopted for different requests, and the service identifiers correspond to the equipment types; determining an index to be acquired according to the service identifier and the equipment type, and sending a request to corresponding equipment according to the equipment type;
caching the currently acquired digital signals and the historical digital signals before the current acquisition according to the request equipment, and respectively packaging the digital signals according to the identity of the current equipment to obtain packaged digital signals;
And transmitting the packed digital signals to a receiving node of the terminal of the Internet of things, and sending a prompt for receiving the digital signals to a cloud server by the receiving node in response to the arrival operation of the packed digital signals.
Optionally, determining a transmission range of the transmission characteristic parameters of the terminal of the internet of things, and if the transmission characteristic parameters are within the transmission range, transmitting the data packet of the digital signal and the identification to the cloud server; if the transmission characteristic parameters are not in the transmission range, notifying the redundant backup equipment, and transmitting the data packet of the digital signal and the identification to the cloud server.
Optionally, the process of determining the transmission range of the transmission characteristic parameter of the internet of things includes the following steps:
according to the distinguishing characteristics of the transmitted digital signal and the received digital signal, using the device as an upper node to acquire the digital signal; the cloud server is used as a lower node for analyzing the digital signal to obtain the health monitoring result of the current fan;
Selecting part of digital signals from the digital signals sent by the upper node, selecting a preset internet of things terminal corresponding to the upper node as a preference, performing transmission test as the transmission range of the internet of things terminal, measuring the transmission delay and the transmission rate of the digital signals, and transmitting the digital signals and the data packets of the identity mark to a cloud server when the transmission characteristic parameters of the internet of things terminal of the part of digital signals are in the preset transmission range; if the transmission characteristic parameter is not in the transmission range, notifying the redundant backup equipment;
And the redundant backup equipment receives the notification that the transmission characteristic parameters are not in the transmission range, starts the redundant backup equipment, switches to other set internet of things terminals by the redundant backup equipment, and transmits the data packet of the digital signal and the identification to the cloud server.
Optionally, the transmission range is a transmission delay and a transmission rate, and when the transmission delay and the transmission rate do not meet the preset standards, the transmission characteristic parameter is determined not to be in the transmission range.
Optionally, the process of switching from the redundant backup device to the other set terminals of the internet of things includes the following steps:
When the redundant backup equipment is in an unactuated state, according to the running state of the internet of things terminal related to the redundant backup equipment, periodically inquiring the preset time, monitoring the transmission delay and the transmission rate of the internet of things terminal, obtaining the internet of things terminal which accords with the preset standard in the preset time period, and obtaining a list of the internet of things terminal which accords with the preset standard according to the mark;
The method comprises the steps that a redundant backup device is switched from an unactuated state to an actuated state, the conversion condition is that a notification that transmission characteristic parameters are not in a transmission range is received, when the redundant backup device is switched to the actuated state, the current internet of things terminal is switched to a first internet of things terminal in a list, and connection between a superior node and the first internet of things terminal is established;
after connection is established, the upper node sends the data packet of the digital signal and the identity mark to the first Internet of things terminal and then to the cloud server.
Optionally, when the redundant backup device detects that the current internet of things terminal meets a preset standard, the connection between the upper node and the first internet of things terminal is disconnected, and the current internet of things terminal is accessed again.
The invention realizes real-time monitoring and analysis of the healthy operation of the fan so as to improve the reliability, safety and efficiency of fan equipment. The meaning includes: predictive maintenance: through parameters such as temperature, vibration and rotational speed of real-time supervision fan, can in time discover latent trouble and abnormal conditions, realize predictive maintenance, help avoiding sudden trouble and shut down, reduce cost of maintenance and production loss. Real-time monitoring and alarming: the fan monitoring data is transmitted to the cloud for real-time analysis through the Internet of things, so that the real-time monitoring and alarming of the running state of the fan can be realized; when the fan is abnormal, an operator can receive alarm information in time and take corresponding measures to ensure the safe operation of the equipment. Data-driven optimization: through the cloud analysis of fan monitoring data, deep insight about the running state and performance of the fan can be obtained. According to the analysis result, the operation strategy of the fan can be optimized, the maintenance plan can be adjusted, and the efficiency and the service life of the fan can be improved. Remote management and control: the fan monitoring data is transmitted through the Internet of things, so that an operator can remotely monitor and manage fan equipment; remote fault diagnosis, remote control and remote adjustment are realized, and the working efficiency and convenience of operators are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a fan health monitoring method based on multi-data fusion of internet of things in embodiment 1 of the present invention;
FIG. 2 is a process diagram of determining the type of equipment corresponding to the index monitoring according to the index in embodiment 2 of the present invention;
Fig. 3 is a process diagram of transmitting digital signals and identities of the content of the collected index to the terminal of the internet of things in embodiment 3 of the present invention;
Fig. 4 is a process diagram of determining a transmission range of transmission characteristic parameters of the internet of things in embodiment 4 of the present invention;
fig. 5 is a process diagram of switching from a redundant backup device to other set terminals of the internet of things in embodiment 5 of the present invention;
FIG. 6 is a process diagram of obtaining the health status of the current blower in embodiment 6 of the present invention;
FIG. 7 is a process diagram showing the result of judging the health status in embodiment 7 of the present invention;
Fig. 8 is a diagram showing the setting process of the allowable range in embodiment 8 of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application as detailed in the accompanying claims. In the description of the present application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Example 1: as shown in fig. 1, the embodiment of the invention provides a fan health monitoring method based on multi-data fusion of the internet of things, which comprises the following steps:
S100: acquiring an index of monitoring healthy operation of the fan, determining the type of equipment monitored by the corresponding index according to the index, and arranging the equipment at the position of a monitored object corresponding to the fan; when a certain one or a plurality of devices acquire a request for acquiring the index, transmitting a digital signal and an identity of the content of the acquired index to the terminal of the Internet of things; wherein, the index comprises: parameters such as temperature, vibration and rotating speed of the fan;
S200: the method comprises the steps that equipment is defined as an upper node, a cloud server is used as a lower node, the transmission range of transmission characteristic parameters of an Internet of things terminal is judged, and if the transmission characteristic parameters are in the transmission range, a data packet of a digital signal and an identity mark is transmitted to the cloud server; if the transmission characteristic parameters are not in the transmission range, informing the redundant backup equipment, and transmitting the data packet of the digital signal and the identity mark to the cloud server;
S300: the cloud server receives the data packet, and analyzes the data packet in real time to obtain the health state of the current fan and obtain an analysis result; and sending the analysis result to an operator, and simultaneously giving a regulation suggestion.
The working principle and beneficial effects of the technical scheme are as follows: firstly, acquiring an index of monitoring healthy operation of a fan, determining a device type monitored by a corresponding index according to the index, and arranging the device at a position of a monitored object corresponding to the fan; when a certain one or a plurality of devices acquire a request for acquiring the index, transmitting a digital signal and an identity of the content of the acquired index to the Internet of things; wherein, the index comprises: parameters such as temperature, vibration and rotating speed of the fan; secondly, defining the equipment as an upper node, using a cloud end as a lower node, judging the transmission range of the transmission characteristic parameters of the Internet of things, and if the transmission characteristic parameters are in the transmission range, transmitting the data packet of the digital signal and the identity mark to the cloud end; if the transmission characteristic parameters are not in the transmission range, informing the redundant backup equipment, and transmitting the data packet of the digital signal and the identity mark to the cloud server; finally, the cloud server receives the data packet, analyzes the data packet in real time to obtain the health state of the current fan, and obtains an analysis result; and sending the analysis result to an operator, and simultaneously giving a regulation suggestion. The scheme realizes real-time monitoring and analysis of the healthy operation of the fan so as to improve the reliability, safety and efficiency of fan equipment. The meaning includes: predictive maintenance: through parameters such as temperature, vibration and rotational speed of real-time supervision fan, can in time discover latent trouble and abnormal conditions, realize predictive maintenance, help avoiding sudden trouble and shut down, reduce cost of maintenance and production loss. Real-time monitoring and alarming: the fan monitoring data is transmitted to the cloud for real-time analysis through the Internet of things, so that the real-time monitoring and alarming of the running state of the fan can be realized; when the fan is abnormal, an operator can receive alarm information in time and take corresponding measures to ensure the safe operation of the equipment. Data-driven optimization: through the cloud analysis of fan monitoring data, deep insight about the running state and performance of the fan can be obtained. According to the analysis result, the operation strategy of the fan can be optimized, the maintenance plan can be adjusted, and the efficiency and the service life of the fan can be improved. Remote management and control: the fan monitoring data is transmitted through the Internet of things, so that an operator can remotely monitor and manage fan equipment; remote fault diagnosis, remote control and remote adjustment are realized, and the working efficiency and convenience of operators are improved.
In summary, the meaning of the embodiment is that the fan health monitoring data is transmitted to the cloud for real-time analysis through the internet of things, so that the fan equipment is monitored in real time, predictively maintained and optimally controlled. The reliability and efficiency of the fan equipment can be improved, the maintenance cost and the production loss can be reduced, and the intelligent and sustainable development of the fan equipment can be promoted.
Acquiring an index of monitoring healthy operation of the fan, determining the type of equipment monitored by the corresponding index according to the index, and arranging the equipment at the position of a monitored object corresponding to the fan;
Example 2: as shown in fig. 2, on the basis of embodiment 1, the process for determining the device type corresponding to the index monitoring according to the index provided by the embodiment of the present invention includes the following steps:
S101: analyzing the attribute information of all contents of the specific indexes to obtain analysis results of a plurality of indexes, obtaining attribute information corresponding to the indexes from the analysis results, and screening the attribute information to obtain target information capable of representing the equipment type;
S102: dividing attribute information according to target information to obtain a plurality of attribute information sets, endowing attribute information with an index instruction, searching equipment types from a database according to the index instruction to obtain an equipment type list, and taking the equipment arranged at the first position as equipment corresponding to the current index content through a preset equipment selection sequence;
S103: searching the device types corresponding to other attribute information according to the index instruction to obtain final devices, and labeling the identity of all the devices according to different target information after all the attribute information is searched.
The working principle and beneficial effects of the technical scheme are as follows: firstly analyzing attribute information of all contents of specific indexes to obtain analysis results of a plurality of indexes, obtaining attribute information corresponding to the indexes from the analysis results, and screening the attribute information to obtain target information capable of representing the type of equipment; secondly, dividing attribute information according to target information to obtain a plurality of attribute information sets, endowing attribute information with an index instruction, searching equipment types from a database according to the index instruction to obtain an equipment type list, and taking the equipment arranged at the first position as equipment corresponding to the current index content through the preset equipment selection sequence; and finally searching the equipment types corresponding to other attribute information according to the index instruction to obtain final equipment, and marking the identities of all the equipment according to the difference of the target information after all the attribute information is searched. The scheme realizes data analysis, attribute screening and equipment selection of the Internet of things equipment so as to realize monitoring and analysis of specific indexes. The following are important meanings: data parsing and attribute screening: by analyzing and screening the index data, the information related to the equipment type can be extracted from the complex data; features and capabilities of the device are facilitated to be understood and identified, providing a basis for subsequent device selection and analysis. Device selection and matching: according to the attribute information and the index instruction, searching the device types meeting the conditions from the database, and selecting the device most suitable for the current index content according to the preset device selection sequence, thereby being beneficial to quickly positioning and using the suitable device to monitor and analyze the specific index. Data driven decision and optimization: information about device performance, status, and reliability can be obtained through analysis of device selection and attribute information; and the method is beneficial to making data-driven decisions and optimization, including optimization in aspects of equipment maintenance planning, operation strategies, resource allocation and the like. Automation and efficiency improvement: through the automatic data analysis, attribute screening and equipment selection processes, the working efficiency and the accuracy can be improved; the influence of manual intervention and subjective judgment is reduced, and the degree of automation of data processing and equipment selection is improved.
In summary, the meaning of the present embodiment is to utilize data parsing, attribute screening and device selection to implement monitoring and analysis of the internet of things device. Through fully utilizing data and automation technology, can improve efficiency, reduce human error to optimize the use and the management of equipment, thereby promote production efficiency, reduce cost, and promote intelligent and sustainable development.
Example 3: as shown in fig. 3, on the basis of embodiment 1, the process provided by the embodiment of the present invention for transmitting the digital signal and the identity of the content of the collected index to the terminal of the internet of things includes the following steps:
S104: the method comprises the steps that a request for acquiring indexes is preset according to different equipment types, different service identifiers are adopted for different requests, and the service identifiers correspond to the equipment types; determining an index to be acquired according to the service identifier and the equipment type, and sending a request to corresponding equipment according to the equipment type;
S105: caching the currently acquired digital signals and the historical digital signals before the current acquisition according to the request equipment, and respectively packaging the digital signals according to the identity of the current equipment to obtain packaged digital signals;
S106: and transmitting the packed digital signals to a receiving node of the terminal of the Internet of things, and sending a prompt for receiving the digital signals to a cloud server by the receiving node in response to the arrival operation of the packed digital signals.
The working principle and beneficial effects of the technical scheme are as follows: the method comprises the steps that firstly, requests for acquiring indexes are preset according to different equipment types, different service identifiers are adopted for different requests to distinguish, and the service identifiers correspond to the equipment types; determining an index to be acquired according to the service identifier and the equipment type, and sending a request to corresponding equipment according to the equipment type; secondly, caching the currently acquired digital signals and the historical digital signals before the current acquisition according to the request equipment, and respectively packaging the digital signals according to the identity of the current equipment to obtain packaged digital signals; and finally, transmitting the packed digital signals to a receiving node of the Internet of things, and sending a prompt for receiving the digital signals to a cloud server by the receiving node in response to the arrival operation of the packed digital signals. The scheme realizes index customization acquisition: by presetting the index request according to the equipment type and corresponding to the service identifier, customized acquisition of indexes of different equipment types can be realized, the method is beneficial to pointedly acquiring required index data according to the difference of the equipment types, and the efficiency and accuracy of data acquisition are improved. Data caching and packaging: and caching the currently acquired digital signal and the historical digital signal according to the request equipment. Meanwhile, the digital signals are packaged according to the identity of the equipment, and the packaged digital signals are obtained; the method is beneficial to retaining historical data, and meanwhile, the collected data is marked and packaged according to the equipment identity, so that subsequent transmission and processing are facilitated. Internet of things transmission and response: transmitting the packed digital signals to a receiving node of the Internet of things, wherein the receiving node can respond to the arrival of the transmitted digital signals and transmit the digital signals to a cloud server; the method is beneficial to realizing the transmission and sharing of data so as to facilitate the subsequent data storage, processing and analysis. Data application and decision support: the digital signals are transmitted to the cloud server, so that centralized storage and analysis of data can be realized; providing a basis for application and decision of data, such as real-time monitoring, fault prediction, performance optimization and the like; by analyzing the collected data, useful information and insight can be obtained, supporting business decisions and operation optimization.
In summary, the meaning of the embodiment is to realize customized collection of indexes, caching and packing of data, transmission and response of internet of things, and application and decision support of data; the method is beneficial to improving the efficiency, accuracy and usability of data acquisition and processing, and promotes the development and optimization of the application of the animal networking.
Example 4: as shown in fig. 4, on the basis of embodiment 1, the process for determining the transmission range of the transmission characteristic parameter of the internet of things provided by the embodiment of the invention includes the following steps:
S201: according to the distinguishing characteristics of the transmitted digital signal and the received digital signal, using the device as an upper node to acquire the digital signal; the cloud server is used as a lower node for analyzing the digital signal to obtain the health monitoring result of the current fan;
S202: selecting part of digital signals from the digital signals sent by the upper node, selecting a preset internet of things terminal corresponding to the upper node as a preference, performing transmission test as the transmission range of the internet of things terminal, measuring the transmission delay and the transmission rate of the digital signals, and transmitting the digital signals and the data packets of the identity mark to a cloud server when the transmission characteristic parameters of the internet of things terminal of the part of digital signals are in the preset transmission range; if the transmission characteristic parameter is not in the transmission range, notifying the redundant backup equipment;
the transmission range is transmission delay and transmission rate, and when the transmission delay and the transmission rate do not meet preset standards, the transmission characteristic parameters are judged not to be in the transmission range;
S203: and the redundant backup equipment receives the notification that the transmission characteristic parameters are not in the transmission range, starts the redundant backup equipment, switches to other set internet of things terminals by the redundant backup equipment, and transmits the data packet of the digital signal and the identification to the cloud server.
The working principle and beneficial effects of the technical scheme are as follows: according to the embodiment, firstly, equipment is used as an upper node according to the distinguishing characteristics of a transmitted digital signal and a received digital signal to acquire the digital signal; the cloud server is used as a lower node for analyzing the digital signal to obtain the health monitoring result of the current fan; selecting part of digital signals from the digital signals sent by the upper node, selecting a preset internet of things terminal corresponding to the upper node as a preference, performing transmission test as the transmission range of the internet of things terminal, measuring the transmission delay and the transmission rate of the digital signals, and transmitting the digital signals and the data packets of the identity mark to a cloud server when the transmission characteristic parameters of the internet of things terminal of the part of digital signals are in the preset transmission range; if the transmission characteristic parameter is not in the transmission range, notifying the redundant backup equipment; and finally, the redundant backup equipment receives a notification that the transmission characteristic parameters are not in the transmission range, starts the redundant backup equipment, switches to other set internet of things terminals by the redundant backup equipment, and transmits the data packet of the digital signal and the identity mark to the cloud server. The scheme ensures the reliability and availability of the data; the device is used as an upper node to acquire a digital signal, and the digital signal is transmitted to a cloud server for analysis, so that the health monitoring of the fan can be realized; meanwhile, the transmission test is carried out by selecting the preset Internet of things terminal as a preference, so that the transmission delay and the transmission rate of the digital signal can be evaluated, and the transmission characteristic parameters are ensured to be within the preset transmission range; if the transmission characteristic parameters do not meet the preset requirements, notifying the redundant backup equipment, and starting the redundant backup equipment to perform data transmission. The meaning is in the following aspects: data backup and redundancy: by using the redundant backup equipment, the backup and redundancy of the data can be ensured, and even if a certain Internet of things terminal fails or is abnormal in transmission, the digital signals can be transmitted to the cloud server through other Internet of things terminals, so that the integrity and the restorability of the data are ensured. Data security and reliability: through transmitting the digital signal to the cloud server for analysis, the health monitoring of the fan can be realized, the fan fault or abnormality can be found in advance, and the risk and loss in the operation of the fan are reduced. Transmission performance evaluation and optimization: the transmission test is carried out by selecting the preset internet of things terminal, so that the transmission delay and the transmission rate of the digital signal can be evaluated, the transmission performance is optimized, and the efficiency and the stability of data transmission are improved.
In summary, the meaning of the embodiment is to ensure the reliability, safety and availability of the data, and improve the efficiency and stability of data transmission, thereby realizing health monitoring and fault early warning of the fan.
Example 5: as shown in fig. 5, on the basis of embodiment 4, the process of switching from the redundant backup device to the other set internet of things terminal according to the embodiment of the present invention includes the following steps:
s2031: when the redundant backup equipment is in an unactuated state, according to the running state of the internet of things terminal related to the redundant backup equipment, periodically inquiring the preset time, monitoring the transmission delay and the transmission rate of the internet of things terminal, obtaining the internet of things terminal which accords with the preset standard in the preset time period, and obtaining a list of the internet of things terminal which accords with the preset standard according to the mark;
S2032: the method comprises the steps that a redundant backup device is switched from an unactuated state to an actuated state, the conversion condition is that a notification that transmission characteristic parameters are not in a transmission range is received, when the redundant backup device is switched to the actuated state, the current internet of things terminal is switched to a first internet of things terminal in a list, and connection between a superior node and the first internet of things terminal is established;
S2033: after connection is established, the upper node sends a digital signal and a data packet of an identity mark to a first Internet of things terminal and then to a cloud server; when the redundant backup equipment detects that the current Internet of things terminal meets the preset standard, the connection between the upper node and the first Internet of things terminal is disconnected, and the current Internet of things terminal is accessed again.
The working principle and beneficial effects of the technical scheme are as follows: according to the method, when the redundant backup equipment is in an unactuated state, the running state of the Internet of things terminal related to the redundant backup equipment is periodically inquired according to preset time, the transmission delay and the transmission rate of the Internet of things terminal are monitored, the Internet of things terminal meeting preset standards in the preset time period is obtained, and a list of the Internet of things terminal meeting the preset standards is obtained according to the labels of the Internet of things terminal; secondly, the redundant backup equipment is switched from an unactuated state to an actuated state, the conversion condition is that a notification that the transmission characteristic parameter is not in a transmission range is received, and when the redundant backup equipment is switched to the actuated state, the redundant backup equipment switches the current internet of things terminal to a first internet of things terminal in a list, and connection between an upper node and the first internet of things terminal is established; finally, after connection is established, the upper node sends the data packet of the digital signal and the identity mark to the first Internet of things terminal and then to the cloud server; when the redundant backup equipment detects that the current Internet of things terminal meets the preset standard, the connection between the upper node and the first Internet of things terminal is disconnected, and the current Internet of things terminal is accessed again. The scheme ensures the reliability and the continuity of the redundant backup equipment; the operation state of the Internet of things terminal related to the redundant backup equipment is regularly inquired, and the transmission delay and the transmission rate of the Internet of things terminal are monitored, so that an Internet of things terminal list meeting preset standards can be obtained; and when the redundant backup equipment receives the notification that the transmission characteristic parameters are not in the transmission range, starting the redundant backup equipment and switching the redundant backup equipment to the first Internet of things terminal in the list to establish connection. The meaning subject now follows: redundant backup and continuity: the running state and the transmission performance of the internet of things terminal are regularly inquired, the internet of things terminal meeting the preset standard can be selected as the backup device, so that the data can be switched to the backup device in time under the condition of main device failure or transmission abnormality, and continuous transmission and backup of the data are realized. Reliability of redundant backup devices: when the redundant backup equipment receives the notification that the transmission characteristic parameters do not accord with the preset standard, the redundant backup equipment is started and switched to the first Internet of things terminal in the list, connection is established, and reliability and availability of the backup equipment are ensured. Stability and continuity of data transmission: by establishing connection and sending the data packets of the digital signals and the identification marks to the backup equipment, the stability and continuity of data transmission can be realized, and the integrity and restorability of data are ensured.
In summary, the meaning of the embodiment is to ensure the reliability and continuity of the redundant backup device and improve the stability and continuity of data transmission, so as to ensure the backup and redundancy of data and ensure the operation of the system and the safety of the data.
Example 6: as shown in fig. 6, on the basis of embodiment 1, the process for obtaining the health status of the current fan provided by the embodiment of the present invention includes the following steps:
S301: verifying the data packet to obtain a digital signal and an identity mark contained in the data packet, and analyzing the digital signal in the data packet after the identity mark passes the verification to obtain a list of the digital signals distinguished according to the identity mark;
S302: the cloud server receives the list of the digital signals, judges the health state of the fan according to the digital signals, and determines whether the fan needs to continue to operate, repair, maintain or stop operating according to the judging result of the health state; comparing the temperature, vibration, rotation speed and the like in the digital signal with the allowable range of the fan in the health state to obtain a judgment result;
S303: and sending the judging result to a control terminal of an operator through the terminal of the Internet of things, and providing maintenance measures by the cloud server according to the judging result.
The working principle and beneficial effects of the technical scheme are as follows: firstly, verifying a data packet to obtain digital signals and identity marks contained in the data packet, and analyzing the digital signals in the data packet after the identity marks pass the verification to obtain a list of the digital signals distinguished according to the identity marks; secondly, the cloud server receives a list of the digital signals, and judges the health state of the fan according to the digital signals, and the judgment result of the health state determines whether the fan needs to continue to operate, repair, maintain or stop operating and the like; comparing the temperature, vibration, rotation speed and the like in the digital signal with the allowable range of the fan in the health state to obtain a judgment result; and finally, sending the judging result to a control terminal of an operator through the terminal of the Internet of things, and simultaneously, giving suggestions of running, repairing, maintaining or stopping running and the like of the fan by the cloud server according to the judging result, and providing repairing and maintaining measures. The method and the device realize the monitoring and prediction of the health state of the fan and provide corresponding operation suggestions and maintenance measures; through verifying and analyzing the data packet, the digital signal and the identity thereof can be obtained, and further different digital signal lists can be distinguished according to the identity. And the cloud server judges the health state of the fan according to the digital signal list and gives out corresponding suggestions according to the judgment result. The significance is mainly expressed in the following aspects: health status monitoring and prediction: the health state of the fan can be judged by analyzing and comparing the digital signals, and the parameters comprise temperature, vibration, rotating speed and the like; according to the judging result of the health state, the fault or abnormality of the fan can be found in advance, and the monitoring and the prediction of the health state are realized. Operation management and maintenance: according to the judging result of the health state, the operation management suggestion of the fan, such as continuous operation, maintenance or stop operation, can be given; meanwhile, the cloud server can provide specific measures for maintenance and repair, so that operators can be helped to carry out corresponding maintenance and repair work, and reliability and usability of the fan are improved. Data analysis and decision support: the cloud server can analyze and mine data through analysis of the digital signals and judgment of the health state, and decision support is provided; according to the data analysis result, the operation strategy of the fan can be optimized, and the energy utilization efficiency and the operation effect are improved.
In summary, the meaning of the embodiment is to realize the monitoring and prediction of the health status of the fan and provide operation management, maintenance and decision support, so as to improve the reliability, availability and operation efficiency of the fan.
Example 7: as shown in fig. 7, on the basis of embodiment 6, the process of determining the health status provided in the embodiment of the present invention includes the following steps:
S3021: comparing the temperature, vibration or rotation speed of the same identity with respect to the digital signal of the same identity, obtaining the fluctuation value of the temperature, vibration or rotation speed in one or more sampling periods according to the difference of sampling moments, and comparing the fluctuation value with an allowable range;
S3022: when any one of the fluctuation values of the temperature, vibration or rotation speed exceeds the allowable range, a judgment result that the current fan needs to be repaired or maintained is sent out; when any two fluctuation values of the temperature, vibration or rotation speed exceed the allowable range, a judgment result that the current fan needs to stop running is sent out; when any one fluctuation value of the temperature, vibration or rotation speed does not exceed the allowable range, a judgment result that the current fan needs to continue to run is sent out;
S3023: and according to the type of the judging result, sending the judging result, the digital signal corresponding to the fluctuation value and the corresponding identity to the terminal of the Internet of things.
The working principle and beneficial effects of the technical scheme are as follows: according to the embodiment, firstly, aiming at digital signals of the same identity, comparing the temperature, vibration or rotating speed of the same identity, obtaining fluctuation values of the temperature, vibration or rotating speed in one or a plurality of sampling periods according to different sampling moments, and comparing the fluctuation values with an allowable range; secondly, when any one fluctuation value of the temperature, vibration or rotating speed exceeds an allowable range, a judgment result that the current fan needs to be repaired or maintained is sent out; when any two fluctuation values of the temperature, vibration or rotation speed exceed the allowable range, a judgment result that the current fan needs to stop running is sent out; when any one fluctuation value of the temperature, vibration or rotation speed does not exceed the allowable range, a judgment result that the current fan needs to continue to run is sent out; and finally, according to the type of the judging result, sending the digital signal corresponding to the judging result and the fluctuation value and the corresponding identity to the terminal of the Internet of things. According to the scheme, the running state of the fan is judged according to the comparison of the fluctuation value of the digital signal and the allowable range, and a corresponding judgment result is sent out; by comparing the fluctuation value of the temperature, vibration or rotation speed with the allowable range, the operation condition of the fan can be evaluated, including whether maintenance, maintenance or stop operation is required. The significance is mainly expressed in the following aspects: and (3) monitoring and judging the running state: by comparing the fluctuation value with the allowable range, the running state of the fan can be judged. When any one of the fluctuation values exceeds the allowable range, judging that the fan needs to be repaired or maintained; when any at least two fluctuation values exceed the allowable range, judging that the fan needs to stop running; and when all the fluctuation values do not exceed the allowable range, judging that the fan needs to continue to operate. Fault diagnosis and early warning: through judging the type of the result, corresponding fault diagnosis and early warning information can be sent out. When the judgment result shows that maintenance is needed, the failure or abnormality of the fan can be found in advance, corresponding maintenance measures are taken, and the downtime and the maintenance cost are reduced; when the judgment result is that the operation is required to be stopped, further damage and safety risk of the fan can be avoided. Data transmission and analysis: according to the judging result, the digital signal corresponding to the fluctuation value and the identity, related information is sent to the terminal of the Internet of things; therefore, the real-time monitoring and remote management of the running state of the fan can be realized, detailed running state information is provided for operators, and decision making and scheduling are supported.
In summary, the meaning of the embodiment is to realize monitoring and judging of the running state of the fan, and provide fault diagnosis and early warning, and data transmission and analysis, so as to improve the reliability, safety and running efficiency of the fan.
Example 8: as shown in fig. 8, on the basis of embodiment 7, the setting process of the allowable range provided in the embodiment of the present invention includes the following steps:
S30211: obtaining parameters such as temperature, vibration or rotating speed of the fan, wherein the parameters comprise a maximum parameter value, a minimum parameter value and an average parameter value; when any one of the real-time temperature, vibration or rotation speed exceeds the maximum parameter value, the cloud server immediately stops the operation of the fan;
s30212: dividing the fan operation period into a plurality of time interfaces according to one or a plurality of preset sampling periods by taking the maximum parameter value, the minimum parameter value and the average parameter value as conditions for constraint with the preset, and obtaining the allowable range that the temperature, the vibration and the rotating speed meet the preset constraint conditions;
S30213: and establishing a connection relation between the allowable range and the control instruction of the remote server, and connecting the comparison result of the corresponding allowable range with the control instruction such as continuous operation, maintenance or stop operation.
The working principle and beneficial effects of the technical scheme are as follows: firstly, parameters such as temperature, vibration or rotating speed of a fan are obtained, wherein the parameters comprise a maximum parameter value, a minimum parameter value and an average parameter value; when any one of the real-time temperature, vibration or rotation speed exceeds the maximum parameter value, the cloud server immediately stops the operation of the fan; secondly, dividing the fan operation period into a plurality of time interfaces according to one or a plurality of preset sampling periods by taking the maximum parameter value, the minimum parameter value and the average parameter value as conditions for constraint with the preset, and obtaining the allowable range that the temperature, the vibration and the rotating speed meet the preset constraint conditions; and finally, establishing a connection relation between the allowable range and the control instruction of the remote server, and connecting the comparison result of the corresponding allowable range with the control instruction such as continuous operation, maintenance or stop operation. The scheme realizes the real-time monitoring and control of the running state of the fan, compares the real-time parameter with the set maximum parameter value, and obtains the allowable range according to the preset constraint condition, thereby carrying out the running control and maintenance management of the fan. The meaning is expressed in the following aspects: real-time monitoring and safety control: real-time monitoring and safety control of the running state of the fan can be realized by acquiring real-time parameters such as temperature, vibration or rotating speed and the like and comparing the parameters with the maximum parameter value; when any parameter exceeds the maximum parameter value, the cloud server immediately stops the operation of the fan, and further damage and safety risk of the fan are avoided. Preset constraint conditions and tolerance ranges: dividing the fan operation period into time interfaces according to a preset sampling period and solving an allowable range meeting preset constraint conditions according to the maximum parameter value, the minimum parameter value and the average parameter value; by establishing the connection relation between the allowable range and the control instruction of the remote server, corresponding operation control, such as continuous operation, maintenance or stop operation, can be performed according to the comparison result. Remote control and maintenance management: by establishing a connection relationship, the allowable range is connected with the control instruction, so that the operation and maintenance management of the fan can be remotely realized; according to the comparison result, the remote server can send corresponding control instructions to the fan, and automation and remodelling of operation control and maintenance management are achieved.
In summary, the meaning of the embodiment is to realize real-time monitoring and control of the running state of the fan and provide functions of safety control and remote maintenance management, so as to improve the reliability, safety and running efficiency of the fan.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A fan health monitoring method based on multi-data fusion of the Internet of things is characterized by comprising the following steps:
Acquiring an index of monitoring healthy operation of the fan, determining the type of equipment monitored by the corresponding index according to the index, and arranging the equipment at the position of a monitored object corresponding to the fan;
the method comprises the steps that equipment is defined as an upper node, a cloud server is used as a lower node, the transmission range of transmission characteristic parameters of an Internet of things terminal is judged, and a data packet of a digital signal and an identity mark is transmitted to the cloud server;
the cloud server receives the data packet, and analyzes the data packet in real time to obtain the health state of the current fan and obtain an analysis result; sending the analysis result to an operator, and simultaneously giving a regulation suggestion;
Wherein, the index comprises: temperature, vibration and rotation speed parameters of the fan;
a process for determining a device type corresponding to an indicator monitor based on an indicator, comprising the steps of:
Analyzing the attribute information of all contents of the specific indexes to obtain analysis results of a plurality of indexes, obtaining attribute information corresponding to the indexes from the analysis results, and screening the attribute information to obtain target information capable of representing the equipment type;
Dividing attribute information according to target information to obtain a plurality of attribute information sets, endowing attribute information with an index instruction, searching equipment types from a database according to the index instruction to obtain an equipment type list, and taking the equipment arranged at the first position as equipment corresponding to the current index content through a preset equipment selection sequence;
Searching equipment types corresponding to other attribute information according to the index instruction to obtain final equipment, and marking identities of all the equipment according to different target information after all the attribute information is searched;
Judging the transmission range of the transmission characteristic parameters of the terminal of the Internet of things, and if the transmission characteristic parameters are in the transmission range, transmitting the data packet of the digital signal and the identification to the cloud server; if the transmission characteristic parameters are not in the transmission range, informing the redundant backup equipment, and transmitting the data packet of the digital signal and the identity mark to the cloud server;
The process for judging the transmission range of the transmission characteristic parameters of the Internet of things comprises the following steps:
according to the distinguishing characteristics of the transmitted digital signal and the received digital signal, using the device as an upper node to acquire the digital signal; the cloud server is used as a lower node for analyzing the digital signal to obtain the health monitoring result of the current fan;
Selecting part of digital signals from the digital signals sent by the upper node, selecting a preset internet of things terminal corresponding to the upper node as a preference, performing transmission test as the transmission range of the internet of things terminal, measuring the transmission delay and the transmission rate of the digital signals, and transmitting the digital signals and the data packets of the identity mark to a cloud server when the transmission characteristic parameters of the internet of things terminal of the part of digital signals are in the preset transmission range; if the transmission characteristic parameter is not in the transmission range, notifying the redundant backup equipment;
And the redundant backup equipment receives the notification that the transmission characteristic parameters are not in the transmission range, starts the redundant backup equipment, switches to other set internet of things terminals by the redundant backup equipment, and transmits the data packet of the digital signal and the identification to the cloud server.
2. The fan health monitoring method based on the multi-data fusion of the internet of things according to claim 1, wherein when a request for acquiring the index is acquired by one or more devices, digital signals and identification marks of the content of the acquired index are transmitted to the terminal of the internet of things.
3. The fan health monitoring method based on the multi-data fusion of the internet of things according to claim 2, wherein the process of transmitting the digital signal and the identity of the content of the collected index to the terminal of the internet of things comprises the following steps:
the method comprises the steps that a request for acquiring indexes is preset according to different equipment types, different service identifiers are adopted for different requests, and the service identifiers correspond to the equipment types; determining an index to be acquired according to the service identifier and the equipment type, and sending a request to corresponding equipment according to the equipment type;
caching the currently acquired digital signals and the historical digital signals before the current acquisition according to the request equipment, and respectively packaging the digital signals according to the identity of the current equipment to obtain packaged digital signals;
And transmitting the packed digital signals to a receiving node of the terminal of the Internet of things, and sending a prompt for receiving the digital signals to a cloud server by the receiving node in response to the arrival operation of the packed digital signals.
4. The method for monitoring the health of a fan based on the internet of things according to claim 1, wherein the transmission range is a transmission delay and a transmission rate, and the transmission characteristic parameter is determined not to be in the transmission range when the transmission delay and the transmission rate do not meet a preset standard.
5. The fan health monitoring method based on the multi-data fusion of the internet of things of claim 1, wherein the process of switching from the redundant backup device to the other set terminals of the internet of things comprises the following steps:
When the redundant backup equipment is in an unactuated state, according to the running state of the internet of things terminal related to the redundant backup equipment, periodically inquiring the preset time, monitoring the transmission delay and the transmission rate of the internet of things terminal, obtaining the internet of things terminal which accords with the preset standard in the preset time period, and obtaining a list of the internet of things terminal which accords with the preset standard according to the mark;
The method comprises the steps that a redundant backup device is switched from an unactuated state to an actuated state, the conversion condition is that a notification that transmission characteristic parameters are not in a transmission range is received, when the redundant backup device is switched to the actuated state, the current internet of things terminal is switched to a first internet of things terminal in a list, and connection between a superior node and the first internet of things terminal is established;
after connection is established, the upper node sends the data packet of the digital signal and the identity mark to the first Internet of things terminal and then to the cloud server.
6. The fan health monitoring method based on the multi-data fusion of the internet of things according to claim 5, wherein when the redundant backup device detects that the current terminal of the internet of things meets the preset standard, the upper node is disconnected from the first terminal of the internet of things, and the current terminal of the internet of things is accessed again.
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---|---|---|---|---|
WO2021168490A1 (en) * | 2020-02-27 | 2021-09-02 | I4See Tech Gmbh | Method for at least partially decentralized calculation of the state of health of at least one wind turbine |
CN117151684A (en) * | 2023-08-22 | 2023-12-01 | 新疆信友新能源发电有限公司 | Wind power fan data analysis early warning method, system, device and readable storage medium |
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---|---|---|---|---|
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CN117151684A (en) * | 2023-08-22 | 2023-12-01 | 新疆信友新能源发电有限公司 | Wind power fan data analysis early warning method, system, device and readable storage medium |
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