CN114116788A - Industry data processing method and storage medium thereof - Google Patents

Industry data processing method and storage medium thereof Download PDF

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CN114116788A
CN114116788A CN202111270288.0A CN202111270288A CN114116788A CN 114116788 A CN114116788 A CN 114116788A CN 202111270288 A CN202111270288 A CN 202111270288A CN 114116788 A CN114116788 A CN 114116788A
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data processing
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胡伦
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Huiwu Yuntong Shenzhen Technology Co ltd
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Huiwu Yuntong Shenzhen Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06F16/2455—Query execution
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
    • G—PHYSICS
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Abstract

The invention relates to the technical field of data processing, and discloses an industry data processing method and a storage medium thereof, wherein the industry data processing method comprises the following steps: step 1: acquiring and transmitting various types of data; step 2: diagnosing data, confirming normal data, abnormal data and doubt data; and when the abnormal data is judged to be abnormal data, alarming is carried out immediately, and when the doubtful data is judged to be doubtful data, early warning is carried out or the doubtful data is cancelled according to the prediction strategy processing. The invention can achieve the effects of comprehensively processing data, improving the fault detection perfection and accuracy and predicting the fault.

Description

Industry data processing method and storage medium thereof
Technical Field
The invention relates to the technical field of data processing, in particular to an industry data processing method and a storage medium thereof.
Background
The hydroelectric power generation is a 'leading sheep' for renewable energy power generation, is second to coal-fired power generation and gas power generation in the global power generation share, and is the third world, and meanwhile, is the second in the Chinese power generation share at present. Hydroelectric facilities are the foundation for hydroelectric power generation. Along with the increasing specific gravity of the large-scale hydroelectric generating set in the whole electric power system, the single-machine capacity is increased, the automation degree is continuously improved, the average annual power generation time is prolonged, on one hand, the objective requirements of improving the production efficiency, reducing the production cost, saving energy and the like of power generation enterprises are met, and the social benefit and the economic benefit are greatly improved; on the other hand, higher requirements are provided for the availability of the hydroelectric equipment, the unit operation efficiency, the safety, the reliability and the economy, the economic loss caused by the accident shutdown is possibly more serious, and more challenges are brought to the operation management of the hydroelectric equipment.
The hydroelectric generating set and the electrical equipment are continuously subjected to silt abrasion, cavitation damage, mechanical abrasion and other mechanical or electrical damages in the running process, so that the service life of the equipment is shortened. When the power equipment and the system are in failure, the production efficiency of the system is reduced if the power equipment and the system are in failure, and even disastrous results are caused if the power equipment and the system are in outage if the power equipment and the system are in failure. Therefore, the method has very important significance for stable and reliable operation of the power system by accurately analyzing and evaluating the group data of the hydraulic generator and accurately evaluating the fault.
The existing online monitoring-based water turbine fault pre-diagnosis method monitors vibration parameters of a water turbine in a hydroelectric generating set in a targeted manner and diagnoses monitoring data, but the method only monitors the vibration parameters, fault factors of the water turbine, such as overhigh temperature of a bearing bush, electrical damage and the like, except vibration, and related data of the factors also need to be acquired and analyzed to ensure comprehensive monitoring of faults of the water turbine, and a relatively comprehensive data processing system or data processing method does not exist at present. Meanwhile, the existing data processing method is not careful in processing and dividing data, and only normal and abnormal data are distinguished, so that the fault judgment is not sensitive and accurate.
Disclosure of Invention
The invention aims to provide an industrial data processing method and a storage medium thereof, so as to achieve the effects of comprehensively processing data, improving the fault detection perfection and accuracy and predicting faults.
The basic scheme provided by the invention is as follows: an industry data processing method and a storage medium thereof comprise the following steps:
step 1: acquiring and transmitting various types of data;
step 2: diagnosing data, confirming normal data, abnormal data and doubt data; and when the abnormal data is judged to be abnormal data, alarming is carried out immediately, and when the doubtful data is judged to be doubtful data, early warning is carried out or the doubtful data is cancelled according to the prediction strategy processing.
The invention has the advantages that: the data obtained by diagnosis comprises the doubt data, early warning is made or the doubt is cancelled through further selection of a prediction strategy, compared with the operation that only abnormal data and normal data are distinguished in the prior art, the scheme is more detailed for data division, the prediction strategy is formulated, the detailed doubt data is reasonably processed, and comprehensiveness and accuracy of data processing are guaranteed. Moreover, the method is helpful for confirming or predicting the fault occurrence point of the next period through confirming the doubt data, has certain predictability, is helpful for the staff to check the fault in advance, and reduces possible fault loss. Meanwhile, the acquired data items are multi-class data, the data acquisition is more perfect, and the fault detection perfection and accuracy are further improved.
Further, in step 1, the object of acquiring data is hydraulic industry equipment.
Due to the important position of the hydraulic industry equipment in the field of power generation, the monitoring and processing of the data of the hydraulic industry equipment are very important, and the integral method has higher practical application value when the data of the hydraulic industry equipment is acquired.
Further, in step 1, an interactive terminal is adopted to obtain data, an anti-interference unit is arranged in the interactive terminal and used for eliminating external interference factors generated when the equipment runs.
By the arrangement, the data transmission process is more stable by eliminating the equipment interference, and the data cannot be cracked or have errors in the transmission process, so that the follow-up judgment and processing of the data are influenced. Especially to the hydraulic turbine unit equipment in the water conservancy industry equipment, the setting of anti jamming unit is very important, because the hydraulic turbine unit adopts the excitation principle to generate electricity when generating electricity, can produce such as magnetic field during the electricity generation, thunderbolt surge, cubical switchboard high power switch structure, a great deal of interference factors such as ground connection setting, so, the interference killing feature to all equipment on-the-spot is required to be high, need equipment to possess higher stability, the anti jamming unit that this scheme used then can resist above-mentioned interference factor, guarantee the collection and the transmission course of data stable, and then guarantee the accuracy of data, help promoting data processing, the degree of accuracy of fault diagnosis.
Further, in step 1, the data is acquired by data interface transmission, bluetooth transmission or cloud transmission.
According to the method, the data acquisition modes are various, the requirements of different transmission environments can be met, and the method has universality as a whole.
Further, the data acquisition object is a hydraulic turbine set; the acquired data comprises temperature values of the bearing bushes of the water turbine, PT signals or pulse signals output by the water turbine, and the data of the rotating speed, the frequency, the rotating speed percentage and the vibration parameters of the generator set in the water turbine set.
The device can relatively comprehensively collect the data of the hydraulic turbine set, and the fault analysis of the hydraulic turbine is more perfect and accurate. Compare only gather in prior art, analysis vibration parameter data, this scheme has then carried out data acquisition more comprehensively, because the excitation power generation principle that the hydraulic turbine unit adopted, hydraulic turbine unit's data acquisition often receives the interference, so that data is inaccurate, so data acquisition in the past only gathers single type vibration parameter, and avoid gathering multiclass data simultaneously, in case produce great error, make data analysis invalid, this scheme has then overcome this type of data acquisition difficulty, can gather data comprehensively, and then promote fault detection perfect degree and the degree of accuracy.
Further, in step 2, when data is diagnosed, if the data exceeds a preset standard range, the data is judged to be abnormal; and if the jitter amplitude of the data exceeds the standard jitter amplitude, judging the data to be abnormal data.
According to the setting, the abnormal data is judged according to a certain standard rule, the judgment on the abnormal data is reliable, and the whole method is more reliable.
Further, when data is diagnosed, if the data is close to a preset standard range, the data is judged to be in doubt; the data is close to the preset standard range, and the difference value between the data and the preset standard range is smaller than two unit values.
According to the arrangement, the in-doubt data is judged according to a certain standard rule, the in-doubt data is judged reliably, and the overall method is more reliable.
Further, the prediction strategy is to continuously monitor the data variation trend of the in-doubt data item in a focused manner, if the difference value between the in-doubt data item and the preset standard range is reduced to be within a unit value, an early warning notification is given, and if the difference value between the in-doubt data item and the preset standard range is greater than two unit values, the in-doubt judgment is cancelled.
According to the arrangement, when the in-doubt data is further judged, two judgment directions are set, early warning is carried out on the in-doubt data item or in-doubt judgment processing is cancelled according to the data change trend, the in-doubt data is processed reliably, and the misjudgment probability is low.
Furthermore, a man-machine interaction module is also arranged in the interaction terminal and used for providing equipment information and fault query service; the human-computer interaction module is provided with a touch interaction function, a voice interaction function and a gesture interaction function.
Set up like this, the staff can know equipment information and fault information through interactive terminal, and information transfer is more convenient and fast, also the easy access personnel overhauls. Meanwhile, the human-computer interaction module has multiple interaction functions, and the interaction experience is good.
The invention also provides a storage medium, which stores a computer program, which when executed by a processor implements an industrial data processing method as described above.
The scheme has the advantages that: the industrial data processing method can be executed by the entity processor, and is convenient to apply in practical occasions.
Drawings
Fig. 1 is a schematic block diagram of a first embodiment of an industrial data processing method and a storage medium thereof according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
the first embodiment is as follows:
the embodiment is basically as shown in the attached figure 1: an industry data processing method and its storage medium, has provided a industry data processing method, including the following steps:
step 1: acquiring and transmitting various types of data; in the embodiment, the data acquisition object is a hydraulic turbine set in hydraulic industry equipment; the acquired data comprises temperature values of bearing bushes of the water turbine, PT signals and pulse signals output by the water turbine, and the data of the rotating speed, frequency, rotating speed percentage and vibration parameters of a generator set in the water turbine set; and the basic information of the equipment such as the model of the hydraulic turbine set equipment is also included. The data acquisition mode is data interface transmission, Bluetooth transmission or cloud transmission. In this embodiment, a data interface is selected for transmission.
Specifically, the data are acquired by adopting an interactive terminal, an anti-interference unit is arranged in the interactive terminal, and the anti-interference unit is used for eliminating external interference factors generated when equipment operates. Specifically, a plurality of anti-interference circuits including a lightning surge protection circuit, an electromagnetic interference prevention circuit and a ground protection circuit are arranged in the anti-interference unit. The anti-interference circuits can ensure the stable data acquisition and transmission process, overcome the problems in the prior water turbine set data acquisition, and further realize the stable acquisition and transmission processing of various types of data of the water turbine set.
The interactive terminal is also internally provided with a human-computer interaction module, and the human-computer interaction module is used for providing equipment information and fault query service; the human-computer interaction module is provided with a touch interaction function, a voice interaction function and a gesture interaction function. Specifically, the staff can communicate with the human-computer interaction module through the mobile terminal, remotely inquire equipment information, know the working state of the equipment, and when the equipment breaks down, also can communicate with the human-computer interaction module through the mobile terminal to confirm relevant information of the fault, so that the maintenance flow is convenient to simplify, and the maintenance efficiency is improved.
Step 2: diagnosing data, confirming normal data, abnormal data and doubt data; and when the abnormal data is judged to be abnormal data, alarming is carried out immediately, and when the doubtful data is judged to be doubtful data, early warning is carried out or the doubtful data is cancelled according to the prediction strategy processing.
Specifically, when data are diagnosed, if the data exceed a preset standard range, abnormal data are determined, for example, the preset standard range of the water turbine bearing bush is 60 ℃ to 65 ℃, and abnormal data are determined when the data exceed 65 ℃, and an alarm is given immediately. And if the jitter amplitude of the data exceeds the standard jitter amplitude, judging the data to be abnormal data. In the embodiment, the standard jitter amplitude of each item of data is 65%, namely, when the data has a relatively large jump, the data is judged to be abnormal data. When the data is diagnosed, if the data is close to a preset standard range, the data is judged to be in doubt; the data is close to the preset standard range, and the difference value between the data and the preset standard range is smaller than two unit values. Wherein each unit value is a unit value of the data value, for example, a unit value at 1 ℃ in the temperature of a water turbine bearing bush.
The prediction strategy is to continuously monitor the data change trend of the in-doubt data item, if the difference value between the in-doubt data item and the preset standard range value is reduced to be within a unit value, an early warning notice is given, the early warning notice is different from an alarm notice when abnormal data is found, in the embodiment, the early warning notice is to mark the in-doubt data item and transmit the in-doubt data item to a worker, and the worker is reminded to check the potential fault risk in time. And if the difference value between the in-doubt data item and the preset standard range is more than two unit values, canceling the in-doubt judgment, specifically converting the data for canceling the in-doubt judgment into normal data.
The present embodiment also provides a storage medium, which stores a computer program, and the computer program realizes the above-mentioned industry data processing method when being executed by a processor.
The embodiment can stably receive data, comprehensively process and analyze the data, improve the fault detection perfection and accuracy and predict the fault.
Example two:
in this embodiment, the vibration parameters and the temperature values of the turbine bearing pads are preferentially analyzed and processed.
In the fault factors of the hydraulic turbine set, the bearing temperature is overhigh and the hydraulic turbine generates strong vibration in the running process, the fault type exceeding the normal running range is very common, vibration parameters and the temperature value of a bearing bush of the hydraulic turbine are processed in a key mode, the actual application scene is better met, and the fault determining mode is more effective.
Compared with the first embodiment, the method provided by the embodiment is more suitable for the practical application needs, and the fault detection is more efficient.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (10)

1. An industry data processing method is characterized by comprising the following steps:
step 1: acquiring and transmitting various types of data;
step 2: diagnosing data, confirming normal data, abnormal data and doubt data; and when the abnormal data is judged to be abnormal data, alarming is carried out immediately, and when the doubtful data is judged to be doubtful data, early warning is carried out or the doubtful data is cancelled according to the prediction strategy processing.
2. An industry data processing method according to claim 1, wherein in step 1, the data is acquired by hydraulic industry equipment.
3. The industrial data processing method according to claim 2, wherein in step 1, the data is acquired by using an interactive terminal, and an anti-interference unit is arranged in the interactive terminal and used for eliminating external interference factors generated during the operation of equipment.
4. The industrial data processing method as claimed in claim 2, wherein in step 1, the data is acquired by data interface transmission, bluetooth transmission or cloud transmission.
5. The industrial data processing method as claimed in claim 3, wherein the data object is a hydraulic turbine set; the acquired data comprises temperature values of the bearing bushes of the water turbine, PT signals or pulse signals output by the water turbine, and the data of the rotating speed, the frequency, the rotating speed percentage and the vibration parameters of the generator set in the water turbine set.
6. The industrial data processing method as claimed in claim 1, wherein in step 2, when the data is diagnosed, if the data exceeds a preset standard range, the data is determined to be abnormal; and if the jitter amplitude of the data exceeds the standard jitter amplitude, judging the data to be abnormal data.
7. The industrial data processing method as claimed in claim 6, wherein when data is diagnosed, if the data is close to a preset standard range, the data is judged to be in doubt; the data is close to the preset standard range, and the difference value between the data and the preset standard range is smaller than two unit values.
8. The method as claimed in claim 7, wherein the prediction strategy is to continuously monitor the data variation trend of the suspected data item, make an early warning notification if the difference between the suspected data item and the predetermined standard range is reduced to within a unit value, and cancel the suspected determination if the difference between the suspected data item and the predetermined standard range is greater than two unit values.
9. The industry data processing method according to claim 5, wherein a human-computer interaction module is further arranged in the interaction terminal, and the human-computer interaction module is used for providing equipment information and fault query services; the human-computer interaction module is provided with a touch interaction function, a voice interaction function and a gesture interaction function.
10. A storage medium storing a computer program, wherein the computer program, when executed by a processor, implements an industrial data processing method according to any one of claims 1 to 9.
CN202111270288.0A 2021-10-29 2021-10-29 Industry data processing method and storage medium thereof Pending CN114116788A (en)

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CN202111270288.0A CN114116788A (en) 2021-10-29 2021-10-29 Industry data processing method and storage medium thereof

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Application Number Priority Date Filing Date Title
CN202111270288.0A CN114116788A (en) 2021-10-29 2021-10-29 Industry data processing method and storage medium thereof

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114466393A (en) * 2022-04-13 2022-05-10 深圳市永达电子信息股份有限公司 Rail transit vehicle-ground communication potential risk monitoring method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114466393A (en) * 2022-04-13 2022-05-10 深圳市永达电子信息股份有限公司 Rail transit vehicle-ground communication potential risk monitoring method and system
CN114466393B (en) * 2022-04-13 2022-07-12 深圳市永达电子信息股份有限公司 Rail transit vehicle-ground communication potential risk monitoring method and system

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