CN113686582B - Intelligent test system for diesel generator - Google Patents

Intelligent test system for diesel generator Download PDF

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Publication number
CN113686582B
CN113686582B CN202111039526.7A CN202111039526A CN113686582B CN 113686582 B CN113686582 B CN 113686582B CN 202111039526 A CN202111039526 A CN 202111039526A CN 113686582 B CN113686582 B CN 113686582B
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module
data
load
diesel generator
diesel
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CN113686582A (en
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杜永辉
殷熊
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HEFEI CALSION ELECTRIC SYSTEM CO Ltd
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HEFEI CALSION ELECTRIC SYSTEM CO Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00Testing of engines
    • G01M15/02Details or accessories of testing apparatus
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Eletrric Generators (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The invention discloses an intelligent testing system of a diesel generator, which relates to the technical field of intelligent control systems and comprises a power module, a data acquisition module, a data analysis module, a man-machine interaction module and a load module; the power supply module is used for providing a power supply of the diesel generator to be tested; the data acquisition module is used for acquiring environmental data in a diesel generator region to be detected; the data analysis module is used for acquiring environment data, inputting the environment data into the data model for analysis to obtain an environment value; the load module is used for storing load working conditions; the man-machine interaction module is used for selecting a load working condition and completing the test; the data acquisition module, the data analysis module and the load module are respectively connected with the power supply module. Through setting up data acquisition module, monitor the environment in the diesel generator region, obtain air oxygen content, survey diesel generator quantity and adjacent side diesel generator interval to through the calculation to each monitoring data, the test of messenger's diesel engine is more accurate.

Description

Intelligent test system for diesel generator
Technical Field
The invention relates to the technical field of intelligent control systems, in particular to an intelligent testing system of a diesel generator.
Background
The emergency power supply is a power guarantee of a plurality of industries, effectively ensures the continuity of power supply, ensures the safety and reliability of a power supply system, and plays an important role in the industrial field and the civil electricity field when the diesel generator is used as an important emergency power supply device.
The diesel generator needs to be subjected to strict function and performance tests before delivery and after maintenance so as to ensure that the diesel generator set works normally and reliably. However, the existing diesel generator test system has a simple structure and a single function, and the measurement mode of the diesel generator is simpler, so that a new technical scheme is required to be provided for testing the diesel generator by more comprehensive data.
Disclosure of Invention
The invention aims to provide an intelligent test system for a diesel generator.
The technical problems solved by the invention are as follows:
how to monitor environmental data of the diesel generator and monitor intervals of the diesel generator to obtain multiple groups of data, and further obtain more accurate test results.
The invention can be realized by the following technical scheme:
an intelligent test system for a diesel generator, comprising: the system comprises a power supply module, a data acquisition module, a data analysis module, a man-machine interaction module and a load module;
the power supply module is used for providing a power supply of the diesel generator to be tested;
the data acquisition module is used for acquiring environmental data in a diesel generator region to be detected, wherein the environmental data comprises air oxygen content, the number of the diesel generators to be detected and the interval between the diesel generators at adjacent sides; the data analysis module is used for acquiring environment data, inputting the environment data into the data model for analysis to obtain an environment value; the load module is used for storing load working conditions, wherein the load working conditions comprise a preset high load working condition, a preset medium load working condition and a preset low load working condition; the man-machine interaction module is used for selecting a load working condition and completing the test; the data acquisition module, the data analysis module and the load module are respectively connected with the power supply module.
Further, the preset high load condition, the preset medium load condition and the preset low load condition correspond to a high load environment value, a medium load environment value and a low load environment value respectively.
Further, the man-machine interaction module is used for selecting load working conditions specifically as follows:
when the environment value is greater than or equal to the high-load environment value, generating a first-level adjusting instruction; when the environment value is larger than or equal to the medium load environment value and smaller than the high load environment value, generating a second-level adjusting instruction; when the environment value is larger than or equal to the low-load environment value and smaller than the medium-load environment value, generating a three-level adjusting instruction; when the man-machine interaction module receives the first-level adjusting instruction, the medium-load working condition is selected for testing, when the man-machine interaction module receives the second-level adjusting instruction, the low-load working condition is selected for testing, and when the man-machine interaction module receives the third-level adjusting instruction, the medium-load working condition is not selected for testing.
Further, the data model comprises a storage unit, a calculation unit and an output unit;the storage unit is used for storing environment data, and the computing unit is used for computing based on the environment data to obtain an environment value, and the environment value is specifically: by the formulaObtaining an environmental value, wherein a0 is the oxygen content of air, a n B for measuring the number of diesel generators n For the interval between the diesel generators at the adjacent sides, n is the test time, L is the preset test duration, and i is the environmental value; the output unit is used for outputting the environment value.
Further, the data acquisition module comprises an oxygen content acquisition unit, a quantity acquisition unit and an interval acquisition unit;
the oxygen content acquisition unit is used for acquiring the oxygen content of air, the quantity acquisition unit is used for acquiring the quantity of the diesel generators, and the interval acquisition unit is used for acquiring the interval between the diesel generators on the adjacent sides.
Further, the quantity acquisition unit is used for acquiring the quantity of the diesel generators, specifically, at least one image acquisition device is arranged, the diesel generators are photographed through the image acquisition device, and the quantity of the diesel generators is identified through pattern recognition software.
Further, the interval acquisition unit is used for acquiring intervals of the diesel generators on the adjacent sides, specifically, acquiring photos of the diesel generators acquired by the image acquisition device, and acquiring the intervals of the diesel generators on the adjacent sides through pattern recognition software.
Further, the pattern recognition software includes one or more of a ken vision system and a visual search engine system.
Compared with the prior art, the invention has the following beneficial effects:
through setting up data acquisition module, monitor the environment in the diesel generator region, obtain air oxygen content, survey diesel generator quantity and adjacent side diesel generator interval to through the calculation to each monitoring data, the test of messenger's diesel engine is more accurate.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention for achieving the preset aim, the following detailed description is given below of the specific implementation, structure, characteristics and effects according to the invention with reference to the attached drawings and the preferred embodiment.
Referring to fig. 1, an intelligent testing system for a diesel generator includes: the system comprises a power supply module, a data acquisition module, a data analysis module, a man-machine interaction module and a load module;
the power supply module is used for providing power for the diesel generator to be tested, and is a power supply device which can be directly mounted on a printed circuit board, and is characterized in that the power supply module can provide power for an application specific integrated circuit (AS I C), a Digital Signal Processor (DSP), a microprocessor, a memory, a Field Programmable Gate Array (FPGA) and other digital or analog loads;
the data acquisition module is used for acquiring environmental data in a diesel generator area to be detected, wherein the environmental data comprises air oxygen content, the number of the diesel generators to be detected and the interval between the diesel generators at the adjacent sides, and more specifically comprises an oxygen content acquisition unit, a number acquisition unit and an interval acquisition unit;
the oxygen content acquisition unit is used for acquiring the oxygen content of the air, and optionally, the oxygen content acquisition unit can be an oxygen sensor, the oxygen sensor measures the oxygen potential by utilizing a ceramic sensitive element, the corresponding oxygen concentration is calculated by a chemical balance principle, the working principle of the oxygen sensor is similar to that of a dry battery, and zirconia element in the sensor plays a role similar to that of electrolyte. The basic working principle is as follows: under certain conditions, the difference in oxygen concentration between the inside and outside of the zirconia is used to generate a potential difference, and the larger the difference in concentration is, the larger the potential difference is. The oxygen content in the atmosphere is 21%, the exhaust gas after rich combustion is practically free of oxygen, and the exhaust gas generated after lean combustion or the exhaust gas generated by misfire contains more oxygen but still much less oxygen than the atmosphere. Negatively charged oxygen ions are adsorbed on the inside and outside surfaces of the zirconia casing under the catalysis of platinum at high temperature. Since the oxygen in the atmosphere is more than the oxygen in the exhaust gas, the negative ions are adsorbed more on the side of the sleeve, which is communicated with the atmosphere, than on the side of the exhaust gas, the concentration difference of the ions on both sides generates electromotive force, when the oxygen concentration on one side is low, a high voltage (0.6-1V) is generated between the oxygen sensor electrodes, the voltage signal is sent to the amplifier for processing, the amplifier regards the high voltage signal as rich mixture, and the low voltage signal as lean mixture.
The quantity acquisition unit is used for acquiring the quantity of the diesel generators, and in particular, at least one image acquisition device is arranged, wherein the image acquisition device can be a CCD camera, the generation of images is mainly from the CCD camera, the CCD is a short name of a charge coupled device (charge coupled device), the CCD can change light into electric charges and store and transfer the electric charges, the stored electric charges can be taken out to change the voltage, the diesel generators are photographed through the image acquisition device, the quantity of the diesel generators is identified through pattern recognition software, the pattern recognition software comprises one or more of a Crohn vision system and a vision search engine system, the quantity of the diesel generators is identified through the pattern recognition software,
the image to be identified is obtained, specifically, the image to be identified may be an image to be identified, and in the embodiment of the present invention, a diesel generator is taken as an example to describe in detail.
The method comprises the steps of obtaining a pre-established image recognition model, wherein the image recognition model is obtained by training an initial model through a plurality of training sets, the initial model is a recognition model established based on a branch training algorithm, the same training set is obtained by extracting from the same data set, different training sets are obtained by extracting from different data sets, specifically, in order to improve the image recognition accuracy, a plurality of training sets can be established through a plurality of different data sets in advance, and the initial model is trained through the training sets, so that a final image recognition model is obtained. In the field of identification, different data sets cannot be simply and directly combined into a single data set, since the different data sets may contain the same generator picture, and the user cannot determine which of the same people the different data sets contain. The method can build a deep neural network model by integrating the score training method to obtain an initial model, and separate different data sets for branch training so as to obtain a trained image recognition model, and deploy the trained image recognition model into an application scene.
And identifying the image to be identified by using the image identification model to obtain an identification result. The interval acquisition unit is used for acquiring intervals of the diesel generators on the adjacent sides, specifically, acquiring photos of the diesel generators acquired by the image acquisition device, acquiring the intervals of the diesel generators on the adjacent sides through pattern recognition software, and training a deep neural network model in advance when the method is implemented, and performing technical calculation on the intervals between the diesel generators on the adjacent sides through the deep neural network model to obtain the distance between the two diesel generators;
the data analysis module is used for acquiring environment data, inputting the environment data into the data model for analysis to obtain an environment value; the data analysis module comprises a storage unit, a calculation unit and an output unit;
the storage unit is used for storing environment data, and the computing unit is used for computing based on the environment data to obtain an environment value, and the environment value is specifically:
by the formulaObtaining an environmental value, wherein a 0 A is the oxygen content of the air n B for measuring the number of diesel generators n For the interval between the diesel generators at the adjacent sides, n is the test time, L is the preset test duration, and i is the environmental value;
the load module is used for storing load working conditions, wherein the load working conditions comprise a preset high load working condition, a preset medium load working condition and a preset low load working condition;
the method comprises the steps of presetting a high load working condition, presetting a middle load working condition and presetting a low load working condition to correspond to a high load environment value, a middle load environment value and a low load environment value respectively, wherein the high load environment value, the middle load environment value and the low load environment value are all preset thresholds;
the man-machine interaction module is used for selecting load working conditions and completing testing, and the man-machine interaction module is used for selecting the load working conditions and comprises the following steps:
when the environment value is greater than or equal to the high-load environment value, generating a first-level adjusting instruction; when the environment value is larger than or equal to the medium load environment value and smaller than the high load environment value, generating a second-level adjusting instruction; when the environment value is larger than or equal to the low-load environment value and smaller than the medium-load environment value, generating a three-level adjusting instruction;
when the man-machine interaction module receives the first-level adjusting instruction, the medium-load working condition is selected for testing, when the man-machine interaction module receives the second-level adjusting instruction, the low-load working condition is selected for testing, and when the man-machine interaction module receives the third-level adjusting instruction, the medium-load working condition is not selected for testing.
The data acquisition module, the data analysis module and the load module are respectively connected with the power supply module.
The present invention is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present invention.

Claims (6)

1. An intelligent test system for a diesel generator, comprising: the system comprises a power supply module, a data acquisition module, a data analysis module, a man-machine interaction module and a load module;
the power supply module is used for providing a power supply of the diesel generator to be tested;
the data acquisition module is used for acquiring environmental data in a diesel generator region to be detected, wherein the environmental data comprises air oxygen content, the number of the diesel generators to be detected and the interval between the diesel generators at adjacent sides;
the data analysis module is used for acquiring environment data, inputting the environment data into the data model for analysis to obtain an environment value;
the load module is used for storing load working conditions, wherein the load working conditions comprise a preset high load working condition, a preset medium load working condition and a preset low load working condition;
the man-machine interaction module is used for selecting a load working condition and completing the test;
the data acquisition module, the data analysis module and the load module are respectively connected with the power supply module;
the preset high load working condition, the preset middle load working condition and the preset low load working condition respectively correspond to the high load environment value, the middle load environment value and the low load environment value;
the man-machine interaction module is used for selecting load working conditions specifically as follows:
when the environment value is greater than or equal to the high-load environment value, generating a first-level adjusting instruction; when the environment value is larger than or equal to the medium load environment value and smaller than the high load environment value, generating a second-level adjusting instruction; when the environment value is larger than or equal to the low-load environment value and smaller than the medium-load environment value, generating a three-level adjusting instruction;
when the man-machine interaction module receives the first-level adjusting instruction, the medium-load working condition is selected for testing, when the man-machine interaction module receives the second-level adjusting instruction, the low-load working condition is selected for testing, and when the man-machine interaction module receives the third-level adjusting instruction, the medium-load working condition is not selected for testing.
2. The intelligent test system of a diesel generator according to claim 1, wherein the data model comprises a storage unit, a calculation unit and an output unit;
the storage unit is used for storing environment data, and the computing unit is used for computing based on the environment data to obtain an environment value, and the environment value is specifically:
by the formulaObtaining an environmental value, wherein a 0 A is the oxygen content of the air n B for measuring the number of diesel generators n For the interval between the diesel generators at the adjacent sides, n is the test time, L is the preset test duration, and i is the environmental value;
the output unit is used for outputting the environment value.
3. The intelligent test system of a diesel generator according to claim 2, wherein the data acquisition module comprises an oxygen content acquisition unit, a quantity acquisition unit and an interval acquisition unit;
the oxygen content acquisition unit is used for acquiring the oxygen content of air, the quantity acquisition unit is used for acquiring the quantity of the diesel generators, and the interval acquisition unit is used for acquiring the interval between the diesel generators on the adjacent sides.
4. The intelligent test system for the diesel generators according to claim 3, wherein the number acquisition unit is used for acquiring the number of the diesel generators, specifically, at least one image acquisition device is arranged, the diesel generators are photographed through the image acquisition device, and the number of the diesel generators is identified through pattern recognition software.
5. The intelligent testing system of the diesel generator according to claim 4, wherein the interval acquisition unit is used for acquiring the interval of the diesel generator at the adjacent side, specifically, acquiring the picture of the diesel generator acquired by the image acquisition device, and acquiring the interval of the diesel generator at the adjacent side through pattern recognition software.
6. The intelligent test system of a diesel generator of claim 5, wherein the pattern recognition software comprises one or more of a ken vision system and a visual search engine system.
CN202111039526.7A 2021-09-06 2021-09-06 Intelligent test system for diesel generator Active CN113686582B (en)

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CN111189205A (en) * 2018-10-28 2020-05-22 江门市精创表面处理有限公司 On-off control system of new fan
CN112462260A (en) * 2020-11-24 2021-03-09 山西中云智谷数据科技有限责任公司 System and method for testing on-load performance of diesel generator

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CN201708553U (en) * 2010-05-07 2011-01-12 中国石油化工集团公司 Electric drilling machine load peak-shaving device
KR20140084434A (en) * 2012-12-26 2014-07-07 두산인프라코어 주식회사 Remote control system, method for controlling operation efficiency in the system
CN109113804A (en) * 2017-06-22 2019-01-01 通用电气公司 Engine and motor health monitoring method and gas-turbine unit
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