CN113686582A - Intelligent test system for diesel generator - Google Patents
Intelligent test system for diesel generator Download PDFInfo
- Publication number
- CN113686582A CN113686582A CN202111039526.7A CN202111039526A CN113686582A CN 113686582 A CN113686582 A CN 113686582A CN 202111039526 A CN202111039526 A CN 202111039526A CN 113686582 A CN113686582 A CN 113686582A
- Authority
- CN
- China
- Prior art keywords
- module
- load
- diesel generator
- data
- diesel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 39
- 239000001301 oxygen Substances 0.000 claims abstract description 33
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 33
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 32
- 230000007613 environmental effect Effects 0.000 claims abstract description 23
- 230000003993 interaction Effects 0.000 claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000013499 data model Methods 0.000 claims abstract description 6
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- ONUFESLQCSAYKA-UHFFFAOYSA-N iprodione Chemical compound O=C1N(C(=O)NC(C)C)CC(=O)N1C1=CC(Cl)=CC(Cl)=C1 ONUFESLQCSAYKA-UHFFFAOYSA-N 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000012549 training Methods 0.000 description 10
- 239000007789 gas Substances 0.000 description 5
- MCMNRKCIXSYSNV-UHFFFAOYSA-N Zirconium dioxide Chemical compound O=[Zr]=O MCMNRKCIXSYSNV-UHFFFAOYSA-N 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 238000003062 neural network model Methods 0.000 description 3
- 238000002485 combustion reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 150000002500 ions Chemical class 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 2
- 239000002912 waste gas Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- -1 oxygen ions Chemical class 0.000 description 1
- RVTZCBVAJQQJTK-UHFFFAOYSA-N oxygen(2-);zirconium(4+) Chemical compound [O-2].[O-2].[Zr+4] RVTZCBVAJQQJTK-UHFFFAOYSA-N 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 229910052697 platinum Inorganic materials 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 229910001928 zirconium oxide Inorganic materials 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/02—Details or accessories of testing apparatus
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING 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
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
The invention discloses an intelligent testing system of a diesel generator, which relates to the technical field of intelligent management and control systems and comprises a power supply module, a data acquisition module, a data analysis module, a human-computer 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 area to be detected; the data analysis module is used for acquiring environmental data and inputting the environmental data into the data model for analysis to obtain an environmental value; the load module is used for storing load working conditions; the man-machine interaction module is used for selecting a load working condition to complete 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 the 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 obtain each numerical value through the calculation to each monitoring data, make diesel engine's test more accurate.
Description
Technical Field
The invention relates to the technical field of intelligent management and control systems, in particular to an intelligent testing system for a diesel generator.
Background
The emergency power supply is a power guarantee in many industries, effectively ensures the continuity of power supply, ensures the safety and reliability of a power supply system, and takes an important role in the industrial field and the civil electricity field as an important emergency power supply device.
Before leaving a factory and after maintenance, the diesel generator needs to be subjected to strict function and performance tests so as to ensure the normal and reliable operation of the diesel generator set. However, because the existing diesel generator testing system is simple in structure and single in function, and the measuring mode of the diesel generator is simpler, a new technical scheme needs to be provided to test the diesel generator by more comprehensive data.
Disclosure of Invention
The invention aims to provide an intelligent testing system for a diesel generator.
The technical problem solved by the invention is as follows:
how to monitor environmental data and the interval of the diesel generator to obtain a plurality of groups of data and further obtain a more accurate test result.
The invention can be realized by the following technical scheme:
an intelligent test system for a diesel generator, comprising: the device comprises a power supply module, a data acquisition module, a data analysis module, a human-computer 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 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 on the adjacent sides; the data analysis module is used for acquiring environmental data and inputting the environmental data into the data model for analysis to obtain an 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 middle load working condition and a preset low load working condition; the man-machine interaction module is used for selecting a load working condition to complete 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 the high load environment value, the medium load environment value and the low load environment value, respectively.
Further, the man-machine interaction module is used for selecting the load working conditions specifically as follows:
when the environment value is greater than or equal to the high-load environment value, generating a first-stage adjusting instruction; when the environment value is greater than or equal to the middle load environment value and less than the high load environment value, generating a secondary regulation instruction; when the environment value is greater than or equal to the low-load environment value and less than the medium-load environment value, generating a three-level regulating instruction; when the man-machine interaction module receives a primary regulation instruction, selecting a medium-load working condition for testing, when the man-machine interaction module receives a secondary regulation instruction, selecting a low-load working condition for testing, and when the man-machine interaction module receives a tertiary regulation instruction, not selecting the load working condition, namely not testing.
Furthermore, 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 calculation unit calculates an environment value based on the environment number, specifically: by the formula
The environmental value was determined, where a0 is the air oxygen content and anFor measuring the number of diesel generators, bnThe interval is the interval of diesel generators on the adjacent sides, n is testing time, L is preset testing duration, and i is an environment 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 devices, and the quantity of the diesel generators is identified through the pattern recognition software.
Further, the interval acquisition unit is used for acquiring the interval between the diesel generators on the adjacent sides, specifically, acquiring the pictures of the diesel generators acquired by the image acquisition device, and acquiring the interval between the diesel generators on the adjacent sides through the image recognition software.
Further, the pattern recognition software includes one or more of a kirschner vision system and a visual search engine system.
Compared with the prior art, the invention has the following beneficial effects:
through setting up the 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 obtain each numerical value through the calculation to each monitoring data, make diesel engine's test more accurate.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects according to the present invention will be given with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1, an intelligent testing system for a diesel generator includes: the device comprises a power supply module, a data acquisition module, a data analysis module, a human-computer interaction module and a load module;
the power supply module is a power supply device which can be directly attached to a printed circuit board and is characterized by supplying power to an application specific integrated circuit (AS IC), 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 comprise air oxygen content, the number of the diesel generators to be detected and the interval between the adjacent diesel generators, and more specifically, the data acquisition module 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 air, optionally, the oxygen content acquisition unit can be an oxygen sensor, the oxygen sensor utilizes a ceramic sensitive element to measure oxygen potential, the corresponding oxygen concentration is calculated by a chemical equilibrium principle, the working principle of the oxygen sensor is similar to that of a dry battery, and a zirconium oxide element in the sensor plays a role similar to that of electrolyte. The basic working principle is as follows: under certain conditions, the difference of oxygen concentration between the inner side and the outer side of the zirconia is utilized to generate potential difference, and the larger the concentration difference is, the larger the potential difference is. The oxygen content in the atmosphere is 21%, the exhaust gas after the combustion of the rich mixture contains virtually no oxygen, and the exhaust gas after the combustion of the lean mixture or the exhaust gas generated by a misfire contains much more oxygen, but much less oxygen than the atmosphere. Under the catalysis of platinum at high temperature, negatively charged oxygen ions are adsorbed on the inner and outer surfaces of the zirconia sleeve. Because the oxygen in the atmosphere is more than the oxygen in the waste gas, more negative ions are adsorbed on the side, communicated with the atmosphere, of the sleeve pipe than on the side of the waste gas, the concentration difference of the ions on the two sides generates electromotive force, when the oxygen concentration on one side is low, a high voltage (0.6-1V) is generated between the electrodes of the oxygen sensor, the voltage signal is sent to an amplifier for processing, the amplifier treats the high voltage signal as a rich mixed gas, and treats the low voltage signal as a lean mixed gas.
The quantity acquisition unit is used for acquiring the quantity of the diesel generators, and in the specific implementation, the quantity acquisition unit is used for acquiring the quantity of the diesel generators, and specifically, 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 at present, the CCD is a short name of a charge coupled device (charge coupled device) and can change light into charges, store and transfer the charges, or take out the stored charges to change the voltage, the diesel generators are photographed through the image acquisition device, the quantity of the diesel generators is identified through pattern identification software, specifically, the pattern identification software comprises one or more of a kirschner vision system and a vision search engine system, wherein the pattern identification software identifies the quantity of the diesel generators specifically,
the method includes acquiring an image to be identified, specifically, the image to be identified may be an image that needs to be identified, and in the embodiment of the present invention, a diesel generator is taken as an example for detailed description.
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 extracted from the same data set, different training sets are extracted from different data sets, specifically, in order to improve the image recognition accuracy, the plurality of training sets can be established through the plurality of different data sets in advance, the initial model is trained through the training sets, and therefore the final image recognition model is obtained. In the field of identification, different data sets cannot be simply and directly merged into a single data set, since different data sets may contain the same generator picture between them, and the user cannot determine which of the same persons are contained in the different data sets. A deep neural network model can be established by a set score training method to obtain an initial model, different data sets are separately subjected to branch training, so that a trained image recognition model can be obtained, and the trained image recognition model is deployed in 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 the interval between the diesel generators on the adjacent sides, specifically, acquiring a picture of the diesel generator acquired by the image acquisition device, acquiring the interval between the diesel generators on the adjacent sides through image recognition software, training a deep neural network model in advance during specific implementation, and performing technical calculation on the interval between the diesel generators on the adjacent sides through the deep neural network model to obtain the distance between the diesel generators;
the data analysis module is used for acquiring environmental data and inputting the environmental data into the data model for analysis to obtain an environmental 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 calculation unit calculates an environment value based on the environment number, specifically:
by the formula
Determining an environmental value of a0Is the oxygen content of air, anFor measuring the number of diesel generators, bnThe interval is the interval of diesel generators on the adjacent sides, n is testing time, L is preset testing duration, and i is 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 middle load working condition and a preset low load working condition;
the preset high-load working condition, the preset medium-load working condition and the preset low-load working condition respectively correspond to a high-load environment value, a medium-load environment value and a low-load environment value, wherein the high-load environment value, the medium-load environment value and the low-load environment value are preset threshold values;
the man-machine interaction module is used for selecting load working conditions to complete testing, and specifically, the man-machine interaction module is used for selecting the load working conditions and specifically comprises the following steps:
when the environment value is greater than or equal to the high-load environment value, generating a first-stage adjusting instruction; when the environment value is greater than or equal to the middle load environment value and less than the high load environment value, generating a secondary regulation instruction; when the environment value is greater than or equal to the low-load environment value and less than the medium-load environment value, generating a three-level regulating instruction;
when the man-machine interaction module receives a primary regulation instruction, selecting a medium-load working condition for testing, when the man-machine interaction module receives a secondary regulation instruction, selecting a low-load working condition for testing, and when the man-machine interaction module receives a tertiary regulation instruction, not selecting the load working condition, namely not testing.
The data acquisition module, the data analysis module and the load module are respectively connected with the power supply module.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. An intelligent test system for a diesel generator, comprising: the device comprises a power supply module, a data acquisition module, a data analysis module, a human-computer 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 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 on the adjacent sides;
the data analysis module is used for acquiring environmental data and inputting the environmental data into the data model for analysis to obtain an 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 middle load working condition and a preset low load working condition;
the man-machine interaction module is used for selecting a load working condition to complete the test;
the data acquisition module, the data analysis module and the load module are respectively connected with the power supply module.
2. The intelligent test system of the diesel generator according to claim 1, wherein the preset high load condition, the preset medium load condition and the preset low load condition correspond to the high load environment value, the medium load environment value and the low load environment value, respectively.
3. The intelligent test system for the diesel generator according to claim 2, wherein the human-computer interaction module is used for selecting the load working conditions specifically as follows:
when the environment value is greater than or equal to the high-load environment value, generating a first-stage adjusting instruction; when the environment value is greater than or equal to the middle load environment value and less than the high load environment value, generating a secondary regulation instruction; when the environment value is greater than or equal to the low-load environment value and less than the medium-load environment value, generating a three-level regulating instruction;
when the man-machine interaction module receives a primary regulation instruction, selecting a medium-load working condition for testing, when the man-machine interaction module receives a secondary regulation instruction, selecting a low-load working condition for testing, and when the man-machine interaction module receives a tertiary regulation instruction, not selecting the load working condition, namely not testing.
4. The intelligent test system for the 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 calculation unit calculates an environment value based on the environment number, specifically:
by the formula
Determining an environmental value of a0Is the oxygen content of air, anFor measuring the number of diesel generators, bnThe interval is the interval of diesel generators on the adjacent sides, n is testing time, L is preset testing duration, and i is an environment value;
the output unit is used for outputting the environment value.
5. The intelligent testing system of the diesel generator according to claim 4, 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.
6. The intelligent testing system for the diesel generator according to claim 5, wherein the number acquisition unit is used for acquiring the number of the diesel generator, and specifically, at least one image acquisition device is arranged, the diesel generator is photographed through the image acquisition device, and the number of the diesel generator is recognized through the image recognition software.
7. The diesel generator intelligent test system as set forth in claim 6, wherein the interval acquisition unit is configured to acquire an interval between the diesel generators on adjacent sides, specifically, acquire a picture of the diesel generator acquired by the image acquisition device, and acquire the interval between the diesel generators on adjacent sides through the pattern recognition software.
8. The intelligent diesel generator testing system of claim 7, wherein the pattern recognition software comprises one or more of a kirschner vision system and a visual search engine system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111039526.7A CN113686582B (en) | 2021-09-06 | 2021-09-06 | Intelligent test system for diesel generator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111039526.7A CN113686582B (en) | 2021-09-06 | 2021-09-06 | Intelligent test system for diesel generator |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113686582A true CN113686582A (en) | 2021-11-23 |
| CN113686582B CN113686582B (en) | 2024-03-08 |
Family
ID=78585378
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111039526.7A Active CN113686582B (en) | 2021-09-06 | 2021-09-06 | Intelligent test system for diesel generator |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113686582B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101685138A (en) * | 2008-09-26 | 2010-03-31 | 浙江师范大学 | Method for testing electrical property of AC generating set |
| 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 |
| US20130283289A1 (en) * | 2012-04-19 | 2013-10-24 | International Business Machines Corporation | Environmentally aware load-balancing |
| KR20140084434A (en) * | 2012-12-26 | 2014-07-07 | 두산인프라코어 주식회사 | Remote control system, method for controlling operation efficiency in the system |
| CN108613703A (en) * | 2018-06-19 | 2018-10-02 | 河北旭飞科技有限公司 | Multiple types data monitoring system and method |
| CN109113804A (en) * | 2017-06-22 | 2019-01-01 | 通用电气公司 | Engine and motor health monitoring method and gas-turbine unit |
| CN208588810U (en) * | 2018-08-15 | 2019-03-08 | 福建宁德核电有限公司 | A kind of nuclear power station emergency diesel dynamo monitoring device and system |
| CN109519311A (en) * | 2018-10-29 | 2019-03-26 | 合肥康尔信电力系统有限公司 | A kind of energy-saving and environment-friendly diesel-driven generator |
| CN110320047A (en) * | 2019-06-25 | 2019-10-11 | 广州供电局有限公司 | Diesel generating set test macro |
| 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 |
-
2021
- 2021-09-06 CN CN202111039526.7A patent/CN113686582B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101685138A (en) * | 2008-09-26 | 2010-03-31 | 浙江师范大学 | Method for testing electrical property of AC generating set |
| 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 |
| US20130283289A1 (en) * | 2012-04-19 | 2013-10-24 | International Business Machines Corporation | Environmentally aware load-balancing |
| 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 |
| CN108613703A (en) * | 2018-06-19 | 2018-10-02 | 河北旭飞科技有限公司 | Multiple types data monitoring system and method |
| CN208588810U (en) * | 2018-08-15 | 2019-03-08 | 福建宁德核电有限公司 | A kind of nuclear power station emergency diesel dynamo monitoring device and system |
| 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 |
| CN109519311A (en) * | 2018-10-29 | 2019-03-26 | 合肥康尔信电力系统有限公司 | A kind of energy-saving and environment-friendly diesel-driven generator |
| CN110320047A (en) * | 2019-06-25 | 2019-10-11 | 广州供电局有限公司 | Diesel generating set test macro |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113686582B (en) | 2024-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2008286781A (en) | Device, method and program for detecting charged state of storage battery | |
| CN106656035B (en) | A kind of photovoltaic plant fault detection method | |
| CN106030082A (en) | Control system and control method for internal combustion engine | |
| CN207819856U (en) | The scanning of IV characteristic curves and the parameter identification system of a kind of photovoltaic array | |
| Lajara et al. | Predicting the batteries' state of health in wireless sensor networks applications | |
| CN108519558A (en) | A kind of detection method, controller and the automobile of power battery analysis lithium | |
| CN117314397B (en) | Safety inspection method based on bridge construction, electronic equipment and storage medium | |
| CN109870650A (en) | Battery cell monitoring method and system | |
| CN109945977B (en) | Thermal fault diagnosis method and system for dry-type transformer | |
| CN106059041A (en) | Detection and management system for wind/photovoltaic/energy storage data | |
| CN112433091A (en) | Real-time detection system for power consumption of chip | |
| ITRM910176A1 (en) | METHOD AND DEVICE FOR THE ESTIMATE OF THE STATE OF CHARGE OF ELECTROCHEMICAL ACCUMULATORS AND FOR THE CONTROL OF THE PLANTS THAT USE THEM | |
| CN104089656A (en) | Storage yard coal spontaneous combustion detection method and device | |
| CN113686582A (en) | Intelligent test system for diesel generator | |
| CN106603002A (en) | Photovoltaic power station fault detection system | |
| CN114544513A (en) | Full-spectrum water quality monitoring system based on solar power supply | |
| CN104253586B (en) | A kind of solar panel electric parameter on-line measurement evaluating apparatus and method | |
| CN114859236B (en) | Battery side voltage testing method and device, electronic equipment and storage medium | |
| CN117117983A (en) | Thermal power plant peak regulation management method and system combining power distribution network requirements | |
| CN116433029A (en) | Power operation risk assessment method, system, equipment and storage medium | |
| CN109830981A (en) | A kind of the photovoltaic plant management system and its control method of family grade | |
| CN113363979B (en) | Non-contact power load decomposition sensing method and system | |
| CN115200715A (en) | Cable connector matrix type infrared temperature measurement analysis and control linkage method and system | |
| CN117764416B (en) | Urban carbon discharge monitoring system and method based on electric power big data | |
| Hussein | Design and implementation of a cost effective gas pollution detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |