CN107843295A - A kind of biogas engineering big data plateform system and method - Google Patents
A kind of biogas engineering big data plateform system and method Download PDFInfo
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- CN107843295A CN107843295A CN201711321070.7A CN201711321070A CN107843295A CN 107843295 A CN107843295 A CN 107843295A CN 201711321070 A CN201711321070 A CN 201711321070A CN 107843295 A CN107843295 A CN 107843295A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000000855 fermentation Methods 0.000 claims abstract description 27
- 230000004151 fermentation Effects 0.000 claims abstract description 27
- 230000005540 biological transmission Effects 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 22
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 16
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 14
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims abstract description 7
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 7
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 7
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims description 18
- 238000013461 design Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 16
- 238000003745 diagnosis Methods 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 4
- 238000009413 insulation Methods 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 238000011160 research Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 2
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000005265 energy consumption Methods 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000005457 optimization Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 3
- 238000011156 evaluation Methods 0.000 abstract description 3
- 238000007405 data analysis Methods 0.000 description 5
- 238000007726 management method Methods 0.000 description 5
- 239000007787 solid Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000009412 basement excavation Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000013075 data extraction Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 241000790917 Dioxys <bee> Species 0.000 description 1
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 239000005864 Sulphur Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 125000004435 hydrogen atom Chemical class [H]* 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
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Classifications
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- 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
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Abstract
A kind of biogas engineering big data plateform system of the present invention belongs to biogas engineering field with method;Including data acquisition module, data transmission module and data processing module;The data acquisition module connects data processing module by data transmission module;The data acquisition module includes temperature sensor, pressure sensor, pH value sensor, methane transducer, carbon dioxide sensor, hydrogen sulfide sensor and weight sensor, data transmission module includes amplitude modulation double side band circuit, the data processing module includes user base station unit and server unit, the user base station unit is PC, user base station element number is at least one, and the server unit is server;Parameter regularity of the invention by summarizing biogas fermentation, the intelligent monitoring of lifting biogas engineering, status early warning and the ability from processing, instruct fermentation technology optimization, reduction fermentation energy consumption, yeastiness early warning and operational effect evaluation etc..
Description
Technical field
A kind of biogas engineering big data plateform system of the present invention belongs to biogas engineering field with method.
Background technology
In recent years, China's input substantial contribution is dirty for biogas technology processing feces of livestock and poultry, industrial organic waste water, life
The engineering constructions such as water, organic garbage of city, household biogas, cell joint household biogas engineering, big-and-middle-sized biogas engineering etc. are formd
The new frame of joint development.
According to relevant department's incomplete statistics, the built all types of biogas engineerings in China more than 100000 at.Biogas work
Journey has built up status monitoring historical data that is huge, having value during its extensive development, and one complete
The data volume up to 100,000,000 that the large-sized biogas engineering of weather operation gathers every year.Involved data information gauge mould is huge
It is big to can not be analyzed and handled by human brain or even main software instrument.These Condition Monitoring Datas are often stored in difference
Computer or relational database in, data sharing and critical-path analysis can not be realized, its potential value is difficult to obtain fully
Utilization.Meanwhile traditional data analysis is increasingly difficult to meet the needs of biogas engineering, much urgently to be resolved hurrily ask is still suffered from
Topic, mainly comprising the following aspects:
1st, follow-up management lacks qualified technical personnel, and service network imperfection, service mechanism is unsound, and Information Sharing is too late
When;
2nd, operational management is extensive, lacks the operational management more to become more meticulous;
3rd, biogas job information flow is unsound, and enterprise, expert and government lack effective communication;
4th, security evaluation imperfection of biogas engineering etc..
The content of the invention
In view of the above-mentioned problems, it is an object of the invention to provide a kind of biogas engineering big data plateform system and method.
The object of the present invention is achieved like this:
A kind of biogas engineering big data plateform system, including data acquisition module, data transmission module and data processing mould
Block;The data acquisition module connects data processing module by data transmission module;The data acquisition module includes temperature
Sensor, pressure sensor, pH value sensor, methane transducer, carbon dioxide sensor, hydrogen sulfide sensor and weight sensing
Device, data transmission module include amplitude modulation double side band circuit, and the data processing module includes user base station unit and server list
Member, the user base station unit are PC, and user base station element number is at least one, and the server unit is server,
User base station unit passes through wireless connection service device unit.
Further, a kind of biogas engineering big data plateform system, the amplitude modulation double side band circuit include multiplier
MC1496, resistance R1, resistance R2, resistance R3, resistance R4, resistance R5, resistance R6, resistance R7, resistance R8, resistance R9, resistance
R10, resistance R11, resistance R12, electric capacity C1, electric capacity C2, electric capacity C3, electric capacity C4 and electric capacity C5;The multiplier MC1496 has 1,
2nd, 3,4,5,7,8,10,12 and 14 pin, the pin 4 connect resistance R6, electric capacity C3 and resistance R8, the resistance R6 point respectively
Not Lian Jie electric capacity C3 and resistance R7, the electric capacity C3 pass through resistance R8, resistance R9, resistance R10 and electric capacity C5 connection end point UX, institute
State resistance R7 and electric capacity is passed through by electric capacity C5 connection end points UX, the pin 10 by electric capacity C5 connection end points UX, the pin 1
C4 connection end points UC, the pin 8 connect resistance R11, resistance R12, electric capacity C1 and resistance R2, the resistance R11 connections respectively
Electric capacity C4, the resistance R12 connections ground wire, the electric capacity C1 connections ground wire, the pin 6 connect resistance R3, the resistance R3
Resistance R2, end points+12V and resistance R4, the pin 12 are connected respectively connects resistance R4 and electric capacity C2, the capacitance connection respectively
End points UO, the pin 2 are divided by resistance R1 connections pin 3, the pin 5 by resistance R5 connection ground wires, the pin 14
Lian Jie not resistance R9 and end points -8V.
A kind of method for the biogas engineering big data realized on a kind of biogas engineering big data plateform system, including
Following steps:
Step a, by the running state parameter of data collecting module collected biogas engineering, including temperature, pressure, pH value,
The data parameters of solid content, factor of created gase and biogas composition;
Step b, the data of data collecting module collected are transferred to user base station unit by data transmission module;
Step c, by Field Research and test, the process design parameter of biogas engineering is manually input to user base station list
Member, process design parameter are set including project scale, the form of pretreatment, fermentation form, the specification of fermentation reactor, insulation
Meter and input and output material form;
Step d, user base station unit by running state parameter and process design parameter by GPRS wireless networks in real time or
Person's timing transmission is to server unit;
Step e, server unit receives running state parameter and process design parameter, using DPS to collecting original number
According to carrying out preliminary editor, arrangement, classification, merger, rejecting abnormalities data obtain accurate data resource and are stored in memory working as
In;
Step f, when the data accumulation in memory is to threshold value, analysis calculating is carried out to data parameters, by big
The basic data analysis of amount, summarizes the parameter regularity and Analysis on Fault Diagnosis data of biogas fermentation, and by the biogas fermentation of summary
Parameter regularity and Analysis on Fault Diagnosis data pass user base station unit back.
Beneficial effect:
The invention provides a kind of biogas engineering big data plateform system and method, specific advantage are as follows:
Apparatus of the present invention use data acquisition module, data transmission module and data processing module;The data acquisition module
Block connects data processing module by data transmission module;The data acquisition module include temperature sensor, pressure sensor,
PH value sensor, methane transducer, carbon dioxide sensor, hydrogen sulfide sensor and weight sensor, data transmission module bag
Amplitude modulation double side band circuit is included, the data processing module includes user base station unit and server unit, the user base station list
Member is PC, and user base station element number is at least one, and the server unit is server, and user base station unit passes through nothing
Line connection server unit;The present invention is simple in construction, easily operated, realizes a kind of the hard of biogas engineering big data plateform system
Part equipment;
The inventive method by substantial amounts of data basis, can lead to storage and management in the data set of a large amount of biogas engineerings
Cross and overall process data are carried out with multi-method excavation and analysis, summarize the parameter regularity of biogas fermentation, lift biogas engineering intelligently prison
Control, status early warning and the ability from processing, instruct fermentation technology optimization, reduce fermentation energy consumption, yeastiness early warning and operation effect
Fruit is evaluated.Realize to future trend deeper into, more accurately analysis and prediction, the fortune of biogas engineering safety economy is adapted to this
Capable requirement, the efficient stable operation, economy and security for biogas engineering are significant.
Brief description of the drawings
Fig. 1 is a kind of biogas engineering big data plateform system structure diagram.
Fig. 2 is amplitude modulation double side band circuit diagram.
Fig. 3 is a kind of biogas engineering big data plateform system functional diagram.
In figure:11 temperature sensors, 12 pressure sensors, 13PH values sensor, 14 methane transducers, 15 carbon dioxide pass
Sensor, 16 hydrogen sulfide sensors, 17 weight sensors, 21 amplitude modulation double side band circuits, 31 user base station units, 32 server lists
Member.
Embodiment
The specific embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
Embodiment one
A kind of biogas engineering big data plateform system, as shown in figure 1, including data acquisition module, data transmission module and
Data processing module;The data acquisition module connects data processing module by data transmission module;The data acquisition module
Block includes temperature sensor 11, pressure sensor 12, pH value sensor 13, methane transducer 14, carbon dioxide sensor 15, sulphur
Changing hydrogen sensor 16 and weight sensor 17, data transmission module includes amplitude modulation double side band circuit 21, the data processing module
Including user base station unit 31 and server unit 32, the user base station unit 31 is PC, the quantity of user base station unit 31
Minimum is one, and the server unit 32 is server, and user base station unit 31 passes through wireless connection service device unit 32.
Operation principle:Pass through temperature sensor 11, pressure sensor 12, pH value sensor 13, methane transducer 14, dioxy
Change carbon sensor 15, hydrogen sulfide sensor 16 and weight sensor 17 gather temperature in biogas fermentation in real time, pressure, pH value,
Solid content after methane content, carbon dioxide content, hydrogen sulfide content and fermentation, transmitted by data transmission module to user
Base station unit 31 temporarily stores, and the minimum number of user base station unit 31 is one, and then each user base station unit 31 passes through nothing
Line is transmitted data information transfer to server unit 32, after server process, passes analysis result back user base station list
Member 31, facilitates user to check at any time, understands fermentating law and fault message, is advantageous to preferably grasp fermentation information and in time place
Reason problem.
Embodiment two
Specifically, a kind of biogas engineering big data plateform system, as shown in Fig. 2 the amplitude modulation double side band circuit 21
Including multiplier MC1496, resistance R1, resistance R2, resistance R3, resistance R4, resistance R5, resistance R6, resistance R7, resistance R8, resistance
R9, resistance R10, resistance R11, resistance R12, electric capacity C1, electric capacity C2, electric capacity C3, electric capacity C4 and electric capacity C5;Resistance R1 values are 1k
Ω, resistance R2 value are 1k Ω, and resistance R3 values are 3.3k Ω, and resistance R4 values are 3.3k Ω, and resistance R5 values are 680k Ω, resistance R6 values
For 1k Ω, resistance R7 values are 1k Ω, and resistance R8 values are 750 Ω, and resistance R9 values are 47K Ω, and resistance R10 values are 750 Ω, resistance
R11 values are 51 Ω, and resistance R12 values are 1k Ω, and electric capacity C1 values 0.1 μ F, electric capacity C2 value are 0.1 μ F, and electric capacity C3 values are 20 μ F, electric capacity
C4 values are 0.1 μ F, and electric capacity C5 values are 20 μ F;The multiplier MC1496 has 1,2,3,4,5,7,8,10,12 and 14 pins, described
Pin 4 connects resistance R6, electric capacity C3 respectively and resistance R8, the resistance R6 connect electric capacity C3 and resistance R7, the electric capacity respectively
C3 by resistance R8, resistance R9, resistance R10 and electric capacity C5 connection end points UX, the resistance R7 by electric capacity C5 connection end point UX,
The pin 1 is connected respectively by electric capacity C5 connection end points UX, the pin 10 by electric capacity C4 connection end points UC, the pin 8
Connecting resistance R11, resistance R12, electric capacity C1 and resistance R2, the resistance R11 connection electric capacity C4, the resistance R12 connections ground wire, institute
Electric capacity C1 connection ground wires are stated, the pin 6 connects resistance R3, the resistance R3 and connects resistance R2, end points+12V and resistance respectively
R4, the pin 12 connect resistance R4 and electric capacity C2, the capacitance connection end points UO respectively, and the pin 2 is connected by resistance R1
Adapter pin 3, the pin 5 connect resistance R9 and end points -8V respectively by resistance R5 connection ground wires, the pin 14.
Embodiment three
A kind of method for the biogas engineering big data realized on a kind of biogas engineering big data plateform system, including
Following steps:
Step a, by the running state parameter of data collecting module collected biogas engineering, including temperature, pressure, pH value,
The data parameters of solid content, factor of created gase and biogas composition;
Step b, the data of data collecting module collected are transferred to user base station unit 31 by data transmission module;
Step c, by Field Research and test, the process design parameter of biogas engineering is manually input to user base station list
Member 31, process design parameter include project scale, the form of pretreatment, fermentation form, the specification of fermentation reactor, insulation
Design and input and output material form;
Step d, user base station unit 31 is real-time by GPRS wireless networks by running state parameter and process design parameter
Or timing transmission is to server unit 32;
Step e, server unit 32 receives running state parameter and process design parameter, original to collecting using DPS
Data carry out preliminary editor, arrangement, classification, merger, rejecting abnormalities data, obtain accurate data resource and are stored in memory
It is central;
Step f, when the data accumulation in memory is to threshold value, analysis calculating is carried out to data parameters, by big
The basic data analysis of amount, summarizes the parameter regularity and Analysis on Fault Diagnosis data of biogas fermentation, and by the biogas fermentation of summary
Parameter regularity and Analysis on Fault Diagnosis data pass user base station unit 31 back.
Embodiment four
The present invention combines biogas production environment and engineering process, on the basis of the architectural framework with preferred big data is analyzed,
By the control technology depth integration such as the intelligent monitoring of big data analytical technology and biogas engineering, energy consumption analysis and status early warning, shape
Into more excellent biogas engineering technique and monitoring strategies, utilization rate, information sharing and the data of biogas engineering service data are improved
Analysis ability, a collection storage, the overall process biogas engineering operation big data platform of collection and analysis are built, maximizes excavation fortune
The hiding rule for the data accumulated in row management, the process optimization, energy consumption analysis, status early warning and synthesis for carrying out biogas engineering are commented
The application studies such as valency, it can ensure that biogas engineering efficient stable is run, better services are imitated in the economic benefit of biogas engineering and environmental protection
Benefit.
The present invention is functionally divided into 3 parts:Data acquisition, data calculate, data, services.
1. data acquisition mainly includes operational parameter data and structural parameters data
Operational factor:Refer to the running state parameter of biogas engineering, including temperature, pressure, pH value, solid content, factor of created gase,
The data parameters such as biogas composition.
Structural parameters:Refer to the process design parameter of biogas engineering, including project scale, the form of pretreatment, fermentation shape
Formula, the specification of fermentation reactor, INSULATION DESIGN, input and output material form etc..
One data base station server is set in each biogas engineering, for biogas engineering Data Collection and with it is big
Data transfer between data server.Wherein, operational factor can be acquired by sensor, be temporarily stored in base station service
Device, structural parameters are manually entered to base station server and kept in by Field Research, test.Finally by all base station servers
Data are transmitted to big data server in real time or regularly by GPRS wireless networks.
Utilize the mashed up structure biogas engineering big data of massive parallel processing MPP and distributed processing system(DPS) Hadoop
Platform, it is possible to achieve function include data calculate and data, services.
Wherein, data, which calculate, includes data processing, data analysis.Data, services include data storage, data sheet, data
Inquiry, data extraction, regularity summarization, trend prediction, fault diagnosis and data visualization etc..
Data processing:Using data processing software DPS to collect initial data carry out preliminary editor, arrangement, classification,
Merger, rejecting abnormalities data, obtain accurate data resource and be stored among memory.
Data analysis:When the data accumulation in memory to it is a certain amount of when, can with use big data platform logarithm
According to analysis calculating is carried out, analyzed by substantial amounts of basic data, the parameter regularity of biogas fermentation is summarized, for instructing zymotechnique
Optimization, reduce the functions such as fermentation energy consumption, yeastiness early warning and operational effect evaluation.
The biogas engineering user of data is provided to big data platform, it is possible to achieve all data storages is total in database
Enjoy.As shown in figure 3, database has provided the user the functions such as network data query, data extraction, data sheet, for user with
When access.Fault message can also be transmitted to big data platform and carry out analyzing and diagnosing by user by user base station, and big data is put down
The data results of platform instruct it to ask technological design present in engineering by GPRS network periodic feedback to user base station
Topic, parameter setting problem, energy loss problem etc. are optimized and improved, and are helped user's solving practical problems, are improved engineering
Gas producing efficiency, reduce system energy consumption.The problem of big data platform can also be to being likely to occur in the development trend of fermentation, fermentation is entered
The estimation of row in advance, the administrative staff of engineering are sent to by cell phone application software, instruct it to be handled in advance, prevent problem
Generation, reduce user loss.
Claims (3)
1. a kind of biogas engineering big data plateform system, it is characterised in that including data acquisition module, data transmission module sum
According to processing module;The data acquisition module connects data processing module by data transmission module;The data acquisition module
Including temperature sensor (11), pressure sensor (12), pH value sensor (13), methane transducer (14), carbon dioxide sensing
Device (15), hydrogen sulfide sensor (16) and weight sensor (17), data transmission module include amplitude modulation double side band circuit (21), institute
Stating data processing module includes user base station unit (31) and server unit (32), and the user base station unit (31) is PC
Machine, user base station unit (31) minimum number are one, and the server unit (32) is server, user base station unit (31)
Pass through wireless connection service device unit (32).
A kind of 2. biogas engineering big data plateform system according to claim 1, it is characterised in that the amplitude modulation double side band electricity
Road (21) includes multiplier MC1496, resistance R1, resistance R2, resistance R3, resistance R4, resistance R5, resistance R6, resistance R7, resistance
R8, resistance R9, resistance R10, resistance R11, resistance R12, electric capacity C1, electric capacity C2, electric capacity C3, electric capacity C4 and electric capacity C5;It is described to multiply
Musical instruments used in a Buddhist or Taoist mass MC1496 has 1,2,3,4,5,7,8,10,12 and 14 pins, and the pin 4 connects resistance R6, electric capacity C3 and resistance respectively
R8, the resistance R6 connect electric capacity C3 respectively and resistance R7, the electric capacity C3 pass through resistance R8, resistance R9, resistance R10 and electric capacity
C5 connection end points UX, the resistance R7 pass through electric capacity C5 connection end point UX, institute by electric capacity C5 connection end points UX, the pin 1
State pin 10 and resistance R11, resistance R12, electric capacity C1 and resistance R2 connected by electric capacity C4 connection end points UC, the pin 8 respectively,
The resistance R11 connection electric capacity C4, the resistance R12 connections ground wire, the electric capacity C1 connections ground wire, the pin 6 connect electricity
R3 is hindered, the resistance R3 connects resistance R2, end points+12V and resistance R4 respectively, and the pin 12 connects resistance R4 and electric capacity respectively
C2, the capacitance connection end points UO, the pin 2 pass through resistance R5 connections ground by resistance R1 connections pin 3, the pin 5
Line, the pin 14 connect resistance R9 and end points -8V respectively.
A kind of 3. biogas engineering big data realized on a kind of biogas engineering big data plateform system of claim 1 or 2
Method, it is characterised in that comprise the following steps:
Step a, by the running state parameter of data collecting module collected biogas engineering, including temperature, pressure, pH value, contain admittedly
The data parameters of amount, factor of created gase and biogas composition;
Step b, the data of data collecting module collected are transferred to user base station unit (31) by data transmission module;
Step c, by Field Research and test, the process design parameter of biogas engineering is manually input to user base station unit
(31), process design parameter includes project scale, the form of pretreatment, fermentation form, the specification of fermentation reactor, insulation
Design and input and output material form;
Step d, user base station unit (31) by running state parameter and process design parameter by GPRS wireless networks in real time or
Person's timing transmission is to server unit (32);
Step e, server unit (32) receives running state parameter and process design parameter, using DPS to collecting original number
According to carrying out preliminary editor, arrangement, classification, merger, rejecting abnormalities data obtain accurate data resource and are stored in memory working as
In;
Step f, when the data accumulation in memory is to threshold value, analysis calculating is carried out to data parameters, by substantial amounts of
Basic data is analyzed, and summarizes the parameter regularity and Analysis on Fault Diagnosis data of biogas fermentation, and by the biogas fermentation parameter of summary
Rule and Analysis on Fault Diagnosis data pass user base station unit (31) back.
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CN112965961A (en) * | 2021-02-02 | 2021-06-15 | 中国船舶重工集团环境工程有限公司 | Big data analysis method for biogas production by utilizing organic solid waste resources |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104407587A (en) * | 2014-11-24 | 2015-03-11 | 黑龙江省能源环境研究院 | Biogas fermentation process state control system and biogas fermentation process state control method thereof |
CN204515482U (en) * | 2014-12-12 | 2015-07-29 | 西安邮电大学 | A kind of biogas fermentation supervisory system |
US20150291927A1 (en) * | 2012-11-01 | 2015-10-15 | Bioprocess Control Sweden Ab | System setup for monitoring and/or controlling fermentation processes |
CN107071022A (en) * | 2017-04-11 | 2017-08-18 | 南京林业大学 | Biogas real-time monitoring system |
CN207472322U (en) * | 2017-12-12 | 2018-06-08 | 黑龙江省能源环境研究院 | A kind of biogas engineering big data platform system |
-
2017
- 2017-12-12 CN CN201711321070.7A patent/CN107843295A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150291927A1 (en) * | 2012-11-01 | 2015-10-15 | Bioprocess Control Sweden Ab | System setup for monitoring and/or controlling fermentation processes |
CN104407587A (en) * | 2014-11-24 | 2015-03-11 | 黑龙江省能源环境研究院 | Biogas fermentation process state control system and biogas fermentation process state control method thereof |
CN204515482U (en) * | 2014-12-12 | 2015-07-29 | 西安邮电大学 | A kind of biogas fermentation supervisory system |
CN107071022A (en) * | 2017-04-11 | 2017-08-18 | 南京林业大学 | Biogas real-time monitoring system |
CN207472322U (en) * | 2017-12-12 | 2018-06-08 | 黑龙江省能源环境研究院 | A kind of biogas engineering big data platform system |
Non-Patent Citations (1)
Title |
---|
刘益标 等: ""基于集成模拟乘法器的双边带调幅电路的设计"", 《大众科技》, vol. 15, no. 3, pages 16 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965961A (en) * | 2021-02-02 | 2021-06-15 | 中国船舶重工集团环境工程有限公司 | Big data analysis method for biogas production by utilizing organic solid waste resources |
CN112965961B (en) * | 2021-02-02 | 2023-04-28 | 中国船舶重工集团环境工程有限公司 | Big data analysis method for biogas production by utilizing organic solid waste resources |
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