CN108319150A - The full running state information perception of bionethanation system and optimal control system and method - Google Patents
The full running state information perception of bionethanation system and optimal control system and method Download PDFInfo
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Abstract
The invention discloses the full running state information perception of bionethanation system and optimal control system and method, the full operating status cloud real-time data base of full operating status cloud real-time data base including bionethanation system, bionethanation system is communicated with the operating status sensory perceptual system of the pretreatment unit of bionethanation system, the anaerobic fermentation unit information acquisition system of bionethanation system, biogas transmission ＆ distribution fate row state perception system, sewage treatment unit operating status sensory perceptual system and bionethanation system environmental information sensory perceptual system.Select the operating status feature of bionethanation system；The deep belief network DBN of construction；Successively greedy training, uses backpropagation BP algorithm, adjusting parameter, the training of completion；Bionethanation system real time data is input in the DBN of training completion, generates Optimal Control variable；It completes to control according to Optimal Control variable.It can effectively solve the problems, such as there is that the numerous bionethanation system operational process real-time optimistic control of operational process complexity, influence factor is difficult and factor of created gase is low.
Description
Technical field
The present invention relates to the full operating status letters of the running optimizatin control technology field more particularly to bionethanation system of bionethanation system
Breath perception and optimal control system and method.
Background technology
Energy shortages, environmental pollution and climate change be restrict current world economy and social sustainable development it is important because
Element, energy and environmental problem have become the Vital Strategic Problems paid high attention to both at home and abroad.
The excrement of large-scale plant that raises poultry discharge, not only causes serious water pollution, air pollution and soil pollution, and
And easily cause poultry and cause a disease, directly affect the epidemic preventing sanitary and livestock product quality of cultivation.And develop large and medium-sized bionethanation system
It is to realize that ecologic breeding promotes regional circular economy development, reduces breeding pollution raising environmental quality, Development of Pollution-free Agricultural Products
The important channel for ensuring food safety and developing and using biogas new energy, is of great significance.
But bionethanation system is a complicated microbial biochemical process, anaerobic environment, the carbon-nitrogen ratio of raw material, fermentation temperature
Degree, acid-base value, enzyme concentration, concentration of substrate etc. are the important key factors for influencing bionethanation system efficient aerogenesis, see clearly bionethanation system
Operation mechanism and extremely difficult to the optimal control of its production process.Bionethanation system can Effec-tive Function, except depend on biogas
The apparatus structure of system is more dependent upon to the full state information perception of the operational process of bionethanation system and real-time optimistic control side
Method excavates bionethanation system operation mechanism based on history data, establishes operational process of the intelligent expert system to bionethanation system
Real-time Optimal regulation and control, to make the Effec-tive Function of bionethanation system and improve factor of created gase.
Invention content
The purpose of the present invention be exactly to solve the above-mentioned problems, provide a kind of full running state information perception of bionethanation system with
Optimal control system and method can effectively solve have many characteristics, such as the bionethanation system fortune that operational process is complicated, influence factor is numerous
The problem that row process real-time optimistic control is difficult and factor of created gase is low.
To achieve the goals above, the present invention adopts the following technical scheme that：
The full running state information sensory perceptual system of bionethanation system includes the full operating status cloud real time data of bionethanation system
The operating status perception system of library, the full operating status cloud real-time data base of the bionethanation system and the pretreatment unit of bionethanation system
System, the anaerobic fermentation unit information acquisition system of bionethanation system, biogas transmission ＆ distribution fate row state perception system, sewage treatment unit
Operating status sensory perceptual system and the communication of bionethanation system environmental information sensory perceptual system.
The operating status sensory perceptual system of the pretreatment unit of the bionethanation system includes the first CPU module, the first CPU
Module is connect with the first AI Analog input mModules, the first AI Analog input mModules and the first ultrasonic water level gauge,
One temperature transmitter and the detection meter connection of the first total solid concentration, first CPU module realize the water level to pretreatment unit,
The information Perception and acquisition of temperature and total solid concentration.
The anaerobic fermentation unit operating status sensory perceptual system of the bionethanation system includes the second CPU module, the 2nd CPU
Module is connect with the 2nd AI Analog input mModules and the first DI digital quantity input modules；
The 2nd AI Analog input mModules and the second ultrasonic water level gauge, second temperature transmitter, pH sensor,
Second total solid concentration detection meter, the first chemical oxygen demand magnitude detection meter, the first biochemical oxygen demand (BOD) value detection meter, the first volatility
Organic acid detection meter and oxidation-reduction potentiometer connection；
The first DI digital quantity input modules are connect with overload limit switch；
Realization is to the liquid level of anaerobic fermentation unit, temperature, pH value, total solid concentration and the overload-alarm of top middle part lower part
Information Perception and acquisition.
The biogas transmission ＆ distribution gas unit operating status sensory perceptual system includes third CPU module, the third CPU module and the
Three AI Analog input mModules and the connection of the 2nd DI digital quantity input modules；
The 3rd AI Analog input mModules and CH4Concentration detector, CO2Concentration detector, O2Concentration detector, H2S
Concentration detector, biogas flowmeter, biogas moisture detector, methane pressure gauge connection；
The 2nd DI digital quantity input modules are connect with biogas leakage alarm；
Realize the CH to biogas transmission ＆ distribution gas unit4、CO2、O2And H2S concentration and biogas flow, moisture, pressure and biogas are let out
Reveal information Perception and the acquisition of alarm.
The sewage treatment unit operating status sensory perceptual system includes the 4th CPU module, the 4th CPU module and the 4th
AI Analog input mModules and the connection of the 3rd DI digital quantity input modules；
The 4th AI Analog input mModules are needed with sewage temperature meter, sewage flowmeter, sewage level meter, the second chemistry
Oxygen amount value detection meter, the second biochemical oxygen demand (BOD) value detection meter, the second volatile organic acids detection meter, suspended matter value detection meter connect
It connects；
The 3rd DI digital quantity input modules are connect with smoke detection alarm；
It realizes to the flow of sewage, temperature, liquid level, COD, biochemical oxygen demand (BOD), volatile organic acids and suspended matter
Information Perception and acquisition.
The bionethanation system environment information acquisition system includes the 5th CPU module, the 5th CPU module and the 5th AI moulds
Analog quantity input module and the connection of the 4th DI digital quantity input modules；
The 5th AI Analog input mModules are connect with environment temperature meter, ambient humidity meter, barometer, airspeedometer；
The 4th DI digital quantity input modules are connect with smoke detection alarm；
Realize the information Perception and acquisition that temperature, humidity, atmospheric pressure, wind speed and the smoke detection of bionethanation system are alarmed.
The full operating status cloud real-time data base of the bionethanation system includes cloud computing all-in-one machine, the cloud computing all-in-one machine
Pass through the operating status sensory perceptual system of 10,000,000,000 interchangers and the pretreatment unit of the bionethanation system, the anaerobic fermentation of bionethanation system
Unit information acquisition system, biogas transmission ＆ distribution fate row state perception system, sewage treatment unit operating status sensory perceptual system and natural pond
Gas system environmental information sensory perceptual system communicates；
The cloud computing all-in-one machine has real-time production data library, the inquiry of historical data library and real-time production data library and history
The tables of data in data query library；Two databases are synchronized by Golden Gate softwares.
3.3 have separately designed the number in the real-time production data library and the inquiry of historical data library of the full state information of bionethanation system
According to table.The day tables of data in real-time production data library only retains data on the 1st in every table.The inquiry of historical data library devises day
Tables of data, moon tables of data, will be in the menology on day on data deposit corresponding date by ETL.
The optimal control system of the bionethanation system of full running state information sensory perceptual system based on the bionethanation system, it is described
The full operating status cloud real-time data base of bionethanation system is communicated with intelligent expert system, and the intelligent expert system is also controlled with PLC
Device processed, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value automatic control system, automatic blending system,
Automatic blowdown system and anaerobic fermentation unit automatic warming system communication；
The PLC controller, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value automatically control
System, automatic blending system, automatic blowdown system and anaerobic fermentation unit automatic warming system according to intelligent expert module most
Excellent control result carries out optimum control.
Based on the control method of the optimal control system, including：
Step 1 selects the operating status feature V of bionethanation systemi；
Step 2 constructs deep belief network DBN；
Step 3, by the history run state feature V of bionethanation systemiDBN is inputted, it is first successively greedy to train DBN, it reuses
Backpropagation BP algorithm adjusts DBN parameters, completes the training of DBN；
Bionethanation system real time data is input in the DBN that step 4.3 training is completed by step 4, is generated Optimal Control and is become
Amount
Step 5 is completed to control according to the Optimal Control variable of the step 4.
Wherein,
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,
CO2YY,LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ]；LTYCLFor the level value of pretreatment unit, TYCLFor the temperature of pretreatment unit
Value, TSYCLFor the material TS concentration values of pretreatment unit, LTYYFor the level value of anaerobic fermentation unit, TYY-SFor anaerobic fermentation list
The upper temp value of member, TYY-ZFor the middle portion temperature value of anaerobic fermentation unit, TYY-XFor the temperature of lower value of anaerobic fermentation unit,
PHYYFor the pH value of anaerobic fermentation unit, TSYYFor the material TS concentration values of anaerobic fermentation unit, CODYYFor anaerobic fermentation unit
Chemical oxygen demand magnitude, BODYYFor the biochemical oxygen demand (BOD) value of anaerobic fermentation unit, VFAYYVolatility for anaerobic fermentation unit is organic
Acid value, CH4YYFor CH4Concentration value, CO2YYFor CO2Concentration value, LZQFor biogas flow value, WZQFor biogas moisture value, PZQFor biogas
Pressure value, THJFor ambient temperature value, RHHJFor environmental wet angle value, PHJFor ambient atmosphere pressure value, SHJFor ambient wind velocity value；
The specific method of the step 1 includes：
Step 1.1, using C-C method phase space reconfiguration bionethanation system operating status time serieses vi, set viDelay when
Between tiWith Embedded dimensions mi, and take ti=1 and mi=3600, by bionethanation system running state data viUnified Expression is vi=[vi
(t),vi(t-1),…,vi(t-(3600-1))]；
Step 1.2, V is selectediFor bionethanation system characteristic,
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,
CO2YY,LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ], by ViCharacteristic is expressed as 21 × 3600 history data time sequence
Column vector.
The specific method of the step 5 includes：
Step 5.1, according to step 4 institute optimum control variable fermentation unit optimum temperature value
PLC controller makes anaerobic fermentation unit be maintained at optimum temperature using the temperature-increasing system of pid control algorithm control bionethanation system
Value；
Step 5.2, according to step 4 institute optimum control variable fermentation unitPLC controller controls discharging system using pid control algorithm, makes anaerobism
The TS concentration values of fermentation unit are maintained at best TS concentration values；
Step 5.3, according to step 4 institute optimum control variable fermentation unitPLC controller is calculated using PID control
Method controls pH value mixing system, and the pH value of anaerobic fermentation unit is made to be maintained at best PH concentration values；
Step 5.4, interval time is most preferably stirred according to step 4 institute optimum control variable fermentation unitPLC is controlled
The mixing time of device timing controlled stirring system.
Beneficial effects of the present invention：
The present invention efficiently solve the bionethanation system that complicated, moving law difficulty is excavated with operation mechanism be difficult to realize it is optimal
Aerogenesis controls problem, is perceived by the full state information and real-time optimistic control integrated design method, is adopted based on historical data
The moving law of bionethanation system effectively can be excavated and seen clearly with deep learning method, and is based on intelligent expert system optimal control in real time
Producing methane production process can effectively improve the factor of created gase and aerogenesis total amount of bionethanation system.
Description of the drawings
Fig. 1 is full state information perception and the real-time optimistic control integrated design method structure chart of bionethanation system；
Fig. 2 is the full state information cognitive method structure chart of bionethanation system；
Database schema figure when Fig. 3 is the total state mysorethorn of bionethanation system；
Database table design drawing when Fig. 4 is the total state mysorethorn of bionethanation system；
Fig. 5 is the bionethanation system intelligent expert system structure chart based on deep learning；
Fig. 6 is the optimal control system structure chart of bionethanation system.
Specific implementation mode
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
The invention mainly comprises：The total state sensory perceptual system of bionethanation system, the total state cloud real-time data base of bionethanation system,
Bionethanation system intelligent expert system based on deep learning, the real-time optimistic control system of bionethanation system.Its overall technical architecture
Structure chart is as shown in Figure 1.
The full running state information sensory perceptual system of bionethanation system, including：The operating status of the pretreatment unit of bionethanation system
Sensory perceptual system, the anaerobic fermentation unit information sensory perceptual system of bionethanation system, biogas transmission ＆ distribution fate row state perception system, at sewage
Manage unit operating status sensory perceptual system, bionethanation system environmental information sensory perceptual system.Its technical solution structure chart is as shown in Figure 2.
The pretreatment unit operating status sensory perceptual system of bionethanation system：Including the first CPU module, the first CPU module and the
One AI Analog input mModules connect, and the first AI Analog input mModules and the first ultrasonic water level gauge, the first temperature become
Device and the first total solid concentration is sent to detect meter connection, first CPU module is realized to the water level of pretreatment unit, temperature and total
The information Perception of solid concentration and acquisition.First CPU module uses SIEMENS PLC S7-300CPU.
The anaerobic fermentation unit operating status sensory perceptual system of bionethanation system：Including the second CPU module (SIEMENS PLC S7-
300CPU), the 2nd AI Analog input mModules, the first DI digital quantity input modules, the second ultrasonic water level gauge, second temperature become
Send device, pH sensor, total solid (TS) Concentration Testing meter, the first COD (COD) value detection meter, the first biochemistry aerobic
(BOD) value detection meter, the first volatile organic acids (VFA) detection meter, oxidation-reduction potentiometer (ORP), overload limit switch are measured,
The information Perception of the liquid level to anaerobic fermentation unit, the temperature of top middle part lower part, pH value, TS concentration and overload-alarm can be achieved
With acquisition.
Biogas transmission ＆ distribution gas unit operating status sensory perceptual system：Including：Third CPU module (SIEMENS PLC S7-300CPU),
3rd AI Analog input mModules, the 2nd DI digital quantity input modules, CH4Concentration detector, CO2Concentration detector, O2Concentration is examined
Survey device, H2S concentration detectors, biogas flowmeter, biogas moisture detector, methane pressure gauge, biogas leakage alarm, it can be achieved that
To the CH of biogas transmission ＆ distribution gas unit4、CO2、O2And H2S concentration and biogas flow, moisture, pressure and the information of biogas leakage alarm
Perception and acquisition.
Sewage treatment unit operating status sensory perceptual system：Including：4th CPU module (SIEMENS PLC S7-300CPU moulds
Block), the 4th AI Analog input mModules, the 3rd DI digital quantity input modules, sewage temperature meter, sewage flowmeter, sewage level
Meter, the second COD (COD) value detection meter, the second biochemical oxygen demand (BOD) (BOD) value detection meter, the second volatile organic acids
(VFA) detection meter, suspended matter (SS) value detection meter, smoke detection alarm, realize to the flow of sewage, temperature, liquid level, COD,
The information Perception of BOD, VFA, SS and acquisition.
Bionethanation system environment information acquisition system：Including：5th CPU module (SIEMENS PLC S7-300CPU), the 5th AI
Analog input mModule, the 4th DI digital quantity input modules, environment temperature meter, ambient humidity meter, barometer, airspeedometer, smog
Detecting alarm, it can be achieved that the temperature of bionethanation system, humidity, atmospheric pressure, wind speed and the information Perception of smoke detection alarm with adopt
Collection.
The full operating status cloud real-time data base of bionethanation system includes mainly：10,000,000,000 interchanger of cloud computing all-in-one machine.Cluster
Framework uses Hadoop framework, and underlying database uses PI real-time data bases, with Flow Technique data loading.By real-time data base
It is deployed on the distributed structure/architecture of cloud computing, by the parallel distributed calculating of cloud computing and multi-duplicate technology, realizes magnanimity number
According to real-time storage.Data Physical protection, and the SnapShot using NetApp memory mechanisms are realized using RAID6 technologies simultaneously
Mathematical logic protection is realized with SnapRestore technologies.
The full operating status cloud real-time data base of bionethanation system includes the full state information real-time production data of bionethanation system
Library and the inquiry of historical data library, two databases are synchronized by Golden Gate softwares, database schema such as Fig. 3 institutes
Show.
It further include the tables of data in the real-time production data library and the inquiry of historical data library of the full state information of bionethanation system.It is real
When Production database day tables of data, data on the 1st are only retained in every table.The inquiry of historical data library devise a day tables of data,
Month tables of data, will be in the menology on day on data deposit corresponding date by ETL.Its database table is as shown in Figure 4.
The optimal control system of the bionethanation system of full running state information sensory perceptual system based on the bionethanation system, it is described
The full operating status cloud real-time data base of bionethanation system is communicated with intelligent expert system, and the intelligent expert system is also controlled with PLC
Device processed, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value automatic control system, automatic blending system,
Automatic blowdown system and anaerobic fermentation unit automatic warming system communication；
The PLC controller, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value automatically control
System, automatic blending system, automatic blowdown system and anaerobic fermentation unit automatic warming system according to intelligent expert module most
Excellent control result carries out optimum control.
Control method based on optimal control system, as shown in figure 5, including
Step 1: the operating status feature extraction of bionethanation system, selects the operating status feature V of bionethanation systemi；
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,
CO2YY,LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ]；
Wherein：LTYCLFor the level value of pretreatment unit, TYCLFor the temperature value of pretreatment unit, TSYCLIt is single for pretreatment
The material TS concentration values of member, LTYYFor the level value of anaerobic fermentation unit, TYY-SFor the upper temp value of anaerobic fermentation unit,
TYY-ZFor the middle portion temperature value of anaerobic fermentation unit, TYY-XFor the temperature of lower value of anaerobic fermentation unit, PHYYFor anaerobic fermentation list
The pH value of member, TSYYFor the material TS concentration values of anaerobic fermentation unit, CODYYFor the chemical oxygen demand magnitude of anaerobic fermentation unit,
BODYYFor the biochemical oxygen demand (BOD) value of anaerobic fermentation unit, VFAYYFor the volatile organic acids value of anaerobic fermentation unit, CH4YYFor
CH4Concentration value, CO2YYFor CO2Concentration value, LZQFor biogas flow value, WZQFor biogas moisture value, PZQFor biogas pressure value, THJFor
Ambient temperature value, RHHJFor environmental wet angle value, PHJFor ambient atmosphere pressure value, SHJFor ambient wind velocity value；
Step 2: the deep belief network (DBN) of construction；
The DBN is based on limited Boltzmann machine (RBM), determines the network number of plies of DBN and each node layer quantity；
Step 3: training depth belief network (DBN)；
By the history run state feature V of bionethanation systemiDBN is inputted, it is first successively greedy to train DBN, reuse reversed biography
BP algorithm is broadcast, DBN parameters is adjusted, completes the training of DBN；
Step 4: the Optimal Control variable output of bionethanation system；
Bionethanation system real time data is input in the DBN that step 3 training is completed, generates Optimal Control variable
Wherein,For the optimal material TS concentration values of pretreatment unit,For the optimal liquid level of anaerobic fermentation unit
Value,For the optimal upper temp value of anaerobic fermentation unit,For the optimal middle portion temperature value of anaerobic fermentation unit,
For the optimal temperature of lower of anaerobic fermentation unit,For the optimal pH value of anaerobic fermentation unit,For anaerobic fermentation unit
Optimal material TS concentration values,For the optimal COD value of anaerobic fermentation unit,For anaerobic fermentation unit
Optimal biochemical oxygen demand (BOD) value,For the optimal volatile organic acids value of anaerobic fermentation unit,For anaerobic fermentation unit
Optimal stirring interval time；
In step 1, the operating status feature extraction, detailed process is as follows：
Step 1.1, operating status characteristic variable is extracted：
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,
CO2YY,LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ]；
Wherein：LTYCLFor the level value of pretreatment unit, TYCLFor the temperature value of pretreatment unit, TSYCLIt is single for pretreatment
The material TS concentration values of member, LTYYFor the level value of anaerobic fermentation unit, TYY-SFor the upper temp value of anaerobic fermentation unit,
TYY-ZFor the middle portion temperature value of anaerobic fermentation unit, TYY-XFor the temperature of lower value of anaerobic fermentation unit, PHYYFor anaerobic fermentation list
The pH value of member, TSYYFor the material TS concentration values of anaerobic fermentation unit, CODYYFor the chemical oxygen demand magnitude of anaerobic fermentation unit,
BODYYFor the biochemical oxygen demand (BOD) value of anaerobic fermentation unit, VFAYYFor the volatile organic acids value of anaerobic fermentation unit, CH4YYFor
CH4Concentration value, CO2YYFor CO2Concentration value, LZQFor biogas flow value, WZQFor biogas moisture value, PZQFor biogas pressure value, THJFor
Ambient temperature value, RHHJFor environmental wet angle value, PHJFor ambient atmosphere pressure value, SHJFor ambient wind velocity value；
Step 1.2, using C-C method phase space reconfiguration bionethanation system operating status time serieses vi, set viDelay when
Between tiWith Embedded dimensions mi, and take ti=1 and mi=3600, by bionethanation system running state data viUnified Expression is vi=[vi
(t),vi(t-1),…,vi(t-(3600-1))]；
Step 1.3, according to step 1.2, by ViFor bionethanation system characteristic ViCharacteristic is expressed as 21 × 3600 and goes through
History operation data time series vector；
In step 2, the deep belief network DBN of the construction specifically includes following steps：
Step 2.1,5 layers of DBN based on RBM, including 1 input layer, 3 hidden layers and 1 decision-making level are constructed；
Step 2.2, it is 21 × 3600 to specify the input layer number of DBN；First hidden layer number of nodes is 1000；Second
A hidden layer number of nodes is 1000；Third hidden layer number of nodes is 2000；The number of nodes of decision-making level is 11.
Step 3, the trained DBN, specifically includes following steps：
Step 3.1,5 layers of DBN are successively trained using to sdpecific dispersion CD algorithms, calculates 3 hidden layers and 1 is determined
Weights between the output valve of plan layer and each layer and biasing；
Step 3.2, entire DBN is adjusted using BP algorithm, optimizes DBN parameters, complete the training of the DBN overall situations.
Step 5: the real-time optimistic control of bionethanation system, as shown in fig. 6,
Step 5.1 is according to step 4 institute optimum control variable fermentation unit optimum temperature valuePLC
Controller makes anaerobic fermentation unit be maintained at optimum temperature value using the temperature-increasing system of pid control algorithm control bionethanation system；
Step 5.2：According to step 4 institute optimum control variable fermentation unitPLC controller controls discharging system using pid control algorithm, makes anaerobism
The TS concentration values of fermentation unit are maintained at best TS concentration values；
Step 5.3：According to step 4 institute optimum control variable fermentation unitPLC controller is calculated using PID control
Method controls pH value mixing system, and the pH value of anaerobic fermentation unit is made to be maintained at best PH concentration values；
Step 5.4：Interval time is most preferably stirred according to step 4 institute optimum control variable fermentation unitPLC is controlled
The mixing time of device timing controlled stirring system.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (10)
1. the full running state information sensory perceptual system of bionethanation system, characterized in that the full operating status mysorethorn including bionethanation system
When database, the operating status of the full operating status cloud real-time data base of the bionethanation system and the pretreatment unit of bionethanation system
Sensory perceptual system, the anaerobic fermentation unit information acquisition system of bionethanation system, biogas transmission ＆ distribution fate row state perception system, at sewage
Manage unit operating status sensory perceptual system and the communication of bionethanation system environmental information sensory perceptual system.
2. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the bionethanation system
The operating status sensory perceptual system of pretreatment unit includes the first CPU module, first CPU module and the first AI analog inputs
Module connects, and the first AI Analog input mModules and the first ultrasonic water level gauge, the first temperature transmitter and first are total solid
Bulk concentration detection meter connection, first CPU module realize the information to the water level of pretreatment unit, temperature and total solid concentration
Perception and acquisition.
3. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the bionethanation system
Anaerobic fermentation unit operating status sensory perceptual system includes the second CPU module, second CPU module and the 2nd AI analog inputs
Module and the connection of the first DI digital quantity input modules；
The 2nd AI Analog input mModules and the second ultrasonic water level gauge, second temperature transmitter, pH sensor, second
Total solid concentration detection meter, the first chemical oxygen demand magnitude detection meter, the first biochemical oxygen demand (BOD) value detection meter, the first volatility are organic
Acid detection meter and oxidation-reduction potentiometer connection；
The first DI digital quantity input modules are connect with overload limit switch；
Realize the letter of the liquid level to anaerobic fermentation unit, the temperature of top middle part lower part, pH value, total solid concentration and overload-alarm
Breath perception and acquisition.
4. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the biogas transmission ＆ distribution gas
Unit operating status sensory perceptual system includes third CPU module, the third CPU module and the 3rd AI Analog input mModules and the
Two DI digital quantity input modules connect；
The 3rd AI Analog input mModules and CH4Concentration detector, CO2Concentration detector, O2Concentration detector, H2S concentration
Detector, biogas flowmeter, biogas moisture detector, methane pressure gauge connection；
The 2nd DI digital quantity input modules are connect with biogas leakage alarm；
Realize the CH to biogas transmission ＆ distribution gas unit4、CO2、O2And H2S concentration and biogas flow, moisture, pressure and biogas leakage alarm
Information Perception and acquisition.
5. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the sewage disposal list
First operating status sensory perceptual system includes the 4th CPU module, the 4th CPU module and the 4th AI Analog input mModules and third
DI digital quantity input modules connect；
The 4th AI Analog input mModules and sewage temperature meter, sewage flowmeter, sewage level meter, the second COD
Value detection meter, the second biochemical oxygen demand (BOD) value detection meter, the second volatile organic acids detection meter, suspended matter value detection meter
Connection；
The 3rd DI digital quantity input modules are connect with smoke detection alarm；
Realize the letter to the flow of sewage, temperature, liquid level, COD, biochemical oxygen demand (BOD), volatile organic acids and suspended matter
Breath perception and acquisition.
6. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the bionethanation system ring
Border information acquisition system includes the 5th CPU module, the 5th CPU module and the 5th AI Analog input mModules and the 4th DI numbers
Word amount input module connects；
The 5th AI Analog input mModules are connect with environment temperature meter, ambient humidity meter, barometer, airspeedometer；
The 4th DI digital quantity input modules are connect with smoke detection alarm；
Realize the information Perception and acquisition that temperature, humidity, atmospheric pressure, wind speed and the smoke detection of bionethanation system are alarmed.
7. the full running state information sensory perceptual system of bionethanation system as described in claim 1, characterized in that the bionethanation system
Full operating status cloud real-time data base includes cloud computing all-in-one machine, and the cloud computing all-in-one machine passes through 10,000,000,000 interchangers and the natural pond
Operating status sensory perceptual system, the anaerobic fermentation unit information acquisition system of bionethanation system, the biogas of the pretreatment unit of gas system
Transmission ＆ distribution fate row state perception system, sewage treatment unit operating status sensory perceptual system and bionethanation system environmental information sensory perceptual system
Communication；
The cloud computing all-in-one machine has real-time production data library, the inquiry of historical data library and real-time production data library and historical data
Inquire the tables of data in library；Two databases are synchronized by Golden Gate softwares.
3.3 have separately designed the data in the real-time production data library and the inquiry of historical data library of the full state information of bionethanation system
Table.The day tables of data in real-time production data library only retains data on the 1st in every table.The inquiry of historical data library devises number of days
It, will be in the menology on day on data deposit corresponding date by ETL according to table, moon tables of data.
8. the optimum control system of the bionethanation system of the full running state information sensory perceptual system based on bionethanation system described in claim 1
System, characterized in that the full operating status cloud real-time data base of the bionethanation system is communicated with intelligent expert system, and the intelligence is special
Family's system also automatically controls with PLC controller, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value and is
System, automatic blending system, automatic blowdown system and anaerobic fermentation unit automatic warming system communication；
The PLC controller, automatic feed/discharge system, material total solid concentration auto-scheduling system, pH value automatic control system,
Automatic blending system, automatic blowdown system and anaerobic fermentation unit automatic warming system are according to the optimum control of intelligent expert module
As a result optimum control is carried out.
9. the control method based on optimal control system according to any one of claims 8, characterized in that including：
Step 1 selects the operating status feature V of bionethanation systemi；
Step 2 constructs deep belief network DBN；
Step 3, by the history run state feature V of bionethanation systemiDBN is inputted, it is first successively greedy to train DBN, it reuses reversed
BP algorithm is propagated, DBN parameters is adjusted, completes the training of DBN；
Bionethanation system real time data is input in the DBN that step 4.3 training is completed, generates Optimal Control variable by step 4
Step 5 is completed to control according to the Optimal Control variable of the step 4.
Wherein,
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,CO2YY,
LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ]；LTYCLFor the level value of pretreatment unit, TYCLFor the temperature value of pretreatment unit,
TSYCLFor the material TS concentration values of pretreatment unit, LTYYFor the level value of anaerobic fermentation unit, TYY-SFor anaerobic fermentation unit
Upper temp value, TYY-ZFor the middle portion temperature value of anaerobic fermentation unit, TYY-XFor the temperature of lower value of anaerobic fermentation unit, PHYY
For the pH value of anaerobic fermentation unit, TSYYFor the material TS concentration values of anaerobic fermentation unit, CODYYFor the change of anaerobic fermentation unit
Learn aerobic magnitude, BODYYFor the biochemical oxygen demand (BOD) value of anaerobic fermentation unit, VFAYYFor the volatile organic acids of anaerobic fermentation unit
Value, CH4YYFor CH4Concentration value, CO2YYFor CO2Concentration value, LZQFor biogas flow value, WZQFor biogas moisture value, PZQFor biogas pressure
Force value, THJFor ambient temperature value, RHHJFor environmental wet angle value, PHJFor ambient atmosphere pressure value, SHJFor ambient wind velocity value；
The specific method of the step 1 includes：
Step 1.1, using C-C method phase space reconfiguration bionethanation system operating status time serieses vi, set viDelay time ti
With Embedded dimensions mi, and take ti=1 and mi=3600, by bionethanation system running state data viUnified Expression is vi=[vi(t),
vi(t-1),…,vi(t-(3600-1))]；
Step 1.2, V is selectediFor bionethanation system characteristic,
Vi=[LTYCL,TYCL,TSYCL,LTYY,TYY-S,TYY-Z,TYY-X,PHYY,TSYY,CODYY,BODYY,VFAYY,CH4YY,CO2YY,
LZQ,WZQ,PZQ,THJ,RHHJ,PHJ,SHJ], by ViCharacteristic be expressed as 21 × 3600 history data time series to
Amount.
10. control method as claimed in claim 9, characterized in that the specific method of the step 5 includes：
Step 5.1, according to step 4 institute optimum control variable fermentation unit optimum temperature valuePLC is controlled
Device processed makes anaerobic fermentation unit be maintained at optimum temperature value using the temperature-increasing system of pid control algorithm control bionethanation system；
Step 5.2, according to step 4 institute optimum control variable fermentation unit
PLC controller controls discharging system using pid control algorithm, so that the TS concentration values of anaerobic fermentation unit is maintained at best TS dense
Angle value；
Step 5.3, according to step 4 institute optimum control variable fermentation unitPLC controller uses pid control algorithm control
PH value mixing system processed makes the pH value of anaerobic fermentation unit be maintained at best PH concentration values；
Step 5.4, interval time is most preferably stirred according to step 4 institute optimum control variable fermentation unitPLC controller is fixed
When control stirring system mixing time.
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