CN208044320U - The full running state information perception of bionethanation system and optimal control system - Google Patents

The full running state information perception of bionethanation system and optimal control system Download PDF

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CN208044320U
CN208044320U CN201820604041.5U CN201820604041U CN208044320U CN 208044320 U CN208044320 U CN 208044320U CN 201820604041 U CN201820604041 U CN 201820604041U CN 208044320 U CN208044320 U CN 208044320U
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bionethanation
sensory perceptual
operating status
cpu module
bionethanation system
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赵峰
张广渊
裴文卉
潘为刚
杨光
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Shandong Jiaotong University
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Shandong Jiaotong University
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Abstract

The utility model discloses the full running state information perception of bionethanation system and optimal control systems, 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.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

The full running state information perception of bionethanation system and optimal control system
Technical field
The utility model is related to the running optimizatin control technology field more particularly to bionethanation system of bionethanation system row shapes for the national games State information Perception and optimal control system.
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.
Utility model content
The purpose of this utility model is exactly to solve the above-mentioned problems, to provide a kind of full running state information sense of bionethanation system Know and optimal control system, can effectively solve have many characteristics, such as the bionethanation system operation that operational process is complicated, influence factor is numerous The problem that process real-time optimistic control is difficult and factor of created gase is low.
To achieve the goals above, the utility model adopts the following technical solution:
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 Fail to report alert information Perception and acquisition.
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.
The beneficial effects of the utility model:
The utility model efficiently solves the bionethanation system that complicated, moving law difficulty is excavated with operation mechanism and is difficult to realize Optimal aerogenesis controls problem, is perceived by the full state information and real-time optimistic control integrated design method, is based on history number The moving law of bionethanation system effectively can be excavated and see clearly according to using deep learning method, and in real time most based on intelligent expert system Excellent control biogas 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 utility model is described in further detail with embodiment below in conjunction with the accompanying drawings.
The utility model includes mainly:The total state sensory perceptual system of bionethanation system, number when the total state mysorethorn of bionethanation system According to library, the bionethanation system intelligent expert system based on deep learning, the real-time optimistic control system of bionethanation system.Its overall technology Schematic structure diagram 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- 300 CPU), the 2nd AI Analog input mModules, the first DI digital quantity input modules, the second ultrasonic water level gauge, second temperature Transmitter, pH sensor, total solid (TS) Concentration Testing meter, the first COD (COD) value detection meter, the first biochemistry need Oxygen amount (BOD) value detection meter, the first volatile organic acids (VFA) detection meter, oxidation-reduction potentiometer (ORP), overload limit are opened Close liquid level, temperature, the information of pH value, TS concentration and overload-alarm of top middle part lower part, it can be achieved that anaerobic fermentation unit Perception and 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 H2The information of S concentration and biogas flow, moisture, pressure and 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.
It is above-mentioned although specific embodiments of the present invention are described with reference to the accompanying drawings, but not to this practicality newly The limitation of type protection domain, those skilled in the art should understand that, based on the technical solution of the present invention, ability Field technique personnel need not make the creative labor the various modifications or changes that can be made still in the protection model of the utility model Within enclosing.

Claims (7)

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 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.
CN201820604041.5U 2018-04-25 2018-04-25 The full running state information perception of bionethanation system and optimal control system Expired - Fee Related CN208044320U (en)

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