CN112965558A - Intelligent control system for fermentation bed padding management equipment - Google Patents
Intelligent control system for fermentation bed padding management equipment Download PDFInfo
- Publication number
- CN112965558A CN112965558A CN202110145506.1A CN202110145506A CN112965558A CN 112965558 A CN112965558 A CN 112965558A CN 202110145506 A CN202110145506 A CN 202110145506A CN 112965558 A CN112965558 A CN 112965558A
- Authority
- CN
- China
- Prior art keywords
- module
- sensor
- monitoring
- value
- fermentation bed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000855 fermentation Methods 0.000 title claims abstract description 76
- 230000004151 fermentation Effects 0.000 title claims abstract description 76
- 238000012544 monitoring process Methods 0.000 claims abstract description 87
- 238000005259 measurement Methods 0.000 claims abstract description 49
- 241000272525 Anas platyrhynchos Species 0.000 claims abstract description 46
- 230000007613 environmental effect Effects 0.000 claims abstract description 45
- 238000011156 evaluation Methods 0.000 claims abstract description 34
- 230000004927 fusion Effects 0.000 claims abstract description 13
- 235000013372 meat Nutrition 0.000 claims abstract description 11
- 239000000463 material Substances 0.000 claims abstract description 5
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 39
- 229910021529 ammonia Inorganic materials 0.000 claims description 18
- 230000008878 coupling Effects 0.000 claims description 15
- 238000010168 coupling process Methods 0.000 claims description 15
- 238000005859 coupling reaction Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 239000000126 substance Substances 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 9
- 230000001502 supplementing effect Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 241000894006 Bacteria Species 0.000 claims description 3
- 241000233866 Fungi Species 0.000 claims description 3
- 238000009529 body temperature measurement Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 201000010099 disease Diseases 0.000 abstract description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 2
- 230000003938 response to stress Effects 0.000 abstract description 2
- 241000272517 Anseriformes Species 0.000 abstract 1
- 239000010410 layer Substances 0.000 description 26
- 238000009395 breeding Methods 0.000 description 11
- 230000001488 breeding effect Effects 0.000 description 10
- 241000272522 Anas Species 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000002349 favourable effect Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 210000003608 fece Anatomy 0.000 description 2
- 239000010871 livestock manure Substances 0.000 description 2
- 238000009304 pastoral farming Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 244000000010 microbial pathogen Species 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K31/00—Housing birds
- A01K31/04—Dropping-boards; Devices for removing excrement
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Birds (AREA)
- Zoology (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
The invention discloses an intelligent control system for fermentation bed padding management equipment, which belongs to the technical field of cultivation and comprises an object layer, an execution layer, a control layer and a system layer; the executive layer comprises a sensor module; the system layer comprises a central system module and a monitoring and evaluating expert system module; the monitoring and evaluation expert system module adopts a self-adaptive weighted average fusion algorithm for a plurality of same kind of environmental parameters in the duck shed acquired by the sensor module in a time-sharing manner; the invention is scientific and reasonable, and the tasks are planned by the system layer, the control layer receives and issues the operation instruction, and the execution of the execution layer is carried out, thereby completing the automatic operation and reducing the labor intensity of manual rake turning; the duck shed state is accurately reflected by the obtained final measurement value by adopting a self-adaptive weighted average fusion algorithm, the control precision of fermentation bed decision service provided for different meat duck types and different padding materials is improved, and the stress response and epidemic disease risk of the meat ducks caused by multiple rake turning operations are reduced; the cost is saved in the time-sharing acquisition of a plurality of sensor units.
Description
Technical Field
The invention relates to the technical field of cultivation, in particular to an intelligent control system for fermentation bed padding management equipment.
Background
With the standardization of ecological breeding in China, the aquatic bird breeding in rivers and lakes is forbidden, the traditional water-area grazing (semi-grazing) breeding mode is eliminated, and the meat duck breeding mode is gradually changed to the dry breeding mode. The net bed flat breeding and cage breeding mode is a new breeding technology which is started in recent years, can effectively avoid the contact of meat ducks and excrement, and reduces the infection and transmission opportunities of pathogenic microorganisms. However, the manure with too concentrated meat duck cage-breeding mode is difficult to treat in time, and the breeding density is too high, which easily causes defective ducks and is not beneficial to the production of white duck. When the online meat duck breeding technology of the fermentation bed is used, the efficient management technology and automatic operation equipment of the fermentation bed are lacked, the fermentation bed is managed by adopting experience and sensory judgment in production, the evaluation standard of the fermentation bed is lacked, and the labor intensity of manual rake-turning operation is high. In addition, each regional space is great in the duck house, and humiture is inconsistent everywhere, and ammonia concentration distributes unevenly everywhere, hardly obtains accurate monitoring numerical value, easily causes the incident. Therefore, an intelligent control system for fermentation bed padding management equipment is needed to solve the problems.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an intelligent control system of fermentation bed padding management equipment to solve the problem that accurate monitoring data are difficult to obtain in the prior art.
The technical scheme is as follows: the invention relates to an intelligent control system of fermentation bed padding management equipment, which comprises an object layer, an execution layer, a control layer and a system layer;
the object layer comprises a fermentation bed module as a control object;
the execution layer comprises a servo driver module, a frequency converter module and a sensor module: the servo driver module, the frequency converter module and the sensor module are all connected with the fermentation bed module, the servo driver module and the frequency converter module drive the fermentation bed module to complete automatic or manual operation, and the sensor module collects environmental parameters of different positions in the duck shed in a time-sharing manner and completes bacterium supplementing operation;
the control layer comprises a programmable logic control module and a fermentation bed performance monitoring system module: the programmable logic control module is connected with the servo driver module and the frequency converter module, issues an operation instruction of a system layer to the servo driver module and the frequency converter module, receives the environmental parameters collected by the sensor module through a wireless communication technology, and sends the environmental parameters to the fermentation bed performance monitoring system module and the system layer through the wireless communication technology; the fermentation bed performance monitoring system module monitors environmental parameters;
the system layer comprises a central system module, a data processing module and a monitoring and evaluating expert system module; the central system module is used for coordinating all work tasks in a comprehensive mode, and the data processing module is connected with the central system module to store a data set, a system configuration program and a configuration picture generated by the operation of the central system module; the monitoring and evaluating expert system module adopts a self-adaptive weighted average fusion algorithm to a plurality of environmental parameters of the same type in the duck shed acquired by the sensor module in a time-sharing manner to obtain a final measurement value of each type, and fermentation bed decision service is provided for different meat duck types and different padding materials according to the final measurement data; the data processing module and the fermentation bed performance monitoring system module are connected with the monitoring and evaluation expert system module and are used for carrying out data support on the monitoring and evaluation expert system module, and the data processing module is also used for dispatching a fermentation bed decision service operation instruction made by the fermentation bed performance monitoring system module to the programming logic control module.
The servo driver module is favorable for controlling the displacement of the platform, and the frequency converter module is favorable for controlling the motor spindle to realize the rake turning and walking actions of the rake turning machine. The sensor module collects data in a time-sharing manner, hardware is saved, and cost is reduced. The self-adaptive weighted average fusion algorithm is favorable for obtaining accurate environmental parameters under the conditions of large space in the duck shed, inconsistent temperature and humidity and non-uniform ammonia concentration distribution. The monitoring and evaluating expert system module evaluates the state of the fermentation bed, simulates human thinking activity rules to a certain extent, facilitates automatic reasoning and supervision of the production process, and provides a basis for automatic management operation of the fermentation bed.
Preferably, the central system module comprises an execution monitoring unit, an alarm unit and a report unit which are connected with the task scheduling unit; the monitoring unit is used for monitoring and controlling automatic or manual operation of the fermentation bed module, the alarm unit is used for prompting an alarm when a system fails, prompting a fault reason and giving a solution, and the report unit is used for summarizing and storing data of the sensor module;
the data processing module comprises a configuration database, an operation database and a task scheduling unit, wherein the configuration database is used for storing a system configuration program and a configuration picture, the operation database is used for storing all data generated by the operation of the intelligent control system of the fermentation bed padding management equipment, and the task scheduling unit schedules a work task transmitted by the monitoring and evaluation expert system module to the logic control module;
the monitoring and evaluation expert system module is connected with the operation database, and the operation database supports the monitoring and evaluation expert system module; the monitoring and evaluating expert system module comprises a comprehensive database and a knowledge base, wherein the comprehensive database is connected with an inference engine unit and an interpretation interface unit, the knowledge base is connected with a knowledge acquisition unit and is connected with the inference engine unit and the interpretation interface unit, and the inference engine unit, the interpretation interface unit and the knowledge acquisition unit realize data interaction among experts, users, the comprehensive database and the knowledge base through a man-machine interface unit; the inference engine unit simulates the thinking activity rule of a human and automatically infers each data of the fermentation bed transmitted by wireless, the comprehensive database is used for storing original data and intermediate information obtained in inference, and the knowledge base is used for eliminating decision conflict and providing basis for the automatic operation of the fermentation bed; the monitoring and evaluating expert system module calls the comprehensive database to obtain a preset value of the environmental parameters in the duck shed, a deviation value for eliminating the coupling relation is obtained according to the actual measurement value of the sensor module, the error value between the actual measurement value and the preset value of the environmental parameters and the coupling relation of the environmental parameters in the duck shed, the deviation value is processed by a fuzzy controller in the monitoring and evaluating expert system module to obtain a fuzzy value, the fuzzy value is subjected to defuzzification to obtain an accurate value, and therefore the execution amplitude and time of the clothes driver module, the frequency converter module and the sensor module are determined.
Preferably, the environmental parameters in the duck shed comprise temperature and humidity, and the monitoring and evaluating expert system module obtains the following parameters through the coupling relation existing between the temperature and the humidity:
e′T=AeT+CeH;e′H=BeT+DeH
wherein, e'TIs a temperature deviation value, e'HIs the deviation value of humidity eTIs the error between the preset temperature value and the actual temperature measurement value, eHIs the error value between the humidity preset value and the humidity actual measurement value, A, B, C, D is the coupling parameter, and a + B is 1, C + D is 1; A. b, C, D, after the recommended value is given by the monitoring and evaluating expert system module, the value is processed by a program and is self-adjusted on line according to the magnitude of the error value;
preferably, the sensor module comprises a plurality of proportional flow valve units, a plurality of temperature sensor units, a plurality of humidity sensor units, a plurality of ammonia sensor units and a plurality of PH sensor units, the proportional flow valve units are used for the fungus supplementing operation of the fermentation bed, the temperature sensor units, the humidity sensor units, the ammonia sensor units and the PH sensor units are respectively used for monitoring the environmental temperature, the humidity, the ammonia value and the PH value in the duck shed, and the sensor module is distributed in one or more slots in the duck shed;
the monitoring and evaluation expert system module adopts a self-adaptive weighted average fusion algorithm to calculate the estimated value of the environmental parameters acquired by the sensor module in a time-sharing manner so as to accurately reflect the state of the duck shed; the environmental parameters also include ammonia gas level and PH level.
Preferably, the temperature sensor unit, the humidity sensor unit and the ammonia sensor unit are distributed at three different positions in the duck shed in equal parts, and each sensor unit generates an analog signal; the signals generated by the sensor module comprise 18 paths of temperature and humidity analog signals, wherein the number of the temperature analog signals and the number of the humidity analog signals are respectively 9, the 18 paths of analog signals are subjected to time-sharing data acquisition, switching signals output by the programmable logic control module are obtained and converted to be used as address gating signals, the address gating signals are connected with the address ends of the four-channel numerical control analog switches through the phase inverters, and the output ports of the numerical control analog switches are respectively connected with four paths of analog quantity input ports of the analog quantity expansion module and are respectively connected with the temperature and humidity analog quantity signals; the signals generated by the sensor module also comprise 3 paths of ammonia concentration analog signals, the output of the signals is connected with a communication port of the programmable logic control module through a bus, and the signals are communicated by setting different addresses; the conversion circuit comprises a resistor and a switching triode.
Preferably, after the monitoring and evaluation expert system module rejects invalid data measured by the sensor module, a measurement average value of the measurement data of the same type of sensor unit in the sensor module is calculated, that is, the measurement average value of each channel input signal read from the output port of each digital control analog switch in a plurality of scanning cycles is taken as a primary measurement value of the sensor:
wherein the content of the first and second substances,is the measurement average of m measurement values in the same sensor unit in the ith slot, m is the number of the measurement values, and t1+ t2+ … + tm is the sum of the m measurement values of the sensor units at different times.
Preferably, the monitoring and evaluation expert system module calculates the mean square error of the mean value of the measurements of the sensor unit:
wherein the content of the first and second substances,is the mean square error of the measured mean, ti(n) is the nth measurement data in the same sensor unit in the ith slot,is the average value of m measured values in the same sensor unit in the ith slot position, m is the number of the measured values, niIs the noise of the sensor unit in the ith slot.
Preferably, the monitoring and evaluation expert system module obtains an optimal weighting factor for the mean square error of the measured mean value of the sensor units:
wherein the content of the first and second substances,is the optimal weighting factor of the mean square error of the same sensor unit in the ith slot,is the mean square error of the measured mean, and k is the total number of slots of each sensor unit.
Preferably, the monitoring and evaluation expert system module obtains the estimated value of the environmental parameter measured by the sensor unit of the same type through an optimal weighting factor:
ti=t+ni
wherein the content of the first and second substances,is a parametric fusion estimate, k is the total number of sensor units,is the optimal weighting factor, t, of the mean square error of the same sensor unit in the ith slot positioniIs the estimated value of the same sensor in the ith slot position, t is the true value of the actual measurement average value of the same sensor unit in the ith slot position, niThe noise measured by the sensor unit in the ith slot at a certain time.
Has the advantages that: (1) according to the invention, all work tasks are planned and coordinated through a system layer, the control layer receives and dispatches the work tasks and issues operation instructions to the execution layer, and the execution layer executes the operation instructions to the object layer according to the operation instructions, so that the high-efficiency management and the automatic operation of the fermentation bed are completed, and the labor intensity of manual rake turning operation is reduced; the duck shed internal state monitoring and evaluation system is provided with a monitoring and evaluation expert system module, a self-adaptive weighted average fusion algorithm is adopted for a plurality of same type of environmental parameters in the duck shed acquired by the sensor module in a time-sharing manner, and a final measurement value of each type is obtained, the final measurement data can accurately reflect the internal state of the duck shed, the control precision of fermentation bed decision service provided for different meat duck types and different padding materials is improved, and the stress response and epidemic disease risk of the meat ducks caused by multiple rake-turning operations are reduced; and a plurality of sensor units acquire in a time-sharing manner, so that hardware is saved, and cost is reduced.
(2) According to the invention, a deviation value formula is introduced into the coupling relation between the two environment parameters of the temperature and the humidity measured in the sensor module, and a fuzzy control method is adopted for the obtained deviation value, so that the inaccuracy of the amplitude and the time of the automatic operation of the execution layer caused by the coupling relation between the temperature and the humidity is weakened, and the more accurate regulation and control of the environment in the duck shed are facilitated.
Drawings
FIG. 1 is a block diagram of an intelligent control system for a fermentation bed padding management apparatus according to the present invention;
FIG. 2 is a schematic view of the fermentation bed module automation/manual process of an intelligent control system of a fermentation bed padding management apparatus according to the present invention;
FIG. 3 is a schematic diagram of data interaction of a monitoring and evaluation expert system module of an intelligent control system of a fermentation bed padding management device of the invention;
fig. 4 is a circuit diagram of time-sharing data acquisition of an intelligent control system of a fermentation bed padding management device.
Detailed Description
The technical solution of the present invention is described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the embodiments.
Example 1: as shown in fig. 1-4, an intelligent control system for fermentation bed padding management equipment comprises an object layer, an execution layer, a control layer and a system layer;
the object layer comprises a fermentation bed module as a control object;
the execution layer comprises a servo driver module, a frequency converter module and a sensor module: the servo driver module, the frequency converter module and the sensor module are all connected with the fermentation bed module, the servo driver module and the frequency converter module drive the fermentation bed module to complete automatic or manual operation, and the sensor module collects environmental parameters of different positions in the duck shed in a time-sharing manner and completes bacterium supplementing operation; the servo driver module controls the platform to shift, and the frequency converter module controls the motor spindle to realize the rake turning and walking actions of the rake turning machine.
The control layer comprises a programmable logic control module and a fermentation bed performance monitoring system module: the programmable logic control module is connected with the servo driver module and the frequency converter module, issues an operation instruction of a system layer to the servo driver module and the frequency converter module, receives the environmental parameters collected by the sensor module through a wireless communication technology, and sends the environmental parameters to the fermentation bed performance monitoring system module and the system layer through the wireless communication technology; a fermentation bed performance monitoring system module monitors environmental parameters;
the system layer comprises a central system module, a data processing module and a monitoring and evaluating expert system module; the central system module is used for coordinating all the work tasks, and the data processing module is connected with the central system module to store a data set, a system configuration program and a configuration picture generated by the operation of the central system module; the monitoring and evaluating expert system module adopts a self-adaptive weighted average fusion algorithm to a plurality of same type of environmental parameters in the duck shed acquired by the sensor module in a time-sharing manner to obtain a final measurement value of each type, and fermentation bed decision service is provided for different meat duck types and different padding materials according to the final measurement data; the data processing module and the fermentation bed performance monitoring system module are connected with the monitoring and evaluation expert system module and are used for carrying out data support on the monitoring and evaluation expert system module, and the data processing module is also used for dispatching a fermentation bed decision service operation instruction made by the fermentation bed performance monitoring system module to the programming logic control module.
The central system module comprises an execution monitoring unit, an alarm unit and a report unit which are connected with the task scheduling unit; the monitoring unit is used for monitoring and controlling automatic or manual operation of the fermentation bed module, the alarm unit prompts an alarm when a system fails, prompts the reason of the failure and gives a solution, and the report unit is used for summarizing and storing data of the sensor module; the report unit takes 60s as a sampling period to record.
The data processing module comprises a configuration database, an operation database and a task scheduling unit, wherein the configuration database is used for storing a system configuration program and a configuration picture, the operation database is used for storing all data generated by the operation of the intelligent control system of the fermentation bed padding management equipment, and the task scheduling unit schedules a work task transmitted by the monitoring and evaluation expert system module to the logic control module;
the monitoring and evaluation expert system module is connected with the operation database, and the operation database supports the monitoring and evaluation expert system module; the monitoring and evaluating expert system module comprises a comprehensive database and a knowledge base, wherein the comprehensive database is connected with an inference engine unit and an interpretation interface unit, the knowledge base is connected with a knowledge acquisition unit and is connected with the inference engine unit and the interpretation interface unit, and the inference engine unit, the interpretation interface unit and the knowledge acquisition unit realize data interaction among experts, users, the comprehensive database and the knowledge base through a man-machine interface unit; the inference engine unit simulates the thinking activity rule of a human and automatically infers each data of the fermentation bed transmitted by wireless, the comprehensive database is used for storing original data and intermediate information obtained in inference, and the knowledge base is used for eliminating decision conflict and providing basis for the automatic operation of the fermentation bed; the monitoring and evaluating expert system module calls the comprehensive database to obtain a preset value of the environmental parameters in the duck shed, a deviation value for eliminating the coupling relation is obtained according to the actual measurement value of the sensor module, the error value between the actual measurement value and the preset value of the environmental parameters and the coupling relation of the environmental parameters in the duck shed, the deviation value is processed by a fuzzy controller in the monitoring and evaluating expert system module to obtain a fuzzy value, the fuzzy value is subjected to defuzzification to obtain an accurate value, and therefore the execution amplitude and time of the clothes driver module, the frequency converter module and the sensor module are determined.
The duck shed internal environment parameters comprise temperature and humidity, the temperature and the humidity have a coupling relation, and the monitoring and evaluating expert system module obtains the following parameters through the coupling relation existing in the temperature and the humidity:
e′T=AeT+CeH;e′H=BeT+DeH
wherein, e'TIs a temperature deviation value, e'HIs the deviation value of humidity eTIs the error between the preset temperature value and the actual temperature measurement value, eHIs the error value between the humidity preset value and the humidity actual measurement value, A, B, C, D is the coupling parameter, and a + B is 1, C + D is 1; A. b, C, D, after the recommended value is given by the monitoring and evaluating expert system module, the value is processed by a program and is self-adjusted on line according to the magnitude of the error value;
because temperature and humidity change range are little in the duck house, the interval value in table 1 is selected to the rate of change of humiture error value along with time and the physics theory field of humiture deviation value:
TABLE 1
After table 1 is applied with the triangular membership function, see table 2:
TABLE 2
Tabulated fuzzy control table, see table 3:
TABLE 3
The sensor module comprises a plurality of proportional flow valve units, a plurality of temperature sensor units, a plurality of humidity sensor units, a plurality of ammonia sensor units and a plurality of PH sensor units, wherein the proportional flow valve units are used for the fungus supplementing operation of the fermentation bed, the temperature sensor units, the humidity sensor units, the ammonia sensor units and the PH sensor units are respectively used for monitoring the environmental temperature, the humidity, the ammonia value and the PH value in the duck shed, and the sensor module is distributed in one or more slots in the duck shed;
the monitoring and evaluating expert system module adopts a self-adaptive weighted average fusion algorithm to calculate the estimated value of the environmental parameters acquired by the sensor module in a time-sharing manner so as to accurately reflect the state of the duck shed;
the environmental parameters also include ammonia and PH, and the indices within the reasonable ranges of the environmental parameters are shown in table 4:
TABLE 4
Environmental parameter | Reasonable value of parameter |
Temperature (surface layer) | Padding 25 ^ e30℃ |
Humidity | 45~60% |
pH value | 6.5~9.0 |
Ammonia gas value | <20ppm(1ppm=1.15mg/m3) |
The monitoring and evaluating expert system module processes the environmental parameters monitored by each sensor unit, and when the environmental parameters are within a reasonable value range, the rake-turning machine waits on the shifting platform; when the duck manure falls and accumulates and the natural climate changes and the like, the environmental parameters are out of the reasonable value range, and the rake-turning machine starts to operate.
The temperature sensor unit, the humidity sensor unit and the ammonia sensor unit are distributed at three different positions in the duck shed in equal parts, and each sensor unit generates an analog signal; the signals generated by the sensor module comprise 18 paths of temperature and humidity analog signals, wherein the number of the temperature analog signals and the number of the humidity analog signals are respectively 9, the 18 paths of analog signals are subjected to time-sharing data acquisition, 0-24V switching signals output from Q1.6 and Q1.7 of the PLC are converted into 0-5V switching signals to serve as address gating signals, and the conversion circuit is composed of R1, R2, R3, R5, R6, R7, and switching triodes T1 and T2. The converted signals are respectively connected with the address end of a double 4-channel numerical control analog switch CD4052 after passing through an inverter, the outputs CH 0-CH 3 of 2 CDs 4052 are respectively connected with 4 paths of analog quantity input ports of a PLC analog quantity expansion module DVP06XA-E2, and IN 00-1N 17 are respectively connected with 18 paths of temperature and humidity analog quantity signals. The data transmission of 3 ammonia concentration sensors adopts MODBUS-RTU mode, connects their output at COM2 communication port of PLC host computer through the bus to set up different addresses for communication.
After the monitoring and evaluation expert system module eliminates invalid data measured by the sensor module, calculating the measurement average value of the measurement data of the same type of sensor units in the sensor module, namely the measurement average value of input signals of all channels read from the output ports of all numerical control analog switches in a plurality of scanning periods, wherein the average value is used as a primary measurement value of the sensor:
wherein the content of the first and second substances,is the measurement average of m measurement values in the same sensor unit in the ith slot, m is the number of the measurement values, and t1+ t2+ … + tm is the sum of the m measurement values of the sensor units at different times.
The monitoring and evaluation expert system module calculates the mean square error of the mean value measured by the sensor unit:
wherein the content of the first and second substances,is the mean square error of the measured mean, ti(n) is the nth measurement data in the same sensor unit in the ith slot,is the average value of m measured values in the same sensor unit in the ith slot position, m is the number of the measured values, niIs the noise of the sensor unit in the ith slot.
And the monitoring and evaluation expert system module calculates the mean square error of the measured average value of the sensor units to obtain the optimal weighting factor:
wherein the content of the first and second substances,is the optimal weighting factor of the mean square error of the same sensor unit in the ith slot,is the mean square error of the measured mean, and k is the total number of slots of each sensor unit.
The monitoring and evaluation expert system module obtains the estimated value of the environmental parameter measured by the same type of sensor unit through the optimal weighting factor:
ti=t+ni
wherein the content of the first and second substances,is a parametric fusion estimate, k is the total number of sensor units,is the optimal weighting factor, t, of the mean square error of the same sensor unit in the ith slot positioniIs the estimated value of the same sensor in the ith slot position, t is the true value of the actual measurement average value of the same sensor unit in the ith slot position, niThe noise measured by the sensor unit in the ith slot at a certain time.
As noted above, while the present invention has been shown and described with reference to certain preferred embodiments, it is not to be construed as limited thereto. Various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. The utility model provides a fermentation bed padding management equips intelligence control system which characterized in that: comprises an object layer, an execution layer, a control layer and a system layer;
the object layer comprises a fermentation bed module as a control object;
the execution layer comprises a servo driver module, a frequency converter module and a sensor module: the servo driver module, the frequency converter module and the sensor module are all connected with the fermentation bed module, the servo driver module and the frequency converter module drive the fermentation bed module to complete automatic or manual operation, and the sensor module collects environmental parameters of different positions in the duck shed in a time-sharing manner and completes bacterium supplementing operation;
the control layer comprises a programmable logic control module and a fermentation bed performance monitoring system module: the programmable logic control module is connected with the servo driver module and the frequency converter module, issues an operation instruction of a system layer to the servo driver module and the frequency converter module, receives the environmental parameters collected by the sensor module through a wireless communication technology, and sends the environmental parameters to the fermentation bed performance monitoring system module and the system layer through the wireless communication technology; the fermentation bed performance monitoring system module monitors environmental parameters;
the system layer comprises a central system module, a data processing module and a monitoring and evaluating expert system module; the central system module is used for coordinating all work tasks in a comprehensive mode, and the data processing module is connected with the central system module to store a data set, a system configuration program and a configuration picture generated by the operation of the central system module; the monitoring and evaluating expert system module adopts a self-adaptive weighted average fusion algorithm to a plurality of environmental parameters of the same type in the duck shed acquired by the sensor module in a time-sharing manner to obtain a final measurement value of each type, and fermentation bed decision service is provided for different meat duck types and different padding materials according to the final measurement data; the data processing module and the fermentation bed performance monitoring system module are connected with the monitoring and evaluation expert system module and are used for carrying out data support on the monitoring and evaluation expert system module, and the data processing module is also used for dispatching a fermentation bed decision service operation instruction made by the fermentation bed performance monitoring system module to the programming logic control module.
2. The intelligent control system of fermentation bed bedding management equipment of claim 1, wherein: the central system module comprises an execution monitoring unit, an alarm unit and a report unit which are connected with the task scheduling unit; the monitoring unit is used for monitoring and controlling automatic or manual operation of the fermentation bed module, the alarm unit is used for prompting an alarm when a system fails, prompting a fault reason and giving a solution, and the report unit is used for summarizing and storing data of the sensor module;
the data processing module comprises a configuration database, an operation database and a task scheduling unit, wherein the configuration database is used for storing a system configuration program and a configuration picture, the operation database is used for storing all data generated by the operation of the intelligent control system of the fermentation bed padding management equipment, and the task scheduling unit schedules a work task transmitted by the monitoring and evaluation expert system module to the logic control module;
the monitoring and evaluation expert system module is connected with the operation database, and the operation database supports the monitoring and evaluation expert system module; the monitoring and evaluating expert system module comprises a comprehensive database and a knowledge base, wherein the comprehensive database is connected with an inference engine unit and an interpretation interface unit, the knowledge base is connected with a knowledge acquisition unit and is connected with the inference engine unit and the interpretation interface unit, and the inference engine unit, the interpretation interface unit and the knowledge acquisition unit realize data interaction among experts, users, the comprehensive database and the knowledge base through a man-machine interface unit; the inference engine unit simulates the thinking activity rule of a human and automatically infers each data of the fermentation bed transmitted by wireless, the comprehensive database is used for storing original data and intermediate information obtained in inference, and the knowledge base is used for eliminating decision conflict and providing basis for the automatic operation of the fermentation bed; the monitoring and evaluating expert system module calls the comprehensive database to obtain a preset value of the environmental parameters in the duck shed, a deviation value for eliminating the coupling relation is obtained according to the actual measurement value of the sensor module, the error value between the actual measurement value and the preset value of the environmental parameters and the coupling relation of the environmental parameters in the duck shed, the deviation value is processed by a fuzzy controller in the monitoring and evaluating expert system module to obtain a fuzzy value, the fuzzy value is subjected to defuzzification to obtain an accurate value, and therefore the execution amplitude and time of the clothes driver module, the frequency converter module and the sensor module are determined.
3. The intelligent control system of fermentation bed bedding management equipment of claim 2, wherein: the duck shed internal environment parameters comprise temperature and humidity, and the monitoring and evaluating expert system module obtains the following parameters through the coupling relation existing between the temperature and the humidity:
eT=AeT+CeH;eH=BeT+DeH
wherein, e'TIs a temperature deviation value, e'HIs the deviation value of humidity eTIs the error between the preset temperature value and the actual temperature measurement value, eHIs the error value between the humidity preset value and the humidity actual measurement value, A, B, C, D is the coupling parameter, and a + B is 1, C + D is 1; A. b, C, D, the recommended value is given by the monitoring and evaluating expert system module, and then the value is processed by a program and self-adjusted on line according to the magnitude of the error value.
4. The fermentation bed padding management equipment intelligent control system as claimed in any one of claims 1-3, wherein: the sensor module comprises a plurality of proportional flow valve units, a plurality of temperature sensor units, a plurality of humidity sensor units, a plurality of ammonia sensor units and a plurality of PH sensor units, wherein the proportional flow valve units are used for the fungus supplementing operation of the fermentation bed, the temperature sensor units, the humidity sensor units, the ammonia sensor units and the PH sensor units are respectively used for monitoring the environmental temperature, the humidity, the ammonia value and the PH value in the duck shed, and the sensor module is distributed in one or more slots in the duck shed;
the monitoring and evaluation expert system module adopts a self-adaptive weighted average fusion algorithm to calculate the estimated value of the environmental parameters acquired by the sensor module in a time-sharing manner so as to accurately reflect the state of the duck shed; the environmental parameters also include ammonia gas level and PH level.
5. The fermentation bed padding management equipment intelligent control system of claim 4, wherein: the temperature sensor unit, the humidity sensor unit and the ammonia sensor unit are distributed at three different positions in the duck shed in equal parts, and each sensor unit generates an analog signal; the signals generated by the sensor module comprise 18 paths of temperature and humidity analog signals, wherein the number of the temperature analog signals and the number of the humidity analog signals are respectively 9, the 18 paths of analog signals are subjected to time-sharing data acquisition, switching signals output by the programmable logic control module are obtained and converted to be used as address gating signals, the address gating signals are connected with the address ends of the four-channel numerical control analog switches through the phase inverters, and the output ports of the numerical control analog switches are respectively connected with four paths of analog quantity input ports of the analog quantity expansion module and are respectively connected with the temperature and humidity analog quantity signals; the signals generated by the sensor module also comprise 3 paths of ammonia concentration analog signals, the output of the signals is connected with a communication port of the programmable logic control module through a bus, and the signals are communicated by setting different addresses; the conversion circuit comprises a resistor and a switching triode.
6. The intelligent control system for fermentation bed padding management equipment according to claim 4, wherein after the monitoring and evaluation expert system module eliminates invalid data measured by the sensor module, the measurement average value of the measurement data of the same type of sensor unit in the sensor module is calculated, namely the measurement average value of each channel input signal read from the output port of each numerical control analog switch in a plurality of scanning periods is taken as a measurement value of the sensor:
7. The intelligent control system for fermentation bed bedding management equipment as claimed in claim 6, wherein the monitoring and evaluation expert system module calculates the mean square error of the mean values measured by the sensor units:
wherein the content of the first and second substances,is the mean square error of the measured mean, ti(n) is the nth measurement data in the same sensor unit in the ith slot,is the average value of m measured values in the same sensor unit in the ith slot position, m is the number of the measured values, niIs the noise of the sensor unit in the ith slot.
8. The intelligent control system for fermentation bed padding management equipment according to claim 7, wherein the monitoring and evaluation expert system module finds an optimal weighting factor for the mean square error of the mean values measured by the sensor units:
9. The intelligent control system for fermentation bed padding management equipment according to claim 8, wherein the monitoring and evaluation expert system module obtains an estimated value of the environmental parameter measured by the same type of sensor unit through an optimal weighting factor:
ti=t+ni
wherein the content of the first and second substances,is a parametric fusion estimate, k is the total number of sensor units,is the optimal weighting factor, t, of the mean square error of the same sensor unit in the ith slot positioniIs the estimated value of the same sensor in the ith slot position, t is the true value of the actual measurement average value of the same sensor unit in the ith slot position, niThe noise measured by the sensor unit in the ith slot at a certain time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110145506.1A CN112965558A (en) | 2021-02-02 | 2021-02-02 | Intelligent control system for fermentation bed padding management equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110145506.1A CN112965558A (en) | 2021-02-02 | 2021-02-02 | Intelligent control system for fermentation bed padding management equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112965558A true CN112965558A (en) | 2021-06-15 |
Family
ID=76272051
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110145506.1A Pending CN112965558A (en) | 2021-02-02 | 2021-02-02 | Intelligent control system for fermentation bed padding management equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112965558A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1830521A (en) * | 2006-02-09 | 2006-09-13 | 中钢集团天澄环保科技股份有限公司 | Failure diagnosis method of bag type dust separation system |
CN203785827U (en) * | 2014-03-18 | 2014-08-20 | 徐州五洋科技股份有限公司 | Tension detection system for hydraulic tightening device |
CN104155925A (en) * | 2014-05-20 | 2014-11-19 | 马从国 | Henhouse micro climatic environment intelligent control system based on wireless sensor network |
CN106804461A (en) * | 2017-03-02 | 2017-06-09 | 北京市畜牧总站 | A kind of bedding and padding machine for turning up the soil and harrowing |
CN107562029A (en) * | 2017-08-29 | 2018-01-09 | 南阳华诚智能有限公司 | Internet of Things intelligently cultivates factory's control method |
CN208175703U (en) * | 2018-01-19 | 2018-12-04 | 安徽农业大学 | A kind of electric padding raking machine for cultivation fermentation bed |
CN112068623A (en) * | 2020-09-30 | 2020-12-11 | 内蒙古科技大学 | Greenhouse group intelligence management system based on internet |
-
2021
- 2021-02-02 CN CN202110145506.1A patent/CN112965558A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1830521A (en) * | 2006-02-09 | 2006-09-13 | 中钢集团天澄环保科技股份有限公司 | Failure diagnosis method of bag type dust separation system |
CN203785827U (en) * | 2014-03-18 | 2014-08-20 | 徐州五洋科技股份有限公司 | Tension detection system for hydraulic tightening device |
CN104155925A (en) * | 2014-05-20 | 2014-11-19 | 马从国 | Henhouse micro climatic environment intelligent control system based on wireless sensor network |
CN106804461A (en) * | 2017-03-02 | 2017-06-09 | 北京市畜牧总站 | A kind of bedding and padding machine for turning up the soil and harrowing |
CN107562029A (en) * | 2017-08-29 | 2018-01-09 | 南阳华诚智能有限公司 | Internet of Things intelligently cultivates factory's control method |
CN208175703U (en) * | 2018-01-19 | 2018-12-04 | 安徽农业大学 | A kind of electric padding raking machine for cultivation fermentation bed |
CN112068623A (en) * | 2020-09-30 | 2020-12-11 | 内蒙古科技大学 | Greenhouse group intelligence management system based on internet |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101782771B (en) | Spinning process intelligent optimized design method based on immune neural network | |
CN112817354B (en) | Livestock and poultry house cultivation environment temperature prediction control system and regulation and control method thereof | |
CN113126490B (en) | Intelligent frequency conversion oxygenation control method and device | |
CN102902257B (en) | sewage treatment process optimization and energy-saving control system and method | |
CN102122134A (en) | Method and system for wastewater treatment of dissolved oxygen control based on fuzzy neural network | |
Simutis et al. | Fuzzy-aided neural network for real-time state estimation and process prediction in the alcohol formation step of production-scale beer brewing | |
CN103197539A (en) | Wastewater disposal intelligent optimization control aeration quantity method | |
CN109857056A (en) | A kind of Intelligent sewage processing control system | |
Xing et al. | Development of intelligent information monitoring system in greenhouse based on wireless sensor network | |
Zhang et al. | A prototype neural network supervised control system for Bacillus thuringiensis fermentations | |
CN106774222A (en) | Municipal sewage treatment digitizes accuracy-control system and Intelligent Simulation Method | |
Mustafa et al. | A review of smart fish farming systems | |
CN105259827A (en) | Real-time monitoring system and real-time monitoring method for solid fermentation process condition | |
Simutis et al. | How to increase the performance of models for process optimization and control | |
CN112965558A (en) | Intelligent control system for fermentation bed padding management equipment | |
Alaviyan et al. | Design and manufacture of a smart greenhouse with supervisory control of environmental parameters using fuzzy inference controller | |
CN106950824A (en) | Stalk fermentation alcohol fuel process feeding prediction control system and method based on fuzzy neural network | |
CN101833281A (en) | Control method for saving energy of aeration in sewage treatment | |
Wang et al. | A feedback control method for plant factory environment based on photosynthetic rate prediction model | |
Tryputen et al. | Laboratory bench to analyze of automatic control system with a fuzzy controller | |
CN103472729A (en) | Crowd-sourcing system and method for controlling harmful emissions of pesticide waste liquid incinerator to reach standard | |
CN113552806B (en) | Breeding house environment parameter analysis method based on fuzzy control algorithm | |
CN103472727A (en) | Crowd-sourcing weighted system and method for controlling harmful emissions of pesticide waste liquid incinerator to reach standard | |
Dorresteijn et al. | Current good manufacturing practice in plant automation of biological production processes | |
CN117236650B (en) | Water-fertilizer integrated intelligent pump house control method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |