CN113433868B - Integrated remote control automatic loading system for producing porous granular ammonium nitrate - Google Patents
Integrated remote control automatic loading system for producing porous granular ammonium nitrate Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- G05B2219/23—Pc programming
- G05B2219/23051—Remote control, enter program remote, detachable programmer
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to the technical field of quantitative control, in particular to an automatic loading system for producing porous granular ammonium nitrate by integrated remote control. The intelligent control system comprises an infrastructure unit, a data processing unit, an intelligent control unit and a functional application unit; the infrastructure unit is used for providing basic equipment for supporting the operation of the system; the data processing unit is used for acquiring real-time state values of the system and carrying out corresponding calculation; the intelligent regulation and control unit is used for intelligently regulating and controlling the system; the functional application unit is used for perfecting the functionality of the system. The design of the invention can more quickly and accurately quantify the discharge amount of the materials, improve the loading efficiency and reduce the resource waste; the temperature and humidity changes of the materials can be monitored in real time, the quality of the materials can be predicted and judged, and the quality control of the materials can be realized; the system can control a plurality of field operation ends of the loading system, and computer control products do not need to be loaded on the field of a production workshop, so that a safer working environment is provided for workers and computer products.
Description
Technical Field
The invention relates to the technical field of quantitative control, in particular to an automatic loading system for producing porous granular ammonium nitrate by integrated remote control.
Background
The porous granular ammonium nitrate is a chemical substance, is a production raw material of a plurality of chemical products, and is generally in a relatively uniform granular shape. After the porous ammonium nitrate is produced and formed, the porous ammonium nitrate needs to be loaded to other workshops for further processing or packaged for delivery. The capacity of the conventional carrying vehicle is fixed, so that when loading, if the materials can be quantitatively discharged according to the capacity of the carrying vehicle, the loading can be better carried out, the loading efficiency is improved, the materials which are possibly overflowed or scattered when the discharging amount is reduced, and the resource waste is reduced. Meanwhile, the porous ammonium nitrate is likely to melt and deform under a certain high-temperature environment, so that the quality of the delivered materials is affected, and the quality of the materials cannot be monitored in the feeding process of the conventional loading system at present. In addition, in a workshop for chemical products, more harmful substances often exist, are emitted in the air, not only can the human health be influenced, but also the operation condition of a computer product can be influenced, the service life of the product is influenced, and a management and control mechanism is inconvenient to set on site in many times.
Disclosure of Invention
The invention aims to provide an automatic loading system for integrally and remotely controlling the production of porous granular ammonium nitrate, which solves the problems in the prior art.
To achieve the above-mentioned object, the present invention provides an automated loading system for integrated remote control of porous ammonium nitrate granules, comprising
The system comprises an infrastructure unit, a data processing unit, an intelligent regulation and control unit and a functional application unit; the signal output end of the infrastructure unit is connected with the signal input end of the data processing unit, the signal output end of the data processing unit is connected with the signal input end of the intelligent control unit, and the signal output end of the intelligent control unit is connected with the signal input end of the function application unit; the infrastructure unit is used for providing basic equipment, a terminal and an intelligent sensor for supporting the operation of the system; the data processing unit is used for acquiring real-time state values in the running process of the system and performing corresponding calculation processing; the intelligent regulation and control unit is used for intelligently regulating and controlling the whole process of the system in different modes; the functional application unit is used for expanding application services to perfect the functionality of the system;
the infrastructure unit comprises a control terminal module, a quantitative equipment module, a state sensing module and a network communication module;
the data processing unit comprises a data acquisition module, a classification and induction module, a statistic and calculation module and an uploading and feedback module;
the intelligent regulation and control unit comprises a centralized management and control module, a decentralized autonomous module, a remote regulation and control module and a field control module;
the function application unit comprises a fault monitoring module, a quality control module, a shutdown reporting module and a statistic reporting module.
As a further improvement of the technical scheme, the control terminal module, the quantitative device module and the state sensing module are sequentially connected through ethernet communication; the control terminal module is used for carrying out distribution management and control on terminal equipment providing calculation management and control functions; the quantitative equipment module is used for providing equipment for quantitatively measuring the loading materials and managing and controlling the equipment; the state sensing module is used for measuring and uploading state values in real time through intelligent sensing devices arranged on equipment at each position of the system; the network communication module is used for providing signal access and data transmission channels for all layers of the system and among all intelligent devices.
The control terminal includes, but is not limited to, an industrial personal computer, a display, a microprocessor, a controller, an electromagnetic valve, and the like.
Wherein the dosing device includes, but is not limited to, a weighing module, a solid flow meter, a weighbridge, and the like.
The intelligent sensing device includes, but is not limited to, a solid flow meter, a temperature and humidity sensor, and the like.
The network communication technology includes, but is not limited to, a local area network, a wired network, wireless WiFi, bluetooth, etc.
As a further improvement of the technical solution, a signal output end of the data acquisition module is connected with a signal input end of the classification induction module, a signal output end of the classification induction module is connected with a signal input end of the statistics measurement and calculation module, and a signal output end of the statistics measurement and calculation module is connected with a signal input end of the upload feedback module; the data acquisition module is used for acquiring state values in real time through the intelligent sensors which are distributed and arranged and uploading the state values to the calculation layer in time; the classification induction module is used for classifying and inducing the collected data according to a specific standard and storing the data; the statistical measurement and calculation module is used for carrying out statistics and measurement calculation on index data required by the system; and the uploading feedback module is used for uploading the index values obtained by calculation to the control layer in time to be used as the basis of regulation and control decision.
As a further improvement of the technical solution, the classification induction module adopts a naive bayes algorithm, and the calculation formula thereof is as follows:
wherein X is a given set and P is X belonging to class C i P is the probability of classification by conditionally independent attributes.
As a further improvement of the technical scheme, the statistical measurement and calculation module comprises a temperature variable module, a humidity variable module, a volume conversion module and a flow rate control module; the temperature variable module, the humidity variable module, the volume conversion module and the flow rate control module run in parallel; the temperature variable module is used for acquiring the temperature in the feeding pipeline in real time, calculating a temperature variable value and judging the material condition by comparing the real-time temperature value with a preset temperature threshold value; the humidity variable module is used for acquiring the humidity in the feeding pipeline in real time, calculating a humidity variable value and judging the material condition by comparing the real-time humidity value with a preset humidity threshold value; the volume conversion module is used for converting the measured mass of the material into a volume value to judge whether the volume value accords with the capacity of the carrying vehicle or not, and carrying out reweigh detection on the carrying vehicle and the loaded material quantity through devices such as a weighbridge and the like; the flow rate control module is used for adjusting the discharge flow rate of the materials according to the loading requirement.
The calculated temperature variable can be used for detecting the running condition of the equipment and avoiding overheating of the equipment, the temperature threshold value is the lowest temperature value capable of causing melting of the material, and the phenomenon that the material is melted due to overhigh temperature is avoided, so that the quality of the material is reduced.
Wherein, the calculated humidity variable can be used for detecting whether liquid leakage or material melting occurs in the equipment, and the humidity threshold value is the humidity generated after the surface of the material is melted.
As a further improvement of the technical solution, the calculation expression of the volume conversion module is:
ρ＝m/V；
m′＝ρV′；
wherein rho is the quantitative density of the material, namely the density value measured by filling the material in a constant volume container after the material is formed, m is the total mass of the material which can be contained in the constant volume container, and V is the volume of the constant volume container; m 'is the total mass of the material that can be held by the loading vehicle, and V' is the volume of the loading vehicle.
As a further improvement of the present technical solution, the calculation expression of the flow rate control module is:
v＝P t /S；
S＝πr 2 ；
wherein v is the material flow rate in the time period t, P t The total flow of the materials in the time period t, S is the inner side sectional area of the feeding pipeline, and r is the inner radius value of the feeding pipeline.
As a further improvement of the technical solution, a signal output end of the centralized control module is connected with signal input ends of the decentralized autonomous module, the remote control module and the field control module; the centralized control module is used for performing centralized control on loading, distribution and flow direction of the materials through the master control processor; the distributed autonomous module is used for respectively and autonomously managing different loading system operation ends; the remote regulation and control module is used for remotely sending a working instruction to the field controller by the industrial personal computer through a communication transmission technology so as to control the operation process of the operation end of the field loading system; and the field control module is used for directly managing and controlling the operation process of the loading operation end by an industrial personal computer arranged on the field.
As a further improvement of the technical scheme, the fault monitoring module, the quality control module, the shutdown reporting module and the statistics reporting module are sequentially connected through ethernet communication and operate in parallel; the fault monitoring module is used for monitoring the operation process of the system in real time through distributed sensors and analysis results of state data and giving an alarm when the operation is abnormal; the quality control module is used for monitoring the temperature and humidity states of the conveyed materials so as to judge and control the quality of the materials; the shutdown reporting module is used for autonomously suspending the corresponding field device at the operation end of the loading system and reporting the device to the master control layer when detecting that the system fails or the quality of the materials in the process of conveying is poor, so that personnel can be arranged to go to the field for processing or maintenance in time; the statistical report module is used for regularly counting the operation conditions of each field operation end of the loading system and forming a corresponding report graph for looking up and backtracking.
The invention also aims to provide an operation method of the automatic loading system for the integrated remote control production of the porous granular ammonium nitrate, which comprises the following steps:
s1, firstly, forming a porous ammonium nitrate grain product to leave a factory, firstly, measuring the quantitative density of a material by using a constant-volume container, recording the quantitative density into a master control processor, inputting a temperature threshold parameter according to the lowest melting temperature of the porous ammonium nitrate grain product, and inputting a humidity threshold parameter according to the melting humidity of the porous ammonium nitrate;
s2, reasonably arranging and starting enough field loading system operation ends by a master control processor according to the number and the circulation speed of the loaded vehicles, and distributing corresponding materials to each operation end;
s3, when the loading vehicle reaches the place of the earth balance at the designated position, the system calculates the total mass of the materials which can be loaded by the vehicle according to the capacity of the loading vehicle, and the mass of the materials is weighed in real time in the material conveying process or is converted and calculated into a mass value through the flow value of the solid flowmeter;
s4, when the materials are loaded into the loading vehicle, the total mass of the materials is rechecked in real time through the weighbridge and fed back to the control layer in time, excessive material discharge is avoided, and meanwhile the amount of the materials which are not discharged is supplemented in time;
s5, in the material conveying process, a temperature and humidity sensor arranged in the material conveying pipeline measures the temperature and the humidity in the pipeline in real time, calculates the temperature/humidity variable in real time, compares the real-time temperature/humidity with a preset threshold value, and sends a report to a control layer when the temperature/humidity reaches or exceeds the threshold value;
s6, in the system operation process, the industrial personal computer is installed on the site and can directly carry out decentralized site control, and the industrial personal computer which is not installed on the site can send a remote working instruction to the site controller through the master control processor;
s7, when the system runs abnormally in the running process or serious quality problems of materials in conveying are detected, the system can automatically perform local equipment shutdown operation and report the operation in time so as to arrange workers to go to the site for treatment or maintenance in time;
and S8, the system periodically counts the working conditions in a certain time period, including the material loading amount, the loading efficiency, the fault condition, the frequency, the material quality condition and the like, forms a corresponding report and stores the report in the system for looking up or backtracking.
The invention also aims to provide an operation device of the automatic loading system for the integrated remote control production of the porous granular ammonium nitrate, which comprises a processor, a memory and a computer program stored in the memory and operated on the processor, wherein the processor is used for realizing the automatic loading system for the integrated remote control production of the porous granular ammonium nitrate when executing the computer program.
It is a fourth object of the present invention to provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the above automated make-up systems for integrated remote controlled production of porous prilled ammonium nitrate.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the automatic loading system for producing the integrated remote control porous granular ammonium nitrate, the quantitative system consisting of the solid flow meter, the weighing module, the weighbridge and other quantitative devices is arranged, so that the discharge amount of materials can be more quickly and accurately quantified, the loading efficiency is improved, and the resource waste is reduced;
2. according to the automatic loading system for producing the integrated remote-control porous granular ammonium nitrate, the temperature and humidity sensor is arranged in the feeding pipeline, so that the temperature and humidity change of materials in the conveying process can be monitored in real time, the quality of the materials is predicted and judged, and the quality control of the outgoing materials is realized;
3. according to the automatic loading system for producing the integrated remote control porous granular ammonium nitrate, the master control processor is arranged remotely, so that a plurality of field operation ends of the loading system can be controlled in a centralized or dispersed manner, remotely or on site, computer control products do not need to be loaded on the site in a production workshop, and a safer working environment is provided for workers and computer products.
Drawings
FIG. 1 is a block diagram of an exemplary product architecture of the present invention;
FIG. 2 is a block diagram of the overall system apparatus of the present invention;
FIG. 3 is a diagram of one embodiment of a local system device architecture;
FIG. 4 is a second block diagram of a local system apparatus according to the present invention;
FIG. 5 is a third block diagram of a local system apparatus according to the present invention;
FIG. 6 is a fourth embodiment of the present invention;
FIG. 7 is a fifth embodiment of the present invention;
fig. 8 is a block diagram of an exemplary electronic computer product of the present invention.
The various reference numbers in the figures mean:
1. a material distribution master control processor; 2. a bus communicator; 3. a field quantitative industrial personal computer; 4. a weighbridge; 5. a weighing module; 6. a control valve; 7. a solids flow meter; 8. a temperature and humidity sensor; 9. a production workshop master control system;
100. an infrastructure unit; 101. a control terminal module; 102. a dosing device module; 103. a state sensing module; 104. a network communication module;
200. a data processing unit; 201. a data acquisition module; 202. a classification and induction module; 203. a statistic measuring and calculating module; 2031. a temperature variable module; 2032. a humidity variable module; 2033. a volume conversion module; 2034. a flow rate control module; 204. an upload feedback module;
300. an intelligent control unit; 301. a centralized control module; 302. a decentralized autonomous module; 303. a remote regulation module; 304. a field control module;
400. a function application unit; 401. a fault monitoring module; 402. a quality control module; 403. a shutdown reporting module; 404. and a statistic report module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1-8, the present embodiment provides an automated loading system for integrated remote control of porous prilled ammonium nitrate production, comprising
The system comprises an infrastructure unit 100, a data processing unit 200, an intelligent regulation and control unit 300 and a functional application unit 400; the signal output end of the infrastructure unit 100 is connected with the signal input end of the data processing unit 200, the signal output end of the data processing unit 200 is connected with the signal input end of the intelligent control unit 300, and the signal output end of the intelligent control unit 300 is connected with the signal input end of the function application unit 400; the infrastructure unit 100 is used for providing basic equipment, terminals and intelligent sensors for supporting the operation of the system; the data processing unit 200 is used for acquiring real-time state values in the system operation process and performing corresponding calculation processing; the intelligent control unit 300 is used for intelligently controlling and managing the whole system process in different ways; the function application unit 400 is used to extend application services to complete the functionality of the system;
the infrastructure unit 100 comprises a control terminal module 101, a quantitative equipment module 102, a state sensing module 103 and a network communication module 104;
the data processing unit 200 comprises a data acquisition module 201, a classification induction module 202, a statistic calculation module 203 and an upload feedback module 204;
the intelligent regulation and control unit 300 comprises a centralized management and control module 301, a decentralized autonomous module 302, a remote regulation and control module 303 and a field control module 304;
the functional application unit 400 includes a fault monitoring module 401, a quality control module 402, a shutdown reporting module 403, and a statistics reporting module 404.
In this embodiment, the control terminal module 101, the quantifying device module 102, and the state sensing module 103 are sequentially connected through ethernet communication; the control terminal module 101 is used for performing distribution management and control on terminal equipment providing calculation management and control functions; the quantitative equipment module 102 is used for providing equipment for quantitatively measuring the loading materials and managing and controlling the equipment; the state sensing module 103 is used for measuring and uploading state values in real time through intelligent sensing devices arranged on equipment at each position of the system; the network communication module 104 is used for providing signal access and data transmission channels between the intelligent devices and the various layers of the system.
The control terminal includes, but is not limited to, an industrial personal computer, a display, a microprocessor, a controller, an electromagnetic valve, and the like.
Wherein the dosing device includes, but is not limited to, a weighing module, a solid flow meter, a weighbridge, and the like.
The intelligent sensing device includes, but is not limited to, a solid flow meter, a temperature and humidity sensor, and the like.
The network communication technology includes, but is not limited to, a local area network, a wired network, wireless WiFi, bluetooth, etc.
In this embodiment, the signal output end of the data acquisition module 201 is connected to the signal input end of the classification induction module 202, the signal output end of the classification induction module 202 is connected to the signal input end of the statistics measurement and calculation module 203, and the signal output end of the statistics measurement and calculation module 203 is connected to the signal input end of the upload feedback module 204; the data acquisition module 201 is configured to acquire a state value in real time through each intelligent sensor arranged in a distributed manner and upload the state value to a computation layer in time; the classification induction module 202 is used for classifying and inducing the collected data according to a specific standard and storing the data; the statistical measurement and calculation module 203 is used for performing statistical and measurement calculation on index data required by the system; the upload feedback module 204 is configured to upload the calculated index value to the control layer in time to serve as a basis for a regulation decision.
Specifically, the classification induction module 202 adopts a naive bayes algorithm, and the calculation formula is as follows:
wherein X is a given set, PC i I X is X belongs to class C i A posterior probability of (PX | C) i Probabilities categorized by conditionally independent attributes.
Further, the statistical calculation module 203 includes a temperature variable module 2031, a humidity variable module 2032, a volume conversion module 2033, and a flow rate control module 2034; the temperature variable module 2031, the humidity variable module 2032, the volume conversion module 2033 and the flow rate control module 2034 operate in parallel; the temperature variable module 2031 is configured to obtain the temperature in the feeding pipeline in real time, calculate a temperature variable value, and determine a material condition by comparing the real-time temperature value with a preset temperature threshold value; the humidity variable module 2032 is used for acquiring the humidity in the feeding pipeline in real time, calculating a humidity variable value, and judging the material condition by comparing the real-time humidity value with a preset humidity threshold value; the volume conversion module 2033 is configured to convert the measured mass of the material into a volume value to determine whether the volume value meets the capacity of the carrier vehicle, and perform reweigh detection on the carrier vehicle and the loaded material amount by using a device such as a weighbridge; the flow rate control module 2034 is configured to adjust the discharge flow rate of the material based on the loading requirements.
The calculated temperature variable can be used for detecting the operation condition of equipment, so that the equipment is prevented from being overheated, the temperature threshold value is the lowest temperature value capable of causing material melting, and the material melting caused by overhigh temperature is prevented from reducing the quality of the material.
Wherein, the calculated humidity variable can be used for detecting whether liquid leakage or material melting occurs in the equipment, and the humidity threshold value is the humidity generated after the surface of the material is melted.
Specifically, the volume conversion module 2033 has the calculation expression:
ρ＝m/V；
m′＝ρV′；
wherein rho is the quantitative density of the material, namely the density value measured by filling the material in a constant volume container after the material is formed, m is the total mass of the material which can be contained in the constant volume container, and V is the volume of the constant volume container; m 'is the total mass of the material that can be held by the loading vehicle, and V' is the volume of the loading vehicle.
Specifically, the flow rate control module 2034 has the computational expression:
v＝P t /S；
S＝πr 2 ；
wherein v is the material flow rate in the time period t, P t Is the total flow of the materials in the time period t, S is the inner side sectional area of the feeding pipeline, and r is the inner radius value of the feeding pipeline.
In this embodiment, the signal output end of the centralized control module 301 is connected to the signal input ends of the decentralized autonomous module 302, the remote control module 303, and the field control module 304; the centralized control module 301 is used for performing centralized control on loading, distribution and flow direction of the materials through a master control processor; the decentralized autonomous module 302 is used for respectively performing autonomous management on different loading system operation ends; the remote control module 303 is used for remotely sending a working instruction to a field controller by an industrial personal computer through a communication transmission technology so as to control the operation process of a field loading system working end; the field control module 304 is used for directly managing and controlling the operation process of the loading operation end by an industrial personal computer arranged on the field.
In this embodiment, the fault monitoring module 401, the quality control module 402, the shutdown reporting module 403, and the statistics reporting module 404 are sequentially connected through ethernet communication and operate in parallel; the fault monitoring module 401 is configured to monitor an operation process of the system in real time through distributed sensors and analysis results of the state data, and send an alarm when the operation is abnormal; the quality control module 402 is used for monitoring the temperature and humidity states of the materials in conveying so as to judge and control the quality of the materials; the shutdown reporting module 403 is configured to autonomously suspend a corresponding field device at the operation end of the loading system and report the field device to the master control layer when detecting that a system fault or a quality problem exists in the material being transported, so as to arrange a person to go to the field for processing or maintenance in time; the statistical report module 404 is configured to perform statistics on the operation conditions of each field operation end of the loading system at regular time and form a corresponding report graph for looking up and backtracking.
The embodiment also provides an operation method of the automatic loading system for producing the porous granular ammonium nitrate by integrated remote control, which comprises the following steps:
s1, firstly, forming a porous ammonium nitrate product to leave a factory, firstly, measuring the quantitative density of a material by using a constant-volume container, recording the quantitative density into a master control processor, inputting a temperature threshold parameter according to the lowest melting temperature of porous ammonium nitrate, and inputting a humidity threshold parameter according to the melting humidity of porous ammonium nitrate;
s2, reasonably arranging and starting enough field loading system operation ends by a master control processor according to the number and the circulation speed of the loaded vehicles, and distributing corresponding materials to each operation end;
s3, when the loading vehicle reaches the place of the earth balance at the designated position, the system calculates the total mass of the materials which can be loaded by the vehicle according to the capacity of the loading vehicle, and the mass of the materials is weighed in real time in the material conveying process or is converted and calculated into a mass value through the flow value of the solid flowmeter;
s4, when the materials are loaded into the loading vehicle, the total mass of the materials is rechecked in real time through the weighbridge and fed back to the control layer in time, excessive material discharge is avoided, and meanwhile the material quantity insufficient in material discharge is complemented in time;
s5, in the material conveying process, a temperature and humidity sensor arranged in the feeding pipeline measures the temperature and the humidity in the pipeline in real time, calculates a temperature/humidity variable in real time, compares the real-time temperature/humidity with a preset threshold value, and sends a report to a control layer when the temperature/humidity reaches or exceeds the threshold value;
s6, in the system operation process, the industrial personal computer is installed on site and can directly carry out decentralized site control, and a remote working instruction which is not loaded with the industrial personal computer on site can be sent to a site controller through a master control processor;
s7, when the system runs abnormally in the running process or serious quality problems of materials in conveying are detected, the system can automatically perform local equipment shutdown operation and report the operation in time so as to arrange workers to go to the site for treatment or maintenance in time;
and S8, the system periodically counts the working conditions in a certain time period, including the material loading amount, the loading efficiency, the fault condition, the frequency, the material quality condition and the like, forms a corresponding report and stores the report in the system for looking up or backtracking.
As shown in fig. 1, the present embodiment further provides an exemplary product architecture of an automated loading system for integrated remote control of production of porous granular ammonium nitrate, which includes a material distribution master control processor 1, the material distribution master control processor 1 is connected to a plurality of field quantitative industrial personal computers 3 through a bus communicator 2 and a field bus, each field quantitative industrial personal computer 3 is connected to a weighbridge 4, a weighing module 5, a control valve 6, a solid flow meter 7 and a temperature and humidity sensor 8 which are arranged on the field, and the material distribution master control processor 1 can be connected to a production workshop master control system 9 through a local area network, and can also operate independently.
As shown in fig. 6, the present embodiment also provides an operating device for an automated loading system for integrated remote control of porous prilled ammonium nitrate production, the device comprising a processor, a memory, and a computer program stored in the memory and operating on the processor.
The processor comprises one or more than one processing core, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the automatic loading system for the integrated remote control production of the porous granular ammonium nitrate is realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the invention also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program is executed by a processor to realize the automatic loading system for the integrated remote control production of the porous granular ammonium nitrate.
Alternatively, the present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to execute the above aspects of an automated loadlock system for integrated remote control of porous granular ammonium nitrate production.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, where the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. Integration remote control porous granular ammonium nitrate production's automatic loading system, its characterized in that: comprises that
The system comprises an infrastructure unit (100), a data processing unit (200), an intelligent regulation and control unit (300) and a function application unit (400); the signal output end of the infrastructure unit (100) is connected with the signal input end of the data processing unit (200), the signal output end of the data processing unit (200) is connected with the signal input end of the intelligent control unit (300), and the signal output end of the intelligent control unit (300) is connected with the signal input end of the function application unit (400); the infrastructure unit (100) is used for providing basic equipment, terminals and intelligent sensors for supporting system operation; the data processing unit (200) is used for acquiring real-time state values in the system operation process and performing corresponding calculation processing; the intelligent regulation and control unit (300) is used for intelligently regulating and controlling the whole process of the system in different modes; the function application unit (400) is used for expanding application services to perfect the functionality of the system;
the infrastructure unit (100) comprises a control terminal module (101), a quantitative equipment module (102), a state sensing module (103) and a network communication module (104);
the data processing unit (200) comprises a data acquisition module (201), a classification and induction module (202), a statistic and calculation module (203) and an uploading and feedback module (204);
the intelligent regulation and control unit (300) comprises a centralized management and control module (301), a decentralized autonomous module (302), a remote regulation and control module (303) and a field control module (304);
the function application unit (400) comprises a fault monitoring module (401), a quality control module (402), a shutdown reporting module (403) and a statistic reporting module (404);
the control terminal module (101), the quantitative equipment module (102) and the state sensing module (103) are sequentially connected through Ethernet communication; the control terminal module (101) is used for distributing, managing and controlling terminal equipment providing calculation management and control functions; the quantitative equipment module (102) is used for providing equipment for quantitatively measuring the loading materials and managing and controlling the equipment; the state sensing module (103) is used for measuring and uploading state values in real time through intelligent sensing devices arranged on equipment at each position of the system; the network communication module (104) is used for providing signal access and data transmission channels among various layers of the system and various intelligent devices;
the signal output end of the data acquisition module (201) is connected with the signal input end of the classification induction module (202), the signal output end of the classification induction module (202) is connected with the signal input end of the statistics measuring and calculating module (203), and the signal output end of the statistics measuring and calculating module (203) is connected with the signal input end of the uploading feedback module (204); the data acquisition module (201) is used for acquiring state values in real time through the intelligent sensors which are distributed and arranged and uploading the state values to the calculation layer in time; the classification induction module (202) is used for classifying and inducing the collected data according to a specific standard and storing the data; the statistical measurement and calculation module (203) is used for carrying out statistical and measurement calculation on index data required by the system; the uploading feedback module (204) is used for uploading the index values obtained by calculation to the control layer in time to be used as the basis of regulation and control decision;
the statistical measurement module (203) comprises a temperature variable module (2031), a humidity variable module (2032), a volume conversion module (2033) and a flow rate control module (2034); the temperature variation module (2031), the humidity variation module (2032), the volume conversion module (2033) and the flow rate control module (2034) operate in parallel; the temperature variable module (2031) is used for acquiring the temperature in the feeding pipeline in real time, calculating the temperature variable value and judging the material condition by comparing the real-time temperature value with a preset temperature threshold value; the humidity variable module (2032) is used for acquiring humidity in the feeding pipeline in real time, calculating a humidity variable value and judging the material condition by comparing the real-time humidity value with a preset humidity threshold value; the volume conversion module (2033) is used for converting the measured material mass into a volume value to judge whether the volume value meets the capacity of the carrying vehicle or not, and carrying out double-scale detection on the carrying vehicle and the loaded material amount through the weighbridge device; the flow rate control module (2034) is used for adjusting the discharge flow rate of the materials according to the loading requirement;
the signal output end of the centralized control module (301) is connected with the signal input ends of the decentralized autonomous module (302), the remote control module (303) and the field control module (304); the centralized control module (301) is used for performing centralized control on loading, distribution and flow direction of materials through a master control processor; the distributed autonomous module (302) is used for respectively and autonomously managing different loading system operation ends; the remote control module (303) is used for remotely sending a working instruction to the field controller by the industrial personal computer through a communication transmission technology so as to control the operation process of the field loading system working end; and the field control module (304) is used for controlling the operation process of a loading operation end of the industrial personal computer directly arranged on the field.
2. The integrated, remotely operated, automated loadout system for production of porous prilled ammonium nitrate according to claim 1, wherein: the classification induction module (202) adopts a naive Bayes algorithm, and the calculation formula is as follows:
wherein X is a given set, P (C) i I X) is X belongs to class C i A posterior probability of (D), P (X | C) i ) Probabilities categorized by conditionally independent attributes.
3. The integrated, remotely operated, automated loadout system for production of porous prilled ammonium nitrate according to claim 1, wherein: the volume conversion module (2033) has the computational expression:
wherein the content of the first and second substances,
the material is the quantitative density of the material, namely the density value measured by filling the material in a constant volume container after the material is formed, m is the total mass of the material which can be contained in the constant volume container, and V is the volume of the constant volume container;
in order to load the total mass of material that can be contained by the vehicle,
to load the volume of the vehicle.
4. The integrated, remotely operated, automated loadout system for production of porous prilled ammonium nitrate according to claim 3, wherein: the flow rate control module (2034) has the computational expression:
wherein v is the material flow rate in the time period t,
the total flow of the materials in the time period t, S is the inner side sectional area of the feeding pipeline, and r is the inner radius value of the feeding pipeline.
5. The integrated, remotely operated, automated loadout system for production of porous prilled ammonium nitrate according to claim 1, wherein: the fault monitoring module (401), the quality control module (402), the shutdown reporting module (403) and the statistic reporting module (404) are sequentially connected through Ethernet communication and run in parallel; the fault monitoring module (401) is used for monitoring the operation process of the system in real time through distributed sensors and analysis results of state data and giving an alarm when the operation is abnormal; the quality control module (402) is used for monitoring the temperature and humidity states of the conveyed materials so as to judge and control the quality of the materials; the shutdown reporting module (403) is used for autonomously suspending a corresponding field device at the operation end of the loading system and reporting the device to a master control layer when detecting that a system fault or a quality problem exists in the material during transportation, so that personnel can be arranged to go to the field for processing or maintenance in time; the statistical report module (404) is used for regularly counting the operation conditions of each field operation end of the loading system and forming a corresponding report graph for looking up and backtracking.
6. The integrated, remotely operated, automated loadout system for production of porous prilled ammonium nitrate according to claim 1, wherein: the operation method of the loading system comprises the following steps:
s1, firstly, forming a porous ammonium nitrate product to leave a factory, firstly, measuring the quantitative density of a material by using a constant-volume container, recording the quantitative density into a master control processor, inputting a temperature threshold parameter according to the lowest melting temperature of porous ammonium nitrate, and inputting a humidity threshold parameter according to the melting humidity of porous ammonium nitrate;
s2, reasonably arranging and starting enough field loading system operation ends by a master control processor according to the number and the circulation speed of the loaded vehicles, and distributing corresponding materials to each operation end;
s3, when the loading vehicle reaches the place of the earth balance at the designated position, the system calculates the total mass of the materials which can be loaded by the vehicle according to the capacity of the loading vehicle, and the mass of the materials is weighed in real time in the material conveying process or is converted and calculated into a mass value through the flow value of the solid flowmeter;
s4, when the materials are loaded into the loading vehicle, the total mass of the materials is rechecked in real time through the weighbridge and fed back to the control layer in time, excessive material discharge is avoided, and meanwhile the material quantity insufficient in material discharge is complemented in time;
s5, in the material conveying process, a temperature and humidity sensor arranged in the material conveying pipeline measures the temperature and the humidity in the pipeline in real time, calculates the temperature/humidity variable in real time, compares the real-time temperature/humidity with a preset threshold value, and sends a report to a control layer when the temperature/humidity reaches or exceeds the threshold value;
s6, in the system operation process, the industrial personal computer is installed on the site and can directly carry out decentralized site control, and the industrial personal computer which is not installed on the site can send a remote working instruction to the site controller through the master control processor;
s7, when the system runs abnormally in the running process or serious quality problems of materials in conveying are detected, the system automatically stops local equipment and reports the equipment in time so as to arrange workers to go to the site for processing or overhauling in time;
and S8, the system periodically counts the working conditions in a certain time period, including the material loading amount, the loading efficiency, the fault condition, the frequency and the material quality condition, forms a corresponding report and stores the report in the system for looking up or backtracking.
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