CN112394661A - Low-delay intelligent controller for pipe network system - Google Patents
Low-delay intelligent controller for pipe network system Download PDFInfo
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- CN112394661A CN112394661A CN202011218904.3A CN202011218904A CN112394661A CN 112394661 A CN112394661 A CN 112394661A CN 202011218904 A CN202011218904 A CN 202011218904A CN 112394661 A CN112394661 A CN 112394661A
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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
- 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
- G05B19/0428—Safety, monitoring
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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
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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Abstract
The utility model provides a low time delay intelligent control ware for pipe network system, includes casing and the signal conditioning circuit, main control chip and the 5G communication module that connect gradually, the casing is the cuboid, and the casing top is provided with the button, and the button next door sets up two ports of wireless access and wireless output, and a casing side is provided with output interface, and another side is provided with input interface, and the casing bottom is the integrated circuit board who is used for placing signal conditioning circuit, main control chip and 5G communication module, main control chip is the embedded edge processing chip of reinforcing ARM. According to the invention, the 5G communication module is configured for the intelligent controller, when the local control parameters of the running equipment change, the time delay of a series of actions from sensing detection, data transmission to control feedback and the like reaches 1ms, the high-risk local system can be isolated and maintained in real time, risks are eliminated, the safety coefficient is greatly improved, and the risk cost is reduced.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to a low-delay intelligent controller for a pipe network system and a control method.
Background
With the continuous development of intellectualization and internet of things technology, intelligent controllers are widely used for automatic control of various devices. The intelligent controller mainly focuses on intelligent control aiming at control functions and control operability, and has great defects in the aspects of control efficiency and control safety. Once a local leakage or other safety risks occur, the response speed of the system is slow, real-time control cannot be realized, and loss can be controlled to be minimum in time.
With the advance of the 5G technology, the problems of time delay and bandwidth of data communication are solved. This patent has low time delay intelligent control ware of marginal computing power based on 5G communication technology, reduces the response time of system to 1ms, realizes the real-time control of system, avoids breaking down or even incident.
Disclosure of Invention
The invention provides a low-delay intelligent controller for a pipe network system, aiming at overcoming the problems that the control system in the prior art is slow in response and cannot realize real-time control, and the response time of the system is greatly shortened.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides a low time delay intelligent control ware for pipe network system, includes casing and the signal conditioning circuit, main control chip and the 5G communication module that connect gradually, the casing is the cuboid, and the casing top is provided with the button, and the button next door sets up two ports of wireless access and wireless output, and a casing side is provided with output interface, and another side is provided with input interface, and the casing bottom is the integrated circuit board who is used for placing signal conditioning circuit, main control chip and 5G communication module, main control chip is the embedded edge processing chip of reinforcing ARM.
Preferably, the signal conditioning circuit is further connected with a sensor module.
Preferably, the 5G communication module is one of a SIM 82005G module, a SIM 83005G module and an FM150-NA5G module.
Preferably, the sensor module includes one or more of a flow sensor, a pressure sensor, a hall switch sensor, a current-voltage sensor, a PT100 temperature sensor, and a DS18B20 temperature sensor in combination.
Preferably, the main control chip is connected with the 5G communication module through a UART serial port, and communication is carried out by adopting a baud rate of 9600 bps.
Preferably, the 5G communication module is further connected with a control center.
A low-delay intelligent control method for a pipe network system adopts the low-delay intelligent controller and comprises the following steps:
s1: the signal conditioning circuit converts the signals acquired by the sensor into standard signal data and then sends the standard signal data to the main control chip;
s2: the main control chip utilizes the edge computing capability to preprocess the data sent by the S1, analyzes the data, continues monitoring if the data is normal, and performs the next step if the data is abnormal;
s3: the main control chip controls the 5G communication module to send the abnormal data and the control signal to the control center through the AT command;
s4: the control center uploads the abnormal data and the control signal to an IoT system in real time and sends out a control instruction;
s5: the running equipment receives the control instruction and stops instantly, and informs maintenance personnel to eliminate risks through the control center;
preferably, the data preprocessing method in S2 includes data filtering, cleaning, aggregating, and semantic parsing.
Preferably, the specific method for analyzing the data in S2 is as follows:
s21: taking a calculation formula obtained by carrying out statistics and regression on a large amount of data as a statistical model;
s22: and calculating the data obtained by real-time monitoring through a calculation formula, comparing the data with a set standard control curve, and displaying the data through a chart.
Therefore, the invention has the following beneficial effects: according to the invention, the 5G communication module is configured for the intelligent controller, when the local control parameters of the running equipment change, the time delay of a series of actions from sensing detection, data transmission to control feedback and the like reaches 1ms, so that the high-risk local system can be isolated and maintained in real time and risks can be eliminated, the safety coefficient is greatly improved, and the risk cost is reduced; the invention adopts the low-delay intelligent control technology based on a pipe network system, and is particularly suitable for the fields of intelligent buildings and control, energy management and control and optimization, intelligent control of positive energy rooms and the like.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a schematic block diagram of the present invention.
Detailed Description
The invention is further described with reference to the following detailed description and accompanying drawings.
In the embodiment shown in fig. 1 and 2, a low-latency intelligent controller for a pipe network system includes a housing 10, and a signal conditioning circuit 101, a main control chip 102, and a5G communication module 103, which are connected in sequence, where the 5G communication module 103 may be one of a SIM 82005G module, a SIM 83005G module, and an FM150-NA5G module. Casing 10 is the cuboid, casing 10 top is provided with button 11, button 11 next door sets up two ports of wireless access 12 and wireless output 13, a casing 10 side is provided with output interface 14 and can passes through the current router of wired connection, another side is provided with input interface 15 of being connected with signal conditioning circuit 101, input interface 15 still is connected with external sensor module, flow sensor is selected for use according to pipe network system's actual conditions to the sensor module, pressure sensor, hall switch sensor, current voltage sensor, PT100 temperature sensor and DS18B20 temperature sensor are used for gathering the flow of pump respectively, exit pressure, the rotational speed, the electric current and the voltage of motor, the temperature parameter of bearing box and control panel.
The bottom of the shell 10 is an integrated circuit board for placing a signal conditioning circuit 101, a main control chip 102 and a5G communication module 103, wherein the main control chip 102 is an enhanced ARM embedded edge processing chip, the main control chip 102 and the 5G communication module 103 are connected through a UART serial port and communicate by adopting a baud rate of 9600bps, the 5G communication module 103 is further connected with a control center, the control center is a User client of an IoT system, and under the support of a cloud-based open Internet of things operating system, processing data and control signals of the low-delay intelligent controller can be uploaded to the IoT system in real time and send control instructions.
A low-delay intelligent control method for a pipe network system is characterized in that the use right is the low-delay intelligent controller, and the control method comprises the following steps:
s1: the signal conditioning circuit 101 converts the signals collected by the sensor into standard signal data and sends the standard signal data to the main control chip 102; in this embodiment, the signal conditioning circuit 101 amplifies, filters, linearizes analog signals of flow, pressure, temperature, and the like acquired by the sensor, converts the analog signals into standard digital signals through the a/D converter, and sends the standard digital signals to the main control chip 102.
S2: the main control chip 102 preprocesses the data sent by the S1 by using the edge computing capability, and performs data analysis; in this embodiment, the data sent by S1 is preprocessed by filtering, cleaning, aggregating, and semantically analyzing, and then data analysis is performed according to the following steps:
s21: taking a calculation formula obtained by carrying out statistics and regression on a large amount of data as a statistical model, and inputting a specified amount of data next time to obtain a calculation result of the statistical model;
taking the parallel pump group controller as an example, at different rotating speeds, the head H and the shaft power P can be expressed by the following formulas:
H＝a0S2+a1QS+a2Q2
P＝b0S3+b1QS2+b2Q2S+b3Q3
wherein a is0、a1、a2、b0、b1、b2、b3Representing the fitting coefficient;
s represents a speed regulation ratio;
q is expressed as flow;
the performance characteristic curve expression of the pump set Etanorm32-160 type speed regulating pump of the same type as the parallel pump set controller is as follows:
H＝40.4421S2+0.07864QS-0.01712Q2
P＝1.67323S3+0.02783QS2+0.00391Q2S-9.03049×10-5Q3
wherein S represents a speed ratio;
q is expressed as flow;
the characteristic curve expressions of three centrifugal pumps of M69-25 model and three centrifugal pumps of M91-50 model of pump sets different from the parallel pump set controller are respectively as follows:
the characteristic curve of M69-25 is:
H＝33.94622S2+0.06087QS-0.00868Q2
P＝1.03964S3+0.06475QS2+6.10798×10-4Q2S-1.314×10-5Q3
wherein S represents a speed ratio;
q is expressed as flow;
the characteristic curves of M91-50 are:
H＝40.55249S2+0.11185QS-0.00445Q2
P＝2.61258S3+0.04422QS2+8.77296×10-4Q2S-8.89935×10-6Q3
wherein S represents a speed ratio;
q is expressed as flow.
S22: calculating the data obtained by real-time monitoring through a calculation formula in S21, comparing the data with a set standard control curve, displaying the data through a graph, continuing monitoring if the data is normal, and performing the next step if the data is abnormal;
s3: the main control chip 102 controls the 5G communication module 103 to send the abnormal data and the control signal to the control center through the AT command;
s4: the control center uploads the abnormal data and the control signal to an IoT system in real time and sends a control instruction, wherein the control instruction is a control signal for opening or closing a valve or a pump according to the abnormal data condition;
s5: and the running equipment receives the control instruction and stops instantly, and informs maintenance personnel to eliminate risks through the control center.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The utility model provides a low time delay intelligent control ware for pipe network system, includes casing and the signal conditioning circuit, main control chip and the 5G communication module that connect gradually, characterized by, the casing is the cuboid, and the casing top is provided with the button, and the button next door sets up two ports of wireless access and wireless output, and a casing side is provided with output interface, and another side is provided with input interface, and the casing bottom is for being used for placing signal conditioning circuit, main control chip and 5G communication module's integrated circuit board, main control chip is the embedded edge processing chip of reinforcing ARM.
2. The intelligent controller with low time delay for pipe network system as claimed in claim 1, wherein said signal conditioning circuit is connected with input interface, and the input interface is further connected with sensor module.
3. The intelligent controller of claim 1, wherein the 5G communication module is one of a SIM 82005G module, a SIM 83005G module, and an FM150-NA5G module.
4. The intelligent controller with low time delay for pipe network system of claim 2, wherein the sensor module comprises one or more combination of flow sensor, pressure sensor, hall switch sensor, current and voltage sensor, PT100 temperature sensor and DS18B20 temperature sensor.
5. The intelligent controller with low time delay for a pipe network system as claimed in claim 1, wherein the main control chip is connected with the 5G communication module through a UART serial port, and communicates with the 5G communication module at a baud rate of 9600 bps.
6. The intelligent controller for pipe network system according to claim 1, wherein the 5G communication module is further connected to a control center.
7. A low-delay intelligent control method for a pipe network system, wherein the control method adopts the low-delay intelligent controller of any one of claims 1 to 6, and the control method further comprises the following steps:
s1: the signal conditioning circuit converts the signals acquired by the sensor into standard signal data and then sends the standard signal data to the main control chip;
s2: the main control chip utilizes the edge computing capability to preprocess the data sent by the S1, analyzes the data, continues monitoring if the data is normal, and performs the next step if the data is abnormal;
s3: the main control chip controls the 5G communication module to send the abnormal data and the control signal to the control center through the AT command;
s4: the control center uploads the abnormal data and the control signal to an IoT system in real time and sends out a control instruction;
s5: and the running equipment receives the control instruction and stops instantly, and informs maintenance personnel to eliminate risks through the control center.
8. The method according to claim 7, wherein the preprocessing of the data in S2 includes data filtering, washing, aggregation, and semantic parsing.
9. The intelligent control method for the pipe network system according to claim 7, wherein the specific method for analyzing the data in S2 is as follows:
s21: taking a calculation formula obtained by carrying out statistics and regression on a large amount of data as a statistical model;
s22: and calculating the data obtained by real-time monitoring through a calculation formula, comparing the data with a set standard control curve, and displaying the data through a chart.
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| CN2019110662190 | 2019-11-04 | ||
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| CN107450401A (en) * | 2017-08-25 | 2017-12-08 | 成都亿睿科技有限公司 | A kind of robot system for monitoring and alarming for platform data |
| CN108171259A (en) * | 2017-12-13 | 2018-06-15 | 南京理工大学 | A kind of wisdom tip water quality monitoring system and method based on NB-IoT |
| CN109274775A (en) * | 2018-11-16 | 2019-01-25 | 华东理工大学 | A kind of modular status intelligence sensing terminal with internet of things functional |
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Patent Citations (8)
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| CN201955882U (en) * | 2011-03-18 | 2011-08-31 | 西北工业技术研究院 | Forest fire danger testing and warning device |
| CN104659760A (en) * | 2014-06-19 | 2015-05-27 | 吴春刚 | Method for realizing automatic comprehensive protection of transformer substation |
| CN104791902A (en) * | 2015-04-23 | 2015-07-22 | 陕西海点智能科技有限公司 | Intelligent control system for EMC pipe network |
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