CN112734251A - Visual neural network monitoring system for intelligent water management platform - Google Patents
Visual neural network monitoring system for intelligent water management platform Download PDFInfo
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Abstract
The invention discloses a visual neural network monitoring system for an intelligent water service management platform, which comprises a data acquisition system (100) for acquiring water use information in an intelligent water service system, a data processing system (200) for classifying, analyzing and processing the water use information, an operation monitoring system (300) for judging the operation state of the intelligent water service system according to the water use information, a pre-alarm system (400) for generating an early-alarm instruction or an alarm instruction according to the early-alarm information or the alarm information, a data storage system (500) for storing the water use information, the operation state information, the early-alarm instruction, the early-alarm threshold value and the alarm threshold value, a self-learning system (600) for updating the alarm threshold value and a display system (700) for feeding data back to a user in real time. The visual neural network monitoring system for the intelligent water affair management platform can monitor the water use condition of the water affair system in real time.
Description
Technical Field
The invention relates to the technical field of intelligent water affairs, in particular to a visual neural network monitoring system for an intelligent water affair management platform.
Background
The intelligent water affair is the intelligent water affair, which senses the running state of the urban water supply and drainage system in real time through online monitoring equipment such as a data acquisition instrument, a wireless network, a water quality and water pressure meter and the like, organically integrates a water affair management department and water supply and drainage facilities in a visual mode to form an urban water affair Internet of things, can analyze and process massive water affair information in time, makes a corresponding processing result auxiliary decision suggestion, and manages the whole production, management and service process of the water affair system in a more detailed and dynamic mode, thereby achieving the intelligent state.
The thermal power of China accounts for about 80% of available power, 90% of the total water consumption (more than 100 hundred million tons) of the thermal power plant is used for a circulating water system, and the sewage discharge amount accounts for more than 70%. At present, the water service management of the thermal power plant has many problems, such as: the water metering facility is imperfect, the water balance test is not carried out regularly, and the leakage is serious; a large amount of water resources of the thermal power plant are unreasonably distributed, and the waste water resources are not reasonably utilized; although industrial wastewater and domestic wastewater standards are set in many thermal power plants, many thermal power plants are discharged without being treated, which causes waste. A large number of thermal power plants do not pay attention to the management of water consumption and drainage, so that the water balance management of the thermal power plants is extensive, and a water quantity monitoring network is immature. Even the developed water-saving model of the thermal power plant adopts semi-artificial semi-intelligence, and the application of automatic detection and automatic control technology is less.
Application number 201811287763.3 discloses an intelligent water affair management system based on the internet, which comprises an outdoor water pipeline monitoring and early warning system, a terminal user metering and data uploading system, a monitoring station and a central server system; the intelligent water affair system can automatically calculate the position of a leakage point, the leakage amount, a leakage event and the like according to the flow and pressure difference between nodes, provide valuable reference information for ground excavation, and save a large amount of manpower, material resources and financial resources; water resources are effectively saved; the system can automatically adjust and distribute water pressure and flow supply among all the areas at different time intervals of water use so as to achieve supply balance of all the areas; a large amount of water affair human resources are saved, so that a large amount of cost is saved; the time consumption of the water service personnel on site can be avoided or reduced, and the human resources are effectively saved.
Disclosure of Invention
The invention aims to solve the technical problems that a water management system in the prior art has imperfect water metering facilities, unreasonable water resource distribution, incapability of finding abnormal water operation in time and the like, and provides a visual neural network monitoring system for an intelligent water management platform, which can monitor the water consumption condition in the water management system in real time, adjust water balance in time and realize intellectualization of water consumption management.
The invention provides a visual neural network monitoring system for an intelligent water management platform, which comprises:
a data acquisition system: the intelligent water service system is used for acquiring water use information in the intelligent water service system and transmitting the water use information to the data processing system;
a data processing system: the system comprises a data acquisition system, an operation monitoring system, a pre-alarm system and a data storage system, wherein the data acquisition system is used for acquiring water consumption information transmitted by the data acquisition system;
the operation monitoring system comprises: the intelligent water service system is used for receiving water use information transmitted by the data processing system, judging the running state of the intelligent water service system according to the water use information, transmitting the running state information to the data storage system, generating early warning information and transmitting the early warning information to the pre-warning system when the running state exceeds an early warning threshold, generating warning information and transmitting the warning information to the pre-warning system when the running state exceeds the warning threshold, and receiving the early warning threshold and the warning threshold transmitted by the data storage system;
the pre-alarm system comprises: the monitoring system is used for receiving the early warning information and the warning information transmitted by the operation monitoring system, generating an early warning instruction according to the early warning information, transmitting the early warning instruction to the data storage system and the display system, and generating an alarm instruction according to the warning information and transmitting the alarm instruction to the data storage system and the display system;
a data storage system: the system comprises a data processing system, a self-learning system, a data processing system, an operation monitoring system, an early warning system, a pre-learning system, an updating system, a pre-warning threshold and an alarming threshold, wherein the data processing system is used for storing water information, operation state information, an early warning instruction, an alarming instruction, the early warning threshold and the alarming threshold, the water information is transmitted by the data processing system, the operation state information is transmitted by the operation monitoring system, the early warning instruction and the alarming instruction are transmitted by the pre-alarming system, the water information, the operation state information, the early warning instruction and the alarming instruction are transmitted to the display system in real time, the water information, the operation state information, the early warning instruction and the;
the self-learning system comprises: the system comprises a data storage system, a data processing system and a data processing system, wherein the data processing system is used for receiving water consumption information, running state information, an early warning instruction and an alarm instruction transmitted by the data storage system, receiving update information input by a user, comparing the water consumption information, the running state information, the early warning instruction, the alarm instruction and the update information received each time with the water consumption information, the running state information, the early warning instruction and the alarm instruction received before, generating an updated early warning threshold value and an updated alarm threshold value, and transmitting the updated early warning threshold value and the updated alarm threshold value to the data storage system; the specific method for updating the early warning threshold or the alarm threshold is as follows:
marking the detection value of each detection point as A (i, j), wherein i is more than 0 and less than or equal to n, j is more than 0 and less than or equal to m, n is the number of the detection points, and m is the number of the detection values; the early warning threshold value of A (i, j) is P, and the alarm threshold value is Q;
if A (i, j) < P in the time interval N, adjusting the early warning threshold value and the alarm threshold value to be P + f and Q + f at the N +1 th moment, wherein f is greater than 0;
if A (i, j) > P at the time M, adjusting the early warning threshold value and the warning threshold value to be P + f and Q + f after the fault is eliminated, wherein f is greater than 0;
if A (i, j) > Q at the time M, adjusting the early warning threshold value and the alarm threshold value to be P +2f and Q +2f after the fault is eliminated, wherein f is greater than 0;
a display system: the water consumption monitoring system is used for receiving and displaying water consumption information, running state information, early warning instructions and alarming instructions transmitted by the data storage system in real time.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, and as an optimal mode, a data acquisition system comprises:
raw water data acquisition device: the system comprises a water source acquisition system, a data processing system and a data processing system, wherein the water source acquisition system is used for acquiring raw water information, and the raw water information comprises water quality of a water taking water source, raw water taking flow and water taking pool water quantity and is used for transmitting the raw water information to the data processing system;
water cycle data acquisition device: the system comprises a water circulation system, an industrial water system, a data processing system and a data processing system, wherein the water circulation system and the industrial water system are arranged on the water circulation system and the industrial water system, and are used for acquiring circulating water information, and the circulating water information comprises circulating water quality, circulating water flow and circulating water amount and is used for transmitting the circulating water information to the data processing system;
the processing water data acquisition device: the sewage treatment system is arranged on the sewage collecting system and the water treatment system and used for collecting sewage treatment information, wherein the sewage treatment information comprises sewage category, sewage quality, sewage flow and sewage amount and is used for transmitting the sewage treatment information to the data treatment system.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, and as an optimal mode, a data processing system comprises:
a data classification system: the system comprises a data acquisition system, a data verification system, a classification mark generation system and a data processing system, wherein the data acquisition system is used for acquiring water consumption information;
the data verification system comprises: the system is used for receiving the water use information with the classification marks transmitted by the data classification system, verifying the water use information, generating early warning information or warning information when the verification is abnormal, transmitting the verified water use information to the operation monitoring system and the data storage system, and transmitting the early warning information and the warning information to the early warning system.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, which is an optimal mode, and comprises the following operation monitoring systems:
a state detection system: the intelligent water service system is used for receiving the water consumption information transmitted by the data processing system, detecting the water running state of the intelligent water service system according to the water consumption information and transmitting the running state information to the data storage system;
an exception handling system: the intelligent water service system is used for generating an abnormal signal when the water running state of the intelligent water service system is abnormal, generating early warning information or warning information according to the abnormal signal, and transmitting the early warning information or the warning information to the early warning system.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, which is used as a preferred mode, and the pre-alarm system comprises:
the early warning judgment system comprises: the early warning system is used for receiving the early warning information transmitted by the operation monitoring system and judging whether the early warning information is accurate or not, if so, generating an early warning signal and transmitting the early warning signal to the display system, and if not, generating a feedback signal and transmitting the feedback signal to the operation monitoring system;
an alarm judgment system: the alarm system is used for receiving the alarm information transmitted by the operation monitoring system, judging whether the alarm information is accurate or not, generating an alarm signal and transmitting the alarm signal to the display system if the alarm information is judged to be accurate, and generating a feedback signal and transmitting the feedback signal to the operation monitoring system if the alarm information is judged to be not accurate.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, which is used as a preferred mode, and a self-learning system comprises:
a knowledge base module: the water consumption information, the running state information, the early warning instruction and the alarming instruction are stored;
an instruction module: the system comprises a reasoner module, a storage module and a display module, wherein the reasoner module is used for receiving update information input by a user and transmitting the update information to the reasoner module;
an inference engine module: the system is used for iterating the water consumption information, the running state information, the early warning instruction and the warning instruction in the knowledge base module according to the time effect to generate an updated early warning threshold value and an updated warning threshold value, and is used for receiving the updated information transmitted by the instruction module and generating the updated early warning threshold value and the updated warning threshold value according to the updated information.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, which is characterized in that as a preferred mode, a display system comprises one or a combination of the following devices: display, speaker, signal lamp.
The invention relates to a visual neural network monitoring system for an intelligent water affair management platform, which is an optimal mode, and comprises:
water source collection system: for collecting water at a water source for delivery to a water treatment system;
a water treatment system: the system comprises a water source acquisition system, a water circulating system, a sewage collecting system and a water circulating system, wherein the water source acquisition system is used for receiving water transmitted by the water source acquisition system, processing the water and generating industrial water, transmitting the industrial water to the water circulating system, receiving industrial wastewater transmitted by the industrial water system, receiving sewage transmitted by the sewage collecting system, processing the industrial wastewater and the sewage and generating recovered water, and transmitting the recovered water to the water circulating system;
a water circulation system: the industrial water and the recovered water are used for receiving the industrial water and the recovered water transmitted by the water treatment system and transmitting the industrial water and the recovered water to the industrial water system;
industrial water system: the industrial water and the reclaimed water are used for receiving the industrial water and the reclaimed water transmitted by the water circulating system and transmitting the industrial wastewater generated by production to the water treatment system;
a sewage collection system: the device is used for recovering domestic water and fire-fighting water, and mixing the domestic water and the fire-fighting water into sewage to be conveyed to a water treatment system.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, which is characterized in that as an optimal mode, a water treatment system comprises:
a raw water treatment system: the water source collecting system is used for collecting water used by the industrial water system, and collecting water used by the industrial water system;
industrial wastewater treatment system: the industrial waste water collecting system is used for receiving the industrial waste water transmitted by the industrial water system, receiving the sewage transmitted by the sewage collecting system, treating the industrial waste water and the sewage and generating recovered water, and transmitting the recovered water to the water circulating system.
The invention relates to a visual neural network monitoring system for an intelligent water management platform, and as a preferred mode, an industrial wastewater treatment system comprises:
industrial wastewater classification system: the system is used for receiving industrial wastewater transmitted by an industrial water system, classifying the industrial wastewater, wherein the classification result comprises oil-containing wastewater, coal-containing wastewater, desulfurization wastewater and ammonia-containing wastewater, transmitting the oil-containing wastewater to an oil-containing wastewater treatment system, transmitting the coal-containing wastewater to a coal-containing wastewater treatment system, transmitting the desulfurization wastewater to a desulfurization wastewater treatment system and transmitting the ammonia-containing wastewater to an ammonia-containing wastewater treatment system;
oily wastewater treatment system: the system is used for receiving the oily wastewater transmitted by the industrial wastewater classification system, treating the oily wastewater, extracting recovered water after oil is discharged, and transmitting the recovered water to a water circulation system; the oil can be discharged to a coal yard for spraying;
coal-containing wastewater treatment system: the system is used for receiving the coal-containing wastewater transmitted by the industrial wastewater classification system, treating the coal-containing wastewater, extracting recovered water after removing wastes, and transmitting the recovered water to a water circulation system; wherein the waste comprises coal conveying belt flushing, coal yard drainage and the like, the waste is recycled after coagulating sedimentation or filtration, and the generated impurities can be co-burnt with coal;
desulfurization wastewater treatment system: the system is used for receiving the desulfurization wastewater transmitted by the industrial wastewater classification system, treating the desulfurization wastewater, extracting recovered water after removing waste, and transmitting the recovered water to a water circulation system;
an ammonia-containing wastewater treatment system: the system is used for receiving the ammonia-containing wastewater transmitted by the industrial wastewater classification system, treating the ammonia-containing wastewater, extracting the recovered water after discharging the waste and transmitting the recovered water to the water circulation system.
The invention comprises the following steps in the using process:
s1, the data acquisition system measures the water consumption information of each detection point in real time through a sensor arranged in the intelligent water service system;
s2, the data processing system classifies, analyzes and processes the water consumption information measured at different detection points, and judges whether the water consumption information is normal, if so, the step S9 is carried out, and if not, the step S3 is carried out;
s3, the operation monitoring system judges whether the operation of the intelligent water service system is normal according to the water use information, if so, the step S10 is carried out, and if not, the step S4 is carried out;
s4, the pre-alarm system outputs an abnormal position point through the display system, and judges whether the abnormality exceeds an early-warning threshold value, if so, the step S5 is carried out, and if not, the step S9 is carried out;
s5, the pre-alarm system judges whether the abnormity exceeds the alarm threshold value, if so, the step S6 is carried out, and if not, the step S7 is carried out;
s6, the operation monitoring system generates an alarm signal and feeds the alarm signal back to a user through the display system 700, and the step S8 is started;
s7, the operation monitoring system generates an early warning signal and feeds the early warning signal back to a user through the display system 700, and the step S8 is started;
s8, the operation monitoring system sends a repair instruction to the intelligent water service system, and the intelligent water service system returns to the step S1 after adjusting the operation state to be normal according to the repair instruction;
s9, the self-learning module updates the early warning threshold value or the alarm threshold value of the corresponding position according to the early warning signal or the alarm signal, and returns to the step S1;
the specific method for updating the early warning threshold or the alarm threshold is as follows:
marking the detection value of each detection point as A (i, j), wherein i is more than 0 and less than or equal to n, j is more than 0 and less than or equal to m, n is the number of the detection points, and m is the number of the detection values; the early warning threshold value of A (i, j) is P, and the alarm threshold value is Q;
if A (i, j) < P in the time interval N, adjusting the early warning threshold value and the alarm threshold value to be P + f and Q + f at the N +1 th moment, wherein f is greater than 0;
if A (i, j) > P at the time M, adjusting the early warning threshold value and the warning threshold value to be P + f and Q + f after the fault is eliminated, wherein f is greater than 0;
if A (i, j) > Q at the time M, adjusting the early warning threshold value and the alarm threshold value to be P +2f and Q +2f after the fault is eliminated, wherein f is greater than 0;
and S10, normally operating the intelligent water service system.
The invention has the following advantages:
(1) the water consumption information of the intelligent water affair system is monitored in real time through the data acquisition system, so that the water consumption condition of the intelligent water affair system can be reflected in time;
(2) the operation monitoring system can find abnormal information of the intelligent water service system in time and generate corresponding early warning signals and alarm signals to be fed back to a user;
(3) the operation monitoring system can timely process the abnormity generated by the intelligent water affair system according to the processing mode stored by the data storage system, and timely feed back the abnormity which can not be processed to a user for manual processing when the abnormity which can not be processed is generated;
(4) the self-learning system can update the content stored in the data storage system through the normal running data and the exception handling process of the intelligent water affair system, and intelligent growth is achieved.
Drawings
FIG. 1 is a diagram of a visualized neural network monitoring system for an intelligent water management platform;
FIG. 2 is a block diagram of a data acquisition system;
FIG. 3 is a diagram of a data processing system;
FIG. 4 is a diagram of the components of the operation monitoring system;
FIG. 5 is a diagram of a pre-warning system;
FIG. 6 is a diagram of a self-learning system composition;
FIG. 7 is a diagram of the intelligent water system;
FIG. 8 is a schematic diagram of a water treatment system;
FIG. 9 is a schematic diagram of an industrial wastewater treatment system.
Reference numerals:
100. a data acquisition system; 110. a raw water data acquisition device; 120. a water cycle data acquisition device; 130. a processed water data acquisition device; 200. a data processing system; 210. a data classification system; 220. a data verification system; 300. operating a monitoring system; 310. a state detection system; 320. an exception handling system; 400. a pre-warning system; 410. an early warning judgment system; 420. an alarm judgment system; 500. a data storage system; 600. a self-learning system; 610. a knowledge base module; 620. an instruction module; 630. a reasoner module; 700. a display system; 1. a water source collection system; 2. a water treatment system; 21. a raw water treatment system; 22. an industrial wastewater treatment system; 221. an industrial wastewater classification system; 222. an oily wastewater treatment system; 223. a coal-containing wastewater treatment system; 224. a desulfurization wastewater treatment system; 225. an ammonia-containing wastewater treatment system; 3. a water circulation system; 4. an industrial water system; 5. a sewage treatment system.
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.
Example 1
As shown in fig. 1, a visualized neural network monitoring system for an intelligent water management platform includes:
the data acquisition system 100: the system is used for collecting water consumption information in the intelligent water service system and transmitting the water consumption information to the data processing system 200; as shown in fig. 2, the data acquisition system 100 includes:
raw water data acquisition device 110: the system is arranged on the water source acquisition system 1 and used for acquiring raw water information, wherein the raw water information comprises water quality of a water taking water source, raw water taking flow and water taking pool water quantity and is used for transmitting the raw water information to the data processing system 200;
water cycle data acquisition device 120: the system is arranged on the water circulation system 3 and the industrial water system 4, is used for collecting circulating water information, comprises circulating water quality, circulating water flow and circulating water amount, and is used for transmitting the circulating water information to the data processing system 200;
the treated water data acquisition device 130: the sewage treatment system is arranged on the sewage collecting system 5 and the water treatment system 2, is used for collecting sewage treatment information, comprises sewage category, sewage quality, sewage flow and sewage amount, and is used for transmitting the sewage treatment information to the data processing system 200;
data processing system 200: the system is used for receiving the water use information transmitted by the data acquisition system 100, classifying, analyzing and processing the water use information, and transmitting the processed water use information to the operation monitoring system 300, the pre-alarm system 400 and the data storage system 500; as shown in FIG. 3, data processing system 200 includes:
data classification system 210: the system is used for receiving the water consumption information transmitted by the data acquisition system 100, classifying the water consumption information to generate classification marks, and transmitting the water consumption information with the classification marks to the data verification system 220;
data verification system 220: the system is used for receiving the water use information with the classification marks transmitted by the data classification system 210, verifying the water use information, generating early warning information or alarm information when the verification is abnormal, transmitting the verified water use information to the operation monitoring system 300 and the data storage system 500, and transmitting the early warning information and the alarm information to the pre-alarm system 400;
the operation monitoring system 300: the system is used for receiving the water consumption information transmitted by the data processing system 200, judging the running state of the intelligent water service system according to the water consumption information, transmitting the running state information to the data storage system 500, generating early warning information and transmitting the early warning information to the pre-warning system 400 when the running state exceeds an early warning threshold, generating warning information and transmitting the warning information to the pre-warning system 400 when the running state exceeds the warning threshold, and receiving the early warning threshold and the warning threshold transmitted by the data storage system 500; as shown in fig. 4, the operation monitoring system 300 includes:
the state detection system 310: the intelligent water service system is used for receiving the water consumption information transmitted by the data processing system 200, detecting the water operation state of the intelligent water service system according to the water consumption information, and transmitting the operation state information to the data storage system 500;
exception handling system 320: the intelligent water service system is used for generating an abnormal signal when the water running state of the intelligent water service system is abnormal, generating early warning information or warning information according to the abnormal signal, and transmitting the early warning information or the warning information to the early warning system 400;
pre-warning system 400: the system comprises a data storage system 500 and a display system 700, and is used for receiving early warning information and alarm information transmitted by an operation monitoring system, generating an early warning instruction according to the early warning information, transmitting the early warning instruction to the data storage system 500 and the display system 700, and generating an alarm instruction according to the alarm information, and transmitting the alarm instruction to the data storage system 500 and the display system 700; as shown in fig. 5, the pre-warning system 400 includes:
the early warning judgment system 410: the early warning system is used for receiving the early warning information transmitted by the operation monitoring system 300 and judging whether the early warning information is accurate or not, if so, an early warning signal is generated and transmitted to the display system 700, and if not, a feedback signal is generated and transmitted to the operation monitoring system 300;
alarm determination system 420: the alarm system is used for receiving alarm information transmitted by the operation monitoring system 300, judging whether the alarm information is accurate or not, generating an alarm signal and transmitting the alarm signal to the display system 700 if the alarm information is judged to be accurate, and generating a feedback signal and transmitting the feedback signal to the operation monitoring system 300 if the alarm information is judged to be not accurate;
data storage system 500: the system is used for storing water use information, running state information, early warning instructions, early warning thresholds and warning thresholds, receiving the water use information transmitted by the data processing system 200, receiving the running state information transmitted by the running monitoring system 300, receiving the early warning instructions and warning instructions transmitted by the pre-warning system 400, transmitting the water use information, the running state information, the early warning instructions and the warning instructions to the display system 700 in real time, transmitting the water use information, the running state information, the early warning instructions and the warning instructions to the self-learning system 600 at regular time, receiving the updating instructions transmitted by the self-learning system 600, updating the early warning thresholds and the warning thresholds according to the updating instructions, and transmitting the updated early warning thresholds and the updated warning thresholds to the pre-warning system 400;
the self-learning system 600: the system comprises a data storage system 500, a data processing system and a data processing system, wherein the data processing system is used for receiving water consumption information, running state information, early warning instructions and alarm instructions transmitted by the data storage system 500, receiving updated information input by a user, comparing the water consumption information, the running state information, the early warning instructions, the alarm instructions and the updated information received each time with the previously received water consumption information, running state information, the early warning instructions and the alarm instructions, generating updated early warning threshold values and alarm threshold values, and transmitting the updated early warning threshold values and alarm threshold values to the data storage system 500; the specific method for updating the early warning threshold or the alarm threshold is as follows:
marking the detection value of each detection point as A (i, j), wherein i is more than 0 and less than or equal to n, j is more than 0 and less than or equal to m, n is the number of the detection points, and m is the number of the detection values; the early warning threshold value of A (i, j) is P, and the alarm threshold value is Q;
if A (i, j) < P in the time interval N, adjusting the early warning threshold value and the alarm threshold value to be P + f and Q + f at the N +1 th moment, wherein f is greater than 0;
if A (i, j) > P at the time M, adjusting the early warning threshold value and the warning threshold value to be P + f and Q + f after the fault is eliminated, wherein f is greater than 0;
if A (i, j) > Q at the time M, adjusting the early warning threshold value and the alarm threshold value to be P +2f and Q +2f after the fault is eliminated, wherein f is greater than 0;
as shown in fig. 6, the self-learning system 600 includes:
knowledge base module 610: the water consumption information, the running state information, the early warning instruction and the alarming instruction are stored;
the instruction module 620: for receiving user-entered update information, for communicating the update information to the reasoner module 630;
the reasoner module 630: the system comprises a knowledge base module, a command module and a command module, wherein the knowledge base module is used for receiving water consumption information, running state information, early warning commands and warning commands in the knowledge base module according to time effect, generating updated early warning threshold values and warning threshold values, receiving updated information transmitted by the command module and generating updated early warning threshold values and warning threshold values according to the updated information;
the display system 700: the system is used for receiving and displaying water consumption information, running state information, early warning instructions and alarm instructions transmitted by the data storage system 500 in real time; the display system 700 includes one or a combination of the following devices: display, speaker, signal lamp.
Wherein, as shown in fig. 7, the intelligent water service system includes:
water source collection system 1: for collecting water at a water source for delivery to the water treatment system 2;
water treatment system 2: the system is used for receiving the water transmitted by the water source acquisition system 1, processing the water and generating industrial water, transmitting the industrial water to the water circulation system 3, receiving the industrial wastewater transmitted by the industrial water system 4, receiving the sewage transmitted by the sewage collection system 5, processing the industrial wastewater and the sewage and generating recovered water, and transmitting the recovered water to the water circulation system 3; as shown in fig. 8, the water treatment system 2 includes:
raw water treatment system 21: the water source collecting system is used for receiving the water transmitted by the water source collecting system 1, treating the water and generating industrial water, and transmitting the industrial water to the water circulating system 3;
industrial wastewater treatment system 22: the industrial wastewater receiving system is used for receiving the industrial wastewater transmitted by the industrial water system 4, receiving the sewage transmitted by the sewage collecting system 5, processing the industrial wastewater and the sewage and generating recovered water, and transmitting the recovered water to the water circulating system 3; as shown in fig. 9, the industrial wastewater treatment system 22 includes:
industrial wastewater classification system 221: the system is used for receiving the industrial wastewater transmitted by the industrial water system 4, classifying the industrial wastewater, wherein the classification result comprises oily wastewater, coal-containing wastewater, desulfurization wastewater and ammonia-containing wastewater, transmitting the oily wastewater to the oily wastewater treatment system 222, transmitting the coal-containing wastewater to the coal-containing wastewater treatment system 223, transmitting the desulfurization wastewater to the desulfurization wastewater treatment system 224 and transmitting the ammonia-containing wastewater to the ammonia-containing wastewater treatment system 225;
oily wastewater treatment system 222: the system is used for receiving the oily wastewater transmitted by the industrial wastewater classification system 221, treating the oily wastewater, extracting recovered water after oil is discharged, and transmitting the recovered water to the water circulation system 3;
coal-containing wastewater treatment system 223: the system is used for receiving the coal-containing wastewater transmitted by the industrial wastewater classification system 221, treating the coal-containing wastewater, extracting recovered water after removing wastes, and transmitting the recovered water to the water circulation system 3;
desulfurization wastewater treatment system 224: the system is used for receiving the desulfurization wastewater transmitted by the industrial wastewater classification system 221, treating the desulfurization wastewater, extracting recovered water after removing wastes, and transmitting the recovered water to the water circulation system 3;
ammonia-containing wastewater treatment system 225: the system is used for receiving the ammonia-containing wastewater transmitted by the industrial wastewater classification system 221, treating the ammonia-containing wastewater, extracting recycled water after removing wastes, and transmitting the recycled water to the water circulation system 3;
a water circulation system 3: for receiving the industrial water and the reclaimed water transmitted by the water treatment system 2, for transmitting the industrial water and the reclaimed water to the industrial water system 4;
industrial water system 4: the industrial water and the reclaimed water are used for receiving the industrial water and the reclaimed water transmitted by the water circulating system 3 and transmitting the industrial wastewater generated by production to the water treatment system 2;
sewage collection system 5: for recovering domestic and fire-fighting water, for mixing the domestic and fire-fighting water into sewage to be delivered to the water treatment system 2.
In the using process of the embodiment, the method comprises the following steps:
s1, the data acquisition system 100 measures water use information such as water quality information, flow information, water quantity information and the like of each detection point in real time through a sensor arranged in the intelligent water service system;
s2, the data processing system 200 classifies, analyzes and processes the water use information measured at different detection points, judges whether the water use information is normal, if so, the step S9 is carried out, and if not, the step S3 is carried out;
s3, the operation monitoring system 300 judges whether the operation of the intelligent water service system is normal or not according to the water use information, if so, the step S10 is carried out, and if not, the step S4 is carried out;
s4, the pre-warning system 400 outputs an abnormal position point through the display system 700, and judges whether the abnormality exceeds a pre-warning threshold value, if so, the step S5 is carried out, and if not, the step S9 is carried out;
s5, judging whether the abnormality exceeds an alarm threshold value, if so, entering a step S6, and if not, entering a step S7;
s6, the operation monitoring system 300 generates an alarm signal and feeds the alarm signal back to the user through the display system 700, and the step S8 is started;
s7, the operation monitoring system 300 generates an early warning signal and feeds the early warning signal back to a user through the display system 700, and the step S8 is started;
s8, the operation monitoring system 300 sends a repair instruction to the intelligent water service system, and the intelligent water service system returns to the step S1 after adjusting the operation state to normal according to the repair instruction;
s9, the self-learning module 600 updates the early warning threshold value or the alarm threshold value of the corresponding position according to the early warning signal or the alarm signal, and returns to the step S1;
and S10, normally operating the intelligent water service system.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The utility model provides a visual neural network monitored control system for intelligent water affairs management platform which characterized in that: the method comprises the following steps:
data acquisition system (100): the system is used for collecting water use information in an intelligent water service system and transmitting the water use information to the data processing system (200);
data processing system (200): the system is used for receiving the water use information transmitted by the data acquisition system (100), classifying, analyzing and processing the water use information, and transmitting the processed water use information to an operation monitoring system (300), a pre-alarm system (400) and a data storage system (500);
operation monitoring system (300): the system is used for receiving the water consumption information transmitted by the data processing system (200), judging the operating state of the intelligent water service system according to the water consumption information, transmitting the operating state information to the data storage system (500), generating early warning information and transmitting the early warning information to the pre-warning system (400) when the operating state exceeds the early warning threshold, generating alarm information and transmitting the alarm information to the pre-warning system (400) when the operating state exceeds the alarm threshold, and receiving the early warning threshold and the alarm threshold transmitted by the data storage system (500);
pre-warning system (400): the system is used for receiving the early warning information and the warning information transmitted by the operation monitoring system (300), generating an early warning instruction according to the early warning information and transmitting the early warning instruction to the data storage system (500) and the display system (700), and generating an alarm instruction according to the warning information and transmitting the alarm instruction to the data storage system (500) and the display system (700);
data storage system (500): the system is used for storing the water use information, the running state information, the early warning instruction, the early warning threshold value and the warning threshold value, receiving the water use information transmitted by the data processing system (200), receiving the running state information transmitted by the running monitoring system, receiving the early warning instruction and the warning instruction transmitted by the early warning system (400), transmitting the water use information, the running state information, the early warning instruction and the warning instruction to a display system (700) in real time, transmitting the water use information, the running state information, the early warning instruction and the warning instruction to a self-learning system (600) at regular time, receiving an updating instruction transmitted by the self-learning system (600), and updating the early warning threshold value and the warning threshold value according to the updating instruction, for transmitting the updated pre-alarm threshold and the alarm threshold to the pre-alarm system (400);
self-learning system (600): the system comprises a data storage system (500) and a data processing system (500), wherein the data storage system is used for receiving the water consumption information, the running state information, the early warning instruction and the warning instruction which are transmitted by the data storage system (500), receiving updated information input by a user, comparing the water consumption information, the running state information, the early warning instruction, the warning instruction and the updated information which are received each time with the water consumption information, the running state information, the early warning instruction and the warning instruction which are received before, generating an updated early warning threshold value and an updated warning threshold value, and transmitting the updated early warning threshold value and the updated warning threshold value to the data storage system (500); the specific method for updating the early warning threshold or the alarm threshold is as follows:
marking the detection value of each detection point as A (i, j), wherein i is more than 0 and less than or equal to n, j is more than 0 and less than or equal to m, n is the number of the detection points, and m is the number of the detection values; the early warning threshold value of A (i, j) is P, and the alarm threshold value is Q;
if A (i, j) < P in the time interval N, adjusting the early warning threshold value and the alarm threshold value to P + f and Q + f at the N +1 th moment, wherein f is greater than 0;
if A (i, j) > P at the time M, adjusting the early warning threshold value and the alarm threshold value to be P + f and Q + f after the fault is eliminated, wherein f is greater than 0;
if A (i, j) > Q at the time M, adjusting the early warning threshold value and the alarm threshold value to be P +2f and Q +2f after the fault is eliminated, wherein f is greater than 0;
display system (700): the water consumption information, the running state information, the early warning instruction and the alarm instruction which are transmitted by the data storage system (500) are received and displayed in real time.
2. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the data acquisition system (100) comprises:
raw water data acquisition device (110): the system is arranged on the water source acquisition system (1) and used for acquiring raw water information, wherein the raw water information comprises water quality of a water taking water source, raw water taking flow and water taking pool water quantity and is used for transmitting the raw water information to the data processing system (200);
water cycle data acquisition device (120): the system is arranged on a water circulation system (3) and an industrial water system (4) and used for collecting circulating water information, wherein the circulating water information comprises circulating water quality, circulating water flow and circulating water amount and is used for transmitting the circulating water information to the data processing system (200);
process water data acquisition device (130): the sewage treatment system is arranged on the sewage collection system (5) and the water treatment system (2) and used for collecting sewage treatment information, wherein the sewage treatment information comprises sewage type, sewage quality, sewage flow and sewage amount and is used for transmitting the sewage treatment information to the data processing system (200).
3. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the data processing system (200) comprises:
data classification system (210): the water consumption information is transmitted by the data acquisition system (100), is used for classifying the water consumption information to generate a classification mark, and is transmitted to a data verification system (220);
data verification system (220): the system is used for receiving the water use information with the classification marks, which is transmitted by the data classification system (210), verifying the water use information, generating the early warning information or the warning information when the verification is abnormal, transmitting the verified water use information to the operation monitoring system and the data storage system (500), and transmitting the early warning information and the warning information to the pre-warning system (400).
4. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the operation monitoring system (300) includes:
state detection system (310): the intelligent water service system is used for receiving the water consumption information transmitted by the data processing system (200), detecting the water operation state of the intelligent water service system according to the water consumption information, and transmitting the operation state information to the data storage system (500);
exception handling system (320): the intelligent water service system is used for generating an abnormal signal when the water running state of the intelligent water service system is abnormal, generating the early warning information or the warning information according to the abnormal signal, and transmitting the early warning information and the warning information to the early warning system (400).
5. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the pre-warning system (400) comprises:
early warning judgment system (410): the early warning system is used for receiving the early warning information transmitted by the operation monitoring system (300), judging whether the early warning information is accurate or not, generating an early warning signal and transmitting the early warning signal to the display system (700) if the early warning information is judged to be accurate, and generating a feedback signal and transmitting the feedback signal to the operation monitoring system (300) if the early warning information is judged to be not accurate;
alarm determination system (420): the alarm information processing system is used for receiving the alarm information transmitted by the operation monitoring system (300), judging whether the alarm information is accurate, if so, generating the alarm signal and transmitting the alarm signal to the display system (700), and if not, generating a feedback signal and transmitting the feedback signal to the operation monitoring system (300).
6. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the self-learning system (600) comprises:
knowledge base module (610): the water consumption information, the running state information, the early warning instruction and the alarm instruction are stored;
an instruction module (620): for receiving said update information input by said user, for communicating said update information to an reasoner module (630);
reasoner module (630): the system is used for iterating the water consumption information, the running state information, the early warning instruction and the warning instruction in the knowledge base module (610) according to a time effect to generate an updated early warning threshold value and an updated warning threshold value, and is used for receiving the updated information transmitted by the instruction module and generating the updated early warning threshold value and the updated warning threshold value according to the updated information.
7. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the display system (700) comprises one or a combination of the following devices
Display, speaker, signal lamp.
8. The visual neural network monitoring system for the intelligent water management platform according to claim 1, wherein: the intelligent water affair system comprises:
water source collection system (1): for collecting water at a water source for conveying the water to a water treatment system (2);
water treatment system (2): the system is used for receiving the water transmitted by the water source acquisition system (1), processing the water and generating industrial water, transmitting the industrial water to a water circulation system (3), receiving industrial wastewater transmitted by the industrial water system, receiving sewage transmitted by a sewage collection system, processing the industrial wastewater and the sewage and generating recovered water, and transmitting the recovered water to the water circulation system (3);
water circulation system (3): for receiving the industrial water and the recovered water delivered by the water treatment system (2) for delivering the industrial water and the recovered water to an industrial water system (4);
industrial water system (4): for receiving the industrial water and the recycled water delivered by the water circulation system (3) and for delivering the industrial wastewater resulting from the production to the water treatment system (2);
sewage collection system (5): for recovering domestic water and fire-fighting water, for mixing the domestic water and the fire-fighting water into the sewage to be conveyed to the water treatment system (2).
9. The visual neural network monitoring system for the intelligent water management platform according to claim 8, wherein: the water treatment system (2) comprises:
raw water treatment system (21): for receiving the water delivered by the water source collection system (1), for treating the water and generating industrial water, for delivering the industrial water to a water circulation system (3);
industrial wastewater treatment system (22): for receiving the industrial wastewater delivered by the industrial water system (4), for receiving the sewage delivered by a sewage collection system, for treating the industrial wastewater and the sewage and generating recovered water, for delivering the recovered water to the water circulation system (3); the industrial wastewater treatment system (22) comprises:
industrial wastewater classification system (221): for receiving the industrial wastewater delivered by the industrial water system (4), for classifying the industrial wastewater, the classification result comprising oily wastewater, coal-containing wastewater, desulfurized wastewater, ammonia-containing wastewater, for delivering the oily wastewater to an oily wastewater treatment system (222), for delivering the coal-containing wastewater to a coal-containing wastewater treatment system (223), for delivering the desulfurized wastewater to a desulfurized wastewater treatment system (224), for delivering the ammonia-containing wastewater to an ammonia-containing wastewater treatment system (225);
oily wastewater treatment system (222): the system is used for receiving the oily wastewater transmitted by the industrial wastewater classification system (221), treating the oily wastewater, extracting the recovered water after oil is discharged, and transmitting the recovered water to the water circulation system (3);
coal-containing wastewater treatment system (223): the system is used for receiving the coal-containing wastewater transmitted by the industrial wastewater classification system (221), treating the coal-containing wastewater, extracting the recovered water after removing wastes, and transmitting the recovered water to the water circulation system (3).
10. The visual neural network monitoring system for the intelligent water management platform according to claim 9, wherein: the water treatment system (2) further comprises:
desulfurization wastewater treatment system (224): the system is used for receiving the desulfurization wastewater transmitted by the industrial wastewater classification system (221), treating the desulfurization wastewater, extracting the recovered water after removing wastes, and transmitting the recovered water to the water circulation system (3);
an ammonia-containing wastewater treatment system (225): the system is used for receiving the ammonia-containing wastewater transmitted by the industrial wastewater classification system (221), treating the ammonia-containing wastewater, extracting the recovered water after removing wastes, and transmitting the recovered water to the water circulation system (3).
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