CN113376348A - Fault detection method and system of water quality on-line monitoring equipment - Google Patents
Fault detection method and system of water quality on-line monitoring equipment Download PDFInfo
- Publication number
- CN113376348A CN113376348A CN202110927327.3A CN202110927327A CN113376348A CN 113376348 A CN113376348 A CN 113376348A CN 202110927327 A CN202110927327 A CN 202110927327A CN 113376348 A CN113376348 A CN 113376348A
- Authority
- CN
- China
- Prior art keywords
- sensor
- fault
- liquid level
- level sensor
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M10/00—Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
-
- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Automation & Control Theory (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Fluid Mechanics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The present disclosure provides a fault detection method and a system for a water quality on-line monitoring device, wherein the method comprises the following steps: judging whether the temperature control system has a fault or not, and outputting a judgment result; and judging whether the power system has a fault or not, and outputting a judgment result. According to the fault detection method and system for the water quality on-line monitoring equipment, the temperature control system and the power system are respectively detected and judgment results are output, so that fault detection of all execution parts of the water quality on-line monitoring equipment is realized, fault sources are accurately judged, detailed analysis help is provided for field operation and maintenance personnel, maintenance cost is reduced, maintenance efficiency is improved, and accidents caused by faults in the operation process of the whole equipment are effectively avoided.
Description
Technical Field
The disclosure relates to the technical field of water quality monitoring, in particular to a fault detection method and system of water quality on-line monitoring equipment.
Background
With the use of the previous generations of water quality on-line monitoring equipment, various equipment faults occur more or less in the application, the product data are influenced to cause data abnormity, and the whole equipment is permanently damaged to even cause serious leakage of certain reagents to cause injury to personnel.
The existing fault detection means of the water quality on-line monitoring equipment has a plurality of leaks and cannot locate specific fault parts, so that only all parts can be replaced to remove faults, and the maintenance cost is high and the time consumption is long.
Disclosure of Invention
The present disclosure is directed to a method and a system for detecting faults of an online water quality monitoring device, which can solve one or more of the above-mentioned problems in the prior art.
According to one aspect of the disclosure, a fault detection method of a water quality online monitoring device is provided, which includes judging whether a temperature control system has a fault, and outputting a judgment result; judging whether the power system has a fault or not, and outputting a judgment result; judging whether the temperature control system fails or not comprises starting a heating device of the water quality on-line monitoring equipment; collecting data of a temperature measuring device, and judging whether the temperature rises or not; if the temperature rises, the temperature control system has no fault, and if the temperature does not rise, the temperature control system has a fault; and when the temperature control system fails, respectively carrying out fault judgment on the heating device and the temperature measuring device.
In some embodiments, the determining the fault of the heating device includes obtaining a current of a heating circuit in the heating device, determining whether the current is greater than a preset current, if the current is greater than the preset current, the heating device is normal, and if the current is less than the preset current, the heating device is faulty.
In some embodiments, the fault determining of the temperature measuring device includes acquiring a detection value of a temperature sensor in the temperature measuring device, determining whether the detection value is equal to a predetermined value, and if the detection value is equal to a preset detection value, the temperature sensor is not connected or is open, and the temperature measuring device is in fault; if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down.
In some embodiments, determining whether the powertrain system is malfunctioning includes,
the peristaltic pump is started and the pressure of the pump is controlled,
acquiring the working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, damaging a peristaltic pump loop, and finishing detection;
if the water level is normal, the valve to be detected is opened, the peristaltic pump pumps the liquid corresponding to the valve to be detected to the first water sensor, wherein the valve to be detected is any one of the continuous discharge valves;
acquiring the response information of each sensor, judging whether the response of the first water sensor is overtime or not,
if the response of the first water sensor is overtime, judging whether liquid exists in the metering pipe or not,
if liquid exists in the metering pipe, the first water sensor fails to finish detection, and if no liquid exists in the metering pipe, the valve to be detected fails to finish detection;
if the response of the first water sensor is not overtime, judging whether the first response sensor is a low liquid level sensor;
if the first responding sensor is not a low liquid level sensor, judging whether the first responding sensor is a high liquid level sensor;
if the first responding sensor is a high liquid level sensor, the low liquid level sensor is in failure, and the high liquid level sensor is normal;
if the first responding sensor is not the high liquid level sensor, both the low liquid level sensor and the high liquid level sensor are in failure, the first water sensor is normal, and the detection is finished;
if the first responding sensor is a low liquid level sensor, the low liquid level sensor is normal, whether the second responding sensor is a high liquid level sensor is judged,
if the second responding sensor is not the high liquid level sensor, the high liquid level sensor is in failure, and the detection is finished;
and if the second responding sensor is a high liquid level sensor, the high liquid level sensor is normal, and the detection is finished.
In some embodiments, when the detection result is that at least one valve of the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor and the continuous drainage valve is normal, determining whether the power system has a fault further comprises,
closing each valve in the continuous discharge valve, opening the common valve, and opening the peristaltic pump to enable the peristaltic pump to push the liquid in the metering pipe to the common valve;
judging whether the liquid level in the metering pipe drops or not;
if the liquid level in the metering pipe drops, the public valve has no fault;
if the liquid level in the metering pipe does not drop, the common valve has a normally closed fault;
when the public valve has no fault, the response information of the second water sensor is obtained, whether the response is overtime or not is judged,
if the response of the second water sensor is overtime, the second water sensor fails;
and if the response of the second water sensor is not overtime, the second water sensor is normal.
According to another aspect of the present disclosure, there is provided a fault detection system of a water quality online monitoring device, for performing a fault detection method of any one of the above water quality online monitoring devices, comprising,
the judgment result output module is used for outputting a fault judgment result;
the temperature control system detection module is used for judging whether the temperature control system has a fault or not; and
the power system detection module is used for judging whether the power system has a fault;
wherein, the temperature control system detection module comprises,
the heating device starting unit is used for starting a heating device of the water quality on-line monitoring equipment;
the temperature rise judging unit is used for acquiring data of the temperature measuring device and judging whether the temperature rises or not;
the heating device fault judging unit is used for judging the fault of the heating device when the temperature is not increased; and
and the temperature measuring device fault judging unit is used for judging the fault of the temperature measuring device when the temperature is not increased.
In some embodiments, the fault determining unit of the heating device may determine that the heating device has a fault by obtaining a current of a heating circuit in the heating device, and determining whether the current is greater than a preset current, where if the current is greater than the preset current, the heating device is normal, and if the current is less than the preset current, the heating device has a fault.
In some embodiments, the fault determining unit of the temperature measuring device may determine that the temperature measuring device has failed by acquiring a detection value of a temperature sensor in the temperature measuring device, determining whether the detection value is equal to a preset detection value, and if the detection value is equal to the preset detection value, the temperature sensor is disconnected or open-circuited, and the temperature measuring device has failed; if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down.
In some embodiments, the powertrain detection module includes,
the peristaltic pump fault judging unit is used for detecting the fault of the peristaltic pump, and comprises the steps of starting the peristaltic pump, obtaining the working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, damaging a peristaltic pump loop, and finishing detection;
the valve fault judging unit is used for detecting the valve fault and comprises the steps that when the working current of the peristaltic pump is normal, the valve to be detected is opened, the peristaltic pump pumps liquid corresponding to the valve to be detected to the first water sensor, and the valve to be detected is any one of the continuous discharge valves; acquiring response information of each sensor, judging whether the response of the first water sensor is overtime or not, if the response of the first water sensor is overtime, judging whether liquid exists in the metering pipe or not, if the response of the first water sensor is not overtime, judging that the valve to be detected is in fault, and finishing detection;
the sensor fault judging unit is used for detecting faults of the low liquid level sensor, the high liquid level sensor and the first water sensor, comprises the steps that when the response of the first water sensor is overtime and liquid exists in the metering pipe, the first water sensor is in fault, and if the response of the first water sensor is not overtime, whether the first responding sensor is the low liquid level sensor is judged; if the first responding sensor is not a low liquid level sensor, judging whether the first responding sensor is a high liquid level sensor; if the first responding sensor is a high liquid level sensor, the low liquid level sensor is in failure, and the high liquid level sensor is normal; if the first responding sensor is not the high liquid level sensor, both the low liquid level sensor and the high liquid level sensor are in failure, the first water sensor is normal, and the detection is finished; if the first responding sensor is a low liquid level sensor, the low liquid level sensor is normal, whether the second responding sensor is a high liquid level sensor or not is judged, and if the second responding sensor is not the high liquid level sensor, the high liquid level sensor is in a fault state, and the detection is finished; and if the second responding sensor is a high liquid level sensor, the high liquid level sensor is normal, and the detection is finished.
In some embodiments, the powertrain detection module further comprises,
a common valve fault judging unit, which is used for carrying out common valve fault detection when the detection result is that at least one valve in the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor and the continuous drainage valve is normal, wherein the common valve fault detection comprises the steps of closing each valve in the continuous drainage valve, opening the common valve and opening the peristaltic pump, so that the peristaltic pump pushes liquid in the metering pipe to the common valve, whether the liquid level in the metering pipe drops or not is judged, if the liquid level in the metering pipe drops, the common valve has no fault, and if the liquid level in the metering pipe does not drop, the common valve has a normal close fault;
and the second water sensor judging unit is used for detecting the fault of the second water sensor, acquiring the response information of the second water sensor when the public valve has no fault, judging whether the response is overtime or not, if the response of the second water sensor is overtime, the second water sensor is in fault, and if the response of the second water sensor is not overtime, the second water sensor is normal.
According to the fault detection method and system for the water quality on-line monitoring equipment, the temperature control system and the power system are respectively detected and judgment results are output, so that fault detection of all execution parts of the water quality on-line monitoring equipment is realized, fault sources are accurately judged, detailed analysis help is provided for field operation and maintenance personnel, maintenance cost is reduced, maintenance efficiency is improved, and accidents caused by faults in the operation process of the whole equipment are effectively avoided.
In addition, in the technical solutions of the present disclosure, the technical solutions can be implemented by adopting conventional means in the art, unless otherwise specified.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a fault detection method of a water quality online monitoring device according to an embodiment of the present disclosure.
Fig. 2 is a schematic structural diagram of components of a power system in the water quality online monitoring device according to an embodiment of the present disclosure.
Fig. 3 is a flowchart of step S10 in the fault detection method of the online water quality monitoring device according to an embodiment of the present disclosure.
Fig. 4 is a flowchart of step S20 in the fault detection method of the online water quality monitoring device according to an embodiment of the present disclosure.
Fig. 5 is a partial flowchart of step S20 in a fault detection method of an online water quality monitoring device according to another embodiment of the present disclosure.
Fig. 6 is a schematic structural diagram of a fault detection system of the water quality online monitoring device according to an embodiment of the present disclosure.
Fig. 7 is a schematic structural diagram of a detection module of a temperature control system in a fault detection system of an online water quality monitoring device according to an embodiment of the present disclosure.
Fig. 8 is a schematic structural diagram of a power system detection module in a fault detection system of an online water quality monitoring device according to an embodiment of the present disclosure.
Fig. 9 is a schematic structural diagram of a power system detection module in a fault detection system of an online water quality monitoring device according to another embodiment of the disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Example 1:
in this embodiment, referring to the attached fig. 1 of the specification, a method for detecting a fault of a water quality online monitoring device is provided, which includes the following steps:
and S10, judging whether the temperature control system has a fault or not, and outputting a judgment result.
And S20, judging whether the power system has a fault or not and outputting a judgment result.
According to the fault detection method and system for the water quality on-line monitoring equipment, the fault detection of all execution components of the water quality on-line monitoring equipment is realized by respectively detecting the temperature control system and the power system and outputting the judgment result, the fault source is accurately judged, the judgment result is output, detailed analysis help is provided for field operation and maintenance personnel, the maintenance cost is reduced, the maintenance efficiency is improved, and the occurrence of accidents caused by faults in the operation process of the whole equipment is effectively avoided.
In an alternative embodiment, the order of execution of steps S10 and S20 may be reversed.
Specifically, in the temperature control system, the components to be detected include a heating device and a temperature measuring device. The connection mode of each part in the power system can refer to the attached figure 2 in the specification, in the power system, the part needing to be detected comprises a peristaltic pump, a first water sensor, a second water sensor, a public valve, a high liquid level sensor, a low liquid level sensor and a plurality of valves in a continuous discharge valve, wherein the high liquid level sensor and the low liquid level sensor are arranged in a metering pipe.
In an alternative embodiment, referring to fig. 3 of the specification, the step of determining whether the temperature control system fails specifically includes the following steps:
s101: and starting a heating device of the water quality on-line monitoring equipment.
S102: and collecting data of the temperature measuring device and judging whether the temperature rises.
S103: if the temperature rises, the temperature control system has no fault.
S104: if the temperature is not increased, the temperature control system fails, and the heating device and the temperature measuring device need to be subjected to fault judgment respectively.
Specifically, the fault determining of the heating device may include obtaining a current of a heating circuit in the heating device, determining whether the current is greater than a preset current, if the current is greater than the preset current, the heating device is normal, and if the current is less than the preset current, the heating device is faulty. Wherein the preset current may be determined by the power of the peristaltic pump, in an alternative embodiment the preset current may be 1A.
Specifically, the fault judgment of the temperature measuring device may include obtaining a detection value of a temperature sensor in the temperature measuring device, and judging whether the detection value is equal to a preset detection value, and if the detection value is equal to the preset detection value, the temperature sensor is not connected or is open, and the temperature measuring device is in fault; if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down. The preset detection value may be determined by a parameter of the hardware circuit, and in an alternative embodiment, the preset detection value may be 200. In an alternative embodiment, the normal range of the sensed values may be set to a value that fluctuates by 10% above and below the sensed values.
From this, through operating heating device and temperature measuring device and data acquisition to whether judging the intensification is unusual, realize heating device and temperature measuring device's closed loop detection, further fix a position the trouble source in the temperature control system, realize accurate fault detection, improve maintenance efficiency, reduce maintenance cost.
In an alternative embodiment, referring to fig. 4 of the specification, determining if a power system failure has occurred specifically includes the following steps,
s201: the peristaltic pump is started and the pressure of the pump is controlled,
s202: acquiring the working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, executing a step S203, and if so, executing a step S204;
s203: judging that the peristaltic pump loop is damaged, and ending the detection;
s204: opening a valve to be detected, and pumping liquid corresponding to the valve to be detected to a first water sensor by a peristaltic pump, wherein the valve to be detected is any one of continuous discharge valves;
s205: acquiring response information of each sensor, judging whether the response of the first water sensor is overtime or not, if yes, executing step S206, and if not, executing step S209;
s206: judging whether liquid exists in the metering tube or not, if so, executing step S207, and if not, executing step S208;
s207: determining that the first water sensor is malfunctioning, ending the detection,
s208: judging the fault of the valve to be detected, and finishing the detection;
s209: judging whether the first responding sensor is a low liquid level sensor, if not, executing the step S210, and if so, executing the step S213;
s210: judging whether the first responding sensor is a high liquid level sensor or not, if so, executing step S211, and if not, executing step S212;
s211: judging that the low liquid level sensor is in fault and the high liquid level sensor is normal;
s212: judging that both the low liquid level sensor and the high liquid level sensor are in fault, and the first water sensor is normal, and finishing detection;
s213: determining that the low level sensor is normal, and determining whether the second responding sensor is a high level sensor, if the second responding sensor is not a high level sensor, performing step S214, and if the second responding sensor is a high level sensor, performing step S215;
s214: judging the fault of the high liquid level sensor and finishing the detection;
s215: and (5) judging that the high liquid level sensor is normal, and finishing detection.
From this, through operation and information acquisition to each part in the driving system to carry out relevant judgement to response information, realize the closed loop detection between each part in the driving system, concrete fault point in the accurate positioning driving system realizes accurate fault detection, improves maintenance efficiency, reduces the cost of overhaul.
In an alternative embodiment, the detection of multiple valves in the continuous exhaust valve can be realized by performing steps S204 to S208 in a loop.
In an alternative embodiment, when the first valve to be tested is tested, the valve corresponding to the distilled water reagent can be selected first.
In an alternative embodiment, referring to fig. 5 of the specification, when the detection result indicates that at least one valve of the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor and the continuous drainage valve is normal, determining whether the power system has a fault further includes,
s221: closing each valve in the continuous discharge valve, opening the common valve, and opening the peristaltic pump to enable the peristaltic pump to push the liquid in the metering pipe to the common valve;
s222: judging whether the liquid level in the metering pipe drops or not;
s223: if the liquid level in the metering pipe drops, the public valve is judged to be faultless, and step S225 is executed;
s224: if the liquid level in the metering pipe does not drop, the common valve is judged to have a normally closed fault, and the detection is finished;
s225: when the public valve has no fault, acquiring response information of the second water sensor, and judging whether the response is overtime;
s226: if the response of the second water sensor is overtime, judging that the second water sensor has a fault, and ending the detection;
s227: and if the response of the second water sensor is not overtime, judging that the second water sensor is normal, and ending the detection.
From this, when at least one valve is normal in peristaltic pump, first water sensor, high level sensor, low level sensor and the row valve of company, can leave reagent in the metering tube, open the peristaltic pump this moment, make the peristaltic pump push the reagent in the metering tube to public valve, can detect public valve and second water sensor, concrete fault point in the accurate positioning power system realizes accurate fault detection, improves maintenance efficiency, reduces the cost of overhaul.
In an alternative embodiment, the first water sensor and the second water sensor may be both non-contact water sensors.
Example 2:
in this embodiment, referring to fig. 6-8 of the specification, there is provided a fault detection system of a water quality on-line monitoring device, for performing the fault detection method of any one of the above method embodiments, including,
a judgment result output module 11, configured to output a fault judgment result;
the temperature control system detection module 12 is used for judging whether the temperature control system has a fault; and
and the power system detection module 13 is used for judging whether the power system has a fault.
In an alternative embodiment, the temperature control system detection module 12 includes,
a heating device starting unit 121 for starting a heating device of the water quality online monitoring apparatus;
a temperature rise judging unit 122, configured to collect data of the temperature measuring device and judge whether the temperature rises;
a heating device failure judgment unit 123 for performing failure judgment on the heating device when the temperature is not increased; and
and the temperature measuring device fault judging unit 124 is used for judging the fault of the temperature measuring device when the temperature is not increased.
In an alternative embodiment, in the heating device malfunction determination unit 123, performing malfunction determination on the heating device includes,
the current of a heating circuit in the heating device is obtained,
and judging whether the current is greater than the preset current, if so, judging that the heating device is normal, and if not, judging that the heating device is in fault.
In an alternative embodiment, in the temperature measuring device fault determining unit 124, the fault determining of the temperature measuring device includes,
the detection value of a temperature sensor in the temperature measuring device is obtained,
judging whether the detection value is equal to a preset detection value or not, if so, judging that the temperature sensor is not connected or is opened, and judging that the temperature measuring device is in fault;
if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down.
In an alternative embodiment, the powertrain detection module 13 includes,
the peristaltic pump fault judging unit 131 is used for detecting the fault of the peristaltic pump, and comprises the steps of starting the peristaltic pump, obtaining the working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, damaging a peristaltic pump loop, and finishing detection;
the valve fault judging unit 132 is used for detecting the valve fault, and comprises the steps of opening a valve to be detected when the working current of the peristaltic pump is normal, pumping the liquid corresponding to the valve to be detected to the first water sensor by the peristaltic pump, wherein the valve to be detected is any one of the continuous discharge valves; acquiring response information of each sensor, judging whether the response of the first water sensor is overtime or not, if the response of the first water sensor is overtime, judging whether liquid exists in the metering pipe or not, if the response of the first water sensor is not overtime, judging that the valve to be detected is in fault, and finishing detection;
a sensor fault determination unit 133, configured to detect faults of the low liquid level sensor, the high liquid level sensor, and the first water sensor, where the first water sensor is faulty when a response of the first water sensor is overtime and there is liquid in the metering pipe, and if the response of the first water sensor is not overtime, it is determined whether the first sensor that responds is a low liquid level sensor; if the first responding sensor is not a low liquid level sensor, judging whether the first responding sensor is a high liquid level sensor; if the first responding sensor is a high liquid level sensor, the low liquid level sensor is in failure, and the high liquid level sensor is normal; if the first responding sensor is not the high liquid level sensor, both the low liquid level sensor and the high liquid level sensor are in failure, the first water sensor is normal, and the detection is finished; if the first responding sensor is a low liquid level sensor, the low liquid level sensor is normal, whether the second responding sensor is a high liquid level sensor or not is judged, and if the second responding sensor is not the high liquid level sensor, the high liquid level sensor is in a fault state, and the detection is finished; and if the second responding sensor is a high liquid level sensor, the high liquid level sensor is normal, and the detection is finished.
In an alternative embodiment, referring to fig. 9 of the specification, when the detection result is that at least one valve of the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor and the continuous drainage valve is normal, the power system detection module 13 further includes,
a common valve fault determining unit 134 for detecting common valve faults, including closing each valve in the continuous discharge valve, opening the common valve, opening the peristaltic pump, making the peristaltic pump push the liquid in the metering tube to the common valve, determining whether the liquid level in the metering tube drops, if the liquid level in the metering tube drops, the common valve has no fault, and if the liquid level in the metering tube does not drop, the common valve has a normally closed fault;
and a second water sensor determining unit 135, configured to detect a fault of the second water sensor, acquire response information of the second water sensor when the common valve has no fault, determine whether the response is overtime, if the response of the second water sensor is overtime, the second water sensor has a fault, and if the response of the second water sensor is not overtime, the second water sensor is normal.
According to the fault detection method and system for the water quality on-line monitoring equipment, the temperature control system and the power system are respectively detected and judgment results are output, so that fault detection of all execution parts of the water quality on-line monitoring equipment is realized, fault sources are accurately judged, detailed analysis help is provided for field operation and maintenance personnel, maintenance cost is reduced, maintenance efficiency is improved, and accidents caused by faults in the operation process of the whole equipment are effectively avoided.
The sequence of the embodiments in this specification is merely for description, and does not represent the advantages or disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
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, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present disclosure and is not intended to limit the present disclosure, which is to be construed in any way as imposing limitations thereon, such as the appended claims, and all changes and equivalents that fall within the true spirit and scope of the present disclosure.
Claims (8)
1. The fault detection method of the water quality on-line monitoring equipment is characterized by comprising the following steps of,
judging whether the temperature control system has a fault or not, and outputting a judgment result; and
judging whether the power system has a fault or not, and outputting a judgment result;
wherein the judging whether the temperature control system has a fault comprises,
starting a heating device of the water quality on-line monitoring equipment;
collecting data of a temperature measuring device, and judging whether the temperature rises or not;
if the temperature rises, the temperature control system has no fault, and if the temperature does not rise, the temperature control system has a fault;
when the temperature control system fails, respectively carrying out fault judgment on the heating device and the temperature measuring device;
the determining whether the power system is malfunctioning may include,
the peristaltic pump is started and the pressure of the pump is controlled,
acquiring working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, damaging a peristaltic pump loop, and finishing detection;
if the water level is normal, a valve to be detected is opened, and the peristaltic pump pumps liquid corresponding to the valve to be detected to the first water sensor, wherein the valve to be detected is any one of the continuous discharge valves;
acquiring the response information of each sensor, judging whether the response of the first water sensor is overtime or not,
if the response of the first water sensor is overtime, judging whether liquid exists in the metering pipe or not,
if liquid exists in the metering pipe, the first water sensor fails to finish detection, and if no liquid exists in the metering pipe, the valve to be detected fails to finish detection;
if the response of the first water sensor is not overtime, judging whether the first response sensor is a low liquid level sensor;
if the first responding sensor is not a low liquid level sensor, judging whether the first responding sensor is a high liquid level sensor;
if the first responding sensor is a high liquid level sensor, the low liquid level sensor is in failure, and the high liquid level sensor is normal;
if the first responding sensor is not the high liquid level sensor, both the low liquid level sensor and the high liquid level sensor are in failure, the first water sensor is normal, and the detection is finished;
if the first responding sensor is a low liquid level sensor, the low liquid level sensor is normal, whether the second responding sensor is a high liquid level sensor is judged,
if the second responding sensor is not the high liquid level sensor, the high liquid level sensor is in failure, and the detection is finished;
and if the second responding sensor is a high liquid level sensor, the high liquid level sensor is normal, and the detection is finished.
2. The method for detecting the fault of the water quality on-line monitoring equipment according to claim 1, wherein the fault judgment of the heating device comprises,
the current of a heating circuit in the heating device is obtained,
and judging whether the current is greater than a preset current, if so, judging that the heating device is normal, and if not, judging that the heating device is in fault.
3. The fault detection method of the water quality on-line monitoring equipment according to claim 1, wherein the fault judgment of the temperature measuring device comprises,
the detection value of a temperature sensor in the temperature measuring device is obtained,
judging whether the detection value is equal to a preset value or not, if so, judging that the temperature sensor is not connected or is opened, and judging that the temperature measuring device is in fault;
if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down.
4. The method for detecting the fault of the water quality on-line monitoring equipment according to claim 1, wherein when the detection result indicates that at least one valve of the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor and the continuous drainage valve is normal, the step of judging whether the power system has the fault further comprises the step of,
closing each valve in the continuous discharge valve, opening the common valve, and opening the peristaltic pump to enable the peristaltic pump to push the liquid in the metering pipe to the common valve;
judging whether the liquid level in the metering pipe drops or not;
if the liquid level in the metering pipe is reduced, the public valve has no fault;
if the liquid level in the metering pipe does not drop, the common valve has a normally closed fault;
when the public valve has no fault, the response information of the second water sensor is obtained, whether the response is overtime or not is judged,
if the response of the second water sensor is overtime, the second water sensor fails;
and if the response of the second water sensor is not overtime, the second water sensor is normal.
5. A fault detection system of a water quality on-line monitoring device, which is used for executing the fault detection method of the water quality on-line monitoring device as claimed in any one of claims 1 to 4, and is characterized by comprising,
the judgment result output module is used for outputting a fault judgment result;
the temperature control system detection module is used for judging whether the temperature control system has a fault or not; and
the power system detection module is used for judging whether the power system has a fault;
wherein the temperature control system detection module comprises a temperature control unit,
the heating device starting unit is used for starting a heating device of the water quality on-line monitoring equipment;
the temperature rise judging unit is used for acquiring data of the temperature measuring device and judging whether the temperature rises or not;
the heating device fault judging unit is used for judging the fault of the heating device when the temperature is not increased; and
the temperature measuring device fault judging unit is used for judging the fault of the temperature measuring device when the temperature is not increased;
the power system detection module comprises a power system detection module,
the peristaltic pump fault judging unit is used for detecting the fault of the peristaltic pump, and comprises the steps of starting the peristaltic pump, obtaining the working current of the peristaltic pump, judging whether the working current of the peristaltic pump is normal or not, if not, damaging a peristaltic pump loop, and finishing detection;
the valve fault judging unit is used for detecting the valve fault and comprises the steps that when the working current of the peristaltic pump is normal, a valve to be detected is opened, the peristaltic pump pumps liquid corresponding to the valve to be detected to the first water sensor, and the valve to be detected is any one of the continuous discharge valves; acquiring response information of each sensor, judging whether the response of the first water sensor is overtime or not, if the response of the first water sensor is overtime, judging whether liquid exists in the metering pipe or not, if the response of the first water sensor is not overtime, judging that the valve to be detected is in fault, and finishing detection;
the sensor fault judging unit is used for detecting faults of the low liquid level sensor, the high liquid level sensor and the first water sensor, comprises the steps that when the response of the first water sensor is overtime and liquid exists in the metering pipe, the first water sensor is in fault, and if the response of the first water sensor is not overtime, whether the first responding sensor is the low liquid level sensor is judged; if the first responding sensor is not a low liquid level sensor, judging whether the first responding sensor is a high liquid level sensor; if the first responding sensor is a high liquid level sensor, the low liquid level sensor is in failure, and the high liquid level sensor is normal; if the first responding sensor is not the high liquid level sensor, both the low liquid level sensor and the high liquid level sensor are in failure, the first water sensor is normal, and the detection is finished; if the first responding sensor is a low liquid level sensor, the low liquid level sensor is normal, whether the second responding sensor is a high liquid level sensor or not is judged, and if the second responding sensor is not the high liquid level sensor, the high liquid level sensor is in a fault state, and the detection is finished; and if the second responding sensor is a high liquid level sensor, the high liquid level sensor is normal, and the detection is finished.
6. The system of claim 5, wherein the heating device failure determination unit is configured to determine a failure of the heating device,
the current of a heating circuit in the heating device is obtained,
and judging whether the current is greater than a preset current, if so, judging that the heating device is normal, and if not, judging that the heating device is in fault.
7. The system for detecting the fault of the water quality on-line monitoring equipment according to claim 5, wherein the fault judgment of the temperature measuring device in the fault judgment unit of the temperature measuring device comprises,
the detection value of a temperature sensor in the temperature measuring device is obtained,
judging whether the detection value is equal to a preset detection value or not, if so, judging that the temperature sensor is not connected or is opened, and judging that the temperature measuring device is in fault;
if the detection value is not equal to the preset detection value, whether the detection value is within a normal value range or not is judged, if yes, the temperature measuring device is normal, and if not, the temperature sensor is damaged, and the temperature measuring device breaks down.
8. The fault detection system of the water quality on-line monitoring equipment as claimed in claim 5, wherein the power system detection module further comprises,
a common valve fault judging unit, configured to perform common valve fault detection when a detection result indicates that at least one of the valves in the peristaltic pump, the first water sensor, the high liquid level sensor, the low liquid level sensor, and the continuous drainage valve is normal, including closing each valve in the continuous drainage valve, opening a common valve, and opening the peristaltic pump, so that the peristaltic pump pushes liquid in the metering pipe to the common valve, and judging whether the liquid level in the metering pipe drops, if the liquid level in the metering pipe drops, the common valve is faultless, and if the liquid level in the metering pipe does not drop, the common valve is faulted normally closed;
and the second water sensor judging unit is used for detecting the fault of the second water sensor, acquiring the response information of the second water sensor when the public valve has no fault, judging whether the response is overtime or not, if the response of the second water sensor is overtime, the second water sensor is in fault, and if the response of the second water sensor is not overtime, the second water sensor is normal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110927327.3A CN113376348B (en) | 2021-08-13 | 2021-08-13 | Fault detection method and system of water quality on-line monitoring equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110927327.3A CN113376348B (en) | 2021-08-13 | 2021-08-13 | Fault detection method and system of water quality on-line monitoring equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113376348A true CN113376348A (en) | 2021-09-10 |
| CN113376348B CN113376348B (en) | 2021-10-22 |
Family
ID=77577085
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110927327.3A Active CN113376348B (en) | 2021-08-13 | 2021-08-13 | Fault detection method and system of water quality on-line monitoring equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113376348B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117030964A (en) * | 2023-10-07 | 2023-11-10 | 哈尔滨凯纳科技股份有限公司 | Control system and method for water quality analyzer |
| CN117054676A (en) * | 2023-10-13 | 2023-11-14 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140379302A1 (en) * | 2013-06-20 | 2014-12-25 | Electronics And Telecommunications Research Institute | Apparatus and method for controlling water quality sensor faults |
| CN208736866U (en) * | 2018-08-29 | 2019-04-12 | 常州市卫生监督所 | A kind of drinking water on-line monitoring equipment fault diagnosis filter system |
| CN110579674A (en) * | 2019-10-14 | 2019-12-17 | 珠海格力电器股份有限公司 | Fault detection circuit with simplified structure, fault judgment method and equipment |
| CN112504715A (en) * | 2020-12-10 | 2021-03-16 | 深圳市道中创新科技有限公司 | Fault information processing method and device, computer equipment and storage medium |
| CN112858617A (en) * | 2021-02-04 | 2021-05-28 | 杭州绿洁环境科技股份有限公司 | Fault identification method and device of online water quality monitor |
-
2021
- 2021-08-13 CN CN202110927327.3A patent/CN113376348B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140379302A1 (en) * | 2013-06-20 | 2014-12-25 | Electronics And Telecommunications Research Institute | Apparatus and method for controlling water quality sensor faults |
| CN208736866U (en) * | 2018-08-29 | 2019-04-12 | 常州市卫生监督所 | A kind of drinking water on-line monitoring equipment fault diagnosis filter system |
| CN110579674A (en) * | 2019-10-14 | 2019-12-17 | 珠海格力电器股份有限公司 | Fault detection circuit with simplified structure, fault judgment method and equipment |
| CN112504715A (en) * | 2020-12-10 | 2021-03-16 | 深圳市道中创新科技有限公司 | Fault information processing method and device, computer equipment and storage medium |
| CN112858617A (en) * | 2021-02-04 | 2021-05-28 | 杭州绿洁环境科技股份有限公司 | Fault identification method and device of online water quality monitor |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117030964A (en) * | 2023-10-07 | 2023-11-10 | 哈尔滨凯纳科技股份有限公司 | Control system and method for water quality analyzer |
| CN117054676A (en) * | 2023-10-13 | 2023-11-14 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
| CN117054676B (en) * | 2023-10-13 | 2023-12-19 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113376348B (en) | 2021-10-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113376348B (en) | Fault detection method and system of water quality on-line monitoring equipment | |
| KR101967339B1 (en) | System and Method for Diagnosing Fault and Backup of ADAS Sensors based on Deep Learning | |
| EP3905263A1 (en) | Nuclear power plant leakage monitoring alarm method and alarm system | |
| EP2634660B1 (en) | Anomaly diagnostic device and industrial machine | |
| CN109637680B (en) | Nuclear power station leakage monitoring alarm method and alarm system | |
| US6755077B2 (en) | Diagnostic system for identifying fuel injector failure in a fuel cell system | |
| CN109725220B (en) | Detection method, system and device for transformer oil cooling loop | |
| KR102206737B1 (en) | Method and system for fault diagnosis of pump-turbines based on machine learning | |
| CN110608661A (en) | Sensor detection circuit and method and magnetic suspension bearing system | |
| KR20210108168A (en) | A diagnosis method of malfunction of pumps that is based on machine-learning | |
| GB2619825A (en) | A fault diagnosis method of blast blower and apparatus, electronic device thereof | |
| CN110469522A (en) | A kind of method for detecting abnormality and device of drainage system | |
| CN112147442B (en) | Electromagnetic valve fault detection method and device, vehicle and storage medium | |
| CN116382130A (en) | Multi-agent control system and method based on data driving | |
| CN110058577A (en) | Diagnosis control method, system, storage medium and terminal based on control object data correlation | |
| JPH086635A (en) | Plant diagnostic device | |
| CN115929613A (en) | Method, device, system and medium for processing faults of oil transfer pump | |
| CN113251572B (en) | Exhaust sensor fault detection method and device, air conditioner and storage medium | |
| CN114658543B (en) | High-pressure fuel leakage diagnosis method, device and system | |
| CN110955201A (en) | System for automatically detecting and operating soft water supply system and control method | |
| JPH09113673A (en) | Anomaly surveillance method and device for plant | |
| CN112924166B (en) | Overflow valve fault detection method and device, electronic equipment and storage medium | |
| CN117685120B (en) | Fault detection method, device, equipment and medium for common rail system of engine | |
| WO2021220323A1 (en) | State determination device | |
| CN110058578A (en) | Diagnosis control method, system, storage medium and terminal based on control object data procedures |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |