CN114875999A - Pump room operation and maintenance management system for secondary water supply system - Google Patents
Pump room operation and maintenance management system for secondary water supply system Download PDFInfo
- Publication number
- CN114875999A CN114875999A CN202210590933.5A CN202210590933A CN114875999A CN 114875999 A CN114875999 A CN 114875999A CN 202210590933 A CN202210590933 A CN 202210590933A CN 114875999 A CN114875999 A CN 114875999A
- Authority
- CN
- China
- Prior art keywords
- inspection
- diagnosis
- equipment
- rule
- control
- 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
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 33
- 238000012423 maintenance Methods 0.000 title claims abstract description 31
- 238000007689 inspection Methods 0.000 claims abstract description 134
- 238000003745 diagnosis Methods 0.000 claims abstract description 121
- 230000002159 abnormal effect Effects 0.000 claims abstract description 48
- 238000004519 manufacturing process Methods 0.000 claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 230000008439 repair process Effects 0.000 claims abstract description 10
- 230000005856 abnormality Effects 0.000 claims description 47
- 238000007726 management method Methods 0.000 claims description 36
- 230000007613 environmental effect Effects 0.000 claims description 23
- 230000008447 perception Effects 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000004422 calculation algorithm Methods 0.000 description 13
- 238000013480 data collection Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- XXQCMVYBAALAJK-UHFFFAOYSA-N ethyl n-[4-[benzyl(2-phenylethyl)amino]-2-(2-phenylethyl)-1h-imidazo[4,5-c]pyridin-6-yl]carbamate Chemical compound N=1C=2C(N(CCC=3C=CC=CC=3)CC=3C=CC=CC=3)=NC(NC(=O)OCC)=CC=2NC=1CCC1=CC=CC=C1 XXQCMVYBAALAJK-UHFFFAOYSA-N 0.000 description 1
- MKZGVLPHKXXSSG-UHFFFAOYSA-N ethyl n-[4-[benzyl(2-phenylethyl)amino]-2-[4-(trifluoromethyl)phenyl]-1h-imidazo[4,5-c]pyridin-6-yl]carbamate Chemical compound N=1C(NC(=O)OCC)=CC=2NC(C=3C=CC(=CC=3)C(F)(F)F)=NC=2C=1N(CC=1C=CC=CC=1)CCC1=CC=CC=C1 MKZGVLPHKXXSSG-UHFFFAOYSA-N 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B1/00—Methods or layout of installations for water supply
- E03B1/02—Methods or layout of installations for water supply for public or like main supply for industrial use
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03B—INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
- E03B5/00—Use of pumping plants or installations; Layouts thereof
- E03B5/02—Use of pumping plants or installations; Layouts thereof arranged in buildings
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/054—Input/output
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Structural Engineering (AREA)
- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention provides a pump room operation and maintenance management system for a secondary water supply system, which relates to the technical field of pump room information management and comprises the following components: the display and control integrated machine is internally integrated with a programmable logic controller so as to obtain equipment operation data and environment data; the edge calculation module is used for carrying out abnormity diagnosis and automatic on-line inspection on each production device and each environment device according to the device operation data, the environment data and the preset abnormity diagnosis expert library and the device inspection expert library, and calling the preset solution expert library to control the corresponding production device and environment device to execute the corresponding solution so as to correspondingly repair the abnormal diagnosis result or the automatic on-line inspection result when the diagnosis result or the automatic on-line inspection result is abnormal; and the cloud server is used for remotely managing each production device and each environment device through the display and control all-in-one machine. The beneficial effects are that the development, the field deployment and the later maintenance are convenient; the unattended operation and the intelligent operation and maintenance of the pump room are realized.
Description
Technical Field
The invention relates to the technical field of pump room information management, in particular to a pump room operation and maintenance management system for a secondary water supply system.
Background
The secondary water supply system is carried out on the basis of the original water supply network, and secondary pressurization is realized by adopting facilities such as a water supply pump and the like to meet the water supply requirement of a high-rise building. The traditional pump room management system of the secondary water supply system generally uses the following two types of control systems:
one is SCADA (Supervisory Control And Data Acquisition) system. Typically SCADA systems are divided into two levels, namely using a client/server architecture. The server communicates with the hardware device to perform data processing and operation. The client is used for man-machine interaction, such as displaying the state of the site by using characters and animation, and can operate the switch and the valve of the site. There is also an "ultra remote client" that can monitor over the Internet through Web releases. Hardware devices (e.g., PLCs) are typically connected to servers either in a point-to-point manner or in a bus manner. The point-to-point connection is generally realized by a serial port (RS232), and the bus mode can be RS485, Ethernet and other connection modes.
The other is a field bus Control System (FCS) based on a Programmable Logic Controller (PLC), the field bus Control System is a new industrial Control System following the DCS, the original Control System structure is changed, and the analog and digital mixed DCS is updated to be an all-digital field bus Control System. Compared with the prior DCS, the FCS has higher reliability, stronger functions, more flexible structure, stronger field adaptability and more open standards.
But higher requirements are provided for the pump room management system in an emergency scene, such as an epidemic situation scene, for example, as few personnel as possible and as short time as possible are required during system deployment, and as few personnel as possible are required to contact during system operation and maintenance, so that rapid development, deployment and operation and maintenance are realized. However, the above two types of control systems have the following technical problems: the pump room system has more parts and is complex, and rapid deployment and later maintenance are not utilized; delivery is complex and the cycle is long; the use, operation and learning cost is high, and hands are difficult to operate; the pump room informatization scheme is mainly based on monitoring and cannot support on-line inspection or local unattended operation; the pump room informatization is integrated delivery, the implementation is complex, the debugging is difficult, and the delivery cycle is long. It can be seen that the existing pump room management system cannot meet the requirements of rapid development, deployment, operation and maintenance in an emergency situation.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a pump room operation and maintenance management system for a secondary water supply system, wherein a plurality of production devices and a plurality of environmental devices are pre-configured in a pump room of the secondary water supply system, each production device is correspondingly configured with a device perception control module, and each environmental device is correspondingly configured with an environmental perception control module; the pump house operation and maintenance management system comprises:
the display and control integrated machine is integrated with:
the display and control integrated machine is in communication connection with the equipment perception control modules and the environment perception control modules through the programmable logic controller so as to acquire equipment operation data acquired by the equipment perception control modules and environment data acquired by the environment perception control modules;
the edge calculation module is connected with the programmable logic controller and is used for carrying out abnormity diagnosis and automatic on-line inspection on each production device and each environmental device according to the device operation data, the environmental data and a preset abnormity diagnosis expert library and a device inspection expert library, and calling a preset solution expert library to control the corresponding production device and the environmental device to execute a corresponding solution so as to correspondingly repair an abnormal diagnosis result or an automatic on-line inspection result when the diagnosis result or the automatic on-line inspection result is abnormal;
and the cloud server is in communication connection with the display and control all-in-one machine through an industrial internet switch and is used for remotely managing the production equipment and the environment equipment through the display and control all-in-one machine.
Preferably, a plurality of abnormal diagnosis rules are configured in the abnormal diagnosis expert database, and each abnormal diagnosis rule is correspondingly associated with a corresponding secondary water supply application scene; a plurality of equipment inspection rules are configured in the equipment inspection expert database, and each equipment inspection rule is correspondingly associated with the corresponding secondary water supply application scene; a plurality of solutions are configured in the solution expert database, and each solution is correspondingly associated with the corresponding secondary water supply application scene, the diagnosis result and the automatic online inspection result;
the edge calculation module comprises:
the abnormality diagnosis unit is used for correspondingly calling each abnormality diagnosis rule according to each secondary water supply application scene needing to be diagnosed so as to continuously perform abnormality diagnosis on corresponding equipment operation data and the environment data to obtain a diagnosis result;
the first processing unit is connected with the abnormity diagnosis unit and used for correspondingly calling the solution in the solution expert library when the diagnosis result is abnormal and controlling the corresponding production equipment and the corresponding environment equipment to execute the solution so as to repair the abnormal diagnosis result;
the online inspection unit is used for correspondingly calling each equipment inspection rule according to each secondary water supply application scene for carrying out automatic online inspection according to needs so as to regularly carry out automatic online inspection on the corresponding production equipment and the corresponding environmental equipment to obtain an automatic online inspection result;
the second processing unit is respectively connected with the online inspection unit and the abnormality diagnosis unit and is used for controlling the abnormality diagnosis unit to correspondingly call corresponding abnormality diagnosis rules when the automatic online inspection result is abnormal, and performing abnormality diagnosis on the abnormal automatic online inspection result to obtain a diagnosis result;
the first processing unit is further used for correspondingly calling the solutions in the solution expert library according to the diagnosis results corresponding to the automatic online inspection results, and controlling the corresponding production equipment and the corresponding environment equipment to execute the solutions so as to repair the abnormal automatic online inspection results.
Preferably, the edge computing module further includes a passive inspection unit connected to the second processing unit, and is configured to call the corresponding device inspection rule according to the inspection instruction issued by the cloud server, so as to perform online inspection on the corresponding production device and/or the environment device to obtain the automatic online inspection result and upload the automatic online inspection result to the cloud server.
Preferably, the edge calculation module further includes an automatic alarm unit, which is respectively connected to the abnormality diagnosis unit and the online inspection unit, and is configured to generate corresponding alarm information when the diagnosis result is abnormal or the automatic online inspection result is abnormal.
Preferably, each of the abnormal diagnosis rules in the abnormal diagnosis expert database is associated with a corresponding diagnosis rule version number, each of the equipment inspection rules in the equipment inspection expert database is associated with a corresponding inspection rule version number, and each of the solutions in the solution expert database is associated with a corresponding solution version number;
the edge computing module further includes a first rule management unit, configured to periodically obtain and upload the version number of each diagnosis rule, the version number of each inspection rule, and the version number of each scheme to the cloud server.
Preferably, the edge computing module further includes a second rule management unit, configured to receive and obtain, according to a rule self-check instruction issued by the cloud server, and upload, to the cloud server, the version number of each diagnosis rule, the version number of each inspection rule, and the version number of each scheme that correspond to each diagnosis rule.
Preferably, the edge computing module further includes a log generating unit, which is respectively connected to the first rule managing unit and the second rule managing unit, and is configured to record a process of obtaining and uploading each diagnosis rule version number, each inspection rule version number, and each scheme version number each time, and generate a rule self-inspection log correspondingly.
Preferably, the display and control all-in-one machine further comprises a human-computer interaction interface connected with the edge calculation module and used for displaying at least one of the equipment operation data, the environment data, the diagnosis result, the automatic online inspection result and the rule self-inspection log in real time and/or
Receiving a control instruction of a user to control the operation state of each production device and/or each environmental device, and/or
And receiving a configuration instruction of a user to configure parameters of the display and control all-in-one machine.
Preferably, the display and control all-in-one machine provides an expert database configuration port, is respectively connected with the abnormality diagnosis expert database, the solution expert database and the equipment inspection expert database, and is used for receiving a rule database updating instruction sent locally or by the cloud server to update and maintain the rules of the abnormality diagnosis expert database, the solution expert database and the equipment inspection expert database.
Preferably, a plurality of video monitoring devices and a plurality of access control devices are further configured in the pump room, each video monitoring device is correspondingly configured with a video sensing control module, each access control device is correspondingly configured with an access sensing control module, and each video sensing control module and each access sensing control module are respectively in communication connection with the industrial internet switch; the cloud server acquires the video monitoring data of the pump room acquired by the video perception control modules and the access control state of the access control equipment acquired by the access control modules through the industrial internet switch, and remotely manages the video monitoring equipment and the access control equipment.
The technical scheme has the following advantages or beneficial effects:
1) the display and control integrated machine integrated with the programmable logic controller is configured in the pump room, so that high modularization and integration are realized, the equipment can be conveniently connected and installed during system deployment, plug and play are realized, the system cost is reduced and the complexity of the system is reduced while the system is rapidly deployed, and development, field deployment and later maintenance are facilitated;
2) the automatic online inspection and abnormity diagnosis of the pump room equipment can be realized by combining an edge calculation module integrated in the display and control all-in-one machine with an abnormity diagnosis expert library, an equipment inspection expert library and a solution expert library, the pump room equipment can be automatically repaired when the pump room equipment operates abnormally, automatic alarm can be given, unmanned guard and intelligent operation and maintenance of the pump room are realized, the user requirements can be quickly responded, the timeliness is improved, and the management level and the production efficiency are effectively improved;
3) the pump room management state can be visually displayed to a user through a human-computer interaction interface integrated on the display and control all-in-one machine, and meanwhile, the user can conveniently control and configure the pump room equipment in real time, so that the operation is simple and the operation is easy to operate;
4) the requirements under different environments and application scenes can be met, and the universality, stability and reliability of the system are improved.
Drawings
Fig. 1 is a schematic structural diagram of a pump room operation and maintenance management system for a secondary water supply system according to a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In a preferred embodiment of the present invention, based on the above problems in the prior art, a pump room operation and maintenance management system for a secondary water supply system is provided, as shown in fig. 1, a plurality of production devices and a plurality of environment devices are pre-configured in a pump room of the secondary water supply system, each production device is correspondingly configured with a device sensing control module 100, and each environment device is correspondingly configured with an environment sensing control module 200; the pump house operation and maintenance management system comprises:
show accuse all-in-one 1, it has to show to integrate in controlling all-in-one 1:
the display and control integrated machine 1 is in communication connection with the equipment sensing control modules 100 and the environment sensing control modules 200 through the programmable logic controller 11 so as to obtain equipment operation data collected by the equipment sensing control modules and environment data collected by the environment sensing control modules;
the edge calculation module 12 is connected with the programmable logic controller 11 and is used for carrying out abnormity diagnosis and automatic on-line inspection on each production device and each environmental device according to the device operation data, the environmental data, and a preset abnormity diagnosis expert library 13 and a device inspection expert library 14, and calling a preset solution expert library 15 to control the corresponding production device and environmental device to execute a corresponding solution so as to correspondingly repair the abnormal diagnosis result or the automatic on-line inspection result when the diagnosis result or the automatic on-line inspection result is abnormal;
and the cloud server 2 is in communication connection with the display and control all-in-one machine 1 through an industrial internet switch 3 and is used for performing remote management on each production device and each environment device through the display and control all-in-one machine 1.
Specifically, in this embodiment, by modularly integrating the editable logic controller 11 and the edge computing device 12 in the display and control all-in-one machine 1, when the pump room is deployed in the technical scheme, only the display and control all-in-one machine 1 and the industrial internet switch 3 need to be deployed, and then, each production device and each environment device are correspondingly plugged into the display and control all-in-one machine 1. This technical scheme can divide into two-layerly from the logic framework, and wherein, display and control all-in-one 1 is the edge control layer with the industry internet switch 3 of being connected, as the integrated pump house guard of pump house, and high in the clouds server 2 is the cloud service layer, as the high in the clouds pump house manager of pump house, and display and control all-in-one 1 can be through including but not limited to wired, 4G/5G, NB etc. and the application service communication of high in the clouds server 2 deployment, accomplishes industrial production's remote monitoring, management and service.
The edge calculation module 12 may obtain the abnormality diagnosis expert database 13, the equipment inspection expert database 14, and the solution expert database 15 in a preset or remote downloading manner, and perform edge algorithm processing by combining the collected equipment operation data and the environmental data, so as to implement abnormality diagnosis and automatic online inspection of each production equipment and each environmental equipment, provide a solution in response to the abnormality diagnosis or the automatic online inspection abnormality, and further control and execute the corresponding solution, implement self-healing of the abnormality diagnosis and the automatic online inspection, and implement unattended operation and intelligent operation.
More specifically, the abnormality diagnosis expert database 13 is configured with a plurality of abnormality diagnosis rules, and each abnormality diagnosis rule is associated with a corresponding secondary water supply application scenario; a plurality of equipment inspection rules are configured in the equipment inspection expert database 14, and each equipment inspection rule is correspondingly associated with a corresponding secondary water supply application scene; the solution expert database 15 is configured with a plurality of solutions, and each solution is correspondingly associated with a corresponding secondary water supply application scene, a diagnosis result and an automatic online inspection result;
the edge calculation module 12 includes:
the anomaly diagnosis unit 121 is configured to correspondingly invoke each anomaly diagnosis rule according to each secondary water supply application scenario to be diagnosed, so as to continuously perform anomaly diagnosis on corresponding device operation data and environment data to obtain a diagnosis result;
the first processing unit 122, which is connected to the abnormality diagnosing unit 121, is configured to correspondingly invoke a solution in the solution expert library when the diagnosis result is abnormal, and control corresponding production equipment and environment equipment to execute the solution, so as to repair the abnormal diagnosis result;
the online inspection unit 123 is used for calling the inspection rules of the equipment correspondingly according to the secondary water supply application scenes for automatic online inspection according to needs, so as to regularly perform automatic online inspection on corresponding production equipment and environmental equipment to obtain an automatic online inspection result;
the second processing unit 124 is respectively connected with the online inspection unit 123 and the abnormality diagnosis unit 121, and is used for controlling the abnormality diagnosis unit to correspondingly call corresponding abnormality diagnosis rules when the automatic online inspection result is abnormal, and performing abnormality diagnosis on the abnormal automatic online inspection result to obtain a diagnosis result;
the first processing unit 122 is further configured to correspondingly invoke a solution in the solution expert library according to a diagnosis result corresponding to the automatic online inspection result, and control corresponding production equipment and environmental equipment to execute the solution, so as to repair the abnormal automatic online inspection result.
Specifically, in this embodiment, taking an abnormality diagnosis rule as an example, each abnormality diagnosis rule herein may be an abnormality that has occurred in real time, or may be an abnormality warning. For the real-time sent abnormality, the abnormality diagnosis rule may configure a corresponding abnormality condition to give an abnormality diagnosis result when the real-time collected device operation data or environment data meets the abnormality condition, such as an excessive pump room temperature. For the abnormity early warning, the method can be realized based on a corresponding rule script, and the algorithm parameters and the use rules are described by using a Jason language or an XML language. The rule script can further comprise algorithm rules and self-learning rules, wherein the algorithm rules can be understood as that a plurality of general algorithms such as neural network algorithms, clustering algorithms and the like are configured in advance, and then each general algorithm is called and mixed based on different secondary water supply application scenes, including but not limited to direct calling, or the input of one algorithm is used as the output of the other algorithm, or the output results of the two algorithms are comprehensively analyzed, and the like, so that the abnormity early warning is realized. The self-learning rule can be understood as retraining a pre-configured general algorithm based on a series of continuously acquired environment data of the equipment operation data set, and then calling the general algorithm after parameter adjustment based on a training result so as to realize abnormal early warning.
Preferably, based on a secondary water supply application scenario, one abnormality diagnosis rule can be called once, and a plurality of abnormality diagnosis rules can also be called simultaneously, and the abnormality diagnosis can be configured according to actual requirements, so that the abnormality diagnosis in simple and complex scenarios can be met simultaneously. Preferably, the abnormality diagnosis may be understood as daily monitoring of each production facility and each environmental facility, in other words, it may be configured to automatically and continuously perform the abnormality diagnosis when the pump house operation and maintenance management system is running.
It is understood that the specific configuration and calling manner of the device polling rule and the solution are similar to the exception diagnosis rule, and are not described herein again. The automatic online inspection system comprises a plurality of pieces of equipment inspection rules, wherein different pieces of production equipment and environment equipment can be based on different inspection frequencies, and the execution sequence of the equipment inspection rules can be configured in advance when the equipment inspection rules are regularly inspected. When the abnormity identification of the automatic online inspection result is carried out, the independent identification can be carried out based on the result of a single equipment inspection rule, the comprehensive identification analysis can also be carried out based on the results of a plurality of equipment inspection rules, the identification judgment can be carried out based on simple set conditions, the identification judgment can also be carried out based on a big data analysis mode, the adjustment can be carried out according to the scene requirements, and the limitation is not limited here.
The automatic online inspection is mainly aimed at the inspection of the attribute parameters and the operating parameters of the pump room equipment, such as a data acquisition device, and the automatic online inspection is mainly aimed at the inspection of a data acquisition port, a data acquisition rate, a communication state and the like. The abnormal diagnosis rules can be correspondingly divided into two categories, one category is data collected by the sensing equipment, such as pump room temperature collected by a temperature sensor, the other category is data collected by the sensing equipment, such as the data collection port, the data collection rate, the communication state and the like, when the automatic online inspection result is abnormal, the corresponding abnormal diagnosis rules can be called to carry out abnormal diagnosis based on abnormal items, so that the abnormal reason can be determined, and the corresponding solution scheme can be matched.
In a preferred embodiment of the present invention, the edge computing module 12 further includes a passive inspection unit 125, connected to the second processing unit 124, and configured to invoke a corresponding device inspection rule according to the inspection instruction issued by the cloud server, so as to perform online inspection on corresponding production devices and/or environmental devices to obtain an automatic online inspection result, and upload the automatic online inspection result to the cloud server.
Specifically, in the present embodiment, the automatic online inspection supports active regular online inspection and passive online inspection, so as to meet different use requirements.
In a preferred embodiment of the present invention, the edge calculating module 12 further includes an automatic alarm unit 126, which is respectively connected to the abnormality diagnosing unit 121 and the online inspecting unit 123, and is configured to generate corresponding alarm information when the diagnosis result is abnormal or the automatic online inspecting result is abnormal.
Specifically, in this embodiment, the alarm information may be uploaded to the cloud server 2, or may be sent to a corresponding pump room manager, so as to implement remote real-time monitoring.
In a preferred embodiment of the present invention, each abnormal diagnosis rule in the abnormal diagnosis expert database 13 is associated with a corresponding diagnosis rule version number, each equipment inspection rule in the equipment inspection expert database 14 is associated with a corresponding inspection rule version number, and each solution in the solution expert database 15 is associated with a corresponding scheme version number;
the edge computing module 12 further includes a first rule management unit 127 for periodically obtaining and uploading the version numbers of the diagnosis rules, the version numbers of the inspection rules, and the version numbers of the schemes to the cloud server.
Specifically, in this embodiment, the cloud server is configured with latest diagnosis rule version numbers, inspection rule version numbers, and version numbers of each version, and after receiving the uploaded diagnosis rule version numbers, inspection rule version numbers, and version numbers of each version, the cloud server can compare the latest version numbers with the latest version numbers, and when there is inconsistency, update the rules in the display and control all-in-one machine by actively issuing the corresponding latest rule version, so as to ensure consistency between the local area and the cloud, and further ensure the realizability of remote call control.
In a preferred embodiment of the present invention, the edge computing module 12 further includes a second rule management unit 128, configured to receive and obtain, according to the rule self-check instruction issued by the cloud server, and upload, to the cloud server, the version number of each diagnosis rule, the version number of each inspection rule, and the version numbers of each scheme corresponding thereto.
In a preferred embodiment of the present invention, the edge computing module 12 further includes a log generating unit 129, respectively connected to the first rule managing unit 127 and the second rule managing unit 128, for recording a process of acquiring and uploading each diagnosis rule version number, each inspection rule version number, and each scheme version number each time, and correspondingly generating a rule self-check log.
In a preferred embodiment of the present invention, the display and control integrated machine 1 further comprises a human-computer interface 16 connected to the edge computing module 12 for displaying at least one of the operation data, the environmental data, the diagnosis result, the automatic on-line inspection result and the rule self-checking log of the device in real time, and/or
Receiving control instructions of users to control the operation state of each production equipment and/or each environment equipment, and/or
And receiving a configuration instruction of a user to perform parameter configuration on the display and control all-in-one machine.
In a preferred embodiment of the present invention, the display and control integrated machine 1 provides an expert database configuration port 17, which is respectively connected to the abnormality diagnosis expert database 13, the solution expert database 15, and the equipment inspection expert database 14, and is configured to receive a rule database update instruction issued by the local or cloud server 2 to perform rule update maintenance on the abnormality diagnosis expert database 13, the solution expert database 15, and the equipment inspection expert database 14.
In a preferred embodiment of the invention, a plurality of video monitoring devices and a plurality of access control devices are also arranged in the pump room, each video monitoring device is correspondingly provided with a video perception control module 300, each access control device is correspondingly provided with an access perception control module 400, and each video perception control module 300 and each access perception control module 400 are respectively in communication connection with the industrial internet switch 3;
the cloud server 2 acquires the video monitoring data of the pump room acquired by each video sensing control module 300 and the access control state of the access control device acquired by each access control sensing control module 400 through the industrial internet switch 3, and performs remote management on each video monitoring device and each access control device.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A pump room operation and maintenance management system for a secondary water supply system is characterized in that a plurality of production devices and a plurality of environment devices are pre-configured in a pump room of the secondary water supply system, each production device is correspondingly configured with a device perception control module, and each environment device is correspondingly configured with an environment perception control module; the pump house operation and maintenance management system comprises:
the display and control integrated machine is integrated with:
the display and control integrated machine is in communication connection with the equipment perception control modules and the environment perception control modules through the programmable logic controller so as to acquire equipment operation data acquired by the equipment perception control modules and environment data acquired by the environment perception control modules;
the edge calculation module is connected with the programmable logic controller and is used for carrying out abnormity diagnosis and automatic on-line inspection on each production device and each environmental device according to the device operation data, the environmental data and a preset abnormity diagnosis expert library and a device inspection expert library, and calling a preset solution expert library to control the corresponding production device and the environmental device to execute a corresponding solution so as to correspondingly repair an abnormal diagnosis result or an automatic on-line inspection result when the diagnosis result or the automatic on-line inspection result is abnormal;
and the cloud server is in communication connection with the display and control all-in-one machine through an industrial internet switch and is used for remotely managing the production equipment and the environment equipment through the display and control all-in-one machine.
2. The pump room operation and maintenance management system according to claim 1, wherein a plurality of abnormal diagnosis rules are configured in the abnormal diagnosis expert database, and each abnormal diagnosis rule is associated with a corresponding secondary water supply application scenario; a plurality of equipment inspection rules are configured in the equipment inspection expert database, and each equipment inspection rule is correspondingly associated with the corresponding secondary water supply application scene; a plurality of solutions are configured in the solution expert database, and each solution is correspondingly associated with the corresponding secondary water supply application scene and the diagnosis result;
the edge calculation module comprises:
the abnormality diagnosis unit is used for correspondingly calling each abnormality diagnosis rule according to each secondary water supply application scene needing to be diagnosed so as to continuously perform abnormality diagnosis on corresponding equipment operation data and the environment data to obtain a diagnosis result;
the first processing unit is connected with the abnormity diagnosis unit and used for correspondingly calling the solution in the solution expert library when the diagnosis result is abnormal and controlling the corresponding production equipment and the corresponding environment equipment to execute the solution so as to repair the abnormal diagnosis result;
the online inspection unit is used for correspondingly calling each equipment inspection rule according to each secondary water supply application scene for automatic online inspection according to needs so as to regularly carry out automatic online inspection on the corresponding production equipment and the corresponding environmental equipment to obtain an automatic online inspection result;
the second processing unit is respectively connected with the online inspection unit and the abnormity diagnosis unit and is used for controlling the abnormity diagnosis unit to correspondingly call corresponding abnormity diagnosis rules when the online inspection result is abnormal, and carrying out abnormity diagnosis on the abnormal online inspection result to obtain the diagnosis result;
the first processing unit is further used for correspondingly calling the solutions in the solution expert library according to the diagnosis results corresponding to the automatic online inspection results, and controlling the corresponding production equipment and the corresponding environment equipment to execute the solutions so as to repair the abnormal automatic online inspection results.
3. The pump house operation and maintenance management system according to claim 2, wherein the edge computing module further comprises a passive inspection unit connected to the second processing unit, and configured to call the corresponding equipment inspection rule according to the inspection instruction issued by the cloud server, so as to perform online inspection on the corresponding production equipment and/or the environment equipment to obtain the automatic online inspection result, and upload the automatic online inspection result to the cloud server.
4. The pump room operation and maintenance management system according to claim 2, wherein the edge calculation module further comprises an automatic alarm unit, which is respectively connected to the abnormality diagnosis unit and the online inspection unit, and configured to generate corresponding alarm information when the diagnosis result is abnormal or the automatic online inspection result is abnormal.
5. The pump room operation and maintenance management system according to claim 2, wherein each abnormal diagnosis rule in the abnormal diagnosis expert base is associated with a corresponding diagnosis rule version number, each equipment inspection rule in the equipment inspection expert base is associated with a corresponding inspection rule version number, and each solution in the solution expert base is associated with a corresponding solution version number;
the edge computing module further includes a first rule management unit, configured to periodically obtain and upload the version number of each diagnosis rule, the version number of each inspection rule, and the version number of each scheme to the cloud server.
6. The pump room operation and maintenance management system according to claim 5, wherein the edge calculation module further comprises a second rule management unit, which is configured to receive and obtain a rule self-check instruction sent by the cloud server, and upload a version number of each diagnosis rule, a version number of each routing inspection rule, and a version number of each scheme to the cloud server.
7. The pump room operation and maintenance management system according to claim 6, wherein the edge calculation module further includes a log generation unit, which is respectively connected to the first rule management unit and the second rule management unit, and configured to record a process of obtaining and uploading each diagnosis rule version number, each inspection rule version number, and each scheme version number each time, and generate a rule self-check log correspondingly.
8. The pump house operation and maintenance management system according to claim 7, wherein the display and control all-in-one machine further comprises a human-computer interaction interface connected with an edge calculation module for displaying at least one of the equipment operation data, the environment data, the diagnosis result, the automatic online inspection result and the rule self-inspection log in real time, and/or
Receiving a control instruction of a user to control the operation state of each production device and/or each environmental device, and/or
And receiving a configuration instruction of a user to perform parameter configuration on the display and control all-in-one machine.
9. The pump room operation and maintenance management system according to claim 1, wherein the display and control all-in-one machine provides an expert database configuration port, is respectively connected with the abnormality diagnosis expert database, the solution expert database and the equipment inspection expert database, and is configured to receive a rule database update instruction issued locally or by the cloud server to perform rule update and maintenance on the abnormality diagnosis expert database, the solution expert database and the equipment inspection expert database.
10. The pump room operation and maintenance management system according to claim 1, wherein a plurality of video monitoring devices and a plurality of access control devices are further configured in the pump room, each video monitoring device is correspondingly configured with a video sensing control module, each access control device is correspondingly configured with an access sensing control module, and each video sensing control module and each access sensing control module are respectively in communication connection with the industrial internet switch;
the cloud server acquires the video monitoring data of the pump room acquired by the video perception control modules and the access control state of the access control equipment acquired by the access control modules through the industrial internet switch, and remotely manages the video monitoring equipment and the access control equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210590933.5A CN114875999B (en) | 2022-05-27 | 2022-05-27 | Pump room operation and maintenance management system for secondary water supply system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210590933.5A CN114875999B (en) | 2022-05-27 | 2022-05-27 | Pump room operation and maintenance management system for secondary water supply system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114875999A true CN114875999A (en) | 2022-08-09 |
| CN114875999B CN114875999B (en) | 2023-11-21 |
Family
ID=82677287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210590933.5A Active CN114875999B (en) | 2022-05-27 | 2022-05-27 | Pump room operation and maintenance management system for secondary water supply system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114875999B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115174641A (en) * | 2022-09-08 | 2022-10-11 | 小白智能科技（长春）股份有限公司 | Internet of things management system and method for monitoring enterprise security system all time |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104635691A (en) * | 2014-12-31 | 2015-05-20 | 北京清大国华环保科技有限公司 | Cloud service system for data acquisition and analysis |
| CN104732276A (en) * | 2015-03-18 | 2015-06-24 | 国家电网公司 | On-line diagnosing method for faults of metering production facility |
| CN106338973A (en) * | 2016-08-11 | 2017-01-18 | 塞壬智能科技（北京）有限公司 | Expert diagnosis service system |
| CN108181870A (en) * | 2017-12-27 | 2018-06-19 | 上海熊猫机械(集团)有限公司 | A kind of long-range cruising inspection system of pump house and method |
| CN207557743U (en) * | 2017-12-22 | 2018-06-29 | 武汉市水务建设工程有限公司 | A kind of secondary water-supply intelligent control box |
| KR20180003552U (en) * | 2017-06-09 | 2018-12-19 | 한국전력공사 | Apparatus for dynamic monitoring underground-intralled electric power equipment |
| CN109544724A (en) * | 2019-02-22 | 2019-03-29 | 新誉轨道交通科技有限公司 | A kind of intelligent blower cruising inspection system and its working method |
| CN109857020A (en) * | 2019-01-29 | 2019-06-07 | 宜春万申制药机械有限公司 | Novel maintenance management system |
| CN110687865A (en) * | 2019-10-21 | 2020-01-14 | 福建锋冠科技有限公司 | Wisdom water utilities management platform |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
| CN111160804A (en) * | 2019-12-31 | 2020-05-15 | 精英数智科技股份有限公司 | Mining equipment management method, device and system based on Internet of things |
| CN111158328A (en) * | 2020-01-14 | 2020-05-15 | 南京粒聚智能科技有限公司 | Equipment operation and maintenance system based on industrial Internet of things |
| CN111404989A (en) * | 2020-02-13 | 2020-07-10 | 马瑞 | Intelligent monitoring, early warning and emergency maintenance guiding system for distribution cable based on Internet of things |
| CN113177707A (en) * | 2021-04-25 | 2021-07-27 | 浙江浙石油综合能源销售有限公司 | Intelligent system for comprehensive energy supply service station and inspection method |
| US20210271582A1 (en) * | 2018-06-28 | 2021-09-02 | Zte Corporation | Operation and maintenance system and method |
| CN113689013A (en) * | 2021-08-27 | 2021-11-23 | 国网新疆电力有限公司吐鲁番供电公司 | Intelligent monitoring and operation and maintenance system for transformer |
| KR20220014086A (en) * | 2020-07-28 | 2022-02-04 | 한국전자통신연구원 | Method and Apparatus for Intelligent Operation Management of Infrastructure |
| CN114124953A (en) * | 2021-11-08 | 2022-03-01 | 深圳供电局有限公司 | Power communication wisdom computer lab fortune dimension management and control system |
| WO2022095616A1 (en) * | 2020-11-03 | 2022-05-12 | 国网智能科技股份有限公司 | On-line intelligent inspection system and method for transformer substation |
-
2022
- 2022-05-27 CN CN202210590933.5A patent/CN114875999B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104635691A (en) * | 2014-12-31 | 2015-05-20 | 北京清大国华环保科技有限公司 | Cloud service system for data acquisition and analysis |
| CN104732276A (en) * | 2015-03-18 | 2015-06-24 | 国家电网公司 | On-line diagnosing method for faults of metering production facility |
| CN106338973A (en) * | 2016-08-11 | 2017-01-18 | 塞壬智能科技（北京）有限公司 | Expert diagnosis service system |
| KR20180003552U (en) * | 2017-06-09 | 2018-12-19 | 한국전력공사 | Apparatus for dynamic monitoring underground-intralled electric power equipment |
| CN207557743U (en) * | 2017-12-22 | 2018-06-29 | 武汉市水务建设工程有限公司 | A kind of secondary water-supply intelligent control box |
| CN108181870A (en) * | 2017-12-27 | 2018-06-19 | 上海熊猫机械(集团)有限公司 | A kind of long-range cruising inspection system of pump house and method |
| US20210271582A1 (en) * | 2018-06-28 | 2021-09-02 | Zte Corporation | Operation and maintenance system and method |
| CN109857020A (en) * | 2019-01-29 | 2019-06-07 | 宜春万申制药机械有限公司 | Novel maintenance management system |
| CN109544724A (en) * | 2019-02-22 | 2019-03-29 | 新誉轨道交通科技有限公司 | A kind of intelligent blower cruising inspection system and its working method |
| CN110687865A (en) * | 2019-10-21 | 2020-01-14 | 福建锋冠科技有限公司 | Wisdom water utilities management platform |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
| CN111160804A (en) * | 2019-12-31 | 2020-05-15 | 精英数智科技股份有限公司 | Mining equipment management method, device and system based on Internet of things |
| CN111158328A (en) * | 2020-01-14 | 2020-05-15 | 南京粒聚智能科技有限公司 | Equipment operation and maintenance system based on industrial Internet of things |
| CN111404989A (en) * | 2020-02-13 | 2020-07-10 | 马瑞 | Intelligent monitoring, early warning and emergency maintenance guiding system for distribution cable based on Internet of things |
| KR20220014086A (en) * | 2020-07-28 | 2022-02-04 | 한국전자통신연구원 | Method and Apparatus for Intelligent Operation Management of Infrastructure |
| WO2022095616A1 (en) * | 2020-11-03 | 2022-05-12 | 国网智能科技股份有限公司 | On-line intelligent inspection system and method for transformer substation |
| CN113177707A (en) * | 2021-04-25 | 2021-07-27 | 浙江浙石油综合能源销售有限公司 | Intelligent system for comprehensive energy supply service station and inspection method |
| CN113689013A (en) * | 2021-08-27 | 2021-11-23 | 国网新疆电力有限公司吐鲁番供电公司 | Intelligent monitoring and operation and maintenance system for transformer |
| CN114124953A (en) * | 2021-11-08 | 2022-03-01 | 深圳供电局有限公司 | Power communication wisdom computer lab fortune dimension management and control system |
Non-Patent Citations (6)
| Title |
|---|
| 何永勇;卢文秀;褚福磊;: "发电机组状态巡检与故障诊断系统的研究与实现", 振动、测试与诊断, no. 04 * |
| 宿波;陈刚;范明;王洪俭;盛鹏飞;: "变电站远程综合巡检模式的探索与实践", 中国电业(技术版), no. 12 * |
| 张晔明;罗贤伟;蒋怀德;: "基于函数模型的水务智慧建模与应用", 净水技术, no. 2 * |
| 朱正;: "引领安装企业转型升级 打造绿色机电设施服务商", 安装, no. 08 * |
| 李玉琳;吴光军;檀晨;魏方方;: "物业小区泵站监控管云服务平台", 数码设计, no. 02 * |
| 邵志一;韩军;宋海华;: "电力线路巡检系统信息分析软件的设计与实现", 电网技术, no. 12 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115174641A (en) * | 2022-09-08 | 2022-10-11 | 小白智能科技（长春）股份有限公司 | Internet of things management system and method for monitoring enterprise security system all time |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114875999B (en) | 2023-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102520717B (en) | Data presentation system for abnormal situation prevention in a process plant | |
| CN104142663B (en) | Industrial equipment and system in cloud platform are proved | |
| US9898001B2 (en) | Systems and methods for enhancing monitoring of an industrial automation system | |
| CN1926489B (en) | Data presentation system for abnormal situation prevention in a process plant | |
| KR102073912B1 (en) | Method and system for diagnostic rules for heavy duty gas turbines | |
| CN110430128B (en) | Edge computing gateway | |
| EP1808768A2 (en) | Automatic remote monitoring and diagnostics system and communication method for communicating between a programmable logic controller and a central unit | |
| WO2008045190A2 (en) | Method and system for detecting faults in a process plant | |
| CA2594697A1 (en) | Real-time synchronized control and simulation within a process plant | |
| CN112527613A (en) | Equipment fault maintenance method and device based on cloud edge cooperation | |
| CN114911206A (en) | Intelligent prediction maintenance system of coal preparation plant based on Internet of things | |
| Ali et al. | Middleware for real-time event detection andpredictive analytics in smart manufacturing | |
| CN115562144A (en) | Major hazard source safety monitoring and early warning management system based on 5G technology | |
| CN114875999A (en) | Pump room operation and maintenance management system for secondary water supply system | |
| CN113508349B (en) | 360 ° assistance for QCS gantry with mixed reality and machine learning techniques | |
| CN115640698A (en) | Fault early warning system for hydropower station operation equipment | |
| CN109101398A (en) | AOI wire body monitoring method and system | |
| TWI438593B (en) | System and method for remotely monitoring the scene of industry | |
| CN112910944A (en) | Safety network structure for integrating visual digital factory technology in decentralized control system | |
| CN116506278A (en) | Abnormal monitoring platform based on zabbix | |
| CN115118578A (en) | SCADA system based on WEB | |
| JP2002073158A (en) | Remote monitoring/diagnosing system | |
| CN113485266B (en) | Nuclear power plant BOP process comprehensive control system and method | |
| CN113536439A (en) | Management platform with comprehensive intelligent operation and maintenance | |
| Robert et al. | The importance of PLC in the predictive maintenance of electronic equipment |
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 |