CN211830831U - Data processing system of water supply equipment - Google Patents
Data processing system of water supply equipment Download PDFInfo
- Publication number
- CN211830831U CN211830831U CN202020597880.6U CN202020597880U CN211830831U CN 211830831 U CN211830831 U CN 211830831U CN 202020597880 U CN202020597880 U CN 202020597880U CN 211830831 U CN211830831 U CN 211830831U
- Authority
- CN
- China
- Prior art keywords
- water supply
- data
- server
- information
- supply devices
- 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.)
- Active
Links
Images
Landscapes
- Telephonic Communication Services (AREA)
Abstract
The embodiment of the application provides a data processing system of water supply equipment, the system includes: the system comprises N water supply devices, a first server, an industrial router and a server cluster, wherein at least 2 devices in the N water supply devices have different data transmission protocols, the N water supply devices are connected with the first server, the first server is connected with the industrial router, and the industrial router is connected with the server cluster, wherein the first server is used for receiving data of the N water supply devices and sending the data of the N water supply devices to the industrial router; the industrial router is used for receiving the data of the water supply equipment sent by the first server and sending the data of the water supply equipment to the server cluster; the server cluster is used for storing the data of the water supply equipment, and the convenience in communication between the server and the water supply equipment can be improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a data processing system of water supply equipment.
Background
The common secondary pump house monitoring system can only adopt a local area network optical fiber access mode for each district governed by a water department, and is constructed in a network under the same route with a water department server network, the monitoring communication mode is a TCP full-uplink and multi-concurrency mode, the network bandwidth is very occupied, the construction cost and the use cost are very high, the construction cost of the water department server is also very high, the brand, the model and the working mode of secondary supercharging facilities installed in different areas are not unified, even if the brand and the signal of the facilities are the same, the new and old equipment communication protocols are not unified, when the equipment is communicated and managed, various different protocols are required to be adopted for communication, and the convenience in communication is low.
SUMMERY OF THE UTILITY MODEL
The embodiment of the application provides a data processing system of water supply equipment, can promote the convenience when communicating between server and the water supply equipment.
A first aspect of an embodiment of the present application provides a data processing system of a water supply apparatus, the system including: the system comprises N water supply devices, a first server, an industrial router and a server cluster, wherein at least 2 devices in the N water supply devices have different data transmission protocols, the N water supply devices are connected with the first server, the first server is connected with the industrial router, the industrial router is connected with the server cluster, wherein,
the first server is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router;
the industrial router is used for receiving the data of the water supply equipment sent by the first server and sending the data of the water supply equipment to the server cluster;
the server cluster is used for storing the data of the water supply equipment.
With reference to the first aspect, in one possible implementation manner, the first server includes an RS485 server.
With reference to the first aspect, in one possible implementation manner, the system further includes: the first switch is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router.
With reference to the first aspect, in a possible implementation manner, the server cluster is further configured to:
classifying the data of the N water supply devices to obtain a target category corresponding to the data of each of the N water supply devices;
and storing the data of the N water supply devices into a target database, wherein the target database is a database corresponding to the target category.
With reference to the first aspect, in a possible implementation manner, the server cluster is further configured to:
receiving a data access request sent by terminal equipment, wherein the data access request carries an access identifier;
determining target data according to the access identifier;
and sending the target data to the terminal equipment.
With reference to the first aspect, in one possible implementation manner, the first server receives data of the N water supply devices through at least one of: RS232 protocol, RS485 protocol and TCP/IP protocol.
With reference to the first aspect, in one possible implementation manner, the N water supply devices are connected to the first server through an optical fiber or an industrial network.
With reference to the first aspect, in one possible implementation manner, the industrial router is connected to the server cluster through an HTTP service.
With reference to the first aspect, in one possible implementation manner, the industrial router includes a dedicated network-wide router.
With reference to the first aspect, in one possible implementation manner, the industrial router is further configured to: and carrying out data transmission with the server cluster by adopting a protocol corresponding to the N water supply devices.
The embodiment of the application has at least the following beneficial effects:
in the embodiment of the application, the system comprises N water supply devices, a first server, an industrial router and a server cluster, wherein at least 2 devices in the N water supply devices have different data transmission protocols, the N water supply devices are connected with the first server, the first server is connected with the industrial router, and the industrial router is connected with the server cluster, wherein the first server is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router, the industrial router is used for receiving the data of the water supply devices sent by the first server and sending the data of the water supply devices to the server cluster, and the server cluster is used for storing the data of the water supply devices, so that when the server cluster obtains the data of the water supply devices with different data transmission protocols, the data of the water supply equipment can be acquired through the first server, the data of the water supply equipment can be acquired without adopting a mode of communicating with the water supply equipment by adopting multiple communication protocols, and convenience in acquiring the data of the water supply equipment by the server cluster is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a data processing system of a water supply facility according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a data transmission method according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in N embodiments of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic diagram of a data processing system of a water supply device according to an embodiment of the present disclosure. As shown in fig. 1, the data processing system of the water supply equipment comprises N water supply equipment 110, a first server 120, an industrial router 130 and a server cluster 140, wherein the data transmission protocols of at least 2 of the N water supply equipment 110 are different, the N water supply equipment 110 is connected with the first server 120, the first server 120 is connected with the industrial router 130, the industrial router 130 is connected with the server cluster 140, wherein,
the first server 120 is configured to receive the data of the N water supply devices 110 and send the data of the N water supply devices 110 to the industrial router 130;
the industrial router 130 is configured to receive the data of the water supply device 110 sent by the first server 120, and send the data of the water supply device 110 to the server cluster 140;
the server cluster 140 is configured to store data of the water supply device 110.
The water supply device 110 may be, for example, a device that can be used for supplying water at a pump room end, and specifically, may be, for example, a water pump, a supercharger, a water replenishing tank, a terminal pressure device, a secondary pressure device, or the like.
The data of the water supply facility may be, for example, operation data of the water supply facility, and the operation data of the pressure boosting facility itself, for example, temperature, airtightness, or the like, or data of operation, for example, water pressure, or the like. Taking the water replenishing tank as an example, the operation data may be, for example, a water level of the tank, a pressure of the tank, and the like.
The server cluster can comprise an application server, an HLS file server, a database server, a Web server and an RTMP server, and can store the data of the water supply equipment.
The water supply equipment can be equipment in different pump rooms, the equipment of each pump room is in the lower-level network of the industrial router, all the equipment are independent sub-network systems for the server at the moment, and the possibility that one pump room network abnormity occurs in the access server network of the special optical fiber to cause all the pump room networks to be paralyzed does not occur.
Because the data transmission protocols of at least 2 devices in the N water supply devices are different, the water supply devices can be the combination of a customized industrial router, an RS485 server and a switch, and the access of all pump room devices or other industrial devices which are known in the market and may be increased in the future is ensured.
In one possible implementation, the first server includes an RS485 server. Optionally, the RS485 server includes 4 anti-interference designs, specifically includes: ESD, TVS, optical isolation, dc.dc isolation.
In one possible implementation, the system further includes: the first switch is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router.
The first switch may be a gigabit switch, and the switch may also be connected to other devices or systems in the pump room to obtain relevant data in the pump room. For example, an access control system, a camera, a water intrusion alarm system, a temperature and humidity monitoring system and the like in the pump room are connected to acquire corresponding data, specifically, the camera can acquire an external working state and the like of the water supply equipment, and the temperature and humidity monitoring system can acquire temperature and humidity of the pump room and the like. When the first switch is connected with other devices or systems, the communication mode adopted by the first switch can be a mode of a TCP/IP protocol and the like.
In one possible implementation, the server cluster is further configured to:
classifying the data of the N water supply devices to obtain a target category corresponding to the data of each of the N water supply devices;
and storing the data of the N water supply devices into a target database, wherein the target database is a database corresponding to the target category.
The target database may be a database in a server in a cluster of servers. The method of classifying the data of the water supply equipment may be: such as grouping own operational parameters into one class, grouping parameters related to water supply into one class, etc. The data are classified into corresponding databases or file server systems, so that data classification and decentralized management are realized, and the security of data storage is improved.
In one possible implementation, the server cluster is further configured to:
receiving a data access request sent by terminal equipment, wherein the data access request carries an access identifier;
determining target data according to the access identifier;
and sending the target data to the terminal equipment.
The terminal device may be, for example, a PC, a PAD, or a mobile phone, and the terminal device includes application software, and the application software may initiate a data access request to the server cluster to obtain data of the water supply device. Specifically, the target data may be data of the water supply facility. The access identifier may be, for example, a device identifier of the water supply device, or the like.
The server cluster can obtain target data according to the access identification query, and the data of the water supply equipment are stored in the server cluster.
All the devices in the terminal access the data of the water supply device in a non-direct connection Web mode, and the data are accessed through the Web server, so that the safety of the server and the data is further improved.
In one possible implementation, the first server receives the data of the N water supply apparatuses by at least one of: RS232 protocol, RS485 protocol and TCP/IP protocol. In particular, the communication between the first server and the N water supply apparatuses may be performed using the protocol as described above.
In one possible implementation, the N water supply apparatuses are connected to the first server through an optical fiber or an industrial network.
In one possible implementation, the industrial router is connected to the server cluster through an HTTP service.
In one possible implementation, the industrial router comprises a dedicated network-wide router. The network-wide router may be, for example, an operating mode using dual 4G network access and an access mode supporting both dedicated optical fiber and ordinary optical fiber.
In one possible implementation, the industrial router is further configured to: and carrying out data transmission with the server cluster by adopting a protocol corresponding to the N water supply devices. Specifically, the method can be understood as that the industrial router acquires a data transmission protocol corresponding to the water supply equipment, and then sends the data of the water supply equipment to the server cluster by using the protocol.
In one possible embodiment, as shown in fig. 2, the present application provides a flow chart of a data transmission method, the data transmission method is applied to a data processing system of a water supply device, the system includes: the data transmission method comprises the following steps that N water supply devices, a first server, an industrial router and a server cluster are adopted, data transmission protocols of at least 2 devices in the N water supply devices are different, the N water supply devices are connected with the first server, the first server is connected with the industrial router, the industrial router is connected with the server cluster, and the data transmission method comprises the following steps that step 201 and step 203:
201. the first server receives the data of the N water supply devices and sends the data of the N water supply devices to the industrial router;
202. the industrial router receives the data of the water supply equipment sent by the first server and sends the data of the water supply equipment to the server cluster;
203. the server cluster stores data of the water supply equipment.
In one possible implementation, the first server includes an RS485 server.
In one possible implementation, the system further includes: the first switch receives the data of the N water supply devices and sends the data of the N water supply devices to the industrial router.
In one possible implementation, the server cluster classifies the data of the N water supply devices to obtain a target class corresponding to the data of each of the N water supply devices;
and storing the data of the N water supply devices into a target database, wherein the target database is a database corresponding to the target category.
In one possible implementation, the server cluster may further have the following method:
receiving a data access request sent by terminal equipment, wherein the data access request carries an access identifier;
determining target data according to the access identifier;
and sending the target data to the terminal equipment.
In one possible implementation, the first server receives the data of the N water supply apparatuses by at least one of: RS232 protocol, RS485 protocol and TCP/IP protocol.
In one possible implementation, the N water supply apparatuses are connected to the first server through an optical fiber or an industrial network.
In one possible implementation, the industrial router is connected to the server cluster through an HTTP service.
In one possible implementation, the industrial router comprises a dedicated network-wide router.
In one possible implementation manner, the industrial router further performs data transmission with the server cluster by using protocols corresponding to the N water supply devices.
In a possible embodiment, the system may further have a music recommendation function, after determining music, the music is sent to an electronic device (e.g., a mobile phone, etc.) of a target user, and a music recommendation may be recommended when the user is fatigued, where a possible music recommendation method includes steps a1-a5, as follows:
a1, the Internet of things equipment acquires feature data of a target image, and acquires expression information of a target user according to the feature data, wherein the target image is an image comprising the target user;
a2, the Internet of things equipment acquires action information of a target user;
a3, determining a mood parameter set of a target user by the Internet of things equipment according to the action information;
a4, determining target music corresponding to a target user by the Internet of things equipment according to the mood parameters;
a5, the Internet of things equipment acquires the target music through the wireless network and plays the target music.
The method for determining the expression information according to the feature data may be: determining an expression according to the outline information; and determining the expression information of the target user according to the expression information of the expression. Specifically, reference may be made to the method for determining an expression in the foregoing embodiments, and details are not repeated here.
The action information may be expression information, the expression information may include facial expression information, eye expression information, mouth expression information, and the like, and when determining the mood parameter set, the mood parameter set may be determined by the facial expression information, the eye expression information, the mouth expression information, and the like.
And determining music corresponding to the mood parameters in the preset music set as music corresponding to the target user. Wherein, different mood parameters correspond to different music, and the corresponding relationship is set by experience values or historical data. The preset music collection may be a stored music collection or a music collection acquired from a network.
In the example, a first music set is determined according to the body motion amplitude information of the target user, a first mood parameter set is determined according to the body motion information, a second mood parameter set is determined according to the expression information, music corresponding to the target user is determined from the first music set according to the target mood parameters determined by the first mood parameter set and the second mood parameter set, the music corresponding to the target user can be determined by determining the mood parameters according to the motion information, and the accuracy of music determination is improved.
In a possible embodiment, the action information includes eye expression information, facial expression information, and mouth expression information, and a possible method for determining a mood parameter set of the target user according to the action information includes steps B1-B7, as follows:
b1, the Internet of things equipment determines first state information of a target user according to the eye expression information, determines second state information of the target user according to the facial expression information, and determines third state information of the target user according to the mouth expression information;
b2, the Internet of things equipment determines first reference state information of the target user according to the first state information, the second state information and the third state information;
b3, the Internet of things equipment acquires event information of the target user in a preset time period, wherein the event information is information of an event processed by the target user;
b4, determining environment information of the target user in a preset time period according to the event information by the Internet of things equipment, wherein the environment information comprises associated user information, and the associated user information is information of a user interacting with the target user;
b5, determining second reference state information of the target user by the Internet of things equipment according to the associated user information and the event information;
b6, the Internet of things equipment determines target state information of the target user according to the first reference state information and the second reference state information;
b7, the Internet of things equipment determines a mood parameter set according to the mapping relation between the target state information and the mood parameters.
The first state information, the second state information and the third state information can be understood as the psychological state information of the target user, the state information can be represented through state information values, different expression information of the user can reflect different psychological state information, the psychological state information can be understood as the complexity of mood, the higher the value of the psychological state information is, the more complex the mood of the user is, the lower the value of the psychological state information is, the more calm the mood of the user is, the calm the mood can be understood as no mood fluctuation of the user, the more complicated the mood can be understood as no mood fluctuation of the user, and the mood fluctuation can be understood as clear change.
And determining the average value of the state information values corresponding to the first state information, the second state information and the third state information as first reference state information.
The event information of the target user in the preset time period can be obtained by obtaining a trip list of the target user from the terminal equipment and determining the event information according to the trip list. The environment information may be understood as information of an environment where the target user is located when the event is processed, and the environment information includes associated user information, and the associated user is information of a user who has interaction with the target user. For example, if the target user's event is a speech, then the associated user may be a person who raised a question when the target was used for the speech.
When determining the second reference state information according to the associated user information and the event information, the method may specifically be: the associated user information may include interaction information of the associated user and the target user, and the second reference state information may be determined according to the interaction information and the event information, the interaction information including session information. Determining a range of the second reference state information according to the event information; extracting keywords from the interactive information to obtain target keywords; and determining the second reference state information from the range of the second reference state information according to the target keyword. The keywords may be, for example, mood-related words, e.g., good, bad, unintelligible, ok, and so on. Second reference state information corresponding to the target keyword can be determined according to the mapping relation between the keyword and the reference state information, and the reference state information can be represented by a reference state information value.
The average of the first reference state information value and the second reference state information value may be used as a target state information value, and the target state information value is used to represent the target state information.
The mapping relation between the target state information and the mood parameters is set through empirical values or historical data.
In this example, the first reference state information of the target user is determined through the eye expression information, the facial expression information and the mouth expression information, the second reference state information is determined according to the associated user and the event information, the target state information is determined according to the first reference state information and the second reference state information, and the mood parameter set is determined according to the target state information, so that the accuracy of determining the mood parameter set can be improved.
In a possible embodiment, the data processing system may further perform data processing by using the following method, specifically including steps C1-C9:
c1, acquiring a face image of a target user entering the pump room;
c2, determining the identity information of the target user according to the face image of the target user;
c3, if the target user is determined to be an abnormal user according to the identity information, acquiring first action information of the target user;
c4, determining the action tendency of the target user according to the first action information of the target user;
c5, determining the target danger level of the target user according to the action tendency;
c6, if the target danger level is higher than a preset danger level, acquiring target water supply equipment, wherein the target water supply equipment is equipment approached by the target user;
c7, if the equipment grade of the target water supply equipment is higher than the preset equipment grade, sending prompt information to the target user;
c8, acquiring second action information of the target user;
and C9, if the second action information is preset action information, determining that the target user is a normal user.
The target user can be any user entering the pump room, and the mode of acquiring the face image of the target user can be to acquire the face image of the target user through a camera and the like.
According to the face image, the identity information can be determined by comparing the face image with a face image prestored in a database to obtain a face image with the highest similarity to the face image in the database, and determining the identity information corresponding to the face image as the identity information of the target user. Of course, the identity information of the target user may be determined by other means, such as face recognition.
The identity information of the target user can be compared with preset identity information, and if the preset identity information which is the same as the identity information of the target user does not exist, the target user is determined to be an abnormal user. For example, the target user may be a worker, but the employee information has not been entered into the system, and the employee may be determined to be an abnormal user at this time. However, in such a case, if the determination is erroneous, further processing is required.
When the action information of the target user is obtained, the action information of the target user can be determined according to the video by obtaining the video comprising the target user.
The action tendency of the target user may be understood as an action result corresponding to the action information, for example, if the action information of the target user is action information corresponding to a hand stretching action toward a certain water supply facility, the action tendency of the target user may be picking up the water supply facility, touching the water supply facility, or the like.
The danger level of the target user can be determined according to the mapping relation between the preset action tendency and the danger level. For example, if the movement tendency is to pick up the water supply facility, the risk level is high, and if the movement tendency is to touch the water supply facility, the risk level is low. The preset hazard level may be set by empirical values or historical data.
The target water supply device may be understood as a device that the target user approaches, and may specifically be a device that the target user approaches or faces, for example, the target user faces the water tank, and then the water tank may be the target water supply device. Other examples are also possible, and are intended to be illustrative only and not limiting.
The equipment rating of the water supply equipment may be related to the price of the water supply equipment, e.g. the higher the price of the water supply equipment, the higher the equipment rating of the water supply equipment. It may also be related to the degree of importance of the water supply equipment, for example, the higher the importance of the water supply equipment, the higher the equipment level, and the lower the importance, the lower the equipment level. The importance may be understood as the degree of contribution to the water supply, e.g. the tank and the pressurising means, the importance of the tank is higher than the importance of the pressurising means, etc. The preset device level may be set by empirical values or historical data.
The prompt information may be, for example, a prompt voice, and specifically may be, for example, requesting to show a work certificate, showing a work card, and the like, which is only an example and is not limited to the specific example.
The preset action information may be, for example, action information for presenting a work certificate, action information for presenting a work board, or the like.
In this example, when the target user is determined to be an abnormal user through the face image of the target user, in order to further determine the identity of the target user, the action information of the target user is collected, the danger level of the target user is determined, the target water supply equipment is obtained when the danger level is higher, the prompt information is sent when the level of the target water supply equipment is higher, and if the target user executes the preset action after receiving the prompt information, the target user can be determined to be a normal user, so that the accuracy in determining the user type of the target user can be improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (8)
1. A data processing system of a water supply apparatus, the system comprising: the system comprises N water supply devices, a first server, an industrial router and a server cluster, wherein at least 2 devices in the N water supply devices have different data transmission protocols, the N water supply devices are connected with the first server, the first server is connected with the industrial router, the industrial router is connected with the server cluster, wherein,
the first server is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router;
the industrial router is used for receiving the data of the water supply equipment sent by the first server and sending the data of the water supply equipment to the server cluster;
the server cluster is used for storing the data of the water supply equipment.
2. The system of claim 1, wherein the first server comprises an RS485 server.
3. The system according to claim 1 or 2, characterized in that the system further comprises: the first switch is used for receiving the data of the N water supply devices and sending the data of the N water supply devices to the industrial router.
4. The system of claim 1, wherein the first server receives the data of the N water supply devices by at least one of: RS232 protocol, RS485 protocol and TCP/IP protocol.
5. The system of claim 4, wherein the N water supply devices are connected to the first server via fiber optics or an industrial network.
6. The system of claim 5, wherein the industrial router is connected to the cluster of servers via an HTTP service.
7. The system of claim 5 or 6, wherein the industrial router comprises a dedicated network-wide access router.
8. The system of claim 7, wherein the industrial router is further configured to: and carrying out data transmission with the server cluster by adopting a protocol corresponding to the N water supply devices.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020597880.6U CN211830831U (en) | 2020-04-21 | 2020-04-21 | Data processing system of water supply equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020597880.6U CN211830831U (en) | 2020-04-21 | 2020-04-21 | Data processing system of water supply equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211830831U true CN211830831U (en) | 2020-10-30 |
Family
ID=73141683
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020597880.6U Active CN211830831U (en) | 2020-04-21 | 2020-04-21 | Data processing system of water supply equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211830831U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111405066A (en) * | 2020-04-21 | 2020-07-10 | 佛山市灏飞科技信息技术有限公司 | Data processing system of water supply equipment |
-
2020
- 2020-04-21 CN CN202020597880.6U patent/CN211830831U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111405066A (en) * | 2020-04-21 | 2020-07-10 | 佛山市灏飞科技信息技术有限公司 | Data processing system of water supply equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110223146B (en) | System and method for monitoring whole process of electricity purchasing service of customer | |
| CN106408832B (en) | A kind of monitoring method and system of noiseless visitor | |
| CN106161060B (en) | Data monitoring method and device | |
| CN102099813A (en) | Managed biometric-based notification system and method | |
| EP3005639A1 (en) | Method and system for verifying the identity of a user of an online service | |
| JP2007183890A (en) | Living condition monitoring system, apparatus, method, and program | |
| CN211830831U (en) | Data processing system of water supply equipment | |
| CN109993044A (en) | Telecommunication fraud identifying system, method, apparatus, electronic equipment and storage medium | |
| CN106408312A (en) | Method, device and system for acquiring fault solution based on mobile terminal | |
| CN107885637B (en) | A kind of server exception detection method and device | |
| CN104184763A (en) | Feedback information processing method and system and service apparatus | |
| CN107944293B (en) | Fictitious assets guard method, system, equipment and storage medium | |
| CN105931338A (en) | Intelligent community management system based on face recognition | |
| CN116112341B (en) | Network equipment detection method and device, electronic equipment and storage medium | |
| CN115103157A (en) | Video analysis method and device based on edge cloud cooperation, electronic equipment and medium | |
| CN111405066A (en) | Data processing system of water supply equipment | |
| CN111047358A (en) | Member information query method and system based on face recognition | |
| CN102447786A (en) | Personal life special-purpose assisting device and method thereof | |
| CN113079186A (en) | Industrial network boundary protection method and system based on industrial control terminal feature recognition | |
| CN111818025B (en) | User terminal detection method and device | |
| CN112913108B (en) | System for identifying and controlling an electrical device, electrical outlet and server | |
| CN111179548A (en) | Individual resident safety early warning method and system based on current fingerprint technology | |
| CN113192251B (en) | Method for realizing identity recognition of multiple biological characteristics capable of being configured on line | |
| CN114121020A (en) | Target object identity determination method and device, storage medium and electronic device | |
| CN109120960A (en) | User behaviors log acquisition method and device based on television set |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |