CN113915535B - Urban gas pipe network monitoring system and control method thereof - Google Patents
Urban gas pipe network monitoring system and control method thereof Download PDFInfo
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- CN113915535B CN113915535B CN202111229179.4A CN202111229179A CN113915535B CN 113915535 B CN113915535 B CN 113915535B CN 202111229179 A CN202111229179 A CN 202111229179A CN 113915535 B CN113915535 B CN 113915535B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
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Abstract
A municipal gas pipe network monitoring system, the municipal gas pipe network monitoring system comprising: the system comprises at least one far-end terminal device, a first interface server, a second interface server, a database server and a scheduling server.
Description
Technical Field
The application relates to the field of gas pipe network planning, in particular to an urban gas pipe network monitoring system and a control method thereof.
Background
The monitoring system is a monitoring and control system developed based on computer, communication and control technology and is the basis of a digital pipeline. The system can monitor and control on-site operation equipment, and can realize various functions such as data acquisition, equipment control, measurement, parameter adjustment, various signal alarms and the like. Modern automatic management of gas pipelines mostly adopts a monitoring system. In the design of gas pipelines at home and abroad, a monitoring system is already a standardized facility for managing and controlling pipeline systems, and a gas compression station, a metering station, a pressure regulating station, an LGN station, a CNG station, a pigging station, a cathodic protection station and the like are all remotely monitored and controlled by the monitoring system.
The monitoring system structure comprises a scheduling layer, an information processing layer and a remote terminal layer. The scheduling layer is the layer with the highest monitoring system level and is mainly responsible for collecting data of all field remote terminal devices and producing system data, managing, optimizing, deciding and controlling the whole system. The remote terminal layer is used as a field terminal of the monitoring system, can send information to the scheduling layer in real time according to the requirement, and receives control instructions and information from the scheduling layer to realize remote control. The information processing layer is between the scheduling layer and the remote terminal layer, and typically uses a mobile communication network or an ethernet network for communication.
In the prior art, the scheduling layer generally comprises a scheduling server, an interface server, a database server and the like. The scheduling server is provided with monitoring device control software which can monitor the working conditions of the interface server and the database server in real time. The interface server is mainly used for collecting and processing real-time data through the information processing layer. The interface server stores the data acquired in real time into a database server, and the database server is used for storing the data and publishing the data on a network. Because of the important role of the interface servers in collecting data in real time, the interface servers of the scheduling layer in the prior art are usually arranged into two, and in the conventional working condition,
only one interface server is needed to work. If the dispatch server fails to one of the interface servers, the other server will initiate the task of carrying out real-time data acquisition and processing. However, the above prior art has the following technical problems: 1) The loss of sensing data may be caused during the time of switching between the two servers; 2) The standby interface server has low utilization rate and long switching start time; 3) The control method for the multi-frequency detection system is complex, and more network resources are easy to occupy.
Therefore, it is necessary to provide a monitoring system for urban gas pipe network and a control method thereof, which can avoid data loss caused by switching and simplify the complexity of the monitoring control method of the multi-frequency system.
Disclosure of Invention
The technical problems to be solved by the application are as follows: the existing urban gas pipe network monitoring system and the control method thereof exist: 1) The utilization rate of the standby interface server is low; 2) For the multi-frequency detection system, when a standby server is adopted, the control method is complex, and more network resources are easy to occupy.
The technical scheme adopted for solving the technical problems is as follows:
a municipal gas pipe network monitoring system, the municipal gas pipe network monitoring system comprising: the system comprises at least one far-end terminal device, a first interface server, a second interface server, a database server and a scheduling server.
Specifically, each of the plurality of far-end terminal devices is connected with the terminal device of the urban gas pipe network and various sensors for measuring the states of the terminal device, and is used for collecting data collected by the various sensors in real time and sending the data to the first or second interface server.
Specifically, the far-end terminal device is also connected to the first and second interface servers at the same time, and receives the detection driving information sent by the first or second interface server, so as to collect relevant sensor data according to the frequency of the detection driving signal and return the relevant sensor data to the first or second interface server.
Specifically, the first interface server and the second interface server are located between at least one far-layer terminal device and the database server, and are also connected with the scheduling server.
Specifically, the first interface server and the second interface server are further configured to receive control information sent by the scheduling server, selectively perform function starting or receive a detection driving signal, and forward the detection driving signal to the far-end terminal device.
Specifically, the database server is connected with the first interface server, the second interface server and the scheduling server at the same time. The system is used for receiving the sensor data uploaded by the first interface server and the second interface server, and is used for reading and analyzing by the dispatching server, so that the dispatching server can determine the subsequent detection driving signals according to the sensor data of the far-layer terminal equipment.
Specifically, the dispatch server is connected to the database server and the first and second interface servers.
Specifically, the scheduling server may read sensor data of the far-end terminal device stored in the database server, analyze the sensor data according to a preset program, determine a subsequent detection driving signal according to the sensor data condition, and send the detection driving signal to the first and second interface servers.
Specifically, the scheduling server is further configured to detect working states of the first and second interface servers, and if any one of the first and second interface servers is found to have an incorrect working state, perform sensor data acquisition and transmission on all far-layer terminal devices only through one of the first and second interface servers that has no incorrect working state.
A control method based on the urban gas pipe network monitoring system comprises the steps that if any one of the first interface server and the second interface server is found to have an error working state, sensor data acquisition and transmission of all far-layer terminal equipment are carried out only through one of the first interface server and the second interface server, wherein the error working state does not occur.
The urban gas pipe network monitoring system and the control method thereof provided by the application have the following beneficial effects:
1) The standby server and the main server are respectively used for collecting data with different adopted frequencies and transmitting signals with different sampling frequencies under the normal state, so that the control pressure on the modulating server caused by the fact that a single server transmits a plurality of adopted frequency signals is avoided.
2) When the pipe network sensitive parameters meet the threshold condition, the sampling frequency of the pipe network parameters is improved, the problems that instantaneous parameter fluctuation is not easy to find and characteristic data under the condition of specific parameter change is omitted due to low sampling frequency of the intelligent instrument in normal monitoring are solved, and the accuracy of monitoring the follow-up gas pipe network safety or other states is improved.
3) When the standby server is switched, buffer time is added in the detection driving signal, so that the problem that the same detection driving signal cannot be used for detection driving due to different revealing time of normal sampling and dense sampling is avoided.
4) And by using one standby server, two detection devices adopting frequencies can be driven simultaneously by sending a third detection driving signal, so that the complexity of system control is reduced, and the system efficiency is improved.
Drawings
Fig. 1 is a schematic structural diagram of an urban gas pipe network monitoring system provided by the application.
Detailed Description
The urban gas pipe network monitoring system and the control method thereof provided by the application are further described in detail below.
The present application will be described in more detail below with reference to the attached drawings, in which preferred embodiments of the present application are shown, it being understood that one skilled in the art can modify the present application described herein while still achieving the beneficial effects of the present application. Accordingly, the following description is to be construed as broadly known to those skilled in the art and not as limiting the application.
In the interest of clarity, not all features of an actual implementation are described. In the following description, well-known functions or constructions are not described in detail since they would obscure the application in unnecessary detail. It will be appreciated that in the development of any such actual embodiment, numerous implementation details must be made in order to achieve the developer's specific goals.
In order to make the objects and features of the present application more comprehensible, embodiments accompanied with figures are described in detail below. It should be noted that the drawings are in a very simplified form and all employ non-precise ratios, and are merely convenient and clear to aid in the description of the embodiments of the application.
In order to describe the inventive concept in more detail, the application firstly describes an urban gas pipe network monitoring system provided by the application. This city gas pipeline monitored control system includes: the system comprises at least one far-end terminal device, a first interface server, a second interface server, a database server and a scheduling server. Each of the plurality of far-end terminal devices is connected with the terminal device of the urban gas pipe network and various sensors for measuring the states of the terminal device, and is used for collecting data collected by the various sensors in real time and sending the data to the first or second interface server. The remote terminal device is also connected to the first and second interface servers at the same time, and receives the detection driving information sent by the first or second interface server, so as to collect the related sensor data according to the frequency of the detection driving signal and return the data to the first or second interface server.
The first interface server and the second interface server are located between at least one far-layer terminal device and the database server and are also connected with the dispatching server. The first interface server and the second interface server are used for receiving data transmitted by the far-layer terminal equipment and storing the data into the database server. The first interface server and the second interface server are also used for receiving the control information sent by the dispatching server, selectively starting the functions or receiving the detection driving signals and forwarding the detection driving signals to the far-end terminal equipment.
The database server is connected with the first interface server and the second interface server at the same time, and the dispatching server. The system is used for receiving the sensor data uploaded by the first interface server and the second interface server, and is used for reading and analyzing by the dispatching server, so that the dispatching server can determine the subsequent detection driving signals according to the sensor data of the far-layer terminal equipment.
The dispatch server is connected to the database server and the first and second interface servers. The dispatching server can read the sensor data of the far-end terminal equipment stored in the database server, analyze the sensor data according to a preset program and determine the subsequent detection driving signals according to the condition of the sensor data. And transmitting the detection driving signals to the first interface server and the second interface server. The scheduling server is also used for detecting the working states of the first interface server and the second interface server, and if any one of the first interface server and the second interface server is found to have an error working state, the sensor data acquisition and transmission of all the far-end terminal devices are carried out only through one of the first interface server and the second interface server which has no error working state.
It is noted that the first interface server and the second interface server are server devices having the same function and performance. The first interface server is used for data transmission between the far-layer terminal equipment and the database server under the condition of normal sampling frequency, and the second interface server is used for data transmission between the far-layer terminal equipment and the database server under the condition of dense sampling frequency.
The regular sampling frequency condition and the dense sampling frequency condition are obtained by the scheduling server through reading and analyzing sensor data acquired by each of at least one far-layer terminal device stored in the database server, and specific regular sampling frequency condition and dense sampling frequency condition will be described in detail in a subsequent control method.
When the sensor data acquired by one of the at least one far-end terminal device meets the conventional sampling frequency condition, the scheduling server sends a first detection driving signal corresponding to the one of the at least one far-end terminal device to the first interface server, and the first interface server acquires and transmits the sensor data to the one of the at least one far-end terminal device according to the first detection driving signal. When the sensor data acquired by one of the at least one far-end terminal device meets the dense sampling frequency condition, the scheduling server sends a second detection second driving signal corresponding to the one of the at least one far-end terminal device to the second interface server, and the second interface server acquires and transmits the sensor data to the one of the at least one far-end terminal device according to the detection driving signal. The first detection driving signal and the second detection driving signal adopt detection frequency signals, and the detection frequency signals in the first detection driving signal are larger than those in the second detection driving signal.
In addition, the scheduling server is further used for detecting the working states of the first interface server and the second interface server, if any one of the first interface server and the second interface server is found to have an error working state, the sensor data acquisition and transmission of all far-end terminal devices are carried out only through one of the first interface server and the second interface server, namely, the sensor data acquisition of the conventional sampling frequency and the dense sampling frequency is carried out on all the far-end terminal devices through one of the first interface server and the second interface server, wherein the error working state does not occur.
The at least one far-layer terminal device is connected with the first interface server and the second interface server through a mobile communication network, and the mobile communication network can be a commercial mobile network such as 4G,5G, CDMA and the like. The first interface server and the second interface server are connected with the database server and the dispatching server by adopting a local area network, preferably, in order to ensure the stability of the network, a wired local area network is preferably adopted for connection.
The control method of the urban gas pipe network monitoring system provided by the application is described below based on the urban gas pipe network monitoring system. The control method comprises the following steps:
the first step, the system initialization specifically includes:
after the scheduling server checks that the states of the first interface server and the second interface server are normal, the scheduling server sends a first detection driving signal to the first interface server, wherein the first detection driving signal comprises a first detection starting signal and a first detection frequency signal, the first detection starting signal sets a detection starting time, the first detection frequency signal sets a detection period to be T1, and the first detection frequency signal is a conventional sampling frequency. The first interface server sends data transmission requests to all far-layer terminal devices according to a detection period T1 in the first detection driving signal.
All the far-end terminal devices are initialized to the same detection starting time and detection frequency in the initialization step, so that the complexity of signal control of the interface server can be effectively reduced.
The second step, data collection and sampling frequency adjustment, specifically includes:
s21, the scheduling server reads the state of the first interface server at the starting time of each sampling period according to the first detection driving signal, and if the state of the first interface server read at the starting time of the sampling period is wrong, the third step is executed; if the state of the first interface server read at the start time of the sampling period is normal, the first interface server sends sensor data requests to all far-end terminal devices according to a first detection driving signal, and after each far-end terminal device receives the sensor data requests, the first interface server sends detection data of the first interface server to the first interface server, wherein the detection data comprises: identity information and sensor data.
S22, after receiving the detection data of each far-end terminal device, the first interface server transmits the detection data to the database server for classified storage according to the identity information of each far-end terminal device.
S23, the dispatching server reads the sensor data of each far-end terminal device stored in the database server, analyzes the sensor data, judges the sampling frequency of each far-end terminal device in the follow-up monitoring according to the following sampling frequency judging conditions.
The sampling frequency judging condition is as follows: when any one of the far-end terminal devices meets at least one of the following three conditions, the far-end terminal device is judged to sample at the second sampling frequency at the beginning of the next adoption period.
The three conditions are as follows: 1) Real-time temperature detected by the temperature sensor meetsWherein Ti is temperature data acquired in real time, i is the ith time point, and +.>Is the average value of the 1 st to i th temperature data, T j All data acquired at 1 st to i th time acquisition points are represented;
and/or 2) the real-time detection data of the pressure sensor meets the requirement Wherein P (ti) is air pressure data acquired in real time, ρ is natural gas density, g is gravitational acceleration;
and/or 3) the flow sensor real-time detection data satisfies Li is flow data acquired in real time, i is the ith time point,/and Li is the time point>Lj represents all flow data acquired at 1 st to i th time acquisition points, which is the average value of the 1 st to i th flow data.
When at least one of the above conditions 1) -3) is satisfied, then it is determined that the far-end terminal device is sampling at the second sampling frequency. Wherein the sampling period of the second sampling frequency is T2, t1=nt2, n=an integer of 3-6.
When the pipe network sensitive parameters meet the threshold condition, the sampling frequency of the pipe network parameters is improved, the problems that instantaneous parameter fluctuation is not easy to find and characteristic data under the condition of specific parameter change is omitted due to low sampling frequency of the intelligent instrument in normal monitoring are solved, and the accuracy of monitoring the follow-up gas pipe network safety or other states is improved.
If there is no sensor data of the far-end terminal device satisfying at least one of the above three conditions, S21-S23 are repeatedly performed.
If at least one of the three conditions is met by the sensor data of the at least one far-layer terminal device, the scheduling server reads the states of the first interface server and the second interface server, and if the state of one of the first interface server and the second interface server read at the starting time of the sampling period is wrong, the third step is executed; if the states of the first interface server and the second interface server read at the starting time of the sampling period are normal, the scheduling server sends the identity information and the first detection driving signal (the first detection starting signal and the first detection frequency signal) of the far-end terminal equipment which do not meet the judging condition of the sampling frequency to the first interface server, and the first interface server sends the sensor data request to the corresponding far-end terminal equipment which does not meet the judging condition according to the identity information and the first detection driving signal. The detection of this part of the terminal device is actually carried out with a constant detection frequency continuing step S21. The scheduling server sends the identity information and a second detection driving signal (a second detection starting signal and a second detection frequency signal) of the far-end terminal equipment meeting the sampling frequency judgment condition to a second interface server, and the second interface server sends a sensor data request to the corresponding far-end terminal equipment according to the identity information and the second detection driving signal; the sampling period of the second sampling frequency is T2, t1=nt2, n=an integer of 3-6; and the second interface server sends a sensor data request to the far-layer terminal equipment meeting the judgment condition according to the second detection driving signal. After each far-layer terminal device receives the sensor data request sent by the first or second interface server, sending the detection data of the far-layer terminal device back to the first or second interface server according to the server from which the request originates and the adoption frequency of the request, wherein the detection data comprises: identity information and sensor data.
The second step is repeatedly performed every cycle.
Thirdly, when the scheduling server reads that the state of the first interface server or the second interface server has an error, the interface server is switched, and the specific mode is as follows:
if the scheduling server finds that the first interface server or the second interface server is wrong when the first interface server or the second interface server is used for working, the scheduling server sends a first detection driving signal to the second interface server or sends a second detection driving signal to the first interface server, namely the other interface server is directly used for replacing the interface server with wrong working state to send the original detection driving signal.
If the first interface server and the second interface server are used at the same time, the scheduling server finds that the working state of one of the first interface server and the second interface server is wrong when the sampling period starts, then sends a third detection driving signal, wherein the third detection driving signal comprises a buffer time and at least one normal detection period which follows the buffer time, the buffer time comprises n detection periods, the n detection periods form a complete buffer detection period, the period t3=t2-P/n of each detection period of the n detection periods is a second sampling period, P is the time difference between the first detection starting time and the second detection starting time, and after the buffer time of the n detection periods, since t1=n2, the far-layer terminal equipment with the first sampling frequency and the far-layer terminal equipment with the second sampling frequency have the same sampling starting time, so that the control of the sensor system with different sampling frequencies can be facilitated by adopting a single sampling frequency signal. The period of each detection period in the normal detection period is restored to T2. The third detection driving signal further comprises a state switching signal and identity information of each far-layer terminal device corresponding to the state switching signal.
When each far-layer terminal device receives the third detection driving signal, the original far-layer terminal device which adopts the first sampling frequency to sample is set to sample at the initial time of the m+1 th period of the third detection driving signal by identifying the state switching signal and the identity information of each far-layer terminal device corresponding to the state switching signal; the original far-layer terminal device that adopts the second sampling frequency to sample is set to sample at the starting time of each period of the third detection driving signal, and m is an integer sequence greater than or equal to 0.
And step S23 is executed until the scheduling server reads that the working states of the first interface server and the second interface server are normal.
The urban gas pipe network monitoring system and the control method thereof provided by the application have the following beneficial effects:
1) The standby server and the main server are respectively used for collecting data with different adopted frequencies and transmitting signals with different sampling frequencies under the normal state, so that the control pressure on the modulating server caused by the fact that a single server transmits a plurality of adopted frequency signals is avoided.
2) When the pipe network sensitive parameters meet the threshold condition, the sampling frequency of the pipe network parameters is improved, the problems that instantaneous parameter fluctuation is not easy to find and characteristic data under the condition of specific parameter change is omitted due to low sampling frequency of the intelligent instrument in normal monitoring are solved, and the accuracy of monitoring the follow-up gas pipe network safety or other states is improved.
3) When the standby server is switched, buffer time is added in the detection driving signal, so that the problem that the same detection driving signal cannot be used for detection driving due to different revealing time of normal sampling and dense sampling is avoided.
4) And by using one standby server, two detection devices adopting frequencies can be driven simultaneously by sending a third detection driving signal, so that the complexity of system control is reduced, and the system efficiency is improved.
The foregoing has outlined and described the basic principles, features, and advantages of the present application in order that the description that follows is merely an example of the present application. It will be understood by those skilled in the art that the present application is not limited to the embodiments described above, but rather that the foregoing embodiments and description illustrate only the principles of the application, and that the application is susceptible to various equivalent changes and modifications without departing from the spirit and scope of the application, all of which are intended to be within the scope of the application as hereinafter claimed. The scope of the application is defined by the appended claims and their equivalents.
Claims (2)
1. A city gas pipe network monitored control system, its characterized in that: this city gas pipeline monitored control system includes: the system comprises at least one far-layer terminal device, a first interface server, a second interface server, a database server and a scheduling server;
each of the plurality of far-end terminal devices is connected with the terminal device of the urban gas pipe network and various sensors for measuring the states of the terminal device, and is used for collecting data collected by various sensors in real time and transmitting the data to the first or second interface server; the remote terminal device is also connected to the first and second interface servers at the same time, and receives the detection driving information sent by the first or second interface server, so as to collect related sensor data according to the frequency of the detection driving signal and return the data to the first or second interface server;
the first interface server and the second interface server are positioned between at least one far-layer terminal device and the database server and are also connected with the scheduling server; the first interface server and the second interface server are used for receiving data transmitted by the far-layer terminal equipment and storing the data into the database server; the first interface server and the second interface server are also used for receiving the control information sent by the scheduling server, selectively starting functions or receiving detection driving signals and forwarding the detection driving signals to the far-layer terminal equipment;
the database server is connected with the first interface server and the second interface server at the same time, and the dispatching server; the system is used for receiving the sensor data uploaded by the first interface server and the second interface server, and is used for reading and analyzing by the dispatching server, so that the dispatching server can determine a subsequent detection driving signal according to the sensor data of the far-layer terminal equipment;
the detection driving signals are sent to a first interface server and a second interface server; the scheduling server is also used for detecting the working states of the first interface server and the second interface server, and if any one of the first interface server and the second interface server is found to have an error working state, the sensor data acquisition and transmission of all the far-end terminal devices are carried out only through one of the first interface server and the second interface server which has no error working state;
the first interface server and the second interface server are server devices with the same functions and performances; the first interface server is used for data transmission between the far-layer terminal equipment and the database server under the condition of normal sampling frequency, and the second interface server is used for data transmission between the far-layer terminal equipment and the database server under the condition of dense sampling frequency;
the regular sampling frequency condition and the dense sampling frequency condition are obtained by the scheduling server through reading and analyzing sensor data acquired by each of at least one far-layer terminal device stored in the database server;
when the sensor data acquired by one of the at least one far-end terminal device meets the conventional sampling frequency condition, the scheduling server sends a first detection driving signal corresponding to the one of the at least one far-end terminal device to a first interface server, and the first interface server acquires and transmits the sensor data to the one of the at least one far-end terminal device according to the first detection driving signal; when the sensor data acquired by one of the at least one far-end terminal device meets the dense sampling frequency condition, the scheduling server sends a second detection second driving signal corresponding to the one of the at least one far-end terminal device to a second interface server, and the second interface server acquires and transmits the sensor data to the one of the at least one far-end terminal device according to the detection driving signal; the first detection driving signal and the second detection driving signal adopt detection frequency signals, and the detection frequency signals in the first detection driving signal are larger than those in the second detection driving signal;
wherein, the sampling frequency judging condition is: when any one far-end terminal device meets at least one of the following three conditions, judging that the far-end terminal device adopts a second sampling frequency to sample at the beginning of the next adoption period;
the three conditions are as follows: 1) Real-time temperature detected by the temperature sensor meetsWherein Ti is temperature data acquired in real time, i is the ith time point, and +.>Mean value of 1~i temperature data, +.>All data collected at time 1~i collection point;
and/or 2) the real-time detection data of the pressure sensor meets the requirementWherein->For the air pressure data collected in real time, +.>G is gravity acceleration, which is natural gas density;
and/or 3) the flow sensor real-time detection data satisfiesLi is flow data acquired in real time, i is the ith time point, and +.>Mean value of 1~i th flow data, +.>All flow data acquired at 1~i time acquisition points;
when at least one of the above conditions 1) -3) is satisfied, then it is determined that the far-end terminal device is sampling at the second sampling frequency.
2. The urban gas pipe network monitoring system according to claim 1, wherein: all far-end terminal devices are initialized to the same detection starting time and detection frequency in the initialization step.
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| CN205535082U (en) * | 2016-02-17 | 2016-08-31 | 四川智联正邦信息技术有限公司 | Wisdom gas pipe network geographic information manages platform system based on internet of things |
| CN106791639A (en) * | 2016-12-15 | 2017-05-31 | 中国电子科技集团公司第十四研究所 | Video frequency monitoring method and system under large-scale data concurrent environment |
| CN110430241A (en) * | 2019-07-12 | 2019-11-08 | 清华大学建筑设计研究院有限公司 | Wisdom information acquisition of Internet of things Transmission system |
| CN110545530A (en) * | 2019-09-06 | 2019-12-06 | 陕西威迈仪器设备有限公司 | Wireless sensor network system and data transmission method |
| CN211827011U (en) * | 2020-04-29 | 2020-10-30 | 黑龙江省自动化系统工程有限公司 | Urban water supply production monitoring system |
| CN112148048A (en) * | 2020-09-29 | 2020-12-29 | 南京邦州电力自动化有限公司 | Power environment monitoring system |
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