Wireless pipeline pressure monitoring method and device

Abstract

The invention relates to the technical field of pipeline engineering, and discloses a wireless pipeline pressure monitoring method and device.The method comprises the steps that when a wireless pressure monitor detects abnormal data, an alarm signal is sent to a valve controller in a first communication mode, and the valve controller executes valve cut-off operation; the valve controller generates alarm data and uploads the alarm data to the cloud server in a second communication mode; the cloud server determines an alarm host according to the alarm data and sends the alarm data to the alarm host through a second communication mode; and the alarm host determines an alarm level according to the alarm data and sends alarm information to a worker. According to the application, the cloud server is added among the pressure monitor, the valve controller and the alarm host by using two different wireless communication modes for data processing and data transfer, so that when the pressure is abnormal, the valve can be cut off in time and a worker can be informed; zero-wiring long-distance real-time pressure monitoring and alarm functions are realized.

Description

Technical Field

[0001] The present application relates to the technical field of pipeline engineering, and in particular to a wireless pipeline pressure monitoring method and device. Background Art

[0002] In modern cities, pipeline systems are like the blood vessels of cities, carrying the task of transporting key resources such as water, gas, and oil. The normal operation of these pipeline systems is crucial to the normal operation of cities and the lives of residents. With the influence of factors such as pipeline aging, geological changes, and human damage, pipeline safety issues have become increasingly prominent. Frequent accidents such as pipeline leakage and bursting not only threaten the normal operation of cities, but also pose a serious threat to the safety of people's lives and property. In order to timely discover and warn of potential pipeline safety hazards, a technical means that can monitor pipeline pressure in real time is needed. This technology can ensure the safe operation of the pipeline system and reduce the probability of accidents. Existing technical means mostly use mechanical pressure gauges to monitor pipeline pressure, and a small number of smart meters connect the pressure gauge to the alarm host through wired 485 communication to achieve data communication.

[0003] However, traditional mechanical pressure gauges do not have monitoring and alarm functions, and are unable to detect and take corresponding measures in time when pipeline pressure is abnormal. If the pressure gauge is connected to the alarm host by wire, if the pressure monitor is far away from the alarm host, not only will the wiring cost be high, but it is also easy for the signal to be poor due to aging of the line and the wiring to be damaged, which will affect the communication, making it easy for the valve to be unable to be controlled in time to close the pipeline when pressure abnormalities occur. Summary of the invention

[0004] In order to solve the above-mentioned problems of high wiring cost and inability to control the valve in time to close the pipeline when abnormal pressure occurs, the embodiment of the present application provides a wireless pipeline pressure monitoring method and device, and its technical solution is as follows: In a first aspect, an embodiment of the present application provides a wireless pipeline pressure monitoring method, which is applied to a wireless monitoring system, the wireless monitoring system including a wireless pressure monitor, a valve controller, an alarm host and a cloud server, the method comprising: When the wireless pressure monitor detects abnormal data, an alarm signal corresponding to the abnormal data is sent to the valve controller through the first communication method, and the valve controller performs a valve cut-off operation according to the alarm signal; The valve controller generates alarm data according to the alarm signal and the valve cut-off operation, and uploads the alarm data to the cloud server through the second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; The cloud server determines the alarm host corresponding to the valve controller according to the alarm data, and sends the alarm data to the alarm host through the second communication method; When the alarm host receives the alarm data, it determines the alarm level according to the alarm data and sends the alarm information to the staff through the sending method corresponding to the alarm level.

[0005] In an optional solution of the first aspect, when the wireless pressure monitor detects abnormal data, before sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The wireless pressure monitor collects the pipeline pressure and compares the pipeline pressure value with the preset safety range; When the comparison result is that the value of the pipeline pressure exceeds the preset safety range, abnormal data is generated according to the value of the pipeline pressure.

[0006] In another optional solution of the first aspect, when the wireless pressure monitor detects abnormal data, after sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The wireless pressure monitor uploads the abnormal data to the cloud server through the third communication method for backup to ensure that when the valve controller fails, the cloud server can still receive the abnormal data and take corresponding measures; among which, the third communication method has high data transmission rate and stability.

[0007] In another optional solution of the first aspect, after the valve controller performs the valve shutoff operation according to the alarm signal, the method further includes: The wireless pressure monitor continues to collect pipeline pressure; When it is detected that the value of the pipeline pressure is within a preset safety range, a recovery signal is sent to the valve controller through the first communication method to control the valve to reopen.

[0008] In another optional solution of the first aspect, the valve controller generates alarm data according to the alarm signal and the cut-off valve operation, including: The valve controller switches the working state to the alarm state according to the cut-off valve operation, and obtains the cut-off time and valve number corresponding to the cut-off valve operation; Generate alarm data based on alarm signal, shutoff time and valve number.

[0009] In another optional solution of the first aspect, the cloud server determines the alarm host corresponding to the valve controller according to the alarm data, including: The cloud server analyzes the alarm data and obtains the valve controller identification; Based on the identification of the valve controller, an alarm host corresponding to the valve controller is determined in a preset database; wherein the preset database includes at least two identifications of the valve controller and alarm host information corresponding to the identifications of the valve controller.

[0010] In yet another optional solution of the first aspect, the wireless monitoring system further includes a remote management module, wherein: The remote management module communicates with the cloud server via a second communication method; The remote management module is used to remotely configure and maintain wireless pressure monitors, valve controllers, and alarm hosts.

[0011] In a second aspect, an embodiment of the present application provides a wireless pipeline pressure monitoring device, which is applied to a wireless monitoring system. The wireless monitoring system includes a wireless pressure monitor, a valve controller, an alarm host, and a cloud server. The device includes: A first processing module, configured to send an alarm signal corresponding to the abnormal data to the valve controller through a first communication method when the wireless pressure monitor detects abnormal data, and the valve controller performs a valve cut-off operation according to the alarm signal; The second processing module is used for the valve controller to generate alarm data according to the alarm signal and the valve cut-off operation, and upload the alarm data to the cloud server through the second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; A third processing module is used for the cloud server to determine the alarm host corresponding to the valve controller according to the alarm data, and send the alarm data to the alarm host through the second communication method; The fourth processing module is used to determine the alarm level according to the alarm data when the alarm host receives the alarm data, and send the alarm information to the staff in a sending method corresponding to the alarm level.

[0012] In a third aspect, an embodiment of the present application further provides a wireless pipeline pressure monitoring device, including a processor and a memory; The processor is connected to the memory; A memory for storing executable program codes; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the wireless pipeline pressure monitoring method provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect.

[0013] In a fourth aspect, an embodiment of the present application provides a computer storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, the wireless pipeline pressure monitoring method provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect can be implemented.

[0014] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least: In the process of wireless pipeline pressure monitoring, two different wireless communication methods are used to connect the pressure monitor, valve controller and alarm host to a cloud server for data processing and data transfer. This enables the valve to be cut off in time and the staff to be informed when the pressure is abnormal, thus realizing zero-wiring long-distance real-time pressure monitoring and alarm functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 An overall flow chart of a wireless pipeline pressure monitoring method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a wireless monitoring system provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a wireless pipeline pressure monitoring device provided in an embodiment of the present application; Figure 4 A schematic diagram of the structure of another wireless pipeline pressure monitoring device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0018] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments recorded. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, although the embodiment may not be clearly recorded in the following text.

[0019] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described in some examples may be combined in other examples.

[0020] See also Figure 1 , Figure 1 An overall flow chart of a wireless pipeline pressure monitoring method provided in an embodiment of the present application is shown.

[0021] like Figure 1 As shown, the wireless pipeline pressure monitoring method may at least include the following steps: Step 101: When the wireless pressure monitor detects abnormal data, an alarm signal corresponding to the abnormal data is sent to a valve controller via a first communication method, and the valve controller performs a valve cut-off operation according to the alarm signal.

[0022] In an embodiment of the present application, a wireless pipeline pressure monitoring method is applied to a wireless monitoring system, which includes a wireless pressure monitor, a valve controller, an alarm host, and a cloud server, wherein the wireless pressure monitor communicates with the valve controller, and the cloud server communicates with the valve controller and the alarm host, respectively. In the process of wireless pipeline pressure monitoring, two different wireless communication methods are used to add a cloud server between the pressure monitor, the valve controller, and the alarm host for data processing and data transfer, so that when the pressure is abnormal, the valve can be cut off in time and the staff can be informed, realizing zero-wiring long-distance real-time pressure monitoring and alarm functions.

[0023] Specifically, during the wireless pipeline pressure monitoring process, when the wireless pressure monitor detects abnormal data, it will immediately send an alarm signal to the valve controller through the first communication method (such as the 433 wireless communication method). After receiving this signal, the valve controller will respond quickly and perform the operation of cutting off the valve to prevent potential danger or damage. It can be understood that the first communication method ensures the real-time and reliability of the data, so that the valve controller can quickly receive the alarm signal; the alarm signal corresponds to the abnormal data and contains detailed information of the abnormal data, such as pressure value, timestamp, etc.; by cutting off the valve, the potential harm caused by abnormal pressure to equipment and production lines can be prevented.

[0024] As an optional embodiment of the present application, when the wireless pressure monitor detects abnormal data, before sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, it also includes: The wireless pressure monitor collects the pipeline pressure and compares the pipeline pressure value with the preset safety range; When the comparison result is that the value of the pipeline pressure exceeds the preset safety range, abnormal data is generated according to the value of the pipeline pressure.

[0025] Specifically, the wireless pressure monitor continuously collects pressure data in the pipeline through its internal pressure sensor. These data are usually expressed in digital form and can be updated in real time to reflect the dynamic changes in pipeline pressure. During the system setting stage, a safety range of pipeline pressure (i.e., preset safety range) will be preset based on factors such as pipeline design requirements, operating conditions, and safety standards. This range usually includes a minimum safety pressure and a maximum safety pressure to ensure that the pipeline will not fail due to excessive or low pressure during normal operation.

[0026] It is understandable that the wireless pressure monitor compares the pipeline pressure data collected in real time with the preset safety range. If the comparison result shows that the pipeline pressure exceeds the preset safety range, the wireless pressure monitor will identify this as an abnormal situation, wherein the comparison operation is automated and completed by the processor or microcontroller inside the monitor. Subsequently, the monitor generates abnormal data based on the actual pipeline pressure value. These abnormal data usually contain key information such as pressure value, degree of exceeding the range, timestamp, etc. The generation of abnormal data is to notify the system administrator or related equipment (such as valve controller) that an abnormal situation has occurred so that timely countermeasures can be taken.

[0027] Step 102: The valve controller generates alarm data according to the alarm signal and the valve cut-off operation, and uploads the alarm data to the cloud server via the second communication method.

[0028] Specifically, after the valve controller receives the alarm signal and performs the valve cut-off operation, alarm data can be generated based on the alarm signal and the valve cut-off operation, and these data can be uploaded to the cloud server through a second communication method (such as a 4G communication method), wherein the frequency band of the first communication method is lower than the frequency band of the second communication method.

[0029] It is understandable that the alarm signal usually contains detailed information of abnormal data, which is used to trigger the cut-off operation of the valve controller. The valve controller is an intelligent device responsible for receiving the alarm signal from the wireless pressure monitor and judging whether it is necessary to perform the cut-off valve operation according to the preset logic. While performing the cut-off operation, the valve controller will also record relevant alarm information, such as the alarm time, the number of the cut-off valve, the pipeline pressure value before the cut-off, etc. While performing the cut-off operation, the valve controller can generate alarm data based on the alarm signal and the cut-off valve operation, wherein the alarm data usually includes key information such as the alarm time, the number of the cut-off valve, the pipeline pressure value before the cut-off, and the result of the cut-off operation.

[0030] Furthermore, after the alarm data is generated, the alarm data can be uploaded to the cloud server through the second communication method. Compared with the first communication method (used for communication between the wireless pressure monitor and the valve controller), the second communication method has a higher frequency band. High-frequency band communication usually has a higher data transmission rate and stronger anti-interference ability, and is suitable for quickly and reliably transmitting large amounts of data to the cloud server.

[0031] It should be noted that the cloud server is a remote data storage and processing center. After the valve controller uploads the alarm data to the cloud server through the second communication method, the data can be used for further analysis, processing and storage. In addition, the cloud server can also provide remote monitoring and management functions, allowing system administrators to understand the operating status and abnormal conditions of the pipeline system in real time.

[0032] As another optional embodiment of the present application, when the wireless pressure monitor detects abnormal data, after sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, it also includes: The wireless pressure monitor uploads the abnormal data to the cloud server through the third communication method for backup to ensure that when the valve controller fails, the cloud server can still receive the abnormal data and take corresponding measures; among which, the third communication method has high data transmission rate and stability.

[0033] Specifically, after the wireless pressure monitor sends the alarm signal to the valve controller, the abnormal data can also be uploaded to the cloud server for backup through the third communication method. It is worth noting that, unlike the first communication method (communication between the valve controller and the wireless pressure monitor) and the second communication method (communication between the valve controller and the cloud server), the third communication method has a high data transmission rate and stability. The high data transmission rate ensures that the abnormal data can be quickly uploaded to the cloud server, while the stability ensures the reliability and integrity of the data transmission.

[0034] It is understandable that the cloud server has powerful computing power and storage space, and can receive and store abnormal data uploaded by the wireless pressure monitor for subsequent analysis, processing and alarm. In the event of a valve controller failure or malfunction, the cloud server can still receive abnormal data through a third communication method and take corresponding measures, such as sending alarm notifications, triggering other safety devices, etc. When the wireless pressure monitor detects abnormal data, it directly uploads the abnormal data to the cloud server for backup through an efficient and stable third communication method to ensure the integrity and accessibility of the data when the valve controller fails.

[0035] It should be noted that the first communication mode, the second communication mode and the third communication mode are all wireless communication modes to achieve zero wiring.

[0036] As another option of the embodiment of the present application, after the valve controller performs the valve cutting operation according to the alarm signal, the method further includes: The wireless pressure monitor continues to collect pipeline pressure; When it is detected that the value of the pipeline pressure is within a preset safety range, a recovery signal is sent to the valve controller through the first communication method to control the valve to reopen.

[0037] Specifically, after the valve controller executes the valve shut-off operation according to the alarm signal, the wireless pressure monitor can also continuously monitor the pipeline pressure. Once it is detected that the pressure value returns to the preset safety range, it can immediately send a recovery signal to the valve controller through the first communication method to instruct it to reopen the valve.

[0038] It is understood that when the wireless pressure monitor detects that the pipeline pressure value returns to the preset safe range, it will generate a recovery signal. The recovery signal is an indicative signal used to notify the valve controller that the pipeline pressure has returned to normal and the valve can be reopened. After receiving the recovery signal, the valve controller will control the relevant valve to reopen. After the valve is reopened, the fluid in the pipeline can flow again, thereby restoring the normal operation of the system.

[0039] As another option of the embodiment of the present application, the valve controller generates alarm data according to the alarm signal and the cut-off valve operation, including: The valve controller switches the working state to the alarm state according to the cut-off valve operation, and obtains the cut-off time and valve number corresponding to the cut-off valve operation; Generate alarm data based on alarm signal, shutoff time and valve number.

[0040] Specifically, after executing the valve shutoff operation, the valve controller can switch its working state to the alarm state. This state switch is to notify the system administrator or related equipment that the valve controller has taken emergency measures and needs further attention or processing. At the same time, the valve controller also records information such as the shutoff time and valve number, and generates alarm data based on this information and the alarm signal. The alarm data usually contains this key information and possible other related information, such as the result of the shutoff operation, the pipeline pressure value, etc. The generation of alarm data is to notify the system administrator or related equipment of abnormal conditions so that they can take timely countermeasures.

[0041] It can be understood that the cut-off time is the specific time point when the valve controller performs the cut-off operation; the valve number is the unique identifier of the cut-off valve, which is used to distinguish different valves in the system. The valve controller will record these two key information when performing the cut-off operation for subsequent analysis and processing.

[0042] Step 103: The cloud server determines the alarm host corresponding to the valve controller according to the alarm data, and sends the alarm data to the alarm host via the second communication method.

[0043] Specifically, the cloud server identifies the corresponding alarm host based on the received alarm data, and sends the alarm data to it through the second communication method, wherein the alarm data is generated by the valve controller after detecting an abnormality or performing a cut-off operation, and contains key information such as the alarm signal, cut-off time, and valve number. These data are used to notify system administrators or related equipment about abnormal conditions of the pipeline system.

[0044] It is understood that the alarm host is a device dedicated to receiving, processing and displaying alarm information. In this solution, the alarm host is associated with the valve controller, which is used to receive alarm data from the cloud server and may trigger further alarm actions, such as sound and light alarms, sending SMS notifications, etc.

[0045] It should be noted that after the cloud server receives the alarm data, it will identify the corresponding alarm host according to the information in the data, and then send the alarm data to the alarm host through the second communication method. After receiving the alarm data, the alarm host will further process and display it so that the system administrator can understand the abnormal situation in time and take countermeasures.

[0046] As another option of the embodiment of the present application, the cloud server determines the alarm host corresponding to the valve controller according to the alarm data, including: The cloud server analyzes the alarm data and obtains the valve controller's identification; Based on the identification of the valve controller, an alarm host corresponding to the valve controller is determined in a preset database; wherein the preset database includes at least two identifications of the valve controller and alarm host information corresponding to the identifications of the valve controller.

[0047] Specifically, in the process of the cloud server determining the alarm host corresponding to the valve controller based on the alarm data, the cloud server can parse the alarm data, and then obtain the identification of the valve controller, and match the corresponding alarm host in a preset database, wherein the identification of the valve controller is a unique identifier of the valve controller, which is used to distinguish different valve controllers in the system. It can be the serial number, MAC address, and IP address of the device, etc.

[0048] It is understandable that the preset database is a database that stores the correspondence between the valve controller identifier and the alarm host. This database contains at least two valve controller identifiers and their corresponding alarm host information. After parsing the valve controller identifier in the alarm data, the cloud server can search for the alarm host information matching the identifier in the preset database. Once a matching alarm host is found, the cloud server can forward the alarm data to the alarm host so that the system administrator can promptly understand the abnormal situation and take countermeasures.

[0049] Step 104: When the alarm host receives the alarm data, it determines the alarm level according to the alarm data, and sends the alarm information to the staff in a sending method corresponding to the alarm level.

[0050] Specifically, when the alarm host receives alarm data, it can determine the corresponding alarm level according to the alarm data, wherein the alarm level can be divided according to the severity or urgency of the alarm data, for example, divided into low level (such as warning), medium level (such as attention) and high level (such as emergency). The determination of the alarm level is usually based on preset rules or thresholds, which are set according to system requirements and safety standards.

[0051] Furthermore, after determining the alarm level, the alarm information can be sent to the staff through the sending method corresponding to the alarm level, where the sending method refers to the way the alarm host sends the alarm information to the staff. It can be a sound alarm (such as a buzzer, an alarm sound), a visual alarm (such as an indicator light, a screen display), a text message alarm, a telephone alarm, an email alarm, etc. Different sending methods are suitable for different alarm levels and scenarios. For example, a high-level alarm may require the staff to be notified by both sound and visual alarms, while a low-level alarm may only require a screen display or text message notification. Once the alarm host determines the alarm level, the alarm host can send the alarm information to the staff through the corresponding sending method. The alarm information usually contains key information such as the alarm type, timestamp, alarm level, valve controller identification, etc., so that the staff can quickly understand the abnormal situation and take countermeasures.

[0052] As another option of the embodiment of the present application, the wireless monitoring system further includes a remote management module, wherein: The remote management module communicates with the cloud server via a second communication method; The remote management module is used to remotely configure and maintain wireless pressure monitors, valve controllers, and alarm hosts.

[0053] Specifically, the wireless monitoring system may further include a remote management module, which communicates with the cloud server via a second communication method and is used for remotely configuring and maintaining the wireless pressure monitor, valve controller and alarm host.

[0054] It is understood that the remote management module is a special software or hardware component that allows users to configure, monitor and maintain equipment remotely (i.e. not on site). Remote configuration refers to the operation of setting parameters, enabling or disabling functions, etc. on the equipment through the remote management module, and remote maintenance includes maintenance activities such as troubleshooting, software updates, and data backup. In this solution, the remote management module is used to manage key equipment such as wireless pressure monitors, valve controllers, and alarm hosts. Through the remote management module, users can remotely monitor and manage these devices and promptly detect and handle abnormal situations.

[0055] See also Figure 2 , Figure 2 A schematic structural diagram of a wireless monitoring system provided in an embodiment of the present application is shown.

[0056] like Figure 2As shown, the wireless monitoring system includes a wireless pressure monitor, a valve controller, an alarm host and a cloud server, wherein the wireless pressure monitor communicates with the valve controller via 433 wireless communication, and the cloud server communicates with the valve controller and the alarm host respectively via Cat1 wireless communication.

[0057] It should be noted that 433 wireless communication is a radio technology that uses the 433MHz frequency for data transmission. The wavelength of 433MHz wireless communication is longer, the communication distance is longer, and the signal attenuation through the wall is less, so it has strong penetration ability and is suitable for some scenarios that require long-distance communication and penetration of obstacles. . Compared with frequency bands such as 2.4GHz (such as Wi-Fi, Bluetooth) and 5GHz (such as Wi-Fi), the transmission rate of 433MHz is lower, but the cost is more considerable and the power consumption is lower. Cat1 is the LTE network user terminal equipment classification for IoT applications, and its full name is LTE UE-Category 1. In the LTE network, user terminal equipment (UE) is divided into multiple categories to distinguish their performance and capabilities. Cat1, as one of them, has specific data transmission rate and power consumption characteristics. Cat1 wireless communication has the advantages of stable connection quality, wide coverage, moderate data transmission rate and low power consumption. By accessing the LTE network through Cat1, IoT devices can achieve remote control and intelligent linkage, improving the reliability and efficiency of the system.

[0058] See also Figure 3 , Figure 3 A schematic structural diagram of a wireless pipeline pressure monitoring device provided in an embodiment of the present application is shown.

[0059] like Figure 3 As shown, the wireless pipeline pressure monitoring device may include at least a first processing module 301, a second processing module 302, a third processing module 303 and a fourth processing module 304, wherein: The first processing module 301 is used for sending an alarm signal corresponding to the abnormal data to the valve controller through a first communication method when the wireless pressure monitor detects abnormal data, and the valve controller performs a valve cut-off operation according to the alarm signal; The second processing module 302 is used for the valve controller to generate alarm data according to the alarm signal and the valve cut-off operation, and upload the alarm data to the cloud server through the second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; The third processing module 303 is used for the cloud server to determine the alarm host corresponding to the valve controller according to the alarm data, and send the alarm data to the alarm host through the second communication method; The fourth processing module 304 is used to determine the alarm level according to the alarm data when the alarm host receives the alarm data, and send the alarm information to the staff in a sending method corresponding to the alarm level.

[0060] In some possible embodiments, when the wireless pressure monitor detects abnormal data, before sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The first processing module 301 is specifically used for: The wireless pressure monitor collects the pipeline pressure and compares the pipeline pressure value with the preset safety range; When the comparison result is that the value of the pipeline pressure exceeds the preset safety range, abnormal data is generated according to the value of the pipeline pressure.

[0061] In some possible embodiments, after the wireless pressure monitor detects abnormal data and sends an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The second processing module 302 is specifically used for: The wireless pressure monitor uploads the abnormal data to the cloud server through the third communication method for backup to ensure that when the valve controller fails, the cloud server can still receive the abnormal data and take corresponding measures; among which, the third communication method has high data transmission rate and stability.

[0062] In some possible embodiments, after the valve controller performs the valve cutting operation according to the alarm signal, the method further includes: The second processing module 302 is specifically used for: The wireless pressure monitor continues to collect pipeline pressure; When it is detected that the value of the pipeline pressure is within a preset safety range, a recovery signal is sent to the valve controller through the first communication method to control the valve to reopen.

[0063] In some possible embodiments, the valve controller generates alarm data according to the alarm signal and the cut-off valve operation, including: The second processing module 302 is specifically used for: The valve controller switches the working state to the alarm state according to the cut-off valve operation, and obtains the cut-off time and valve number corresponding to the cut-off valve operation; Generate alarm data based on alarm signal, shutoff time and valve number.

[0064] In some possible embodiments, the cloud server determines the alarm host corresponding to the valve controller according to the alarm data, including: The third processing module 303 is specifically used for: The cloud server analyzes the alarm data and obtains the valve controller identification; Based on the identification of the valve controller, an alarm host corresponding to the valve controller is determined in a preset database; wherein the preset database includes at least two identifications of the valve controller and alarm host information corresponding to the identifications of the valve controller.

[0065] In some possible embodiments, the wireless monitoring system further includes a remote management module, wherein: The fourth processing module 304 is specifically used for: The remote management module communicates with the cloud server via a second communication method; The remote management module is used to remotely configure and maintain wireless pressure monitors, valve controllers, and alarm hosts.

[0066] See also Figure 4 , Figure 4 A schematic structural diagram of another wireless pipeline pressure monitoring device provided in an embodiment of the present application is shown.

[0067] like Figure 4 As shown, the wireless pipeline pressure monitoring device 400 may include at least one processor 401 , at least one network interface 404 , a user interface 403 , a memory 405 , and at least one communication bus 402 .

[0068] The communication bus 402 may be used to realize the connection and communication among the above-mentioned components.

[0069] The user interface 403 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0070] The network interface 404 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0071] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect the various parts of the entire wireless pipeline pressure monitoring device 400, and executes various functions and processes data of the wireless pipeline pressure monitoring device 400 by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The processor 401 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 401, and it can be implemented separately through a chip.

[0072] The memory 405 may include a RAM or a ROM. Optionally, the memory 405 includes a non-transitory computer-readable medium. The memory 405 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 405 may optionally be at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a wireless pipeline pressure monitoring application.

[0073] Specifically, the processor 401 may be used to call the wireless pipeline pressure monitoring application stored in the memory 405, and specifically perform the following operations: When the wireless pressure monitor detects abnormal data, an alarm signal corresponding to the abnormal data is sent to the valve controller through the first communication method, and the valve controller performs a valve cut-off operation according to the alarm signal; The valve controller generates alarm data according to the alarm signal and the valve cut-off operation, and uploads the alarm data to the cloud server through the second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; The cloud server determines the alarm host corresponding to the valve controller according to the alarm data, and sends the alarm data to the alarm host through the second communication method; When the alarm host receives the alarm data, it determines the alarm level according to the alarm data and sends the alarm information to the staff through the sending method corresponding to the alarm level.

[0074] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0075] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0076] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0077] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0080] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0081] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0082] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of the implementation scheme of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A wireless pipeline pressure monitoring method, characterized in that: The method is applied to a wireless monitoring system, which includes a wireless pressure monitor, a valve controller, an alarm host and a cloud server. The method includes: When the wireless pressure monitor detects abnormal data, an alarm signal corresponding to the abnormal data is sent to the valve controller through a first communication method, and the valve controller performs a valve cut-off operation according to the alarm signal; The valve controller generates alarm data according to the alarm signal and the shut-off valve operation, and uploads the alarm data to the cloud server via a second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; The cloud server determines an alarm host corresponding to the valve controller according to the alarm data, and sends the alarm data to the alarm host through the second communication method; When the alarm host receives the alarm data, it determines the alarm level according to the alarm data, and sends the alarm information to the staff in a sending mode corresponding to the alarm level.

2. The method according to claim 1, characterized in that Before the wireless pressure monitor detects abnormal data and sends an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The wireless pressure monitor collects pipeline pressure and compares the value of the pipeline pressure with a preset safety range; When the comparison result is that the value of the pipeline pressure exceeds the preset safety range, abnormal data is generated according to the value of the pipeline pressure.

3. The method according to claim 1, characterized in that: When the wireless pressure monitor detects abnormal data, after sending an alarm signal corresponding to the abnormal data to the valve controller through the first communication method, the method further includes: The wireless pressure monitor uploads the abnormal data to the cloud server for backup via a third communication method to ensure that when the valve controller fails, the cloud server can still receive the abnormal data and take corresponding measures; wherein the third communication method has a high data transmission rate and stability.

4. The method according to claim 2, characterized in that: After the valve controller performs the valve cutting operation according to the alarm signal, the method further comprises: The wireless pressure monitor continues to collect pipeline pressure; When it is detected that the value of the pipeline pressure is within the preset safety range, a recovery signal is sent to the valve controller through the first communication method to control the valve to reopen.

5. The method according to claim 1, characterized in that: The valve controller generates alarm data according to the alarm signal and the shut-off valve operation, including: The valve controller switches the working state to the alarm state according to the shut-off valve operation, and obtains the shut-off time and valve number corresponding to the shut-off valve operation; Alarm data is generated based on the alarm signal, the shutoff time, and the valve number.

6. The method according to claim 1, characterized in that The cloud server determines the alarm host corresponding to the valve controller according to the alarm data, including: The cloud server analyzes the alarm data to obtain the identification of the valve controller; Based on the identification of the valve controller, an alarm host corresponding to the valve controller is determined in a preset database; wherein the preset database includes at least two identifications of the valve controller and alarm host information corresponding to the identifications of the valve controller.

7. The method according to claim 1, characterized in that The wireless monitoring system also includes a remote management module, wherein: The remote management module communicates with the cloud server via the second communication method; The remote management module is used to remotely configure and maintain the wireless pressure monitor, the valve controller and the alarm host.

8. A wireless pipeline pressure monitoring device, characterized in that: The device is applied to a wireless monitoring system, which includes a wireless pressure monitor, a valve controller, an alarm host and a cloud server. The device includes: A first processing module, configured to send an alarm signal corresponding to the abnormal data to the valve controller through a first communication method when the wireless pressure monitor detects abnormal data, and the valve controller performs a valve cut-off operation according to the alarm signal; A second processing module, configured to generate alarm data by the valve controller according to the alarm signal and the shut-off valve operation, and upload the alarm data to the cloud server via a second communication method; wherein the frequency band of the first communication method is lower than the frequency band of the second communication method; A third processing module, configured for the cloud server to determine an alarm host corresponding to the valve controller according to the alarm data, and send the alarm data to the alarm host through the second communication method; The fourth processing module is used to determine the alarm level according to the alarm data when the alarm host receives the alarm data, and send the alarm information to the staff in a sending mode corresponding to the alarm level.

9. A wireless pipeline pressure monitoring device, characterized in that: including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 7.

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