Intelligent monitoring system for breather valve, breather valve and management platform

Abstract

The invention relates to the technical field of breather valve monitoring, in particular to a breather valve intelligent monitoring system, a breather valve and a management platform, and the breather valve intelligent monitoring system comprises an acquisition unit which is used for acquiring running state data of the breather valve according to a configurable scanning period T1; the data uploading unit is communicated with the acquisition unit and a server, and the data uploading unit is used for sending the operation state data acquired by the acquisition unit to the server according to a configurable reporting period T2; wherein T1 is smaller than or equal to T2. The acquisition unit and the data uploading unit are matched with each other, so that the whole life cycle monitoring process of the working state of the breather valve can be realized; the energy consumption of the system is reduced by setting a scanning period T1 and a reporting period T2; and a function of early warning when the running state data is abnormal can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of breathing valve monitoring, and in particular to an intelligent breathing valve monitoring system, a breathing valve and a management platform. Background Art

[0002] The breathing valve is a safety device for storage tanks. Its main function is to maintain the air pressure balance inside and outside the tank to prevent the tank from being damaged by overpressure or vacuum. It usually consists of a main body, a valve seat, a valve cover, and two sets of opening and closing devices for pressure and vacuum control. After the installation of the traditional breathing valve, its working status cannot be monitored due to its purely mechanical structural characteristics. This leads to the following pain points of the traditional breathing valve: (1) The operating status is unknown, and only passive protection and lack of real-time monitoring are possible; (2) Safety and environmental protection pain points: the emission volume, emission frequency, and emission time are unknown; (3) Lack of failure warning: Whether the traditional breathing valve is in a failure state generally depends on manual inspection; (4) It does not meet the intelligent needs under the trend of Industry 4.0. The equipment needs to have data and predictive maintenance functions.

[0003] As the industry continues to develop intelligent systems, higher requirements are being placed on breathing valves. The concept of visual breathing valves requires visibility of the frequency and volume of breathing valve movements. At the same time, with increasing emphasis on environmental protection, the environmental impact of breathing valves during operation must be monitored and traceable. In particular, while achieving this monitoring function, energy consumption must be kept to a minimum, meeting energy conservation and emission reduction requirements. Traditional breathing valves are no longer able to meet market demand, necessitating the development of intelligent breathing valves that can monitor their operating status. Summary of the Invention

[0004] Some simplifications or omissions may be made in this section and the abstract and title of the present application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions shall not be used to limit the scope of the invention.

[0005] In order to address the deficiencies in the prior art, one object of the present invention is to provide an intelligent monitoring system for a breathing valve.

[0006] In order to achieve the above objectives, the present invention adopts the following technical solutions: a breathing valve intelligent monitoring system, the monitoring system includes: An acquisition unit, which is used to obtain the operating status data of the breathing valve according to a configurable scanning period T1; and A data uploading unit, which communicates with the acquisition unit and the server, and is used to send the operating status data acquired by the acquisition unit to the server according to a configurable reporting period T2; Among them, T1≤T2.

[0007] As a preferred solution of the breathing valve intelligent monitoring system of the present invention, wherein: the single valve core opening and closing cycle of the breathing valve is T3, then T1<T3.

[0008] As a preferred solution of the breathing valve intelligent monitoring system of the present invention, wherein: the operating status data is at least one of the tank pressure P, proximity switch status A, leakage concentration B, tank temperature t, timestamp, flow rate Q, leakage rate C, cumulative opening times N, cumulative opening time S, valve core opening and closing cycle T3, discharge volume V1 and suction volume V2; The acquisition unit includes at least one measuring device for acquiring the operating status data.

[0009] As a preferred solution of the breathing valve intelligent monitoring system of the present invention, wherein: the operating status data includes basic operating data and measured operating data; The acquisition unit includes at least one measuring device for acquiring the basic operation data, and the measured operation data is obtained by executing a configured calculation formula and / or conversion program on a plurality of basic operation data.

[0010] As a preferred solution of the breathing valve intelligent monitoring system of the present invention, wherein: the basic operating data includes the tank pressure P and the tank temperature t, and the measured operating data includes the flow rate Q, the discharge volume V1 and the valve core opening and closing cycle T3; Then we have: ; ; in, is the storage volume of the tank, It is the pressure difference between the initial absolute pressure P1 and the final absolute pressure P2 in the tank during a single opening of the valve core. is standard atmospheric pressure, is the standard temperature, is the tank temperature.

[0011] As a preferred solution of the breathing valve intelligent monitoring system of the present invention, the monitoring system further includes: a first storage unit, which communicates with the acquisition unit and the data upload unit respectively, and is used to receive and store the operating status data acquired by the acquisition unit; and a power supply unit, configured to supply power to the acquisition unit, the data uploading unit, and the first storage unit; The power supply unit has a power storage module that can be disconnected from the power transmission grid and independently supply power.

[0012] As a preferred solution of the intelligent monitoring system for the breathing valve described in the present invention, where: the total power storage of the power storage module is D, and the power consumption of the monitoring system within one scanning period T1 is D1, then: ; where T is the inspection period of the monitoring system, and is the effective discharge coefficient of the power storage module.

[0013] As a preferred solution of the intelligent monitoring system for the breathing valve described in the present invention, where: each of the operation status data has a configurable data security threshold R1, and the reporting period T2 is configured as: When any of the obtained operation status data exceeds the configured data security threshold R1, immediately initiate the communication between the data upload unit and the server; When any of the obtained operation status data does not exceed the configured data security threshold R1, initiate the communication between the data upload unit and the server at a fixed interval reporting period T2.

[0014] As a preferred solution of the intelligent monitoring system for the breathing valve described in the present invention, where: the data security threshold R1 of the tank pressure P is configured as: P0*a < P0 < P0*b; where P0 is the set pressure value of the breathing valve, a and b are both configurable range coefficients, and 0 < a < 1, 0 < b < 1; the reporting period T2 is configured as: If the obtained tank pressure P satisfies P0 < P < P0*b within 5 consecutive scanning periods T1, or the obtained tank pressure P satisfies P0*a < P < P0 within 5 consecutive scanning periods T1, then immediately initiate the communication between the data upload unit and the server.

[0015] Advantageous effects of an intelligent monitoring system for a breathing valve of the present invention: Through the mutual cooperation between the collection unit and the data upload unit provided in the present invention, the whole life cycle monitoring process of the working state of the breathing valve can be realized; the system energy consumption is reduced by setting the scanning period T1 and the reporting period T2 of data collection; the function of early warning when abnormal can be realized through the operation status data obtained by monitoring.

[0016] To solve the deficiencies of the prior art, another object of the present invention is to provide an intelligent breathing valve.

[0017] To achieve the above object, the present invention adopts the following technical solution: An intelligent breathing valve includes a breathing valve and a monitoring system connected to the breathing valve, Advantageous effects of an intelligent breathing valve of the present invention: The same as the advantageous effects of an intelligent monitoring system for a breathing valve, which will not be elaborated here.

[0018] In order to address the deficiencies of the prior art, another object of the present invention is to provide an intelligent breathing valve management platform.

[0019] In order to achieve the above objectives, the present invention adopts the following technical solutions: an intelligent breathing valve management platform, including several groups of intelligent breathing valves, and also including: The server includes a data receiving unit communicating with the data uploading unit, a second storage unit for receiving and storing the operation status data, and an analysis processing unit for analyzing and processing the operation status data; and a terminal, which establishes communication with the server and includes a display unit for displaying operating status data, and an early warning unit communicating with the analysis and processing unit and the display unit respectively; The early warning unit is used to send warning information to the display unit when the analysis and processing unit determines that the data reaches the alarm threshold R2.

[0020] As a preferred solution of the intelligent breathing valve management platform of the present invention, the analysis and processing unit includes an operation and maintenance module, and the operation and maintenance module is configured as follows: The remaining service life of each component of the breathing valve is estimated based on the accumulated operating status data, and a warning message is sent through the early warning unit when the estimated remaining service life is lower than the set value.

[0021] As a preferred solution of the intelligent breathing valve management platform of the present invention, wherein: the operating status data includes the leakage volume C and the cumulative opening times N of the breathing valve; The operation and maintenance module is configured to: set the critical opening times N0 corresponding to when the leakage amount C of a certain type of breathing valve exceeds the alarm threshold R2, When the cumulative opening times N of the same type of breathing valve reaches the critical opening times N0, a warning message is sent to the display unit through the early warning unit.

[0022] As a preferred solution of the intelligent breathing valve management platform of the present invention, the display unit includes a visual interface provided on a computer terminal and / or a mobile terminal, and the display unit is further configured to: Animation is displayed on the visual interface based on the three-dimensional models of the breathing valve and storage tank and the operating status data of the breathing valve.

[0023] As a preferred solution of the intelligent breathing valve management platform of the present invention, wherein: the server further includes at least one of a fault location module, a permission allocation module and an expansion module; Wherein, the fault location module is configured to locate the fault position when any operating status data of the breathing valve reaches the fault threshold R3; The permission allocation module is configured to allocate different access rights based on the roles and organizational structure of different end users; The expansion module is configured to provide an interface that complies with the MQTT protocol for quickly introducing newly added monitoring systems and / or terminal devices.

[0024] The beneficial effects of the intelligent breathing valve management platform of the present invention: the present invention can realize the functions of expected reminder of the service life of the breathing valve, display of operating status, and impact of emissions on the environment by setting up a server, a terminal and an intelligent breathing valve with a monitoring system; in addition, remote supervision is convenient through terminal display. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a schematic diagram of the structure of the intelligent monitoring system for breathing valves in Examples 1, 2, and 3 of the present invention.

[0027] Figure 2 This is a schematic diagram of the structure of the breathing valve intelligent monitoring system in Example 4 of the present invention.

[0028] Figure 3 This is a schematic diagram of the structure of the breathing valve intelligent monitoring system in Example 5 of the present invention.

[0029] Figure 4 It is a schematic diagram of the three-dimensional structure of the intelligent breathing valve of the present invention.

[0030] Figure 5 This is a schematic diagram of the connection structure of the intelligent breathing valve management platform of the present invention.

[0031] Figure 6 This is a schematic diagram of the composition structure of the intelligent breathing valve management platform in Examples 8, 9, 10, and 11 of the present invention.

[0032] Figure 7 This is a relationship diagram between the cumulative opening times N and the leakage volume C of DN50 breathing valves made of different materials.

[0033] Figure 8 The figure shows the relationship between the cumulative opening times N and the leakage volume C of the DN250 breathing valve made of different materials.

[0034] Figure 9 This is a display diagram of the interface of the intelligent breathing valve management platform of the present invention.

[0035] Figure 10 This is a display diagram of the second interface of the intelligent breathing valve management platform of the present invention.

[0036] Figure 11 This is a schematic diagram of the partial composition structure of the intelligent breathing valve management platform in Example 11 of the present invention.

[0037] In the figure: 100, monitoring system; 101, acquisition unit; 102, data upload unit; 103, first storage unit; 104, power supply unit; 104a, power storage module; R-data, operating status data; 1-data, basic operating data; 2-data, measured operating data; F, breathing valve; M, measuring device; M-1, pressure gauge; M-2, proximity switch; M-3, VOCs sensor; E, storage tank; 200, server; 201, data receiving unit; 202, second storage unit; 203, analysis and processing unit; 203a, operation and maintenance module; 300, terminal; 301, display unit; 302, early warning unit; 400, fault location module; 500, authority allocation module; 600, expansion module. DETAILED DESCRIPTION

[0038] In order to make the objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0039] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0040] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0041] Example 1

[0042] Reference Figure 1 , which is the first embodiment of the present invention, provides an intelligent monitoring system for a breathing valve, which can monitor the working status of the breathing valve F, and includes: an acquisition unit 101 and a data upload unit 102. The acquisition unit 101 is set to obtain the operating status data R-data of the breathing valve F, and the data upload unit 102 transmits the obtained operating status data R-data to the server 200.

[0043] Specifically, the acquisition unit 101 acquires operating status data R-data of the breathing valve F at a configurable scanning period T1. The breathing valve F is installed on the storage tank E to balance the pressure of the storage tank E. The operating status data R-data of the breathing valve F may include any data related to the operation of the breathing valve F and the storage tank E, thereby achieving a monitoring effect.

[0044] Furthermore, the minimum value of the scanning cycle T1 can be set to 0, that is, data collection is performed continuously; and when the scanning cycle T1 value is greater than 0, it is configured to use the interval of T1 as the interval between two adjacent data collections. In the actual monitoring process, not all operating status data R-data need to be collected continuously. Continuous collection will result in an excessive amount of data, generating a large amount of redundant data with no actual reference value, and it will also place a considerable burden on data storage and power consumption. However, the operating status data R-data obtained by configuring a reasonable time interval can still accurately reflect the working status of the breathing valve F, while solving the problems of large data storage volume and high energy consumption.

[0045] Furthermore, the data upload unit 102 communicates with the collection unit 101 and the server 200. The data upload unit 102 is configured to transmit the operating status data R-data acquired by the collection unit 101 to the server 200 according to a configurable reporting period T2. The server 200 is generally configured to store, process, and analyze data. By transmitting the operating status data R-data to the server 200, the data can be analyzed and processed, thereby obtaining information representing the operating status of the breathing valve F from the complex data. Moreover, because the data upload unit 102 and the server 200 can communicate remotely, it is convenient for management personnel to monitor the operating status of the breathing valve F from a distance.

[0046] Among them, T1≤T2. When T1=T2, the data collected by a scan is uploaded to the server 200 immediately. The triggering frequency of this upload strategy is low, and it is generally only necessary to report in time when the collected data is abnormal; in most cases, T1<T2 is preferred. The reporting period T2 is the interval at which the data upload unit 102 sends data to the server 200, and the scanning period T1 is the interval at which the collection unit 101 obtains the data of the breathing valve F. Therefore, only when the scanning period T1 is less than the reporting period T2 can it be ensured that there is at least one scan data in each reporting period T2. Similarly, in order to save energy consumption, under the premise that the monitoring effect is not greatly affected, the reporting period T2 can include multiple scanning periods T1. Each time the data upload unit 102 sends data to the server 200 at an interval of one reporting period T2, it includes all the data obtained in the scanning period T1 contained in one reporting period T2. The data upload unit 102 can remain in a dormant state when not sending data. This not only ensures the integrity of the data upload, but also greatly reduces energy consumption.

[0047] Example 2

[0048] Reference Figure 1 , which is the second embodiment of the present invention. Different from the previous embodiment, in this embodiment, T1<T3.

[0049] Specifically, T3 is a single valve core opening and closing cycle of the breathing valve F. The single valve core opening and closing cycle refers to the duration of the valve core movement of the breathing valve F from the fully open pressure to the return seat pressure state. The entire cycle from the valve core opening to the complete return of the valve core is recorded as one opening number. Therefore, when the scanning cycle T1 is greater than T3, the valve may actually be opened multiple times in one scanning cycle, resulting in an unclear state of the valve core position after which it is opened for which number of times in this scanning cycle. Therefore, after limiting T1 to T3, the position state of the valve core in each scanning cycle can be uniquely confirmed, which can reflect the working status.

[0050] The rest of the structure is the same as that of Example 1.

[0051] Example 3

[0052] Reference Figure 1 This is the third embodiment of the present invention. Different from the previous embodiment, this embodiment provides preferred monitoring items for the operating status data R-data, realizing the monitoring of various operating states of the breathing valve F. The actually selected monitoring items can be optionally set according to needs.

[0053] Specifically, the operating status data R-data is at least one of the following: tank pressure P, proximity switch status A, leakage concentration B, tank temperature t, timestamp, flow rate Q, leakage rate C, cumulative opening times N, cumulative opening time S, valve core opening and closing cycle T3, discharge volume V1, and suction volume V2. Furthermore, the acquisition unit 101 includes at least one measuring device M for acquiring the operating status data R-data.

[0054] Wherein, tank pressure P is the pressure inside tank E, measured in mbar. Under normal circumstances, excessive pressure inside tank E will trigger the opening of breather valve F. The proper functioning of breather valve F can be confirmed by monitoring changes in tank pressure P. A pressure gauge M-1 can be used as the measuring device M for tank pressure P.

[0055] Proximity switch state A indicates the position of the valve core. In this embodiment, proximity switch state A is measured using a proximity switch mounted on the valve core. The proximity switch outputs a digital value, where A values of 0 represent obstruction, 1 represent unobstructed, 2 represent open, and 3 represent short. For example, the detection point of proximity switch M-2 is set at the position of the valve core when it is closed. A value of 0 (obstructed) indicates the valve core is in the current measurement position, i.e., closed. A value of 1 (unobstructed) indicates the valve core is not in the current measurement position and is open.

[0056] Leakage concentration B represents the concentration of a characteristic gas within tank E. This concentration, combined with emission volume V1 and intake volume V2, can be used to determine the total amount of this characteristic gas emitted or inhaled. Leakage concentration B can be measured by the VOCs sensor M-3, a sensor used to detect volatile organic compounds (VOCs) in gases. This sensor can be used to calculate the VOC content in the emitted air, facilitating environmental monitoring.

[0057] Tank temperature t is the temperature inside tank E. To ensure that the measured temperature reflects the actual temperature inside tank E, multiple groups of measurement points can be set up. Each important location can be used as a measurement point to output a separate reading. The overall temperature of tank E can be obtained by averaging the temperature readings from multiple groups of measurement points. The device M for measuring tank temperature t can be a thermometer or other temperature sensor.

[0058] The timestamp can be confirmed by a timer set in the system, and sent synchronously with other operating status data R-data to confirm the time point of data change and the time spent in the entire change process.

[0059] The flow rate Q is used to express the instantaneous flow rate of positive / negative pressure gas, in m³ / h. This is the instantaneous flow rate of gas entering or flowing out of the breathing valve F after the valve is opened. The value of the flow rate Q can be directly measured using some flow valves.

[0060] The leakage volume C indicates the amount of gas leakage when the breathing valve F is closed, and can be used to indicate the sealing performance of the valve. When the leakage volume C is monitored to be too large, it means that the sealing performance of the valve is poor, which may affect its use.

[0061] The cumulative opening times N is used to represent the total number of times the breathing valve F opens and closes over a period of time. One opening and closing cycle of the valve is counted as one opening time. The cumulative opening times N of the breathing valve F is of great significance for studying the service life of the breathing valve F.

[0062] The accumulated opening time S represents the total time that the breathing valve F remains in the non-closed state over a period of time. This accumulated opening time S can be calculated based on the reading of the proximity switch state A and the corresponding timestamp. This can be used to calculate the gas discharge volume V1 or intake volume V2 from the storage tank E. The valve core opening and closing cycle T3 represents the time interval from the valve opening to the valve fully closing.

[0063] The discharge volume V1 and intake volume V2 correspond to the total amount of gas flowing through the air under positive and negative pressure conditions over a period of time, respectively. In this embodiment, both discharge volume V1 and intake volume V2 represent the total amount of gas flowing through the air valve from full opening to full closing. If the concentration of a specific gas is known, the total amount of that gas emitted over a period of time can be calculated using discharge volume V1, which is of great significance for controlling harmful gas emissions and protecting the environment.

[0064] The rest of the structure is the same as that of Example 2.

[0065] Example 4

[0066] Reference Figure 1 、 Figure 2 and Figure 5 This is the fourth embodiment of the present invention. Different from the previous embodiment, this embodiment divides the operating status data R-data into two types: basic operating data 1-data and measured operating data 2-data. The basic operating data 1-data can be obtained only through part of the measuring device M, and then the other measured operating data 2-data can be indirectly calculated, which can reduce the equipment deployment and save costs.

[0067] Specifically, the acquisition unit 101 includes at least one measuring device M for acquiring basic operating data 1-data. The measured operating data 2-data is obtained by executing a configured calculation formula and / or conversion program on a number of items of basic operating data 1-data. The calculation formula can be conventional, or a newly configured calculation formula can be used by configuring a conversion program to ignore the influence of some data.

[0068] In this embodiment, the basic operation data 1-data includes the tank pressure P and the tank temperature t, and the measured operation data 2-data includes the flow rate Q, the discharge rate V1, and the valve core opening and closing cycle T3; In this embodiment, the breathing valve F is used 100m 3 On the storage tank E, the valve design pressure of the breathing valve F is P 00 =1.4kpa (gauge pressure), the valve diameter is DN150, according to the valve characteristics: the full opening pressure P 01 =1.1*P 00 =1.54kpa (gauge pressure), return pressure P 02 =0.85* P 00 =1.19kpa (gauge pressure).

[0069] Based on the above information, calculate the time it takes for the valve core to move from the fully open pressure to the re-seat pressure. The calculation steps are as follows:

[0070] (1) Convert absolute pressure (standard atmospheric pressure) =101.325 kPa): Initial absolute pressure P1 = 1.54 + 101.325 = 102.865 kPa; End absolute pressure P2 = 1.19 + 101.325 = 102.515 kPa; Pressure difference ΔP = P1 − P2 = 0.35 kPa.

[0071] (2) Temperature conversion (Kelvin): The internal temperature of tank E is t = 20 °C = 293.15 K; the standard temperature is t0 = 0 °C = 273.15 K.

[0072] (3) Substitute into the formula (simplified formula for isothermal process):

[0073] Knowing that the flow rate Q of valve diameter DN150 is usually about 900m³ / h, the valve closing time is about The valve core opening and closing cycle T3 is the sum of the valve closing time and the valve opening time. In fact, the above calculation process ignores the support force of a small amount of gas on the valve core during the falling process of the valve core. Therefore, the above calculation The value is smaller than the actual value; the valve opening time is not affected by the additional gas support force, so the opening time will only be Therefore, the valve core opening and closing period T3 is recorded as: ; The T3 value is smaller than the actual value, so when the scanning period T1 is less than T3, it can be guaranteed to be within the actual valve core opening and closing period, meeting the requirements.

[0074] The rest of the structure is the same as that of Example 3.

[0075] Example 5

[0076] Reference Figure 1 - Figure 3 、 Figure 5 , which is the fifth embodiment of the present invention. Different from the previous embodiment, this embodiment provides a first storage unit 103 and a power supply unit 104, which solves the problem of excessive energy consumption during the operation of the monitoring system 100.

[0077] Specifically, the first storage unit 103 communicates with the collection unit 101 and the data upload unit 102, respectively, and is configured to receive and store the operating status data R-data acquired by the collection unit 101. The power supply unit 104 is configured to supply power to the collection unit 101, the data upload unit 102, and the first storage unit 103. By providing a separate first storage unit 103 to temporarily store the operating status data R-data acquired within a reporting period T2, the temporarily stored data within this period is transmitted together with the data transmitted to the server 200. This allows the data upload unit 102 to remain in a dormant state when not transmitting data, thereby reducing power consumption.

[0078] The power supply unit 104 includes a power storage module 104a that can be independently powered from the power grid. The power supply unit 104 can be powered solely by the independent power storage module 104a, or it can be connected to both the grid and the independent power storage module 104a. This allows the monitoring system 100 to continue operating normally during a power outage.

[0079] Preferably, the total storage capacity of the power storage module 104a is D. In this embodiment, the power supply unit 104 is powered only by the independent power storage module 104a. The power consumption of the monitoring system 100 in one scanning cycle T1 is D1, which must meet the following conditions: ; Wherein, T is the inspection period of the monitoring system 100, is the effective discharge coefficient of the power storage module 104a. In this embodiment, the power storage module 104a comprises two 3.6V, 19000mAh batteries. Under the operating condition of a fixed reporting period T2 (T2 = 1 hour in this embodiment), the measured single-scan energy consumption D1 and the theoretical power supply days of the power storage module 104a for different scanning period T1 values are shown in Table 1 below.

[0080] Table 1 Scanning period T1 (s) Energy consumption D1 (mAh) Theoretical days (*safety factor k=0.75) 0.5 9.9 120 1 7.0 170.25 2 5.7 210 3 4.8 249 4 4.4 270 5 4.1 288.75

[0081] In Table 1 above, the safety factor k is set to 0.75. The value of k varies depending on the operating environment. For example, in northern regions or during winter, battery energy decays more rapidly, so this value should be reduced. The energy consumption D1 given in the table is the average energy consumption per scan within a reporting period T2 (taking into account the energy consumption required for each data upload). When T1 is 0.5s, the scan cycles are too frequent, resulting in a high energy consumption D1 value, and the theoretical power supply life of the power storage module 104a is only 120 days. As T1 increases, the single energy consumption D1 value decreases, while the theoretical power supply life of the power storage module 104a increases. When T1 is 5s, the scan cycle interval is longer, resulting in a low energy consumption D1 value, and the theoretical power supply life of the power storage module 104a can reach over 288 days.

[0082] In summary, according to the standard, storage tank E needs to be inspected every six months. Therefore, the theoretical power supply days must be no less than six months to meet the requirement. Taking into account the requirement of T1 < T3 in the aforementioned embodiment, for example, in the usage environment of breathing valve F given in Example 4, T3 is 2.52s. Based on the above, a T1 of 2s is preferred, as it meets the usage duration requirement (210 days > six months) and the requirement of T1 < T3, thus determining this preferred value.

[0083] The rest of the structure is the same as that of Example 4.

[0084] Example 6

[0085] Reference Figure 1 - Figure 3 、 Figure 5 This is the sixth embodiment of the present invention. Different from the previous embodiment, this embodiment provides a data security threshold R1 and formulates a time interval strategy for the reporting period T2 based on it.

[0086] Specifically, each item of operating status data R-data has a configurable data security threshold R1. It's worth noting that the thresholds involved in the present invention can be either a fixed standard value or a fluctuating range of values. This is because the data security threshold is relative to normal operating data, such as the tank temperature t, which is a standard value (or range value) during normal operation. Furthermore, it can be set to multiple levels, with multiple thresholds representing different states. For example, the data security threshold R1 corresponding to the tank temperature t can be a fixed value near the upper or lower limit of the range (a higher security level means that although the data is uploaded according to the settings, it remains within the normal range and only the temperature reaching a certain value is recorded). Alternatively, it can be a fixed value outside the normal range. Once the collected tank temperature t data reaches the data security threshold R1, it is often necessary to upload the data quickly so that management personnel can be notified of any changes in the data in a timely manner. This places requirements on the configuration strategy for the reporting period T2.

[0087] Further, the reporting period T2 is configured as follows: when the change range of any running status data R-data obtained exceeds the configured data security threshold R1, the communication between the data upload unit 102 and the server 200 is immediately initiated. Under this configuration strategy, the data obtained within each scanning period T1 is compared with the data security threshold R1. If the value is exceeded, it indicates that the breathing valve F is operating abnormally, and the communication between the data upload unit 102 and the server 200 should be immediately initiated. It should be noted that the communication method between the data upload unit 102 and the server 200 can adopt wireless communication, such as 4G, 5G, WIFI, Bluetooth and other communication methods. The 4G communication method with good convenience and economy is preferred, which can meet the demand for stable signal transmission over long distances and connecting to the same server 200 from multiple locations.

[0088] Furthermore, the reporting period T2 is configured as follows: when the change range of any running status data R-data obtained does not exceed the configured data security threshold R1, the communication between the data upload unit 102 and the server 200 is initiated at a fixed reporting period T2. Under this configuration strategy, the data obtained within each scanning period T1 is within the normal data range, indicating that the breathing valve F is operating normally and there is no need to immediately upload the data. The data can be uploaded uniformly after multiple scanning periods T1. Preferably, the reporting period T2 at this time is 1h, that is, reporting at the whole hour. When no data is sent, the data upload unit 102 is in a sleep state, which can save energy consumption.

[0089] In this embodiment, taking the data of the monitored tank pressure P as an example. The data security threshold R1 of the tank pressure P is configured as: P0*a < P0 < P0*b; where P0 is the set pressure value of the breathing valve F, that is, the standard value of the tank pressure during normal operation, and a and b are both configurable range coefficients, and 0 < a < 1, 0 < b < 1. The reporting period T2 is configured as: if the obtained tank pressure P satisfies P0 < P < P0*b within 5 consecutive scanning periods T1, or the obtained tank pressure P satisfies P0*a < P < P0 within 5 consecutive scanning periods T1, the communication between the data upload unit 102 and the server 200 is immediately initiated. The scanning period T1 here is preferably 2s, and 5 consecutive scanning periods T1 is the preferred value, that is, 10s. In addition, if the single obtained tank pressure P ≥ P0*b, or P ≤ P0*a, the communication between the data upload unit 102 and the server 200 is immediately initiated to report the data. By configuring the data security threshold R1, the reporting period T2 is divided into different levels of reporting strategies, which can not only ensure that the data with large fluctuations or abnormal data changes can be reported in time, but also meet the requirement of unified reporting at a set interval when the data fluctuations are small or there is no fluctuation.

[0090] The remaining structure is the same as that of Embodiment 5.

[0091] Example 7

[0092] Reference Figure 1 - Figure 5 , which is the seventh embodiment of the present invention, provides an intelligent breathing valve, comprising: a breathing valve F and a monitoring system 100 connected to the breathing valve F. By adding the monitoring system 100 of the above embodiment to a conventional breathing valve F, the operating status can be monitored. The operating data obtained by monitoring can be uploaded to a server 200 for storage and big data analysis, facilitating further functions such as failure warning, service life prediction, and remote data reading for the breathing valve F.

[0093] Example 8

[0094] Reference Figure 1 - Figure 6 , which is the eighth embodiment of the present invention, provides an intelligent breathing valve management platform, which can process the operating status data R-data collected by the intelligent breathing valve, and then provide more functions to facilitate the use of the breathing valve F. It includes several groups of intelligent breathing valves, as well as a server 200 and a terminal 300.

[0095] Specifically, the server 200 includes a data receiving unit 201 that communicates with the data uploading unit 102, a second storage unit 202 for receiving and storing the operating status data R-data, and an analysis and processing unit 203 for analyzing and processing the operating status data R-data. The operating status data R-data collected by the breathing valve F is transmitted to the data receiving unit 201 via the data uploading unit 102. After receiving the data, the data receiving unit 201 sends the data to the second storage unit 202 for storage. The analysis and processing unit 203 can access the data stored in the second storage unit 202 at any time for analysis and processing.

[0096] Furthermore, terminal 300 establishes communication with server 200 and includes a display unit 301 for displaying operating status data R-data, and an early warning unit 302 that communicates with both analysis and processing unit 203 and display unit 301. Terminal 300 corresponds to a supporting display device used by users who need to obtain the operating status of breathing valve F. It includes at least one display unit 301 for displaying the operating status data R-data of breathing valve F. The early warning unit 302 is configured to send an alert to the display unit 301 to alert management personnel when the analysis and processing unit 203 determines that the data has reached the alarm threshold R2.

[0097] The setting logic for alarm threshold R2 is similar to that of data security threshold R1. It can be configured to different levels, and different levels of warning effects can be provided when data corresponds to different levels. For example, for normal-level alarm data, warning unit 302 can only push notifications via SMS, WeChat official account, email, etc.; for important operating status data, such as proximity switch status A, when it reaches a short circuit state and affects subsequent monitoring, warning unit 302 can add vibration, sound, flashing lights, and other enhanced prompts to user terminal 300.

[0098] Example 9

[0099] Reference Figure 1 - Figure 8 、 Figure 10 , which is the ninth embodiment of the present invention, is different from the previous embodiment in that this embodiment provides an operation and maintenance module 203a, which can realize the prediction and reminder of the service life of the breathing valve F. Figure 10 Shown is an interface for data monitoring of the intelligent breathing valve management platform, through which relevant operating data can be queried.

[0100] Specifically, the analysis and processing unit 203 includes an operation and maintenance module 203a. The operation and maintenance module 203a is configured to estimate the remaining useful life of each component of the breathing valve F based on the accumulated operating status data R-data and to send an alert message via the early warning unit 302 when the estimated remaining useful life falls below a set value. Specifically, by analyzing the historical operating data of the same model of breathing valve F, the operating characteristics and maintenance cycles of each component of that model of breathing valve F over its entire life cycle are obtained. The currently acquired operating status data R-data is then compared with the historical operating data to determine the current stage of the breathing valve F within its operating life cycle. This allows for early warning notification to management personnel when a component is nearing its maintenance period.

[0101] In this embodiment, the operating status data R-data includes the leakage amount C and the cumulative opening times N of the breathing valve F; the operation and maintenance module 203a is configured to: set the critical opening times N0 corresponding to when the leakage amount C of a certain model of breathing valve F exceeds the alarm threshold R2, and when the cumulative opening times N of the same model of breathing valve F reaches the critical opening times N0, send a warning message to the display unit 301 through the early warning unit 302.

[0102] The leakage rate C represents the amount of gas flowing through the breathing valve F when it is closed and can be used to indicate the valve's sealing performance. A high leakage rate C indicates poor valve sealing, potentially impacting operation. Valve sealing performance often increases with the cumulative number of valve openings N. This is because each time the valve is opened, the rise and fall of the valve core causes wear on the joints. Therefore, an alarm threshold R2 can be set for the leakage rate C. The cumulative number of breathing valve F openings N corresponding to the threshold R2 exceeding this threshold can be determined based on historical data. When the cumulative number of valve openings for the currently operating breathing valve F reaches this threshold, an alert message is sent. This cumulative number of valve openings is then recorded as the critical number of valve openings N0. The leakage rate C can be directly measured using a dedicated monitoring device or calculated based on the change in tank pressure P during valve closure.

[0103] As shown in Tables 2 and 3 below, they are historical data summary tables of the commonly used DN50 and DN250 models of breathing valves F, respectively.

[0104] Table 2 Cumulative number of times FEP Metal 0 0.00009 0.000132 200 0.000018 0.000078 400 0.000054 0.000012 600 0.00003 0.00018 800 0.000072 0.000228 1000 0.000024 0.00024 1500 0.00027 / 2000 0.000198 0.000192 2500 0.000294 / 3000 0.000306 0.000528 3500 0.00039 / 4000 0.000102 0.00078 4500 0.000108 / 5000 0.000168 0.000156 6000 0.000108 0.000246 7000 0.000084 / 8000 0.000132 0.000246 9000 0.000084 / 10000 0.000114 0.000132 11000 0.000192 / 12000 0.00015 0.000144 13000 0.000132 0.000174 14000 0.000258 0.000198 15000 0.00021 0.000102

[0105] In Table 2, FEP and metal are the materials of the joints of the breathing valve F when the valve is closed. Since different materials have different wear resistance, the above materials are often used in breathing valve F, so the values of the critical opening times N0 of different materials can be explored separately. FEP (perfluoroethylene propylene) are two plastic materials with strong chemical corrosion resistance. In the table, the "Cumulative times" column indicates the cumulative opening times N of the breathing valve F using this material, and the values in the remaining columns indicate the leakage C values measured at different opening times of the corresponding material. The blank data " / " in the table is caused by the different scanning cycles T1 configured when testing the breathing valve F of the corresponding material. For example Figure 7 The figure shows the relationship between the cumulative opening times N and the leakage amount C of the DN50 type breathing valve F of different materials obtained based on the data in Table 2.

[0106] from Figure 7 It can be seen from the figure that when the cumulative opening times N of the DN50 breathing valve F of FEP and metal material reaches 1000 times and 2000 times respectively, the leakage C value will increase significantly. Therefore, 1000 and 2000 can be used as the critical opening times N0 of the DN50 breathing valve F of FEP and metal material respectively, which will remind the management personnel that the leakage C will increase significantly after the cumulative opening times are reached. The management personnel will then consider whether to perform maintenance according to the actual situation. In addition, the cumulative opening times N of the DN50 breathing valve F of FEP and metal material both reach the maximum value when approaching 4000 times, and the maximum leakage C of the two is no more than 0.0004m 3 / h and 0.0008m 3 / h, so it can be selected according to actual needs. If the use environment does not require high leakage volume C (such as less than 0.0004m 3 / h and 0.0008m 3 / h), FEP and metal DN50 breathing valves F can be selected, respectively, to meet requirements and remain virtually maintenance-free over a long lifespan. Here's a data example demonstrating that this monitoring system can collect and analyze real-world usage data from breathing valves F, ultimately achieving service life prediction and effective evaluation of the valves F.

[0107] Table 3 Cumulative number of times FEP Metal (thin) Metal (thick) 0 0.00192 0.00182 0.00196 100 0.00208 0.00190 0.00250 200 0.00176 0.00454 0.00301 400 0.00547 0.00390 0.00533 600 0.00274 0.00300 0.00281 1000 0.00151 0.00479 0.00462 1200 0.00360 0.00405 / 1400 0.00320 / 0.00111 1500 / / 0.00111 2000 0.00318 0.00375 0.00262 2500 0.00382 / 0.00428 3000 0.00346 0.00291 0.00827 3500 0.00243 / 0.00910 4000 0.00402 0.00156 0.01094 4500 0.00184 / 0.01047 5000 0.00328 0.00400 0.00853 5500 0.00155 0.00300 0.03328 6000 0.00400 0.00577 0.05114 6500 0.00577 0.00528 0.01953 7000 0.00788 0.00700 0.02351 8000 0.00684 0.01923 0.04966 9000 0.00495 0.04617 0.04805 10000 0.00890 0.06346 0.08001 11000 0.01315 0.05898 0.11299 12000 0.01690 / 0.09329 13000 0.01111 0.04250 0.09738 14000 / 0.05104 0.16842 15000 0.03408 0.03905 0.14168

[0108] In Table 3, in addition to using commonly used FEP and metal materials as the material for the connection of the DN250 model breathing valve F when the valve is closed, the metal materials are also tested by thickness, and the following results are obtained: Figure 8 The figure shows the relationship between the cumulative opening times N and the leakage amount C of the DN250 type breathing valve F of different materials obtained based on the data in Table 3.

[0109] from Figure 8 It can be seen from the data that the leakage C of the DN250 breathing valve F made of FEP material remains in a small range after a long number of openings; the leakage C of the DN250 breathing valve F made of thin metal material will increase significantly after the cumulative opening number N reaches 8000 times; the leakage C of the DN250 breathing valve F made of thick metal material begins to increase after the cumulative opening number N reaches 5000 times.

[0110] Furthermore, after the cumulative opening times N reached 9,000 and 5,000 for the DN250 breathing valves made of thin metal and thick metal, respectively, the leakage rate C fluctuated significantly with increasing opening times N. Analysis revealed that this fluctuation was caused by wear on the connection surface after repeated openings, creating some "bumps," leading to a more rapid increase in leakage rate C. However, as wear approached the "peak," subsequent wear smoothed out these "bumps," causing leakage rate C to decrease slightly. Continued wear then caused leakage rate C to increase again, and so on, creating a fluctuating range. The fluctuation range for the DN250 breathing valve F made of thick metal was significantly greater than that for the DN250 breathing valve F made of thin metal. Furthermore, the leakage rate C of the thick metal DN250 breathing valve F maintained an overall increase despite these fluctuations. It can be concluded that the expected service life of breathing valves F made of metal materials of different thicknesses is also different. Since there is a lot of operating status data of the breathing valve F and many factors that affect the expected service life, the error in the expected service life and selection obtained after unified data collection and analysis through this monitoring system will be smaller.

[0111] The rest of the structure is the same as that of Example 8.

[0112] In summary, the operation and maintenance module 203a plays a significant role in the selection of the breathing valve F and the estimation of its service life.

[0113] Example 10

[0114] Reference Figure 1 - Figure 10 , which is the tenth embodiment of the present invention. Different from the previous embodiment, this embodiment provides a visual interface that can dynamically display the operating status data R-data collected by the monitoring system 100.

[0115] Specifically, the display unit 301 includes a visualization interface provided on a computer terminal or / and a mobile terminal. The computer terminal refers to a fixedly installed display device, such as a desktop computer, a display screen, etc.; the mobile terminal refers to a display device that can be easily carried, such as a mobile phone, a notebook, etc. The display unit 301 is also configured to: perform animation display on the visualization interface according to the three-dimensional model of the breathing valve F, the storage tank E and the operating status data R-data of the breathing valve F. Figure 9 The figure shows one of the visualization interfaces of the intelligent breathing valve management platform, which can display the changing curves of real-time pressure, real-time flow rate, etc., as well as the status changes of battery power, health status, etc.

[0116] For example, the corresponding storage tank E and breathing valve F are displayed on the visual interface. When the tank pressure P increases, the internal gas expansion is simulated to squeeze the breathing valve F open. At the same time, the valve core movement of the breathing valve F can also be displayed synchronously. The valve core opening and closing cycle T3 can also be simulated based on the monitored data. Other information such as the tank temperature t can also be displayed in real time, and the display color can be changed when it exceeds a set threshold. In short, the combination of the monitoring system 100 and the visual interface makes the display unit 301 more effective and more intelligent.

[0117] The rest of the structure is the same as that of Example 9.

[0118] Example 11

[0119] Reference Figure 1 - Figure 11 , which is the eleventh embodiment of the present invention. Different from the previous embodiment, this embodiment provides multiple optional functional modules to achieve richer functional management.

[0120] Specifically, the server 200 may optionally further include at least one of a fault location module 400 , a permission allocation module 500 , and an expansion module 600 .

[0121] The fault location module 400 is configured to locate the fault when any operating status data R-data of the breathing valve F reaches the fault threshold R3. If the value of the proximity switch state A is "0" or "1" for multiple scan cycles T1, the corresponding fault threshold R3-1 is fed back, which may indicate that the valve opening of the breathing valve F has encountered a fault, and the management personnel can prioritize checking the valve of the breathing valve F. If the value of the proximity switch state A is "2" or "3" for multiple scan cycles T1, the corresponding fault threshold R3-2 is fed back, which may indicate a line fault, and the management personnel can prioritize checking the line.

[0122] The permission allocation module 500 is configured to assign different access rights based on the roles and organizational structure of different terminal 300 users. For example, if different departments only need to understand a portion of the operating status data R-data, the permission allocation module 500 can assign different access rights to the display units 301 of different terminal 300 users, so that the corresponding terminals 300 can only view the data they are allowed to access.

[0123] The expansion module 600 is configured to provide an interface that meets the MQTT protocol for quickly importing newly added smart breathing valves and / or terminal 300 devices. MQTT (Message Queuing Telemetry Transport) is a lightweight message transmission protocol based on the publish / subscribe model. There are three main roles in the MQTT architecture: publisher, broker, and subscriber. The publisher is the client that generates messages, such as the smart breathing valve in this embodiment; the broker serves as an intermediate layer, responsible for receiving messages from the publisher and forwarding these messages to the corresponding subscribers, corresponding to the server 200 in this embodiment; the subscriber is the client that needs to receive messages, and it subscribes to the topic of interest to the broker. When the broker receives a message that meets the topic, it pushes the message to the subscriber, such as the terminal 300 in this embodiment.

[0124] The rest of the structure is the same as that of Example 10.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent monitoring system for breathing valves, characterized by: The monitoring system (100) comprises, An acquisition unit (101) is used to acquire operating status data (R-data) of a breathing valve (F) according to a configurable scanning period T1; and a data uploading unit (102) communicating with the acquisition unit (101) and the server (200), the data uploading unit (102) being configured to send the operating status data (R-data) acquired by the acquisition unit (101) to the server (200) according to a configurable reporting period T2; Among them, T1≤T2.

2. The intelligent monitoring system for breathing valves according to claim 1, characterized in that: The single valve core opening and closing cycle of the breathing valve (F) is T3, and then T1<T3.

3. The intelligent monitoring system for breathing valves according to claim 1 or 2, characterized in that: The operating status data (R-data) is at least one of the following: tank pressure P, proximity switch status A, leakage concentration B, tank temperature t, timestamp, flow rate Q, leakage rate C, cumulative opening times N, cumulative opening time S, valve core opening and closing cycle T3, discharge volume V1, and suction volume V2; The acquisition unit (101) comprises at least one measuring device (M) for acquiring the operating status data (R-data).

4. The intelligent monitoring system for breathing valves according to claim 2, characterized in that: The operating status data (R-data) includes basic operating data (1-data) and measured operating data (2-data); The acquisition unit (101) comprises at least one measuring device (M) for acquiring the basic operating data (1-data), and the measured operating data (2-data) is obtained by executing a configured calculation formula or / and conversion program on a plurality of basic operating data (1-data).

5. The intelligent monitoring system for breathing valves according to claim 4, characterized in that: The basic operation data (1-data) includes the tank pressure P and the tank temperature t, and the measured operation data (2-data) includes the flow rate Q, the discharge volume V1 and the valve core opening and closing cycle T3; Then we have: ; in, is the storage volume of the tank (E), The pressure difference between the initial absolute pressure P1 and the final absolute pressure P2 in the tank (E) during a single opening of the valve core. is standard atmospheric pressure, is the standard temperature, is the tank temperature.

6. The intelligent monitoring system for breathing valves according to claim 1 or 2, characterized in that: The monitoring system (100) further includes, a first storage unit (103), which communicates with the acquisition unit (101) and the data upload unit (102) respectively, and is used to receive and store the operating status data (R-data) acquired by the acquisition unit (101); and a power supply unit (104) configured to supply power to the acquisition unit (101), the data upload unit (102), and the first storage unit (103); The power supply unit (104) has a power storage module (104a) that can be disconnected from the power transmission grid and independently supply power.

7. The intelligent monitoring system for breathing valves according to claim 6, characterized in that: The total storage capacity of the power storage module (104a) is D, and the power consumption of the monitoring system (100) in one scanning cycle T1 is D1, then: ； Where, T is the inspection period of the monitoring system (100), is the effective discharge coefficient of the electricity storage module (104a).

8. The intelligent monitoring system for breathing valves according to any one of claims 1, 2, 4, and 5, characterized in that: Each of the operating status data (R-data) has a configurable data security threshold R1, and the reporting period T2 is configured as follows: When any item of acquired operating status data (R-data) exceeds a configured data security threshold R1, communication between the data uploading unit (102) and the server (200) is immediately initiated; When any of the obtained operation status data (R-data) does not exceed the configured data security threshold R1, the communication between the data upload unit (102) and the server (200) is initiated with a reporting period T2 at a fixed interval.

9. The intelligent monitoring system for breathing valves according to claim 8, characterized in that: The data security threshold R1 for the tank pressure P is configured as: P0*a < P0 < P0*b; where P0 is the set pressure value of the breather valve (F), and a and b are both configurable range coefficients, and 0 < a < 1, 0 < b < 1; the reporting period T2 is configured as: If the obtained tank pressure P satisfies P0 < P < P0*b for 5 consecutive scan periods T1, or the obtained tank pressure P satisfies P0*a < P < P0 for 5 consecutive scan periods T1, then the communication between the data upload unit (102) and the server (200) is immediately initiated.

10. An intelligent breathing valve, characterized by: It includes a breather valve (F) and a monitoring system (100) connected to the breather valve (F).

11. An intelligent breathing valve management platform, characterized by: It includes several groups of intelligent breather valves as described in claim 10, and further includes, A server (200), which includes a data receiving unit (201) communicating with the data upload unit (102), a second storage unit (202) for receiving and storing operation status data (R-data), and an analysis and processing unit (203) for analyzing and processing operation status data (R-data); and, A terminal (300), which establishes communication with the server (200), includes a display unit (301) for displaying operation status data (R-data), and an early warning unit (302) communicating with the analysis and processing unit (203) and the display unit (301) respectively; The early warning unit (302) is used to send a warning message to the display unit (301) when the analysis and processing unit (203) determines that the data reaches the alarm threshold R2.

12. The intelligent breathing valve management platform according to claim 11, characterized in that: The analysis and processing unit (203) includes an operation and maintenance module (203a), and the operation and maintenance module (203a) is configured as: Estimate the remaining service life of each component of the breather valve (F) based on the accumulated obtained operation status data (R-data), and send a warning message through the early warning unit (302) after the estimated remaining service life is lower than the set value.

13. The intelligent breathing valve management platform according to claim 12, characterized in that: The operation status data (R-data) includes the leakage amount C and the cumulative opening times N of the breather valve (F); The operation and maintenance module (203a) is configured as: set a critical opening time N0 corresponding to when the leakage amount C of a certain model of breather valve (F) exceeds the alarm threshold R2, When the cumulative opening times N of the same model of breather valve (F) reaches the critical opening time N0, send a warning message to the display unit (301) through the early warning unit (302).

14. The intelligent breathing valve management platform according to any one of claims 11, 12, and 13, characterized in that: The display unit (301) includes a visual interface provided on the computer side or / and the mobile side, and the display unit (301) is further configured as: Perform an animated display on the visual interface according to the three-dimensional models of the breather valve (F), the storage tank (E), and the operation status data (R-data) of the breather valve (F).

15. The intelligent breathing valve management platform according to any one of claims 11, 12, and 13, characterized in that: The server (200) further includes at least one of a fault location module (400), a rights allocation module (500), and an expansion module (600); Wherein, the fault locating module (400) is configured to locate the fault position when any operating status data (R-data) of the breathing valve (F) reaches a fault threshold value R3; The authority allocation module (500) is configured to allocate different access rights based on the roles and organizational structures of different terminal (300) users; The expansion module (600) is configured to provide an interface that complies with the MQTT protocol for quickly importing newly added intelligent breathing valves and / or terminal (300) devices.

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