Pipe network equipment vibration monitoring time synchronization method based on WiFi networking

Abstract

The application relates to the technical field of vibration time synchronization, and proposes a pipe network equipment vibration monitoring time synchronization method based on WiFi networking, which comprises the following steps: collecting vibration data, pressure data and cooling water flow rate of a monitoring point of a cooling water pipe network, and counting the packet loss rate of the monitoring point in each cycle; determining the transmission delay eigenvalue of the monitoring point in the cycle, water flow oscillation hysteresis and clock drift significance; and realizing the pipe network equipment vibration monitoring time synchronization based on WiFi networking according to the clock drift significance and water flow oscillation hysteresis of the monitoring point in the same cycle and the collection time of the vibration data collected by a target monitoring point in a target cycle. The application aims to realize the monitoring time synchronization of pipe network equipment vibration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vibration time synchronization, in particular to a vibration monitoring time synchronization method for pipe network equipment based on WiFi networking. BACKGROUND

[0002] The cooling water pipe network system is a key link to help modern industrial manufacturers to dissipate heat and run normally, and improve production efficiency. The vibration detection of the cooling water pipe network helps to find early abnormalities such as loosening, wear or failure of the equipment, prevent equipment damage or system failure caused by excessive vibration, and ensure the safe operation and system stability of the cooling water pipe network system.

[0003] In order to realize the vibration monitoring of the equipment of the cooling water pipe network system, it is generally necessary to synchronize the vibration monitoring time of the pipe network equipment based on WiFi networking according to the NTP network time protocol or other time synchronization mechanism. However, the NTP protocol is easily disturbed by complex environments, resulting in network delay, which makes the time synchronization of the monitoring node invalid, affects the accuracy and real-time performance of the vibration monitoring of the equipment of the cooling water pipe network system, and further leads to inaccurate vibration monitoring results of the pipe network equipment. SUMMARY

[0004] The present application provides a vibration monitoring time synchronization method for pipe network equipment based on WiFi networking to solve the problem that the vibration monitoring of the pipe network equipment is disturbed by complex environments, resulting in invalid time synchronization of the monitoring node, affecting the accuracy and real-time performance of the vibration monitoring results of the pipe network equipment. The technical solution adopted is as follows:

[0005] One embodiment of the present application provides a vibration monitoring time synchronization method for pipe network equipment based on WiFi networking, which comprises the following steps:

[0006] Collecting vibration data, pressure data and cooling water flow rate of each monitoring point of the cooling water pipe network at different collection time points in the same period, and counting the packet loss rate of each monitoring point in each period;

[0007] Regarding any one monitoring point as a target monitoring point, regarding other monitoring points different from the target monitoring point as non-target monitoring points, regarding any one period as a target period, determining the transmission delay characteristic value of the target monitoring point in the target period according to the difference in packet loss rate between the target monitoring point and the non-target monitoring points in the target period, and the difference in phase of the vibration data collected by the target monitoring point and the non-target monitoring points in the target period in the frequency domain;

[0008] The target monitoring point is the first adjacent monitoring point upstream of the cooling water pipe network, recorded as the target upstream monitoring point, and the water flow oscillation lag of the target monitoring point in the same period is determined according to the difference between all cooling water flow rates collected by the target monitoring point and the target upstream monitoring point in the same period, the difference between all pressure data, and the difference between the transmission delay characteristic value.

[0009] The clock drift significance of the target monitoring point in the target period is determined according to the time interval between all collection time points of the vibration data collected by the target monitoring point in the target period and the difference between adjacent phases of the target monitoring point in the target period.

[0010] The clock drift significance of the target monitoring point in the target period and the water flow oscillation lag, and the collection time point of the vibration data collected by the target monitoring point in the target period, are used to realize time synchronization of pipe network equipment vibration monitoring based on WiFi networking.

[0011] Further, the transmission delay characteristic value of the target monitoring point in the target period is determined according to the difference between the packet loss rate of the target monitoring point and the non-target monitoring point in the target period, and the difference in the phase in the frequency domain of the vibration data collected by the target monitoring point and the non-target monitoring point in the target period, and the specific method comprises:

[0012] The average of the ratio of the target monitoring point to all non-target monitoring points in the target period is recorded as the relative loss probability of the target monitoring point in the target period.

[0013] The frequency spectrum of the target monitoring point in the target period is obtained according to the vibration data of the target monitoring point in the target period, and the phase of each frequency is obtained according to the frequency spectrum.

[0014] The transmission delay characteristic value of the target monitoring point in the target period is determined according to the phase difference of the target monitoring point and the non-target monitoring point in the target period, the same frequency, and the relative loss probability.

[0015] Further, the transmission delay characteristic value of the target monitoring point in the target period is determined according to the phase difference of the target monitoring point and the non-target monitoring point in the target period, the same frequency, and the relative loss probability, and the specific method comprises:

[0016] The average of the phase difference of the target monitoring point and the non-target monitoring point in the target period, the same frequency, is recorded as the relative phase difference of the target monitoring point in the target period, and the product of the relative loss probability and the relative phase difference of the target monitoring point in the target period is recorded as the transmission delay characteristic value of the target monitoring point in the target period.

[0017] Further, the difference between the flow rate of the target monitoring point and the flow rate of the target upstream monitoring point, the difference between the pressure data of the target monitoring point and the pressure data of the target upstream monitoring point, and the difference between the transmission delay characteristic values of the target monitoring point and the target upstream monitoring point are used to determine the water flow shock hysteresis of the target monitoring point in the same period.

[0018] The average of the flow rate of the target monitoring point in the target period is recorded as the average flow rate of the target monitoring point in the target period.

[0019] The difference between the average flow rate of the target monitoring point and the average flow rate of the target upstream monitoring point in the same period, and the difference between the transmission delay characteristic values are used to determine the water flow shock hysteresis of the target monitoring point in the same period.

[0020] The average of the pressure data of the target monitoring point in the target period is recorded as the average pressure of the target monitoring point in the target period.

[0021] The difference between the average pressure of the target monitoring point and the average pressure of the target upstream monitoring point in the same period, and the water flow shock hysteresis are used to determine the water flow shock hysteresis of the target monitoring point in the same period.

[0022] Further, the water flow shock hysteresis of the target monitoring point in the same period is determined by the difference between the average flow rate of the target monitoring point and the average flow rate of the target upstream monitoring point in the same period, and the difference between the transmission delay characteristic values.

[0023] The ratio of the average flow rate of the target monitoring point and the average flow rate of the target upstream monitoring point in the target period is recorded as the first ratio of the target monitoring point in the target period.

[0024] The ratio of the transmission delay characteristic values of the target monitoring point and the target upstream monitoring point in the target period is recorded as the second ratio of the target monitoring point in the target period.

[0025] The absolute value of the difference between the first ratio and the second ratio of the target monitoring point in the target period is recorded as the water flow shock hysteresis of the target monitoring point in the target period.

[0026] Further, the water flow shock hysteresis of the target monitoring point in the same period is determined by the difference between the average pressure of the target monitoring point and the average pressure of the target upstream monitoring point in the same period, and the water flow shock hysteresis.

[0027] The ratio of the average pressure of the target upstream monitoring point and the average pressure of the target monitoring point in the target period is recorded as the third ratio of the target monitoring point in the target period.

[0028] The product of the water flow shock hysteresis of the target monitoring point in the target period and the third ratio is recorded as the water flow shock hysteresis of the target monitoring point in the target period.

[0029] Further, the clock drift significance of the target monitoring point in the target period is determined according to the time interval between all collection time points of the vibration data collected by the target monitoring point in the target period and the difference between adjacent phases of the target period, and the specific method comprises:

[0030] The time interval comprehensive deviation of the target monitoring point in the target period is determined according to the time interval between all collection time points of the vibration data collected by the target monitoring point in the target period.

[0031] The absolute value of the difference between adjacent phases of the target monitoring point in the target period is recorded as the adjacent phase difference of the target monitoring point in the target period, the ratio of the maximum value to the average value of all adjacent phase differences of the target monitoring point in the target period is recorded as the fourth ratio of the target monitoring point in the target period, and the product of the time interval comprehensive deviation of the target monitoring point in the target period and the fourth ratio is recorded as the clock drift significance of the target monitoring point in the target period.

[0032] Further, the determination method of the time interval comprehensive deviation comprises:

[0033] Any one of the collection time points of the vibration data collected by the target monitoring point in the target period is recorded as a target collection time point, the time interval between the target collection time point and the adjacent vibration data collection time point before the target collection time point is recorded as the actual time interval of the target collection time point, and the absolute value of the difference between the actual time interval of the target collection time point and the preset collection time interval is recorded as the time interval deviation of the target collection time point.

[0034] The average value of the time interval deviations of all collection time points of the vibration data collected by the target monitoring point in the target period is recorded as the time interval comprehensive deviation of the target monitoring point in the target period.

[0035] Further, the vibration monitoring time synchronization of the pipe network equipment based on the WiFi networking is realized according to the clock drift significance of the target monitoring point in the target period, the water flow oscillation hysteresis, and the collection time point of the vibration data collected by the target monitoring point in the target period, and the specific method comprises:

[0036] The corresponding time point of the network time protocol (NTP) server of the collection time point of the vibration data is recorded as the reference time point of the vibration data, and the time interval between the collection time point of the vibration data and the reference time point is recorded as the collection time point deviation of the vibration data.

[0037] The time deviation adjustment coefficient of the target monitoring point in the target period is determined according to the clock drift significance of the target monitoring point in the target period and the water flow oscillation hysteresis.

[0038] The product of the deviation of the collection time of the vibration data and the time deviation adjustment coefficient of the monitoring point corresponding to the vibration data and the period is recorded as the adjusted deviation of the collection time of the vibration data, the adjusted deviation of the collection time of the vibration data is taken as the time interval between the collection time of the vibration data and the reference time, the corresponding collection time of the vibration data is recalculated, and time synchronization of the collection time of the vibration data is realized.

[0039] Further, the determination method of the time deviation adjustment coefficient is:

[0040] The sum of the normalized value of the clock drift significance of the target monitoring point in the target period and the normalized value of the water flow oscillation hysteresis is recorded as the time deviation adjustment coefficient of the target monitoring point in the target period.

[0041] The beneficial effects of the present application are:

[0042] Firstly, according to the difference between the packet loss rate of the target monitoring point and the packet loss rate of the non-target monitoring point in the target period, and the difference between the phase of the vibration data collected by the target monitoring point and the phase of the vibration data collected by the non-target monitoring point in the target period in the frequency domain, the possibility and significance of the occurrence of transmission delay or network problem of the target monitoring point in the target period are evaluated, and the transmission delay characteristic value of the target monitoring point in the target period is determined; then, considering that the motion state of the water flow in the cooling water pipe network directly affects the vibration characteristics of the cooling water pipe network, the cooling water flow rate of the water flow in the cooling water pipe network is analyzed, so as to better understand the source of vibration and the characteristics of vibration mode, specifically, the water flow oscillation hysteresis of the target monitoring point in the same period is determined, the water flow oscillation hysteresis is used to evaluate the significant degree of the hysteresis of vibration monitoring caused by the pressure change of the water flow in the cooling water pipe network; when the pressure change of the water flow in the cooling water pipe network causes hysteresis of vibration monitoring, clock drift or clock instability will occur, the possibility and significance of the occurrence of clock drift or clock instability are evaluated, the clock drift significance is obtained, and the time deviation caused by clock drift or clock instability is identified and compensated according to the clock drift significance, the water flow oscillation hysteresis, and the collection time of the vibration data collected by the target monitoring point in the target period, time synchronization of pipe network equipment vibration monitoring based on WiFi networking is realized, the problem that vibration monitoring of pipe network equipment is disturbed by complex environment, causing time synchronization of monitoring nodes to fail, affecting the accuracy and real-time performance of pipe network equipment vibration monitoring results is solved, and time synchronization of pipe network equipment vibration monitoring is realized. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only represent some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor under the premise of the drawings.

[0044] Figure 1 A flowchart of a method for time synchronization of pipe network equipment vibration monitoring based on WiFi networking provided by an embodiment of the present application is shown in

[0045] Figure 2 A flowchart of obtaining relative loss probability provided by an embodiment of the present application is shown in DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only represent some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0047] Please refer to Figure 1 which shows a flowchart of a method for time synchronization of pipe network equipment vibration monitoring based on WiFi networking provided by an embodiment of the present application. The method comprises the following steps:

[0048] Step S001, collecting vibration data, pressure data and cooling water flow rate of each monitoring point of the cooling water pipe network at different collection time points in the same period, and counting the packet loss rate of each monitoring point in each period.

[0049] Monitoring points are set in the cooling water pipe network. A speed type vibration sensor, a pressure sensor and a turbine flow sensor are respectively set at each monitoring point of the cooling water pipe network. The vibration data is collected by using the speed type vibration sensor, the pressure data is collected by using the pressure sensor, and the cooling water flow rate is collected by using the turbine flow sensor.

[0050] Preferably, in an embodiment of the present application, the setting position of the monitoring point of the cooling water pipe network is determined by those skilled in the art. The monitoring point position of the cooling water pipe network can include positions such as water pump, valve, pipe turning, etc. In the collection of vibration data, pressure data and cooling water flow rate, the data in this embodiment is collected once every 1 second, and vibration data, pressure data and cooling water flow rate are collected for 10 minutes in each period. In actual application, as other implementation manners, the implementer can determine the sampling frequency and the value of the number of samples in each period according to the actual situation, and the present application does not make special limitation.

[0051] Deploying WiFi network, when collecting vibration data, pressure data and cooling water flow rate of all collection time of each cycle, uploading vibration data, pressure data and cooling water flow rate of all collection time of the cycle through WiFi network, synchronizing pipe network equipment vibration monitoring time according to all uploaded data, i.e. adjusting collection time of each vibration data, ensuring accuracy of time stamp of each kind of data.

[0052] When uploading all data of the same cycle using WiFi network, respectively counting number of successfully uploaded data packets and total number of uploaded data packets, taking difference between total number of uploaded data packets and number of successfully uploaded data packets as number of lost data packets, taking ratio between number of lost data packets and total number of uploaded data packets as packet loss rate of the corresponding cycle.

[0053] Up to now, vibration data, pressure data and cooling water flow rate of each monitoring point of cooling water pipe network at different collection time of each cycle, and packet loss rate of each monitoring point at each cycle are obtained.

[0054] Step S002, taking any one monitoring point as target monitoring point, taking other monitoring points different from the target monitoring point as non-target monitoring points, taking any one cycle as target cycle, determining transmission delay characteristic value of the target monitoring point in the target cycle according to difference between packet loss rate of the target monitoring point and the non-target monitoring points in the target cycle, and difference between phase of vibration data collected by the target monitoring point and the non-target monitoring points in the target cycle in frequency domain.

[0055] Taking any one monitoring point as target monitoring point, taking other monitoring points different from the target monitoring point as non-target monitoring points, taking any one cycle as target cycle.

[0056] Determining relative loss probability of the target monitoring point in the target cycle according to difference between packet loss rate of the target monitoring point and the non-target monitoring points in the target cycle.

[0057] Preferably, as an embodiment of the present application, taking ratio between packet loss rate of the target monitoring point and the non-target monitoring points in the target cycle as packet loss rate ratio of the target monitoring point and the non-target monitoring points in the target cycle, taking average of packet loss rate ratio of the target monitoring point and all non-target monitoring points in the target cycle as relative loss probability of the target monitoring point in the target cycle.

[0058] When the ratio of the packet loss rate of the target monitoring point to the packet loss rate of the non-target monitoring point in the target period is larger, the packet loss rate of the target monitoring point in the target period is relatively larger than that of the non-target monitoring point. Further, when the ratio of the packet loss rate of the target monitoring point to the packet loss rate of all non-target monitoring points in the target period is larger, the relative loss probability of the target monitoring point in the target period is larger, the packet loss rate of the target monitoring point in the target period is relatively larger than that of all non-target monitoring points, the data loss of the target monitoring point in the target period is more serious, and the possibility of transmission delay or network problem of the target monitoring point in the target period is larger.

[0059] The relative loss probability acquisition flowchart is shown in Figure 2

[0060] Further, the transmission delay of the target monitoring point is evaluated by analyzing the frequency domain characteristics of the vibration data of the target monitoring point and the non-target monitoring point in the target period.

[0061] The vibration data of the target monitoring point in the target period is subjected to Fourier transform to obtain a frequency spectrum of the target monitoring point in the target period. According to the frequency spectrum, the phase of each frequency can be obtained.

[0062] Among them, the Fourier transform of the vibration data to obtain the frequency spectrum, and the phase of each frequency according to the frequency spectrum, are all known technologies, and will not be described again. The frequency spectrum of any monitoring point in any period and the phase of each frequency in the frequency spectrum can be obtained by the same method.

[0063] According to the phase difference of the target monitoring point and the non-target monitoring point at the same frequency in the target period, and the relative loss probability, the transmission delay characteristic value of the target monitoring point in the target period is determined.

[0064] The average of the phase difference of the target monitoring point and the non-target monitoring point at all same frequencies in the target period is recorded as the relative phase difference of the target monitoring point in the target period. The product of the relative loss probability of the target monitoring point in the target period and the relative phase difference is recorded as the transmission delay characteristic value of the target monitoring point in the target period.

[0065] When the relative phase difference of the target monitoring point in the target period is larger, the phase delay of the vibration data of the target monitoring point relative to all non-target monitoring points in the target period is more obvious, the possibility of transmission delay or network problem of the target monitoring point in the target period is larger, the performance of transmission delay or network problem of the target monitoring point in the target period is more obvious, and the transmission delay characteristic value of the target monitoring point in the target period is larger.

[0066] The transmission delay characteristic value of any monitoring point in any period can be obtained by the same method.

[0067] ​The transmission delay eigenvalue of each monitoring point in each cycle is obtained.

[0068] In step S003, the first adjacent monitoring point upstream of the target monitoring point in the cooling water pipe network is recorded as a target upstream monitoring point. The water flow oscillation hysteresis of the target monitoring point in the same cycle is determined according to the difference between all cooling water flow rates collected by the target monitoring point and the target upstream monitoring point in the same cycle, the difference between all pressure data, and the difference between the transmission delay eigenvalues.

[0069] Further, the motion state of the water flow inside the cooling water pipe network directly affects the vibration characteristics of the cooling water pipe network. The cooling water flow rate inside the cooling water pipe network is analyzed to better understand the source of vibration and the characteristics of the vibration mode. Specifically, it is analyzed whether the vibration is a dynamic change caused by the water flow itself or a vibration caused by other external factors.

[0070] When the difference between the transmission delay eigenvalues of the two different nodes upstream and downstream of each other is greater, and the difference between the cooling water flow rates of the two different nodes upstream and downstream of each other in the same cycle is greater, the difference between the water flow characteristics of the two different nodes upstream and downstream of each other is greater. The possibility that the water flow characteristics of the two different nodes upstream and downstream of each other are a dynamic change caused by the water flow itself is smaller, and the possibility that the water flow characteristics of the two different nodes upstream and downstream of each other are a vibration caused by other external factors is greater.

[0071] The mean value of all cooling water flow rates collected by the target monitoring point in the target cycle is recorded as the average cooling water flow rate of the target monitoring point in the target cycle.

[0072] The average cooling water flow rate of any monitoring point in any cycle can be obtained in the same way.

[0073] The difference between the average cooling water flow rates of the monitoring points upstream and downstream of each other in the same cycle, and the difference between the transmission delay eigenvalues, are used to determine the cooling water influence degree of the downstream monitoring point among the monitoring points upstream and downstream of each other in the cooling water pipe network in the same cycle.

[0074] The first adjacent monitoring point upstream of the target monitoring point in the cooling water pipe network is recorded as a target upstream monitoring point. The first ratio of the target monitoring point to the target upstream monitoring point in the target cycle is recorded as the first ratio of the target monitoring point in the target cycle. The second ratio of the target monitoring point to the target upstream monitoring point in the target cycle is recorded as the second ratio of the target monitoring point in the target cycle. The absolute value of the difference between the first ratio and the second ratio of the target monitoring point in the target cycle is recorded as the cooling water influence degree of the target monitoring point in the target cycle.

[0075] The greater the cooling water influence degree of the target monitoring point in the target period, the worse the response relationship between the transmission delay of the target monitoring point and the water flow velocity of the target upstream monitoring point, the greater the influence of the cooling water flow condition of the target monitoring point position on the data delay of the target monitoring point position, and the greater the possibility of the target monitoring point in the target period to have transmission delay or network problems.

[0076] Pressure fluctuations of water flow in the cooling water pipe network can cause water flow delay, and pressure fluctuations at a certain position of the water flow do not immediately spread throughout the cooling water pipe network, but cause different monitoring points to have pressure changes and vibration signal time lags at different times, which can cause the actual collection time of data collected at the same time to be out of synchronization.

[0077] The average of all pressure data collected by the target monitoring point in the target period is denoted as the average pressure of the target monitoring point in the target period.

[0078] The average pressure of any monitoring point in any period can be obtained in the same way.

[0079] According to the difference between the average pressures of the upstream and downstream adjacent monitoring points of the cooling water pipe network in the same period and the cooling water influence degree, the water flow oscillation lag of the downstream monitoring point among the upstream and downstream adjacent monitoring points of the cooling water pipe network in the same period is determined.

[0080] The ratio of the average pressures of the target upstream monitoring point and the target monitoring point in the target period is denoted as the third ratio of the target monitoring point in the target period; and the product of the cooling water influence degree of the target monitoring point in the target period and the third ratio is denoted as the water flow oscillation lag of the target monitoring point in the target period.

[0081] The greater the third ratio of the target monitoring point in the target period, the greater the decrease in the average pressure of the target monitoring point relative to the target upstream monitoring point, and the greater the possibility that the position of the pressure data fluctuation of the water flow in the target period is upstream of the target monitoring point. Meanwhile, the greater the cooling water influence degree of the target monitoring point in the target period, the greater the water flow oscillation lag of the target monitoring point in the target period, and the more significant the lag of the vibration monitoring caused by the pressure change of the water flow in the cooling water pipe network.

[0082] The water flow oscillation lag of any monitoring point in any period can be obtained in the same way.

[0083] Thus, the water flow oscillation lag of each monitoring point in each period is obtained.

[0084] Step S004, according to the time interval between all collection time points of the vibration data collected by the target monitoring point in the target period and the difference between adjacent phases of the target monitoring point in the target period, determine the clock drift significance of the target monitoring point in the target period.

[0085] When the pressure change of the water flow in the cooling water pipe network causes a lag in vibration monitoring, clock drift or clock instability will occur, that is, there will be a deviation between the collection time interval of the vibration data of the adjacent collection time points and the preset collection time interval, and this time deviation needs to be identified and compensated.

[0086] Among them, according to the information when collecting vibration data, the preset collection time interval is 1 second.

[0087] Any one of the collection time points of the vibration data collected by the target monitoring point in the target period is recorded as the target collection time point, the time interval between the target collection time point and the adjacent vibration data collection time point before the target collection time point is recorded as the actual time interval of the target collection time point, and the absolute value of the difference between the actual time interval of the target collection time point and the preset collection time interval is recorded as the time interval deviation of the target collection time point.

[0088] According to the same method, the time interval deviation of each collection time point of the vibration data collected by the target monitoring point in the target period can be obtained.

[0089] The average of the time interval deviations of all collection time points of the vibration data collected by the target monitoring point in the target period is recorded as the time interval comprehensive deviation of the target monitoring point in the target period.

[0090] When the time interval comprehensive deviation of the target monitoring point in the target period is greater, the possibility of clock drift or clock instability occurring when collecting vibration data of the target monitoring point in the target period is greater, and the degree of clock drift or clock instability is more significant.

[0091] The absolute value of the difference between the adjacent phases of the target monitoring point in the target period is recorded as the adjacent phase difference of the target monitoring point in the target period, the ratio of the maximum value to the average value of all adjacent phase differences of the target monitoring point in the target period is recorded as the fourth ratio of the target monitoring point in the target period, and the product of the time interval comprehensive deviation of the target monitoring point in the target period and the fourth ratio is recorded as the clock drift significance of the target monitoring point in the target period.

[0092] When the clock drift significance of the target monitoring point in the target period is greater, the possibility of clock drift or clock instability occurring when collecting vibration data of the target monitoring point in the target period is greater, and the degree of clock drift or clock instability is more significant.

[0093] The clock drift significance of any monitoring point in any period can be obtained in the same way.

[0094] Thus, the clock drift significance of each monitoring point in each period is obtained.

[0095] In step S005, the time synchronization of the vibration monitoring of the pipe network equipment based on the WiFi networking is realized according to the clock drift significance of the target monitoring point in the target period, the water flow oscillation hysteresis, and the collection time of the vibration data collected by the target monitoring point in the target period.

[0096] The collection time of the vibration data is recorded as the reference time of the vibration data at the corresponding time of the network time protocol (NTP) server, and the time interval between the collection time of the vibration data and the reference time is recorded as the collection time deviation of the vibration data.

[0097] According to the clock drift significance of the target monitoring point in the target period and the water flow oscillation hysteresis, the time deviation adjustment coefficient of the target monitoring point in the target period is determined.

[0098] The sum of the normalized value of the clock drift significance of the target monitoring point in the target period and the normalized value of the water flow oscillation hysteresis is recorded as the time deviation adjustment coefficient of the target monitoring point in the target period.

[0099] It should be noted that the hyperbolic tangent function is used to calculate the normalized value in this embodiment, and other methods such as the Z-Score standard normalization method, the maximum and minimum value normalization method, and the sigmoid function can be used to calculate the normalized value in actual application, which is not limited herein.

[0100] When the time deviation adjustment coefficient is greater than 1, the lag of the vibration monitoring caused by the change of the water flow pressure of the target monitoring point in the target period is large, and the collection time deviation of the vibration data needs to be increased; when the time deviation adjustment coefficient is less than 1, the lag of the vibration monitoring caused by the change of the water flow pressure of the target monitoring point in the target period is small, and the collection time deviation of the vibration data needs to be reduced.

[0101] The product of the collection time deviation of the vibration data and the time deviation adjustment coefficient of the monitoring point and the period corresponding to the vibration data is recorded as the adjusted collection time deviation of the vibration data, the adjusted collection time deviation of the vibration data is taken as the time interval between the collection time of the vibration data and the reference time, the corresponding collection time of the vibration data is recalculated, and the time synchronization of the collection time of the vibration data is realized.

[0102] Thus, the time synchronization of the vibration monitoring of the pipe network equipment based on the WiFi networking is realized.

[0103] The above description is only the preferred embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims

1. A time synchronization method for vibration monitoring of pipe network equipment based on WiFi networking, characterized in that: The method comprises the following steps: Collect vibration data, pressure data, and cooling water flow rate at each monitoring point in the cooling water network at different collection times in the same cycle, and calculate the packet loss rate of each monitoring point in each cycle; Any monitoring point is recorded as the target monitoring point, and all other monitoring points different from the target monitoring point are recorded as non-target detection points. Any period is recorded as the target period. Based on the difference in packet loss rate between the target monitoring point and the non-target monitoring point in the target period, and the difference in the frequency domain phase of the vibration data collected by the target monitoring point and the non-target monitoring point in the target period, the transmission delay characteristic value of the target monitoring point in the target period is determined. The first adjacent monitoring point upstream of the target monitoring point in the cooling water network is recorded as the target upstream monitoring point. Based on the difference in all cooling water flow rates, all pressure data, and transmission delay characteristic values ​​collected between the target monitoring point and the target upstream monitoring point in the same period, the water flow oscillation hysteresis of the target monitoring point in the same period is determined; Determine the clock drift significance of the target monitoring point in the target period based on the time intervals between all acquisition moments of vibration data acquired by the target monitoring point in the target period and the difference between adjacent phases of the target monitoring point in the target period; Based on the clock drift significance and water flow oscillation hysteresis of the target monitoring point in the target period, as well as the collection time of the vibration data collected by the target monitoring point in the target period, the vibration monitoring time of the pipe network equipment based on WiFi networking is synchronized. The method of determining the transmission delay characteristic value of the target monitoring point in the target period according to the difference in packet loss rate between the target monitoring point and the non-target monitoring point in the target period, and the difference in phase in the frequency domain between the vibration data collected by the target monitoring point and the non-target monitoring point in the target period, includes the following specific methods: The average of the ratios of the packet loss rates of the target monitoring point and all non-target monitoring points in the target period is recorded as the relative loss probability of the target monitoring point in the target period; According to the vibration data of the target monitoring point in the target period, a frequency spectrum of the target monitoring point in the target period is obtained, and according to the frequency spectrum, the phase of each frequency is obtained; According to the phase difference between the target monitoring point and the non-target monitoring point at the same frequency within the target period, and the relative loss probability, the transmission delay characteristic value of the target monitoring point in the target period is determined; The method of determining the transmission delay characteristic value of the target monitoring point in the target period according to the phase difference of the target monitoring point and the non-target monitoring point at the same frequency in the target period and the relative loss probability includes the following specific methods: The average of the phase differences of all the same frequencies between the target monitoring point and the non-target monitoring points in the target period is recorded as the relative phase difference of the target monitoring point in the target period; the product of the relative loss probability of the target monitoring point in the target period and the relative phase difference is recorded as the transmission delay characteristic value of the target monitoring point in the target period.

2. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 1, characterized in that: The method of determining the water flow oscillation hysteresis of the target monitoring point in the same period according to the difference in all cooling water flow rates, the difference in all pressure data, and the difference in transmission delay characteristic values ​​collected at the target monitoring point and the target upstream monitoring point in the same period includes the following specific methods: The average value of all cooling water flow rates collected at the target monitoring point during the target period is recorded as the average cooling water flow rate at the target monitoring point during the target period; Determine the cooling water influence of the target monitoring point in the same period based on the difference between the average cooling water flow rate of the target monitoring point and the target upstream monitoring point in the same period, and the difference between the transmission delay characteristic values; The mean of all pressure data collected at the target monitoring point during the target period is recorded as the average pressure of the target monitoring point during the target period; The water flow oscillation hysteresis of the target monitoring point in the same period is determined based on the difference between the average pressures of the target monitoring point and the target upstream monitoring point in the same period, as well as the cooling water influence.

3. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 2, characterized in that: The method for obtaining the cooling water influence degree is: The ratio of the average flow rate of cooling water at the target monitoring point and the target upstream monitoring point in the target period is recorded as the first ratio of the target monitoring point in the target period; The ratio of the transmission delay characteristic values ​​of the target monitoring point and the target upstream monitoring point in the target period is recorded as the second ratio of the target monitoring point in the target period; The absolute value of the difference between the first ratio and the second ratio of the target monitoring point in the target cycle is recorded as the cooling water influence degree of the target monitoring point in the target cycle.

4. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 3, characterized in that: The method of determining the water flow oscillation hysteresis of the target monitoring point in the same period according to the difference between the average pressures of the target monitoring point and the target upstream monitoring point in the same period and the cooling water influence includes: The ratio of the average pressure of the target upstream monitoring point to the average pressure of the target monitoring point in the target period is recorded as the third ratio of the target monitoring point in the target period; The product of the cooling water influence degree of the target monitoring point in the target period and the third ratio is recorded as the water flow oscillation hysteresis of the target monitoring point in the target period.

5. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 1, characterized in that: The method of determining the clock drift significance of the target monitoring point in the target period according to the time intervals between all collection moments of vibration data collected by the target monitoring point in the target period and the difference between adjacent phases of the target monitoring point in the target period includes the following specific methods: Determine the comprehensive deviation of the time interval of the target monitoring point in the target period according to the time intervals between all collection moments of vibration data collected at the target monitoring point in the target period; The absolute values ​​of the differences between adjacent phases of the target monitoring point in the target period are recorded as the adjacent phase differences of the target monitoring point in the target period, and the ratio of the maximum value to the average value of all adjacent phase differences of the target monitoring point in the target period is recorded as the fourth ratio of the target monitoring point in the target period; The product of the comprehensive deviation of the time interval of the target monitoring point in the target period and the fourth ratio is recorded as the clock drift significance of the target monitoring point in the target period.

6. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 5, characterized in that: The method for determining the comprehensive deviation of the time interval is: Any collection time of vibration data collected by the target monitoring point within the target period is recorded as the target collection time, the time interval between the target collection time and the collection time of the vibration data immediately before the target collection time is recorded as the actual time interval of the target collection time, and the absolute value of the difference between the actual time interval of the target collection time and the preset collection time interval is recorded as the time interval deviation of the target collection time; The average of the time interval deviations of all collection moments of vibration data collected by the target monitoring point within the target period is recorded as the comprehensive time interval deviation of the target monitoring point in the target period.

7. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 1, characterized in that: The method of achieving time synchronization of vibration monitoring of pipe network equipment based on WiFi networking according to the clock drift significance and water flow oscillation hysteresis of the target monitoring point in the target period, as well as the collection time of vibration data collected by the target monitoring point in the target period, includes the following specific methods: The corresponding time of the vibration data collection time on the Network Time Protocol (NTP) server is recorded as the reference time of the vibration data, and the time interval between the vibration data collection time and the reference time is recorded as the vibration data collection time deviation; According to the clock drift significance and water flow oscillation hysteresis of the target monitoring point in the target period, the time deviation adjustment coefficient of the target monitoring point in the target period is determined; The product of the collection time deviation of the vibration data and the time deviation adjustment coefficient of the monitoring point and period corresponding to the vibration data is recorded as the adjusted collection time deviation of the vibration data. The adjusted collection time deviation of the vibration data is used as the time interval between the collection time of the vibration data and the reference time. The corresponding collection time of the vibration data is recalculated to achieve time synchronization of the collection time of the vibration data.

8. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 7, characterized in that: The method for determining the time deviation adjustment coefficient is: The sum of the normalized value of the clock drift significance of the target monitoring point in the target period and the normalized value of the water flow oscillation hysteresis is recorded as the time deviation adjustment coefficient of the target monitoring point in the target period.

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