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

Abstract

The invention relates to the technical field of vibration time synchronization, and provides a pipe network equipment vibration monitoring time synchronization method based on WiFi networking, and the method comprises the steps: collecting vibration data, pressure data and cooling water flow velocity of a monitoring point of a cooling water pipe network, and carrying out the statistics of the packet loss rate of the monitoring point in each period; determining a transmission delay characteristic value, water flow oscillation hysteresis and clock drift saliency of the monitoring point in the period; and according to the clock drift saliency and the water flow oscillation hysteresis of the monitoring point in the same period and the acquisition time of the vibration data acquired by the target monitoring point in the target period, realizing the vibration monitoring time synchronization of the pipe network equipment based on WiFi networking. The invention aims to realize monitoring time synchronization of vibration of the pipe network equipment.

Description

Technical Field

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

[0002] Cooling water pipe networks are a critical component in modern industrial manufacturers' efforts to maintain heat dissipation, maintain normal operation, and improve production efficiency. Vibration monitoring of cooling water pipe networks helps detect early signs of equipment anomalies, such as looseness, wear, or malfunctions. This prevents equipment damage or system failures caused by excessive vibration, ensuring safe operation and system stability.

[0003] To monitor vibrations in cooling water pipe network systems, it's generally necessary to synchronize the vibration monitoring times of Wi-Fi-based pipe network equipment using the NTP network time protocol or other time synchronization mechanisms. However, the NTP protocol is susceptible to interference from complex environments, leading to network delays and time synchronization failures at monitoring nodes. This impacts the accuracy and real-time nature of vibration monitoring in cooling water pipe network systems, resulting in inaccurate vibration monitoring results. Summary of the Invention

[0004] This application provides a method for synchronizing pipe network equipment vibration monitoring time based on WiFi networking to solve the problem that pipe network equipment vibration monitoring is interfered with by complex environments, resulting in failure of time synchronization of monitoring nodes, affecting the accuracy and real-time performance of pipe network equipment vibration monitoring results. The technical solutions adopted are as follows: An embodiment of the present application provides a method for synchronizing vibration monitoring time of pipe network equipment based on WiFi networking, the method comprising 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 pipeline equipment based on WiFi networking is synchronized.

[0005] Furthermore, the transmission delay characteristic value of the target monitoring point in the target period is determined 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 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, including the specific method of: 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.

[0006] Furthermore, the transmission delay characteristic value of the target monitoring point in the target period is determined based on the phase difference and relative loss probability between the target monitoring point and the non-target monitoring point at the same frequency within the target period, including the specific method of: 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.

[0007] Furthermore, the water flow oscillation hysteresis of the target monitoring point in the same period is determined based on the difference in all cooling water flow rates, the difference in all pressure data, and the difference in transmission delay characteristic values ​​collected between the target monitoring point and the target upstream monitoring point in the same period, including the specific method of: 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.

[0008] Furthermore, the cooling water influence degree is obtained by: 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.

[0009] Furthermore, 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, including the specific method of: 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.

[0010] Furthermore, 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.

[0011] Furthermore, 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.

[0012] Furthermore, 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 the vibration data collected by the target monitoring point in the target period, the vibration monitoring time synchronization of the pipe network equipment based on WiFi networking is achieved, including the specific method of: 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.

[0013] Furthermore, the time deviation adjustment coefficient is determined as follows: 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.

[0014] The beneficial effects of this application are: This application first evaluates the possibility and significance of transmission delay or network problem in the target monitoring point in 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 determines the transmission delay characteristic value of the target monitoring point in the target period; then, considering that the movement 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 to better understand the source of vibration and the characteristics of the 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 vibration caused by the pressure change of the water flow in the cooling water pipe network. The significance of the hysteresis of vibration monitoring; when the pressure change of water flow in the cooling water pipe network causes a lag in vibration monitoring, clock drift or clock instability will occur. The possibility and significance of clock drift or clock instability are evaluated to obtain the significance of clock drift. According to the significance of clock drift and the hysteresis of water flow oscillation, as well as the collection time of vibration data collected by the target monitoring point within the target period, the time deviation caused by clock drift or clock instability is identified and compensated, and the vibration monitoring time synchronization of pipe network equipment based on WiFi networking is realized. The vibration monitoring of pipe network equipment is solved, and the problem that the vibration monitoring of pipe network equipment is disturbed by the complex environment, resulting in the failure of time synchronization of monitoring nodes, affecting the accuracy and real-time performance of the vibration monitoring results of pipe network equipment, is solved. The vibration monitoring time synchronization of pipe network equipment is realized. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0016] Figure 1 A schematic flow chart of a method for synchronizing vibration monitoring of pipe network equipment based on WiFi networking according to an embodiment of the present application; Figure 2 A flowchart for obtaining relative loss probability provided by one embodiment of the present application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0018] See also Figure 1 , which shows a flow chart of a method for synchronizing pipe network equipment vibration monitoring based on WiFi networking provided by an embodiment of the present application, the method comprising the following steps: Step S001: collect vibration data, pressure data and cooling water flow rate of 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.

[0019] Monitoring points are set up in the cooling water network. Velocity-type vibration sensors, pressure sensors and turbine flow sensors are set up at each monitoring point in the cooling water network. Velocity-type vibration sensors are used to collect vibration data, pressure sensors are used to collect pressure data, and turbine flow sensors are used to collect cooling water flow rate.

[0020] Preferably, in one embodiment of the present application, the locations of the monitoring points of the cooling water network are determined by those skilled in the art, and the locations of the monitoring points of the cooling water network may include locations such as water pumps, valves, and pipe bends; when collecting vibration data, pressure data, and cooling water flow rate, in this embodiment, vibration data, pressure data, and cooling water flow rate are collected every 1 second, and vibration data, pressure data, and cooling water flow rate are collected for 10 minutes in each cycle. In actual application, as other implementation methods, the implementer can determine the sampling frequency and the number of samples per cycle based on actual conditions, and this application does not impose any special restrictions.

[0021] Deploy a WiFi network. After collecting the vibration data, pressure data, and cooling water flow rate at all collection moments in each cycle, upload the data through the WiFi network. Based on all the uploaded data, synchronize the vibration monitoring time of the pipeline network equipment. That is, adjust the collection time of each vibration data to ensure the accuracy of the timestamp of each type of data.

[0022] When using the WiFi network to upload all data in the same cycle, the number of successfully uploaded data packets and the total number of uploaded data packets are counted respectively. The difference between the total number of uploaded data packets and the number of successfully uploaded data packets is recorded as the number of lost data packets. The ratio of the number of lost data packets to the total number of uploaded data packets is recorded as the packet loss rate of the corresponding cycle.

[0023] At this point, the vibration data, pressure data and cooling water flow rate of each monitoring point in the cooling water network at different collection times in each cycle, as well as the packet loss rate of each monitoring point in each cycle are obtained.

[0024] Step S002: record any monitoring point as the target monitoring point, record all other monitoring points different from the target monitoring point as non-target detection points, record any period as the target period, and determine the transmission delay characteristic value of the target monitoring point in 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, as well as the difference in 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.

[0025] Any monitoring point is recorded as the target monitoring point, other monitoring points different from the target monitoring point are recorded as non-target detection points, and any cycle is recorded as the target cycle.

[0026] According to the difference in packet loss rate between the target monitoring point and the non-target monitoring point in the target period, the relative loss probability of the target monitoring point in the target period is determined.

[0027] Preferably, as an embodiment of the present application, the ratio of the packet loss rate of the target monitoring point to that of the non-target monitoring point in the target period is recorded as the packet loss rate ratio of the target monitoring point to that of the non-target monitoring point in the target period, and the average of the packet loss rate ratios 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.

[0028] When the packet loss rate ratio of the target monitoring point and 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 relative to the non-target monitoring point; further, when the packet loss rate ratio of the target monitoring point and 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 greater, the packet loss rate of the target monitoring point in the target period is relatively larger relative to all other non-target monitoring points, the data loss situation of the target monitoring point in the target period is more serious, and the possibility of transmission delay or network problem in the target monitoring point in the target period is greater.

[0029] The relative loss probability acquisition flow chart is as follows Figure 2 shown.

[0030] Furthermore, the vibration data of the target monitoring point and the non-target monitoring point in the target period are combined to analyze the frequency domain characteristics of the vibration data to evaluate the transmission delay of the target monitoring point.

[0031] Perform Fourier transform on the vibration data of the target monitoring point in the target period to obtain the spectrum of the target monitoring point in the target period. According to the spectrum, the phase of each frequency can be obtained.

[0032] The Fourier transform of the vibration data to obtain a spectrogram, and the phase of each frequency based on the spectrogram, are both well-known techniques and will not be described in detail here. The spectrogram of any monitoring point in any period, as well as the phase of each frequency within the spectrogram, can be obtained using the same method.

[0033] 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.

[0034] 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.

[0035] When the relative phase difference of the target monitoring point in the target period is greater, 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 in the target monitoring point in the target period is greater, and the manifestation of transmission delay or network problem in the target monitoring point in the target period is more significant. At this time, the transmission delay characteristic value of the target monitoring point in the target period is larger.

[0036] The transmission delay characteristic value of any monitoring point in any period can be obtained in the same way.

[0037] At this point, the transmission delay characteristic value of each monitoring point in each cycle is obtained.

[0038] Step S003: 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 differences 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.

[0039] Furthermore, the motion state of the water flow inside the cooling water network directly affects the vibration characteristics of the cooling water network. The cooling water flow rate of the water flow inside the cooling water network is analyzed to better understand the source of the vibration and the characteristics of the vibration mode. Specifically, it is analyzed whether the vibration is caused by dynamic changes brought about by the water flow itself or by other external factors.

[0040] When the difference in the transmission delay characteristic values ​​between two different adjacent nodes upstream and downstream is greater, and the difference in the cooling water flow rate between two different adjacent nodes upstream and downstream in the same period is greater, the difference in the water flow characteristics between two different adjacent node positions upstream and downstream is greater, and the possibility that the water flow characteristics of the two different adjacent nodes upstream and downstream are dynamic changes brought about by the water flow itself is less, and the possibility that the vibration is caused by other external factors is greater.

[0041] The average value of all cooling water flow rates collected at the target monitoring point in the target period is recorded as the average cooling water flow rate at the target monitoring point in the target period.

[0042] The same method can be used to obtain the average cooling water flow rate at any monitoring point in any cycle.

[0043] According to the difference between the average flow rate of cooling water in the same period of adjacent monitoring points upstream and downstream of the cooling water network, and the difference between the transmission delay characteristic values, the cooling water influence of the downstream monitoring points among the adjacent monitoring points upstream and downstream of the cooling water network in the same period is determined.

[0044] The first adjacent monitoring point upstream of the target monitoring point in the cooling water network is recorded as the target upstream monitoring point. The ratio of the average cooling water flow rate of 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 period is recorded as the cooling water influence degree of the target monitoring point in the target period.

[0045] When the cooling water influence of the target monitoring point in the target cycle is greater, the response relationship between the transmission delay and water flow velocity between the target monitoring point and the target upstream monitoring point is worse, the cooling water flow condition at the target monitoring point location has a more significant impact on the data delay at the target monitoring point location, and the target monitoring point is more likely to have transmission delays or network problems in the target cycle.

[0046] The pressure fluctuation of water flow in the cooling water network will cause the water flow to be delayed. The pressure fluctuation of water flow at a certain location will not propagate immediately in the entire cooling water network, but will cause pressure changes and time lag of vibration signals at different monitoring points at different times. The time lag of vibration signals will cause the actual collection time of data that should be collected at the same time to be out of sync.

[0047] 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.

[0048] The same method can be used to obtain the average pressure of any monitoring point in any period.

[0049] According to the difference between the average pressures of the adjacent monitoring points upstream and downstream of the cooling water network in the same period and the cooling water influence, the water flow oscillation hysteresis of the downstream monitoring points in the adjacent monitoring points upstream and downstream of the cooling water network in the same period is determined.

[0050] 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.

[0051] When the third ratio of the target monitoring point in the target cycle is larger, the average pressure of the target monitoring point relative to the target upstream monitoring point decreases, and the possibility that the position of the fluctuation of the water flow pressure data in the target cycle is upstream of the target monitoring point is greater. At the same time, when the cooling water influence of the target monitoring point in the target cycle is greater, the water flow oscillation hysteresis of the target monitoring point in the target cycle is greater. At this time, the hysteresis of vibration monitoring caused by the pressure change of the water flow in the cooling water network is more significant.

[0052] The same method can be used to obtain the hysteresis of water flow oscillation at any monitoring point in any period.

[0053] At this point, the water flow oscillation hysteresis of each monitoring point in each cycle is obtained.

[0054] Step S004: Determine the clock drift significance of the target monitoring point in the target period based on 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.

[0055] When pressure changes in the water flow within the cooling water network cause a lag in vibration monitoring, clock drift or clock instability will occur. That is, the time interval between the vibration data collected at adjacent collection moments will deviate from the preset collection time interval. This time deviation needs to be identified and compensated.

[0056] According to the information when collecting vibration data, the preset collection time interval is 1 second.

[0057] Any collection moment of vibration data collected by the target monitoring point within the target period is recorded as the target collection moment, the time interval between the target collection moment and the collection moment of the previous adjacent vibration data of the target collection moment is recorded as the actual time interval of the target collection moment, and the absolute value of the difference between the actual time interval of the target collection moment and the preset collection time interval is recorded as the time interval deviation of the target collection moment.

[0058] The same method can be used to obtain the time interval deviation of each collection moment of vibration data collected at the target monitoring point within the target period.

[0059] 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.

[0060] When the comprehensive deviation of the time interval of the target monitoring point in the target cycle is greater, the possibility of clock drift or clock instability when collecting vibration data for the target monitoring point within the target cycle is greater, and the degree of clock drift or clock instability is more significant.

[0061] 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.

[0062] When the clock drift significance of the target monitoring point in the target period is greater, the possibility of clock drift or clock instability when collecting vibration data for the target monitoring point in the target period is greater, and the degree of clock drift or clock instability is more significant.

[0063] The same method can be used to obtain the clock drift significance of any monitoring point in any period.

[0064] At this point, the clock drift significance of each monitoring point in each cycle is obtained.

[0065] Step S005: Based on the clock drift significance and water flow oscillation hysteresis of the target monitoring point in the target period, and 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 realized.

[0066] The collection time of the vibration data at the corresponding time of the Network Time Protocol (NTP) server is recorded as the reference time of the vibration data, 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.

[0067] 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.

[0068] 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.

[0069] It should be noted that this embodiment uses the hyperbolic tangent function to calculate the normalized value. In actual application, the implementer can use other existing methods such as the Z-Score standard normalization method, the maximum and minimum value normalization method, the sigmoid function, etc. to calculate the normalized value, which is not limited here.

[0070] When the time deviation adjustment coefficient is greater than 1, the lag of vibration monitoring caused by the change of water flow pressure at the target monitoring point in the target period is large, and the deviation of the collection time of vibration data needs to be increased; when the time deviation adjustment coefficient is less than 1, the lag of vibration monitoring caused by the change of water flow pressure at the target monitoring point in the target period is small, and the deviation of the collection time of vibration data needs to be reduced.

[0071] 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.

[0072] At this point, the vibration monitoring time synchronization of pipeline equipment based on WiFi networking is realized.

[0073] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present application shall be included in the scope of protection 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 pipeline equipment based on WiFi networking is synchronized.

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 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.

3. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 2, characterized in that: 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.

4. 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.

5. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 4, 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.

6. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 5, 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.

7. 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.

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 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.

9. 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.

10. The method for synchronizing pipe network equipment vibration monitoring based on WiFi networking according to claim 1, 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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