阅读说明：本技术 一种温度自适应的振动采集方法 (Temperature self-adaptive vibration acquisition method ) 是由 张�浩 段腾飞 何建武 苏修武 孙丰诚 于 2021-06-09 设计创作，主要内容包括：本发明公开了一种温度自适应的振动采集方法。为了克服现有技术无法兼顾监测数据的时效性的同时提高数据利用率、延长电池续航时间的问题；本发明包括以下步骤：S1：采集额定时间段内正常设备的温度数据,根据温度数据计算判断标准参数；S2：设置若干个振动检测周期区间；S3：按照温度检测周期采集温度数据,获得的温度数据与判断标准进行比较计算,根据比较计算结果判断设备状态所对应的振动检测周期区间；S4：自动生效振动检测周期,进行振动数据的采集。本方案根据温度自动调整振动检测的周期,在兼顾监测数据时效性的同时提高数据利用率、延长电池续航时间。(The invention discloses a temperature self-adaptive vibration acquisition method. The method aims to solve the problems that the prior art can not improve the data utilization rate and prolong the battery endurance while considering the timeliness of the monitoring data; the invention comprises the following steps: s1: collecting temperature data of normal equipment in a rated time period, and calculating a judgment standard parameter according to the temperature data; s2: setting a plurality of vibration detection period intervals; s3: acquiring temperature data according to a temperature detection period, comparing the acquired temperature data with a judgment standard, and judging a vibration detection period interval corresponding to the equipment state according to a comparison calculation result; s4: and (5) automatically taking the vibration detection period into effect, and collecting vibration data. According to the scheme, the vibration detection period is automatically adjusted according to the temperature, the data utilization rate is improved and the battery endurance time is prolonged while the timeliness of monitoring data is considered.)

1. A temperature-adaptive vibration acquisition method is characterized by comprising the following steps:

s1: collecting temperature data of normal equipment in a rated time period, and calculating a judgment standard parameter according to the temperature data;

s2: setting a plurality of vibration detection period intervals, wherein the minimum vibration detection period is a temperature detection period;

s3: acquiring temperature data according to a temperature detection period, comparing the acquired temperature data with a judgment standard, and judging a vibration detection period interval corresponding to the equipment state according to a comparison calculation result;

s4: and (5) automatically taking the vibration detection period into effect, and collecting vibration data.

2. The method for acquiring vibration with adaptive temperature according to claim 1, wherein the step S1 comprises the following steps:

s11: collecting temperature data of normal equipment in a rated time period;

s12: establishing a normal distribution model for the acquired temperature data, and acquiring a mean value mu and a standard deviation sigma from the normal distribution model;

the mean μ and the standard deviation σ were used as judgment standard parameters.

3. The temperature-adaptive vibration collection method according to claim 1 or 2, wherein a temperature detection period is used as a minimum vibration detection period, a maximum vibration detection period is set, a plurality of vibration detection periods are uniformly selected between the minimum vibration period and the maximum vibration period to be used as vibration detection period intervals, and an interval period between each adjacent vibration detection period intervals is calculated.

4. A temperature adaptive vibration acquisition method according to claim 3, wherein said vibration detection cycle interval comprises six vibration detection cycle intervals; interval period Δ t:

Δt＝(T_vmax-T_vmin)/5

wherein, T_vmaxA maximum vibration detection period; t is_vminThe minimum vibration detection period.

5. The method for acquiring vibration with adaptive temperature according to claim 2 or 4, wherein the step S3 comprises the following steps:

s31: acquiring temperature data according to a temperature detection period;

s32: calculating a temperature difference delta temp;

Δtemp＝|temp-μ|

wherein temp is the collected temperature data;

s33: taking an integer of the quotient of the temperature difference delta temp and the standard deviation sigma to obtain a transfer interval omega;

ω＝[Δtemp/μ]

s34: and adaptively determining a vibration detection period on the basis of the temperature detection period according to the transition interval omega.

6. The method according to claim 5, wherein the vibration acquisition system comprises a vibration acquisition unit,

when the transfer interval omega is larger than N-1, the vibration detection period is a temperature detection period;

when the transfer interval omega is less than or equal to N-1, the vibration detection period is as follows:

T_v＝T_temp+(N-1-ω)*Δt

wherein N is the number of vibration detection period intervals;

T_va vibration detection period;

T_tempis a temperature sensing period.

7. The method for collecting vibration with temperature self-adaption according to claim 1 or 2, characterized in that temperature data of equipment in a normal state are collected in the detection process, and judgment standard parameters are calculated and updated.

Technical Field

The invention relates to the field of vibration data acquisition methods, in particular to a temperature self-adaptive vibration acquisition method.

Background

Mechanical equipment plays an important role in the production fields of petrochemical industry, electric power, metallurgy and the like, and the more complex the equipment structure, the higher the possibility of failure. The occurrence of a mechanical failure is a gradual process, and the occurrence of a mechanical failure is often accompanied by changes in conditions such as vibration and temperature. By collecting the vibration and temperature of the equipment, tiny mechanical faults can be discovered by calling an analysis algorithm of the response, so that the predictive maintenance is realized.

In the prior art, vibration and temperature signals are usually collected and uploaded as independent signals, and are uniformly identified and judged by an upper computer or a server, but according to a general timing collection strategy, if the timeliness of fault monitoring is required to be improved, a vibration detection period is required to be shortened, so that excessive energy consumption is caused, the endurance time of a wireless vibration sensor is reduced, and most of data collected during the stable running of equipment is useless data and is finally discarded, so that the generated energy consumption is unnecessary under most conditions. If the vibration detection period is increased, although energy can be saved, the timeliness of fault monitoring is affected, and the problem that mechanical faults cannot be found in time is caused.

In the traditional vibration and temperature sensor acquisition strategy, contradictions exist among prolonging the battery endurance time, improving the data utilization rate and sampling timeliness. The data timeliness can not be guaranteed, the data utilization rate can not be improved, and the battery endurance time can not be prolonged. For example, a "large-scale rotating machine set online status monitoring and fault diagnosis system" disclosed in chinese patent literature, whose publication number CN1091901C, includes a preprocessing board connected with a key phase signal and a fast-changing signal; an intelligent key phase plate for controlling the whole period sampling and a high-speed data acquisition plate for acquiring vibration signals; a low-speed data acquisition board for acquiring slowly varying signals; and the acquisition boards for monitoring the switching value signals are all connected with the lower computer. The method comprises the steps of collecting, monitoring and diagnosing the vibration, displacement and temperature of the unit, process parameters and switching signals.

According to the scheme, the temperature and the vibration are respectively collected, monitored and subjected to fault diagnosis, the timeliness of monitoring data cannot be considered, the data utilization rate is improved, and the battery endurance time is prolonged.

Disclosure of Invention

The invention mainly solves the problems that the prior art can not improve the data utilization rate and prolong the battery endurance while considering the timeliness of the monitoring data; the temperature self-adaptive vibration acquisition method is provided, the equipment temperature is used as a judgment basis for the running state of the equipment, and the vibration detection period is automatically adjusted according to the temperature, so that the data utilization rate is improved and the battery endurance time is prolonged while the timeliness of the monitoring data is considered.

The technical problem of the invention is mainly solved by the following technical scheme:

a temperature-adaptive vibration acquisition method comprises the following steps:

s1: collecting temperature data of normal equipment in a rated time period, and calculating a judgment standard parameter according to the temperature data;

s2: setting a plurality of vibration detection period intervals, wherein the minimum vibration detection period is a temperature detection period;

s3: acquiring temperature data according to a temperature detection period, comparing the acquired temperature data with a judgment standard, and judging a vibration detection period interval corresponding to the equipment state according to a comparison calculation result;

s4: and (5) automatically taking the vibration detection period into effect, and collecting vibration data.

Because the acquisition of the temperature signal in the data acquisition is relatively low in power consumption, the acquisition of the vibration signal is high in power consumption. Therefore, the scheme takes the temperature of the equipment as the judgment basis of the running state of the equipment, and automatically adjusts the vibration detection period according to the temperature. Therefore, intensive vibration detection is carried out on the equipment when the temperature of the equipment is abnormal, and when the temperature of the equipment is in a normal range, the time interval of vibration signal acquisition is properly prolonged to save energy loss of the sensor. According to the scheme, the vibration detection period is adaptively adjusted according to the temperature data, the data utilization rate is improved and the battery endurance time is prolonged while the timeliness of the monitoring data is considered.

Preferably, the step S1 includes the following steps:

s11: collecting temperature data of normal equipment in a rated time period;

s12: establishing a normal distribution model for the acquired temperature data, and acquiring a mean value mu and a standard deviation sigma from the normal distribution model; the mean μ and the standard deviation σ were used as judgment standard parameters.

The mean value mu and the standard deviation sigma are used as judgment standard parameters, and temperature data is compared with the parameters to judge whether the equipment works normally or not from the deviation value.

Preferably, the temperature detection period is used as the minimum vibration detection period, the maximum vibration detection period is set, a plurality of vibration detection periods are uniformly selected between the minimum vibration period and the maximum vibration period to be used as vibration detection period intervals, and the interval period between every two adjacent vibration detection period intervals is calculated.

And partitioning the vibration detection period, wherein the equipment state judged by temperature detection corresponds to different vibration detection period intervals, and different vibration detection periods are adopted.

Preferably, the vibration detection period interval includes six vibration detection period intervals; the interval period Δ t;

Δt＝(T_vmax-T_vmin)/5

wherein, T_vmaxFor maximum vibration detection period, T_vminThe minimum vibration detection period.

Six vibration detection periods are divided, so that the data utilization rate can be improved and the performance of prolonging the battery endurance time can be optimized while the timeliness of the monitoring data is considered.

Preferably, the step S3 includes the following steps:

s31: acquiring temperature data according to a temperature detection period;

s32: calculating a temperature difference delta temp;

Δtemp＝|temp-μ|

wherein temp is the collected temperature data;

s33: taking an integer of the quotient of the temperature difference delta temp and the standard deviation sigma to obtain a transfer interval omega;

ω＝[Δtemp/μ]

s34: and adaptively determining a vibration detection period on the basis of the temperature detection period according to the transition interval omega.

And judging the state of the equipment according to the deviation of the temperature and the standard data, and sequentially and adaptively selecting the interval of the vibration detection period.

Preferably, when the transition interval omega is larger than N-1, the vibration detection period is a temperature detection period;

when the transfer interval omega is less than or equal to N-1, the vibration detection period is as follows:

T_v＝T_temp+(N-1-ω)*Δt

wherein N is the number of vibration detection period intervals;

T_va vibration detection period;

T_tempis a temperature sensing period.

And self-adaptively selecting a vibration detection period according to the value obtained by temperature calculation.

Preferably, temperature data of the equipment in a normal state is collected in the detection process, and the judgment standard parameter is calculated and updated. The judgment process and the judgment result are more accurate and the contingency is reduced by feeding back the continuously optimized judgment standard parameters.

The invention has the beneficial effects that:

1. the vibration detection period is automatically adjusted according to the temperature, the data utilization rate is improved and the battery endurance time is prolonged while the timeliness of the monitoring data is considered.

2. On the basis of meeting the requirements, useless data acquisition is reduced to the maximum extent, and the data processing pressure is reduced.

3. The unnecessary energy loss is effectively reduced, and the endurance time of the wireless vibration sensor is prolonged.

4. The intelligent acquisition of the sensor is realized, the vibration detection period is adjusted in a self-adaptive manner, and excessive manual intervention is not needed.

5. The judgment process and the judgment result are more accurate and the contingency is reduced by feeding back the continuously optimized judgment standard parameters.

Drawings

FIG. 1 is a flow chart of a temperature adaptive vibration acquisition method of the present invention.

Detailed Description

The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.

Example (b):

a temperature adaptive vibration acquisition method of this embodiment, as shown in fig. 1, includes the following steps:

s1: and collecting temperature data of normal equipment in a rated time period, and calculating a judgment standard parameter according to the temperature data.

The judgment standard parameters comprise a mean value mu and a standard deviation sigma of the temperature data collected in the calibration stage.

S11: and collecting temperature data of normal equipment in a rated time period. In this embodiment, the collection rated time is 24 hours.

S12: and establishing a normal distribution model for the acquired temperature data, and acquiring a mean value mu and a standard deviation sigma from the normal distribution model.

S2: and setting a plurality of vibration detection period intervals, wherein the minimum vibration detection period is a temperature detection period.

And taking the temperature detection period as a minimum vibration detection period, setting a maximum vibration detection period, uniformly selecting a plurality of vibration detection periods between the minimum vibration period and the maximum vibration period as vibration detection period intervals, and calculating the interval period between every two adjacent vibration detection period intervals.

In the present embodiment, the vibration detection cycle section includes six vibration detection cycle sections.

Interval period Δ t:

Δt＝(T_vmax-T_vmin)/5

wherein, T_vmaxFor maximum vibration detection period, T_vminThe minimum vibration detection period.

Six vibration detection periods are divided, so that the data utilization rate can be improved and the performance of prolonging the battery endurance time can be optimized while the timeliness of the monitoring data is considered.

S3: and acquiring temperature data according to a temperature detection period, comparing and calculating the acquired temperature data with a judgment standard, and judging a vibration detection period interval corresponding to the equipment state according to a comparison calculation result.

S31: and acquiring temperature data according to a temperature detection period.

S32: calculating a temperature difference delta temp;

Δtemp＝|temp-μ|

where temp is the collected temperature data.

S33: and taking an integer of the quotient of the temperature difference delta temp and the standard deviation sigma to obtain a transition interval omega.

ω＝[Δtemp/μ]

S34: and adaptively determining a vibration detection period on the basis of the temperature detection period according to the transition interval omega.

And when the transfer interval omega is larger than N-1, the vibration detection period is the temperature detection period.

When the transfer interval omega is less than or equal to N-1, the vibration detection period is as follows.

T_v＝T_temp+(N-1-ω)*Δt

Wherein N is the number of vibration detection period intervals; t is_vA vibration detection period; t is_tempIs a temperature sensing period.

S4: and (5) automatically taking the vibration detection period into effect, and collecting vibration data.

And collecting temperature data of the equipment in a normal state in the detection process, and calculating and updating the judgment standard parameters. The judgment process and the judgment result are more accurate and the contingency is reduced by feeding back the continuously optimized judgment standard parameters.

In this embodiment, the collection rated time is set to 24 hours, the temperature monitoring period is set to 30 minutes, and the maximum vibration monitoring period is set to 6 hours.

Taking six vibration detection period intervals as an example, the interval period Δ t is 1.1 hours, 48 temperature points can be collected in 24 hours, and the mean value μ and the standard deviation σ of the 48 temperature points are obtained. Data of mean μ and standard deviation σ were obtained by establishing a normal distribution model.

Assuming that the mean value μ is 25 ℃ and the standard deviation σ is 5 ℃, the collected temperature intervals and the corresponding vibration monitoring periods are shown in table 1:

TABLE 1 correspondence table of collection temperature and vibration detection period

Serial number	Collection temperature (. degree. C.)	Corresponding interval (. degree.C.)	Vibration test period (hours)
				1	26	μ±1σ	6
2	31	μ±2σ	4.9
				3	37	μ±3σ	3.8
4	43	μ±4σ	2.7
				5	47	μ±5σ	1.6
6	52	μ±6σ	0.5
				7	＞55	μ±6σ	0.5

Because the acquisition of the temperature signal in the data acquisition is relatively low in power consumption, the acquisition of the vibration signal is high in power consumption. Therefore, the scheme takes the temperature of the equipment as the judgment basis of the running state of the equipment, and automatically adjusts the vibration detection period according to the temperature. Therefore, intensive vibration detection is carried out on the equipment when the temperature of the equipment is abnormal, and when the temperature of the equipment is in a normal range, the time interval of vibration signal acquisition is properly prolonged to save energy loss of the sensor. According to the scheme, the vibration detection period is adaptively adjusted according to the temperature data, the data utilization rate is improved and the battery endurance time is prolonged while the timeliness of the monitoring data is considered.

It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.