Electrical cabinet operation state monitoring method

Abstract

The invention provides an electrical cabinet operation state monitoring method, which belongs to the technical field of mechanical vibration measurement, and comprises the following steps: step 1, collecting vibration data of an electrical cabinet, and calculating a total vibration value RMS; step 2, acquiring an environment temperature value Te and temperature values ti of a plurality of point locations; 3, aligning the RMS, the Te and the ti on a time axis; 4, calculating a total state value; and 5, counting an average value of the historical total state values, comparing the current total state value at the moment with the average value, and judging whether the electrical cabinet has a fault or not. According to the electrical cabinet operation state monitoring method, temperature detection is used for evaluating the heat effect of the equipment, vibration detection is used for revealing the mechanical structure and operation balance of the equipment, and the environment temperature serves as a reference factor. According to the method, the operation state of equipment in the electrical cabinet can be comprehensively reflected by collecting the vibration data of the electrical cabinet and combining the temperature of each point position on the electrical cabinet and the environment temperature.

Description

Technical Field

[0001] The invention belongs to the technical field of mechanical vibration measurement, and in particular relates to a method for monitoring the operating status of an electrical cabinet. Background Art

[0002] Electrical cabinets are an important part of electrical equipment, used to install, protect and centrally manage various types of electrical equipment and their control components. The operation status monitoring of electrical cabinets is an important part of the equipment life cycle management. It can provide data support for the calculation of key indicators such as equipment operation time, equipment life, and trouble-free interval time, thereby effectively strengthening the company's refined management of equipment and reducing the risk of losses caused by unplanned equipment downtime and unplanned production stoppage.

[0003] At present, the operating status monitoring of electrical cabinets mainly has the following problems: 1. Incomplete information: Temperature detection alone cannot fully reflect the operating status of the equipment in the electrical cabinet. Vibration is an important indicator for evaluating the health of the electrical cabinet. Ignoring vibration detection may lead to potential equipment failures being missed.

[0004] 2. Time data cannot be aligned: a) Data inconsistency: Data at different time points cannot be accurately matched, affecting the accuracy and reliability of data analysis. b) Increased difficulty in analysis: Time inconsistency makes the correlation between data complicated, increasing the difficulty and complexity of analysis. c) Misleading decisions: Decisions made based on time-misaligned data may be inaccurate, misleading business judgment and strategy formulation. d) Difficult to compare and interpret: Time inconsistency makes it difficult to compare different data sets, making it difficult to conduct trend analysis, seasonal analysis, and forecasting.

[0005] 3. Inaccurate data collection: The acquisition of temperature values ​​through fixed points is very limited and cannot fully evaluate the maximum temperature value of the electrical cabinet. At the same time, the temperature of the electrical cabinet is related to the ambient temperature. The rise in temperature may be related to the change in ambient temperature. Introducing ambient temperature can reduce the false alarm rate of the electrical cabinet alarm. 4. Fault warning lag: Temperature abnormality is often the result of equipment failure developing to a certain extent, while vibration abnormality may indicate problems inside the equipment earlier. Therefore, relying solely on temperature detection may lead to delayed fault warning, increasing the risk of equipment damage and downtime. Summary of the invention

[0006] In order to solve the technical problem of low accuracy in monitoring the operating status of an existing electrical cabinet, the present invention proposes a method for monitoring the operating status of an electrical cabinet, which can solve the above problem.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions to achieve the above problems: A method for monitoring the operating status of an electrical cabinet, comprising: Step 1: Collect vibration data of the electrical cabinet and calculate the total vibration value RMS; Step 2: Collect the ambient temperature and the temperature of multiple points on the electrical cabinet. ; Step 3: The vibration total value RMS, the ambient temperature value Te and the temperature values ​​of multiple points are Alignment in time axis; Step 4: Calculate the total state value M at the set time, the total state value M = temperature coefficient A × total vibration value RMS, the temperature coefficient A is calculated based on the ambient temperature value TE at the time and the temperature values ​​of multiple points Calculated; Step 5: Calculate the average value of the total state value at the same time on different historical dates, compare the current total state value at the time with the average value, and determine that the electrical cabinet is faulty when the comparison result exceeds a set threshold.

[0008] In some embodiments, in step 4, the temperature coefficient A= , where n represents the number of points.

[0009] In some embodiments, the calculation method of RMS in step 1 is: ; in, Represents the peak value of vibration data in the time domain, a total of m.

[0010] In some embodiments, when it is determined in step five that the electrical cabinet is faulty, the determination is continued for multiple consecutive cycles. If the electrical cabinet is determined to be faulty during the multiple cycles, an alarm prompt is output.

[0011] In some embodiments, step five also includes the step of labeling the electrical cabinet to determine whether it is faulty.

[0012] In some embodiments, step five further includes outputting label information marked with the power-on status of the electrical cabinet, the equipment fault status and the time value, and training the fault model using a classification algorithm based on the label information.

[0013] In some embodiments, step one also includes the step of performing bandpass filtering on the collected vibration data in the time domain.

[0014] In some embodiments, the frequency range of the bandpass filter is 10 Hz-50 Hz.

[0015] In some embodiments, in step 2, an infrared temperature sensor is used to collect the temperature of the area where the electrical cabinet is located, and multiple points are selected from the collected area and the corresponding temperature values ​​are obtained, and the selected point positions include the positions where the power devices are located.

[0016] In some embodiments, the IoT gateway sends synchronization time instructions and data collection instructions to each sensor. The sensor receives the synchronization time instructions for time synchronization and uploads the collected data to the IoT gateway according to the collection instructions. The IoT gateway integrates all the data and sends it to the electrical cabinet system for calculation.

[0017] Compared with the prior art, the advantages and positive effects of the present invention are: the electrical cabinet operation status monitoring method of the present invention utilizes temperature detection to evaluate the thermal effect of the equipment, vibration detection to reveal the mechanical structure and operation balance of the equipment, and ambient temperature as a reference factor. This method can comprehensively reflect the operation status of the equipment in the electrical cabinet by collecting the vibration data of the electrical cabinet, combining the temperature of each point on the electrical cabinet and the ambient temperature.

[0018] Abnormal vibration can usually indicate problems inside the equipment earlier. Combined with temperature and ambient temperature data, a more accurate fault warning mechanism can be formed.

[0019] In addition, the method has low hardware modification cost, and only requires the installation of vibration detection elements and temperature detection elements to achieve parameter collection.

[0020] Other features and advantages of the present invention will become more apparent after reading the detailed description of the embodiments of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of an embodiment of the method for monitoring the operating status of an electrical cabinet proposed by the present invention; Figure 2 is a waveform diagram of vibration data collected from an electrical cabinet in an embodiment of the method for monitoring the operating status of an electrical cabinet proposed by the present invention; Figure 3 yes Figure 2 Waveform after filtering; Figure 4 It is a waveform diagram of the ambient temperature value collected in one embodiment of the electrical cabinet operation status monitoring method proposed by the present invention. DETAILED DESCRIPTION

[0022] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings, which are merely for the convenience of description and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance. In the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0025] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] Embodiment 1: There is an intrinsic relationship between the temperature and vibration of the electrical cabinet, and they influence each other. For example, the influence of temperature on vibration: 1. Thermal expansion and contraction effect: The electrical equipment in the electrical cabinet will generate heat during operation, causing the temperature of the equipment to rise. As the temperature rises, the materials inside the equipment (such as metal parts) will expand and contract, which may change the original size and shape of the equipment. This change in size and shape will directly affect the stability and vibration characteristics of the equipment, and may cause increased vibration. 2. Internal stress changes: Increased temperature will also cause changes in stress inside the equipment. In a high temperature environment, the stress distribution inside the material may become uneven, causing the equipment to generate additional vibration or noise during operation. 3. Aging of insulating materials: The insulating materials in the electrical cabinet are prone to aging at high temperatures, reducing their insulation performance. The aging of insulating materials may cause faults such as partial discharge or short circuit, which are often accompanied by the generation of vibration and noise.

[0027] Impact of vibration on temperature: 1. Increased wear and heat: Vibration will increase the mechanical wear of electrical equipment in the electrical cabinet, resulting in increased friction and resistance inside the equipment. This wear will not only reduce the operating efficiency of the equipment, but also increase additional heat generation, causing the equipment temperature to rise. 2. Impact on heat dissipation: The heat dissipation effect of the electrical cabinet depends largely on its structure and ventilation conditions. Vibration may cause the sealing of the electrical cabinet to deteriorate or the heat dissipation channel to be blocked, thereby affecting the heat dissipation effect of the equipment. Poor heat dissipation will further increase the temperature inside the equipment.

[0028] Based on the above, see Figure 1 As shown, this embodiment proposes a method for monitoring the operating status of an electrical cabinet, including: Step 1: Collect the vibration data of the electrical cabinet and calculate the total vibration value RMS. By installing a vibration sensor on the electrical cabinet, the time domain waveform raw data of the vibration sensor can be uploaded at regular intervals, such as Figure 2 As shown, the horizontal axis represents time, and the vertical axis represents the original vibration data that conforms to the ISO international vibration standard.

[0029] Step 2: Collect the ambient temperature and the temperature of multiple points on the electrical cabinet. .

[0030] Step 3: The total vibration value RMS, the ambient temperature value Te, and the temperature values ​​of multiple points Align in timeline.

[0031] Step 4: Calculate the total state value M at the set time. The total state value M = temperature coefficient A × total vibration value RMS. The temperature coefficient A is calculated based on the ambient temperature value TE at that time and the temperature values ​​of multiple points. Calculated.

[0032] Step 5: Calculate the average value of the total state value at the same time on different historical dates, compare the current total state value at that time with the average value, and determine that the electrical cabinet is faulty when the comparison result exceeds the set threshold.

[0033] The electrical cabinet operation status monitoring method of this embodiment uses temperature detection to evaluate the thermal effect of the equipment, vibration detection to reveal the mechanical structure and operation balance of the equipment, and ambient temperature as a reference factor. This method can fully reflect the operation status of the equipment in the electrical cabinet by collecting vibration data of the electrical cabinet and combining the temperature of each point on the electrical cabinet and the ambient temperature.

[0034] Abnormal temperature is often the result of equipment failure developing to a certain extent, while abnormal vibration can usually indicate problems inside the equipment earlier. Combining temperature and ambient temperature data can form a more accurate fault warning mechanism. Ambient temperature data such as Figure 4 shown.

[0035] In addition, the method has low hardware modification cost, and only requires the installation of vibration detection elements and temperature detection elements to achieve parameter collection.

[0036] The components in the electrical cabinet are distributed in space. If only the temperature of a local point is collected, the acquisition of the temperature value through a fixed point is very limited. In order to solve the problem of inaccurate data collection, it is impossible to fully evaluate the maximum temperature value of the electrical cabinet. Therefore, in some embodiments, in step 4, the temperature coefficient A= , where n represents the number of points.

[0037] This method calculates the temperature coefficient of the electrical cabinet temperature and the ambient temperature, taking into account the inherent relationship between the two, that is, the rise in the electrical cabinet temperature may be related to the change in the ambient temperature. Introducing the ambient temperature can reduce the false alarm rate of the electrical cabinet alarm.

[0038] The temperature coefficient calculated by the above formula can not only reflect the characteristics of infrared temperature changes, but also effectively reduce the impact of ambient temperature changes on infrared temperature measurement results. If the infrared temperature rises but the ambient temperature does not rise, the temperature coefficient will increase. If the infrared temperature rises and the ambient temperature also rises, the temperature coefficient will increase slowly.

[0039] The vibration time domain waveform stores continuous vibration values ​​of the device over a period of time, and multiple values ​​can be calculated into one value through the RMS value. In some embodiments, the calculation method of RMS in step 1 is: .

[0040] in, Represents the peak value of vibration data in the time domain, a total of m.

[0041] RMS is an indicator of vibration intensity, which represents the average power of the vibration signal or the average energy of the vibration over a given period of time.

[0042] In order to prevent misjudgment caused by abnormal data in a single cycle, in some embodiments, when it is judged in step five that the electrical cabinet is faulty, the judgment is continued for multiple consecutive cycles. If the multiple cycles are all judged that the electrical cabinet is faulty, an alarm prompt is output.

[0043] For example, the total status value of the electrical cabinet at the same time when it is turned on for 7 days from T-7 to T is counted. If the current value is compared with the average value of the previous seven days at the same time, if it exceeds 10%, it is considered that the equipment has a fault, and a judgment is made for 3 cycles. If an alarm occurs in all 3 cycles, an output is given. The accuracy of the above judgment equipment at the customer site is above 90%. And with the accumulation of periodic data of the equipment, the tag data gradually increases.

[0044] In some embodiments, step five also includes the step of labeling whether the electrical cabinet is faulty, marking various states, and facilitating classification, calculation, model training, etc. of various data in subsequent steps.

[0045] In some embodiments, step five further includes outputting label information marked with the power-on status of the electrical cabinet, the equipment fault status and the time value, and training the fault model using a classification algorithm based on the label information.

[0046] This method analyzes the data, reduces the original features, and extracts and trains the useful features of the electrical cabinet equipment to achieve the target effect.

[0047] In some embodiments, step one also includes the step of performing bandpass filtering on the collected vibration data in the time domain.

[0048] In some embodiments, the frequency range of the bandpass filter is 10 Hz-50 Hz. Figure 3 As shown, the noise is removed by performing data denoising on the waveform data of the electrical cabinet during operation, and the waveform with a device frequency range of 10HZ-50HZ is obtained by filtering.

[0049] In some embodiments, in step 2, an infrared temperature sensor is used to collect the temperature of the area where the electrical cabinet is located, and multiple points are selected from the collected area and the corresponding temperature values ​​are obtained, and the selected point positions include the positions where the power devices are located.

[0050] In some embodiments, the IoT gateway sends synchronization time instructions and data collection instructions to each sensor. The sensor receives the synchronization time instructions for time synchronization and uploads the collected data to the IoT gateway according to the collection instructions. The IoT gateway integrates all the data and sends it to the electrical cabinet system for calculation.

[0051] This method can be applied after the electrical cabinet is put into operation, and has the advantage of rapid application. The identification of the operating status of the electrical cabinet will be continuously optimized with the accumulation of historical data of the equipment, and the status recognition rate will be increased to more than 99.5%.

[0052] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A method for monitoring the operating status of an electrical cabinet, characterized in that: include: Step 1: Collect vibration data of the electrical cabinet and calculate the total vibration value RMS; Step 2: Collect the ambient temperature and the temperature of multiple points on the electrical cabinet. ; Step 3: The vibration total value RMS, the ambient temperature value Te and the temperature values ​​of multiple points are Align in time axis; Step 4: Calculate the total state value M at the set time, the total state value M = temperature coefficient A × total vibration value RMS, the temperature coefficient A is calculated based on the ambient temperature value TE at the time and the temperature values ​​of multiple points Calculated; Step 5: Count the average of the total state values ​​at the same time on different dates in history, compare the current total state value at that time with the average value, and determine that the electrical cabinet is faulty when the comparison result exceeds a set threshold; In step 4, the temperature coefficient A = , where n represents the number of points; The calculation method of RMS in step 1 is: ; in, Represents the peak value of vibration data in the time domain, a total of m.

2. The method for monitoring the operating status of an electrical cabinet according to claim 1, characterized in that: In step 5, when it is determined that the electrical cabinet is faulty, the judgment is continued for multiple consecutive cycles. If the electrical cabinet is determined to be faulty during the multiple cycles, an alarm prompt is output.

3. The method for monitoring the operating status of an electrical cabinet according to claim 1, characterized in that: Step five also includes the step of labeling the electrical cabinet to determine whether it is faulty.

4. The method for monitoring the operating status of an electrical cabinet according to claim 3, characterized in that: After step five, the method also includes outputting label information marked with the power-on status of the electrical cabinet, the fault status of the equipment and the time value, and training the fault model using a classification algorithm based on the label information.

5. The method for monitoring the operating status of an electrical cabinet according to claim 1, characterized in that: Step one also includes the step of performing bandpass filtering on the collected vibration data in the time domain.

6. The method for monitoring the operating status of an electrical cabinet according to claim 5, characterized in that: The frequency range of the bandpass filter is 10HZ-50HZ.

7. The method for monitoring the operating status of an electrical cabinet according to claim 1, characterized in that: In step 2, an infrared temperature sensor is used to collect the temperature of the area where the electrical cabinet is located, and multiple points are selected from the collected area to obtain corresponding temperature values. The selected point positions include the positions where the power devices are located.

8. The method for monitoring the operating status of an electrical cabinet according to claim 1, characterized in that: The IoT gateway sends synchronization time instructions and data collection instructions to each sensor. The sensor receives the synchronization time instructions for time synchronization and uploads the collected data to the IoT gateway according to the collection instructions. The IoT gateway integrates all the data and sends it to the electrical cabinet system for calculation.

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