Power plant equipment signal monitoring method and device, electronic device, and medium

Abstract

The application relates to the technical field of power plants, in particular to a power plant equipment signal monitoring method and device, electronic equipment and a medium. The power plant equipment signal monitoring method needs to align the collection reference time of electrical equipment and mechanical equipment; in the process of executing work of the electrical equipment, an electrical monitoring unit is controlled to collect electrical equipment signals; in the process of executing work of the mechanical equipment, a mechanical monitoring unit is controlled to collect mechanical equipment signals; the electrical collection time and the mechanical collection time corresponding to each collection time sequence are determined; the time offset value of each collection time sequence is calculated in sequence; based on the time offset value corresponding to each collection time sequence, the deviation correction factor corresponding to each collection time sequence is determined; based on the deviation correction factor corresponding to each collection time sequence, the time stamp alignment operation of the electrical time stamp information and the mechanical time stamp information is performed at each collection time sequence. That is, the synchronous collection and monitoring of the electrical and mechanical data of the motor can be realized in the environment without a communication network.

Description

Technical Field

[0001] This application relates to the field of power plant technology, and in particular to a method and device for monitoring power plant equipment signals, electronic equipment, and media. Background Technology

[0002] Because electrical and mechanical signal sampling uses different equipment in power plants, the clock pulses built into these devices also differ. This difference causes the electrical and mechanical signals to be out of sync after sampling. Since motor monitoring data is mostly high-frequency signals, accumulated errors can lead to phase deviations. If these deviations are not corrected, they will severely impact subsequent joint data analysis, affecting the accurate assessment of the motor's operating status.

[0003] In the early stages of project construction, the plant's network communication may be inadequate, lacking an integrated online monitoring platform for electrical and mechanical signals, as well as wireless network signals. Without a network, existing monitoring equipment cannot simultaneously acquire electrical and mechanical signals. Due to the incomplete equipment and lack of an effective monitoring platform, electrical and mechanical monitoring data cannot be effectively integrated, hindering joint analysis. In this situation, even if a large amount of data is collected, it cannot be fully utilized to make a comprehensive and accurate assessment of the motor's operating status. Therefore, how to achieve synchronous acquisition and monitoring of motor electrical and mechanical data in an environment without a communication network has become an urgent problem to be solved. Summary of the Invention

[0004] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method, device, electronic equipment, and medium for monitoring signals of power plant equipment, which can realize the synchronous acquisition and monitoring of electrical and mechanical monitoring data of electric motors in an environment without a communication network.

[0005] The power plant equipment signal monitoring method according to the first aspect of this application includes:

[0006] A reference time synchronization operation is performed on the electrical and mechanical equipment in the target power plant to align the data acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit and the mechanical equipment is equipped with a mechanical monitoring unit;

[0007] During the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information;

[0008] During the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information;

[0009] After obtaining the electrical equipment signal and the mechanical equipment signal, the electrical acquisition time and the mechanical acquisition time corresponding to each acquisition sequence are determined based on the electrical timestamp information and the mechanical timestamp information.

[0010] For each of the aforementioned acquisition timing sequences, the time offset value between the electrical acquisition time and the mechanical acquisition time is calculated sequentially;

[0011] Based on the time offset value corresponding to each acquisition time sequence, a deviation correction factor corresponding to each acquisition time sequence is determined;

[0012] Based on the deviation correction factor corresponding to each acquisition time sequence, a timestamp alignment operation is performed on the electrical timestamp information and the mechanical timestamp information in each acquisition time sequence.

[0013] According to some embodiments of this application, determining the deviation correction factor corresponding to each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence includes:

[0014] Based on each acquisition time sequence and the time offset value corresponding to each acquisition time sequence, offset value vector mapping data is established; wherein, the offset value vector mapping data is used to reflect the relationship between the time offset value and the acquisition time sequence.

[0015] Based on the offset value vector mapping data, the vector change rate is calculated to determine the offset value change rate corresponding to each of the acquisition time sequences;

[0016] Based on the rate of change of the offset value of each acquisition time sequence, configure the deviation correction factor corresponding to each acquisition time sequence.

[0017] According to some embodiments of this application, configuring the deviation correction factor corresponding to each acquisition time sequence based on the rate of change of the offset value of each acquisition time sequence includes:

[0018] Abrupt change is calculated based on the rate of change of the offset value in each of the aforementioned acquisition time sequences;

[0019] In response to the determination of a sudden change in the rate of change of the offset value during the mutation calculation, the offset value vector mapping data is sliced ​​based on the acquisition time series where the mutation occurred to obtain offset value slice data; wherein, the offset value slice data contains multiple offset value sub-data, and each offset value sub-data corresponds to one acquisition time series;

[0020] Calculate the acquisition deviation ratio corresponding to the offset slice data;

[0021] Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value slice data.

[0022] According to some embodiments of this application, calculating the acquisition deviation ratio corresponding to the offset slice data includes:

[0023] Obtain the mutation occurrence time sequence corresponding to the offset value slice data;

[0024] A first offset parameter is determined based on the mutation occurrence time sequence; wherein, the first offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the mutation occurrence time sequence;

[0025] Based on the mutation occurrence time sequence corresponding to the previous acquisition time sequence, a corresponding second offset parameter is determined; wherein, the second offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the previous acquisition time sequence corresponding to the mutation occurrence time sequence;

[0026] Based on the first offset parameter and the second offset parameter, the acquisition deviation ratio corresponding to the offset value slice data is calculated.

[0027] According to some embodiments of this application, the step of calculating the acquisition deviation ratio corresponding to the offset value slice data based on the first offset parameter and the second offset parameter includes:

[0028] The acquisition deviation ratio is obtained by performing quotient processing based on the first offset parameter and the second offset parameter.

[0029] According to some embodiments of this application, the abrupt change calculation based on the rate of change of the offset value of each of the acquisition time series includes:

[0030] Based on the time offset value corresponding to each of the acquisition time sequences, the cumulative total offset value is determined; wherein, the number of acquisition time sequences is a second number;

[0031] Based on the cumulative total offset value and the second number, the mutation definition conditions are set;

[0032] In response to the existence of a rate of change of the offset value satisfying the mutation definition condition, it is determined that the corresponding rate of change of the offset value has undergone a mutation.

[0033] According to some embodiments of this application, determining that a sudden change in the corresponding rate of change of the offset value has occurred in response to the existence of a rate of change of the offset value satisfying the abrupt change definition condition includes:

[0034] Based on the cumulative total offset value and the second number, the mutation boundary value is calculated;

[0035] The rate of change of the offset value in the acquisition time series is compared with the mutation threshold value;

[0036] If the rate of change of the offset value exceeds the mutation threshold, it is determined that a mutation has occurred in the rate of change of the offset value.

[0037] According to some embodiments of this application, determining that the rate of change of the offset value has abruptly changed if the rate of change of the offset value exceeds the mutation threshold includes:

[0038] Set a third number;

[0039] If the rate of change of the offset value corresponding to the third consecutive number of acquisition time sequences exceeds the mutation threshold, it is determined that the rate of change of the offset value has undergone a mutation.

[0040] According to some embodiments of this application, setting the third number includes:

[0041] When the mechanical device corresponds to a motor device, the number of time pulses corresponding to a quarter revolution of the bearing of the motor device is obtained;

[0042] A third number is set such that the third number is less than or equal to the number of time pulses corresponding to a quarter revolution of the bearing of the motor device.

[0043] According to some embodiments of this application, determining the cumulative total offset value based on the time offset value corresponding to each of the acquisition time sequences includes:

[0044] Determine the endpoint acquisition sequence from each of the acquisition sequence descriptions;

[0045] The time offset value corresponding to the time sequence of the endpoint acquisition is determined as the cumulative total offset value.

[0046] According to some embodiments of this application, after the abrupt change calculation is performed based on the rate of change of the offset value according to each of the acquisition time series, the method further includes:

[0047] In response to the fact that no sudden change in the rate of change of the offset value occurred during the mutation calculation, and that the rate of change of the offset value remained constant, the acquisition deviation ratio was calculated based on the offset value vector mapping data corresponding to each acquisition time sequence.

[0048] Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value vector mapping data.

[0049] According to some embodiments of this application, during the operation of the electrical equipment, controlling the electrical monitoring unit to acquire signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals includes:

[0050] Set the first time interval;

[0051] During the operation of the electrical equipment, the electrical monitoring unit is controlled to perform signal acquisition on the electrical equipment once every first time interval starting from the acquisition reference time, thereby obtaining the electrical equipment signal; wherein, the time when the electrical equipment performs signal acquisition is the electrical acquisition time;

[0052] Based on each electrical acquisition time corresponding to the electrical equipment signal, generate electrical timestamp information corresponding to each acquisition time sequence.

[0053] According to some embodiments of this application, setting the first time interval includes:

[0054] The first crystal oscillator element corresponding to the electrical monitoring unit is determined; wherein, the first crystal oscillator element serves as the clock signal source for the electrical monitoring unit.

[0055] The first time interval is set based on the minimum reference pulse of the first crystal oscillator.

[0056] According to some embodiments of this application, during the operation of the mechanical equipment, controlling the mechanical monitoring unit to collect signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals includes:

[0057] Set a second time interval;

[0058] During the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment once every second time interval starting from the acquisition reference time, thereby obtaining the mechanical equipment signal; wherein, the time when the mechanical equipment performs signal acquisition is the mechanical acquisition time;

[0059] Based on each mechanical acquisition time corresponding to the mechanical equipment signal, generate the mechanical timestamp information corresponding to each acquisition time sequence.

[0060] According to some embodiments of this application, setting the second time interval includes:

[0061] The second crystal oscillator element corresponding to the mechanical monitoring unit is determined; wherein, the second crystal oscillator element serves as the clock signal source for the mechanical monitoring unit;

[0062] The second time interval is set based on the minimum reference pulse of the second crystal oscillator.

[0063] A power plant equipment signal monitoring device according to a second aspect embodiment of this application includes:

[0064] A reference time synchronization unit is used to perform reference time synchronization operations on electrical and mechanical equipment in a target power plant to align the acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit and the mechanical equipment is equipped with a mechanical monitoring unit;

[0065] An electrical monitoring unit is used to collect signals from the electrical equipment according to the acquisition reference time during the operation of the electrical equipment, thereby obtaining electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information;

[0066] A mechanical monitoring unit is used to collect signals from the mechanical equipment according to the acquisition reference time during the operation of the mechanical equipment, thereby obtaining mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information;

[0067] The acquisition time determination unit is used to determine the electrical acquisition time and mechanical acquisition time corresponding to each acquisition sequence based on the electrical timestamp information and the mechanical timestamp information after obtaining the electrical equipment signal and the mechanical equipment signal;

[0068] The offset calculation unit is used to calculate the time offset between the electrical acquisition time and the mechanical acquisition time for each acquisition time sequence in turn;

[0069] The correction factor determination unit is used to determine the deviation correction factor corresponding to each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence.

[0070] The timestamp alignment unit is used to perform timestamp alignment operations on the electrical timestamp information and the mechanical timestamp information in each acquisition time sequence based on the deviation correction factor corresponding to each acquisition time sequence.

[0071] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the power plant equipment signal monitoring method as described in any one of the embodiments of the first aspect of this application.

[0072] Fourthly, embodiments of this application provide a computer-readable storage medium storing a program that is executed by a processor to implement the power plant equipment signal monitoring method as described in any one of the embodiments of the first aspect of this application.

[0073] The power plant equipment signal monitoring method, apparatus, electronic device, and medium according to the embodiments of this application have at least the following beneficial effects:

[0074] According to the power plant equipment signal monitoring method of this application embodiment, it is necessary to first perform a reference time synchronization operation on the electrical and mechanical equipment in the target power plant to align the acquisition reference time of the electrical and mechanical equipment; during the operation of the electrical equipment, the control electrical monitoring unit collects signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information; during the operation of the mechanical equipment, the control mechanical monitoring unit collects signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information; after obtaining the electrical and mechanical equipment signals, based on the electrical and mechanical timestamp information, the electrical acquisition time and mechanical acquisition time corresponding to each acquisition sequence are determined; for each acquisition sequence, the time offset value between the electrical acquisition time and the mechanical acquisition time is calculated sequentially; based on the time offset value corresponding to each acquisition sequence, the deviation correction factor corresponding to each acquisition sequence is determined; based on the deviation correction factor corresponding to each acquisition sequence, a timestamp alignment operation is performed on the electrical timestamp information and mechanical timestamp information for each acquisition sequence. In this way, synchronous acquisition and monitoring of electrical and mechanical monitoring data of electric motors can be achieved even in environments without communication networks.

[0075] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0076] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0077] Figure 1 A schematic flowchart of a power plant equipment signal monitoring method provided in an embodiment of this application;

[0078] Figure 2 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0079] Figure 3 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0080] Figure 4 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0081] Figure 5 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0082] Figure 6 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0083] Figure 7 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0084] Figure 8 This is another schematic flowchart of the power plant equipment signal monitoring method provided in the embodiments of this application;

[0085] Figure 9 This is a schematic diagram of the power plant equipment signal monitoring device provided in the embodiments of this application;

[0086] Figure 10 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0087] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0088] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0089] In the description of this application, it should be understood that the orientation descriptions, such as up, down, left, right, front, and back, are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0090] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0091] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setting," "installation," and "connection" should be interpreted broadly. Those skilled in the art can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution. Furthermore, the identification of specific steps in the following text does not imply a limitation on the order of steps or execution logic. The execution order and logic between each step should be understood and inferred from the content described in the embodiments.

[0092] As a common piece of equipment in the industrial field, electric motors require commissioning after project construction. This commissioning process involves monitoring multiple parameters of the motor, including starting current, voltage, short-circuit current, operating current and voltage, motor temperature, vibration, and noise. However, in the early stages of project completion, the plant's network communication may be inadequate, and there may be a lack of an integrated online monitoring platform for electrical and mechanical signals. In this situation, monitoring activities must rely on portable devices. Electrical monitoring is typically carried out at the distribution cabinet, while mechanical monitoring is conducted at the equipment side. However, the distribution cabinet and the equipment are often located in different parts of the plant, resulting in signal incompatibility and a lack of wireless network signal on site.

[0093] Because electrical and mechanical signal sampling uses different equipment, the clock pulses built into these devices also differ. This difference causes the electrical and mechanical signals to be out of sync after sampling. Since motor monitoring data is mostly high-frequency signals, accumulated errors can lead to phase deviations. If this deviation is not corrected, it will severely impact subsequent joint data analysis, affecting the accurate assessment of the motor's operating status.

[0094] Specifically, in environments without a network, existing monitoring equipment cannot simultaneously acquire electrical and mechanical signals. Due to inadequate equipment and the lack of an effective monitoring platform on-site, data from electrical and mechanical monitoring cannot be effectively integrated, hindering joint analysis. In such cases, even with a large amount of monitored data, its full potential cannot be realized, preventing a comprehensive and accurate assessment of the motor's operating status. Therefore, how to achieve simultaneous acquisition and analysis of electrical and mechanical monitoring data for motors in environments without communication networks has become an urgent problem to be solved.

[0095] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method, device, electronic equipment, and medium for monitoring signals of power plant equipment, which can realize the synchronous acquisition and monitoring of electrical and mechanical monitoring data of electric motors in an environment without a communication network.

[0096] The following explanation is based on the accompanying drawings.

[0097] Reference Figure 1 The power plant equipment signal monitoring method according to the embodiments of this application may include:

[0098] Step S101: Perform a reference time synchronization operation on the electrical and mechanical equipment in the target power plant to align the data acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit and the mechanical equipment is equipped with a mechanical monitoring unit;

[0099] Step S102: During the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain the electrical equipment signal; wherein, the timestamp information corresponding to the electrical equipment signal is electrical timestamp information;

[0100] Step S103: During the operation of the mechanical equipment, the mechanical monitoring unit controls the mechanical equipment to collect signals according to the acquisition reference time to obtain the mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is the mechanical timestamp information.

[0101] Step S104: After obtaining the electrical equipment signal and the mechanical equipment signal, determine the electrical acquisition time and mechanical acquisition time corresponding to each acquisition sequence based on the electrical timestamp information and the mechanical timestamp information.

[0102] Step S105: For each acquisition timing sequence, calculate the time offset between the electrical acquisition time and the mechanical acquisition time.

[0103] Step S106: Based on the time offset value corresponding to each acquisition time sequence, determine the deviation correction factor corresponding to each acquisition time sequence;

[0104] Step S107: Based on the deviation correction factor corresponding to each acquisition time sequence, perform timestamp alignment operation on electrical timestamp information and mechanical timestamp information in each acquisition time sequence.

[0105] In some embodiments, step S101 involves performing a reference time synchronization operation on the electrical and mechanical equipment in the target power plant to align the acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit, and the mechanical equipment is equipped with a mechanical monitoring unit;

[0106] It is important to note that a reference time synchronization operation is performed on both the electrical and mechanical equipment in the target power plant to align their data acquisition reference times. This step is the cornerstone of the entire monitoring method, as subsequent signal acquisition and timestamp recording are only meaningful if the data acquisition reference times of the electrical and mechanical equipment are consistent. The electrical equipment is equipped with a dedicated electrical monitoring unit, while the mechanical equipment is equipped with a mechanical monitoring unit. By performing reference time synchronization on these two monitoring units, a unified time reference is ensured for them during subsequent monitoring, thereby reducing data errors caused by inconsistent time references. This step resolves the problem of signal sampling asynchrony caused by differences in equipment clock pulses in environments without communication networks.

[0107] According to some specific embodiments, the process of performing reference time synchronization on electrical and mechanical equipment in a target power plant first requires synchronizing the electrical and mechanical equipment via USB or Bluetooth. This method establishes a temporary communication connection between the devices, allowing them to share a common time reference. During the synchronization process, one device can be selected as the reference time source, and the other device adjusts its clock according to the reference time source, thereby ensuring that the acquisition reference time of both devices is consistent.

[0108] After time synchronization is complete, the electrical and mechanical equipment will be separated, placing them in an environment where communication is impossible. In this situation, since the time synchronization has been completed, the electrical and mechanical equipment will each begin operating independently, acquiring signals based on their previously aligned acquisition reference time. Although real-time data exchange and synchronization between the devices are no longer possible, because their acquisition reference times have been aligned, the data acquired by each device will have the same time reference in subsequent signal acquisition processes.

[0109] This approach effectively solves the problem of ensuring the time synchronization of monitoring data from electrical and mechanical equipment in environments without communication networks. Through time synchronization, it ensures that even when equipment is separated and unable to communicate, the collected data can still be accurately aligned and compared in the time dimension. This is crucial for subsequent data integration and joint analysis, because only when the time bases of electrical and mechanical signals are consistent can the operating status of power plant equipment be accurately assessed and diagnosed.

[0110] In step S102 of some embodiments, during the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information;

[0111] It should be noted that during the operation of electrical equipment, the control electrical monitoring unit collects signals from the electrical equipment according to the acquisition reference time, obtaining the electrical equipment signals. The timestamp information corresponding to these electrical equipment signals is called electrical timestamp information.

[0112] Reference Figure 2 According to some embodiments of this application, step S102, during the operation of the electrical equipment, involves controlling the electrical monitoring unit to acquire signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals. This step may include:

[0113] Step S201: Set the first time interval;

[0114] Step S202: During the operation of the electrical equipment, the electrical monitoring unit controls the electrical equipment to acquire signals once every first time interval starting from the acquisition reference time, thereby obtaining the electrical equipment signal; wherein, the moment when the electrical equipment acquires signals is the electrical acquisition moment.

[0115] Step S203: Generate electrical timestamp information corresponding to each acquisition time sequence based on each electrical acquisition time corresponding to the electrical equipment signal.

[0116] In some embodiments, step S201 involves setting a first time interval;

[0117] It should be noted that, firstly, a suitable time interval needs to be set, namely the first time interval. The determination of this time interval is based on a comprehensive consideration of the operating characteristics of the electrical equipment and the monitoring requirements. By reasonably setting the first time interval, it can be ensured that the collected data can reflect the real-time operating status of the electrical equipment, without causing the data volume to be too large due to excessively high collection frequency, thus affecting the efficiency of data processing.

[0118] According to some embodiments of this application, step S201, setting the first time interval, may include:

[0119] The first crystal oscillator element corresponding to the electrical monitoring unit is determined; wherein, the first crystal oscillator element serves as the clock signal source for the electrical monitoring unit;

[0120] A first time interval is set based on the minimum reference pulse of the first crystal oscillator.

[0121] It is important to note that setting the first time interval is a crucial step, as it involves the clock signal source of the electrical monitoring unit, namely the first crystal oscillator. First, it is necessary to determine the first crystal oscillator corresponding to the electrical monitoring unit, because the crystal oscillator is the source of the internal clock signal for the monitoring unit, providing it with a time reference. The stability of the crystal oscillator directly affects the time accuracy of the monitoring unit; therefore, the characteristics of the crystal oscillator must be considered when setting the time interval.

[0122] Next, the first time interval is set based on the minimum reference pulse of the first crystal oscillator. The crystal oscillator generates a pulse signal with a fixed frequency, which determines the time interval between pulses. The minimum reference pulse refers to the smallest time interval that the crystal oscillator can generate, that is, the period of its pulse signal. By setting the first time interval to an integer multiple of this minimum reference pulse, the time interval during signal acquisition by the electrical monitoring unit can be ensured to be accurate and stable. This setting method not only guarantees the regularity and periodicity of signal acquisition but also maximizes the clock accuracy of the crystal oscillator, thereby improving the overall monitoring accuracy.

[0123] In summary, setting the first time interval involves matching the signal acquisition frequency of the electrical monitoring unit with the clock signal of the crystal oscillator to ensure that the signal acquisition time interval is accurate and stable. This step is fundamental to the entire electrical equipment signal monitoring method, providing an accurate time reference for subsequent signal acquisition and timestamp information generation.

[0124] In step S202 of some embodiments, during the operation of the electrical equipment, the electrical monitoring unit is controlled to perform signal acquisition on the electrical equipment once every first time interval starting from the acquisition reference time, so as to obtain the electrical equipment signal; wherein, the time when the electrical equipment performs signal acquisition is the electrical acquisition time.

[0125] It should be noted that, subsequently, during the operation of the electrical equipment, the control electrical monitoring unit acquires a signal from the electrical equipment every first time interval, starting from the acquisition reference time. This operation method ensures the regularity and periodicity of signal acquisition, resulting in good time consistency of the acquired electrical equipment signals. The moment of each signal acquisition is clearly recorded, becoming the electrical acquisition moment. These electrical acquisition moments not only provide time markers for the signals but also provide accurate time references for subsequent data analysis and processing.

[0126] In step S203 of some embodiments, electrical timestamp information corresponding to each acquisition time sequence is generated based on each electrical acquisition time corresponding to the electrical equipment signal.

[0127] It should be noted that, based on each electrical acquisition time corresponding to the electrical equipment signal, an electrical timestamp is generated for each acquisition sequence. This step tightly integrates the acquired signals with time information, ensuring that each signal data point accurately corresponds to a specific time point. The generation of electrical timestamp information is crucial for subsequent joint analysis of electrical and mechanical signals, as it helps accurately align the two different types of monitoring data, thereby achieving a comprehensive and accurate assessment of the power plant equipment's operating status. This method effectively solves the time synchronization problem of electrical and mechanical equipment monitoring data in environments without communication networks, improving the availability and reliability of the monitoring data.

[0128] In step S103 of some embodiments, during the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information;

[0129] It should be noted that during the operation of the mechanical equipment, the control and monitoring unit collects signals from the equipment according to the acquisition reference time, obtaining the corresponding timestamp information of the mechanical equipment signals. By collecting signals under a unified acquisition reference time, the timeliness and accuracy of electrical and mechanical monitoring data can be ensured. This step effectively solves the problem of ensuring the comparability and usability of data collected by different monitoring devices in environments without communication networks.

[0130] Reference Figure 3 According to some embodiments of this application, step S103, during the operation of the mechanical equipment, involves controlling the mechanical monitoring unit to acquire signals from the mechanical equipment according to the acquisition reference time to obtain the mechanical equipment signal. This step may include:

[0131] Step S301: Set the second time interval;

[0132] Step S302: During the operation of the mechanical equipment, the mechanical monitoring unit controls the mechanical equipment to acquire signals once every second time interval starting from the acquisition reference time, thereby obtaining the mechanical equipment signal; wherein, the time when the mechanical equipment acquires signals is the mechanical acquisition time.

[0133] Step S303: Generate mechanical timestamp information corresponding to each acquisition time sequence based on each mechanical acquisition time corresponding to the mechanical equipment signal.

[0134] In some embodiments, step S301 involves setting a second time interval;

[0135] It should be noted that setting a second time interval is crucial to ensuring that the mechanical monitoring unit can acquire signals at regular time intervals. By determining a suitable time interval, it is possible to ensure that the acquired data points accurately reflect the operating status of the mechanical equipment without generating excessive data volume due to excessively high acquisition frequency, which would affect the efficiency of subsequent data processing.

[0136] In step S302 of some embodiments, during the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment once every second time interval starting from the acquisition reference time, thereby obtaining the mechanical equipment signal; wherein, the time when the mechanical equipment performs signal acquisition is the mechanical acquisition time.

[0137] It should be noted that, subsequently, during the operation of the mechanical equipment, the mechanical monitoring unit will acquire signals from the equipment every second time interval, starting from the baseline acquisition time. This periodic signal acquisition method ensures the regularity and consistency of data acquisition, making the obtained mechanical equipment signals comparable and usable in time. The moment of each signal acquisition is clearly recorded as the mechanical acquisition moment; these moments not only provide a time stamp for the signals but also provide an accurate time reference for subsequent data analysis and processing.

[0138] In step S303 of some embodiments, mechanical timestamp information corresponding to each acquisition time sequence is generated based on each mechanical acquisition time corresponding to the mechanical equipment signal.

[0139] It should be noted that, finally, based on each mechanical acquisition time corresponding to the mechanical equipment signal, a mechanical timestamp is generated for each acquisition sequence. This step tightly links the acquired signal with the specific time point, ensuring that each signal data point accurately corresponds to its acquisition time. The generation of mechanical timestamp information is crucial for the joint analysis of monitoring data from mechanical and electrical equipment, as it helps achieve time alignment between the two different types of monitoring data, thus providing a reliable data foundation for a comprehensive and accurate assessment of the power plant equipment's operating status. In this way, the time synchronization problem of monitoring data from mechanical and electrical equipment can be effectively solved in environments without communication networks, improving the accuracy and reliability of the monitoring data and providing strong technical support for the maintenance and management of power plant equipment.

[0140] Step S102: During the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain the electrical equipment signal; wherein, the timestamp information corresponding to the electrical equipment signal is electrical timestamp information;

[0141] Step S103: During the operation of the mechanical equipment, the mechanical monitoring unit controls the mechanical equipment to collect signals according to the acquisition reference time to obtain the mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is the mechanical timestamp information.

[0142] In some more specific embodiments, the process by which the electrical monitoring unit and the mechanical monitoring unit perform timing marking after the reference time synchronization operation is as follows:

[0143]

[0144] It should be noted that the timing mark is defined as the device marking the time each time a minimum reference pulse occurs. This process begins with the initial time synchronization, when the timing mark is 1, corresponding to the time of the electrical monitoring unit. Ds and the time of the mechanical monitoring unit Js As monitoring progresses, whenever a minimum reference pulse is detected, both units, according to their respective time stamps, sequentially record the electrical acquisition time, denoted as time2. D time3 D ...time i D time END D The mechanical monitoring unit records the mechanical data acquisition time as time2. J time3 J ...time iJ time END J Each time stamp corresponds to a specific moment, and these moments form the basis of the acquisition time sequence.

[0145] In some embodiments, to ensure data accuracy after monitoring is completed, the electrical and mechanical equipment can be synchronized a second time via USB or Bluetooth. In this case, the timing marker is updated to the endpoint acquisition timing; the endpoint acquisition timing marker for the electrical monitoring unit is N, the endpoint acquisition timing marker for the mechanical monitoring unit is n, and the electrical acquisition time corresponding to the endpoint acquisition timing of the electrical monitoring unit is marked as time. END D The electrical acquisition time corresponding to the endpoint acquisition time sequence of the mechanical monitoring unit is marked as time. END J This operation ensures that the time base of the two monitoring units remains consistent even in environments where communication is impossible, providing a reliable time reference for subsequent data alignment and analysis.

[0146] In this way, the electrical and mechanical monitoring units can independently perform timing marking while maintaining time consistency through initial and final synchronization. This not only solves the synchronization problem of data acquisition in environments without communication networks but also provides the necessary timing information for subsequent offset calculations and data alignment. The table above clearly shows the relationship between the timing markings of the electrical and mechanical monitoring units and their corresponding times, making the process of determining the acquisition timing more transparent and easier to understand.

[0147] In step S104 of some embodiments, after obtaining the electrical equipment signal and the mechanical equipment signal, the electrical acquisition time and the mechanical acquisition time corresponding to each acquisition time sequence are determined based on the electrical timestamp information and the mechanical timestamp information.

[0148] It should be noted that after obtaining the electrical and mechanical equipment signals, the electrical and mechanical timestamp information is used to determine the corresponding electrical and mechanical acquisition times for each acquisition sequence. This step establishes a preliminary correspondence between the acquired electrical and mechanical signals in the time dimension, providing a foundation for subsequent offset calculations and data alignment.

[0149] In some embodiments, step S105 involves calculating the time offset between the electrical acquisition time and the mechanical acquisition time for each acquisition timing sequence.

[0150] It should be noted that, for each acquisition sequence, the time offset between the electrical and mechanical acquisition times is calculated sequentially. The purpose of this step is to quantify the temporal deviation between the electrical and mechanical signals, providing a basis for subsequent correction operations. By calculating the time offset for each acquisition sequence, the temporal differences between the electrical and mechanical signals at different points in time can be clearly understood.

[0151] In step S106 of some embodiments, a deviation correction factor is determined for each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence.

[0152] It should be noted that, based on the time offset value corresponding to each acquisition time sequence, a deviation correction factor is determined for each acquisition time sequence. This step involves determining a deviation correction factor for each acquisition time sequence based on the calculated time offset value. This factor will be used in subsequent timestamp alignment operations to eliminate time differences between electrical and mechanical signals.

[0153] Reference Figure 4 According to some embodiments of this application, step S106, based on the time offset value corresponding to each acquisition time sequence, determines the deviation correction factor corresponding to each acquisition time sequence, which may include:

[0154] Step S401: Based on each acquisition time sequence and the time offset value corresponding to each acquisition time sequence, establish offset value vector mapping data; wherein, the offset value vector mapping data is used to reflect the relationship between the time offset value and the acquisition time sequence.

[0155] Step S402: Calculate the vector change rate based on the offset value vector mapping data to determine the offset value change rate corresponding to each acquisition time sequence;

[0156] Step S403: Configure the deviation correction factor corresponding to each acquisition time sequence according to the rate of change of the offset value of each acquisition time sequence.

[0157] In step S401 of some embodiments, offset value vector mapping data is established based on each acquisition time sequence and the time offset value corresponding to each acquisition time sequence; wherein, the offset value vector mapping data is used to reflect the relationship between the time offset value and the acquisition time sequence.

[0158] It's important to note that this process first requires establishing offset vector mapping data. This step involves associating each acquisition time sequence with its corresponding time offset value, forming a vector mapping data structure. This structure clearly reflects how the time offset value changes as the acquisition time sequence changes, providing an intuitive data foundation for subsequent analysis. Through this mapping relationship, it's easier to identify the trend and pattern of offset value changes, which is crucial for understanding the time differences between electrical and mechanical signals.

[0159] In some embodiments, step S402 involves calculating the vector change rate based on the offset value vector mapping data to determine the offset value change rate corresponding to each acquisition time sequence.

[0160] It should be noted that, next, based on the established offset vector mapping data, the vector change rate is calculated to determine the offset change rate corresponding to each acquisition time sequence. Calculating the vector change rate involves analyzing the magnitude and direction of the offset value change between adjacent acquisition time sequences, thereby quantifying the rate of change of the offset value. This step is indicative of abrupt or gradual changes in the offset pattern, as different change rates may indicate different system behaviors or the impact of external disturbances.

[0161] In step S403 of some embodiments, a deviation correction factor is configured for each acquisition time sequence based on the rate of change of the offset value of each acquisition time sequence.

[0162] It should be noted that a deviation correction factor is configured for each acquisition time series based on the rate of change of its offset value. The configuration of the deviation correction factor aims to provide a suitable correction amount for each acquisition time series by taking into account the rate of change of the offset value, so that it can be applied in subsequent timestamp alignment operations. This step ensures that the correction factor can dynamically adapt to changes in the offset value, thereby improving the accuracy and reliability of timestamp alignment. In this way, electrical and mechanical monitoring data can be aligned more accurately, providing a more precise data foundation for assessing the operational status of power plant equipment.

[0163] Reference Figure 5 According to some embodiments of this application, step S403, which configures the deviation correction factor corresponding to each acquisition time sequence based on the rate of change of the offset value of each acquisition time sequence, may include:

[0164] Step S501: Perform abrupt change calculation based on the rate of change of offset values ​​for each acquisition time series;

[0165] Step S502: In response to the determination of a sudden change in the rate of change of offset value in the mutation calculation, the offset value vector mapping data is sliced ​​based on the acquisition time series where the mutation occurred to obtain offset value slice data; wherein, the offset value slice data contains multiple offset value sub-data, and each offset value sub-data corresponds to an acquisition time series;

[0166] Step S503: Calculate the acquisition deviation ratio corresponding to the offset slice data;

[0167] Step S504: Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value slice data.

[0168] In some embodiments, step S501 involves calculating abrupt changes based on the rate of change of offset values ​​for each acquisition time sequence.

[0169] It should be noted that the deviation correction factor for each acquisition time series is configured based on the rate of change of the offset values ​​for each acquisition time series. This process first includes abrupt change calculation based on the rate of change of the offset values ​​for each acquisition time series. The purpose of abrupt change calculation is to identify whether there are significant abrupt changes in the rate of change of offset values. These abrupt changes may indicate that the pattern of offset value change has changed. By identifying these abrupt changes, the characteristics of offset value change over time can be understood more accurately.

[0170] Reference Figure 6 According to some embodiments of this application, step S501, which calculates abrupt changes based on the rate of change of offset values ​​for each acquisition time series, may include:

[0171] Step S601: Determine the cumulative total offset value based on the time offset value corresponding to each acquisition time sequence; wherein, the number of acquisition time sequences is the second number;

[0172] Step S602: Based on the cumulative total offset value and the second number, set the mutation definition conditions;

[0173] Step S603: In response to the existence of an offset value change rate that satisfies the mutation definition condition, determine that the corresponding offset value change rate has undergone a mutation.

[0174] In some embodiments, step S601 involves determining the cumulative total offset value based on the time offset value corresponding to each acquisition time sequence; wherein the number of acquisition time sequences is a second number.

[0175] It should be noted that the cumulative total offset value is determined based on the time offset value corresponding to each acquisition time series. The number of acquisition time series is defined as the second number, representing the total number of data points acquired during the monitoring process. The cumulative total offset value not only reflects the sum of time offset values ​​across all acquisition time series but also provides important quantitative basis for subsequently setting abrupt change criteria.

[0176] According to some embodiments of this application, step S601, based on the time offset value corresponding to each acquisition time sequence, determines the cumulative total offset value, which may include:

[0177] Determine the endpoint acquisition sequence from each acquisition sequence;

[0178] The time offset value corresponding to the endpoint acquisition time sequence is determined as the cumulative total offset value.

[0179] It should be noted that the endpoint acquisition sequence is identified from all acquisition sequence numbers. The endpoint acquisition sequence refers to the last acquisition sequence in a series of acquisition sequence numbers, representing the end point of the monitoring process. By determining this endpoint, it can be ensured that the calculation of the cumulative total offset value covers the entire monitoring period, thus providing a complete picture of the accumulated offset.

[0180] Next, the time offset value corresponding to this endpoint acquisition time sequence is directly determined as the cumulative total offset value. This method assumes that during the monitoring process, the time offset value of each acquisition time sequence is calculated relative to the same reference time. Therefore, the offset value of the endpoint acquisition time sequence naturally reflects the total time offset from the start to the end of monitoring. This approach not only simplifies the calculation process but also effectively reflects the cumulative offset effect throughout the entire monitoring period.

[0181] Determining the cumulative total offset in this way not only provides an intuitive measure of accumulated offset but also lays the foundation for setting subsequent abrupt change criteria. As a key indicator, the cumulative total offset helps the monitoring system identify whether the offset exceeds the normal range, thereby promptly detecting potential system anomalies or equipment failures. This endpoint-based acquisition time-series method ensures that the calculation of the cumulative total offset is both accurate and efficient, making it suitable for various complex monitoring scenarios.

[0182] In some more specific embodiments, the electrical monitoring unit sequentially records the electrical data acquisition times, denoted as time2. D time3 D ...time i D time END D The mechanical monitoring unit records the mechanical data acquisition time as time2. J time3 J ...time i J time END J The time offset value corresponding to each acquisition time sequence refers to the deviation between the electrical acquisition time and the mechanical acquisition time corresponding to the same sequence mark, denoted as time. D -time J The example given here is the case where the electrical acquisition time is faster than the mechanical acquisition time.

[0183] Based on this, the time offset value corresponding to the endpoint acquisition time sequence is expressed as:

[0184] Z = time END D -time END J

[0185] In step S602 of some embodiments, a mutation delimitation condition is set based on the cumulative total offset value and the second number;

[0186] It should be noted that a mutation threshold is set based on the cumulative total offset and the number of data acquisition sequences. Setting this threshold is a crucial step in mutation detection, as it determines under what circumstances the rate of change in the offset is considered a mutation. When setting the mutation threshold, both the magnitude of the cumulative total offset and the number of data acquisition sequences need to be considered to determine a reasonable threshold. This threshold reflects the expected range of the rate of change in the offset under normal circumstances; any rate of change exceeding this range will be considered abnormal.

[0187] In some embodiments, step S603 involves determining that a mutation has occurred in the corresponding rate of change of the offset value in response to the existence of an offset value change rate that satisfies the mutation definition condition.

[0188] It should be noted that, in response to situations where the rate of change of the offset value meets the abrupt change definition condition, a sudden change in the corresponding rate of change of the offset value is determined. This means that when the monitored rate of change of the offset value exceeds a previously set threshold, this embodiment of the application will determine that a sudden change has occurred at that acquisition time. This determination is crucial for the timely detection of abnormal changes in the system, as it may indicate changes in the device's operating state or other events requiring attention. In this way, abrupt change calculation not only improves monitoring sensitivity but also enhances the responsiveness to changes in the device's operating state.

[0189] Reference Figure 7 According to some embodiments of this application, step S603, in response to the existence of an offset value change rate satisfying a mutation definition condition, determining that the corresponding offset value change rate has undergone a mutation, may include:

[0190] Step S701: Calculate the mutation boundary value based on the cumulative total offset value and the second number;

[0191] Step S702: Compare the rate of change of the offset value of the acquisition time series with the mutation boundary value;

[0192] Step S703: If the rate of change of the offset value exceeds the mutation threshold, it is determined that a mutation has occurred in the rate of change of the offset value.

[0193] In step S701 of some embodiments, a mutation boundary value is calculated based on the cumulative total offset value and the second number;

[0194] It should be noted that the mutation threshold is calculated based on the cumulative total offset and the second number (i.e., the total number of acquisition time series). The cumulative total offset reflects the sum of the offset values ​​at all acquisition time series, while the second number represents the number of data points acquired. By dividing the cumulative total offset by the second number, an average offset can be obtained. This average value serves as the mutation threshold, used to determine whether the rate of change of the offset value in a single acquisition time series exceeds the normal range. If the rate of change of the offset value exceeds the mutation threshold, it means that the rate of change of the offset value meets the mutation threshold condition.

[0195] In some more specific embodiments, the mutation threshold can be determined by multiplying the mutation coefficient by the average offset. The core of this approach is the introduction of a mutation coefficient, typically set greater than 1.1, to ensure that the mutation threshold effectively identifies significant shifts. Specifically, the mutation coefficient is set to amplify the average offset, thereby providing a more sensitive threshold for mutation detection.

[0196] First, the average offset is calculated statistically from the time offset values ​​of all acquisition time series, reflecting the average level of offset during the monitoring process. The method for calculating the average offset typically involves dividing the cumulative total offset value by the number of acquisition time series, i.e., the second number. This average value provides the basis for subsequent abrupt change thresholds.

[0197] Next, by multiplying the mutation coefficient by the average offset, the mutation threshold value can be obtained. This method, based on the mutation coefficient and average offset, has the advantage of dynamically adapting to different monitoring environments and data characteristics. By adjusting the mutation coefficient, the monitoring system can flexibly respond to various situations. For example, in monitoring scenarios sensitive to mutations, the mutation coefficient can be appropriately increased to reduce false alarms; while in scenarios requiring more stringent mutation detection, the mutation coefficient can be appropriately decreased. This method not only improves the flexibility of mutation detection but also enhances adaptability and robustness.

[0198] In some more specific embodiments, if the cumulative total offset is represented by Z and the second number by n, then the average offset can be represented as... If the mutation coefficient is denoted as r, then the mutation threshold can be expressed as: If the rate of change of the offset value is expressed as Therefore, the mutation threshold can be expressed as:

[0199]

[0200] If the rate of change of the offset value Exceeding the mutation threshold This confirms that a sudden change has occurred in the rate of change of the offset value.

[0201] The mutation coefficient is typically set to a value greater than 1.1, meaning the mutation threshold is slightly higher than the average offset. This setting ensures that a mutation is only considered to have occurred when the rate of change of the offset significantly exceeds the average level. For example, if the average offset is 10 units and the mutation coefficient is set to 1.2, then the mutation threshold is 12 units. Any rate of change of the offset exceeding this value will be considered a mutation.

[0202] In step S702 of some embodiments, the rate of change of the offset value of the acquisition time series is compared with the mutation boundary value;

[0203] It should be noted that the rate of change of the offset value for each acquisition time series is compared with this mutation threshold. This step is achieved by comparing each rate of change with the mutation threshold. If the rate of change of the offset value for a certain acquisition time series exceeds the mutation threshold, it indicates that the rate of change is significantly higher than the average offset level, which may mean that a mutation has occurred at that acquisition time series.

[0204] In step S703 of some embodiments, if the rate of change of the offset value exceeds the mutation threshold, it is determined that a mutation has occurred in the rate of change of the offset value.

[0205] It should be noted that if the rate of change of the offset value exceeds the abrupt change threshold, then an abrupt change in the rate of change of the offset value can be determined. This method of identifying abrupt changes helps the monitoring system to promptly identify abnormal changes in the offset pattern, thereby enabling timely implementation of appropriate measures. In this way, the monitoring system can detect potential equipment failures or operational anomalies at an early stage, providing strong support for the stable operation of power plant equipment.

[0206] According to some embodiments of this application, determining that a sudden change in the rate of change of the offset value has occurred if the rate of change of the offset value exceeds a mutation threshold may include:

[0207] Set a third number;

[0208] If the rate of change of the offset value corresponding to the third consecutive number of acquisition time sequences exceeds the mutation threshold, it is determined that a mutation has occurred in the rate of change of the offset value.

[0209] It's important to note that determining whether a sudden change in the offset rate of change has occurred involves setting a parameter called the "third number." The introduction of the third number aims to ensure the reliability and accuracy of mutation detection, avoiding misjudgments due to chance factors or short-term fluctuations. Specifically, the third number can be defined as a threshold number of consecutive acquisition time series. Only when the offset rate of change for a consecutive third number of acquisition time series exceeds the mutation threshold will a sudden change in the offset rate of change be definitively determined.

[0210] This method increases the rigor of mutation determination by requiring multiple consecutive acquisition time series to meet the exceedance condition. For example, if the third number is set to 3, then the mutation determination mechanism will only be triggered if the rate of change of the offset value of three consecutive acquisition time series exceeds the mutation threshold. This setting helps filter out offset value fluctuations caused by random noise or transient interference, thereby improving the accuracy of mutation detection.

[0211] Furthermore, the specific value of the third number can be adjusted according to the data characteristics and monitoring needs in the actual application scenario. In some monitoring scenarios with high real-time requirements, the third number can be appropriately reduced to detect potential mutations more quickly; while in scenarios with high data stability requirements, the third number can be appropriately increased to reduce the possibility of false alarms. In this way, the monitoring system can flexibly adjust the sensitivity and reliability of mutation detection in different application environments, thereby better meeting actual monitoring needs.

[0212] According to some specific embodiments of this application, setting a third number may include:

[0213] In the case where the mechanical equipment corresponds to the motor equipment, obtain the number of time pulses corresponding to one-quarter revolution of the bearing of the motor equipment;

[0214] Set a third number such that the third number is less than or equal to the number of time pulses corresponding to a quarter revolution of the bearing of the motor.

[0215] It should be noted that setting the third number involves careful consideration of the rotational characteristics of the motor's bearings. Specifically, when mechanical equipment corresponds to motor equipment, the number of time pulses corresponding to one-quarter revolution of the motor's bearing can be obtained first. This parameter is obtained based on the motor's rotational speed and the bearing's structural characteristics, reflecting the minimum time unit during normal operation of the motor. Accurately measuring or calculating this number of time pulses provides a crucial reference for setting the subsequent third number.

[0216] Next, when setting the third number, it should be ensured that it is less than or equal to the number of time pulses corresponding to one-quarter revolution of the motor bearing. This setting aims to ensure the timeliness and accuracy of abrupt change detection. If the third number is set too high, it may cause a lag in abrupt change detection, failing to capture changes in the offset pattern in a timely manner; conversely, if it is set too low, it may increase the risk of false alarms. Therefore, limiting the third number to within the number of time pulses corresponding to one-quarter revolution of the bearing can ensure the sensitivity of abrupt change detection while avoiding excessive false alarms due to overly frequent detection.

[0217] In some embodiments, the third number can be represented as m. Based on this, if the cumulative total offset is represented as Z and the second number as n, then the average offset can be represented as... If the mutation coefficient is denoted as r, then the mutation threshold can be expressed as: If the rate of change of the offset value is expressed as Therefore, the mutation boundary condition can be expressed as: m consecutive calculations

[0218] If the rate of change of the offset value is calculated through m consecutive calculations... The mutation threshold was exceeded in all m calculations. This confirms that a sudden change has occurred in the rate of change of the offset value.

[0219] According to some embodiments of this application, after step S501 performs abrupt change calculation based on the rate of change of offset values ​​for each acquisition time sequence, the method may further include:

[0220] In response to the fact that there was no sudden change in the rate of change of offset value in the mutation calculation, and that the rate of change of offset value is constant, the acquisition deviation ratio is calculated based on the offset value vector mapping data corresponding to each acquisition time sequence.

[0221] Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value vector mapping data.

[0222] It should be noted that after calculating the abrupt changes in the rate of change of offset values ​​based on each acquisition time sequence, if the calculation results show that there are no abrupt changes in the rate of change of offset values, and it is further confirmed that the rate of change of offset values ​​remains constant throughout the monitoring process, then a different method can be used to calculate the acquisition deviation ratio, and the deviation correction factor can be configured accordingly. Specifically, when the rate of change of offset values ​​is constant, this indicates that the time offset between electrical and mechanical signals has not changed significantly during the monitoring period. Therefore, the offset value vector mapping data corresponding to all acquisition time sequences can be used to perform a more stable deviation ratio calculation.

[0223] In this context, the calculation of the acquisition bias ratio can be based on all available offset vector mapping data. This involves a comprehensive analysis of the offset values ​​across all acquisition time series to determine a holistic, stable bias ratio. Since there are no abrupt changes and the rate of change of the offset values ​​is constant, it is reasonable to assume that the offset is uniform throughout the monitoring period, making it possible to calculate the bias ratio using all data points. The bias ratio obtained in this way reflects the average bias throughout the monitoring process, thus providing a global basis for subsequent bias correction.

[0224] Next, based on the calculated acquisition deviation ratio, a deviation correction factor can be configured for each acquisition time sequence in the offset value vector mapping data. Since the rate of change of the offset value is constant, a uniform deviation correction factor can be applied to each acquisition time sequence, or it can be appropriately adjusted according to the specific offset value of each time sequence. This configuration method ensures that all acquired signals are consistently corrected throughout the entire monitoring data time range, eliminating time offsets caused by initial clock differences or other constant factors. Through this method, even in the absence of abrupt changes, precise time alignment of electrical and mechanical monitoring data can be achieved, thus providing a reliable data foundation for subsequent joint data analysis and equipment condition assessment.

[0225] In step S502 of some embodiments, in response to the determination of a sudden change in the rate of change of offset value in the mutation calculation, the offset value vector mapping data is sliced ​​based on the acquisition time sequence in which the mutation occurs to obtain offset value slice data; wherein, the offset value slice data contains multiple offset value sub-data, and each offset value sub-data corresponds to an acquisition time sequence;

[0226] It should be noted that, in response to a mutation, if a sudden change in the rate of change of the offset value is determined, the offset vector mapping data needs to be sliced ​​based on the acquisition time sequence at which the mutation occurred, resulting in offset slice data, which can be represented as Q. i Slicing divides the original offset vector mapping data into multiple sub-data segments, each called an offset sub-data, and each sub-data corresponds to a specific acquisition time sequence. This slicing process helps to break down the data into smaller, more manageable parts, enabling more detailed analysis and processing of each part.

[0227] In some embodiments, step S503 involves calculating the acquisition deviation ratio corresponding to the offset slice data;

[0228] It's important to note that the acquisition bias ratio is a key metric used to quantify the offset within each data slice. It reflects the degree of deviation of the offset value from a reference value at a specific acquisition time sequence. Methods for calculating the acquisition bias ratio may include statistical analysis, trend analysis, or other mathematical methods, depending on the characteristics of the data and the analysis objectives.

[0229] Reference Figure 8 According to some embodiments of this application, step S503, calculating the acquisition deviation ratio corresponding to the offset slice data, may include:

[0230] Step S801: Obtain the mutation occurrence time sequence corresponding to the offset slice data;

[0231] Step S802: Determine the corresponding first offset parameter based on the mutation occurrence time sequence; wherein, the first offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the mutation occurrence time sequence;

[0232] Step S803: Determine the corresponding second offset parameter based on the previous acquisition time sequence corresponding to the mutation occurrence time sequence; wherein, the second offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the previous acquisition time sequence corresponding to the mutation occurrence time sequence;

[0233] Step S804: Based on the first offset parameter and the second offset parameter, calculate the acquisition deviation ratio corresponding to the offset value slice data.

[0234] In some embodiments, step S801 involves obtaining the mutation occurrence time sequence corresponding to the offset slice data;

[0235] It's important to note that obtaining the mutation occurrence timeline corresponding to the offset value slice data marks the moment when the rate of change of the offset value changes significantly. Determining the mutation occurrence timeline is based on the mutation calculation in the previous steps, and it helps identify the key points of the offset pattern transition. By identifying this timeline, we can more accurately analyze the changes in the offset value over different time periods.

[0236] In some embodiments, step S802 involves determining a corresponding first offset parameter based on the timing of the mutation; wherein the first offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the timing of the mutation.

[0237] It should be noted that the first offset parameter is determined based on the timing of the abrupt change. The first offset parameter is defined as the time offset between the electrical acquisition moment and the mechanical acquisition moment within the timing sequence of the abrupt change. This step quantifies the offset at the instant the abrupt change occurs, providing a crucial data point for subsequent deviation ratio calculations. The first offset parameter reflects the time difference between the electrical and mechanical signals at the time of the abrupt change.

[0238] In some embodiments, step S803 involves determining a corresponding second offset parameter based on the previous acquisition timing corresponding to the mutation occurrence timing; wherein the second offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the previous acquisition timing corresponding to the mutation occurrence timing.

[0239] It should be noted that the second offset parameter is determined based on the acquisition sequence preceding the mutation. The second offset parameter is the time offset between the electrical and mechanical acquisition times in the acquisition sequence before the mutation. The purpose of this step is to capture the offset before the mutation so that it can be compared with the offset after the mutation. By comparing the offset values ​​before and after the mutation, the magnitude and direction of the offset change can be assessed more accurately.

[0240] In some embodiments, step S804 involves calculating the acquisition deviation ratio corresponding to the offset value slice data based on the first offset parameter and the second offset parameter.

[0241] It should be noted that the acquisition bias ratio corresponding to the offset value slice data is calculated based on the first and second offset parameters. The calculation method for the acquisition bias ratio typically involves comparing these two offset parameters, such as calculating their difference or ratio, to quantify the degree of change in the offset value before and after the abrupt change. This bias ratio provides a crucial basis for subsequently configuring the bias correction factor, helping to achieve more accurate timestamp alignment, thereby improving the accuracy and reliability of the monitoring data.

[0242] According to some embodiments of this application, the acquisition deviation ratio corresponding to the offset value slice data is calculated based on the first offset parameter and the second offset parameter, which may include:

[0243] The acquisition deviation ratio is obtained by performing quotient processing based on the first offset parameter and the second offset parameter.

[0244] It should be noted that calculating the acquisition deviation ratio involves quotienting the first and second offset parameters. Specifically, this quotient is achieved by dividing the first offset parameter by the second offset parameter, thus obtaining the acquisition deviation ratio. This ratio not only reflects the relative change in offset at the time of abrupt change but also provides a crucial quantitative indicator for subsequent deviation correction. This mathematical processing effectively converts the absolute value of offset change into a relative value, allowing for comparison of offset changes between different acquisition time series on a uniform scale. This quantification of relative change is significant for assessing and correcting time differences between electrical and mechanical monitoring data, as it helps identify key points of offset change and provides a basis for adjustment for each acquisition time series. Furthermore, the acquisition deviation ratio obtained through quotient calculation can also reveal trends in offset change, such as whether there are signs of acceleration or deceleration, thus providing a deeper insight into the operating status of the monitoring equipment.

[0245] In some more specific embodiments, the first offset parameter is represented as The second offset parameter is expressed as: The sampling deviation ratio is expressed as:

[0246] In step S504 of some embodiments, a deviation correction factor is configured for each acquisition time sequence in the offset slice data based on the acquisition deviation ratio.

[0247] It should be noted that, based on the calculated acquisition deviation ratio, a deviation correction factor is configured for each acquisition time series in the offset value slice data. The configuration of the deviation correction factor aims to provide an appropriate correction amount for each acquisition time series to compensate for time differences caused by variations in the offset value. In this way, the accuracy of timestamp alignment can be improved, ensuring the temporal consistency of electrical and mechanical monitoring data, thereby providing a more accurate basis for subsequent joint data analysis and equipment condition assessment.

[0248] In some more specific embodiments, the offset slice data is represented as Q. i The sampling deviation ratio is expressed as The acquisition bias ratio can be directly determined as the bias correction factor w. Based on this, the offset slice data Q i The corresponding offset correction factor can be expressed as:

[0249]

[0250] If the rate of change of the offset value changes abruptly at the i-th acquisition time sequence, then the i-th acquisition time sequence is the time sequence in which the abrupt change occurs, and the (i-1)-th acquisition time sequence, which is also the time sequence in which the abrupt change occurs, corresponds to the previous acquisition time sequence. This represents the electrical acquisition time corresponding to the i-th acquisition time sequence after calculation. This represents the mechanical acquisition time corresponding to the i-th acquisition timing after calculation. This indicates the electrical acquisition time corresponding to the (i-1)th acquisition sequence after calculation. This indicates the mechanical acquisition time corresponding to the (i-1)th acquisition sequence after calculation.

[0251] It should be understood that the deviation correction factor w is equal to the ratio of the acquisition deviation. Closely related, the acquisition deviation ratio in the above embodiments It can be directly identified as the deviation correction factor w. In other embodiments, the deviation correction factor w can also be expressed in combination with other parameters based on the deviation correction factor, and is not limited to the examples mentioned above.

[0252] In some embodiments, step S107 involves performing a timestamp alignment operation on electrical timestamp information and mechanical timestamp information in each acquisition time sequence based on the deviation correction factor corresponding to each acquisition time sequence.

[0253] It should be noted that, based on the deviation correction factor corresponding to each acquisition time sequence, a timestamp alignment operation is performed on the electrical and mechanical timestamp information at each acquisition time sequence. This step is the core of the entire monitoring method; by aligning the timestamps, the consistency of electrical and mechanical signals in time can be ensured. This not only solves the signal asynchrony problem caused by differences in equipment clock pulses, but also provides accurate data support for subsequent joint data analysis and equipment operating status assessment. Through this method, effective synchronous acquisition and monitoring of electrical and mechanical signals of power plant equipment can be achieved even in environments without communication networks, thereby improving the accuracy and reliability of equipment operating status assessment.

[0254] In some more specific embodiments, the offset slice data is represented as Q. i The deviation correction factor is denoted as w. When the electrical acquisition time is faster than the mechanical acquisition time, the offset value slice data Q is... i The electrical and mechanical timestamp information within the data undergoes timestamp alignment at each acquisition time sequence, which can be represented as:

[0255] time J =w·time J

[0256] The surface mechanical timestamp information is corrected to align with the electrical timestamp information under the action of the deviation correction factor w.

[0257] It should be understood that timestamp alignment operations can be performed in various ways, and are not limited to the examples mentioned above.

[0258] Reference Figure 9 The power plant equipment signal monitoring device according to the embodiments of this application may include:

[0259] The reference time synchronization unit 901 is used to perform reference time synchronization operations on electrical and mechanical equipment in the target power plant to align the acquisition reference time of the electrical and mechanical equipment; wherein, the electrical equipment is equipped with an electrical monitoring unit, and the mechanical equipment is equipped with a mechanical monitoring unit;

[0260] The electrical monitoring unit 902 is used to collect signals from the electrical equipment according to the acquisition reference time during the operation of the electrical equipment, and obtain the electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information;

[0261] The mechanical monitoring unit 903 is used to collect signals from the mechanical equipment according to the acquisition reference time during the operation of the mechanical equipment, and obtain the mechanical equipment signal; wherein, the timestamp information corresponding to the mechanical equipment signal is the mechanical timestamp information;

[0262] The acquisition time determination unit 904 is used to determine the electrical acquisition time and mechanical acquisition time corresponding to each acquisition time sequence based on the electrical timestamp information and mechanical timestamp information after obtaining the electrical equipment signal and mechanical equipment signal;

[0263] The offset calculation unit 905 is used to calculate the time offset between the electrical acquisition time and the mechanical acquisition time for each acquisition time sequence in turn;

[0264] The correction factor determination unit 906 is used to determine the deviation correction factor corresponding to each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence.

[0265] The timestamp alignment unit 907 is used to perform timestamp alignment operations on electrical timestamp information and mechanical timestamp information in each acquisition time sequence based on the deviation correction factor corresponding to each acquisition time sequence.

[0266] It is evident that the content of the above-described power plant equipment signal monitoring method embodiments is applicable to the embodiments of this power plant equipment signal monitoring device. The specific functions implemented by the embodiments of this power plant equipment signal monitoring device are the same as those of the above-described power plant equipment signal monitoring method embodiments, and the beneficial effects achieved are also the same as those achieved by the above-described power plant equipment signal monitoring method embodiments.

[0267] Reference Figure 10 , Figure 10 This illustration shows the hardware structure of an electronic device according to another embodiment. The electronic device may include:

[0268] The processor 1001 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0269] The memory 1002 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 1002 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called and executed by the processor 1001 to execute the power plant equipment signal monitoring method of the embodiments of this application.

[0270] Input / output interface 1003 is used to implement information input and output;

[0271] The communication interface 1004 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0272] Bus 1005 transmits information between various components of the device (e.g., processor 1001, memory 1002, input / output interface 1003, and communication interface 1004);

[0273] The processor 1001, memory 1002, input / output interface 1003 and communication interface 1004 are connected to each other within the device via bus 1005.

[0274] This application also provides a computer program product, which includes a computer program. The processor of a computer device reads and executes the computer program, causing the computer device to perform the aforementioned power plant equipment signal monitoring method.

[0275] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in this disclosure and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “including,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatuses.

[0276] It should be understood that in this disclosure, "at least one item" means one or more, and "more than one" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0277] It should be understood that in the description of the embodiments of this application, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.

[0278] In the several embodiments provided in this disclosure, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0279] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0280] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0281] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium may include: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code.

[0282] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0283] The above is a detailed description of the embodiments of this disclosure. However, this disclosure is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this disclosure. All such equivalent modifications or substitutions are included within the scope defined by the claims of this disclosure.

Claims

1. A power plant equipment signal monitoring method characterized by, include: A reference time synchronization operation is performed on the electrical and mechanical equipment in the target power plant to align the data acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit and the mechanical equipment is equipped with a mechanical monitoring unit; During the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information; During the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information; After obtaining the electrical equipment signal and the mechanical equipment signal, the electrical acquisition time and the mechanical acquisition time corresponding to each acquisition sequence are determined based on the electrical timestamp information and the mechanical timestamp information. For each of the aforementioned acquisition timing sequences, the time offset value between the electrical acquisition time and the mechanical acquisition time is calculated sequentially; Based on the time offset value corresponding to each acquisition time sequence, a deviation correction factor corresponding to each acquisition time sequence is determined; Based on the deviation correction factor corresponding to each acquisition time sequence, a timestamp alignment operation is performed on the electrical timestamp information and the mechanical timestamp information in each acquisition time sequence; The step of determining the deviation correction factor for each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence includes: Based on each acquisition time sequence and the time offset value corresponding to each acquisition time sequence, offset value vector mapping data is established; wherein, the offset value vector mapping data is used to reflect the relationship between the time offset value and the acquisition time sequence. Based on the offset value vector mapping data, the vector change rate is calculated to determine the offset value change rate corresponding to each of the acquisition time sequences; Abrupt change is calculated based on the rate of change of the offset value in each of the aforementioned acquisition time sequences; In response to the determination of a sudden change in the rate of change of the offset value during the mutation calculation, the offset value vector mapping data is sliced ​​based on the acquisition time series where the mutation occurred to obtain offset value slice data; wherein, the offset value slice data contains multiple offset value sub-data, and each offset value sub-data corresponds to one acquisition time series; Calculate the acquisition deviation ratio corresponding to the offset slice data; Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value slice data; In response to the fact that no sudden change in the rate of change of the offset value occurred during the mutation calculation, and that the rate of change of the offset value remained constant, the acquisition deviation ratio was calculated based on the offset value vector mapping data corresponding to each acquisition time sequence. Based on the acquisition deviation ratio, configure the deviation correction factor corresponding to each acquisition time sequence in the offset value vector mapping data.

2. The method of claim 1, wherein, The calculation of the acquisition deviation ratio corresponding to the offset slice data includes: Obtain the mutation occurrence time sequence corresponding to the offset value slice data; A first offset parameter is determined based on the mutation occurrence time sequence; wherein, the first offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the mutation occurrence time sequence; Based on the mutation occurrence time sequence corresponding to the previous acquisition time sequence, a corresponding second offset parameter is determined; wherein, the second offset parameter is the time offset value between the electrical acquisition time and the mechanical acquisition time in the previous acquisition time sequence corresponding to the mutation occurrence time sequence; Based on the first offset parameter and the second offset parameter, the acquisition deviation ratio corresponding to the offset value slice data is calculated.

3. The method of claim 2, wherein, The step of calculating the acquisition deviation ratio corresponding to the offset value slice data based on the first offset parameter and the second offset parameter includes: The acquisition deviation ratio is obtained by performing quotient processing based on the first offset parameter and the second offset parameter.

4. The method of claim 1, wherein, The abrupt change calculation based on the rate of change of the offset value of each of the acquisition time series includes: Based on the time offset value corresponding to each of the acquisition time sequences, the cumulative total offset value is determined; wherein, the number of acquisition time sequences is a second number; Based on the cumulative total offset value and the second number, the mutation definition conditions are set; In response to the existence of a rate of change of the offset value satisfying the mutation definition condition, it is determined that the corresponding rate of change of the offset value has undergone a mutation.

5. The method of claim 4, wherein, The step of determining that a sudden change in the corresponding rate of change of the offset value has occurred in response to the existence of a rate of change that satisfies the abrupt change criteria includes: Based on the cumulative total offset value and the second number, the mutation boundary value is calculated; The rate of change of the offset value in the acquisition time series is compared with the mutation threshold value; If the rate of change of the offset value exceeds the mutation threshold, it is determined that a mutation has occurred in the rate of change of the offset value.

6. The method of claim 5, wherein, The step of determining that the rate of change of the offset value has abruptly changed if the rate of change of the offset value exceeds the abrupt change threshold includes: Set a third number; If the rate of change of the offset value corresponding to the third consecutive number of acquisition time sequences exceeds the mutation threshold, it is determined that the rate of change of the offset value has undergone a mutation.

7. The method of claim 6, wherein, The setting of the third number includes: When the mechanical device corresponds to a motor device, the number of time pulses corresponding to a quarter revolution of the bearing of the motor device is obtained; A third number is set such that the third number is less than or equal to the number of time pulses corresponding to a quarter revolution of the bearing of the motor device.

8. The method of claim 4, wherein, The determination of the cumulative total offset value based on the time offset value corresponding to each of the acquisition time sequences includes: Determine the endpoint acquisition sequence from each of the acquisition sequence descriptions; The time offset value corresponding to the time sequence of the endpoint acquisition is determined as the cumulative total offset value.

9. The method of claim 1, wherein, During the operation of the electrical equipment, the electrical monitoring unit is controlled to collect signals from the electrical equipment according to the acquisition reference time to obtain electrical equipment signals, including: Set the first time interval; During the operation of the electrical equipment, the electrical monitoring unit is controlled to perform signal acquisition on the electrical equipment once every first time interval starting from the acquisition reference time, thereby obtaining the electrical equipment signal; wherein, the time when the electrical equipment performs signal acquisition is the electrical acquisition time; Based on each electrical acquisition time corresponding to the electrical equipment signal, generate electrical timestamp information corresponding to each acquisition time sequence.

10. The method of claim 9, wherein, The setting of the first time interval includes: The first crystal oscillator element corresponding to the electrical monitoring unit is determined; wherein, the first crystal oscillator element serves as the clock signal source for the electrical monitoring unit. The first time interval is set based on the minimum reference pulse of the first crystal oscillator.

11. The method of claim 1, wherein, During the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment according to the acquisition reference time to obtain mechanical equipment signals, including: Set a second time interval; During the operation of the mechanical equipment, the mechanical monitoring unit is controlled to collect signals from the mechanical equipment once every second time interval starting from the acquisition reference time, thereby obtaining the mechanical equipment signal; wherein, the time when the mechanical equipment performs signal acquisition is the mechanical acquisition time; Based on each mechanical acquisition time corresponding to the mechanical equipment signal, generate the mechanical timestamp information corresponding to each acquisition time sequence.

12. The method of claim 11, wherein, The setting of the second time interval includes: The second crystal oscillator element corresponding to the mechanical monitoring unit is determined; wherein, the second crystal oscillator element serves as the clock signal source for the mechanical monitoring unit; The second time interval is set based on the minimum reference pulse of the second crystal oscillator.

13. A power plant equipment signal monitoring apparatus characterized by, The power plant equipment signal monitoring method according to any one of claims 1 to 12 includes: A reference time synchronization unit is used to perform reference time synchronization operations on electrical and mechanical equipment in a target power plant to align the acquisition reference time of the electrical and mechanical equipment; wherein the electrical equipment is equipped with an electrical monitoring unit and the mechanical equipment is equipped with a mechanical monitoring unit; An electrical monitoring unit is used to collect signals from the electrical equipment according to the acquisition reference time during the operation of the electrical equipment, thereby obtaining electrical equipment signals; wherein, the timestamp information corresponding to the electrical equipment signals is electrical timestamp information; A mechanical monitoring unit is used to collect signals from the mechanical equipment according to the acquisition reference time during the operation of the mechanical equipment, thereby obtaining mechanical equipment signals; wherein, the timestamp information corresponding to the mechanical equipment signals is mechanical timestamp information; The acquisition time determination unit is used to determine the electrical acquisition time and mechanical acquisition time corresponding to each acquisition sequence based on the electrical timestamp information and the mechanical timestamp information after obtaining the electrical equipment signal and the mechanical equipment signal; The offset calculation unit is used to calculate the time offset between the electrical acquisition time and the mechanical acquisition time for each acquisition time sequence in turn; The correction factor determination unit is used to determine the deviation correction factor corresponding to each acquisition time sequence based on the time offset value corresponding to each acquisition time sequence. The timestamp alignment unit is used to perform timestamp alignment operations on the electrical timestamp information and the mechanical timestamp information in each acquisition time sequence based on the deviation correction factor corresponding to each acquisition time sequence.

14. An electronic device, comprising: include: The device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the power plant equipment signal monitoring method as described in any one of claims 1 to 12.

15. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the power plant equipment signal monitoring method as described in any one of claims 1 to 12.

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