A method, system and computer storage medium for early warning of power equipment fault information

Abstract

The present invention relates to a method, system and computer storage medium for early warning of fault information of electric equipment, wherein the method comprises dividing the working status of different parts of the electric equipment into early warning levels; obtaining the working parameters of the corresponding parts of the electric equipment in real time; and monitoring whether the working parameters exceed the corresponding early warning threshold, wherein the early warning threshold is obtained through the historical working parameters of the electric equipment corresponding to the part in a preset period of time. By dividing the early warning levels of different parts of the electric equipment and using the early warning information of different corresponding parts, the work on the industrial control platform can quickly obtain the early warning information of its corresponding parts, and the parts of the electric equipment are divided so that prediction and maintenance can be carried out in a targeted manner, which is conducive to improving the accuracy and efficiency of the prediction of the electric equipment and reducing the risk of failure during its operation; it can improve the detection accuracy of important parts, which is conducive to enhancing the accuracy of early warning of faults of the electric equipment.

Description

Technical Field

[0001] The present invention relates to the field of electric power equipment, and in particular to an electric power equipment fault information early warning method, system and computer storage medium. Background Art

[0002] The operation and maintenance of power grids has a crucial impact in today's society. Power supply companies must strictly ensure the safe and stable supply of electricity. Accidents often occur in power facilities, which will cause economic losses and casualties once they occur. Fault warning can alarm at the initial stage of the fault, carry out maintenance in time, and reduce the losses caused by power failures.

[0003] After long-term use, the existing early warning devices may damage the internal electrical components of the power equipment due to unstable working voltage, large working current, poor heat dissipation, etc., which affects the use of the power equipment. The maintenance staff of the power equipment cannot make accurate predictions based on the power equipment, and cannot timely and accurately repair the power components of the power equipment located in different positions, which results in cumbersome work and difficult maintenance. Summary of the invention

[0004] Based on this, it is necessary to provide a power equipment fault information early warning method, system and computer storage medium to address the problem that the maintenance personnel of the above-mentioned power equipment cannot make accurate predictions based on the power equipment.

[0005] A method for early warning of fault information of electric power equipment, the method comprising:

[0006] Divide the working status of different parts of power equipment into early warning levels;

[0007] Acquire the working parameters of the corresponding parts of the power equipment in real time; and monitor whether the working parameters exceed the corresponding warning thresholds. If exceeded, send the corresponding warning information to the central control platform, wherein the warning threshold is obtained through the historical working parameters of the corresponding parts of the power equipment during a preset period of time.

[0008] The above-mentioned power equipment fault information early warning method divides the early warning levels of different parts of the power equipment and compares the early warning information of different corresponding parts, so that the work on the industrial control platform can quickly obtain the early warning information of its corresponding parts, which solves the technical problem that the existing technology cannot make accurate predictions based on each device. The parts of the power equipment are divided so that targeted predictions and maintenance can be carried out, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during operation; it can improve the detection accuracy of important parts and is beneficial to enhancing the accuracy of early warning of power equipment faults.

[0009] In one preferred embodiment, the warning threshold is obtained by the historical operating parameters of the power equipment corresponding to the preset period of time, including:

[0010] Recording the operating parameters of different corresponding parts of the electrical equipment;

[0011] The working parameters of the corresponding parts within the preset time period are taken forward from the current moment, and the warning threshold of the corresponding parts is calculated based on the working parameters of the corresponding parts within the preset time period.

[0012] In one preferred embodiment, the warning threshold of the corresponding part is calculated based on the working parameters of the corresponding part within the preset time period, and the warning threshold satisfies:

[0013]

[0014] Where: b ≥ 1,

[0015] In the above formula, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0016] In one preferred embodiment, the step of calculating the warning threshold of the corresponding part according to the working parameters of the corresponding part within the preset time period includes:

[0017] Obtaining the fault threshold of the corresponding part of the power equipment and the mean value information of the working parameters of the corresponding part within the preset time period;

[0018] According to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the warning threshold satisfies:

[0019]

[0020] Where: 0<b≤1,

[0021] In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0022] In one preferred embodiment, the warning level classification of the working status of different parts of the power equipment includes:

[0023] According to the importance of different parts of the power equipment, the warning level is divided into three levels, namely the first level, the second level and the third level.

[0024] In one preferred embodiment, the real-time acquisition of the working parameters of the corresponding parts of the power equipment; and monitoring whether the working parameters exceed the corresponding warning thresholds, if exceeded, sending corresponding warning information to the central control platform, includes:

[0025] If the power equipment is located at the first level and issues a warning message, the corresponding first-level warning message will be sent to the central control platform;

[0026] If the power equipment is located at the second level and issues a warning message, the corresponding second level warning message will be sent to the central control platform;

[0027] If the power equipment is located at the third level and issues a warning message, a corresponding third level warning message will be sent to the central control platform.

[0028] In the above-mentioned embodiment of the present invention, the above-mentioned power equipment fault information early warning method divides the early warning levels of different parts of the power equipment and combines the early warning information of different corresponding parts, so that the work on the industrial control platform can quickly obtain the early warning information of its corresponding parts, thereby solving the technical problem that the prior art cannot make accurate predictions based on each device, and divides the parts of the power equipment so that targeted predictions and maintenance can be made, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during its operation; it can improve the detection accuracy of important parts and is beneficial to enhancing the accuracy of early warnings of power equipment faults.

[0029] An electric power equipment fault information early warning system, comprising:

[0030] The level classification module is used to classify the working status of different parts of the power equipment into early warning levels;

[0031] The early warning monitoring module is used to obtain the working parameters of the corresponding parts of the power equipment in real time; and monitor whether the working parameters exceed the corresponding early warning thresholds. If exceeded, the corresponding early warning information is sent to the central control platform, wherein the early warning threshold is obtained through the historical working parameters of the corresponding parts of the power equipment during a preset period of time.

[0032] In one preferred embodiment, the early warning monitoring module includes:

[0033] A working parameter monitoring unit, used to record working parameters of different corresponding parts of the power equipment;

[0034] The warning information calculation unit is used to obtain the working parameters of the corresponding part within a preset time period according to the current moment, and calculate the warning threshold of the corresponding part according to the working parameters of the corresponding part within the preset time period.

[0035] In one preferred embodiment, the warning information calculation unit includes a device for obtaining a fault threshold of a corresponding part of the power equipment and mean value information of an operating parameter of the corresponding part within the preset time period;

[0036] According to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the warning threshold satisfies:

[0037]

[0038] Where: 0<b≤1,

[0039] In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0040] In the above-mentioned embodiment of the present invention, the above-mentioned power equipment fault information early warning system divides the early warning levels of different parts of the power equipment and compares the early warning information of different corresponding parts, so that the work on the industrial control platform can quickly obtain the early warning information of its corresponding parts, thereby solving the technical problem that the prior art cannot make accurate predictions based on each device, and divides the parts of the power equipment so that targeted predictions and maintenance can be carried out, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during its operation; it can improve the detection accuracy of important parts, which is beneficial to enhancing the accuracy of early warnings of power equipment faults.

[0041] A computer storage medium, characterized in that the computer executable instructions implement the above-mentioned power equipment fault information early warning method when executed by a computer processor.

[0042] In the above-mentioned embodiment of the present invention, the above-mentioned computer storage medium divides the warning levels of different parts of the power equipment through the above-mentioned power equipment fault information warning method, and with the warning information of different corresponding parts, the work on the industrial control platform can quickly obtain the warning information of its corresponding parts, which solves the technical problem that the existing technology cannot make accurate predictions based on each device, divides the parts of the power equipment so that targeted predictions and maintenance can be carried out, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during its operation; it can improve the detection accuracy of important parts, which is beneficial to enhancing the accuracy of power equipment fault warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flow chart of the method for early warning of power equipment fault information in the first preferred embodiment of the present invention;

[0044] Figure 2 This is a flowchart of subdivided steps in step S20 of the power equipment fault information early warning method in the first preferred embodiment of the present invention;

[0045] Figure 3 A schematic diagram of a module of a power equipment fault information early warning system according to a second preferred embodiment of the present invention;

[0046] Figure 4 This is a module schematic diagram of an early warning monitoring module of an electric power equipment fault information early warning system according to a second preferred embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0048] It should be noted that when an element is referred to as being "disposed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0050] like Figure 1 As shown, the first preferred embodiment of the present invention discloses a method for early warning of fault information of electric power equipment, the method comprising:

[0051] S10: Classify the working status of different parts of the power equipment into early warning levels.

[0052] In this step, the working states of different parts of the above-mentioned power equipment can be understood as the working parameters corresponding to the working parts located in different areas of the above-mentioned power equipment. In this embodiment, the warning levels are divided according to the areas where the working parts located in different areas of the power equipment are located. In more detail, the power equipment in this embodiment includes multiple working components, and these working components are respectively located in different working areas. According to different working areas, the multiple working components of the power equipment are divided according to the area. For example, the working components of the above-mentioned power equipment can be distributed in the first working area, the second working area and the third working area, etc. According to the actual situation of the power equipment located in different working areas, the above-mentioned first working area, the second working area and the third working area are respectively divided into three different warning levels.

[0053] In this embodiment, the division of the working areas of the above-mentioned power equipment is not limited to the above-mentioned first working area, second working area and third working area, and the number of the above-mentioned working areas can also be adjusted, increased or decreased according to the actual operation conditions of the power equipment.

[0054] The above three different warning levels can be divided according to the importance of the working parts of the corresponding different parts of the power equipment, and the warning levels are divided into three levels in sequence, namely the first level, the second level and the third level. The present invention can also divide the warning level into other multiple levels according to the actual operation of the power equipment, and is not limited to the above three levels. The basis for dividing the levels can also be other factors of the power equipment, etc., and is not limited to the importance of the working parts.

[0055] S20: Acquire the working parameters of the corresponding parts of the power equipment in real time; and monitor whether the working parameters exceed the corresponding warning thresholds. If exceeded, send corresponding warning information to the central control platform, wherein the warning threshold is obtained through the historical working parameters of the corresponding parts of the power equipment during a preset period of time.

[0056] In the above steps, different corresponding sensors are arranged at each measuring point of different parts of the power equipment, and the corresponding sensors located at different parts are used to collect various working parameters during the operation of the corresponding parts of the power equipment to obtain the measuring point data of the above measuring points. In this embodiment, the collected data can be stored in a database, and preferably, the above database can be an openPlant database. This step can extract the data detected by the sensors at the corresponding parts of the power equipment in real time to obtain the data of each measuring point of the above power equipment; each measuring point data records the collection time, data type and working parameters corresponding to the data type (for example: temperature, air pressure, voltage, current, etc.).

[0057] Next, the working parameters corresponding to the data type are compared with the warning threshold to determine whether the working parameters exceed the warning threshold. If the warning threshold is exceeded, a corresponding warning message is sent to the central control platform. The warning message may include the measurement point data of the corresponding test point that exceeds the warning threshold. The measurement point data displayed on the central control platform may include the location of the measurement point data, the data collection time, the data type and the working parameters corresponding to the data type (temperature, air pressure, voltage, current, etc.).

[0058] As for the above-mentioned warning threshold, in this embodiment, it is obtained by the historical working parameters of the power equipment corresponding to the preset period of time. Specifically, this step can be obtained by analyzing the historical parameters that have been recorded and stored in the above-mentioned database, combined with the corresponding working parameters of the working properties of the corresponding working parts of the power equipment. More specifically, combined Figure 2 As shown, the warning threshold in this step is obtained by the historical working parameters of the power equipment corresponding to the preset period of time, including:

[0059] S21: recording the operating parameters of different corresponding parts of the power equipment;

[0060] S22: obtaining the working parameters of the corresponding part within a preset period of time from the current moment, and calculating the warning threshold of the corresponding part according to the working parameters of the corresponding part within the preset period of time.

[0061] In a preferred embodiment of the present implementation manner, the warning threshold of the corresponding part is calculated based on the working parameters of the corresponding part within the preset time period, and the warning threshold satisfies:

[0062]

[0063] Where: b ≥ 1,

[0064] In the above formula, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0065] It should be noted that the weight information represented by b in the above formula can be adjusted according to the corresponding parameters of the working components of the corresponding parts of the power equipment, so as to obtain the above weight information b.

[0066] In another preferred embodiment of this implementation mode, the warning threshold of the corresponding part is calculated based on the working parameters of the corresponding part within the preset time period, including:

[0067] Obtaining the fault threshold of the corresponding part of the power equipment and the mean value information of the working parameters of the corresponding part within the preset time period;

[0068] According to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the warning threshold satisfies:

[0069]

[0070] Where: 0<b≤1,

[0071] In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0072] It should be noted that the weight information represented by b in the above formula can be adjusted according to the corresponding parameters of the working components of the corresponding parts of the power equipment, so as to obtain the above weight information b.

[0073] In the above-mentioned embodiment of the present invention, the above-mentioned power equipment fault information early warning method divides the early warning levels of different parts of the power equipment and combines the early warning information of different corresponding parts, so that the work on the industrial control platform can quickly obtain the early warning information of its corresponding parts, thereby solving the technical problem that the prior art cannot make accurate predictions based on each device, and divides the parts of the power equipment so that targeted predictions and maintenance can be made, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during its operation; it can improve the detection accuracy of important parts and is beneficial to enhancing the accuracy of early warnings of power equipment faults.

[0074] Combination Figure 3 As shown, the second preferred embodiment of the present invention discloses an electric power equipment fault information early warning system 100 , and the system 100 includes a level classification module 110 and an early warning monitoring module 120 .

[0075] The level classification module 110 is used to classify the working status of different parts of the power equipment into early warning levels.

[0076] Specifically, the level division module 110 can be understood as the working parameters corresponding to the working parts located in different areas of the power equipment through the working states of the different parts of the power equipment. In this embodiment, the warning levels are divided according to the areas where the working parts located in different areas of the power equipment are located. In more detail, the power equipment in this embodiment includes multiple working components, and these working components are respectively located in different working areas. According to the different working areas, the multiple working components of the power equipment are divided according to the areas. For example, the working components of the power equipment can be distributed in the first working area, the second working area and the third working area, etc. According to the actual situation of the power equipment located in different working areas, the first working area, the second working area and the third working area are respectively divided into three different warning levels.

[0077] In this embodiment, the division of the working areas of the above-mentioned power equipment is not limited to the above-mentioned first working area, second working area and third working area, and the number of the above-mentioned working areas can also be adjusted, increased or decreased according to the actual operation conditions of the power equipment.

[0078] The above three different warning levels can be divided according to the importance of the working parts of the corresponding different parts of the power equipment, and the warning levels are divided into three levels in sequence, namely the first level, the second level and the third level. The present invention can also divide the warning level into other multiple levels according to the actual operation of the power equipment, and is not limited to the above three levels. The basis for dividing the levels can also be other factors of the power equipment, etc., and is not limited to the importance of the working parts.

[0079] The early warning monitoring module 120 is used to obtain the working parameters of the corresponding parts of the power equipment in real time; and monitor whether the working parameters exceed the corresponding early warning threshold. If exceeded, the corresponding early warning information is sent to the central control platform, wherein the early warning threshold is obtained through the historical working parameters of the corresponding part of the power equipment during a preset period of time.

[0080] Specifically, the early warning monitoring module 120 arranges corresponding different sensors at each measuring point in different parts of the power equipment, and collects various working parameters during the operation of the corresponding parts of the power equipment through the corresponding sensors located in different parts, so as to obtain the measuring point data of the above-mentioned measuring points. In this embodiment, the collected data can be stored in a database, and preferably, the above-mentioned database can be an openPlant database. This step can extract the data detected by the sensors at the corresponding parts of the power equipment in real time to obtain the data of each measuring point of the above-mentioned power equipment; each measuring point data records the collection time, data type and working parameters corresponding to the data type (for example: temperature, air pressure, voltage, current, etc.).

[0081] Next, the working parameters corresponding to the data type are compared with the warning threshold to determine whether the working parameters exceed the warning threshold. If the warning threshold is exceeded, a corresponding warning message is sent to the central control platform. The warning message may include the measurement point data of the corresponding test point that exceeds the warning threshold. The measurement point data displayed on the central control platform may include the location of the measurement point data, the data collection time, the data type and the working parameters corresponding to the data type (temperature, air pressure, voltage, current, etc.).

[0082] As for the above-mentioned warning threshold, in the present embodiment, it is obtained through the historical working parameters of the corresponding part of the power equipment during a preset period of time. Specifically, this step can be obtained by analyzing the historical parameters recorded and stored in the above-mentioned database and combining the corresponding working parameters of the working properties of the corresponding working parts of the power equipment.

[0083] Combination Figure 4 As shown, the early warning monitoring module 120 includes a working parameter monitoring unit 121 and an early warning information calculation unit 122. Specifically, the working parameter monitoring unit 121 is used to record the working parameters of different corresponding parts of the power equipment; the early warning information calculation unit 122 takes the working parameters of the corresponding parts within a preset period of time from the current moment, and calculates the early warning threshold of the corresponding parts according to the working parameters of the corresponding parts within the preset period of time.

[0084] In a preferred embodiment of the present implementation manner, the warning threshold of the corresponding part is calculated based on the working parameters of the corresponding part within the preset time period, and the warning threshold satisfies:

[0085]

[0086] Where: b ≥ 1,

[0087] In the above formula, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0088] It should be noted that the weight information represented by b in the above formula can be adjusted according to the corresponding parameters of the working components of the corresponding parts of the power equipment, so as to obtain the above weight information b.

[0089] In another preferred embodiment of this implementation mode, the warning threshold of the corresponding part is calculated based on the working parameters of the corresponding part within the preset time period, including:

[0090] Obtaining the fault threshold of the corresponding part of the power equipment and the mean value information of the working parameters of the corresponding part within the preset time period;

[0091] According to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the warning threshold satisfies:

[0092]

[0093] Where: 0<b≤1,

[0094] In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

[0095] It should be noted that the weight information represented by b in the above formula can be adjusted according to the corresponding parameters of the working components of the corresponding parts of the power equipment, so as to obtain the above weight information b.

[0096] In the above-mentioned embodiment of the present invention, the level division module 110 and the warning monitoring module 120 of the above-mentioned power equipment fault information warning system 100, by dividing the warning levels of different parts of the power equipment and the warning information of different corresponding parts, allow the work on the industrial control platform to quickly obtain the warning information of its corresponding parts, thereby solving the technical problem that the prior art cannot make accurate predictions based on each device, and dividing the parts of the power equipment so that targeted predictions and maintenance can be carried out, which is beneficial to improving the accuracy and efficiency of power equipment predictions and reducing the risk of failures during its operation; it can improve the detection accuracy of important parts, which is beneficial to enhancing the accuracy of power equipment fault warnings.

[0097] In another preferred embodiment of the present invention, a computer storage medium is disclosed, wherein the computer executable instructions implement the above-mentioned power equipment fault information early warning method when executed by a computer processor.

[0098] The above-mentioned computer storage medium divides the warning levels of different parts of the power equipment by executing the power equipment fault information warning method, and divides the warning information of different corresponding parts into different levels, so that the work on the industrial control platform can quickly obtain the warning information of the corresponding parts, and then predict the impending fault information of the power equipment.

[0099] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0100] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0101] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0102] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0103] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] The above embodiments only express several implementation methods of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

[0105] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0106] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for early warning of power equipment fault information, characterized in that: The method comprises: Divide the working status of different parts of power equipment into early warning levels; Acquire the working parameters of the corresponding parts of the power equipment in real time; and monitor whether the working parameters exceed the corresponding warning thresholds. If exceeded, send corresponding warning information to the central control platform, wherein the warning threshold is obtained by the historical working parameters of the corresponding parts of the power equipment during a preset period of time; The warning threshold is obtained by the historical working parameters of the power equipment corresponding to the preset time period, including: Obtaining the fault threshold of the corresponding part of the power equipment and the mean value information of the working parameters of the corresponding part within the preset time period; According to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the warning threshold satisfies: Where: 0 <b≤1, In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

2. The method for early warning of power equipment fault information according to claim 1, characterized in that: The early warning level classification of the working status of different parts of the power equipment includes: According to the importance of different parts of the power equipment, the warning level is divided into three levels, namely the first level, the second level and the third level.

3. The method for early warning of power equipment fault information according to claim 2, characterized in that: The real-time acquisition of the working parameters of the corresponding parts of the power equipment; And monitor whether the working parameters exceed the corresponding warning thresholds. If exceeded, send corresponding warning information to the central control platform, including: If the power equipment is located at the first level and issues a warning message, the corresponding first-level warning message will be sent to the central control platform; If the power equipment is located at the second level and issues a warning message, the corresponding second level warning message will be sent to the central control platform; If the power equipment is located at the third level and issues a warning message, a corresponding third level warning message will be sent to the central control platform.

4. A power equipment fault information early warning system, characterized in that: include: The level classification module is used to classify the working status of different parts of the power equipment into early warning levels; The early warning monitoring module is used to obtain the working parameters of the corresponding parts of the power equipment in real time, and monitor whether the working parameters exceed the corresponding early warning thresholds. If exceeded, the corresponding early warning information is sent to the central control platform, wherein the early warning threshold is obtained by the historical working parameters of the corresponding parts of the power equipment during a preset period of time; The early warning monitoring module includes: A working parameter monitoring unit, used to record working parameters of different corresponding parts of the power equipment; The early warning information calculation unit is used to obtain the working parameters of the corresponding parts within the preset time period according to the current moment, and calculate the early warning threshold of the corresponding parts according to the working parameters of the corresponding parts within the preset time period. The early warning information calculation unit includes a method for obtaining the fault threshold of the corresponding parts of the power equipment and the mean value information of the working parameters of the corresponding parts within the preset time period; and according to the fault threshold, the mean value information of the working parameters of the corresponding parts within the preset time period, and the weight information corresponding to the working parameters, the early warning threshold satisfies: Where: 0 <b≤1, In the above formula, H is the fault threshold, E is the warning threshold, is the mean information of the working parameters of the corresponding parts within the preset time period, and b is the weight information.

5. A computer storage medium, characterized in that: When the computer executable instructions are executed by a computer processor, the electric power equipment fault information early warning method according to any one of claims 1 to 3 is implemented.

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