Methods, systems, media, and equipment for calculating the operating status of icing monitoring devices

Abstract

This invention discloses a method, system, medium, and equipment for calculating the operational status of an icing monitoring device. The method includes: acquiring operational status monitoring data and product-related data of the icing monitoring device; calculating online rate, integrity rate, and accuracy rate indicators based on the operational status monitoring data to obtain an operational evaluation score for the icing monitoring device; calculating equipment inventory, technical support, operator complaint, equipment accident, equipment event, and batch defect indicators based on the product-related data; and obtaining a comprehensive evaluation score for the icing monitoring device based on the integrity rate, accuracy rate, online rate, equipment inventory, technical support, operator complaint, equipment accident, equipment event, and batch defect indicators. This invention enables an effective, unified, and comprehensive evaluation of icing monitoring devices.

Description

Technical Field

[0001] This invention relates to the field of power system transmission technology, and in particular to a method, system, medium and equipment for calculating the operating status of an icing monitoring device. Background Technology

[0002] Icing monitoring devices for transmission lines enable real-time monitoring and early warning of icing conditions on overhead transmission lines during winter, playing a crucial role in ensuring the safe, reliable, and stable operation of the power system. However, due to the inconsistent quality of icing monitoring devices and the harsh operating environment, the reliability of their operation is questionable. Currently, there is no method to measure the icing status of icing monitoring devices in operation. Summary of the Invention

[0003] The purpose of this invention is to provide a method, system, medium, and equipment for calculating the operating status of an icing monitoring device, so as to solve the problem that the existing technology does not have the ability to quantitatively calculate the operating status of the icing monitoring device. Based on the operating status of the icing monitoring device, this invention can effectively, uniformly, and comprehensively evaluate the icing monitoring device.

[0004] This invention provides a method for calculating the operating status of an icing monitoring device, including:

[0005] Acquire operational status monitoring data and product-related data of the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects;

[0006] The integrity rate, accuracy rate, and online rate of the icing monitoring device are calculated based on the operational status monitoring data.

[0007] Based on the product-related data, the following indicators are calculated: equipment inventory index reflecting the stock of icing monitoring devices; technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units; operating unit complaint index reflecting complaints against icing monitoring devices; equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices; equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices; and batch defect index reflecting the quality problems of the icing monitoring devices during production.

[0008] The comprehensive evaluation score of the icing monitoring device is obtained based on the completeness rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index.

[0009] Furthermore, the method also includes:

[0010] Acquire operational status monitoring data and product-related data of the icing monitoring device within a preset period.

[0011] Furthermore, the method also includes:

[0012] The operational evaluation score of the icing monitoring device is obtained based on the online rate index, the integrity rate index, and the accuracy rate index.

[0013] Based on the operational calculation score, it is determined whether the icing monitoring device is operating normally.

[0014] Furthermore, the step of calculating the equipment inventory index reflecting the inventory of icing monitoring devices based on the product-related data specifically includes:

[0015] Based on the data reflecting product quality in terms of equipment inventory, normalization was used to calculate the equipment inventory index reflecting the inventory of icing monitoring devices.

[0016] The present invention also provides a real-time example of an operating status calculation system for an icing monitoring device, comprising:

[0017] The data acquisition module is used to acquire the operating status monitoring data and product-related data of the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects;

[0018] The operation status monitoring data calculation module is used to calculate the integrity rate, accuracy rate, and online rate of the icing monitoring device based on the operation status monitoring data.

[0019] The product association data calculation module is used to calculate, based on the product association data, an equipment inventory index reflecting the stock of icing monitoring devices, a technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units, an operating unit complaint index reflecting complaints against icing monitoring devices, an equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices, an equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices, and a batch defect index reflecting the quality problems of the icing monitoring devices at the time of production.

[0020] The comprehensive calculation and scoring module is used to obtain the comprehensive calculation and scoring of the icing monitoring device based on the integrity rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index.

[0021] Furthermore, the system also includes:

[0022] The preset period data acquisition module is used to acquire the operating status monitoring data and product-related data of the icing monitoring device within a preset period.

[0023] Furthermore, the system also includes:

[0024] The operation calculation and scoring module is used to obtain the operation calculation score of the icing monitoring device based on the online rate index, the integrity rate index, and the accuracy rate index; and to determine whether the icing monitoring device is operating normally based on the operation calculation score.

[0025] Furthermore, the product association data calculation module includes:

[0026] The equipment inventory unit is used to calculate the equipment inventory index, which reflects the inventory of icing monitoring devices, based on data reflecting product quality in terms of equipment inventory, using normalization processing.

[0027] This invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the operating status calculation method of the icing monitoring device described in any of the above embodiments.

[0028] This invention also provides a device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method for calculating the operating status of the icing monitoring device described in any of the preceding claims.

[0029] Compared with existing technologies, the present invention provides a method, system, medium, and equipment for calculating the operating status of an icing monitoring device. By acquiring operating status monitoring data and product-related data from the icing monitoring device, it calculates indicators such as completeness rate, accuracy rate, online rate, equipment inventory, technical support, operator complaint rate, equipment accident rate, equipment event rate, and batch defect rate to obtain a comprehensive evaluation score for the icing monitoring device. The present invention enables objective and quantifiable calculations based on the operating status of the icing monitoring device, achieving an effective, unified, and comprehensive evaluation of the device. Attached Figure Description

[0030] Figure 1 This is a flowchart of a preferred embodiment of a method for calculating the operating status of an icing monitoring device provided by the present invention;

[0031] Figure 2 This is a structural block diagram of a preferred embodiment of the operating status calculation system for an icing monitoring device provided by the present invention;

[0032] Figure 3 This is a structural block diagram of a preferred embodiment of the device provided by the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] This invention provides a method for calculating the operating status of an icing monitoring device, see [link to relevant documentation]. Figure 1 The diagram shown is a flowchart of a preferred embodiment of a method for calculating the operating status of an icing monitoring device provided by the present invention. The method includes:

[0035] S11. Obtain the operating status monitoring data and product-related data of the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects;

[0036] S12. Calculate the integrity rate, accuracy rate, and online rate of the icing monitoring device based on the operational status monitoring data.

[0037] S13. Based on the product-related data, calculate the following indicators: equipment inventory index reflecting the stock of icing monitoring devices; technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units; operating unit complaint index reflecting complaints against icing monitoring devices; equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices; equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices; and batch defect index reflecting the quality problems of the icing monitoring devices during production.

[0038] S14. Based on the completeness rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index, the comprehensive calculation score of the icing monitoring device is obtained.

[0039] As an improvement to the above solution, the method further includes:

[0040] Acquire operational status monitoring data and product-related data of the icing monitoring device within a preset period.

[0041] It is understood that the operational status monitoring data includes monitoring data from the icing monitoring device, monitoring data from the sensors of the icing monitoring device, and non-abnormal monitoring data from the sensors of the icing monitoring device; the sensors of the icing monitoring device include tension sensors, temperature sensors, humidity sensors, and image sensors.

[0042] As an improvement to the above solution, the online rate index of the icing monitoring device is calculated based on the number of monitoring data points. The online rate index reflects the online rate of the icing monitoring device within a preset period.

[0043]

[0044] Among them, OR ij Let be the online rate score of the icing monitoring device of the ith supplier for the jth type, and n be the total number of icing monitoring devices of the ith supplier connected to the main station, i≥1, where i is an integer and j≥1, where j is an integer.

[0045] Online status is determined on a daily basis, and the object is a single icing monitoring device. The online status rule is that the icing monitoring device is considered online if it uploads at least one monitoring data point (including heartbeat) on that day.

[0046]

[0047] Among them, O kThe score represents the online rate on day k. If the user is online, the score is 1; otherwise, it is 0. T is the preset period.

[0048] Understandably, when the icing monitoring device uploads at least one data entry on day k, the online rate score of the icing monitoring device on day k is O. k =1.

[0049] As an improvement to the above solution, the integrity rate index of the icing monitoring device is calculated based on the number of monitoring data points from the sensors of the icing monitoring device; the integrity rate index reflects the data integrity of each sensor of the icing monitoring device within a preset period.

[0050]

[0051] Among them, CR ij SR represents the data integrity score of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the integrity score of the m-th sensor of the j-th type of icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type of icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer.

[0052] The completeness rate is judged on a daily basis, and the object is all sensors of a single icing monitoring device. The judgment rule is that the number of data entries uploaded by each sensor of the icing monitoring device on that day is not less than a preset first quantity threshold.

[0053]

[0054] Among them, SS m A represents the full score of the integrity rate corresponding to the m-th sensor; km The integrity score of the m-th sensor on day k is 1 if the number of uploaded monitoring data is not less than the preset first quantity threshold, otherwise it is 0. T is the preset period.

[0055] The preset first quantity threshold includes:

[0056] When the sensor is a tension sensor, the preset first quantity threshold is 40.

[0057] When the sensor is a temperature sensor, the preset first quantity threshold is 40.

[0058] When the sensor is an image sensor, the preset first quantity threshold is 4 images.

[0059] Understandably, when the m-th tension sensor of the icing monitoring device uploads no fewer than 40 monitoring data points on day k, the integrity score of the m-th sensor on day k is A. km =1.

[0060] As an improvement to the above solution, the accuracy index of the icing monitoring device is calculated based on the number of non-abnormal monitoring data points from the sensors of the icing monitoring device; the accuracy index reflects the accuracy of the data from each sensor of the icing monitoring device within a preset evaluation period.

[0061]

[0062] Among them, AR ij SG represents the accuracy score of the monitoring data of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the accuracy score of the m-th sensor of the j-th type icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer.

[0063] Accuracy assessment is performed on a daily basis, targeting all sensors of a single device. Abnormal monitoring data from the sensors must first be filtered out according to established rules, and the amount of monitoring data within the normal range must be counted. The assessment rule is that the number of non-abnormal monitoring data entries uploaded by each sensor of the icing monitoring device on that day must not be less than a preset second threshold.

[0064]

[0065] Among them, SS′ m A′ is the full score for the accuracy corresponding to the m-th sensor. km The accuracy score for the m-th sensor on day k is 1 if the number of uploaded non-abnormal monitoring data is not less than the preset second quantity threshold, otherwise it is 0. T is the preset period.

[0066] The preset second quantity threshold includes:

[0067] When the sensor is a tension sensor, the preset second quantity threshold is 30.

[0068] When the sensor is a temperature sensor, the preset second quantity threshold is 30.

[0069] When the sensor is an image sensor, the preset second quantity threshold is 2 images.

[0070] It is understandable that when the m-th tension sensor of the icing monitoring device uploads no fewer than 30 non-abnormal monitoring data points on day k, the accuracy score A′ of the m-th sensor on day k is... km =1.

[0071] In the above embodiments, when the monitoring data uploaded by the icing monitoring device does not meet the preset abnormal conditions, the data uploaded by the icing monitoring device is determined to be non-abnormal monitoring data.

[0072] The preset abnormal conditions are shown in Table 1:

[0073]

[0074] Table 1

[0075] As an improvement to the above solution, the method further includes:

[0076] The operational evaluation score of the icing monitoring device is obtained based on the online rate index, the integrity rate index, and the accuracy rate index.

[0077] Based on the operational calculation score, it is determined whether the icing monitoring device is operating normally.

[0078] In one specific embodiment, the online rate index, the integrity rate index, and the accuracy rate index are added together to obtain the operation calculation score of the icing monitoring device. When the operation calculation score is not lower than the preset defect-free operation threshold of the icing monitoring device, a normal signal is output to determine that the icing monitoring device is operating normally; otherwise, an alarm signal is output.

[0079] In another preferred embodiment, the step of calculating the equipment inventory index reflecting the inventory of icing monitoring devices based on the product-related data specifically includes:

[0080] Based on the data reflecting product quality in terms of equipment inventory, normalization was used to calculate the equipment inventory index reflecting the inventory of icing monitoring devices.

[0081] Specifically, in conjunction with the above embodiments, the inventory index EI is determined by the number of icing monitoring devices in operation. To standardize the evaluation method, the number of devices at different orders of magnitude is normalized:

[0082]

[0083]

[0084]

[0085] Where, N iIt is the number of icing monitoring devices in operation of the i-th supplier, max(N) i EIN represents the maximum number of icing monitoring devices in operation from each supplier. i A is the normalized value of the number of icing monitoring devices in operation from the i-th supplier. i EI is the calculation process value, and EI is the inventory score of the i-th supplier's icing monitoring device.

[0086] Specifically, in conjunction with the above embodiments, based on the data reflecting product quality in terms of technical support scores, a technical support index is calculated to reflect the technical support provided by the icing monitoring device manufacturer to the operating units; the technical support index TS reflects the supplier's technical support to the equipment operating units. Considering that the number of equipment operating units is generally greater than 1, the technical support index TS is taken as a weighted average, and the calculation method is as follows:

[0087]

[0088] Among them, ZC p The supplier technical support score given for the p-th operating unit, with a score range of [0, 10]; n p q represents the number of supplier products used by the p-th operating unit; q represents the total number of operating units participating in the scoring.

[0089] Specifically, in conjunction with the above embodiments, based on data reflecting product quality complaints from operating units, an operating unit complaint index (OC) is calculated to reflect complaints about the icing monitoring device. The operating unit complaint index (OC) is calculated by deducting points based on the number of complaints against the icing monitoring device, and is directly related to the operating unit's experience with the equipment. Preferably, based on data reflecting product quality complaints from operating units, the operating unit complaint index is calculated according to preset complaint rules. For example, for complaints from operating units against suppliers, the complaint levels are categorized as major, minor, and slight, with 4 points, 2 points, and 1 point deducted for each complaint, respectively. The complaint validity period is 3 years.

[0090] Specifically, in conjunction with the above embodiments, based on data reflecting product quality in equipment accidents and power safety accidents, an equipment accident index (SA) is calculated to reflect equipment accidents and power safety accidents caused by the quality of the icing monitoring device. The equipment accident index SA is a deduction item, reflecting the situation of equipment accidents and power safety accidents caused by the quality of the icing monitoring device. The calculation method is as follows:

[0091] SA = -10 * SF

[0092] SF represents the number of accidents caused by quality issues with the icing monitoring device.

[0093] For example, if the i-th supplier causes one power safety accident due to its product quality problem during the evaluation period, the equipment accident SA = -10, that is, 10 points are deducted.

[0094] Specifically, in conjunction with the above embodiments, based on data reflecting product quality in equipment incidents and power safety incidents, an equipment incident index (SE) is calculated to reflect equipment incidents and power safety incidents caused by the quality of the icing monitoring device. The equipment incident index SE is a deduction item, reflecting the situation of equipment incidents and power safety incidents caused by the quality of the icing monitoring device. The calculation method is as follows:

[0095] SE=-8*(SJ1+SJ2)-6*(SJ3+SJ4+SJ5)

[0096] Among them, SJ h The h-level events caused by the quality of the icing monitoring device are represented by h = 1 to 5.

[0097] For example, if the i-th supplier causes one Level 1 power safety incident and two Level 5 power safety incidents due to its product quality issues during the evaluation period, the equipment event SE = -8*1 - 6*2 = -20, which means a deduction of 20 points.

[0098] Specifically, in conjunction with the above embodiments, based on data reflecting batch defects in product quality, a batch defect index (BD) is calculated to reflect the quality problems present when the icing monitoring device leaves the factory. The batch defect index BD is scored according to the supplier's discovery and handling of batch defects, reflecting the quality problems present when the icing monitoring device leaves the factory. Suppliers are encouraged to proactively discover and report batch defects and actively cooperate in rectification; otherwise, heavier deductions will be imposed. For example:

[0099] (1) No points will be deducted if the supplier can take the initiative to recall and arrange replacement and repair.

[0100] (2) If the supplier only proactively explains the situation and actively cooperates with the recall and rectification when the batch defects and latent fault defects of the products are discovered by the operating unit, 2 points will be deducted per case, and the points will be valid for 3 years from the time of deduction.

[0101] (3) For concealing batch defects, failing to proactively recall, or failing to cooperate with rectification, 8 points will be deducted per case. The 8-point deduction will remain valid until 3 years after the supplier completes the rectification.

[0102] Understandably, the evaluation domain for technical support information such as defects is usually a power supply bureau, a provincial power company, or a regional power grid.

[0103] In this embodiment, the comprehensive evaluation score ∑EOE of the icing monitoring device is obtained based on the integrity rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index.

[0104] ∑EQE=∑EOE+∑COE-∑ROE=(EI+TS-OC)+(OR+CR+AR)+SA+SE-BD

[0105] Where ∑EOE is the equipment efficiency index, ∑COE is the equipment cost index, and ∑ROE is the equipment risk index.

[0106] The comprehensive evaluation score of the icing monitoring device is shown in Table 2:

[0107]

[0108] Table 2

[0109] It should be noted that the minimum score for the online rate, completeness rate, and accuracy rate indicators is 0, and they cannot be negative; the score for the user base indicator is 10-25 points. The score for the technical support indicator is 0-10 points.

[0110] As an improvement to the above scheme, if the comprehensive calculation result ∑EOE is not lower than the preset safe operation threshold, the supplier of the icing monitoring device is determined to be trustworthy; otherwise, the supplier of the icing monitoring device is determined to be untrustworthy, and an alarm signal is output.

[0111] The calculation method for icing monitoring devices provided in this invention can be applied to the front-end of asset lifecycle management in power companies, such as the planning and design of icing monitoring devices and the procurement of materials. It can evaluate the quality of supplier products and provide feedback to the equipment grid connection procurement process, which helps to improve the quality of equipment grid connection.

[0112] This invention provides an operational status calculation system for an icing monitoring device, see [link to relevant documentation]. Figure 2 The diagram shown is a structural block diagram of a preferred embodiment of an icing monitoring device operation status calculation system provided by the present invention. The system includes:

[0113] The data acquisition module 21 is used to acquire the operating status monitoring data and product-related data of the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects.

[0114] The operation status monitoring data calculation module 22 is used to calculate the integrity rate, accuracy rate and online rate of the icing monitoring device based on the operation status monitoring data.

[0115] The product association data calculation module 23 is used to calculate, based on the product association data, an equipment inventory index reflecting the stock of icing monitoring devices, a technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units, an operating unit complaint index reflecting complaints against icing monitoring devices, an equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices, an equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices, and a batch defect index reflecting the quality problems of the icing monitoring devices at the time of production.

[0116] The comprehensive calculation and scoring module 24 is used to obtain the comprehensive calculation and scoring of the icing monitoring device based on the integrity rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index.

[0117] Preferably, the system further includes:

[0118] The preset period data acquisition module is used to acquire the operating status monitoring data and product-related data of the icing monitoring device within a preset period.

[0119] Preferably, the system further includes:

[0120] The operation calculation and scoring module is used to obtain the operation calculation score of the icing monitoring device based on the online rate index, the integrity rate index, and the accuracy rate index; and to determine whether the icing monitoring device is operating normally based on the operation calculation score.

[0121] Preferably, the product association data calculation module includes:

[0122] The equipment inventory unit is used to calculate the equipment inventory index, which reflects the inventory of icing monitoring devices, based on data reflecting product quality in terms of equipment inventory, using normalization processing.

[0123] The technical support unit is used to calculate technical support indicators that reflect the technical support provided by the manufacturer of the icing monitoring device to the operating unit, based on data reflecting product quality in the technical support score.

[0124] The operating unit complaint unit is used to calculate the operating unit complaint index reflecting complaints about the icing monitoring device based on data reflecting product quality in operating unit complaints.

[0125] The equipment accident unit is used to calculate equipment accident indicators that reflect equipment accidents and power safety accidents caused by the quality of the icing monitoring device, based on data reflecting product quality in terms of equipment accidents and power safety accidents.

[0126] The equipment event unit is used to calculate equipment event indicators that reflect equipment events and power safety events caused by the quality of the icing monitoring device, based on data reflecting product quality in terms of equipment events and power safety events.

[0127] The batch defect unit is used to calculate batch defect indicators that reflect the quality problems of the ice monitoring device when it is produced, based on data reflecting the batch defects of product quality.

[0128] It should be noted that the operating status calculation system for an icing monitoring device provided in this embodiment of the invention can realize all the processes of the operating status calculation method for an icing monitoring device described in any of the above embodiments. The functions and technical effects of each module and unit in the system are the same as those of the operating status calculation method for an icing monitoring device described in the above embodiments, and will not be repeated here.

[0129] This invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the method for calculating the operating status of the icing monitoring device described in any of the above embodiments.

[0130] This invention also provides a device, see [link to device]. Figure 3 The diagram shown is a structural block diagram of a preferred embodiment of a device provided by the present invention. The device includes a processor 10, a memory 20, and a computer program stored in the memory 20 and configured to be executed by the processor 10. When the processor 10 executes the computer program, it implements the method for calculating the operating status of the icing monitoring device described in any of the above embodiments.

[0131] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory 20 and executed by the processor 10 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the device.

[0132] The processor 10 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor 10 may be any conventional processor. The processor 10 is the control center of the device, connecting various parts of the device through various interfaces and lines.

[0133] The memory 20 mainly includes a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc., while the data storage area can store related data, etc. Furthermore, the memory 20 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), and a flash card, or other volatile solid-state storage devices.

[0134] It should be noted that the aforementioned devices may include, but are not limited to, processors and memory, as will be understood by those skilled in the art. Figure 3 The structural block diagram is merely an example of the device described above and does not constitute a limitation on the device. It may include more or fewer components than shown in the diagram, or combine certain components, or use different components.

[0135] This invention provides a method, system, medium, and equipment for calculating the operational status of an icing monitoring device. By acquiring operational status monitoring data and product-related data from the icing monitoring device, it calculates indicators such as completeness rate, accuracy rate, online rate, equipment inventory, technical support, operator complaint rate, equipment accident rate, equipment event rate, and batch defect rate to obtain a comprehensive evaluation score for the icing monitoring device. This invention enables objective and quantifiable calculations based on the operational status of the icing monitoring device, achieving an effective, unified, and comprehensive evaluation of the device.

[0136] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for calculating the operating status of an icing monitoring device, characterized in that, include: Acquire operational status monitoring data and product-related data from the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects; the icing monitoring device includes a tension sensor, a temperature sensor, a humidity sensor, and an image sensor; The integrity rate, accuracy rate, and online rate of the icing monitoring device are calculated based on the operational status monitoring data. Based on the product-related data, the following indicators are calculated: equipment inventory index reflecting the stock of icing monitoring devices; technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units; operating unit complaint index reflecting complaints against icing monitoring devices; equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices; equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices; and batch defect index reflecting the quality problems of the icing monitoring devices during production. The comprehensive evaluation score of the icing monitoring device is obtained based on the completeness rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index. Among them, according to Calculate the completeness rate index; where CR ij SR represents the data integrity score of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the integrity score of the m-th sensor of the j-th type of icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type of icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer; according to Calculate the accuracy metric; where AR ij SG represents the accuracy score of the monitoring data of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the accuracy score of the m-th sensor of the j-th type icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer; according to Calculate the online rate metric; where, OR ij The online rate score of the icing monitoring device of the ith supplier is n, where n is the total number of icing monitoring devices of the ith supplier connected to the main station, i≥1, i is an integer, j≥1, and j is an integer. according to Calculate the aforementioned inventory index; where N i It is the number of icing monitoring devices in operation of the i-th supplier, max(N) i A represents the maximum number of icing monitoring devices in operation from each supplier. i It is a value calculated during the process. EIN i It is the normalized value of the number of icing monitoring devices in operation from the i-th supplier. according to Calculate the aforementioned technical support indicators; where ZC p The supplier technical support score given for the p-th operating unit, with a score range of [0, 10]; n p q represents the number of supplier products used by the p-th operating unit; q represents the total number of operating units participating in the scoring. The complaint index of the operating unit is calculated based on the number of complaints received about the icing monitoring device; The equipment accident index is calculated based on SA = -10*SF; where SF is the number of accidents caused by the quality of the icing monitoring device. The equipment event index is calculated based on SE = -8*(SJ1+SJ2)-6*(SJ3+SJ4+SJ5); where SJ... h The number of h-level events caused by quality issues with the icing monitoring device, where h = 1 to 5; The batch defect index is calculated based on the supplier's batch defect discovery and handling situation. The comprehensive evaluation score is calculated based on ∑EQE=∑EOE+∑COE-∑ROE=(EI+TS-OC)+(OR+CR+AR)+SA+SE-BD; where ∑EOE is the equipment efficiency index, ∑COE is the equipment cost index, ∑ROE is the equipment risk index, EI is the equipment inventory index, TS is the technical support index, OC is the operating unit complaint index, OR is the online rate index, CR is the integrity rate index, AR is the accuracy rate index, SA is the equipment accident index, SE is the equipment incident index, and BD is the batch defect index. The method further includes: The operational evaluation score of the icing monitoring device is obtained based on the online rate index, the integrity rate index, and the accuracy rate index. Based on the operational calculation score, it is determined whether the icing monitoring device is operating normally.

2. The method for calculating the operating status of the icing monitoring device as described in claim 1, characterized in that, The method further includes: Acquire operational status monitoring data and product-related data of the icing monitoring device within a preset period.

3. A system for calculating the operating status of an icing monitoring device, characterized in that, include: The data acquisition module is used to acquire operational status monitoring data and product-related data of the icing monitoring device; wherein, the product-related data includes data reflecting product quality in terms of equipment inventory, technical support score, operating unit complaints, equipment accidents and power safety accidents, equipment incidents and power safety incidents, and batch defects; the icing monitoring device includes a tension sensor, a temperature sensor, a humidity sensor, and an image sensor; The operation status monitoring data calculation module is used to calculate the integrity rate, accuracy rate, and online rate of the icing monitoring device based on the operation status monitoring data. The product association data calculation module is used to calculate, based on the product association data, an equipment inventory index reflecting the stock of icing monitoring devices, a technical support index reflecting the technical support provided by icing monitoring device manufacturers to operating units, an operating unit complaint index reflecting complaints against icing monitoring devices, an equipment accident index reflecting equipment accidents and power safety accidents caused by the quality of icing monitoring devices, an equipment event index reflecting equipment incidents and power safety incidents caused by the quality of icing monitoring devices, and a batch defect index reflecting the quality problems of the icing monitoring devices at the time of production. The comprehensive calculation and scoring module is used to obtain the comprehensive calculation and scoring of the icing monitoring device based on the completeness rate index, the accuracy rate index, the online rate index, the equipment inventory index, the technical support index, the operating unit complaint index, the equipment accident index, the equipment event index, and the batch defect index. Among them, according to Calculate the completeness rate index; where CR ij SR represents the data integrity score of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the integrity score of the m-th sensor of the j-th type of icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type of icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer; according to Calculate the accuracy metric; where AR ij SG represents the accuracy score of the monitoring data of the j-th type of icing monitoring device from the i-th supplier. jm Let d be the accuracy score of the m-th sensor of the j-th type icing monitoring device of the i-th supplier, d be the number of sensors of the j-th type icing monitoring device of the i-th supplier, n be the total number of icing monitoring devices of the i-th supplier connected to the main station, i≥1, i is an integer, j≥1, j is an integer, m≥1, m is an integer; according to Calculate the online rate metric; where, OR ij The online rate score of the icing monitoring device of the ith supplier is n, where n is the total number of icing monitoring devices of the ith supplier connected to the main station, i≥1, i is an integer, j≥1, and j is an integer. according to Calculate the aforementioned inventory index; where N i It is the number of icing monitoring devices in operation of the i-th supplier, max(N) i A represents the maximum number of icing monitoring devices in operation from each supplier. i It is a value calculated during the process. EIN i It is the normalized value of the number of icing monitoring devices in operation from the i-th supplier. according to Calculate the aforementioned technical support indicators; where ZC p The supplier technical support score given for the p-th operating unit, with a score range of [0, 10]; n p q represents the number of supplier products used by the p-th operating unit; q represents the total number of operating units participating in the scoring. The complaint index of the operating unit is calculated based on the number of complaints received about the icing monitoring device; The equipment accident index is calculated based on SA = -10*SF; where SF is the number of accidents caused by the quality of the icing monitoring device. The equipment event index is calculated based on SE = -8*(SJ1+SJ2)-6*(SJ3+SJ4+SJ5); where SJ... h The number of h-level events caused by quality issues with the icing monitoring device, where h = 1 to 5; The batch defect index is calculated based on the supplier's batch defect discovery and handling situation. The comprehensive evaluation score is calculated based on ∑EQE=∑EOE+∑COE-∑ROE=(EI+TS-OC)+(OR+CR+AR)+SA+SE-BD; where ∑EOE is the equipment efficiency index, ∑COE is the equipment cost index, ∑ROE is the equipment risk index, EI is the equipment inventory index, TS is the technical support index, OC is the operating unit complaint index, OR is the online rate index, CR is the integrity rate index, AR is the accuracy rate index, SA is the equipment accident index, SE is the equipment incident index, and BD is the batch defect index. The system also includes: The operation calculation and scoring module is used to obtain the operation calculation score of the icing monitoring device based on the online rate index, the integrity rate index, and the accuracy rate index; and to determine whether the icing monitoring device is operating normally based on the operation calculation score.

4. The operating status calculation system for the icing monitoring device as described in claim 3, characterized in that, The system also includes: The preset period data acquisition module is used to acquire the operating status monitoring data and product-related data of the icing monitoring device within a preset period.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program; wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the method for calculating the operating status of the icing monitoring device as described in any one of claims 1 to 2.

6. A device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the method for calculating the operating status of the icing monitoring device as described in any one of claims 1 to 2.

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