Digital cockpit data management system and method based on data visualization
By analyzing historical early warning records and facility operation status of sensor data, and dynamically adjusting the data collection interval, the problems of data lag and redundancy caused by sensor data collection frequency are solved, and a balance between data real-time performance and system stability is achieved.
Patent Information
- Application Number
- CN202512011879.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-07
AI Technical Summary
In existing technologies, the low frequency of sensor data acquisition in power plants leads to data lag and an inability to accurately reflect the real-time status, while the high frequency generates massive amounts of redundant data, increasing system load and affecting stability.
By analyzing historical early warning records and facility operation status of sensor data, the data collection interval on the digital cockpit is dynamically adjusted, and the collection frequency is optimized in combination with resource occupancy values to ensure data real-time performance and system stability.
It enables real-time reflection of sensor data in the digital cockpit, reduces redundant data, and improves the reliability and stability of system operation.
Smart Images
Figure CN121813672A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of data management, and particularly relates to a digital cockpit data management system and method based on data visualization. BACKGROUND
[0002] Power sites often visualize each block data in the digital cockpit, integrate scattered information into intuitive charts and indicators, help decision-makers quickly grasp the overall business situation, discover potential trends and problems, and thus improve the accuracy and efficiency of decision-making, and provide strong data support for strategic adjustment and business optimization. Among them, the cockpit display interface aggregates a large amount of sensor data that needs to be updated in time. In order to ensure the real-time and effectiveness of the sensor data of the power site, the collection frequency of various sensor data needs to be set in advance through a timing task, but if the collection frequency is too low, the data will lag behind and cannot truly reflect the real-time state, and if the frequency is too high, it will produce a large amount of redundant data, increase the load of system transmission, processing and storage, and even affect the overall operation stability. SUMMARY
[0003] The present application aims to provide a digital cockpit data management system and method based on data visualization to solve the defects of the prior art.
[0004] To solve the above technical problems, the technical solution adopted by the present application is: The digital cockpit data management method based on data visualization comprises the following steps: All real-time updated sensor data in the digital cockpit are obtained, and the unique power facility monitored by each sensor data in the power site is taken as the target facility corresponding to the sensor data. According to the processing link of the target facility corresponding to the sensor data, all affected facilities of the target facility are obtained, and then the first target value of the sensor data is obtained; The historical warning records of the target facility are called, the log entries corresponding to the sensor data are extracted according to the warning time corresponding to the warning records, the feature records in the warning records are obtained, and the target time length of the feature records is obtained. According to the feature records of the target facility in the running stage and the shutdown stage, the total target value of the sensor data in the running stage and the shutdown stage of the target facility is obtained; The reference time interval range monitored by the sensor data is obtained, the target facility is monitored according to different time intervals, and the resource occupation value in the monitoring process is obtained. According to the reference time interval range and the total target value of the sensor data in the running stage and the shutdown stage of the target facility, the initial time interval of the sensor data displayed on the digital cockpit is obtained; Based on the resource occupancy value, the initial time interval is iterated to obtain the final time interval for the sensor data to be displayed on the digital cockpit, and the sensor data on the digital cockpit is collected according to the final time interval.
[0005] The aforementioned first target value of obtaining the sensor data includes: acquiring the processing steps of each power facility within the power site; designating the target facility corresponding to a certain sensor data S as F; if a certain power facility F0 receives the processing result from the target facility F, then designating power facility F0 as an affected facility of the target facility F; designating the total number of affected facilities of the target facility F as N, and thus obtaining the first target value X1 = 1 - e of the sensor data S. -(1+N) .
[0006] The target duration for obtaining the aforementioned feature records includes: Retrieve several historical early warning records from the target facility F, extract the early warning time P corresponding to a specific early warning record, and use the normal value range of the sensor data S as R. S Extract all log entries recorded by the sensor data S within the warning time P. If there is a log entry whose corresponding sensor value is outside the normal range R... S Within this context, a specific early warning record is used as a feature record, thereby obtaining all feature records; Obtain the warning time P corresponding to a certain feature record Q. Q The warning time P Q The earliest time when the internal sensor value is outside the normal range is taken as T0. Several monitoring periods with a duration of D are randomly selected before time T0. Sensor values of several times are randomly extracted from each monitoring period. The monitoring period with the variance between all sensor values less than a preset variance threshold, all sensor values within the normal range, and closest to time T0 is taken as the target period. The duration between the latest time of the target period and time T0 is taken as the target duration of feature record Q, and thus the target duration of each feature record is obtained.
[0007] The total target value of the aforementioned obtained sensor data during the operation and shutdown phases of the target facility includes: Extract several feature records of the target facility F during its operation phase, and average the target duration of all feature records to obtain the first target duration D1 of the sensing data S. S This allows us to obtain the first target duration for each sensor data point, with the maximum value being taken as D1. max Then, the second target value X2 of the sensor data S during the operation phase of the target facility is obtained. a =1-D1 S / D1 max Similarly, the second target value X2 of the sensor data S during the target facility shutdown phase is obtained. b; By setting the weights of the first and second target values, the total target value X of the sensing data S during the operation and shutdown phases of the target facility is obtained respectively. a and X b .
[0008] The aforementioned preset variance threshold is determined as follows: historical values of sensor data S within a continuous preset time period under normal operating conditions of the target facility F are extracted, the variance of the historical values is calculated and multiplied by an adjustment coefficient of 0.8-1.2 to obtain the preset variance threshold, and the preset variance threshold is not less than 0.01, and its numerical unit is consistent with the measurement unit of sensor data S.
[0009] The initial time intervals for obtaining sensor data and displaying it on the digital cockpit include: Obtain the baseline time interval range [D1, D2] for monitoring a certain sensor data S, where D1 is the shortest time interval preset by the system and D2 is the longest time interval preset by the system; extract several interval values within the baseline time interval range, establish an interval set, use the sensor corresponding to the sensor data S to collect data according to each interval value in the interval set, and transmit the collected data to the digital cockpit for display, monitor the resource occupancy value at each moment during the transmission process in real time, and calculate the average value to obtain the characteristic resource occupancy value corresponding to each interval value; Acquire the total target value X of the sensor data S during the operation phase of the target facility. a The interval set is matched with D2-X a The interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in operation at the target facility; the total target value X of the sensor data S during the shutdown phase of the target facility is obtained. b The interval set is matched with D2-X b The interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in the target facility shutdown phase.
[0010] The dynamic adjustment method for the above-mentioned reference time interval range [D1, D2] is as follows: Every 7-30 calendar days, the frequency of warnings for the target facilities and the average resource utilization rate of the system within that period are statistically analyzed. If the frequency of warnings is higher than the preset frequency threshold, D1 is shortened by 10%-20% and D2 is shortened by 5%-15%. If the average resource utilization rate of the system is lower than the preset low load threshold, D2 is extended by 10%-30%. The adjusted D1 is not less than 0.1 seconds and D2 is not greater than 300 seconds.
[0011] The final time interval for obtaining the sensor data and displaying it on the digital cockpit includes: The characteristic resource occupancy value corresponding to the initial time interval of the sensing data S during the target facility's operation and shutdown phases is used as V. a and V b V a and V b The maximum value in the data is taken as the target occupancy value of the sensing data S, and the initial time interval of the corresponding stage is taken as D. C The target occupancy value of each sensor data is obtained, and all target occupancy values are added together to obtain the total occupancy value; If the total occupancy value is greater than the preset occupancy threshold, the characteristic value of each sensor data is obtained: (D C -D1) / (D2-D1), and modify the initial time interval of the sensor data with the smallest eigenvalue to the larger interval value in the corresponding interval set. If there are multiple smallest eigenvalues, modify the initial time interval of the sensor data with the smallest target value to the larger interval value in the corresponding interval set. Then obtain the total occupancy value again until the total occupancy value is not greater than the occupancy threshold. Then obtain the final time interval of each sensor data in the digital cockpit during the operation and shutdown phases of the target facility.
[0012] The above-mentioned interval set is constructed as follows: within the reference time interval range [D1, D2], interval values are extracted according to equal step size or equal ratio step size, with the number of step sizes being 5-20; where the step size of equal step size is (D2- D1) / (number of step sizes-1), the common ratio of equal ratio step size is 1.1-1.5, and the interval set contains at least two endpoint values, D1 and D2.
[0013] When the aforementioned target facility has no characteristic records during the operation or shutdown phase, the corresponding second target value is determined as follows: Second target value during operation phase x 2 a The default value is 0.7-0.9, and the second target value for the deactivation phase is multiplied by 2. b The default value is 0.3-0.5; and within the first 3 months after the target facility is put into use for the first time, the second target value is uniformly set to 0.6-0.8.
[0014] The system using the above-mentioned data visualization-based digital cockpit data management method is used to execute the data visualization-based digital cockpit data management method. The system includes a first target value calculation module, a total target value calculation module, an initial time interval determination module, and a final time interval determination module. First target value calculation module: used to acquire all sensor data that need to be updated in real time in the digital cockpit, take the unique power facility monitored by each sensor data in the power site as the target facility corresponding to each sensor data; according to the processing steps of the target facility corresponding to the sensor data, obtain all the affected facilities of the target facility, and then obtain the first target value of the sensor data. Total target value calculation module: used to retrieve historical early warning records of the target facility, extract the log entries corresponding to the sensor data based on the early warning time of the early warning record, obtain the feature records in the early warning record, and obtain the target duration of the feature records; based on the feature records of the target facility in the operation phase and the shutdown phase, obtain the total target value of the sensor data in the operation phase and the shutdown phase of the target facility. Initial time interval determination module: used to obtain the baseline time interval range for monitoring sensor data, monitor the target facility according to different time intervals, and obtain the resource occupancy value during the monitoring process; based on the baseline time interval range and the total target value of sensor data in the operation and shutdown phases of the target facility, obtain the initial time interval for the sensor data to be displayed on the digital cockpit. Final time interval determination module: Iterates the initial time interval based on the resource occupancy value to obtain the final time interval for the sensor data to be displayed on the digital cockpit, and collects each sensor data on the digital cockpit according to the final time interval.
[0015] The aforementioned initial time interval determination module includes a feature resource occupancy value calculation unit and an initial time interval determination unit; Feature resource occupancy value calculation unit: used to obtain the reference time interval range for monitoring sensor data, extract several interval values within the reference time interval range, establish an interval set, collect data according to each interval value in the interval set, and then obtain the feature resource occupancy value corresponding to each interval value. Initial time interval determination unit: used to obtain the total target value of the sensing data during the operation phase, and to obtain the initial time interval of the sensing data displayed on the digital cockpit when the target facility is in operation and when the target facility is out of service.
[0016] The aforementioned final time interval determination module includes a total occupancy value calculation unit and a final time interval determination unit; Total Occupancy Calculation Unit: Used to obtain the target occupancy value and the total occupancy value based on the characteristic resource occupancy value corresponding to the initial time interval of the target facility's operation and shutdown phases, as well as the sensor data. Final time interval determination unit: used to obtain the feature value of each sensor data, modify the initial time interval according to the feature value, and obtain the final time interval of each sensor data displayed on the digital cockpit during the operation and shutdown phases of the target facility.
[0017] The system also includes a data verification module, which is used to verify the validity of the collected sensor data: removing sensor data whose values exceed the preset extreme value range, triggering sensor fault warnings for three or more consecutively collected abnormal data, and pushing the fault warning information to the alarm interface of the digital cockpit; at the same time, performing format standardization processing on the sensor data that has passed the verification, and unifying the data precision to 2-4 decimal places.
[0018] The system also includes a historical data storage module, which is used to classify and store the collected sensor data, time interval parameters of each stage, resource occupancy values and early warning records by timestamp, with a storage period of 1-5 years; it also supports multi-dimensional retrieval by target facility number, time range and data type, with a retrieval response time of no more than 3 seconds.
[0019] The aforementioned data verification module also has a data completion function: for a single missing sensor data, it is completed by linear interpolation of two adjacent valid data; for two consecutive missing data, it is completed by the average value of historical data of the same period; for three or more consecutive missing data, it is marked as data disconnection and triggers a data acquisition anomaly alarm.
[0020] The digital cockpit data management system and method based on data visualization mentioned in this invention have the following beneficial effects: This invention provides a data management system and method for a digital cockpit based on data visualization, comprising: acquiring target facilities corresponding to sensor data that needs to be updated in real time within the digital cockpit; obtaining a first target value of the sensor data based on the processing stage of the target facility; obtaining the target duration of the characteristic records of the target facility; obtaining the total target value of the sensor data during the operation and shutdown phases of the target facility; obtaining the initial time interval for displaying the sensor data on the digital cockpit; iterating over the initial time interval to obtain the final time interval for display on the digital cockpit; and collecting sensor data according to the final time interval. This invention analyzes early warning records in conjunction with the status of the target facility at different stages to obtain a suitable sensor data acquisition interval, ensuring that the data reflects the real-time status while also considering system load, thus contributing to improving the overall operational reliability of the digital cockpit. Attached Figure Description
[0021] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a flowchart illustrating the data management method for a digital cockpit based on data visualization according to the present invention. Detailed Implementation
[0022] 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.
[0023] Example 1: like Figure 1 As shown, this invention provides a technical solution for a digital cockpit data management method based on data visualization, comprising the following steps: (1) Obtain all sensor data that need to be updated in real time in the digital cockpit, and take the unique power facility monitored by each sensor data in the power site as the target facility corresponding to each sensor data; according to the processing link of the target facility corresponding to the sensor data, obtain all the affected facilities of the target facility, and then obtain the first target value of the sensor data. The processing steps of each power facility within the power site are obtained. A target facility corresponding to a certain sensor data S is designated as F. If a power facility F0 receives a processing result from target facility F, then power facility F0 is considered an affected facility of target facility F. The total number of affected facilities of target facility F is designated as N, thus obtaining the first target value X1 = 1 - e^(-t / t) of sensor data S. -(1+N) .
[0024] In this scheme, the sensing data is obtained through sensors, which serve a single power facility, i.e., the target facility. Since there are many power facilities in a power site, each with its own function, but also interconnected, an anomaly in one power facility will adversely affect another. Therefore, the more facilities affected, the greater the monitoring intensity of the sensing data should be. In this scheme, a first target value is used to represent the monitoring intensity, so the more facilities affected, the greater the first target value of the sensing data should be. The first target value X1 ranges from 0 to 1, and the larger N is, the larger X1 is.
[0025] (2) Retrieve the historical early warning records of the target facility, extract the log entries corresponding to the sensor data according to the early warning time of the early warning record, obtain the feature records in the early warning record, and obtain the target duration of the feature records; Retrieve several historical early warning records from the target facility F, extract the early warning time P corresponding to a specific early warning record, and use the normal value range of the sensor data S as R. S Extract all log entries recorded by the sensor data S within the warning time P. If there is a log entry whose corresponding sensor value is outside the normal range R... SWithin this, a certain warning record is used as a feature record, and then all feature records are obtained; Obtain the warning time P corresponding to a certain feature record Q. Q The warning time P Q The earliest time when the internal sensor value is outside the normal range is taken as T0. Several monitoring periods with a duration of D are randomly selected before time T0. Sensor values of several times are randomly extracted from each monitoring period. The monitoring period with the variance between all sensor values less than a preset variance threshold, all sensor values within the normal range, and closest to time T0 is taken as the target period. The duration between the latest time of the target period and time T0 is taken as the target duration of feature record Q, and thus the target duration of each feature record is obtained.
[0026] The aforementioned preset variance threshold is determined as follows: historical values of sensor data S within a continuous preset time period under normal operating conditions of the target facility F are extracted, the variance of the historical values is calculated and multiplied by an adjustment coefficient of 0.8-1.2 to obtain the preset variance threshold, and the preset variance threshold is not less than 0.01, and its numerical unit is consistent with the measurement unit of sensor data S.
[0027] (3) Based on the characteristic records of the target facility during the operation and shutdown phases, obtain the total target value of the sensor data during the operation and shutdown phases of the target facility; Extract several feature records of the target facility F during its operation phase, and average the target duration of all feature records to obtain the first target duration D1 of the sensing data S. S This allows us to obtain the first target duration for each sensor data point, with the maximum value being taken as D1. max Then, the second target value X2 of the sensor data S during the operation phase of the target facility is obtained. a =1-D1 S / D1 max Similarly, the second target value X2 of the sensor data S during the target facility shutdown phase is obtained. b ; By setting the weights of the first and second target values, the total target value X of the sensing data S during the operation and shutdown phases of the target facility is obtained respectively. a and X b .
[0028] Obtain the second target value X2 of the sensor data S during the target facility shutdown phase. b This includes: extracting several feature records of the target facility F during the shutdown phase, averaging the target duration of all feature records, and obtaining the second target duration D2 of the sensor data S. S This allows us to obtain the second target duration for each sensor data point, with the maximum value being used as D2. maxThen, the second target value X2 of the sensor data S during the target facility shutdown phase is obtained. b =1-D2 S / D2 max .
[0029] The weight of the first target value is set as W1, and the weight of the second target value during the target facility operation phase is set as W2. a The weight of the second objective value during the target facility shutdown phase is W2. b The total target value X is obtained during the operation and shutdown phases of the target facility. a =W1*X1+W2 a *X2 a and X b =W1*X1+W2 b *X2 b In this scheme, the target value represents the monitoring intensity of sensor data. The larger the target value, the greater the monitoring intensity, and the shorter the data collection interval should be to reflect the real-time status of the sensor data in a timely manner. Since the monitoring intensity differs between the operation and shutdown phases of the facility, different monitoring intensities should be applied to the sensor data during these phases.
[0030] (4) Obtain the baseline time interval range for monitoring sensor data, monitor the target facility according to different time intervals, and obtain the resource occupancy value during the monitoring process; based on the baseline time interval range and the total target value of sensor data during the operation and shutdown phases of the target facility, obtain the initial time interval for displaying sensor data on the digital cockpit. Obtain the baseline time interval range [D1, D2] for monitoring a certain sensor data S, where D1 is the shortest time interval preset by the system and D2 is the longest time interval preset by the system; extract several interval values within the baseline time interval range, establish an interval set, use the sensor corresponding to the sensor data S to collect data according to each interval value in the interval set, and transmit the collected data to the digital cockpit for display, monitor the resource occupancy value at each moment during the transmission process in real time, and calculate the average value to obtain the characteristic resource occupancy value corresponding to each interval value; Acquire the total target value X of the sensor data S during the operation phase of the target facility. a The interval set is matched with D2-X a The interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in operation at the target facility; the total target value X of the sensor data S during the shutdown phase of the target facility is obtained. b The interval set is matched with D2-X bThe interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in the target facility shutdown phase.
[0031] The dynamic adjustment method for the above-mentioned reference time interval range [D1, D2] is as follows: Every 7-30 calendar days, the frequency of warnings for the target facilities and the average resource utilization rate of the system within that period are statistically analyzed. If the frequency of warnings is higher than the preset frequency threshold, D1 is shortened by 10%-20% and D2 is shortened by 5%-15%. If the average resource utilization rate of the system is lower than the preset low load threshold, D2 is extended by 10%-30%. The adjusted D1 is not less than 0.1 seconds and D2 is not greater than 300 seconds.
[0032] (5) Based on the resource occupancy value, iterate over the initial time interval to obtain the final time interval for the sensor data to be displayed on the digital cockpit, and collect the sensor data on the digital cockpit according to the final time interval. The characteristic resource occupancy value corresponding to the initial time interval of the sensing data S during the target facility's operation and shutdown phases is used as V. a and V b V a and V b The maximum value in the data is taken as the target occupancy value of the sensing data S, and the initial time interval of the corresponding stage is taken as D. C The target occupancy value of each sensor data is obtained, and all target occupancy values are added together to obtain the total occupancy value; If the total occupancy value is greater than the preset occupancy threshold, the characteristic value of each sensor data is obtained: (D C -D1) / (D2-D1), and modify the initial time interval of the sensor data with the smallest eigenvalue to the larger interval value in the corresponding interval set. If there are multiple smallest eigenvalues, modify the initial time interval of the sensor data with the smallest target value to the larger interval value in the corresponding interval set. Then obtain the total occupancy value again until the total occupancy value is not greater than the occupancy threshold. Then obtain the final time interval of each sensor data in the digital cockpit during the operation and shutdown phases of the target facility.
[0033] The total occupancy value is the maximum resource occupancy value predicted by this solution. When the total occupancy value is not greater than the occupancy threshold, it indicates that the digital cockpit has completed its iteration and can collect sensor data according to the final time interval. The final time interval for displaying sensor data on the digital cockpit will be automatically switched according to the status of the target facility during the operation and shutdown phases.
[0034] The above-mentioned interval set is constructed as follows: within the reference time interval range [D1, D2], interval values are extracted according to equal step size or equal ratio step size, with the number of step sizes being 5-20; where the step size of equal step size is (D2- D1) / (number of step sizes-1), the common ratio of equal ratio step size is 1.1-1.5, and the interval set contains at least two endpoint values, D1 and D2.
[0035] When the aforementioned target facility has no characteristic records during the operation or shutdown phase, the corresponding second target value is determined as follows: Second target value during operation phase x 2 a The default value is 0.7-0.9, and the second target value for the deactivation phase is multiplied by 2. b The default value is 0.3-0.5; and within the first 3 months after the target facility is put into use for the first time, the second target value is uniformly set to 0.6-0.8.
[0036] This embodiment also provides a data visualization-based digital cockpit data management system, including a first target value calculation module, a total target value calculation module, an initial time interval determination module, and a final time interval determination module. The initial time interval determination module includes a feature resource occupancy value calculation unit and an initial time interval determination unit, and the final time interval determination module includes a total occupancy value calculation unit and a final time interval determination unit. When the system executes the computer program, it implements the above-described data visualization-based digital cockpit data management method. Since the data visualization-based digital cockpit data management method has been described in detail above, it will not be repeated here.
[0037] The system also includes a data verification module, which is used to verify the validity of the collected sensor data: removing sensor data whose values exceed the preset extreme value range, triggering sensor fault warnings for three or more consecutively collected abnormal data, and pushing the fault warning information to the alarm interface of the digital cockpit; at the same time, performing format standardization processing on the sensor data that has passed the verification, and unifying the data precision to 2-4 decimal places.
[0038] The system also includes a historical data storage module, which is used to classify and store the collected sensor data, time interval parameters of each stage, resource occupancy values and early warning records by timestamp, with a storage period of 1-5 years; it also supports multi-dimensional retrieval by target facility number, time range and data type, with a retrieval response time of no more than 3 seconds.
[0039] The aforementioned data verification module also has a data completion function: for a single missing sensor data, it is completed by linear interpolation of two adjacent valid data; for two consecutive missing data, it is completed by the average value of historical data of the same period; for three or more consecutive missing data, it is marked as data disconnection and triggers a data acquisition anomaly alarm.
[0040] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0041] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.
[0042] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A digital cockpit data management method based on data visualization, characterized in that, Includes the following steps: Acquire all sensor data that need to be updated in real time in the digital cockpit, and take the unique power facility monitored by each sensor data in the power site as the target facility corresponding to each sensor data; according to the processing steps of the target facility corresponding to the sensor data, obtain all the affected facilities of the target facility, and then obtain the first target value of the sensor data. Retrieve historical early warning records of the target facility, extract the log entries corresponding to the early warning times of the early warning records, obtain the feature records in the early warning records, and obtain the target duration of the feature records; Based on the characteristic records of the target facility during the operation and shutdown phases, the total target value of the sensor data during the operation and shutdown phases of the target facility is obtained. Obtain the baseline time interval range for monitoring sensor data, monitor the target facility according to different time intervals, and obtain the resource consumption value during the monitoring process; Based on the baseline time interval range and the total target value of the sensor data during the operation and shutdown phases of the target facility, the initial time interval for displaying the sensor data on the digital cockpit is obtained. Based on the resource occupancy value, the initial time interval is iterated to obtain the final time interval for the sensor data to be displayed on the digital cockpit, and the sensor data on the digital cockpit is collected according to the final time interval.
2. The digital cockpit data management method based on data visualization according to claim 1, characterized in that, The method for obtaining the first target value of the sensor data includes: acquiring the processing steps of each power facility within the power facility, designating the target facility corresponding to a certain sensor data S as F, and if a power facility F0 receives a processing result from the target facility F, then designating power facility F0 as an affected facility of the target facility F; designating the total number of affected facilities of the target facility F as N, and thus obtaining the first target value X1 = 1 - e of the sensor data S. -(1+N) .
3. The digital cockpit data management method based on data visualization according to claim 2, characterized in that, The target duration for obtaining the feature records includes: Retrieve several historical early warning records from the target facility F, extract the early warning time P corresponding to a specific early warning record, and use the normal value range of the sensor data S as R. S Extract all log entries recorded by the sensor data S within the warning time P. If there is a log entry whose corresponding sensor value is outside the normal range R... S Within this context, a specific early warning record is used as a feature record, thereby obtaining all feature records; Obtain the warning time P corresponding to a certain feature record Q. Q The warning time P Q The earliest time when the internal sensor value is outside the normal range is taken as T0. Several monitoring periods with a duration of D are randomly selected before time T0. Sensor values of several times are randomly extracted from each monitoring period. The monitoring period with the variance between all sensor values less than a preset variance threshold, all sensor values within the normal range, and closest to time T0 is taken as the target period. The duration between the latest time of the target period and time T0 is taken as the target duration of feature record Q, and thus the target duration of each feature record is obtained.
4. The digital cockpit data management method based on data visualization according to claim 3, characterized in that, The total target value of the obtained sensor data during the operation and shutdown phases of the target facility includes: Extract several feature records of the target facility F during its operation phase, and average the target duration of all feature records to obtain the first target duration D1 of the sensing data S. S This allows us to obtain the first target duration for each sensor data point, with the maximum value being taken as D1. max Then, the second target value X2 of the sensor data S during the operation phase of the target facility is obtained. a =1-D1 S / D1 max Similarly, the second target value X2 of the sensor data S during the target facility shutdown phase is obtained. b ; By setting the weights of the first and second target values, the total target value X of the sensing data S during the operation and shutdown phases of the target facility is obtained respectively. a and X b .
5. The digital cockpit data management method based on data visualization according to claim 1, characterized in that, The preset variance threshold is determined by extracting historical values of sensor data S within a continuous preset time period under normal operating conditions of the target facility F, calculating the variance of the historical values and multiplying them by an adjustment coefficient of 0.8-1.2 to obtain the preset variance threshold, and the preset variance threshold is not less than 0.
01.
6. The digital cockpit data management method based on data visualization according to claim 1, characterized in that, The initial time interval for obtaining sensor data and displaying it on the digital cockpit includes: Obtain the baseline time interval range [D1, D2] for monitoring a certain sensor data S, where D1 is the shortest time interval preset by the system and D2 is the longest time interval preset by the system; extract several interval values within the baseline time interval range, establish an interval set, use the sensor corresponding to the sensor data S to collect data according to each interval value in the interval set, and transmit the collected data to the digital cockpit for display, monitor the resource occupancy value at each moment during the transmission process in real time, and calculate the average value to obtain the characteristic resource occupancy value corresponding to each interval value; Acquire the total target value X of the sensor data S during the operation phase of the target facility. a The interval set is matched with D2-X a The interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in operation at the target facility; the total target value X of the sensor data S during the shutdown phase of the target facility is obtained. b The interval set is matched with D2-X b The interval with the smallest absolute value of the difference between (D2-D1) is used as the initial time interval displayed on the digital cockpit when the sensor data S is in the target facility shutdown phase.
7. The digital cockpit data management method based on data visualization according to claim 6, characterized in that, The dynamic adjustment method for the aforementioned reference time interval range [D1, D2] is as follows: Every 7-30 calendar days, the frequency of warnings for the target facilities and the average resource utilization rate of the system within that period are statistically analyzed. If the frequency of warnings is higher than the preset frequency threshold, D1 is shortened by 10%-20% and D2 is shortened by 5%-15%. If the average resource utilization rate of the system is lower than the preset low load threshold, D2 is extended by 10%-30%. The adjusted D1 is not less than 0.1 seconds and D2 is not greater than 300 seconds.
8. The digital cockpit data management method based on data visualization according to claim 7, characterized in that, The final time interval for obtaining sensor data and displaying it on the digital cockpit includes: The characteristic resource occupancy value corresponding to the initial time interval of the sensing data S during the target facility's operation and shutdown phases is used as V. a and V b V a and V b The maximum value in the data is taken as the target occupancy value of the sensing data S, and the initial time interval of the corresponding stage is taken as D. C The target occupancy value of each sensor data is obtained, and all target occupancy values are added together to obtain the total occupancy value; If the total occupancy value is greater than the preset occupancy threshold, the characteristic value of each sensor data is obtained: (D C -D1) / (D2-D1), and modify the initial time interval of the sensor data with the smallest eigenvalue to the larger interval value in the corresponding interval set. If there are multiple smallest eigenvalues, modify the initial time interval of the sensor data with the smallest target value to the larger interval value in the corresponding interval set. Then obtain the total occupancy value again until the total occupancy value is not greater than the occupancy threshold. Then obtain the final time interval of each sensor data in the digital cockpit during the operation and shutdown phases of the target facility.
9. The digital cockpit data management method based on data visualization according to claim 8, characterized in that, The interval set is constructed as follows: within the reference time interval range [D1, D2], interval values are extracted by equal step size or equal geometric step size, with the number of step sizes being 5-20. The step size of the equal step size is (D2-D1) / (number of steps-1), the common ratio of the equal step size is 1.1-1.5, and the interval set contains at least two endpoint values, D1 and D2.
10. The digital cockpit data management method based on data visualization according to claim 9, characterized in that, When the target facility has no characteristic records during the operation or shutdown phase, the corresponding second target value is determined as follows: Second target value during operation phase x 2 a The default value is 0.7-0.9, and the second target value for the deactivation phase is multiplied by 2. b The default value is 0.3-0.5; and within the first 3 months after the target facility is put into use for the first time, the second target value is uniformly set to 0.6-0.
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11. A system using the data visualization-based digital cockpit data management method according to any one of claims 1-10, wherein the system is used to execute the data visualization-based digital cockpit data management method, characterized in that, The system includes a first target value calculation module, a total target value calculation module, an initial time interval determination module, and a final time interval determination module; First target value calculation module: used to acquire all sensor data that need to be updated in real time in the digital cockpit, take the unique power facility monitored by each sensor data in the power site as the target facility corresponding to each sensor data; according to the processing steps of the target facility corresponding to the sensor data, obtain all the affected facilities of the target facility, and then obtain the first target value of the sensor data. Total target value calculation module: used to retrieve the historical early warning records of the target facility, extract the log entries corresponding to the sensor data according to the early warning time of the early warning record, obtain the feature records in the early warning record, and obtain the target duration of the feature records; Based on the characteristic records of the target facility during the operation and shutdown phases, the total target value of the sensor data during the operation and shutdown phases of the target facility is obtained. Initial time interval determination module: used to obtain the baseline time interval range for monitoring sensor data, monitor the target facility according to different time intervals, and obtain the resource occupancy value during the monitoring process; based on the baseline time interval range and the total target value of sensor data in the operation and shutdown phases of the target facility, obtain the initial time interval for the sensor data to be displayed on the digital cockpit. Final time interval determination module: Iterates the initial time interval based on the resource occupancy value to obtain the final time interval for the sensor data to be displayed on the digital cockpit, and collects each sensor data on the digital cockpit according to the final time interval.
12. The digital cockpit data management system based on data visualization according to claim 11, characterized in that, The initial time interval determination module includes a feature resource occupancy value calculation unit and an initial time interval determination unit; Feature resource occupancy value calculation unit: used to obtain the reference time interval range for monitoring sensor data, extract several interval values within the reference time interval range, establish an interval set, collect data according to each interval value in the interval set, and then obtain the feature resource occupancy value corresponding to each interval value. Initial time interval determination unit: used to obtain the total target value of the sensing data during the operation phase, and to obtain the initial time interval of the sensing data displayed on the digital cockpit when the target facility is in operation and when the target facility is out of service.
13. The digital cockpit data management system based on data visualization according to claim 12, characterized in that, The final time interval determination module includes a total occupancy value calculation unit and a final time interval determination unit; Total Occupancy Calculation Unit: Used to obtain the target occupancy value and the total occupancy value based on the characteristic resource occupancy value corresponding to the initial time interval of the target facility's operation and shutdown phases, as well as the sensor data. Final time interval determination unit: used to obtain the feature value of each sensor data, modify the initial time interval according to the feature value, and obtain the final time interval of each sensor data displayed on the digital cockpit during the operation and shutdown phases of the target facility.
14. The digital cockpit data management system based on data visualization according to claim 11, characterized in that, The system also includes a data verification module, which is used to verify the validity of the collected sensor data: removing sensor data whose values exceed the preset extreme value range, triggering sensor fault warnings for three or more consecutively collected abnormal data, and pushing the fault warning information to the alarm interface of the digital cockpit; at the same time, performing format standardization processing on the sensor data that has passed the verification, and unifying the data precision to 2-4 decimal places.
15. The digital cockpit data management system based on data visualization according to claim 11, characterized in that, The system also includes a historical data storage module, which is used to classify and store the collected sensor data, time interval parameters of each stage, resource occupancy values and early warning records by timestamp, with a storage period of 1-5 years; it also supports multi-dimensional retrieval by target facility number, time range and data type, with a retrieval response time of no more than 3 seconds.
16. The digital cockpit data management system based on data visualization according to claim 14, characterized in that, The data verification module also has a data completion function: for a single missing sensor data, it is completed by linear interpolation of two adjacent valid data; for two consecutive missing data, it is completed by the average value of historical data of the same period; for three or more consecutive missing data, it is marked as data disconnection and triggers a data acquisition anomaly alarm.