CN115436755B - Offshore wind power safety monitoring information dynamic management method and system - Google Patents
Offshore wind power safety monitoring information dynamic management method and system Download PDFInfo
- Publication number
- CN115436755B CN115436755B CN202211387857.4A CN202211387857A CN115436755B CN 115436755 B CN115436755 B CN 115436755B CN 202211387857 A CN202211387857 A CN 202211387857A CN 115436755 B CN115436755 B CN 115436755B
- Authority
- CN
- China
- Prior art keywords
- resistance
- submarine cable
- data
- value
- real
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Computing Systems (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Laying Of Electric Cables Or Lines Outside (AREA)
Abstract
The invention is suitable for the technical field of electric digital data processing, and particularly relates to a dynamic management method and a dynamic management system for offshore wind power safety monitoring information, wherein the method comprises the following steps: acquiring safety monitoring data; calculating theoretical block section resistance data according to the block section environment temperature monitoring data, and calculating a theoretical temperature value by combining real-time current data; calculating resistance data of the actual section, and constructing a resistance change curve according to the resistance data; and carrying out early warning identification and carrying out fault judgment. The invention utilizes the early warning model to estimate the change trend of the submarine cable in each interval section so as to realize the fault early warning of each point position of the submarine cable, so as to avoid the direct occurrence of the fault and influence the work of the wind power equipment for a long time.
Description
Technical Field
The invention belongs to the technical field of electric digital data processing, and particularly relates to a dynamic management method and system for offshore wind power safety monitoring information.
Background
Offshore wind power is used as the key field of renewable energy development in China, has the characteristics of rich resources, high power generation utilization time, no land occupation and suitability for large-scale development, and is the latest leading edge of global wind power development.
Compared with land wind power, the energy benefit of offshore wind power resources is 20% -40% higher than that of land wind power plants, the offshore wind power resources also have the advantages of no land occupation, high wind speed, less sand and dust, large electric quantity, stable operation, zero dust emission and the like, meanwhile, the abrasion of the wind generating set can be reduced, the service life of the wind generating set is prolonged, and the offshore wind power generation wind power resources are suitable for large-scale development.
In the prior art, data acquisition is carried out on the submarine cable, whether the submarine cable breaks down or not is judged according to the acquired data, and early warning of submarine cable faults cannot be achieved.
Disclosure of Invention
The embodiment of the invention aims to provide a dynamic management method for offshore wind power safety monitoring information, and aims to solve the problem that in the prior art, whether a submarine cable has a fault or not is judged according to acquired data by acquiring data of the submarine cable, and early warning of the submarine cable fault cannot be realized.
The embodiment of the invention is realized in such a way that an offshore wind power safety monitoring information dynamic management method comprises the following steps:
acquiring safety monitoring data, wherein the safety monitoring data comprises interval submarine cable temperature monitoring data, interval environment temperature monitoring data and real-time current data;
calculating theoretical block section resistance data according to the block section environment temperature monitoring data, and calculating a theoretical temperature value by combining real-time current data;
calculating actual resistance data of the interval according to the temperature monitoring data of the submarine cable of the interval and the real-time current data, and constructing a resistance change curve according to the actual resistance data;
and early warning and identification are carried out on the submarine cable risk according to the resistance change curve, and fault judgment is carried out according to the theoretical temperature value and the submarine cable temperature monitoring data in the interval.
Preferably, the step of calculating theoretical block section resistance data according to the block section environment temperature monitoring data and calculating the theoretical temperature value by combining the real-time current data specifically includes:
calling preset submarine cable facility parameters, and inquiring the resistance values of the submarine cables at different temperatures;
reading environmental temperature monitoring data of the interval, extracting an environmental temperature value, and determining the resistance value of the submarine cable at each moment;
and inquiring the heat conductivity coefficient according to the environment medium so as to calculate a theoretical temperature value by combining real-time current data.
Preferably, the step of calculating actual resistance data of the interval section according to the temperature monitoring data of the submarine cable of the interval section and the real-time current data, and constructing a resistance change curve according to the actual resistance data of the interval section includes:
extracting a real-time submarine cable temperature value from the submarine cable temperature monitoring data of the interval, and extracting a real-time current value at a corresponding moment;
inquiring the heat conductivity coefficient according to the environment medium, and calculating a real-time resistance value by combining a real-time submarine cable temperature value and a real-time current value;
and constructing a resistance change curve according to the real-time resistance value.
Preferably, the step of carrying out early warning identification on the submarine cable risk according to the resistance change curve and carrying out fault judgment according to the theoretical temperature value and the submarine cable temperature monitoring data in the interval specifically includes:
performing function fitting according to the resistance change curve to obtain a resistance curve fitting function;
estimating resistance change in a preset time period according to a resistance curve fitting function, and judging whether the resistance change exceeds a preset value;
and calculating a difference value between the theoretical temperature value and the temperature value monitored in the interval submarine cable temperature monitoring data, judging whether the difference value is within a preset range, and determining whether a fault exists.
Preferably, when the temperature value monitored in the submarine cable temperature monitoring data of the interval exceeds a preset value, a fault is determined to exist.
Preferably, when it is determined that a fault exists, an alarm is issued, the alarm including the location of the section in which the fault occurred.
Another objective of an embodiment of the present invention is to provide a dynamic management system for offshore wind power safety monitoring information, where the system includes:
the data acquisition module is used for acquiring safety monitoring data, wherein the safety monitoring data comprises interval submarine cable temperature monitoring data, interval environment temperature monitoring data and real-time current data;
the theoretical temperature calculation module is used for calculating resistance data of the theoretical interval according to the environmental temperature monitoring data of the interval and calculating a theoretical temperature value by combining the real-time current data;
the resistance curve construction module is used for calculating actual resistance data of the interval according to the temperature monitoring data of the submarine cable of the interval and the real-time current data, and constructing a resistance change curve according to the actual resistance data of the interval;
and the fault early warning module is used for carrying out early warning identification on the submarine cable risk according to the resistance change curve and carrying out fault judgment according to the theoretical temperature value and the submarine cable temperature monitoring data in the interval.
Preferably, the theoretical temperature calculation module includes:
the resistance query unit is used for calling preset submarine cable facility parameters and querying the resistance of the submarine cable at different temperatures;
the resistance value calculation unit is used for reading environmental temperature monitoring data in the section, extracting an environmental temperature value and determining the resistance value of the submarine cable at each moment;
and the theoretical temperature calculating unit is used for inquiring the heat conductivity coefficient according to the environment medium so as to calculate a theoretical temperature value by combining the real-time current data.
Preferably, the resistance curve constructing module includes:
the data extraction unit is used for extracting a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the interval and extracting a real-time current value at a corresponding moment;
the coefficient query unit is used for querying the heat conductivity coefficient according to the environment medium and calculating a real-time resistance value by combining a real-time submarine cable temperature value and a real-time current value;
and the curve drawing unit is used for constructing a resistance change curve according to the real-time resistance value.
Preferably, the fault early warning module includes:
the curve fitting unit is used for performing function fitting according to the resistance change curve to obtain a resistance curve fitting function;
the abnormity early warning unit is used for predicting the resistance change in a preset time period according to the resistance curve fitting function and judging whether the resistance change exceeds a preset value;
and the fault determination unit is used for calculating a difference value between the theoretical temperature value and the temperature value monitored in the interval submarine cable temperature monitoring data, determining whether the difference value is within a preset range, and determining whether a fault exists.
According to the dynamic management method for the offshore wind power safety monitoring information, provided by the embodiment of the invention, the submarine cable is subjected to data acquisition, each section of the submarine cable is monitored in real time according to the acquired data, so that an early warning model is constructed for each section, and the change trend of the submarine cable in each section is estimated by using the early warning model, so that the fault early warning of each point position of the submarine cable is realized, the direct occurrence of the fault is avoided, and the work of wind power equipment is prevented from being influenced for a long time.
Drawings
Fig. 1 is a flowchart of a dynamic management method for offshore wind power safety monitoring information according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a step of calculating theoretical block section resistance data according to block section environment temperature monitoring data and calculating a theoretical temperature value by combining real-time current data according to the embodiment of the present invention;
fig. 3 is a flowchart of a step of calculating actual resistance data of the block section according to the block section submarine cable temperature monitoring data and the real-time current data, and constructing a resistance change curve according to the actual resistance data;
fig. 4 is a flowchart of steps of performing early warning identification on the risk of the submarine cable according to the resistance change curve, and performing fault determination according to the theoretical temperature value and the monitoring data of the submarine cable temperature in the interval according to the embodiment of the present invention;
fig. 5 is an architecture diagram of a dynamic management system for offshore wind power safety monitoring information according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a theoretical temperature calculation module according to an embodiment of the present invention;
FIG. 7 is a block diagram of a resistance curve building block according to an embodiment of the present invention;
fig. 8 is an architecture diagram of a fault warning module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Compared with land wind power, the energy benefit of offshore wind power resources is 20% -40% higher than that of land wind power plants, the offshore wind power resources also have the advantages of no land occupation, high wind speed, less sand and dust, large electric quantity, stable operation, zero dust emission and the like, meanwhile, the abrasion of the wind generating set can be reduced, the service life of the wind generating set is prolonged, and the offshore wind power generation wind power resources are suitable for large-scale development. In the prior art, data acquisition is carried out on the submarine cable, whether the submarine cable breaks down or not is judged according to the acquired data, and early warning of submarine cable faults cannot be achieved.
According to the invention, the submarine cable is subjected to data acquisition, each section of the submarine cable is monitored in real time according to the acquired data, so that an early warning model is established for each section, the change trend of the submarine cable in each section is estimated by using the early warning model, the fault early warning of each point position of the submarine cable is realized, and the direct occurrence of the fault and the influence on the work of wind power equipment for a long time are avoided.
As shown in fig. 1, a flowchart of a method for dynamically managing offshore wind power safety monitoring information according to an embodiment of the present invention is provided, where the method includes:
s100, obtaining safety monitoring data, wherein the safety monitoring data comprise interval submarine cable temperature monitoring data, interval environment temperature monitoring data and real-time current data.
In this step, safety monitoring data is obtained, in order to perform real-time detection on the submarine cable, a plurality of installation positions are determined on the submarine cable at intervals, two sets of temperature sensors are arranged at each installation position, one set of temperature sensors directly detects the temperature of the submarine cable, the other set of temperature sensors is used for measuring the temperature of an environment medium, if the submarine cable is arranged on the water surface, the air temperature is measured, if the submarine cable is arranged under the water, the water temperature is measured, a current detection device is arranged at any position of one submarine cable to measure the current value in the submarine cable, the submarine cable temperature monitoring data in the interval of the section is the temperature data of the submarine cable in each interval of the section, the environment temperature monitoring data in the interval of the section is the temperature data of the environment medium around the submarine cable in each interval of the section, and the real-time current data is the current data measured by the current detection device in the submarine cable.
S200, calculating resistance data of the theoretical block section according to the environmental temperature monitoring data of the block section, and calculating a theoretical temperature value by combining real-time current data.
In the step, theoretical block section resistance data is calculated according to block section environment temperature monitoring data, when the installation position is determined, the distance between the installation positions is guaranteed to be equal, the temperature detected by each temperature sensor is the temperature of a block submarine cable corresponding to the installation position, the length of the block submarine cable is equal to the distance between two adjacent groups of installation positions, two temperature sensors are arranged at the same installation position, one temperature sensor is directly fixed on the submarine cable to detect the temperature of the submarine cable, the other temperature sensor is arranged close to the installation position and is used for detecting the temperature of a close environment medium, the resistance value of a wire in the submarine cable can be determined according to the material of the wire under the temperature of the environment medium, therefore, the total resistance value of the submarine cable in the block section can be directly determined, the calorific value of the submarine cable in unit time can be calculated according to the current value in the submarine cable, the heat transfer speed is determined according to the heat conduction coefficient of the environment medium, and the theoretical temperature value of the submarine cable is obtained.
S300, calculating actual resistance data of the interval according to the temperature monitoring data of the submarine cable of the interval and the real-time current data, and constructing a resistance change curve according to the actual resistance data.
In the step, actual interval resistance data is calculated according to interval submarine cable temperature monitoring data and real-time current data, the temperature directly obtained by using a temperature sensor fixed on the submarine cable is the temperature of the submarine cable, and the heat conductivity coefficient of an environment medium is determined, so that the current resistance of the cable can be directly reversely deduced, the heat dissipation capacity in unit time can be calculated according to the heat conductivity coefficient due to the fact that the current value is known and the heat conductivity coefficient is known, the heat productivity of the submarine cable in unit time is deduced according to the current temperature, the resistance value can be determined according to the heat productivity and the current value, and all calculated resistance values are recorded according to the time sequence to obtain a resistance change curve.
S400, early warning and identification are carried out on submarine cable risks according to the resistance change curve, and fault judgment is carried out according to theoretical temperature values and submarine cable temperature monitoring data in the interval.
In the step, early warning identification is carried out on submarine cable risks according to resistance change curves, a fitting function corresponding to a current resistance change curve is determined in a function fitting mode, time is taken as an independent variable and is brought into the fitting function, estimated resistance data in a short time can be obtained, early warning can be carried out according to the change trend and the numerical value of the estimated resistance data, if the estimated resistance exceeds a preset value or the change value of the estimated resistance exceeds the preset value in unit time, the existence of fault risks can be directly judged, early warning is sent out, fault judgment is carried out according to theoretical temperature values and submarine cable temperature monitoring data in a section, in the process, whether actually measured temperature values are close to theoretical temperature values or not is judged, namely whether the temperature values are in a normal fluctuation range or not is judged, if the temperature values exceed the normal fluctuation range, faults are judged to have occurred, and when the temperature in submarine cable temperature monitoring data in the section exceeds a certain threshold value, the faults can be directly judged to have occurred.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of calculating theoretical block section resistance data according to block section environment temperature monitoring data, and calculating a theoretical temperature value by combining real-time current data specifically includes:
s201, calling preset submarine cable facility parameters, and inquiring the resistance values of the submarine cables at different temperatures.
In the step, preset submarine cable facility parameters are called, resistance values of different types of submarine cables at different temperatures in unit length are recorded in the submarine cable facility parameters, and the resistance values of the submarine cables can be determined according to the type of the current submarine cable and the lengths of the submarine cables in the section.
S202, reading environmental temperature monitoring data in the section, extracting an environmental temperature value, and determining the resistance value of the submarine cable at each moment.
In this step, the environmental temperature monitoring data of the block section is read, and the temperature value detected at each moment is recorded in the environmental temperature monitoring data of the block section, that is, the environmental temperature value, so that the resistance value of the submarine cable in the block section at each moment can be determined.
S203, inquiring the heat conductivity coefficient according to the environment medium, and calculating a theoretical temperature value by combining real-time current data.
In the step, the heat conductivity coefficient is inquired according to the environment medium, the calorific value is calculated according to the real-time current and the resistance value of the submarine cable, and then the heat loss rate is determined according to the heat conductivity coefficient, so that the theoretical temperature value of the submarine cable is determined.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of calculating actual resistance data of the block section according to the block section submarine cable temperature monitoring data and the real-time current data, and constructing a resistance change curve according to the actual resistance data includes:
s301, extracting a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the interval of the block, and extracting a real-time current value at a corresponding moment.
In this step, the real-time submarine cable temperature value is extracted from the submarine cable temperature monitoring data in the interval, and the temperature sensor is directly installed on the submarine cable, so that the temperature obtained by the temperature sensor is the temperature of the submarine cable, the temperature is extracted according to the time sequence, the real-time submarine cable temperature value can be obtained, and the current detection device can record the current in the submarine cable in real time, and the real-time current value is obtained.
S302, inquiring the heat conductivity coefficient according to the environment medium, and calculating a real-time resistance value by combining the real-time submarine cable temperature value and the real-time current value.
In the step, the heat conductivity coefficient is inquired according to the environment medium, the heat dissipation efficiency between the submarine cable and the environment medium can be determined according to the heat conductivity coefficient, and the actual heat productivity of the submarine cable can be reversely deduced when the actual temperature and current of the submarine cable are known, so that the actual resistance value is calculated.
And S303, constructing a resistance change curve according to the real-time resistance value.
In the step, a resistance change curve is constructed according to the real-time resistance value, a coordinate system is constructed, and the resistance values calculated at all times are recorded according to the time sequence, wherein the abscissa is time and the ordinate is the resistance value.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of performing early warning identification on the submarine cable risk according to the resistance change curve, and performing fault determination according to the theoretical temperature value and the submarine cable temperature monitoring data in the interval specifically includes:
and S401, performing function fitting according to the resistance change curve to obtain a resistance curve fitting function.
In this step, function fitting is performed according to the resistance change curve, for example, discrete points in the coordinate system are fitted by using matlab software, so as to obtain a resistance curve fitting function.
S402, estimating the resistance change in a preset time period according to a resistance curve fitting function, and judging whether the resistance change exceeds a preset value.
In the step, resistance change in a preset time period is estimated according to a resistance curve fitting function, time needing to be estimated is substituted into the resistance curve fitting function according to a preset time interval, so that a corresponding numerical value is obtained through calculation, and whether a fault risk exists is judged by comparing the numerical value with a preset value.
S403, calculating a difference value between the theoretical temperature value and the temperature value monitored in the interval submarine cable temperature monitoring data, judging whether the difference value is within a preset range, and determining whether a fault exists.
In the step, calculating a difference value between a theoretical temperature value and a temperature value monitored in the interval submarine cable temperature monitoring data, wherein the theoretical temperature value is obtained through calculation, an actually-measured temperature value is directly measured, and if the difference value is too large, the submarine cable temperature is abnormal, so that the fault is judged to exist; and each section is provided with a corresponding number, and when a fault occurs, the fault position of the submarine cable can be determined according to the number.
In an embodiment of the invention, the offshore wind power is based on an offshore wind power foundation as a main supporting structure, for the safety of equipment, safety monitoring needs to be carried out on the offshore wind power foundation, specifically, a plurality of groups of horizontal detection instruments are installed on the offshore wind power foundation and are arranged at different positions, so that horizontal detection is carried out on each position of the offshore wind power foundation, meanwhile, a vibration monitoring sensor is arranged on the offshore wind power foundation, vibration conditions of each point on the offshore wind power foundation are obtained by using the vibration monitoring sensor, the offshore wind power foundation is an integral structure, when the stability problem occurs, the numerical values detected by the level instruments at each position should be the same, and the vibration conditions detected by each position should be the same, when the numerical values detected by the level instruments or the numerical values detected by the vibration monitoring sensors are not the same, the stability problem exists in the current offshore wind power foundation, the inspection needs to be carried out, and then an alarm is sent to inform relevant personnel of carrying out maintenance treatment.
As shown in fig. 5, the system for dynamically managing offshore wind power safety monitoring information provided in the embodiment of the present invention includes:
the data acquisition module 100 is configured to acquire safety monitoring data, where the safety monitoring data includes section submarine cable temperature monitoring data, section environmental temperature monitoring data, and real-time current data.
In this system, the data acquisition module 100 acquires safety monitoring data, in order to detect the submarine cable in real time, a plurality of installation positions are determined at intervals on the submarine cable, each installation position is provided with two sets of temperature sensors, one set of temperature sensor directly detects the temperature of the submarine cable, the other set of temperature sensor is used for measuring the temperature of an environment medium, if the submarine cable is arranged on the water surface, the air temperature is measured, if the submarine cable is arranged under the water, the water temperature is measured, a current detection device is arranged at any position of one submarine cable to measure the current value in the submarine cable, the submarine cable temperature monitoring data in each section is the temperature data of the submarine cable in each section, the submarine cable temperature monitoring data in each section is the temperature data of the environment medium around the submarine cable in each section, and the real-time current data is the current data passing through the submarine cable measured by the current detection device.
And the theoretical temperature calculation module 200 is configured to calculate theoretical block resistance data according to the block environmental temperature monitoring data, and calculate a theoretical temperature value by combining the real-time current data.
In the system, a theoretical temperature calculation module 200 calculates theoretical block section resistance data according to block section environment temperature monitoring data, when an installation position is determined, it is ensured that distances between installation positions are equal, the temperature detected by each temperature sensor is the temperature of a block submarine cable corresponding to the installation position, the length of the block submarine cable is equal to the distance between two adjacent groups of installation positions, two temperature sensors are arranged at the same installation position, one temperature sensor is directly fixed on the submarine cable to detect the temperature of the submarine cable, the other temperature sensor is arranged outside 50 centimeters near the installation position to detect the temperature of a nearby environment medium, and at the temperature of the environment medium, the resistance value of a wire in the submarine cable can be determined according to the material of the wire, so that the total resistance value of the submarine cable in the block section can be directly determined, the calorific value of the submarine cable in unit time can be calculated according to the current value in the submarine cable, the heat transfer speed is determined according to the heat conduction coefficient of the environment medium, and the theoretical temperature value of the submarine cable is obtained.
The resistance curve construction module 300 is configured to calculate actual block section resistance data according to the block section submarine cable temperature monitoring data and the real-time current data, and construct a resistance change curve according to the actual block section resistance data.
In the system, the resistance curve construction module 300 calculates actual resistance data of the interval according to the interval submarine cable temperature monitoring data and the real-time current data, the temperature directly obtained by using the temperature sensor fixed on the submarine cable is the temperature of the submarine cable, and the heat conductivity coefficient of the environment medium is determined, so that the current resistance of the cable can be directly reversely deduced.
And the fault early warning module 400 is used for carrying out early warning identification on the submarine cable risk according to the resistance change curve and carrying out fault judgment according to the theoretical temperature value and the submarine cable temperature monitoring data in the interval.
In the system, the fault early warning module 400 performs early warning identification on submarine cable risks according to resistance change curves, determines a fitting function corresponding to a current resistance change curve in a function fitting mode, brings time serving as an independent variable into the fitting function, so that estimated resistance data in a short time can be obtained, and can perform early warning according to the change trend and the numerical value of the estimated resistance data.
As shown in fig. 6, as a preferred embodiment of the present invention, the theoretical temperature calculation module 200 includes:
the resistance value query unit 201 is configured to retrieve preset parameters of the submarine cable facility and query the resistance values of the submarine cable at different temperatures.
In this module, the resistance query unit 201 retrieves preset submarine cable facility parameters, where the resistances of different types of submarine cables at different temperatures per unit length are recorded in the submarine cable facility parameters, and the resistance of the submarine cable can be determined according to the type of the current submarine cable and the length of the submarine cable in a block.
And the resistance value calculating unit 202 is used for reading the environmental temperature monitoring data of the section, extracting the environmental temperature value and determining the resistance value of the submarine cable at each moment.
In this module, the resistance value calculating unit 202 reads the environmental temperature monitoring data of the block section, and the temperature value detected at each moment is recorded in the environmental temperature monitoring data of the block section, that is, the environmental temperature value, so that the resistance value of the submarine cable in the block section at each moment can be determined.
And the theoretical temperature calculating unit 203 is used for inquiring the heat conductivity coefficient according to the environment medium so as to calculate a theoretical temperature value by combining the real-time current data.
In this module, the theoretical temperature calculation unit 203 queries the heat conductivity according to the environment medium, calculates the heat productivity according to the real-time current and the resistance value of the submarine cable, and determines the loss rate of heat according to the heat conductivity, thereby determining the theoretical temperature value of the submarine cable.
As shown in fig. 7, as a preferred embodiment of the present invention, the resistance curve building block 300 includes:
the data extraction unit 301 is configured to extract a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the block section, and extract a real-time current value at a corresponding moment.
In this module, the data extraction unit 301 extracts a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the block section, and since the submarine cable is directly provided with the temperature sensor, the temperature obtained by the temperature sensor is the temperature of the submarine cable, and the real-time submarine cable temperature value can be obtained by extracting according to the time sequence, and the current detection device can record the current in the submarine cable in real time to obtain the real-time current value.
And the coefficient query unit 302 is used for querying the heat conductivity coefficient according to the environment medium and calculating a real-time resistance value by combining the real-time submarine cable temperature value and the real-time current value.
In this module, the coefficient query unit 302 queries the thermal conductivity according to the environmental medium, and determines the heat dissipation efficiency between the submarine cable and the environmental medium according to the thermal conductivity, so as to reversely deduce the actual heat productivity of the submarine cable when knowing the actual temperature and current of the submarine cable, thereby calculating the actual resistance value.
And the curve drawing unit 303 is configured to construct a resistance change curve according to the real-time resistance value.
In this module, the curve drawing unit 303 constructs a resistance change curve according to the real-time resistance value, constructs a coordinate system, and records the resistance values calculated at each time in time sequence, where the abscissa is time and the ordinate is the resistance value.
As shown in fig. 8, as a preferred embodiment of the present invention, the fault pre-warning module 400 includes:
and a curve fitting unit 401, configured to perform function fitting according to the resistance change curve to obtain a resistance curve fitting function.
In this module, the curve fitting unit 401 performs function fitting according to the resistance change curve, for example, fitting discrete points in the coordinate system by using matlab software, to obtain a resistance curve fitting function.
The anomaly early warning unit 402 is configured to estimate resistance change within a preset time period according to a resistance curve fitting function, and determine whether the resistance change exceeds a preset value.
In this module, the anomaly early warning unit 402 predicts the resistance change in a preset time period according to a resistance curve fitting function, substitutes the time to be predicted into the resistance curve fitting function according to a preset time interval, calculates to obtain a corresponding value, and compares the value with a preset value to determine whether a fault risk exists.
And a fault determination unit 403, configured to calculate a difference between the theoretical temperature value and a temperature value monitored in the interval submarine cable temperature monitoring data, determine whether the difference is within a preset range, and determine whether a fault exists.
In this module, the fault determination unit 403 calculates a difference between a theoretical temperature value and a temperature value monitored in the interval submarine cable temperature monitoring data, the theoretical temperature value is obtained by calculation, the actual temperature value is directly measured, and if the difference between the theoretical temperature value and the actual temperature value is too large, it is determined that the submarine cable temperature is abnormal, and therefore it is determined that a fault exists; and each section is provided with a corresponding number, and when a fault occurs, the fault position of the submarine cable can be determined according to the number.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A dynamic management method for offshore wind power safety monitoring information is characterized by comprising the following steps:
acquiring safety monitoring data, wherein the safety monitoring data comprises interval submarine cable temperature monitoring data, interval environment temperature monitoring data and real-time current data;
calculating theoretical block section resistance data according to the block section environment temperature monitoring data, and calculating a theoretical temperature value by combining real-time current data;
calculating actual resistance data of the interval according to the temperature monitoring data of the submarine cable of the interval and the real-time current data, and constructing a resistance change curve according to the actual resistance data;
carrying out early warning identification on submarine cable risks according to the resistance change curve, and carrying out fault judgment according to a theoretical temperature value and submarine cable temperature monitoring data in a section;
according to resistance change curve to carry out early warning discernment to submarine cable risk to carry out the step of fault determination according to theoretical temperature value and the submarine cable temperature monitoring data of district section, specifically include:
performing function fitting according to the resistance change curve to obtain a resistance curve fitting function;
estimating resistance change in a preset time period according to a resistance curve fitting function, and judging whether the resistance change exceeds a preset value;
and calculating a difference value between the theoretical temperature value and the temperature value monitored in the interval submarine cable temperature monitoring data, judging whether the difference value is within a preset range, and determining whether a fault exists.
2. The offshore wind power safety monitoring information dynamic management method according to claim 1, wherein the step of calculating theoretical block section resistance data according to block section environment temperature monitoring data and calculating theoretical temperature value by combining real-time current data specifically comprises:
calling preset submarine cable facility parameters, and inquiring the resistance values of the submarine cables at different temperatures;
reading environmental temperature monitoring data of the interval, extracting an environmental temperature value, and determining the resistance value of the submarine cable at each moment;
and inquiring the heat conductivity coefficient according to the environment medium so as to calculate a theoretical temperature value by combining real-time current data.
3. The offshore wind power safety monitoring information dynamic management method according to claim 1, wherein the step of calculating actual block section resistance data according to block section submarine cable temperature monitoring data and real-time current data and constructing a resistance change curve according to the actual block section resistance data specifically comprises:
extracting a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the interval and extracting a real-time current value at a corresponding moment;
inquiring the heat conductivity coefficient according to the environment medium, and calculating a real-time resistance value by combining a real-time submarine cable temperature value and a real-time current value;
and constructing a resistance change curve according to the real-time resistance value.
4. The offshore wind power safety monitoring information dynamic management method according to claim 1, characterized in that a fault is determined to exist when a monitored temperature value in the interval submarine cable temperature monitoring data exceeds a preset value.
5. The offshore wind power safety monitoring information dynamic management method according to claim 1, characterized in that when a fault is determined, an alarm is issued, wherein the alarm contains the segment position where the fault occurs.
6. The dynamic management system for offshore wind power safety monitoring information is characterized by comprising the following components:
the data acquisition module is used for acquiring safety monitoring data, wherein the safety monitoring data comprises interval submarine cable temperature monitoring data, interval environment temperature monitoring data and real-time current data;
the theoretical temperature calculation module is used for calculating resistance data of the theoretical interval according to the environmental temperature monitoring data of the interval and calculating a theoretical temperature value by combining the real-time current data;
the resistance curve construction module is used for calculating actual resistance data of the interval according to the temperature monitoring data of the submarine cable of the interval and the real-time current data, and constructing a resistance change curve according to the actual resistance data of the interval;
the fault early warning module is used for carrying out early warning identification on submarine cable risks according to the resistance change curve and carrying out fault judgment according to a theoretical temperature value and submarine cable temperature monitoring data in a section;
the fault early warning module includes:
the curve fitting unit is used for performing function fitting according to the resistance change curve to obtain a resistance curve fitting function;
the abnormity early warning unit is used for predicting the resistance change in a preset time period according to the resistance curve fitting function and judging whether the resistance change exceeds a preset value;
and the fault determination unit is used for calculating a difference value between the theoretical temperature value and the temperature value monitored in the interval submarine cable temperature monitoring data, determining whether the difference value is within a preset range, and determining whether a fault exists.
7. The offshore wind power safety monitoring information dynamic management system of claim 6, wherein the theoretical temperature calculation module comprises:
the resistance value query unit is used for calling preset submarine cable facility parameters and querying the resistance values of the submarine cables at different temperatures;
the resistance value calculation unit is used for reading environmental temperature monitoring data in the section, extracting an environmental temperature value and determining the resistance value of the submarine cable at each moment;
and the theoretical temperature calculating unit is used for inquiring the heat conductivity coefficient according to the environment medium so as to calculate a theoretical temperature value by combining the real-time current data.
8. The offshore wind power safety monitoring information dynamic management system of claim 6, wherein the resistance curve construction module comprises:
the data extraction unit is used for extracting a real-time submarine cable temperature value from the submarine cable temperature monitoring data in the interval and extracting a real-time current value at a corresponding moment;
the coefficient query unit is used for querying the heat conductivity coefficient according to the environment medium and calculating a real-time resistance value by combining a real-time submarine cable temperature value and a real-time current value;
and the curve drawing unit is used for constructing a resistance change curve according to the real-time resistance value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211387857.4A CN115436755B (en) | 2022-11-08 | 2022-11-08 | Offshore wind power safety monitoring information dynamic management method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211387857.4A CN115436755B (en) | 2022-11-08 | 2022-11-08 | Offshore wind power safety monitoring information dynamic management method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115436755A CN115436755A (en) | 2022-12-06 |
| CN115436755B true CN115436755B (en) | 2023-02-10 |
Family
ID=84253038
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211387857.4A Active CN115436755B (en) | 2022-11-08 | 2022-11-08 | Offshore wind power safety monitoring information dynamic management method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115436755B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298703B (en) * | 2023-05-25 | 2023-07-25 | 深圳市智汉科技有限公司 | Intelligent distribution method and equipment for cable monitor |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102768321B (en) * | 2012-08-08 | 2018-04-24 | 上海森首光电科技有限公司 | A kind of power cable current-carrying capacity monitoring method |
| CN103065420A (en) * | 2012-12-19 | 2013-04-24 | 邹志武 | Unrecoverable cable-type linear heat fire detector and alarm method thereof |
| EP3078938B1 (en) * | 2015-04-07 | 2020-08-12 | NKT Photonics GmbH | Method and a device for monitoring an undersea cable |
| CN113255166A (en) * | 2021-06-28 | 2021-08-13 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Submarine cable fault detection method using temperature prediction |
| CN113538820A (en) * | 2021-07-14 | 2021-10-22 | 华能国际电力江苏能源开发有限公司 | Offshore wind farm submarine cable monitoring and protecting system and method |
-
2022
- 2022-11-08 CN CN202211387857.4A patent/CN115436755B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN115436755A (en) | 2022-12-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2927545C (en) | Integrated transformer health monitoring architecture | |
| CN108922123B (en) | mine slope slip stability monitoring and early warning method | |
| CN115436755B (en) | Offshore wind power safety monitoring information dynamic management method and system | |
| CN115693948A (en) | Power system fault monitoring method and monitoring system | |
| KR102126577B1 (en) | A Monitoring System of Photovoltaic Generation Using Multi-channel Module Sensors | |
| JP2007263584A (en) | Gas leakage detector and gas leakage detection method | |
| CN114783165B (en) | Cable channel external damage prevention online monitoring system based on distributed optical fiber vibration sensing | |
| CN115689393A (en) | Real-time dynamic monitoring system and method for power system based on Internet of things | |
| CN110674001B (en) | Server, and temperature alarm method and system based on server | |
| KR101893563B1 (en) | Black-box System and operating method thereof based on Internet Of Things | |
| CN104198068A (en) | Temperature monitoring device and temperature monitoring method for winding of oil immersed transformer | |
| CN115331403B (en) | Visual analysis method and system for fault data of power supply line | |
| CN116881673B (en) | Shield tunneling machine operation and maintenance method based on big data analysis | |
| CN111929579A (en) | Generator online fault diagnosis method and device and computer device | |
| KR20210133055A (en) | Temperature warning device at junction point of distribution power supply and alarm method according to temperature | |
| CN117408514A (en) | Intelligent operation and maintenance transformer substation monitoring and early warning system and method based on multi-parameter sensor | |
| CN116736134B (en) | Real-time energy storage battery data monitoring method and device | |
| JP2012012907A (en) | Dam measurement data evaluation method and dam measurement data evaluation system | |
| CN111562450B (en) | System and method for monitoring service life of reactor | |
| CN105628250A (en) | Power cable fault monitoring method based on grey GM(1,1) model | |
| CN117596265A (en) | Temperature measurement terminal data monitoring system and method based on wireless communication technology | |
| CN117039223A (en) | Cooling liquid leakage detection method, battery management system, liquid cooling system and equipment | |
| CN111693216A (en) | Cable water inflow detection method based on thermal parameter time change of filling layer material | |
| CN109784712B (en) | Lightning protection grounding real-time monitoring and risk prediction system and method based on Internet of things | |
| CN106771474A (en) | A kind of power points temperature prediction and alarm method suitable for electric control system for drilling machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |