CN117214775A - Cable monitoring method and system based on parameter change rate - Google Patents
Cable monitoring method and system based on parameter change rate Download PDFInfo
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Abstract
The application relates to a cable monitoring method based on parameter change rate, which comprises the following steps: setting a plurality of types of monitoring nodes, presetting a plurality of time points, and collecting monitoring parameters of the corresponding types at all preset time points by each monitoring node; calculating the parameter change rate of each type of monitoring parameters according to the monitoring parameters of the corresponding type at all preset time points collected by each monitoring node; presetting a threshold value of parameter change rate of each type of monitoring parameter, and calculating parameter average value of the current type of monitoring parameter when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value; presetting a threshold value of parameter average value of each type of monitoring parameter, and generating alarm information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than the preset threshold value.
Description
Technical Field
The application relates to a cable monitoring method and system based on parameter change rate, and belongs to the technical field of intelligent cables.
Background
The usage amount of the power cable is increasing year by year, and because the cable operation environment is complex, the operation mode is unique, and the monitoring of the operation condition of the cable is also very important, so that the cable fault can be detected in time and overhauled.
Most of the existing cable monitoring systems are provided with corresponding thresholds aiming at monitoring parameters, when the monitoring parameter value reaches the thresholds, fault alarm is carried out, and further personnel are assigned to maintain.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a cable monitoring method and system based on parameter change rate.
The technical scheme of the application is as follows:
in one aspect, the application provides a cable monitoring method based on parameter change rate, comprising the following steps:
setting a plurality of types of monitoring nodes, presetting a plurality of time points, and collecting monitoring parameters of the corresponding types at all preset time points by each monitoring node;
calculating the parameter change rate of each type of monitoring parameters according to the monitoring parameters of the corresponding type at all preset time points collected by each monitoring node;
presetting a threshold value of parameter change rate of each type of monitoring parameter, and calculating parameter average value of the current type of monitoring parameter when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value;
presetting a parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value of the parameter average value.
As a preferred embodiment of the present application, for a parameter change rate of a certain type of monitoring parameter, the specific calculation steps are as follows:
calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters at each adjacent time point, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in the preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
As a preferred embodiment of the application, before judging whether the parameter change rate of each type of monitoring parameter is greater than the preset threshold value, the specific value of the preset threshold value is required to be determined, and the specific steps are as follows:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
As a preferred embodiment of the application, the corresponding type of monitoring parameter at all time points is summed and an average value is calculated, which is taken as the parameter average value of the type of monitoring parameter.
As a preferred embodiment of the application, before judging whether the parameter mean value of each type of monitoring parameter is greater than the preset value, the specific value of the preset value is required to be determined, and the specific steps are as follows:
presetting parameter average values of each type of monitoring parameters in different parameter change rate intervals;
and selecting the specific value of the parameter mean value according to the parameter change rate of the current type monitoring parameter.
On the other hand, the application also provides a cable monitoring system based on the parameter change rate, which comprises a monitoring data collection module, a parameter change rate calculation module, a parameter change rate judgment module, a parameter mean calculation module and an early warning module;
the monitoring data collection module is used for presetting a plurality of time points by setting a plurality of types of monitoring nodes, and each monitoring node is used for collecting monitoring parameters of the corresponding type at all preset time points;
the parameter change rate calculation module is used for calculating the parameter change rate of each type of monitoring parameter according to the corresponding type of monitoring parameter collected by each monitoring node at all preset time points;
the parameter change rate judging module is used for presetting a threshold value of the parameter change rate of each type of monitoring parameter, and when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value, the parameter mean value calculating module is called to calculate the parameter mean value of the current type of monitoring parameter;
the parameter average value calculation module is used for calculating parameter average values of different types of monitoring parameters;
the early warning module is used for presetting the parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value.
As a preferred embodiment of the present application, the parameter change rate calculating module calculates the parameter change rate of each type of monitoring parameter by the following specific steps:
for a certain type of monitoring parameters, under each adjacent time point, calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in a preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
As a preferred embodiment of the present application, the parameter change rate judging module needs to determine a specific value of a preset threshold value before judging whether the parameter change rate of each type of monitoring parameter is greater than the preset threshold value, and the specific steps are as follows:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
In yet another aspect, the present application further provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a method according to any of the embodiments of the present application when executing the program.
In yet another aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method according to any of the embodiments of the present application.
The application has the following beneficial effects:
1. according to the application, the parameter change rate is calculated according to the monitoring parameters, when the parameter change rate is larger than the preset threshold value, the parameter mean value corresponding to the monitoring parameters is calculated, and when the parameter mean value is larger than the preset mean value, the alarm information is generated, so that the problems that prediction cannot be reasonably carried out, a quick response mechanism after a situation is mostly caused, and accuracy is lacking in the prior art are solved, and the targeted early alarm can be realized through the optimized alarm mechanism, so that the fact that the cable is damaged is avoided.
Drawings
FIG. 1 is a flow chart of the present application;
FIG. 2 is a flow chart of the parameter change rate calculation of the present application;
FIG. 3 is a flow chart of the parameter change rate determination of the present application;
FIG. 4 is a flow chart of the parameter average value determination according to the present application;
FIG. 5 is a block diagram of a system of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the step numbers used herein are for convenience of description only and are not limiting as to the order in which the steps are performed.
It is to be understood that the terminology used in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Embodiment one:
referring to fig. 1, a method for monitoring a cable based on a parameter change rate includes the steps of:
setting a plurality of types of monitoring nodes, presetting a plurality of time points, and collecting monitoring parameters of the corresponding types at all preset time points by each monitoring node;
the monitoring parameters can be parameters collected by each cable monitoring node and can comprise monitoring parameters such as temperature parameters, humidity parameters, tension parameters and the like;
calculating the parameter change rate of each type of monitoring parameters according to the monitoring parameters of the corresponding type at all preset time points collected by each monitoring node;
presetting a threshold value of parameter change rate of each type of monitoring parameter, and calculating parameter average value of the current type of monitoring parameter when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value;
presetting a parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value of the parameter average value.
As a preferred implementation of this embodiment, for a parameter change rate of a certain type of monitoring parameter, the specific calculation steps are as follows:
calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters at each adjacent time point, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in the preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
In this embodiment, a preset time period is set, monitoring parameters collected by a cable monitoring node corresponding to the time period are acquired every preset time period, the change rates between two monitoring parameters at adjacent time points are calculated respectively, an average value of a plurality of change rates is calculated, and the obtained average value is determined as a parameter change rate; the parameters are acquired within a preset time period, so that the energy consumption can be reduced, and the average value of a plurality of change rates can reflect the change condition of the overall monitoring parameters; the change rates between two monitoring parameters at adjacent time points are calculated to be 30%, 20%, 60%, 10% and 20%, respectively, and the average value of the change rates is calculated to be 28%, so that the value of the parameter change rate is calculated to be 28%.
As a preferred implementation manner of this embodiment, before determining whether the parameter change rate of each type of monitoring parameter is greater than the preset threshold, determining a specific value of the preset threshold is required, which includes the following specific steps:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
In this embodiment, a comparison table between the current time point and different preset thresholds is preset, and the preset thresholds corresponding to the cable monitoring node are obtained by inquiring the comparison table of the time points and the set time thresholds, so that the judgment result is more accurate by correspondingly setting the different preset thresholds at the different time points, and the accuracy is improved; taking a temperature monitoring node as an example, a comparison table between different time points and different preset thresholds is shown in the following table:
the comparison table records different preset thresholds correspondingly set at different time points of the temperature monitoring node, and when the time point is 6 points, the corresponding preset threshold is 50%; when the time point is 7 points, the corresponding preset threshold value is 55%; when the time point is 8 points, the corresponding preset threshold value is 60 percent; when the time point is 9 points, the corresponding preset threshold value is 65%. The system calculates the parameter change rate of the monitoring parameter to be 60% according to the temperature monitoring parameter, the time point at the moment is 7, the preset threshold value corresponding to the temperature monitoring node at present is found to be 55% according to the time point and the set time threshold value comparison table, and then the temperature parameter change rate can be determined to be larger than the preset threshold value.
As a preferred implementation of the present embodiment, the corresponding type of monitoring parameters at all time points are summed and an average value is calculated, and the average value is taken as the parameter average value of the type of monitoring parameters.
In this embodiment, after determining a preset threshold value corresponding to a temperature cable monitoring node currently, determining that a temperature parameter change rate is greater than the preset threshold value corresponding to the temperature cable monitoring node currently, triggering a parameter average value calculation instruction, and summing the temperature monitoring parameters to obtain an average value 40, wherein the parameter values of the temperature monitoring parameters are 30, 25, 35, 30, 45, 40, 50 and 65 respectively, and the obtained average value is used as a parameter average value of the monitoring parameters, namely the parameter average value is 40; whether the parameter change rate meets the condition is judged first, whether the parameter mean value is calculated is then determined, logic compactness is improved, and unnecessary power consumption is reduced.
As a preferred implementation manner of this embodiment, before determining whether the parameter mean value of each type of monitoring parameter is greater than the preset value, determining a specific value of the preset value is required, which includes the following specific steps:
presetting parameter average values of each type of monitoring parameters in different parameter change rate intervals;
and selecting the specific value of the parameter mean value according to the parameter change rate of the current type monitoring parameter.
In the embodiment, a comparison table between different parameter change rates and different preset average values is preset, and the preset average value corresponding to the current cable monitoring node is obtained by inquiring the parameter change rate and the set average value comparison table, wherein the preset average value corresponding to the larger parameter change rate is smaller; and monitoring a comparison table between different parameter change rates and different preset average values of the nodes, wherein the comparison table is shown in the following table:
| rate of change of parameter | Preset average value |
| [30％，40％) | 70 |
| [40％，50％) | 60 |
| [50％，60％) | 50 |
| [60％，70％) | 40 |
| ...... | ...... |
The comparison table records different preset average values which are correspondingly set by different parameter change rates of the monitoring node, the larger the parameter change rate is, the smaller the corresponding preset average value is, and when the parameter change rate is between change rate sections (30% and 40%), the preset average value is 70; when the parameter change rate is between the change rate sections (40% and 50%), the preset average value is 60; when the parameter change rate is between the change rate sections (50% and 60%), the preset average value is 50; the preset mean value is 40 when the parameter change rate is between the change rate sections [60%, 70%). And the parameter change rate obtained by the system calculation is 55%, the parameter mean value is 60 in the change rate section (50% and 60%), and the preset mean value corresponding to the cable monitoring node currently is 50 according to the parameter change rate and the set mean value comparison table, so that the parameter mean value can be determined to be larger than the preset mean value.
And determining that the preset mean value corresponding to the parameter change rate is 50 currently, comparing the calculated parameter mean value with the preset mean value to obtain a parameter mean value of 60, triggering an alarm information generation instruction in response to a judgment result that the parameter mean value is larger than the preset mean value, generating alarm information and uploading the alarm information to a platform for maintenance by staff.
Fig. 2 is a flowchart of a method for calculating a parameter change rate based on a monitored parameter according to an embodiment of the present application, where, as shown in fig. 2, the method specifically includes:
step S201, acquiring monitoring parameters acquired corresponding to a preset time period every other preset time period, and calculating to obtain a parameter change rate according to the monitoring parameters.
The preset time period may be a period of a cable monitoring node preset in the system to collect monitoring parameters. Each cable monitoring node of different types collects the monitoring parameters of the corresponding type, the collected monitoring parameters are uploaded to the system, the system executes a monitoring parameter obtaining instruction, the monitoring parameters collected by the cable monitoring node corresponding to the time period are obtained every preset time period, and the parameter change rate of the monitoring parameters is obtained through calculation according to the obtained monitoring parameters. In one example, after the system acquires the monitoring parameters acquired by the cable monitoring nodes in the corresponding time period, performing data analysis processing on the acquired monitoring parameters, respectively calculating the change rates of the two monitoring parameters at adjacent time points, namely 30%,40%, 60%, 10% and 20%, calculating the average value of all the calculated change rates, wherein the obtained average value is 32%, and determining the average value of the calculated change rates as the parameter change rate, namely the parameter change rate is 32%; in another example, after the system acquires the monitoring parameters acquired by the cable monitoring nodes in the corresponding time period, data analysis processing is performed on the acquired monitoring parameters, the change rates of the two monitoring parameters in the first time point and the last time point are calculated, and the calculated change rates of the two monitoring parameters are determined to be parameter change rates.
Step S202, determining whether the parameter change rate is larger than a preset threshold value.
And step 203, calculating a parameter mean value corresponding to the monitoring parameter in response to the judgment result that the parameter change rate is greater than the preset threshold.
Step S204, determining whether the parameter mean value is larger than a preset mean value.
Step 205, generating alarm information in response to the judgment result that the parameter mean value is greater than the preset mean value.
From the above, the monitoring parameters uploaded by the cable monitoring node are obtained in real time, and the parameter change rate is calculated according to the monitoring parameters; determining whether the parameter change rate is greater than a preset threshold; responding to a judging result that the parameter change rate is larger than the preset threshold value, and calculating a parameter mean value corresponding to the monitoring parameter; determining whether the parameter mean value is larger than a preset mean value; and generating alarm information in response to a judgment result that the parameter average value is larger than the preset average value. According to the scheme, the parameter change rate is calculated according to the monitoring parameters, when the parameter change rate is larger than the preset threshold value, the parameter mean value corresponding to the monitoring parameters is calculated, and when the parameter mean value is larger than the preset mean value, alarm information is generated, so that the problems that prediction cannot be reasonably carried out, a quick response mechanism after the situation is mostly caused, and accuracy is lacking in the prior art are solved, targeted early alarm can be realized through an optimized alarm mechanism, and the fact that a cable is damaged is avoided.
Fig. 3 is a flowchart of a method for determining whether a parameter change rate is greater than a preset threshold according to an embodiment of the present application, as shown in fig. 3, specifically including:
and step 301, acquiring monitoring parameters uploaded by the cable monitoring nodes in real time, and calculating to obtain a parameter change rate according to the monitoring parameters.
Step S302, determining a preset threshold value corresponding to the cable monitoring node currently, and determining whether the parameter change rate is larger than the preset threshold value.
Before judging whether the parameter change rate is larger than a preset threshold, determining the preset threshold corresponding to the cable monitoring node at present according to the data information, and judging whether the parameter change rate is larger than the preset threshold corresponding to the cable monitoring node at present based on the determined preset threshold. In one example, a comparison table between different time points and different preset thresholds is set in the system, the time points are different, the preset thresholds corresponding to the cable monitoring nodes currently are also different, the current time point is obtained, the preset thresholds corresponding to the cable monitoring nodes currently are inquired out from the comparison table of the preset thresholds set in the system according to the time points, and whether the calculated parameter change rate is larger than the preset threshold corresponding to the cable monitoring nodes currently is judged; in another example, different preset thresholds are set for different types of cable monitoring nodes in the system, data type analysis is performed on the acquired monitoring parameters, the type of the corresponding cable monitoring node is determined, the preset threshold corresponding to the cable monitoring node is queried according to the type of the cable monitoring node, and whether the calculated parameter change rate is larger than the preset threshold corresponding to the cable monitoring node is judged according to the queried preset threshold.
Step S303, responding to the judgment result that the parameter change rate is larger than the preset threshold value, and calculating a parameter mean value corresponding to the monitoring parameter.
Step S304, determining whether the parameter mean value is larger than a preset mean value.
Step 305, generating alarm information in response to the judgment result that the parameter mean value is greater than the preset mean value.
From the above, the monitoring parameters uploaded by the cable monitoring node are obtained in real time, and the parameter change rate is calculated according to the monitoring parameters; determining whether the parameter change rate is greater than a preset threshold; responding to a judging result that the parameter change rate is larger than the preset threshold value, and calculating a parameter mean value corresponding to the monitoring parameter; determining whether the parameter mean value is larger than a preset mean value; and generating alarm information in response to a judgment result that the parameter average value is larger than the preset average value. According to the scheme, the parameter change rate is calculated according to the monitoring parameters, when the parameter change rate is larger than the preset threshold value, the parameter mean value corresponding to the monitoring parameters is calculated, and when the parameter mean value is larger than the preset mean value, alarm information is generated, so that the problems that prediction cannot be reasonably carried out, a quick response mechanism after the situation is mostly caused, and accuracy is lacking in the prior art are solved, targeted early alarm can be realized through an optimized alarm mechanism, and the fact that a cable is damaged is avoided.
Fig. 4 is a flowchart of a method for determining whether a parameter mean value is greater than a preset mean value according to an embodiment of the present application, as shown in fig. 4, specifically including:
and S401, acquiring monitoring parameters uploaded by the cable monitoring nodes in real time, and calculating to obtain the parameter change rate according to the monitoring parameters.
Step S402, determining whether the parameter change rate is larger than a preset threshold.
Step S403, calculating a parameter mean value corresponding to the monitoring parameter in response to the determination result that the parameter change rate is greater than the preset threshold.
And step S404, determining a preset mean value corresponding to the cable monitoring node currently according to the parameter change rate, and determining whether the parameter mean value is larger than the preset mean value.
Before judging whether the parameter mean value is larger than the preset mean value, determining the preset mean value corresponding to the cable monitoring node currently according to the calculated parameter change rate, and judging whether the parameter mean value of the monitoring parameter is larger than the preset mean value corresponding to the cable monitoring node currently based on the determined preset mean value. In one example, a comparison table between different parameter change rates and different preset average values is arranged in the system, wherein the preset average value corresponding to the larger parameter change rate is smaller, the different parameter change rates correspond to different preset average values, one change rate section corresponds to one preset average value, the preset average value corresponding to the current cable monitoring node is inquired out from the average value comparison table arranged in the system according to the parameter change rate, and whether the calculated parameter average value is larger than the preset average value corresponding to the current cable monitoring node is judged; in another example, a calculation formula is preset in the system to calculate a corresponding preset average value according to the parameter change rate of the monitoring parameter, the parameter change rate is substituted into the calculation formula to obtain the corresponding preset average value, and whether the calculated parameter average value is larger than the preset average value corresponding to the cable monitoring node currently is judged.
And step 405, generating alarm information in response to a judgment result that the parameter mean value is larger than the preset mean value.
From the above, the monitoring parameters uploaded by the cable monitoring node are obtained in real time, and the parameter change rate is calculated according to the monitoring parameters; determining whether the parameter change rate is greater than a preset threshold; responding to a judging result that the parameter change rate is larger than the preset threshold value, and calculating a parameter mean value corresponding to the monitoring parameter; determining whether the parameter mean value is larger than a preset mean value; and generating alarm information in response to a judgment result that the parameter average value is larger than the preset average value. According to the scheme, the parameter change rate is calculated according to the monitoring parameters, when the parameter change rate is larger than the preset threshold value, the parameter mean value corresponding to the monitoring parameters is calculated, and when the parameter mean value is larger than the preset mean value, alarm information is generated, so that the problems that prediction cannot be reasonably carried out, a quick response mechanism after the situation is mostly caused, and accuracy is lacking in the prior art are solved, targeted early alarm can be realized through an optimized alarm mechanism, and the fact that a cable is damaged is avoided.
Embodiment two:
referring to fig. 5, a cable monitoring system based on parameter change rate includes a monitoring data collection module, a parameter change rate calculation module, a parameter change rate judgment module, a parameter mean calculation module and an early warning module;
the monitoring data collection module is used for presetting a plurality of time points by setting a plurality of types of monitoring nodes, and each monitoring node is used for collecting monitoring parameters of the corresponding type at all preset time points;
the parameter change rate calculation module is used for calculating the parameter change rate of each type of monitoring parameter according to the corresponding type of monitoring parameter collected by each monitoring node at all preset time points;
the parameter change rate judging module is used for presetting a threshold value of the parameter change rate of each type of monitoring parameter, and when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value, the parameter mean value calculating module is called to calculate the parameter mean value of the current type of monitoring parameter;
the parameter average value calculation module is used for calculating parameter average values of different types of monitoring parameters;
the early warning module is used for presetting the parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value.
As a preferred implementation manner of this embodiment, the parameter change rate calculating module calculates the parameter change rate of each type of monitoring parameter by the following specific steps:
for a certain type of monitoring parameters, under each adjacent time point, calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in a preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
As a preferred implementation manner of this embodiment, the parameter change rate determining module needs to determine a specific value of the preset threshold value before determining whether the parameter change rate of each type of monitoring parameter is greater than the preset threshold value, and specifically includes the following steps:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
Embodiment III:
the embodiment provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the method according to any embodiment of the application;
referring to fig. 6, the apparatus comprises a processor 201, a memory 202, an input device 203 and an output device 204; the number of processors 201 in the device may be one or more, one processor 201 being taken as an example in fig. 6; the processor 201, memory 202, input devices 203, and output devices 204 in the apparatus may be connected by a bus or other means, for example in fig. 6. The memory 202 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to the cable monitoring method based on the rate of change of parameters in the embodiment of the present application. The processor 201 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 202, i.e. implements the above-described method of cable monitoring based on a parametric rate of change. The input means 203 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.
Embodiment four:
the present embodiment proposes a computer readable storage medium, which when executed by a computer processor is for performing a method of cable monitoring based on a parametric rate of change, the method comprising:
acquiring monitoring parameters uploaded by a cable monitoring node in real time, and calculating to obtain a parameter change rate according to the monitoring parameters; determining whether the parameter change rate is greater than a preset threshold; responding to a judging result that the parameter change rate is larger than the preset threshold value, and calculating a parameter mean value corresponding to the monitoring parameter; determining whether the parameter mean value is larger than a preset mean value; and generating alarm information in response to a judgment result that the parameter average value is larger than the preset average value.
In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relation of association objects, and indicates that there may be three kinds of relations, for example, a and/or B, and may indicate that a alone exists, a and B together, and B alone exists. Wherein A, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of the following" and the like means any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Those of ordinary skill in the art will appreciate that the various elements and algorithm steps described in the embodiments disclosed herein can be implemented as a combination of electronic hardware, computer software, and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In several embodiments provided by the present application, any of the functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (hereinafter referred to as ROM), a random access Memory (Random Access Memory) and various media capable of storing program codes such as a magnetic disk or an optical disk.
The foregoing description is only illustrative of the present application and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present application.
Claims (10)
1. The cable monitoring method based on the parameter change rate is characterized by comprising the following steps of:
setting a plurality of types of monitoring nodes, presetting a plurality of time points, and collecting monitoring parameters of the corresponding types at all preset time points by each monitoring node;
calculating the parameter change rate of each type of monitoring parameters according to the monitoring parameters of the corresponding type at all preset time points collected by each monitoring node;
presetting a threshold value of parameter change rate of each type of monitoring parameter, and calculating parameter average value of the current type of monitoring parameter when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value;
presetting a parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value of the parameter average value.
2. The method for monitoring a cable based on a parameter change rate according to claim 1, wherein for a parameter change rate of a certain type of monitoring parameter, the specific calculation steps are as follows:
calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters at each adjacent time point, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in the preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
3. The method for monitoring a cable based on a parameter change rate according to claim 1, wherein before determining whether the parameter change rate of each type of monitoring parameter is greater than a preset threshold, determining a specific value of the preset threshold comprises the following specific steps:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
4. A method of monitoring a cable based on a rate of change of parameters according to claim 1, wherein the corresponding type of monitoring parameters at all points in time are summed and an average value is calculated, which is taken as the parameter average value for that type of monitoring parameter.
5. The method for monitoring a cable based on a parameter change rate according to claim 1, wherein before determining whether the parameter mean value of each type of monitoring parameter is greater than the preset value, determining a specific value of the preset value comprises the following specific steps:
presetting parameter average values of each type of monitoring parameters in different parameter change rate intervals;
and selecting the specific value of the parameter mean value according to the parameter change rate of the current type monitoring parameter.
6. The cable monitoring system based on the parameter change rate is characterized by comprising a monitoring data collection module, a parameter change rate calculation module, a parameter change rate judgment module, a parameter mean value calculation module and an early warning module;
the monitoring data collection module is used for presetting a plurality of time points by setting a plurality of types of monitoring nodes, and each monitoring node is used for collecting monitoring parameters of the corresponding type at all preset time points;
the parameter change rate calculation module is used for calculating the parameter change rate of each type of monitoring parameter according to the corresponding type of monitoring parameter collected by each monitoring node at all preset time points;
the parameter change rate judging module is used for presetting a threshold value of the parameter change rate of each type of monitoring parameter, and when the parameter change rate of a certain type of monitoring parameter is larger than the preset threshold value, the parameter mean value calculating module is called to calculate the parameter mean value of the current type of monitoring parameter;
the parameter average value calculation module is used for calculating parameter average values of different types of monitoring parameters;
the early warning module is used for presetting the parameter average value of each type of monitoring parameter, and generating early warning information of the corresponding type of monitoring parameter when the parameter average value of a certain type of monitoring parameter is larger than a preset value.
7. The cable monitoring system based on parameter change rate according to claim 6, wherein the parameter change rate calculating module calculates the parameter change rate of each type of monitoring parameter by:
for a certain type of monitoring parameters, under each adjacent time point, calculating the change percentage of the monitoring parameter of the current time point relative to the monitoring parameter of the previous time point as the change rate between the two monitoring parameters, and finally obtaining the change rate between all the monitoring parameters of the adjacent time points in a preset time point;
and calculating the average value of the change rates among all the monitoring parameters at the adjacent time points, and taking the average value as the parameter change rate of the current type of monitoring parameters.
8. The cable monitoring system based on parameter change rate according to claim 6, wherein the parameter change rate judging module determines a specific value of the preset threshold value before judging whether the parameter change rate of each type of monitoring parameter is greater than the preset threshold value, and the specific steps are as follows:
presetting thresholds of parameter change rates of each type of monitoring parameters at different time points;
the current time point is obtained, and a specific value of a preset threshold value is selected according to the current time point.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 5 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 5.
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| CN202311286897.4A CN117214775A (en) | 2023-10-07 | 2023-10-07 | Cable monitoring method and system based on parameter change rate |
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