CN117849653A - Working state monitoring method and system based on power management - Google Patents
Working state monitoring method and system based on power management Download PDFInfo
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Abstract
The invention discloses a working state monitoring method and a system based on power management, which relate to the technical field of circuit fault monitoring and comprise the following steps: summarizing at least one abnormal situation to obtain an abnormal situation set; after acquiring an abnormal test, the current change condition of the power supply line; according to the test result, an abnormal feedback model is established; summarizing at least one abnormal situation to obtain an abnormal situation set; after obtaining the abnormal test, the change condition of the load of the power supply line; establishing a load mutation model according to the test result; acquiring a target abnormal condition causing abnormal current of power supply equipment by using an abnormal feedback model; and using the load abrupt model to acquire a target abnormal condition causing abnormal load of the power supply equipment. By arranging the current test module, the model building module, the load test module and the comprehensive analysis module, the parameters of the abnormal situation or the abnormal situation are repaired in a targeted manner, and the actual effect of monitoring can be improved.
Description
Technical Field
The invention relates to the technical field of circuit fault monitoring, in particular to a working state monitoring method and system based on power management.
Background
A power supply is a device that provides power to an electronic device, also known as a power supply, and whether the voltage is stable will directly affect the operating performance and the service life of the electronic device. It provides the electrical power required by all components in the electronic device. The power supply current and the normal or abnormal state of the load relate to whether the operating state of the power supply is abnormal or not. Therefore, it is necessary to monitor the operation state of the power supply in order to find an abnormality in time.
The existing working state monitoring method of the power supply only judges whether the power supply is abnormal or not, but the specific reason for causing the abnormality cannot be determined, so that the power supply cannot be repaired in a targeted manner according to the monitoring result, and the monitoring effect is reduced.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides a working state monitoring method and a system based on power management, which solve the problems that the existing working state monitoring method of the power supply provided in the background art only judges whether the power supply is abnormal or not, but cannot determine the specific cause of the abnormality, so that the monitoring effect cannot be discounted due to the fact that the specific cause of the abnormality cannot be repaired in a targeted manner according to the monitoring result.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a power management-based working state monitoring method comprises the following steps:
acquiring a normal working current range of a power supply circuit of power supply equipment, and acquiring a normal working load range of the power supply circuit of the power supply equipment;
acquiring at least one abnormal condition causing abnormal current of the power supply equipment, and summarizing the at least one abnormal condition to obtain an abnormal condition set;
according to the abnormal condition, carrying out abnormal test on the current of the power supply line;
after acquiring an abnormal test, the current change condition of the power supply line;
according to the test result, an abnormal feedback model is established;
acquiring at least one abnormal situation which causes abnormal load of the power supply equipment, and summarizing the at least one abnormal situation to obtain an abnormal situation set;
carrying out mutation test on the load of the power supply line according to the abnormal situation;
after obtaining the abnormal test, the change condition of the load of the power supply line;
establishing a load mutation model according to the test result;
monitoring the operation condition of the power supply equipment in real time, and acquiring real-time working current and real-time working load;
when the real-time working current is out of the normal working current range, acquiring the real-time change condition of the current of the power supply line;
acquiring a target abnormal condition causing abnormal current of power supply equipment by using an abnormal feedback model;
when the real-time work load is out of the normal work load range, acquiring the real-time change condition of the load of the power supply line;
and using the load abrupt model to acquire a target abnormal condition causing abnormal load of the power supply equipment.
Preferably, the abnormality test for the current of the power supply line according to the abnormality condition includes the following steps:
and acquiring abnormal parameters of the abnormal condition, and testing the power supply circuit according to the abnormal parameters.
Preferably, after the abnormal test is obtained, the change condition of the current of the power supply line includes the following steps:
sampling the change condition of the current at preset time intervals to obtain at least one current sampling value;
according to the occurrence time of the current sampling value, making a current change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current sampling value;
fitting the current change image according to the current sampling value and the occurrence time to obtain a first fitting function;
and taking the first fitting function as the variation condition of the current of the power supply line after the abnormality test.
Preferably, the establishing the abnormal feedback model according to the test result includes the following steps:
pairing a first fitting function generated by carrying out abnormal test on the current of the power supply line with the corresponding abnormal condition to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain an abnormal feedback model.
Preferably, after the abnormal test is obtained, the change condition of the load of the power supply line includes the following steps:
sampling the change condition of the load at preset time intervals to obtain at least one load sampling value;
according to the occurrence time of the load sampling value, making a load change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load sampling value;
fitting the load change image according to the load sampling value and the occurrence time to obtain a second fitting function;
and taking the second fitting function as the variation condition of the load of the power supply line after the abnormal test.
Preferably, the establishing the load mutation model according to the test result includes the following steps:
pairing a second fitting function generated by carrying out abnormal test on the load of the power supply line with the corresponding abnormal situation to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain a load mutation model.
Preferably, the acquiring the target abnormal condition causing the abnormal current of the power supply device by using the abnormal feedback model includes the steps of:
sampling the real-time change condition of the current at preset time intervals to obtain at least one current real-time sampling value;
according to the occurrence time of the current real-time sampling value, making a real-time change image of the current in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current real-time sampling value;
fitting the real-time change image of the current according to the real-time sampling value and the occurrence time of the current to obtain a third fitting function;
taking a first fitting function in the abnormal feedback model, taking an absolute value after making a difference between the first fitting function and the third fitting function, and obtaining a first judging function;
integrating the first judging function in a preset time interval to obtain a first integral value;
traversing an abnormal feedback model by a first fitting function to obtain at least one first integral value;
selecting the minimum value in all the first integral values to obtain a first target integral value;
and (3) taking the abnormal condition of the first fitting function pairing corresponding to the first target integral value as the target abnormal condition.
Preferably, the obtaining, using the abrupt load model, the target abnormal condition causing the abnormal load of the power supply device includes the steps of:
sampling the real-time change condition of the load at preset time intervals to obtain at least one real-time load sampling value;
according to the occurrence time of the load real-time sampling value, making a real-time change image of the load in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load real-time sampling value;
fitting the real-time change image of the load according to the real-time sampling value and the occurrence time of the load to obtain a fourth fitting function;
taking a second fitting function in the load mutation model, taking an absolute value after making a difference between the second fitting function and a fourth fitting function, and obtaining a second judging function;
integrating the second judging function in a preset time interval to obtain a second integral value;
traversing the load mutation model by a second fitting function to obtain at least one second integral value;
selecting the minimum value in all the second integral values to obtain a second target integral value;
and (3) taking the abnormal situation of the second fitting function pair corresponding to the second target integral value as the target abnormal situation.
The utility model provides a working condition monitoring system based on power management, is used for realizing above-mentioned working condition monitoring method based on power management, includes:
the data acquisition module acquires a normal working current range of a power supply circuit of the power supply equipment and acquires a normal working load range of the power supply circuit of the power supply equipment;
the current testing module is used for carrying out abnormal testing on the current of the power supply line according to abnormal conditions;
the model building module is used for building an abnormal test model and a load mutation model;
the load test module is used for carrying out abrupt change test on the load of the power supply line according to abnormal conditions;
the real-time monitoring module monitors the operation condition of the power supply equipment in real time and acquires real-time working current and real-time working load;
and the comprehensive analysis module is used for acquiring a target abnormal condition causing current abnormality of the power supply equipment by using an abnormality feedback model and acquiring a target abnormal condition causing load abnormality of the power supply equipment by using a load mutation model.
Compared with the prior art, the invention has the beneficial effects that:
by setting the current test module, the model building module, the load test module and the comprehensive analysis module, the current change situation and the load change situation caused by various abnormal situations and abnormal situations are summarized, and as different abnormal situations correspond to different current change situations and different abnormal situations correspond to different load change situations, when power equipment fails, the real-time change situation of current is compared with an abnormal feedback model, the real-time change situation of load is compared with a load mutation model, and more accurate abnormal situations or abnormal situations can be judged and obtained, and further, the parameters of the abnormal situations or abnormal situations are subjected to targeted restoration, so that the actual effect of monitoring can be improved.
Drawings
FIG. 1 is a schematic flow chart of a power management-based working state monitoring method according to the present invention;
FIG. 2 is a flow chart of the current change condition of the power supply line after the acquisition of the abnormal test in the present invention;
FIG. 3 is a schematic flow chart of an abnormal feedback model established according to the test result;
FIG. 4 is a flow chart illustrating the load change of the power supply line after obtaining the abnormal test according to the present invention;
FIG. 5 is a schematic flow chart of a load mutation model established according to the test result;
FIG. 6 is a flow chart of the process of acquiring a target abnormal condition causing the abnormal current of the power supply device by using an abnormal feedback model;
FIG. 7 is a flow chart of the method for obtaining the target abnormal situation causing the abnormal load of the power supply equipment by using the load abrupt change model.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a power management-based operating state monitoring method includes:
acquiring a normal working current range of a power supply circuit of power supply equipment, and acquiring a normal working load range of the power supply circuit of the power supply equipment;
acquiring at least one abnormal condition causing abnormal current of the power supply equipment, and summarizing the at least one abnormal condition to obtain an abnormal condition set;
according to the abnormal condition, carrying out abnormal test on the current of the power supply line;
after acquiring an abnormal test, the current change condition of the power supply line;
according to the test result, an abnormal feedback model is established;
acquiring at least one abnormal situation which causes abnormal load of the power supply equipment, and summarizing the at least one abnormal situation to obtain an abnormal situation set;
carrying out mutation test on the load of the power supply line according to the abnormal situation;
after obtaining the abnormal test, the change condition of the load of the power supply line;
establishing a load mutation model according to the test result;
monitoring the operation condition of the power supply equipment in real time, and acquiring real-time working current and real-time working load;
when the real-time working current is out of the normal working current range, acquiring the real-time change condition of the current of the power supply line;
acquiring a target abnormal condition causing abnormal current of power supply equipment by using an abnormal feedback model;
when the real-time work load is out of the normal work load range, acquiring the real-time change condition of the load of the power supply line;
and using the load abrupt model to acquire a target abnormal condition causing abnormal load of the power supply equipment.
According to the abnormal condition, the abnormal test of the current of the power supply line comprises the following steps:
and acquiring abnormal parameters of the abnormal condition, and testing the power supply circuit according to the abnormal parameters.
Referring to fig. 2, after the abnormality test is acquired, the change condition of the current of the power supply line includes the steps of:
sampling the change condition of the current at preset time intervals to obtain at least one current sampling value;
according to the occurrence time of the current sampling value, making a current change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current sampling value;
fitting the current change image according to the current sampling value and the occurrence time to obtain a first fitting function;
taking the first fitting function as the variation condition of the current of the power supply line after the abnormal test;
after each abnormal condition occurs, the change conditions of the current of the power supply line are different, so that the change conditions of the current of the power supply line are fitted to obtain a first fitting function, the first fitting function is matched with the abnormal conditions, an abnormal feedback model is established, the corresponding abnormal condition can be judged through comparison of the real-time change conditions of the current and the first fitting function, and further the target abnormal condition causing the current abnormality of the power supply equipment is determined.
Referring to fig. 3, according to the test result, the method for establishing the abnormal feedback model includes the following steps:
pairing a first fitting function generated by carrying out abnormal test on the current of the power supply line with the corresponding abnormal condition to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain an abnormal feedback model.
Referring to fig. 4, after the abnormal test is obtained, the change condition of the load of the power supply line includes the steps of:
sampling the change condition of the load at preset time intervals to obtain at least one load sampling value;
according to the occurrence time of the load sampling value, making a load change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load sampling value;
fitting the load change image according to the load sampling value and the occurrence time to obtain a second fitting function;
taking the second fitting function as the variation condition of the load of the power supply line after the abnormal test;
after each abnormal condition occurs, the load change conditions of the power supply circuit are different, so that the load change conditions of the power supply circuit are fitted to obtain a second fitting function, the second fitting function is matched with the abnormal conditions, a load mutation model is established, the corresponding abnormal condition can be judged through comparison of the load real-time change conditions and the first fitting function, and then the target abnormal condition causing the abnormal load of the power supply equipment is determined.
Referring to fig. 5, according to the test result, the load mutation model is built up by the following steps:
pairing a second fitting function generated by carrying out abnormal test on the load of the power supply line with the corresponding abnormal situation to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain a load mutation model.
Referring to fig. 6, using an abnormality feedback model, acquiring a target abnormality causing an abnormality in the current of the power supply device includes the steps of:
sampling the real-time change condition of the current at preset time intervals to obtain at least one current real-time sampling value;
according to the occurrence time of the current real-time sampling value, making a real-time change image of the current in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current real-time sampling value;
fitting the real-time change image of the current according to the real-time sampling value and the occurrence time of the current to obtain a third fitting function;
taking a first fitting function in the abnormal feedback model, taking an absolute value after making a difference between the first fitting function and the third fitting function, and obtaining a first judging function;
integrating the first judging function in a preset time interval to obtain a first integral value;
traversing an abnormal feedback model by a first fitting function to obtain at least one first integral value;
selecting the minimum value in all the first integral values to obtain a first target integral value;
the abnormal condition of the first fitting function pair corresponding to the first target integral value is taken as a target abnormal condition;
the cause of the current abnormality of the power supply device can be approximately estimated by the abnormal condition in the abnormal feedback model, so that the abnormal condition closest to the cause of the current abnormality of the power supply device needs to be found, the real-time change image of the current is fitted to obtain a third fitting function, a first fitting function with the smallest difference with the third fitting function is obtained, and the abnormal condition corresponding to the first fitting function is taken as the target abnormal condition.
Referring to fig. 7, using the abrupt load model, acquiring a target abnormal condition causing a load abnormality of a power supply device includes the steps of:
sampling the real-time change condition of the load at preset time intervals to obtain at least one real-time load sampling value;
according to the occurrence time of the load real-time sampling value, making a real-time change image of the load in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load real-time sampling value;
fitting the real-time change image of the load according to the real-time sampling value and the occurrence time of the load to obtain a fourth fitting function;
taking a second fitting function in the load mutation model, taking an absolute value after making a difference between the second fitting function and a fourth fitting function, and obtaining a second judging function;
integrating the second judging function in a preset time interval to obtain a second integral value;
traversing the load mutation model by a second fitting function to obtain at least one second integral value;
selecting the minimum value in all the second integral values to obtain a second target integral value;
pairing abnormal conditions of a second fitting function corresponding to the second target integral value to serve as target abnormal conditions;
the cause of the abnormal load of the power supply equipment can be approximately estimated by the abnormal situation in the abrupt load model, so that the abnormal situation closest to the cause of the abnormal load of the power supply equipment needs to be found, the real-time change image of the load is fitted to obtain a fourth fitting function, a second fitting function with the smallest difference with the fourth fitting function is obtained, and the abnormal situation corresponding to the second fitting function is taken as the target abnormal situation.
The utility model provides a working condition monitoring system based on power management, is used for realizing above-mentioned working condition monitoring method based on power management, includes:
the data acquisition module acquires a normal working current range of a power supply circuit of the power supply equipment and acquires a normal working load range of the power supply circuit of the power supply equipment;
the current testing module is used for carrying out abnormal testing on the current of the power supply line according to abnormal conditions;
the model building module is used for building an abnormal test model and a load mutation model;
the load test module is used for carrying out abrupt change test on the load of the power supply line according to abnormal conditions;
the real-time monitoring module monitors the operation condition of the power supply equipment in real time and acquires real-time working current and real-time working load;
and the comprehensive analysis module is used for acquiring a target abnormal condition causing current abnormality of the power supply equipment by using an abnormality feedback model and acquiring a target abnormal condition causing load abnormality of the power supply equipment by using a load mutation model.
Still further, the present disclosure provides a storage medium having a computer readable program stored thereon, where the computer readable program executes the power management-based operating state monitoring method described above when called.
The working process of the working state monitoring system based on power management is as follows:
step one: the data acquisition module acquires a normal working current range of a power supply circuit of the power supply equipment and acquires a normal working load range of the power supply circuit of the power supply equipment;
step two: acquiring at least one abnormal condition causing abnormal current of the power supply equipment, and summarizing the at least one abnormal condition to obtain an abnormal condition set;
step three: the current testing module performs abnormal testing on the current of the power supply line according to the abnormal condition;
step four: after the abnormal test is obtained, the current change condition of the power supply line is obtained, and the model building module builds an abnormal feedback model according to the test result;
step five: acquiring at least one abnormal situation which causes abnormal load of the power supply equipment, and summarizing the at least one abnormal situation to obtain an abnormal situation set;
step six: the load test module performs mutation test on the load of the power supply line according to the abnormal situation;
step seven: after obtaining abnormal test, the model building module builds a load mutation model according to the test result;
step eight: the real-time monitoring module monitors the operation condition of the power supply equipment in real time and acquires real-time working current and real-time working load;
step nine: when the real-time working current is out of the normal working current range, acquiring the real-time change condition of the current of the power supply line;
the comprehensive analysis module uses an abnormal feedback model to acquire a target abnormal condition causing abnormal current of the power supply equipment;
when the real-time work load is out of the normal work load range, acquiring the real-time change condition of the load of the power supply line;
and the comprehensive analysis module acquires a target abnormal condition causing abnormal load of the power supply equipment by using the load abrupt change model.
It is understood that the storage medium may be a magnetic medium, e.g., floppy disk, hard disk, magnetic tape; optical media such as DVD; or a semiconductor medium such as a solid state disk SolidStateDisk, SSD, etc.
In summary, the invention has the advantages that: by setting the current test module, the model building module, the load test module and the comprehensive analysis module, the current change situation and the load change situation caused by various abnormal situations and abnormal situations are summarized, and as different abnormal situations correspond to different current change situations and different abnormal situations correspond to different load change situations, when power equipment fails, the real-time change situation of current is compared with an abnormal feedback model, the real-time change situation of load is compared with a load mutation model, and more accurate abnormal situations or abnormal situations can be judged and obtained, and further, the parameters of the abnormal situations or abnormal situations are subjected to targeted restoration, so that the actual effect of monitoring can be improved.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A power management-based operating condition monitoring method, comprising:
acquiring a normal working current range of a power supply circuit of power supply equipment, and acquiring a normal working load range of the power supply circuit of the power supply equipment;
acquiring at least one abnormal condition causing abnormal current of the power supply equipment, and summarizing the at least one abnormal condition to obtain an abnormal condition set;
according to the abnormal condition, carrying out abnormal test on the current of the power supply line;
after acquiring an abnormal test, the current change condition of the power supply line;
according to the test result, an abnormal feedback model is established;
acquiring at least one abnormal situation which causes abnormal load of the power supply equipment, and summarizing the at least one abnormal situation to obtain an abnormal situation set;
carrying out mutation test on the load of the power supply line according to the abnormal situation;
after obtaining the abnormal test, the change condition of the load of the power supply line;
establishing a load mutation model according to the test result;
monitoring the operation condition of the power supply equipment in real time, and acquiring real-time working current and real-time working load;
when the real-time working current is out of the normal working current range, acquiring the real-time change condition of the current of the power supply line;
acquiring a target abnormal condition causing abnormal current of power supply equipment by using an abnormal feedback model;
when the real-time work load is out of the normal work load range, acquiring the real-time change condition of the load of the power supply line;
and using the load abrupt model to acquire a target abnormal condition causing abnormal load of the power supply equipment.
2. The power management-based operating state monitoring method according to claim 1, wherein the abnormality test for the current of the power supply line according to the abnormality condition comprises the steps of:
and acquiring abnormal parameters of the abnormal condition, and testing the power supply circuit according to the abnormal parameters.
3. The method for monitoring the operation state based on the power management according to claim 2, wherein the step of obtaining the change condition of the current of the power supply line after the abnormal test comprises the steps of:
sampling the change condition of the current at preset time intervals to obtain at least one current sampling value;
according to the occurrence time of the current sampling value, making a current change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current sampling value;
fitting the current change image according to the current sampling value and the occurrence time to obtain a first fitting function;
and taking the first fitting function as the variation condition of the current of the power supply line after the abnormality test.
4. A power management-based operating state monitoring method according to claim 3, wherein the step of establishing an abnormal feedback model according to the test result comprises the steps of:
pairing a first fitting function generated by carrying out abnormal test on the current of the power supply line with the corresponding abnormal condition to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain an abnormal feedback model.
5. The power management-based operating condition monitoring method as set forth in claim 4, wherein the obtaining the abnormal test is followed by a change in the load of the power supply line, comprising the steps of:
sampling the change condition of the load at preset time intervals to obtain at least one load sampling value;
according to the occurrence time of the load sampling value, making a load change image in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load sampling value;
fitting the load change image according to the load sampling value and the occurrence time to obtain a second fitting function;
and taking the second fitting function as the variation condition of the load of the power supply line after the abnormal test.
6. The power management-based operating state monitoring method according to claim 5, wherein the step of establishing a load abrupt model according to the test result comprises the steps of:
pairing a second fitting function generated by carrying out abnormal test on the load of the power supply line with the corresponding abnormal situation to obtain an abnormal pairing group;
traversing the abnormal situation set by the abnormal situation to obtain at least one abnormal pairing group;
and summarizing at least one abnormal pairing group to obtain a load mutation model.
7. The power management-based operation state monitoring method according to claim 6, wherein the acquiring the target abnormality causing the abnormality of the current of the power supply device using the abnormality feedback model comprises the steps of:
sampling the real-time change condition of the current at preset time intervals to obtain at least one current real-time sampling value;
according to the occurrence time of the current real-time sampling value, making a real-time change image of the current in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the current real-time sampling value;
fitting the real-time change image of the current according to the real-time sampling value and the occurrence time of the current to obtain a third fitting function;
taking a first fitting function in the abnormal feedback model, taking an absolute value after making a difference between the first fitting function and the third fitting function, and obtaining a first judging function;
integrating the first judging function in a preset time interval to obtain a first integral value;
traversing an abnormal feedback model by a first fitting function to obtain at least one first integral value;
selecting the minimum value in all the first integral values to obtain a first target integral value;
and (3) taking the abnormal condition of the first fitting function pairing corresponding to the first target integral value as the target abnormal condition.
8. The power management-based operating condition monitoring method of claim 7, wherein the obtaining a target abnormal condition causing a load abnormality of the power supply device using the load abrupt model comprises the steps of:
sampling the real-time change condition of the load at preset time intervals to obtain at least one real-time load sampling value;
according to the occurrence time of the load real-time sampling value, making a real-time change image of the load in a coordinate system, wherein the horizontal axis is the occurrence time, and the vertical axis is the load real-time sampling value;
fitting the real-time change image of the load according to the real-time sampling value and the occurrence time of the load to obtain a fourth fitting function;
taking a second fitting function in the load mutation model, taking an absolute value after making a difference between the second fitting function and a fourth fitting function, and obtaining a second judging function;
integrating the second judging function in a preset time interval to obtain a second integral value;
traversing the load mutation model by a second fitting function to obtain at least one second integral value;
selecting the minimum value in all the second integral values to obtain a second target integral value;
and (3) taking the abnormal situation of the second fitting function pair corresponding to the second target integral value as the target abnormal situation.
9. A power management-based operating condition monitoring system for implementing the power management-based operating condition monitoring method according to any one of claims 1 to 8, comprising:
the data acquisition module acquires a normal working current range of a power supply circuit of the power supply equipment and acquires a normal working load range of the power supply circuit of the power supply equipment;
the current testing module is used for carrying out abnormal testing on the current of the power supply line according to abnormal conditions;
the model building module is used for building an abnormal test model and a load mutation model;
the load test module is used for carrying out abrupt change test on the load of the power supply line according to abnormal conditions;
the real-time monitoring module monitors the operation condition of the power supply equipment in real time and acquires real-time working current and real-time working load;
and the comprehensive analysis module is used for acquiring a target abnormal condition causing current abnormality of the power supply equipment by using an abnormality feedback model and acquiring a target abnormal condition causing load abnormality of the power supply equipment by using a load mutation model.
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