A method and a device for predicting insulator pollution grade includes acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable, at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for predicting insulator pollution grade, comprising: acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable; at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status. 2. The method according to claim 1, further comprising: determining the probability that pollution flashover occurs on the insulator based on the predicted insulator pollution grade and an insulator pollution flashover model, wherein the pollution flashover model represents a relationship between the insulator pollution grade and pollution flashover occurrence. 3. The method according to claim 1, wherein the pollutant accumulation prediction is at least associated with air density, air speed and humidity contained in the prediction data. 4. The method according to claim 3, wherein the pollutant accumulation prediction is represented by equation ∫t1t2ρDV·e−r2+RH·dt, in which D represents average sea salt concentration in the area which the insulator is located in, ρ represents air density, V represents air speed, r represents the vertical distance from the insulator to coastline, RH represents relative humidity of the air, t1 represents the time corresponding to the current pollution status of the insulator; and t2 represents a moment in future. 5. The method according to claim 1, wherein the pollutant reduction prediction is at least associated with rainfall rate contained in the prediction data. 6. The method according to claim 5, wherein the pollutant reduction prediction is represented by equation ∫t1t2I0L·(1−e−R)·dt, wherein I0 represents the initial pollution status variable of the insulator; L represents an elimination coefficient; R represents the rainfall rate; t1 represents the time corresponding to the current pollution status of the insulator; and t2 represents a moment in future. 7. The method according to claim 1, wherein acquiring the current pollution status of the insulator comprises: determining a basic pollution status based on the position of the insulator in a pollution area distribution; and determining the current pollution status after updating the basic pollution status. 8. The method according to claim 7, wherein the pollution area distribution is a second pollution area distribution determined based on a first pollution area distribution and the insulator pollution grade calculating model, and the first pollution area distribution is determined based on the historical data. 9. The method according to claim 8, wherein determining the second pollution area distribution based on the first pollution area distribution and the insulator pollution grade calculating model comprises: determining the insulator pollution grade of each lattice point based on the first pollution area distribution and the insulator pollution grade calculating model; and determining the second pollution area distribution based on the insulator pollution grade of each lattice point. 10. The method according to claim 1, wherein the prediction data comprises at least one of: weather data, environment data, and geographic data. 11. A device for predicting insulator pollution grade, the device comprising: a first acquiring module, configured to acquire prediction data affecting the insulator pollution grade; a second acquiring module, configured to acquire the current pollution status of the insulator; a predicting module, configured to predict the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least includes the initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction on the basis of the initial pollution status variable; at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status. 12. The device according to claim 11, further comprising: a pollution flashover probability determining module, configured to determine the probability that pollution flashover occurs on the insulator based on the predicted insulator pollution grade and an insulator pollution flashover model, and the pollution flashover model represents a relationship between the insulator pollution grade and pollution flashover occurrence. 13. The device according to claim 10, wherein the pollutant accumulation prediction is at least associated with air density, air speed and humidity contained in the prediction data. 14. The device according to claim 13, wherein the pollutant accumulation prediction is represented by equation ∫t1t2ρDV·e−r2+RH·dt, in which D represents average sea salt concentration in the area which the insulator is located in, ρ represents the air density, V represents the air speed, r represents the vertical distance from the insulator to coastline, RH represents the relative humidity of the air, t1 represents the time corresponding to the current pollution status of the insulator; and t2 represents a moment in future. 15. The device according to claim 10, wherein the pollutant reduction prediction is at least associated with rainfall rate contained in the prediction data. 16. The device according to claim 15, wherein the pollutant reduction prediction is represented by equation ∫t1t2I0L·(1−e−R)·dt, wherein I0 represents the initial pollution status variable of the insulator; L represents an elimination coefficient; R represents the rainfall rate; t1 represents the time corresponding to the current pollution status of the insulator; and t2 represents a moment in future. 17. The device according to claim 11, wherein the predicting module further comprises: a module configured to determine a basic pollution status based on the position of the insulator in the pollution area distribution; and a module configured to determine the current pollution status after updating the basic pollution status. 18. The device according to claim 17, wherein the pollution area distribution is a second pollution area distribution determined based on a first pollution area distribution and the insulator pollution grade calculating model, and the first pollution area distribution is determined based on the historical data. 19. The device according to claim 18, wherein the module for determining the second pollution area distribution based on the first pollution area distribution and the insulator pollution grade calculating model comprises: a module for determining the insulator pollution grade of each lattice point based on the first pollution area distribution and the insulator pollution grade calculating model; and a module for determining the second pollution area distribution based on the insulator pollution grade of each lattice point. 20. The device according to claim 11, wherein the prediction data comprises at least one of: weather data, environment data, and geographic data.