Industry reworking and reproducing degree monitoring method
An industry-level technology, applied in the field of energy consumption detection, can solve the problems of inability to understand the degree of resumption of work and production, lack of effective methods for monitoring, and inability to accurately judge the degree of resumption of work and production of enterprises.
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Embodiment 1
[0050] A method for monitoring the degree of resumption of work and production in an industry, such as figure 1 shown, including the following steps:
[0051] Step 1. Obtain multivariate heterogeneous data related to the company's power resources over the years, and integrate the multivariate heterogeneous data;
[0052] Step 2, select several eigenvalues of multivariate heterogeneous data, and cluster enterprises according to several eigenvalues;
[0053] Step 3. The enterprises under the same cluster are enterprises in the same industry. First, obtain the power resource usage data of the enterprises in the current year, and construct the power index curve of the enterprise’s resumption of work and production. Then the system calculates the average power resource utilization data of enterprises in the same industry, and constructs Industry resumption of production and production power index curve, enterprise resumption of production and production power index curve and ind...
Embodiment 2
[0083] Embodiment 2: A method for monitoring the degree of resumption of work and production in an industry. Its principle and implementation method are basically the same as in Embodiment 1. The difference is that in Step 2, the clustering method specifically includes the following sub-steps:
[0084] Sub-step 1, select the eigenvalues of several multivariate heterogeneous data, and normalize the eigenvalues;
[0085] Sub-step 2, select several enterprises as clustering center enterprises, and other enterprises are enterprises to be clustered;
[0086] Sub-step 3, calculate the Euclidean distance according to the eigenvalues of the multivariate heterogeneous data of the enterprise to be clustered and the eigenvalues of the multivariate heterogeneous data of the cluster center enterprise. If the distance between an enterprise to be clustered and a cluster center enterprise is the shortest, Then divide the enterprise to be clustered into the cluster center enterprise clas...
Embodiment 3
[0090] Example 3: A method for monitoring the degree of resumption of work and production in an industry. Its principle and implementation method are basically the same as in Example 1. The difference is that in step 3, the power index curve of the resumption of work and production in the industry is compared with the data in previous years to determine the resumption of work in the industry. The specific method for the degree of resumption of production is: if the industry enters the resumption of work and production stage, calculate the ratio of electricity consumption to the average electricity consumption in the full capacity stage of previous years, and the ratio is the completion coefficient of resumption of work and production. Average electricity consumption increment, estimate the number of days required for the industry to enter the stage of full production capacity, or calculate the slope of the curve based on the electricity consumption curve that has entered the sta...
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