Target object state level determination method and device and storage medium
By receiving target and non-target power information, calculating the degree of power change and performing weighted normalization, the problem of inaccurate data in existing technologies is solved, and accurate assessment of the target object's state and reduction of losses are achieved.
Patent Information
- Application Number
- CN202511377423.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-25
- Publication Date
- 2026-01-13
AI Technical Summary
Existing target status monitoring systems rely on financial statement data, which suffers from poor timeliness and the risk of human manipulation, resulting in inaccurate data. Furthermore, the lack of a multi-dimensional indicator system leads to low assessment accuracy.
By receiving target and non-target power information, the degree of power change is calculated separately. Combined with weighted normalization processing, the status level of the target object is comprehensively evaluated, and multi-dimensional reference data is introduced to improve the accuracy of the evaluation.
It enables accurate assessment of the target object's operational status, allowing for timely intervention and mitigation of losses.
Smart Images
Figure CN121329210A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data processing technology, and in particular to a method, device, and storage medium for determining the state level of a target object. Background Technology
[0002] Currently, to maximize benefits or minimize losses for target entities, it is typically necessary to monitor their operational status, ranging from large industrial parks to small individual enterprises. The current mainstream approach relies heavily on financial statement data to build assessment models; however, this type of data suffers from poor timeliness and inaccuracies due to human manipulation risks. Electricity data is often considered a barometer of the economy, with changes in electricity consumption across different industries reflecting industry trends. However, current monitoring systems still suffer from the following problems: electricity consumption is simply compared without constructing a multi-dimensional indicator system; the various other monitoring indicators are insufficient for accurately assessing the operational status of target entities; and there are significant differences in electricity consumption benchmarks across different industries, resulting in low accuracy of existing general assessment models.
[0003] Therefore, this invention proposes a method, device, and storage medium for determining the state level of a target object based on power data, which yields more reliable evaluation results. Summary of the Invention
[0004] To address the aforementioned technical problems, this invention provides a method, device, and storage medium for determining the state level of a target object, which can accurately and reliably determine the stability level of the target object's operating state, facilitating timely implementation of relevant measures and effectively reducing losses.
[0005] According to a first aspect of the present invention, a method for determining the state level of a target object is provided, comprising the following steps:
[0006] S100, receive target power information and non-target power information for the current time period sent by the target server; the target server is any initial server in the initial server list, wherein the initial server is the server corresponding to the initial object.
[0007] S200: Based on the target power information for the current time period, obtain the first current change level of the target server for the current time period.
[0008] S300 obtains the second current change level of the target server corresponding to the current time period based on the non-target power information of the current time period.
[0009] S400, based on the first current change degree and the second current change degree corresponding to the target server in the current time period and the previous time period respectively, the target state information corresponding to the target object is obtained; the target object is the initial object corresponding to the target server.
[0010] S500, determine the target status level corresponding to the target object based on the target status information corresponding to the target object.
[0011] According to a second aspect of the present invention, a non-transitory computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement the above-described method for determining the state level of a target object.
[0012] According to a third aspect of the present invention, an electronic device is provided, including a processor and the aforementioned non-transitory computer-readable storage medium.
[0013] The present invention has at least the following beneficial effects:
[0014] This invention provides a method for determining the state level of a target object. First, it receives target power information and non-target power information for the current time period from a target server. Based on the target power information for the current time period, it obtains the first current change degree of the target server for the current time period. Based on the non-target power information for the current time period, it obtains the second current change degree of the target server for the current time period. Since the target power information has a strong influence on the state level assessment of the target object, while the non-target power information has a weak influence, they are calculated separately to make the obtained change degree more reasonable. Then, based on the first and second current change degrees of the target server in the current and previous time periods, respectively, it obtains the target state information of the target server. Based on the target state information, it determines the target state level of the target server. The reasonable change degree makes the obtained state information more accurate, and by obtaining reference data from multiple dimensions in the target state information, it helps improve the accuracy of the judgment of the target state level of the target server. Therefore, it can accurately reflect the stability of the target object's operating state, which is conducive to taking relevant processing measures in a timely manner and effectively reducing losses. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 A flowchart of a method for determining the state level of a target object provided in an embodiment of the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] This invention provides a method for determining the state level of a target object, such as... Figure 1 As shown, the method includes the following steps:
[0019] S100: Receive target power information and non-target power information for the current time period from the target server. Those skilled in the art can set the current time period according to actual needs, such as one month, meaning a stable operating status assessment is performed monthly.
[0020] Specifically, the target server is any initial server in the initial server list, where the initial server is the server corresponding to the initial object. For example, the initial object can be an enterprise or a platform, etc.
[0021] Specifically, the target power consumption information includes several target power consumption data corresponding to the current time period. For example, the target power consumption data includes the actual power consumption duration of the target object, the actual power consumption change rate of the target object, the average change rate of the actual power consumption of the target object, and the stability of the actual power consumption change rate of the target object. The target object is the initial object corresponding to the target server.
[0022] Specifically, the non-target electricity consumption information includes: several non-target electricity consumption data corresponding to the current time period. For example, the non-target electricity consumption data are the actual number of electricity bill payments of the target object, the change rate of electricity bill payments of the target object, the rent payment efficiency of the target object, the change rate of personnel size of the target object, the change rate of registered capital of the target object, and the change rate of intellectual property rights of the target object.
[0023] S200: Based on the target power information for the current time period, obtain the first current change level of the target server for the current time period.
[0024] Specifically, step S200 also includes the following steps:
[0025] S201, normalize the electricity consumption data for each target to obtain the intermediate electricity consumption information corresponding to the target electricity consumption information.
[0026] S202, Based on the intermediate power consumption information, generate the first current change level of the target server.
[0027] In a specific embodiment, when the number of target electricity consumption data is 4, step S200 includes the following steps:
[0028] Obtain the target power consumption information A={A1, A2, A3, A4} of the target server, where A1 is the actual power consumption duration of the target object, A2 is the actual power consumption change rate of the target object, A3 is the average change rate of the actual power consumption of the target object, and A4 is the stability of the actual power consumption change rate of the target object.
[0029] Normalize A to obtain the intermediate power consumption information B={B1, B2, B3, B4} corresponding to A, where B1 is the intermediate power consumption data corresponding to A1, B2 is the intermediate power consumption data corresponding to A2, B3 is the intermediate power consumption data corresponding to A3, and B4 is the intermediate power consumption data corresponding to A4.
[0030] Based on B, the first degree of change F1 of the target server is obtained, where F1 satisfies the following condition:
[0031] F1 = WB1×B1 + WB2×B2 + WB3×B3 + WB4×B4, where WB1 is the weight corresponding to B1, WB2 is the weight corresponding to B2, WB3 is the weight corresponding to B3, and WB4 is the weight corresponding to B4.
[0032] Preferably, when A1 > A0, WB1 = WB2 = WB3 = WB4 = 1 / 4, where A0 is a preset power consumption duration threshold.
[0033] Preferably, when A1≤A0, WB1 meets the following condition:
[0034] ;
[0035] WB2 meets the following conditions:
[0036] ;
[0037] WB3 meets the following conditions:
[0038] ;
[0039] WB4 meets the following conditions:
[0040] .
[0041] Alternatively, WB4 meets the following conditions:
[0042] ;
[0043] WB3 meets the following conditions:
[0044] ;
[0045] WB2 meets the following conditions:
[0046] ;
[0047] WB1 meets the following conditions:
[0048] .
[0049] Preferably, when normalizing A, B1 meets the following conditions: B2 meets the following conditions: B3 meets the following conditions: B4 meets the following conditions: .
[0050] As mentioned above, when the actual electricity consumption duration of the target object exceeds a certain threshold, it indicates that the target object exists for a relatively long period of time, which proves that the target object has good stability. At the same time, the data reflecting the stability of the actual electricity consumption change rate, the average change rate of actual electricity consumption, and the actual electricity consumption change rate are more reliable. Therefore, the stability of the actual electricity consumption duration, the actual electricity consumption change rate, the average change rate of actual electricity consumption, and the actual electricity consumption change rate has a consistent effect. Conversely, when the actual electricity consumption duration of the target object does not exceed a certain threshold, it indicates that the target object exists for a relatively short period of time, which indicates that the stability of the target object is low. Moreover, the stability represented by the stability of the actual electricity consumption duration, the actual electricity consumption change rate, the average change rate of actual electricity consumption, and the actual electricity consumption change rate increases sequentially. Therefore, the weights are set from small to large, making the first degree of change more reasonable and reliable.
[0051] S300 obtains the second current change level of the target server corresponding to the current time period based on the non-target power information of the current time period.
[0052] Specifically, the S300 procedure also includes the following steps:
[0053] S301, normalize each non-target electricity consumption data to obtain the non-intermediate electricity consumption information corresponding to the non-target electricity consumption information.
[0054] S302, based on the non-intermediate power consumption information, obtain the second current change level of the target server.
[0055] In a specific embodiment, when the number of non-target electricity consumption data is 6, step S300 includes the following steps:
[0056] Obtain non-target electricity usage information C={C1, C2, C3, C4, C5, C6} from the target server. C1 is the number of actual electricity bill payments by the target entity, C2 is the electricity bill payment change rate of the target entity, C3 is the number of rent payments by the target entity, C4 is the registered capital change rate of the target entity, C5 is the personnel size change rate of the target entity, and C6 is the intellectual property change rate of the target entity. For example, the registered capital change rate of the target entity is the ratio of the registered capital to the paid-in capital; the personnel size change rate is the ratio of the number of personnel in the current period to the number of personnel in the previous period; and the intellectual property change rate is the ratio of the number of intellectual property rights in the current period to the number of intellectual property rights in the previous period.
[0057] Normalize C to obtain the non-intermediate power consumption information D={D1, D2, D3, D4, D5, D6} corresponding to C, where D1 is the non-intermediate power consumption data corresponding to C1, D2 is the non-intermediate power consumption data corresponding to C2, D3 is the non-intermediate power consumption data corresponding to C3, D4 is the non-intermediate power consumption data corresponding to C4, D5 is the non-intermediate power consumption data corresponding to C5, and D6 is the non-intermediate power consumption data corresponding to C6.
[0058] Based on D, the second degree of change F2 of the target server is obtained, where F2 satisfies the following condition:
[0059] F2 = WD1×D1 + WD2×D2 + WD3×D3 + WD4×D4 + WD5×D5 + WD6×D6, where WD1 is the weight corresponding to D1, WD2 is the weight corresponding to D2, WD3 is the weight corresponding to D3, WD4 is the weight corresponding to D4, WD5 is the weight corresponding to D5, and WD6 is the weight corresponding to D6, and WD1 + WD2 + WD3 + WD4 + WD5 + WD6 = 1, WD1 = WD2 = WD3 = WD4 = WD5 = WD6 = 1 / 6.
[0060] Preferably, when normalizing C1, D1 meets the following conditions:
[0061] C0 is the preset threshold for the number of electricity bill payments. Those skilled in the art can set the preset threshold for the number of electricity bill payments according to actual needs, which will not be elaborated here.
[0062] Preferably, when normalizing C2, D2 meets the following conditions:
[0063] C 2 0 is the first preset threshold for the rate of change in electricity bill payment corresponding to C2, C 2 s The second preset threshold for the rate of change in electricity payment corresponding to C2 is the average rate of change in electricity payment of the sample data. The second preset threshold for the rate of change in electricity payment corresponding to C2 is the standard deviation of the rate of change in electricity payment of the sample data.
[0064] Preferably, when normalizing C3, D3 meets the following conditions:
[0065] CA3 is the preset initial score corresponding to C3 and CA3∈[0,1], C 3 0 is the preset threshold for the number of rent payments. Those skilled in the art can set different thresholds for the number of rent payments according to actual needs, which will not be elaborated here.
[0066] Preferably, when normalizing C4, D4 meets the following conditions:
[0067] C 3 0 is the preset threshold for the number of rent payments. Those skilled in the art can set different thresholds for the number of rent payments according to actual needs, which will not be elaborated here.
[0068] Preferably, when normalizing C5, D5 meets the following conditions:
[0069] .
[0070] Preferably, when normalizing C6, D6 meets the following conditions:
[0071] .
[0072] As mentioned above, since non-target electricity consumption information has a weak influence on the evaluation of the target object's status, the same weight is set for each non-target electricity consumption data to reduce statistical complexity. Furthermore, when normalizing the non-target electricity consumption data, the corresponding normalization method is adopted according to different data characteristics. Finally, the degree of change is obtained by calculating the weighted sum, which comprehensively considers each indicator and makes the obtained degree of change more reasonable.
[0073] S400, based on the first current change degree and the second current change degree corresponding to the target server in the current time period and the previous time period respectively, the target state information corresponding to the target object is obtained.
[0074] S401, obtain the first historical change level and the second historical change level of the target server. The first historical change level of the target server is the first current change level of the target server in the previous time period, and the second historical change level of the target server is the second current change level of the target server in the previous time period. The method of obtaining the first historical change level of the target server is the same as the method of obtaining the first current change level of the target server, and the method of obtaining the second historical change level of the target server is the same as the method of obtaining the second current change level of the target server.
[0075] S402, calculate the current state stability and historical state stability of the target server based on the first current change level, the second current change level, the first historical change level, and the second historical change level of the target server.
[0076] Preferably, the current state stability of the target server is the sum of the first current change level of the target server and the second current change level of the target server.
[0077] Preferably, the stability of the historical state of the target server is the sum of the first historical change level and the second historical change level of the target server.
[0078] S403, based on the current stability of the target server and the historical stability of the target server, calculate the trend of change in the current stability of the target server.
[0079] In a specific embodiment, the trend of change in the current state stability of the target server is H0, where H0 meets the following condition: , of which F 1 0 represents the current stability level of the target server, F 2 0 represents the historical stability of the target server.
[0080] S404, Obtain the set of trends in the current state stability of critical servers, where the set of trends in the current state stability of critical servers is H = {H1, ..., H...} g H z}, H g It represents the current stability of the g-th critical server, where g ranges from 1 to z, and z is the number of critical servers. This can be further understood as: the critical server is any initial server in the initial server list other than the target server.
[0081] S405, based on the set of trends in the current state stability of the critical server and the trend in the current state stability of the target server, obtain the first trend in the stability of the target server and the second trend in the stability of the target server.
[0082] In a specific embodiment, the degree of change in the first state stability trend of the target server H 1 0, H 1 0 meets the following conditions:
[0083] .
[0084] In a specific embodiment, the degree of change in the second state stability trend of the target server H 2 0, H 2 0 meets the following conditions:
[0085] .
[0086] S406, take the current state stability trend of the target server, the first state stability trend of the target server, and the second state stability trend of the target server as target state information.
[0087] The above method uses the difference between the current stability of the target server and its historical stability as the independent variable, and employs the Tanh function to calculate the trend of change in the current stability of the target server. This makes the obtained trend of change in the current stability more reasonable. Furthermore, the trend of change in the current stability of each key server is introduced, and the average value and root mean square are calculated to obtain the trend of change in the stability of the target server in two dimensions. This can reflect the overall general situation of the stable operation of the target object and is conducive to the accurate assessment of the target object's target state level.
[0088] S500, determine the target status level corresponding to the target object based on the target status information corresponding to the target object.
[0089] In a specific embodiment, the target state level G corresponding to the target object meets the following condition:
[0090] .
[0091] As mentioned above, when calculating the target state level corresponding to the target object, the current state stability trend, the first state stability trend, and the second state stability trend of the target server are introduced. The subsequent target state level calculated based on the values of these three dimensions can accurately reflect the stability of the target object's operating state, which is conducive to taking relevant processing measures in a timely manner and effectively reducing losses.
[0092] Embodiments of the present invention also provide a non-transitory computer-readable storage medium, which can be disposed in an electronic device to store at least one instruction or at least one program related to implementing a method in the method embodiments, wherein the at least one instruction or the at least one program is loaded and executed by the processor to implement the target object state level determination method provided in the above embodiments.
[0093] Embodiments of the present invention also provide an electronic device, including a processor and the aforementioned non-transitory computer-readable storage medium.
[0094] While specific embodiments of the invention have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of the invention. It should also be understood that various modifications can be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims
1. A method for determining the state level of a target object, characterized in that, The method includes the following steps: S100, receive target power information and non-target power information for the current time period sent by the target server; the target server is any initial server in the initial server list, wherein the initial server is the server corresponding to the initial object; S200: Based on the target power information for the current time period, obtain the first current change level of the target server for the current time period; S300: Based on the non-target power consumption information of the current time period, obtain the second current change level of the target server corresponding to the current time period; S400, based on the first current change degree and the second current change degree corresponding to the target server in the current time period and the previous time period respectively, the target state information corresponding to the target object is obtained; the target object is the initial object corresponding to the target server. S500, determine the target status level corresponding to the target object based on the target status information corresponding to the target object.
2. The method for determining the state level of a target object according to claim 1, characterized in that, The target power consumption information includes several target power consumption data corresponding to the current time period; The non-target electricity consumption information includes several non-target electricity consumption data corresponding to the current time period.
3. The method for determining the state level of a target object according to claim 2, characterized in that, The S200 procedure also includes the following steps: S201, normalize the electricity consumption data of each target to obtain the intermediate electricity consumption information corresponding to the target electricity consumption information; S202, Based on the intermediate power consumption information, generate the first current change level of the target server.
4. The method for determining the state level of a target object according to claim 2, characterized in that, The S300 procedure also includes the following steps: S301, normalize each non-target electricity consumption data to obtain the non-intermediate electricity consumption information corresponding to the non-target electricity consumption information; S302, based on the non-intermediate power consumption information, obtain the second current change level of the target server.
5. The method for determining the state level of a target object according to claim 1, characterized in that, The S400 procedure also includes the following steps: S401, obtain the first historical change level and the second historical change level of the target server. The first historical change level of the target server is the first current change level of the target server in the previous time period, and the second historical change level of the target server is the second current change level of the target server in the previous time period. S402, calculate the current state stability and historical state stability of the target server based on the first current change degree of the target server, the second current change degree of the target server, the first historical change degree of the target server, and the second historical change degree of the target server. S403, Calculate the trend H0 of the current state stability of the target server based on the current state stability and the historical state stability of the target server; S404, Obtain the set of trends in the current state stability of critical servers, where the set of trends in the current state stability of critical servers is H = {H1, ..., H...} g H z }, H g It represents the current stability of the g-th critical server, where g ranges from 1 to z, and z is the number of critical servers; the critical server is any initial server in the initial server list other than the target server. S405, Based on the set of trends in the current state stability of the critical server and the trend in the current state stability of the target server, obtain the first trend in the stability of the target server and the second trend in the stability of the target server. S406, take the current state stability trend of the target server, the first state stability trend of the target server, and the second state stability trend of the target server as target state information.
6. The method for determining the state level of a target object according to claim 5, characterized in that, In step S403, the trend H0 of the current state stability of the target server meets the following conditions: , of which F 1 0 represents the current stability level of the target server, F 2 0 represents the historical stability of the target server.
7. The method for determining the state level of a target object according to claim 5, characterized in that, The target state level G corresponding to the target object meets the following conditions: , where H 1 0 represents the degree of stability and trend of the target server's first state; H represents... 2 0 represents the degree of change in the second state stability trend of the target server.
8. A non-transitory computer-readable storage medium, wherein the storage medium stores at least one instruction or at least one program segment, characterized in that, The at least one instruction or the at least one program segment is loaded and executed by the processor to implement the target object state level determination method as described in any one of claims 1-7.
9. An electronic device, characterized in that, Includes a processor and the non-transitory computer-readable storage medium as described in claim 8.