Method, system and device for determining a perception electrical equipment input threshold and storage medium

Abstract

Embodiments of the present application disclose a kind of perception electric equipment input threshold determination method, system, device and storage medium, its method includes obtaining simulation recording data;The same group, same type and the same number of the electric car in network of the electrical data to be input and the electrical data that has been input are carried out relationship operation, obtain operation result;Linear fitting is carried out to the operation result of same type in each group, and the electrical threshold of corresponding type is obtained.The simulation recording data is obtained by simulating the electric equipment.And then the difference characteristics of electric equipment input power grid and not input power grid are calculated using simulation recording data.Finally, the corresponding electrical threshold is obtained using the commonality of multiple difference characteristics.It helps to improve the fit between threshold and actual situation, to improve the accuracy of threshold.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment input recognition, and in particular to a power equipment input threshold determination method, system, device and storage medium. BACKGROUND

[0002] In the process of charging in the power grid, electric vehicles and other power equipment are prone to fire and explosion hazards due to non-standard operation or old battery problems. In order to identify the power equipment connected to the power grid and monitor the stability of the power equipment, the prior art usually uses an identification access signal, and then uses the access signal to calculate a stability value and compare it with a pre-set threshold to determine the stability of the power equipment and whether there is a probability of abnormality.

[0003] However, in the prior art, the threshold is usually estimated and set by employees with certain experience, which can have a large difference from the actual signal of the power equipment, resulting in a judgment result that does not match the actual situation, and affecting the accuracy of the abnormality judgment of the power equipment after being connected to the power grid. SUMMARY

[0004] Therefore, the present application provides a power equipment input threshold determination method, system, device and storage medium to solve the problem of poor threshold accuracy in the prior art. In order to achieve one or part or all of the above purposes or other purposes, the present application provides a power equipment input threshold determination method, system, device and storage medium. In a first aspect,

[0005] A power equipment input threshold determination method comprises:

[0006] Obtaining simulation recording data; the simulation recording data contains a plurality of groups of to-be-connected electrical data and connected electrical data; each group corresponds to different numbers of electric vehicle connections, and each group includes a plurality of types of to-be-connected electrical data and connected electrical data; each type of to-be-connected electrical data and connected electrical data contains different numbers of electric vehicle connections;

[0007] Performing a relationship operation on the to-be-connected electrical data and the connected electrical data of the same group, the same type and the same number of electric vehicle connections to obtain an operation result;

[0008] Linearly fitting the operation results of the same type in each group to obtain the electrical threshold of the corresponding type.

[0009] Preferably, the step of performing a relationship operation on the to-be-connected electrical data and the connected electrical data of the same group, the same type and the same number of electric vehicle connections to obtain an operation result comprises:

[0010] differences between the to-be-input electrical data and the already-input electrical data of the electric vehicles of the same type and the same number of times of network entry of the electric vehicles are obtained, to obtain corresponding operation sub-results;

[0011] The operation results of the same type in the same group are integrated to obtain the operation result of the corresponding type in the corresponding group.

[0012] Preferably, the step of linearly fitting the operation results of the same type in each group to obtain the electrical threshold value of the corresponding type comprises:

[0013] The linear fitting is performed on the operation results of the same type in all groups to obtain a fitting result;

[0014] The slope of a linear function is determined according to the fitting result, and the intercept of the linear function is updated to obtain two threshold straight lines;

[0015] When the fitting result in the two threshold straight lines meets a threshold condition, the range covered by the two threshold straight lines is determined as the electrical threshold value of the corresponding type.

[0016] Preferably, the types of the to-be-input electrical data and the already-input electrical data include at least three of active power, reactive power, power factor, and harmonic current effective value.

[0017] Preferably, the step of determining the slope of a linear function according to the fitting result, updating the intercept of the linear function, and obtaining two threshold straight lines comprises:

[0018] A first threshold straight line is obtained according to the fitting result; the first threshold straight line includes a first slope and a first intercept;

[0019] The first intercept of the first threshold straight line is changed to obtain a tentative threshold straight line; the tentative threshold straight line includes the first slope and a tentative intercept;

[0020] When the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than a preset percentage threshold of the fitting results, the tentative threshold straight line is determined as a second threshold straight line, and the tentative intercept is determined as a second intercept, to obtain the two threshold straight lines.

[0021] Preferably, the threshold condition is that the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than 90% of the fitting results.

[0022] Second aspect:

[0023] A perception power equipment investment threshold determination system comprises a recording module for obtaining simulation recording data; the simulation recording data comprises a plurality of groups of to-be-invested electrical data and already-invested electrical data; each group corresponds to different numbers of electric vehicle network entries, and each group comprises a plurality of types of to-be-invested electrical data and already-invested electrical data; each type of to-be-invested electrical data and already-invested electrical data comprises different numbers of electric vehicle network entries;

[0024] An operation module is configured to perform a relationship operation on the to-be-invested electrical data and the already-invested electrical data of the same group, the same type, and the same number of electric vehicle network entries, to obtain an operation result;

[0025] A fitting module is configured to perform linear fitting on the operation results of the same type in each group, to obtain the electrical threshold of the corresponding type.

[0026] Preferably, the operation module comprises an operation unit configured to perform a difference operation on the to-be-invested electrical data and the already-invested electrical data of the same number of electric vehicle network entries, the same type, and the same number of electric vehicle network entries, to obtain a corresponding operation sub-result;

[0027] An integration unit is configured to integrate the operation sub-results of the same type in the same group, to obtain the operation result of the corresponding type in the corresponding group.

[0028] Preferably, the fitting module comprises a fitting unit configured to perform the linear fitting on the operation results of the same type in all groups, to obtain a fitting result;

[0029] A function unit is configured to determine the slope of a linear function according to the fitting result, update the intercept of the linear function, and obtain two threshold straight lines;

[0030] A threshold unit is configured to determine the range covered by the two threshold straight lines as the electrical threshold of the corresponding type when the fitting result in the two threshold straight lines meets a threshold condition.

[0031] Preferably, the types of the to-be-invested electrical data and the already-invested electrical data comprise at least three of active power, reactive power, power factor, and harmonic current effective value.

[0032] Preferably, the function unit comprises a first straight line sub-unit configured to obtain a first threshold straight line according to the fitting result; the first threshold straight line comprises a first slope and a first intercept;

[0033] A tentative straight line sub-unit is configured to change the first intercept of the first threshold straight line, to obtain a tentative threshold straight line; the tentative threshold straight line comprises the first slope and a tentative intercept;

[0034] a function sub-unit, configured to determine the tentative threshold straight line as a second threshold straight line and the tentative intercept as a second intercept to obtain the two threshold straight lines when the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than a preset percentage threshold of the fitting results.

[0035] Preferably, the threshold condition is that the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than 90% of the fitting results.

[0036] A third aspect:

[0037] A perception power equipment input threshold determination device, comprising a memory and a processor, the memory stores a perception power equipment input threshold determination method, and the processor is configured to execute the perception power equipment input threshold determination method.

[0038] A fourth aspect:

[0039] A storage medium storing a computer program capable of being loaded by a processor and executing the above-mentioned method.

[0040] Implementing the embodiments of the present application will have the following beneficial effects:

[0041] By simulating the power equipment, simulation recording data is obtained. Then, the difference features of the power equipment input into the power grid and not input into the power grid are calculated by using the simulation recording data. Finally, the corresponding electrical threshold is obtained by using the commonality of multiple difference features. This is helpful to improve the fit between the threshold and the actual situation, and achieve the purpose of improving the accuracy of the threshold. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0043] Among them:

[0044] Figure 1 It is a whole flow chart of the perception power equipment input threshold determination method in an embodiment.

[0045] Figure 2 It is a harmonic current effective value scatter plot when the electric vehicle charges once in an embodiment.

[0046] Figure 3A scatter plot of the effective value of the three-time harmonic current when charging the electric vehicle in an embodiment.

[0047] Figure 4 A scatter plot of the effective value of the five-time harmonic current when charging the electric vehicle in an embodiment.

[0048] Figure 5 A schematic diagram of determining a threshold straight line in a method for determining a power consumption device input threshold in an embodiment.

[0049] Figure 6 A structural block diagram of a system for determining a power consumption device input threshold in an embodiment.

[0050] Figure 7 A structural schematic diagram of a device for determining a power consumption device input threshold in an embodiment. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0052] In the following description, "some embodiments" are described, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0053] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application, and are not intended to limit the present application.

[0054] The embodiments of the present application provide a safe power consumption perception method. In the prior art, the threshold for judging the stability of the power consumption device and whether there is a probability of abnormality is usually estimated and set by employees with certain experience, which is easy to have a large difference with the actual signal of the power consumption device, resulting in that the judgment result obtained according to the threshold does not match the actual situation, and affecting the accuracy of abnormality judgment after the power consumption device is put into the power grid.

[0055] In order to overcome the above problems, the embodiments of the present application provide a method for determining a power consumption device input threshold, as Figure 1 described, comprising:

[0056] 101, acquiring simulation recording data.

[0057] In an embodiment, the simulation recording data contains multiple groups of to-be-input electrical data and input electrical data; each group corresponds to different number of times of electric vehicle network access, and each group includes multiple types of the to-be-input electrical data and the input electrical data; each type of the to-be-input electrical data and the input electrical data contains different number of electric vehicle network access.

[0058] Specifically, the simulation recording data is obtained by using a preset simulation circuit. The simulation circuit includes an electric vehicle charger simulation circuit.

[0059] In an application scenario, different number of electric vehicle network access is set. For example, 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles are set to access the network. When performing simulation experiment, one-time network access charging is performed on 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles respectively to obtain corresponding simulation recording data. In the simulation recording data, to-be-input electrical data and input electrical data corresponding to 0 electric vehicle network access, to-be-input electrical data and input electrical data corresponding to 10 electric vehicle network access, and to-be-input electrical data and input electrical data corresponding to more electric vehicle network access are contained. The to-be-input electrical data and the input electrical data contain multiple types of electrical parameters, such as power type, current type and voltage type, which are not limited in this embodiment.

[0060] In an application scenario, when performing simulation experiment, multiple network access is used to obtain multiple groups of simulation experiment data. The simulation recording data is obtained by integrating the multiple groups of simulation experiment data. Specifically, the simulation recording data includes to-be-input electrical data and input electrical data corresponding to one-time electric vehicle charging, to-be-input electrical data and input electrical data corresponding to three-time electric vehicle charging, and to-be-input electrical data and input electrical data corresponding to five-time electric vehicle charging.

[0061] For ease of understanding, as Figure 2 described, when the determined type is harmonic current effective value, the harmonic current effective value scatter plot when the electric vehicle is charged once is obtained. As Figure 3 described, the harmonic current effective value scatter plot when the electric vehicle is charged three times. As Figure 4 described, the harmonic current effective value scatter plot when the electric vehicle is charged five times. In Figures 2 to 4 , there are data corresponding to 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles.

[0062] 102, relationship operation is performed on the to-be-input electrical data and the input electrical data of the same group, the same type and the same number of electric vehicle network access to obtain an operation result.

[0063] Here, "electrical data to be put into operation" refers to the electrical data of electric vehicles before they are connected to the grid for charging; "electrical data already put into operation" refers to the electrical data of electric vehicles after they are connected to the grid for charging. Performing a relational operation between the two yields the calculation result.

[0064] 103. Perform linear fitting on the operation results of the same type in each group to obtain the electrical threshold of the corresponding type.

[0065] In one embodiment, since the number of times each group enters the network is different, the calculation results of entering the network once and three times are fitted, the calculation results of entering the network three times and five times are fitted, and the calculation results of entering the network five times and seven times are fitted to finally determine the electrical threshold of the corresponding type.

[0066] Calculating various types of electrical thresholds through simulation helps improve the fit between the thresholds and actual conditions, thus increasing the accuracy of the thresholds.

[0067] In another embodiment of this application, the step of performing a relational operation on the electrical data to be deployed and the electrical data already deployed, which are in the same group, of the same type, and have the same number of electric vehicles connected to the network, to obtain the operation result includes:

[0068] 201. Subtract the data of electric vehicles to be put into service and the data of electric vehicles already put into service from the data of electric vehicles that have the same number of times they have entered the network and the same type and number of electric vehicles that have entered the network, and obtain the corresponding sub-result.

[0069] Specifically, Figures 2 to 4 The scatter points in the diagram represent the result obtained by subtracting the values.

[0070] 202. Integrate the sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

[0071] The calculation method obtains the result of the corresponding type in the corresponding group by subtraction. The calculation process is simple, which helps to save computing resources, improve computing efficiency, and reduce the probability of error.

[0072] In another embodiment of this application, the step of linearly fitting the calculation results of the same type in each group to obtain the electrical threshold of the corresponding type includes:

[0073] 301. Perform linear fitting on the same type of operation results in all groups to obtain the fitting result.

[0074] In one embodiment, the fitting result refers to Figures 2 to 4 Scattered points in the data.

[0075] Specifically, in one embodiment, there are four sets of charging cycles: one charge, three charges, five charges, and seven charges. The results from these four sets are linearly fitted with the calculation results for harmonic current RMS values ​​to obtain the fitting results. Similarly, the results from these four sets are linearly fitted with the calculation results for active power values ​​to obtain the corresponding fitting results. This embodiment does not specifically limit the specific types of charging cycles.

[0076] 302. Determine the slope of the linear function based on the fitting result, update the intercept of the linear function, and obtain two threshold lines.

[0077] like Figure 5 The slope k of the linear function y = kx + b is determined based on the fitting results, and the intercept b is updated to obtain two threshold lines, namely y1 = kx + b1 and y2 = kx + b2.

[0078] 303. When the fitting result of the two threshold lines meets the threshold condition, the range covered by the two threshold lines is determined as the electrical threshold of the corresponding type.

[0079] Using a linear function to determine the electrical threshold is convenient and quick, and helps to reduce the consumption of computing resources and improve computing efficiency.

[0080] In another embodiment of this application, the types of the electrical data to be input and the electrical data already input include at least three of the following: active power, reactive power, power factor, and effective value of harmonic current.

[0081] In another embodiment of this application, the step of determining the slope of the linear function based on the fitting result, updating the intercept of the linear function, and obtaining two threshold lines includes:

[0082] 501. Obtain the first threshold line based on the fitting results.

[0083] The first threshold line includes a first slope and a first intercept.

[0084] 502. Change the first intercept of the first threshold line to obtain the proposed threshold line.

[0085] The proposed threshold line includes the first slope and the proposed intercept.

[0086] 503. When the fitted result exceeds a preset percentage threshold in the band region formed by the first threshold line and the proposed threshold line, the proposed threshold line is determined as the second threshold line, and the proposed intercept is determined as the second intercept, so as to obtain two threshold lines.

[0087] In another embodiment of the present application, the threshold condition is that the fitting result is included in the strip region formed by the first threshold straight line and the proposed threshold straight line, and the strip region contains more than 90% of the fitting results.

[0088] The embodiment of the present application also provides a perception electric equipment input threshold determination system, which comprises Figure 6 The recording module 1 is configured to obtain simulation recording data, wherein the simulation recording data comprises a plurality of groups of to-be-input electrical data and input electrical data, each group corresponds to different electric vehicle network access times, and each group comprises a plurality of types of to-be-input electrical data and input electrical data, and each type of to-be-input electrical data and input electrical data comprises different electric vehicle network access quantities.

[0089] The operation module 2 is configured to perform relationship operation on the to-be-input electrical data and the input electrical data of the same type and the same electric vehicle network access quantity in the same group to obtain an operation result.

[0090] The fitting module 3 is configured to perform linear fitting on the operation results of the same type in each group to obtain the electrical threshold of the corresponding type.

[0091] Preferably, the operation module 2 comprises an operation unit configured to perform difference operation on the to-be-input electrical data and the input electrical data of the same type, the same electric vehicle network access times and the same electric vehicle network access quantity to obtain a corresponding operation sub-result.

[0092] The integration unit is configured to integrate the operation sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

[0093] Preferably, the fitting module 3 comprises a fitting unit configured to perform the linear fitting on the operation results of the same type in all groups to obtain a fitting result.

[0094] The function unit is configured to determine the slope of a linear function according to the fitting result, update the intercept of the linear function, and obtain two threshold straight lines.

[0095] The threshold unit is configured to determine the range covered by the two threshold straight lines as the electrical threshold of the corresponding type when the fitting result in the two threshold straight lines meets a threshold condition.

[0096] Preferably, the types of the to-be-input electrical data and the input electrical data comprise at least three of active power, reactive power, power factor and harmonic current effective value.

[0097] Preferably, the function unit comprises a first straight line sub-unit, configured to obtain a first threshold straight line according to the fitting result; the first threshold straight line comprises a first slope and a first intercept;

[0098] a tentative straight line sub-unit, configured to change the first intercept of the first threshold straight line to obtain a tentative threshold straight line; the tentative threshold straight line comprises the first slope and a tentative intercept;

[0099] a function sub-unit, configured to determine the tentative threshold straight line as a second threshold straight line and the tentative intercept as a second intercept to obtain two threshold straight lines when the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than a preset percentage threshold of the fitting result.

[0100] Preferably, the threshold condition is that the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than 90% of the fitting result.

[0101] It should be noted that the above description of the application applied to the sensing power equipment input threshold determination system embodiment is similar to the above method description, and has the same beneficial effects as the method embodiment. For technical details not disclosed in the sensing power equipment input threshold determination system embodiment of the application, those skilled in the art can refer to the description of the method embodiment of the application for understanding.

[0102] It should be noted that in the embodiments of the present application, if the above method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a magnetic disk or an optical disk, and various storage media that can store program codes. Therefore, the embodiments of the present application are not limited to any specific combination of hardware and software.

[0103] Correspondingly, the embodiments of the present application also disclose a storage medium, which stores a computer program capable of being loaded by a processor and executing the above method.

[0104] The embodiments of the present application also disclose a sensing power equipment input threshold determination device, such as Figure 7The device comprises a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400 and a memory 500. The communication bus 200 is configured to realize the connection and communication among the components. The user interface 300 can comprise a display screen, and the external communication interface 400 can comprise a standard wired interface and a wireless interface. The memory 500 stores the method for determining the threshold of the perception power consumption device. The processor 100 is configured to execute the method for determining the threshold of the perception power consumption device stored in the memory 500.

[0105] The above description of the perception power consumption device threshold determination device and the storage medium embodiments is similar to the description of the method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the perception power consumption device threshold determination device and the storage medium embodiments of the present application, please refer to the description of the method embodiments for understanding.

[0106] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of each process does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiment of the present application. The sequence number of the above-mentioned embodiments of the present application is only for description, not representing the advantages and disadvantages of the embodiments.

[0107] It should be noted that in this document, the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0108] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. The embodiments described above are merely exemplary, and are not intended to limit the application. For example, the division of the units is merely logical function division, and there can be other division manners in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the components shown or discussed can be indirect coupling or communication connection through some interfaces, devices, or units, and can be electrical, mechanical, or in other forms.

[0109] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units; they can be located in one place or distributed on a plurality of network units; and some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0110] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; and the integrated unit can be implemented in the form of hardware or hardware plus software functional units.

[0111] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the aforementioned program can be stored in a computer readable storage medium, and the program executes the steps of the above-mentioned method embodiments when executed; and the aforementioned storage medium includes mobile storage devices, ROM, magnetic discs or optical discs, and various storage medium that can store program codes.

[0112] Alternatively, the integrated units of the present application, if implemented in the form of software functional modules and sold or used as independent products, can also be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products, and the computer software products are stored in a storage medium, and include a plurality of instructions for causing an apparatus to execute all or part of the methods described in the embodiments of the present application. The aforementioned storage medium includes mobile storage devices, ROM, magnetic discs or optical discs, and various storage medium that can store program codes.

[0113] The above only describes the preferred embodiments of the present application, and of course cannot limit the scope of the present application, so equivalent changes made according to the claims of the present application are still within the scope of the present application.

Claims

1. A method for determining the threshold for activating sensing electrical equipment, characterized in that, The method comprises: obtaining simulation recording data; the simulation recording data contains multiple groups of to-be-input electrical data and input electrical data; each group corresponds to different numbers of electric vehicle network access, and each group includes multiple types of to-be-input electrical data and input electrical data; each type of to-be-input electrical data and input electrical data contains different numbers of electric vehicle network access; performing relational operation on the to-be-input electrical data and the input electrical data of the same group, the same type and the same number of electric vehicle network access to obtain an operation result; performing linear fitting on the operation results of the same type in each group to obtain an electrical threshold of the corresponding type; wherein the step of performing relational operation on the to-be-input electrical data and the input electrical data of the same group, the same type and the same number of electric vehicle network access to obtain an operation result comprises: performing difference operation on the to-be-input electrical data and the input electrical data of the same type, the same number of electric vehicle network access and the same type to obtain a corresponding operation sub-result; integrating the operation sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

2. The method of claim 1, wherein, The step of performing linear fitting on the operation results of the same type in each group to obtain the electrical threshold of the corresponding type comprises: performing linear fitting on the operation results of the same type in all groups to obtain a fitting result; determining the slope of a linear function according to the fitting result, updating the intercept of the linear function to obtain two threshold straight lines; when the fitting result in the two threshold straight lines meets a threshold condition, determining the range covered by the two threshold straight lines as the electrical threshold of the corresponding type.

3. The method of claim 2, wherein, The types of the to-be-input electrical data and the input electrical data include at least three of active power, reactive power, power factor and harmonic current effective value.

4. The method of claim 2, wherein, The step of determining the slope of a linear function according to the fitting result, updating the intercept of the linear function to obtain two threshold straight lines comprises: obtaining a first threshold straight line according to the fitting result; the first threshold straight line includes a first slope and a first intercept; changing the first intercept of the first threshold straight line to obtain a tentative threshold straight line; the tentative threshold straight line includes the first slope and a tentative intercept; when the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than a preset percentage threshold of the fitting results, determining the tentative threshold straight line as a second threshold straight line, and determining the tentative intercept as a second intercept to obtain two threshold straight lines.

5. The method of claim 4, wherein, The threshold condition is that the band-shaped region formed by the first threshold straight line and the tentative threshold straight line contains more than 90% of the fitting results.

6. A system for determining the threshold for activating electrical equipment, characterized in that, The simulation recording module is configured to obtain simulation recording data, wherein the simulation recording data comprises a plurality of groups of to-be-input electrical data and input electrical data, each group corresponds to different numbers of electric vehicle network access, and each group comprises a plurality of types of to-be-input electrical data and input electrical data, and each type of to-be-input electrical data and input electrical data comprises different numbers of electric vehicle network access; The operation module is configured to perform relationship operation on the to-be-input electrical data and input electrical data of the same group, the same type and the same number of electric vehicle network access to obtain operation results, and specifically configured to perform difference operation on the to-be-input electrical data and input electrical data of the same number of electric vehicle network access, the same type and the same number of electric vehicle network access to obtain corresponding operation sub-results, and integrate the operation sub-results of the same type in the same group to obtain the operation results of the corresponding type in the corresponding group; The fitting module is configured to perform linear fitting on the operation results of the same type in each group to obtain electrical threshold values of the corresponding types.

7. An apparatus for determining a perception electrical device engagement threshold, comprising a memory and a processor, wherein, The memory stores a power consumption device input threshold value determination method, and the processor is configured to execute the power consumption device input threshold value determination method.

8. A storage medium, characterized by The memory stores a computer program capable of being loaded and executed by the processor to execute the method of any one of claims 1-5.

Images