CN115733256A - Power consumer electricity safety online monitoring method and device - Google Patents
Power consumer electricity safety online monitoring method and device Download PDFInfo
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- CN115733256A CN115733256A CN202211597743.2A CN202211597743A CN115733256A CN 115733256 A CN115733256 A CN 115733256A CN 202211597743 A CN202211597743 A CN 202211597743A CN 115733256 A CN115733256 A CN 115733256A
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Abstract
The application discloses a power consumer electricity safety online monitoring method and a device, wherein the method comprises the following steps: collecting historical electricity utilization data of all users; establishing an analysis model of historical data and a reference threshold value, and screening overload power utilization data; comparing and analyzing the maximum value of the overload data, matching the time corresponding to the value according to the time correlation function, and determining a platform data width representation item; based on the overload data of the user, combining the type, the importance level and the classification of the electric energy metering device, and identifying the level of the potential safety hazard of the power utilization of the user; generating the electricity utilization early warning data of the user on the same day to form an electronic evidence based on the maximum value and the time of overload; and the data and the information of the potential safety hazard of the user are sent to safety electricity utilization inspectors, so that the site inspection and treatment work of the potential safety hazard of the user can be conveniently and timely carried out. According to the method and the device, accurate reminding and checking work of long-term overload power utilization of the user is rapidly carried out, and the problem of power utilization safety accidents of the user caused by cable insulation burnout and electric energy meter overheating is avoided.
Description
Technical Field
The present application relates to the technical field of user power utilization safety management, and in particular, to a power utilization safety online monitoring method and device for power consumers.
Background
With the great increase of the power demand, the situation of short supply and short demand of the electric energy appears. Under the condition of power shortage in the whole society, most enterprises and users can reasonably and legally use power, but some power users are driven by economic benefits, power utilization equipment is added blindly, and long-term overload and high-load power utilization causes high-temperature heating of line cables, intelligent electric energy meters, power utilization equipment and the like, and accidents such as insulation burning, electric energy meter burning, casualties and the like are easily caused. Therefore, it is very important how to accurately find the long-term overload user, implement accurate information notification and investigation, and prevent the equipment burnout and personal casualty accidents.
Disclosure of Invention
In order to solve the technical problem, the application provides an online monitoring method for power utilization safety of power consumers on one hand.
The technical scheme adopted by the application is as follows:
an electric power user electricity safety online monitoring method comprises the following steps:
collecting historical electricity utilization data of all users, including frozen current and active power;
establishing an analysis model of historical data and a reference threshold value, and screening overload historical data;
comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function, and determining a platform data width representation item;
identifying the level of the potential safety hazard of the power utilization of the user based on the overload data of the user by combining the type, the industry classification and the importance level of the overload data of the user;
and generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on a monitoring platform to form electronic evidence.
Further, the collecting historical electricity consumption data of all users specifically comprises the following steps:
aiming at the special transformer and the gateway users, the current and the active power of 96 freezing points of the special transformer and the gateway users are collected; and aiming at the public transformer users, acquiring the current and active power of 24 freezing points of the public transformer users.
Further, the establishing of the analysis model of the historical data and the reference threshold value to screen the overloaded historical data specifically includes the steps of:
selecting the user reported capacity and the maximum current limit of the electric energy meter as reference thresholds, and comparing and analyzing the active power and the current freezing value of the user power consumption with the reference thresholds;
if the active power value is larger than the reference threshold value, judging that the power value of the user is overloaded;
and if the current value of each phase is larger than the reference threshold value, judging that the current value of the user is overloaded.
Further, the method for identifying the potential safety hazard level of the power utilization of the user based on the overload data of the user by combining the type, the industry classification and the importance level of the overload data of the user specifically comprises the following steps:
respectively giving the electricity utilization potential safety hazard marks of I, II, III, IV and V grades to the user according to the overload value and the relevant conditions of the user, wherein:
the I-level electrical safety hidden danger user refers to a long-term overload special transformer user for installing the I-type metering device;
the II-level electrical safety hidden trouble user refers to a long-term overload special variable user for installing a II-type metering device;
the III-level electricity utilization potential safety hazard user refers to a long-term overload special variable user for installing a III-type metering device;
the IV-level electrical safety hidden danger user refers to a long-term overload public transformer user for installing the IV-type metering device;
the potential safety hazard user for V-level power utilization refers to a long-term overload public transformer user for installing a V-type metering device.
Further, based on overload maximum value and time, generating the electricity consumption early warning data of the user on the same day, displaying on a monitoring platform to form an electronic evidence, and specifically comprising the following steps:
and comparing the overload value of the user on the same day, judging that the user is abnormal if at least 4 points of overload exist, and selecting the maximum overload value and time to generate abnormal early warning data on a monitoring platform to form electronic evidence.
Further, the method also comprises the following steps after historical electricity utilization data of all users are collected:
and comparing the ring with each data value, cleaning the acquired data, checking the accuracy and the logic of the electricity utilization data, and removing invalid data including singular values.
Further, the method also comprises the following steps:
the potential safety hazards of the users are managed, and potential safety hazard data and information are sent to electricity utilization safety management personnel, so that on-site investigation and treatment work of the potential safety hazards of the users can be conveniently and timely carried out.
This application on the other hand still provides a power consumer safety with electricity on-line monitoring device, includes:
the historical data acquisition module is used for acquiring historical electricity utilization data of all users, including frozen current and active power;
the data analysis module is used for establishing an analysis model of historical data and a reference threshold value and screening overload historical data;
the time matching module is used for comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function and determining a platform data width representation item;
the user safety power utilization potential safety hazard grade evaluation module is used for identifying the grade of the user power utilization potential safety hazard based on the overload data of the user and by combining the type, the industry classification and the importance grade of the overload data;
and the abnormal user display module is used for generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on the monitoring platform to form the electronic evidence.
Further, still include:
and the data cleaning module is used for comparing all data values circularly, cleaning the acquired data, checking the accuracy and the logic of the power utilization data and removing invalid data including singular values.
Further, still include:
and the intelligent management module is used for managing the potential safety hazard of the user, sending the potential safety hazard data and information to the electricity utilization safety management personnel, and facilitating timely carrying out on-site investigation and treatment work of the potential safety hazard of the electricity utilization of the user.
The method comprises the steps of monitoring the electricity utilization safety of the power consumer on-line by the power consumer, and monitoring the electricity utilization safety of the power consumer on-line by the power consumer.
The method comprises the steps of monitoring the electricity utilization safety of the power consumer, and controlling the equipment where the storage medium is located to execute the steps of the online monitoring method when the program runs.
Compared with the prior art, the method has the following beneficial effects:
the application provides an electric power user electricity safety online monitoring method and device, and the method comprises the following steps: collecting historical electricity utilization data of all users, including frozen current and active power; establishing an analysis model of historical data and a reference threshold value, and screening overload historical data; comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function, and determining a platform data width representation item; identifying the level of the potential safety hazard of the power utilization of the user based on the overload data of the user by combining the type, the industry classification and the importance level of the overload data of the user; and generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on a monitoring platform to form electronic evidence.
Compared with the prior art, the application has the advantages that: the method determines the overload power utilization condition of the user by comparing the power utilization data such as active power, current and the like with the reference threshold value for the first time, accurately finds the user with long-term overload power utilization, and implements accurate information informing and checking to prevent equipment burnout and personal casualty accidents; according to the method, the user type, the importance level and the electric energy metering device classification are combined, the level of the potential safety hazard of the user electricity utilization is identified, and the accurate investigation and treatment work of the potential safety hazard of the user electricity utilization on site is carried out by the organization according to the degree of urgency; in addition, the power consumer electricity utilization safety online monitoring platform is developed and designed, the overload electricity utilization situation of the user can be analyzed, researched and displayed periodically, electronic evidence is sufficient and clear, and the initiative and the enthusiasm of site personnel investigation and evidence collection and the persuasive force and the deterrent force of the site investigation are improved.
In addition to the objects, features and advantages described above, other objects, features and advantages will be apparent from the present application. The present application will now be described in further detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic flow chart of an online monitoring method for power consumer power consumption safety according to a preferred embodiment of the present application.
Fig. 2 is a flow chart illustrating the sub-steps of step S1 according to the preferred embodiment of the present application.
Fig. 3 is a flow chart illustrating the sub-steps of step S2 according to the preferred embodiment of the present application.
Fig. 4 is a flow chart illustrating the sub-steps of step S4 according to the preferred embodiment of the present application.
Fig. 5 is a flow chart illustrating the sub-steps of step S5 according to the preferred embodiment of the present application.
Fig. 6 is a schematic flow chart of an online monitoring method for power consumer power consumption safety according to another preferred embodiment of the present application.
Fig. 7 is a schematic flow chart of an online monitoring method for power consumer power consumption safety according to another preferred embodiment of the present application.
Fig. 8 is a schematic diagram of an electricity safety online monitoring module for a power consumer according to a preferred embodiment of the present application.
Fig. 9 is a schematic diagram of an electricity safety online monitoring module for a power consumer according to another preferred embodiment of the present application.
Fig. 10 is a schematic diagram of an electricity safety online monitoring module for a power consumer according to another preferred embodiment of the present application.
Fig. 11 is a schematic block diagram of an electronic device entity of the preferred embodiment of the present application.
Fig. 12 is a schematic diagram of the internal structure of the computer device according to the preferred embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1, a preferred embodiment of the present application provides an online monitoring method for power consumer power utilization safety, including the steps of:
s1, collecting historical electricity utilization data of all users, wherein the historical electricity utilization data comprise frozen current and active power;
s2, establishing an analysis model of historical data and a reference threshold value, and screening the overload historical data;
s3, comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function, and determining a platform data width representation item;
s4, identifying the potential safety hazard level of the power utilization of the user based on the overload data of the user by combining the type, the industry classification and the importance level of the overload data of the user;
and S5, generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on a monitoring platform to form electronic evidence.
In the embodiment, the overload power utilization condition of the user is determined by comparing the power utilization data such as active power, current and the like with the reference threshold value for the first time, the user with long-term overload power utilization is accurately found, accurate information notification is implemented, and equipment burnout and personal casualty accidents are prevented from being caused; according to the method, the user type, the importance level and the electric energy metering device classification are combined, the level of the potential safety hazard of the power utilization of the user is identified, and the accurate checking and supervision of the power utilization field of the user are conducted by the organization of urgency and urgency; in addition, the power consumer power utilization safety online monitoring platform is developed and designed in the embodiment, the overload power utilization situation of the user can be analyzed, researched and displayed periodically, electronic evidence is sufficient and clear, and the initiative and the enthusiasm of site personnel investigation and evidence collection and the persuasive force and the deterrent force of the site investigation are improved.
Preferably, as shown in fig. 2, the collecting historical electricity consumption data of all users specifically includes the steps of:
s11, aiming at a special transformer and a gateway user, collecting the current and the active power of 96 freezing points of the special transformer and the gateway user; and aiming at the public transformer users, acquiring the current and active power of 24 freezing points of the public transformer users.
In the embodiment, the number of the data points collected by the special transformer user and the gateway user is different from that collected by the public transformer user, wherein the former is 96 points, and the latter is 24 points, so that the purpose and the advantage are that the electricity consumption data of the user every 15 minutes or 1 hour all day is considered, and the analysis and judgment are representative and comprehensive.
Preferably, as shown in fig. 3, the establishing an analysis model of historical data and a reference threshold, comparing the historical electricity consumption data with the reference threshold, and screening for an overload abnormality specifically includes the steps of:
s21, selecting the user installation capacity and the maximum current limit of the electric energy meter as reference thresholds, and comparing and analyzing the active power and the current freezing value of the user electricity consumption with the reference thresholds;
s22, if the active power value is larger than a reference threshold value, judging that the power value of the user is overloaded;
and S23, if the current value of each phase is larger than the reference threshold value, judging that the current value of the user is overloaded.
In the embodiment, the user installation reporting capacity and the maximum current limit of the electric energy meter are selected as the reference threshold, and if the active power value and the current values of all phases are compared with the corresponding reference thresholds, whether the point change is overloaded or not is judged.
Preferably, as shown in fig. 4, the identifying the user electricity utilization safety hazard level based on the user overload value and by combining the type, the importance level and the electric energy metering device classification specifically includes the steps of:
s41, respectively marking the electricity utilization potential safety hazards of the user as grades I, II, III, IV and V according to the overload value and relevant conditions of the user, wherein:
the I-level electrical safety hidden danger user refers to a long-term overload special transformer user for installing the I-type metering device;
the II-level electrical safety hidden trouble user refers to a long-term overload special variable user for installing a II-type metering device;
the level III electricity utilization potential safety hazard user refers to a long-term overload special transformer user for installing a class III metering device;
the IV-level electrical safety hidden danger user refers to a long-term overload public transformer user for installing the IV-type metering device;
the potential safety hazard user for V-level power utilization refers to a long-term overload public transformer user for installing a V-type metering device.
According to the method, the power utilization potential safety hazards of the users are respectively marked as I, II, III, IV and V grades according to the overload values of the users and by combining the types, importance grades and electric energy metering device classifications of the users, the method has the advantages that the potential safety hazard grades of the users are defined, and the field investigation and treatment work of the users is carried out according to the influence surface and the hazard of accident risks.
Preferably, as shown in fig. 5, the daily electricity consumption early warning data of the user is generated based on the maximum overload value and the time, and displayed on the monitoring platform to form the electronic evidence, which specifically includes the following steps:
s51, comparing the overload value of the user in the same day, judging that the user is abnormal if at least 4 points of overload exist, and selecting the maximum overload value and the time to generate abnormal early warning data on a monitoring platform to form electronic evidence.
In the embodiment, when at least 4 points are overloaded, the household power supply is judged to be abnormal, so that misjudgment is effectively avoided, and the accuracy of the judgment result is improved.
Preferably, as shown in fig. 6, after collecting the historical electricity consumption data of all users, the method further comprises the steps of:
s12, comparing the data values circularly, cleaning the acquired data, checking the accuracy and the logic of the power consumption data, and removing invalid data including singular values.
Preferably, as shown in fig. 7, the power consumer electricity safety online monitoring method further includes the steps of:
s6, potential safety hazards of the user are managed, potential safety hazard data and information are sent to electricity utilization safety management personnel, and investigation and treatment work of the electricity utilization potential safety hazards of the user on site can be conveniently and timely carried out.
As shown in fig. 8, another aspect of the present application further provides an online monitoring device for power consumer electrical safety, including:
the historical data acquisition module is used for acquiring historical electricity utilization data of all users, including frozen current and active power;
the data analysis module is used for establishing an analysis model of historical data and a reference threshold value and screening overload historical data;
the time matching module is used for comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function and determining a platform data width representation item;
the user safety power utilization potential safety hazard grade evaluation module is used for identifying the grade of the user power utilization potential safety hazard based on the overload data of the user and by combining the type, the industry classification and the importance grade of the overload data;
and the abnormal user display module is used for generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on the monitoring platform to form the electronic evidence.
Preferably, as shown in fig. 9, the power consumer electricity safety online monitoring device further includes:
and the data cleaning module is used for comparing all data values circularly, cleaning the acquired data, checking the accuracy and the logic of the power utilization data and removing invalid data including singular values.
Preferably, as shown in fig. 10, the power consumer electricity safety online monitoring device further includes:
and the intelligent management module is used for managing the potential safety hazard of the user, sending the potential safety hazard data and information to the electricity utilization safety management personnel, and facilitating timely carrying out on-site investigation and treatment work of the potential safety hazard of the electricity utilization of the user.
As shown in fig. 11, the preferred embodiment of the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the online monitoring method for power consumer electricity safety in the foregoing embodiments are implemented.
As shown in fig. 12, the preferred embodiment of the present application also provides a computer device, which may be a terminal or a biopsy server, and the internal structure thereof may be as shown in fig. 12. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with other external computer devices through network connection. The computer program is executed by a processor to realize the steps of the above-mentioned electric power user electricity safety online monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The preferred embodiment of the present application further provides a storage medium, where the storage medium includes a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the steps of the power consumer electricity safety online monitoring method in the foregoing embodiment.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
If the functions of the method of the present embodiment are implemented in the form of software functional units and sold or used as independent products, the functions may be stored in one or more storage media readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. An electric power user electricity safety online monitoring method is characterized by comprising the following steps:
collecting historical electricity consumption data of all users, including frozen current and active power;
establishing an analysis model of historical data and a reference threshold value, and screening overload historical data;
comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function, and determining a platform data width representation item;
identifying the level of the potential safety hazard of the power utilization of the user based on the overload data of the user by combining the type, the industry classification and the importance level of the overload data of the user;
and generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on a monitoring platform to form electronic evidence.
2. The power consumer electricity safety online monitoring method according to claim 1, wherein the collecting historical electricity data of all users specifically comprises the steps of:
aiming at a special transformer and a gateway user, collecting the current and the active power of 96 freezing points of the special transformer and the gateway user; and aiming at the public transformer user, acquiring the current and the active power of 24 freezing points of the public transformer user.
3. The power consumer electricity safety online monitoring method according to claim 1, wherein the establishing of the analysis model of the historical data and the reference threshold value for screening the overload historical data specifically comprises the steps of:
selecting the user reported capacity and the maximum current limit of the electric energy meter as reference thresholds, and comparing and analyzing the active power and the current freezing value of the user power consumption with the reference thresholds;
if the active power value is larger than the reference threshold value, judging that the power value of the user is overloaded;
and if the current value of each phase is larger than the reference threshold value, judging that the current value of the user is overloaded.
4. The power consumer electricity safety online monitoring method according to claim 1, wherein the user electricity safety hidden danger level is identified based on the user overload data in combination with the type, industry classification and importance level of the user overload data, and the method specifically comprises the following steps:
respectively marking the potential safety hazard of electricity utilization for the user as I, II, III, IV and V grades according to the overload value and relevant conditions of the user, wherein:
the I-level electrical safety hidden danger user refers to a long-term overload special transformer user for installing the I-type metering device;
the II-level electricity utilization potential safety hazard user refers to a long-term overload special variable user for installing a II-type metering device;
the III-level electricity utilization potential safety hazard user refers to a long-term overload special variable user for installing a III-type metering device;
the IV-level electrical safety hidden danger user refers to a long-term overload public transformer user for installing the IV-type metering device;
the potential safety hazard user for V-level power utilization refers to a long-term overload public transformer user for installing a V-type metering device.
5. The power consumer electricity safety online monitoring method according to claim 1, wherein the power consumer electricity safety online monitoring method is characterized in that the power consumer electricity warning data of the same day is generated based on the overload maximum value and the overload time and displayed on a monitoring platform to form an electronic evidence, and specifically comprises the following steps:
and comparing the overload value of the user on the same day, judging that the user is abnormal if at least 4 points of overload exist, and selecting the maximum overload value and time to generate abnormal early warning data on a monitoring platform to form electronic evidence.
6. The power consumer electricity safety online monitoring method according to claim 1, characterized by further comprising the following steps after collecting historical electricity utilization data of all users:
and comparing the data values circularly, cleaning the acquired data, checking the accuracy and the logicality of the power utilization data, and removing invalid data including singular values.
7. The power consumer electricity safety online monitoring method according to claim 1, further comprising the steps of:
the potential safety hazards of the users are managed, and potential safety hazard data and information are sent to electricity utilization safety management personnel, so that on-site investigation and treatment work of the potential safety hazards of the users can be conveniently and timely carried out.
8. The utility model provides a power consumer power consumption safety on-line monitoring device which characterized in that includes:
the historical data acquisition module is used for acquiring historical electricity utilization data of all users, including frozen current and active power;
the data analysis module is used for establishing an analysis model of historical data and a reference threshold value and screening overload historical data;
the time matching module is used for comparing and analyzing the maximum value of the overload data, matching corresponding time according to the time correlation function and determining a platform data width representation item;
the user safety power utilization potential safety hazard grade evaluation module is used for identifying the grade of the user power utilization potential safety hazard based on the overload data of the user and by combining the type, the industry classification and the importance grade of the overload data;
and the abnormal user display module is used for generating the electricity utilization early warning data of the user on the same day based on the overload maximum value and the overload maximum time, and displaying the electricity utilization early warning data on the monitoring platform to form the electronic evidence.
9. The online monitoring device for the electrical safety of the power consumers according to claim 8, further comprising:
and the data cleaning module is used for comparing all data values circularly, cleaning the acquired data, checking the accuracy and the logic of the power utilization data and removing invalid data including singular values.
10. The online monitoring device for the electrical safety of the power consumers according to claim 8, further comprising:
and the intelligent management module is used for managing the potential safety hazard of the user, sending the potential safety hazard data and information to the electricity utilization safety management personnel, and facilitating timely carrying out on-site investigation and treatment work of the potential safety hazard of the electricity utilization of the user.
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| CN202211597743.2A CN115733256A (en) | 2022-12-12 | 2022-12-12 | Power consumer electricity safety online monitoring method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117630482A (en) * | 2024-01-24 | 2024-03-01 | 北京京仪北方仪器仪表有限公司 | Safety electric energy meter |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117630482A (en) * | 2024-01-24 | 2024-03-01 | 北京京仪北方仪器仪表有限公司 | Safety electric energy meter |
| CN117630482B (en) * | 2024-01-24 | 2024-04-05 | 北京京仪北方仪器仪表有限公司 | Safety electric energy meter |
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