A power distribution station operation and maintenance monitoring method, device, equipment and medium

Abstract

The application relates to the field of data analysis, in particular to a power distribution station operation and maintenance monitoring method and device, equipment and medium. The method comprises the following steps: acquiring a plurality of power distribution station house identifiers, a plurality of environment data corresponding to the plurality of power distribution station house identifiers respectively, and a plurality of associated power data corresponding to the environment data; for each power distribution station house identifier, judging whether the environment data is located within a preset standard environment data range; if the environment data is not located within the preset standard environment data range, acquiring a plurality of first weight values corresponding to the plurality of associated power data respectively, and determining an operation and maintenance coefficient corresponding to the power distribution station house identifier based on the power distribution station house identifier, the plurality of associated power data and the first weight values corresponding to the plurality of associated power data respectively; and sending all the power distribution station house identifiers and the operation and maintenance coefficients corresponding to the power distribution station house identifiers to a display terminal to remind the operation of the power distribution station house. The application has the effect of improving the efficiency of determining the operation and maintenance coefficient of the power distribution station house.

Description

Technical Field

[0001] This application relates to the field of data analysis technology, and in particular to a method, device, equipment and medium for operation and maintenance monitoring of a power distribution station. Background Technology

[0002] With the increasing demand for electricity, the power system is also rapidly advancing and developing. Substations are a crucial component of this system, and their normal operation not only affects the smooth operation of power transmission and distribution but also ensures electricity safety. Therefore, strengthening the operation and maintenance management of substations to guarantee their normal operation is of paramount importance.

[0003] The relevant technology monitors and acquires all relevant data within each substation, such as temperature data, humidity data, and power data for each electrical device. It then compares all of these data with their respective abnormal data ranges. If any data falls within the corresponding abnormal data range, the operation and maintenance coefficient of the substation is determined to be the maximum value. However, when dealing with multiple substations, determining the operation and maintenance coefficients for all of them requires a significant amount of time to analyze all the data individually. Therefore, the efficiency of the relevant technology in determining the operation and maintenance coefficients of substations is relatively low. Summary of the Invention

[0004] To improve the efficiency of determining the operation and maintenance coefficient of a substation, this application provides a method, device, equipment, and medium for monitoring the operation and maintenance of a substation.

[0005] Firstly, this application provides a method for monitoring and maintaining a power distribution station, employing the following technical solution:

[0006] A method for operation and maintenance monitoring of a power distribution station includes:

[0007] Acquire multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data;

[0008] For each substation identification, determine whether the environmental data is within the preset standard environmental data range;

[0009] If the environmental data is not within the range of the preset standard environmental data, then the first weight value corresponding to each of the multiple associated power data is obtained, and the operation and maintenance coefficient corresponding to the substation identification is determined based on the substation identification, the multiple associated power data and their respective first weight values.

[0010] All the substation identification numbers and their corresponding operation and maintenance coefficients are sent to the display terminal to provide reminders about the operation status of the substations.

[0011] In a preferred embodiment, this application can be further configured such that determining the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the plurality of associated power data and their respective first weight values ​​includes: obtaining the location information corresponding to the substation identification, and determining the second weight value of the substation identification based on the location information;

[0012] For each associated power data, based on the associated power data and the corresponding preset standard associated power data, correction coefficient information for the first weight value of the associated power data is determined. The correction coefficient information includes:

[0013] There is a correction factor and a corresponding preset correction factor value; or, there is no correction factor.

[0014] Based on the second weight value of the substation identification and the first weight value and correction coefficient information corresponding to the multiple associated power data, the operation and maintenance coefficient corresponding to the substation identification is determined. In a preferred embodiment, this application can be further configured such that determining the second weight value of the substation identification based on the location information includes:

[0015] Acquire several public building identifiers within a first preset distance range of the location information;

[0016] Based on the key fields corresponding to all the public building identifiers and the preset public building categories, determine the target public building category corresponding to each of the public building identifiers and the number of public building identifiers corresponding to each target public building category;

[0017] Obtain first-time information and determine the importance level of each category to which all the target public buildings belong based on the first-time information;

[0018] Based on the importance level and the quantity information, a second weight value for the substation identification is determined.

[0019] In a preferred embodiment, this application can be further configured such that obtaining the first weight value corresponding to each of the plurality of associated power data includes:

[0020] Acquire multiple historical data, including historical environmental data and multiple historical related power data;

[0021] For each historical environmental data point, calculate the change difference of the category to which each of the historical associated power data points belongs, wherein the category to which the historical associated power data points belong is determined based on the historical associated power data points;

[0022] Based on the change difference corresponding to each category of the historical associated power data, the statistical change difference is determined;

[0023] Based on the statistical change difference corresponding to the respective categories of all the historical associated power data, the first weight value corresponding to the multiple associated power data is determined.

[0024] In a preferred embodiment, this application can be further configured such that the method further includes:

[0025] Real-time acquisition of facial images within a second preset distance range, where the second preset distance range is a circular range with the power distribution station as the center and the second preset distance as the radius;

[0026] The face image is identified based on a preset face database to determine whether the face image is an unfamiliar face image; if the face image is an unfamiliar face image, second time information is obtained, and it is determined whether the second time information is within a preset prohibited access period.

[0027] If the second time information falls within the preset prohibited access period, an unauthorized intrusion alert signal is generated;

[0028] If the second time information is not within the preset prohibited access period, a stranger access reminder signal is generated;

[0029] Send an alert signal to remind administrators, the alert signal being either an unauthorized intrusion alert signal or a stranger access alert signal.

[0030] Secondly, this application provides a substation operation and maintenance monitoring device, which adopts the following technical solution:

[0031] A substation operation and maintenance monitoring device, comprising:

[0032] The acquisition module is used to acquire multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data;

[0033] The judgment module is used to determine whether the environmental data is within the preset standard environmental data range for each substation identification; if the environmental data is not within the preset standard environmental data range, the operation and maintenance coefficient determination module is triggered.

[0034] The operation and maintenance coefficient determination module is used to obtain the first weight value corresponding to each of the multiple associated power data, and determine the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data and their respective first weight values.

[0035] The sending module is used to send all the substation identifications and their corresponding operation and maintenance coefficients to the display terminal to provide reminders about the operation status of the substations.

[0036] In a preferred embodiment, this application can be further configured such that, when the operation and maintenance coefficient determination module performs the operation and maintenance coefficient determination based on the substation identifier, the plurality of associated power data, and their respective corresponding first weight values, it is used to:

[0037] Obtain the location information corresponding to the substation identification, and determine the second weight value of the substation identification based on the location information;

[0038] For each associated power data, based on the associated power data and the corresponding preset standard associated power data, correction coefficient information for the first weight value of the associated power data is determined. The correction coefficient information includes:

[0039] There is a correction factor and a corresponding preset correction factor value; or, there is no correction factor.

[0040] Based on the second weight value of the substation identification and the first weight value and correction coefficient information of the first weight value corresponding to each of the multiple associated power data, the operation and maintenance coefficient corresponding to the substation identification is determined.

[0041] In a preferred embodiment, this application can be further configured such that, when the operation and maintenance coefficient determination module performs the second weight value determination of the substation identifier based on the location information, it is used to:

[0042] Acquire several public building identifiers within a first preset distance range of the location information;

[0043] Based on the key fields corresponding to all the public building identifiers and the preset public building categories, determine the target public building category corresponding to each of the public building identifiers and the number of public building identifiers corresponding to each target public building category;

[0044] Obtain first-time information and determine the importance level of each category to which all the target public buildings belong based on the first-time information;

[0045] Based on the importance level and the quantity information, a second weight value for the substation identification is determined.

[0046] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0047] At least one processor;

[0048] Memory;

[0049] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the substation operation and maintenance monitoring method as described in any of the first aspects.

[0050] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0051] A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the substation operation and maintenance monitoring method as described in any of the first aspects.

[0052] In summary, this application includes the following beneficial technical effects:

[0053] This method acquires multiple substation identifications, their corresponding environmental data, and multiple associated power data. Changes in the environmental data lead to changes in the power data; acquiring the associated power data effectively reduces the calculation of other irrelevant power data, thus improving efficiency. Therefore, it determines whether the environmental data falls within a preset standard environmental data range. If not, it acquires the first weight value corresponding to each of the associated power data for targeted calculation. Then, it determines the operation and maintenance coefficient based on the substation identification, the associated power data, and their respective weight values, and sends the coefficient to the display terminal, effectively improving computational efficiency. Compared to related technologies that determine the operation and maintenance coefficient by judging all data, this application determines the coefficient based on environmental data and the associated power data, achieving improved computational efficiency and solving the problem of low determination efficiency in related technologies. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of an interactive scenario for operation and maintenance monitoring of a power distribution station, provided as an embodiment of this application.

[0055] Figure 2 This is a flowchart illustrating a substation operation and maintenance monitoring method provided in an embodiment of this application.

[0056] Figure 3 This is a schematic diagram of the structure of a power distribution station operation and maintenance monitoring device provided in an embodiment of this application.

[0057] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0058] The following is in conjunction with the appendix Figure 1 To be continued Figure 4This application will be described in further detail.

[0059] This specific embodiment is merely an explanation of this application and is not intended to limit it. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of this application.

[0060] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application are described clearly and completely. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0061] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0062] like Figure 1 The diagram shown is an interactive schematic of a power distribution station operation and maintenance monitoring scenario provided in an embodiment of this application. The environmental data acquisition device collects environmental data and corresponding associated power data in real time and transmits them to the electronic device. The electronic device judges the environmental data. When the environmental data is not within the preset standard environmental data range, it obtains the first weight value of multiple associated power data and determines the operation and maintenance coefficient.

[0063] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0064] This application provides a method for monitoring and maintaining a power distribution station, executed by an electronic device. This electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application does not impose any limitations on this. Figure 2 As shown, the method includes steps S101, S102, S103, and S104, wherein:

[0065] Step S101: Obtain multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data.

[0066] Specifically, upon receiving a monitoring request, the system can acquire the substation's identification, environmental data, and multiple related power data. The electronic device has a pre-integrated monitoring program that monitors the triggering of monitoring requests. Once a monitoring request is detected, the system acquires the substation's identification, environmental data, and multiple related power data. Specifically, when maintenance personnel determine that they want to monitor the substation, a monitoring request is automatically generated. Confirmation methods can include clicking a monitoring button on the application or confirming the monitoring via voice. Once the electronic device detects that the monitoring request has been triggered, it acquires the substation's identification, environmental data, and multiple related power data.

[0067] The substation identification can be a manually assigned number, or it can be pre-stored in an electronic device by relevant technical personnel. Environmental data includes temperature or humidity data, obtained by corresponding sensors detecting and uploading it to the electronic device. Associated power data refers to power data with a high probability of change when environmental data changes. In this embodiment, associated power data includes at least: the current, voltage, power, power factor, and energy of the power system. It is understood that in this embodiment, changes in temperature or humidity within the substation will indirectly affect the power data (i.e., associated power data). For example, when the temperature inside the substation rises, it may lead to increased wire resistance and a decrease in voltage, as well as a decrease in the power of the power system. Therefore, when the environmental data is temperature data, the corresponding associated power data includes at least: the voltage and power of the power system. It is understood that obtaining associated power data corresponding to environmental data, compared to directly analyzing all power data, can effectively reduce computational load and improve analysis efficiency by analyzing representative associated power data. The associated power data is monitored by corresponding sensors and uploaded to the electronic device; this embodiment does not limit the specific sensors.

[0068] Step S102: For each substation building identifier, determine whether the environmental data is within the preset standard environmental data range.

[0069] Specifically, the preset standard environmental data range can be set by relevant technical personnel based on their work experience and input into the electronic equipment. It can be understood that the environmental data corresponding to the preset standard environmental data range is between the normal data range and the abnormal data range. That is, when the environmental data is within the preset standard environmental data range, it indicates that the corresponding environmental data has a high probability of being abnormal, but is not in an abnormal state. When it is determined that the environmental data is within the preset standard environmental data range, it indicates that the environmental data has a probability of being abnormal, which may affect the corresponding associated power data and cause the associated power data to be abnormal. At this time, in order to ensure the normal operation of power supply, it is necessary to manage the substation in a timely manner, that is, to execute step S103, determine the operation and maintenance coefficient of the substation identification, and carry out maintenance management in a timely manner; otherwise, continue to acquire environmental data and the corresponding multiple associated power data.

[0070] Step S103: If the environmental data is not within the preset standard environmental data range, obtain the first weight value corresponding to each of the multiple associated power data, and determine the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data and their respective first weight values.

[0071] Specifically, different associated power data have different impacts on substations, thus requiring the acquisition of a first weight value. The specific implementation of acquiring the first weight value corresponding to each of multiple associated data can be found in the following embodiments. It is understood that by defining a first weight value for each associated power data, targeted calculations can be performed, highlighting associated power data with a greater impact, thereby obtaining a more accurate operation and maintenance coefficient. The operation and maintenance coefficient can be determined based on multiple associated power data, their respective first weight values, and the substation identification, as described in the following embodiments. The operation and maintenance coefficient can be in fractional or percentage form. The operation and maintenance coefficient characterizes the degree to which the substation corresponding to the substation identification requires maintenance and management. This application embodiment does not limit this; as the operation and maintenance coefficient increases, the probability of anomalies occurring in the substation corresponding to the substation identification increases, requiring timely maintenance by operation and maintenance personnel.

[0072] Step S104: Send all substation identification numbers and their corresponding operation and maintenance coefficients to the display terminal to provide reminders about the operation status of the substations.

[0073] Specifically, electronic devices can transmit data wirelessly. Furthermore, once maintenance personnel receive all the substation identification numbers and their corresponding maintenance coefficients, they can perform maintenance management based on the maintenance management plan and the maintenance coefficients corresponding to each substation identification number. That is, idle time periods are determined according to the maintenance management plan, and the maintenance management time periods for the corresponding substation identification numbers are determined sequentially according to the maintenance coefficients from high to low, so as to perform timely maintenance management of the substations.

[0074] In this embodiment, multiple substation identifications, corresponding environmental data, and associated power data are obtained. When the environmental data changes, the power data changes. Obtaining the associated power data corresponding to the environmental data can effectively reduce the calculation of other irrelevant power data, thereby improving the determination efficiency. Therefore, it is determined whether the environmental data is within the preset standard environmental data range. If so, the first weight value corresponding to each of the multiple associated power data is obtained for targeted calculation. Then, the operation and maintenance coefficient is determined based on the substation identification, the multiple associated power data, and their corresponding weight values, and the operation and maintenance coefficient is sent to the display terminal, thereby effectively improving the calculation efficiency. Compared with related technologies that determine the operation and maintenance coefficient by judging all data, this application determines the operation and maintenance coefficient based on the changed data, i.e., the environmental data, and the associated power data corresponding to the environmental data, thereby achieving the goal of improving the calculation efficiency and solving the problem of low determination efficiency in related technologies.

[0075] In one possible implementation of this application embodiment, step S104 determines the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, multiple associated power data, and their respective corresponding first weight values. Specifically, this may include:

[0076] Obtain the location information corresponding to the substation room identifier, and determine the second weight value of the substation room identifier based on the location information;

[0077] For each associated power data, based on the associated power data and the preset standard associated power data corresponding to the associated power data, the correction coefficient information of the first weight value corresponding to the associated power data is determined. The correction coefficient information includes: the existence of a correction coefficient and the corresponding preset correction coefficient value, or the absence of a correction coefficient.

[0078] Based on the second weight value of the substation identification, the first weight value of each of the multiple associated power data, and the correction coefficient information of the first weight value, the operation and maintenance coefficient corresponding to the substation identification is determined.

[0079] Specifically, the location information can be obtained from a preset location information database. This database is pre-entered and stored in electronic devices by technicians and includes multiple substation identifications and their corresponding location information. The location information can be latitude and longitude, or location name (e.g., Ping'an Street, Xiyangling Village, Gaocheng District, Shijiazhuang City). The specific implementation method for determining the second weight value of the substation identification based on the location information can be found in the following embodiment. It is understood that different substations are surrounded by different buildings, such as schools, hospitals, shopping malls, or factories. When a substation experiences an anomaly, the impact varies depending on the surrounding buildings, resulting in different second weight values. Therefore, determining the second weight value of the substation identification based on location information can effectively improve the accuracy of this determination.

[0080] The preset standard associated power data is set by technicians based on practical work experience and input into electronic devices. In this embodiment, the preset standard associated power data is the corresponding numerical range, and the preset standard associated power data is the numerical range corresponding to an abnormal state. For each associated power data, it is determined whether the associated power data is within the data range corresponding to the preset standard associated power data. If so, the correction coefficient information is determined to have a correction coefficient. In this embodiment, the corresponding preset correction coefficient value is preferably 0.1; otherwise, the correction coefficient information is determined to not have a correction coefficient. It is understood that when the associated power data is within the data range corresponding to an abnormal state, it will increase the difficulty of maintenance and management of the substation, and thus the corresponding first weight value will increase accordingly. For each associated power data, if the correction coefficient information exists, the operation and maintenance coefficient is determined based on the second weight value of the substation identifier and the corrected first weight value corresponding to each of the multiple associated power data; if the correction coefficient information does not exist, the operation and maintenance coefficient is determined based on the second weight value of the substation identifier and the first weight value corresponding to each of the multiple associated power data. Specifically, the feasible method for determining the operation and maintenance coefficient may include: calculating a first average weight value corresponding to multiple first weight values, and then calculating a second average weight value of the first weight value and the second weight value. The first weight value includes: a corrected first weight value and a first weight value without a correction coefficient. Then, the target operation and maintenance coefficient is determined according to the correspondence between the second average weight value and the operation and maintenance coefficient, that is, the operation and maintenance coefficient corresponding to the substation identification. The correspondence is determined by technical personnel based on their work experience and pre-input into the electronic equipment.

[0081] In this embodiment, the importance of substations in different locations varies. Therefore, location information is obtained, and a second weight value for the substation identifier is determined based on the location information. When the associated power data is in an abnormal state, the impact on the substation is greater. Therefore, it is necessary to determine the correction coefficient information of the first weight value based on the associated power data and the corresponding preset standard power data to effectively improve the accuracy of the first weight value of the associated power data. Then, the operation and maintenance coefficient is determined based on the second weight value of the substation identifier, the first weight values ​​corresponding to multiple associated power data, and the correction coefficient of the first weight value, so as to achieve the accuracy of the operation and maintenance coefficient determination from both the perspective of the substation and the associated power data.

[0082] One possible implementation of this application embodiment, step S103, which determines the second weight value of the substation identification based on location information, may specifically include:

[0083] Several public building signs within a first preset distance range for obtaining location information;

[0084] Based on all public building identifiers and the key fields corresponding to the preset public building categories, determine the target public building category corresponding to each public building identifier and the number of public building identifiers corresponding to each target public building category;

[0085] Obtain first-hand information and determine the importance level of each category of all target public buildings based on the first-hand information; determine the second weight value of the substation identification based on the importance level and quantity information.

[0086] Specifically, the first preset distance range is the area corresponding to a circle with the substation sign as the center and the first preset distance as the radius. Public building signs can be obtained in real time via an electronic map. The public building sign can be the name of the public building. The preset keywords corresponding to each public building category are: for example, if the public building category is hospital, then the corresponding keyword is hospital. By matching the public building sign with the keywords corresponding to the public building category, the target public building category corresponding to each public building sign can be determined, and the corresponding quantity information can be determined.

[0087] First-time information can be obtained through an electronic clock. It's understandable that anomalies in a power distribution station at different times can cause varying degrees of impact on people's lives for public buildings of different categories. For example, between 10:00 and 11:00 AM, if a power distribution station malfunctions and causes a power outage for maintenance, the impact on schools is greater than on shopping malls. That is, when the target public building belongs to the school category, the corresponding importance level is level one; when the target public building belongs to the shopping mall category, the corresponding importance level is level two. Furthermore, based on the number of public building identifiers corresponding to each target public building category, they are arranged in descending order. The category corresponding to the largest number of identifiers is selected, and a second weight value is determined according to the importance level corresponding to the category corresponding to the largest number of identifiers. In other words, the second weight value is determined based on the correspondence between importance level and weight value. This correspondence between importance level and weight value is set by technical personnel based on their work experience and pre-stored in the electronic equipment. It is understandable that selecting the importance level corresponding to the category of the target public building with the largest number to determine the second weight value is more representative, and thus a more accurate second weight value can be determined based on the category of the representative public building.

[0088] In this embodiment of the application, several public building identifiers within a first preset distance range are obtained, and the category to which each target public building belongs and the quantity information corresponding to each target public building category are determined. Since the anomalies generated by the power distribution room at different times have different degrees of impact on the category to which the same target public building belongs, a second weight value of the power distribution room identifier is determined based on the importance level and quantity information, so as to effectively improve the accuracy of the determination of the second weight value.

[0089] One possible implementation of this application embodiment includes step S103, which obtains the first weight value corresponding to each of the multiple associated power data, specifically including:

[0090] Acquire multiple historical data, including historical environmental data that is not within the preset standard environmental data range and multiple historical related power data;

[0091] For each historical environmental data point, calculate the change difference in the category to which each historical associated power data point belongs. The category to which the historical associated power data point belongs is determined based on the historical associated power data.

[0092] The statistical change difference is determined based on the change difference corresponding to the respective categories of historical related power data.

[0093] Based on the statistical change difference corresponding to the category to which all historical related power data belong, the first weight value corresponding to each of the multiple related power data is determined.

[0094] Multiple historical data points can be retrieved from a preset historical database, which can be pre-entered into electronic devices by technicians and is updated in real time. It is understood that each historical environmental data point corresponds to multiple related historical power data points.

[0095] When the historical environmental data are A, B, and C, and the historical associated power data belongs to the current data category, the corresponding historical associated current data are I1, I2, I3, and I4, respectively. The difference in variation is: ΔI A =I4-I1; When the historical environmental data is B, the corresponding historical associated current data are I5, I6, I7, and I8, and the difference in change is: ΔI B =I8-I5; When the historical environmental data is C, the corresponding historical associated current data are I9 and I... 10 I 11 I 12 The difference in change is: ΔI C =I 12 -I9; When the historical associated power data belongs to the category of voltage data, the historical associated voltage data corresponding to A are V1, V2, V3, and V4, and the difference in change is: ΔV A =V4-V1; When the historical environmental data is B, the corresponding historical associated current data are V5, V6, V7, and V8, and the difference in change is: ΔV B =V8-V5; When the historical environmental data is C, the corresponding historical associated current data are V9 and V... 10 V 11 V 12 The difference in change is: ΔV C =V 12 -V9. This application does not limit the specific implementation method of determining the category of historically related power data based on historically related power data.

[0096] The statistical change difference can be the average value or the most frequently occurring change difference. In this embodiment, it is preferable to use the average value, as using the average value as the statistical change difference can more accurately describe the overall change trend of the historical associated power data corresponding to each category of historical associated power data. When the category of historical associated power data is historical associated current data, the change difference corresponding to the above content is ΔI. A ΔI B and ΔI C The corresponding statistical change difference is: Where I represents the statistical change difference, and n1 represents the number of change differences corresponding to the historical associated current data; when the historical associated power data belongs to the category of historical associated voltage data, the corresponding change difference is ΔV. A ΔV B and ΔV C The corresponding statistical change difference is: V represents the statistical variation difference, and n² represents the number of variation differences corresponding to the historical associated voltage data. Furthermore, the first weight value can be determined based on the correspondence between the statistical variation difference and the first weight value. The larger the statistical variation difference, the larger the corresponding first weight value. For example, if V > I, then V corresponds to the first weight value, and I corresponds to the second weight value. It can be understood that a larger statistical variation difference indicates a greater impact from environmental data, and the probability of anomalies in the corresponding historical associated power data increases accordingly, thus resulting in a larger corresponding first weight value.

[0097] In this embodiment, multiple historical data are acquired, and the change difference corresponding to the category of each historical associated power data is calculated for each historical environmental data to clarify the change of the historical associated power data when the environmental data changes. A statistical change difference is determined for the change difference corresponding to the category of each historical associated power data to clarify the overall change trend of the category of each historical associated power data. When the environmental data changes, the more obvious the change in the historical associated power data, the greater the impact of the environmental data change and the higher the probability of anomalies. Therefore, the first weight value for determining associated power data is effectively improved by combining historical environmental data and statistical change difference.

[0098] One possible implementation of this application embodiment includes:

[0099] Real-time acquisition of facial images within a second preset distance range, the second preset distance range being a circular range with the power distribution station as the center and the second preset distance as the radius;

[0100] The system identifies facial images based on a pre-set facial database to determine whether the facial image is from an unfamiliar person.

[0101] If the face image is an unfamiliar face image, then obtain the second time information and determine whether the second time information is within the preset prohibited access period;

[0102] If the second time information falls within a preset prohibited access period, an unauthorized intrusion alert signal will be generated;

[0103] If the second time information is not within the preset prohibited access period, a stranger access alert signal will be generated;

[0104] Send an alert signal to remind administrators. The alert signal is for unauthorized entry or access by a stranger.

[0105] Specifically, the second preset distance range is set by technicians based on their work experience and pre-input into the electronic device; this application embodiment does not limit the second preset distance. Facial images can be captured in real time by an image acquisition device and uploaded to the electronic device. It is understood that multiple image acquisition devices can be installed outside the power distribution station to capture more accurate facial images; this application embodiment does not limit the installation location of the image acquisition devices.

[0106] The preset face database stores multiple face images. These multiple face images are matched one by one with the face images captured by the image acquisition device for identification. If the face image captured by the image acquisition device does not match the preset face database, it is determined to be a stranger face image, that is, the person corresponding to the face has not entered the power distribution room before; otherwise, it is determined that the person corresponding to the face has visited the power distribution room and is a trusted person.

[0107] The second time information can be obtained through an electronic clock; the preset prohibited access period is pre-input and stored in the electronic device by technicians; in this embodiment, combined with the actual situation, it is preferable to set 19:00-8:00 the next day as the prohibited access period. It can be understood that the above period is the off-duty time of operation and maintenance management personnel. Normal visitors will visit the power distribution room during the working hours, so visiting the power distribution room during the off-duty time is somewhat suspicious; therefore, if the second time is within the preset prohibited access period, an illegal intrusion reminder signal is generated, indicating that the person corresponding to the face image may have a high probability of illegal intrusion, and therefore it is necessary to remind the operation and maintenance management personnel in time; otherwise, it indicates that the person corresponding to the face image is a stranger, and it may be a stranger visiting. Furthermore, the illegal intrusion reminder signal or stranger access reminder signal can be wirelessly transmitted to the terminal device of the operation and maintenance management personnel to remind the management personnel to pay attention to the visitors.

[0108] In this embodiment, facial images within a second preset distance range are monitored in real time. When a facial image is detected, facial recognition is performed to determine whether it is an unfamiliar facial image. If it is determined to be an unfamiliar facial image, second time information is obtained to determine whether the person corresponding to the facial image has malicious intent, i.e., may damage or steal equipment in the power distribution room. Therefore, if the second time information is within a preset prohibited access period, an illegal intrusion warning signal is generated; if it is not within the preset prohibited access period, a stranger access warning signal is generated. The illegal intrusion warning signal or the stranger access warning signal is sent to the management personnel to help them improve their vigilance and prevent damage to the power distribution room.

[0109] The above embodiments describe a substation operation and maintenance monitoring method from the perspective of process flow. The following embodiments describe a substation operation and maintenance monitoring device from the perspective of virtual module or virtual unit. For details, please refer to the following embodiments.

[0110] This application provides a power distribution station operation and maintenance monitoring device, such as... Figure 3 As shown, the substation operation and maintenance monitoring device may specifically include:

[0111] The acquisition module 201 is used to acquire multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data.

[0112] The judgment module 202 is used to determine whether the environmental data is within the preset standard environmental data range for each substation identification; if the environmental data is not within the preset standard environmental data range, the operation and maintenance coefficient determination module 203 is triggered.

[0113] The operation and maintenance coefficient determination module 203 is used to obtain the first weight value corresponding to each of the multiple associated power data, and determine the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data and their respective first weight values; the sending module 204 is used to send all substation identifications and their respective operation and maintenance coefficients to the display terminal to provide reminders on the operation status of the substation.

[0114] In one possible implementation of this application embodiment, when the operation and maintenance coefficient determination module 203 determines the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, multiple associated power data, and their respective first weight values, it is specifically used for:

[0115] Obtain the location information corresponding to the substation room identifier, and determine the second weight value of the substation room identifier based on the location information;

[0116] For each associated power data, based on the associated power data and the preset standard associated power data corresponding to the associated power data, the correction coefficient information of the first weight value corresponding to the associated power data is determined. The correction coefficient information includes: the existence of a correction coefficient and the corresponding preset correction coefficient value, or the absence of a correction coefficient.

[0117] Based on the second weight value of the substation identification and the first weight value and correction coefficient information of each of the multiple associated power data, the operation and maintenance coefficient corresponding to the substation identification is determined.

[0118] In one possible implementation of this application embodiment, when the operation and maintenance coefficient determination module 203 performs the second weight value determination of the substation identification based on location information, it is specifically used for:

[0119] Several public building signs within a first preset distance range for obtaining location information;

[0120] Based on all public building identifiers and the key fields corresponding to the preset public building categories, determine the target public building category corresponding to each public building identifier and the number of public building identifiers corresponding to each target public building category;

[0121] Obtain first-hand information and determine the importance level of each category of all target public buildings based on the first-hand information; determine the second weight value of the substation identification based on the importance level and quantity information.

[0122] In one possible implementation of this application embodiment, when the operation and maintenance coefficient determination module 203 performs the task of obtaining the first weight value corresponding to each of the multiple associated power data, it is specifically used for:

[0123] Acquire multiple historical data sets, including historical environmental data and multiple historical related power data sets.

[0124] For each historical environmental data point, calculate the change difference in the category to which each historical associated power data point belongs. The category to which the historical associated power data point belongs is determined based on the historical associated power data.

[0125] The statistical change difference is determined based on the change difference corresponding to the respective categories of historical related power data.

[0126] Based on the statistical change difference corresponding to the category of each of all historical related power data, the first weight value corresponding to multiple related power data is determined.

[0127] One possible implementation of this application embodiment of the power distribution station operation and maintenance monitoring device further includes:

[0128] The face recognition module is used for:

[0129] Real-time acquisition of facial images within a second preset distance range, the second preset distance range being a circular range with the power distribution station as the center and the second preset distance as the radius;

[0130] The system identifies facial images based on a pre-set facial database to determine whether the facial image is from an unfamiliar person.

[0131] If the face image is an unfamiliar face image, then obtain the second time information and determine whether the second time information is within the preset prohibited access period;

[0132] If the second time information falls within a preset prohibited access period, an unauthorized intrusion alert signal will be generated;

[0133] If the second time information is not within the preset prohibited access period, a stranger access alert signal will be generated;

[0134] Send an alert signal to remind administrators. The alert signal is for unauthorized entry or access by a stranger.

[0135] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the substation operation and maintenance monitoring device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0136] This application provides an electronic device, such as... Figure 4 As shown, Figure 4 The illustrated electronic device includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device does not constitute a limitation on the embodiments of this application.

[0137] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0138] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0139] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0140] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0141] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0142] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0143] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0144] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for operation and maintenance monitoring of a substation, characterized in that, include: Acquire multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data; For each substation identification, determine whether the environmental data is within the preset standard environmental data range; If the environmental data is not within the range of the preset standard environmental data, then the first weight value corresponding to each of the multiple associated power data is obtained, and the operation and maintenance coefficient corresponding to the substation identification is determined based on the substation identification, the multiple associated power data and their respective first weight values. The step of obtaining the first weight value corresponding to each of the multiple associated power data includes: Obtain multiple historical data sets, including: Historical environmental data and multiple historical related power data; For each historical environmental data point, calculate the change difference of the category to which each of the historical associated power data points belongs, wherein the category to which the historical associated power data points belong is determined based on the historical associated power data points; Based on the change difference corresponding to each category of the historical associated power data, the statistical change difference is determined; Based on the statistical change difference corresponding to the category to which all the historical associated power data belong, the first weight value corresponding to the plurality of associated power data is determined; The step of determining the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data, and their respective first weight values ​​includes: Obtain the location information corresponding to the substation identification, and determine the second weight value of the substation identification based on the location information; For each associated power data, based on the associated power data and the corresponding preset standard associated power data, correction coefficient information for the first weight value of the associated power data is determined. The correction coefficient information includes: There is a correction factor and a corresponding preset correction factor value; or, there is no correction factor. Based on the second weight value of the substation identification and the first weight value and correction coefficient information of the first weight value corresponding to each of the multiple associated power data, the operation and maintenance coefficient corresponding to the substation identification is determined. The step of determining the second weight value of the substation identification based on the location information includes: Acquire several public building identifiers within a first preset distance range of the location information; Based on the key fields corresponding to all the public building identifiers and the preset public building categories, determine the target public building category corresponding to each of the public building identifiers and the number of public building identifiers corresponding to each target public building category; Obtain first-time information and determine the importance level of each category to which all the target public buildings belong based on the first-time information; Based on the importance level and the quantity information, a second weight value for the substation identification is determined; All the substation identification numbers and their corresponding operation and maintenance coefficients are sent to the display terminal to provide reminders about the operation status of the substations.

2. The substation operation and maintenance monitoring method according to claim 1, characterized in that, The method further includes: Real-time acquisition of facial images within a second preset distance range, where the second preset distance range is a circular range with the power distribution station as the center and the second preset distance as the radius; The face image is identified based on a preset face database to determine whether the face image is an unfamiliar face image; If the face image is an unfamiliar face image, then the second time information is obtained, and it is determined whether the second time information is within a preset prohibited access period; If the second time information falls within the preset prohibited access period, an unauthorized intrusion alert signal is generated; If the second time information is not within the preset prohibited access period, a stranger access reminder signal is generated; Send an alert signal to remind administrators, the alert signal being either an unauthorized intrusion alert signal or a stranger access alert signal.

3. A substation operation and maintenance monitoring device, characterized in that, include: The acquisition module is used to acquire multiple power distribution station identifiers, environmental data corresponding to each of the multiple power distribution station identifiers, and multiple associated power data corresponding to the environmental data; The judgment module is used to determine whether the environmental data is within the preset standard environmental data range for each substation identification; if the environmental data is not within the preset standard environmental data range, the operation and maintenance coefficient determination module is triggered. The operation and maintenance coefficient determination module is used to obtain the first weight value corresponding to each of the multiple associated power data, and determine the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data and their respective first weight values. When the operation and maintenance coefficient determination module retrieves the first weight value corresponding to each of multiple related power data, it is specifically used for: Acquire multiple historical data sets, including historical environmental data and multiple historical related power data sets. For each historical environmental data point, calculate the change difference in the category to which each historical associated power data point belongs. The category to which the historical associated power data point belongs is determined based on the historical associated power data. The statistical change difference is determined based on the change difference corresponding to the respective categories of historical related power data. Based on the statistical change difference corresponding to the category of each of all historical related power data, the first weight value corresponding to multiple related power data is determined. When the operation and maintenance coefficient determination module determines the operation and maintenance coefficient corresponding to the substation identification based on the substation identification, the multiple associated power data, and their respective first weight values, it is used for: Obtain the location information corresponding to the substation identification, and determine the second weight value of the substation identification based on the location information; For each associated power data, based on the associated power data and the corresponding preset standard associated power data, correction coefficient information for the first weight value of the associated power data is determined. The correction coefficient information includes: There is a correction factor and a corresponding preset correction factor value; or, there is no correction factor. Based on the second weight value of the substation identification and the first weight value and correction coefficient information of the first weight value corresponding to each of the multiple associated power data, the operation and maintenance coefficient corresponding to the substation identification is determined. When the operation and maintenance coefficient determination module performs the second weight value determination of the substation identification based on the location information, it is used for: Acquire several public building identifiers within a first preset distance range of the location information; Based on the key fields corresponding to all the public building identifiers and the preset public building categories, determine the target public building category corresponding to each of the public building identifiers and the number of public building identifiers corresponding to each target public building category; Obtain first-time information and determine the importance level of each category to which all the target public buildings belong based on the first-time information; Based on the importance level and the quantity information, a second weight value for the substation identification is determined; The sending module is used to send all the substation identifications and their corresponding operation and maintenance coefficients to the display terminal to provide reminders about the operation status of the substations.

4. An electronic device, characterized in that, include: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, said at least one application being configured to: execute a substation operation and maintenance monitoring method according to any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed in a computer, causes the computer to perform a substation operation and maintenance monitoring method as described in any one of claims 1 to 2.

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