CN117554882A - Meter box monitoring method and device based on Internet of things communication device - Google Patents
Meter box monitoring method and device based on Internet of things communication device Download PDFInfo
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- CN117554882A CN117554882A CN202311509561.XA CN202311509561A CN117554882A CN 117554882 A CN117554882 A CN 117554882A CN 202311509561 A CN202311509561 A CN 202311509561A CN 117554882 A CN117554882 A CN 117554882A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1218—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using optical methods; using charged particle, e.g. electron, beams or X-rays
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Abstract
The invention provides a meter box monitoring method and a meter box monitoring device based on an internet of things communication device, which belong to the technical field of electric power instruments and specifically comprise the following steps: according to the metering data of different electric meters of the electric meter box, the metering problem probability of the different electric meters and the determination of the suspected metering problem meter are carried out, the arc light detection data of the different electric meters of the electric meter box are used for determining the operation safety of the different electric meters and the determination of the risk meter, the number of the electric meters of the electric meter box is obtained, the operation safety of the different electric meters of the electric meter box, the metering problem probability, the suspected metering problem meter and the risk meter are combined for determining the operation state value of the electric meter box, and whether the setting of a local monitoring analysis module is needed is determined based on the operation state value and the number of the electric meters, so that the processing reliability of the electric meter is further improved.
Description
Technical Field
The invention belongs to the technical field of electric instruments, and particularly relates to a meter box monitoring method and device based on an internet of things communication device.
Background
The electric meter and the electric meter box are used as core electric equipment, reliable monitoring of real-time operation data is important, and in order to realize reliable monitoring of the electric meter box, real-time monitoring data of the electric meter box are obtained in an invention patent CN202310524677.4, namely a high-protection electric meter box with a high anti-theft performance and a protection button, and when the real-time monitoring data of the electric meter box is abnormal, an alarm signal is sent to a client through an alarm unit, and an alarm prompt is sent in real time, but the following technical problems exist:
whether a local operation and maintenance module is needed to be built for the power meters in the power meter box is determined by not considering the number of the power meters in the power meter box, the existing power meters are often subjected to operation and maintenance management through a unified data supervision platform, and if the local operation and maintenance module is lacking due to the limitation of processing capacity, real-time supervision processing for the power meters in the power meter box cannot be accurately realized.
Aiming at the technical problems, the invention provides a meter box monitoring method and a meter box monitoring device based on an Internet of things communication device.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the invention, a meter box monitoring method based on an internet of things communication device is provided.
The meter box monitoring method based on the communication device of the Internet of things is characterized by comprising the following steps of:
s1, acquiring cabinet door opening data of an electric meter box based on an Internet of things terminal, determining a transformation risk value of an electric meter of the electric meter box according to the cabinet door opening data, judging whether the transformation risk value meets requirements, if so, entering a step S2, and if not, entering a step S3;
s2, determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, judging whether the operation reliability meets the requirement, if so, temporarily not determining a local monitoring analysis module, and if not, entering a step S3;
s3, determining metering problem probability and suspected metering problem meter of different electric meters according to metering data of different electric meters of the electric meter box, and determining operation safety and risk meter of different electric meters according to arc light detection data of different electric meters of the electric meter box;
s4, acquiring the number of the power meter meters of the power meter box, and determining the running state value of the power meter box by combining the running safety and the metering problem probability of different power meter meters, the suspected metering problem meter and the risk meter of the power meter box, and determining whether the setting of the local monitoring analysis module is needed or not based on the running state value, the number of the power meter meters and the average historical load of different power meter meters.
The invention has the beneficial effects that:
1. the method comprises the steps of determining the transformation risk value of the electric meter box according to cabinet door opening data, determining the transformation risk of the electric meter box based on the opening condition of the electric meter box, and laying a foundation for reliable processing of the electric meter box with larger transformation risk.
2. The operation reliability of the electric power meter box is determined through the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, the abnormal monitoring condition of the temperature and humidity of the single electric power meter box is considered, and the arc light condition caused by overlarge current is also considered, so that the operation reliability of the electric power meter box is accurately estimated, and a foundation is laid for further realizing the processing of the local monitoring data of the electric power meter box with poor operation reliability.
3. The method and the system have the advantages that the setting of the local monitoring analysis module is required to be carried out on the basis of the operation state value, the number of the power meters and the average historical load of different power meters, the probability that the power meters are transformed due to the power meters of the power meter box is considered, meanwhile, the difference of operation reliability caused by the difference of arc data of the power meters is considered, the accurate evaluation of the operation state of the power meter box is achieved, and the problem of loss after transformation caused by the difference of the historical load of the power meters and the setting of the local monitoring analysis module are also achieved according to the number of the power meters.
The further technical scheme is that the cabinet door opening data comprise cabinet door opening times and opening time lengths of different cabinet door opening times.
The further technical scheme is that judging whether the transformation risk value meets the requirement or not specifically comprises:
when the transformation risk value is smaller than a preset risk value, determining that the transformation risk value meets the requirement, and if not, determining that the transformation risk value cannot meet the requirement.
The further technical scheme is that the method for determining the suspected metering problem meter comprises the following steps:
determining reference values of metering data of the electric meter in different time periods according to metering data of the electric meter box, and determining abnormal metering evaluation amounts of different dates based on the number of time periods when the deviation amounts of the metering data of different dates and the reference values of the metering data of the electric meter box in preset time do not meet requirements;
and determining the metering problem probability of the electric meter according to the maximum value of the abnormal metering evaluation values of the electric meter on different dates within the preset time, and determining the suspected metering problem meter based on the metering problem probability.
The further technical scheme is that the method for determining the risk meter comprises the following steps:
and determining the arc light occurrence times and the occurrence time of different arc light occurrence times of the electric meter through arc light detection data of different electric meters of the electric meter box, determining the operation safety of the electric meter based on the arc light occurrence times and the occurrence time of different arc light occurrence times of the electric meter, and determining the risk meter through the operation safety.
The further technical scheme is that the local monitoring and analyzing module is constructed through data analyzing equipment comprising data maintenance ports of Bluetooth and WIFI, and fault diagnosis data of the power meter box are transmitted to the smart palm phone or the smart mobile phone through the Bluetooth or WIFI module.
On the other hand, the application provides a table case monitoring devices based on thing networking communication device, adopts foretell table case monitoring methods based on thing networking communication device, its characterized in that specifically includes:
the system comprises a transformation risk assessment module, a reliability assessment module, a problem meter determination module and a result output module;
the transformation risk assessment module is responsible for acquiring cabinet door opening data of the electric power meter box based on the internet of things terminal, and determining a transformation risk value of an electric power meter of the electric power meter box according to the cabinet door opening data;
the reliability evaluation module is responsible for determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box;
the problem meter determining module is responsible for determining the metering problem probability of different power meters and the suspected metering problem meter according to metering data of different power meters of the power meter box, and determining the operation safety of different power meters and the risk meter according to arc light detection data of different power meters of the power meter box;
the result output module is responsible for obtaining the number of the power meter meters of the power meter box, and combining the operation safety and metering problem probability of different power meter meters of the power meter box, the suspected metering problem meter meters and the risk meter meters to determine the operation state value of the power meter box, and determining whether the setting of the local monitoring analysis module is needed or not based on the operation state value and the number of the power meter meters.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 is a flow chart of a method of meter box monitoring based on an Internet of things communication device;
FIG. 2 is a flow chart of a method of determining a retrofit risk value for a power meter of a power meter box;
fig. 3 is a frame diagram of a meter box monitoring device based on an internet of things communication device.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
The applicant finds that the local processing of the monitoring data of the electric power instrument can be realized by setting a terminal for carrying out the local monitoring data processing for the electric power meter box, but because different electric power meter boxes have different risks of modification due to the difference of opening data of the cabinet door, meanwhile, the metering loads of different electric power meter boxes and the number of the electric power meter boxes also have different, and how to combine the two factors to set the local monitoring data processing terminal is a technical problem to be solved urgently.
Example 1
In order to solve the above-mentioned problems, according to an aspect of the present invention, as shown in fig. 1, there is provided a meter box monitoring method based on an internet of things communication device, which is characterized by specifically comprising:
s1, acquiring cabinet door opening data of an electric meter box based on an Internet of things terminal, determining a transformation risk value of an electric meter of the electric meter box according to the cabinet door opening data, judging whether the transformation risk value meets requirements, if so, entering a step S2, and if not, entering a step S3;
it should be noted that the cabinet door opening data includes the number of times of opening the cabinet door and the opening time length of different times of opening the cabinet door.
In a possible embodiment, as shown in fig. 2, the method for determining the risk value of modification of the electricity meter box in the step S1 is as follows:
s11, determining the door opening times of the electric power meter box and the door opening time of different door opening times according to the door opening data of the electric power meter box, and determining opening risk values of different door opening times and the opening times of the problem door according to the door opening time of different door opening times and the number of abnormal electric power meters after the door is opened;
s12, determining whether the opening times of the problem cabinet door in preset time are larger than preset opening times or not based on the opening time of the opening times of the problem cabinet door, if so, determining that the transformation risk value cannot meet the requirement, determining the transformation risk value according to the opening times of the problem cabinet door in the preset time, and if not, entering the next step;
s13, determining whether an electric meter of the electric meter box has a transformation risk according to the number of times of opening a cabinet door of the electric meter box in preset time and the weight sum of opening risk values of the number of times of opening the cabinet door in preset time and the recent transformation risk value, if so, determining that the transformation risk value cannot meet the requirement, and determining the transformation risk value according to the recent transformation risk value;
s14, acquiring the opening times of the problem cabinet door of the electric power meter box and the opening times of the cabinet door, and determining the transformation risk value by combining the recent transformation risk value.
It can be appreciated that determining whether the transformation risk value meets the requirement specifically includes:
when the transformation risk value is smaller than a preset risk value, determining that the transformation risk value meets the requirement, and if not, determining that the transformation risk value cannot meet the requirement.
In another embodiment, the method for determining the risk value of modification of the electricity meter box in the step S1 is as follows:
determining the door opening times of the electric power meter box and the door opening time of different door opening times according to the door opening data of the electric power meter box, and determining opening risk values of different door opening times and the opening times of the problem door according to the door opening time of different door opening times and the number of abnormal electric power meter after the door is opened;
when the weight sum of the opening risk values of the opening times of the cabinet door of the problem in the preset time does not meet the requirement:
determining that the transformation risk value cannot meet the requirement, and determining the transformation risk value according to the weight of the opening risk value of the opening times of the problem cabinet door in preset time;
when the weight of the opening risk value of the opening times of the cabinet door of the problem in the preset time and the requirement are met:
when the weight sum of the opening risk values of the opening times of the problem cabinet door of the electric power meter box meets the requirement:
determining that the transformation risk value meets the requirement, and determining the transformation risk value according to the weight sum of the opening risk values of the opening times of the problem cabinet door of the electric power meter box and the weight sum of the opening risk values of the opening times of the problem cabinet door within preset time;
when the sum of the weights of the opening risk values of the opening times of the problem cabinet door of the electric power meter box does not meet the requirement:
and acquiring the opening times of the problem cabinet door of the electric power meter box and the opening times of the cabinet door by the weight sum of the opening risk values of the opening times of the problem cabinet door in preset time, the opening times of the cabinet door in preset time and the opening risk values of the opening times of the cabinet door and determining the recent transformation risk values, and combining the recent transformation risk values to determine the transformation risk values.
S2, determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, judging whether the operation reliability meets the requirement, if so, temporarily not determining a local monitoring analysis module, and if not, entering a step S3;
in one possible embodiment, the method for determining the operational reliability of the power meter box in the step S2 is as follows:
s21, determining the abnormal times of the temperature and the humidity and the arc light of the electric power meter box and the arc light occurrence times through the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, determining the abnormal quantity of the monitoring data of the electric power meter box in unit time based on the abnormal times of the temperature and the humidity and the arc light occurrence times of the electric power meter box in unit time, and determining the abnormal evaluation value of the recent monitoring data of the electric power meter box based on the maximum value of the abnormal quantity of the monitoring data of the electric power meter box in the unit time in the latest preset time and the quantity of the abnormal quantity of the monitoring data in unit time greater than the preset value;
s22, judging whether the recent monitoring data abnormal evaluation value of the electric power meter box is smaller than a preset abnormal limit amount, if yes, determining the operation reliability of the electric power meter box through the recent monitoring data abnormal evaluation value of the electric power meter box, and if not, entering the next step;
s23, determining abnormal severity evaluation values of different temperature and humidity abnormal times based on abnormal time lengths of different temperature and humidity abnormal times of the electric power meter box and abnormal degrees of temperature and humidity monitoring data, and determining temperature and humidity abnormal evaluation values of the electric power meter box by combining the temperature and humidity abnormal times of the electric power meter box and the temperature and humidity accumulated abnormal time length;
s24, determining the arc light generation times of the electric power meter box and the screening arc light generation times of which the arc light time length is larger than a time length limiting value according to arc light detection data of the electric power meter box, and determining the operation reliability of the electric power meter box by combining a recent monitoring data abnormality evaluation value and a temperature and humidity abnormality evaluation value of the electric power meter box.
Specifically, the value range of the temperature and humidity abnormality evaluation value of the electric power meter box is between 0 and 1, wherein the larger the temperature and humidity abnormality evaluation value of the electric power meter box is, the more unreliable the operation state of the electric power meter box is.
In another possible embodiment, the method for determining the operational reliability of the power meter box in the step S2 is as follows:
determining the abnormal times of the temperature and humidity with the abnormal time length longer than the preset time length according to the temperature and humidity monitoring data of the electric power meter box, acquiring arc light detection data of the electric power meter box, and determining the determination of the arc light occurrence times of the meter box based on the arc light detection data;
and determining a temperature and humidity abnormality number limiting value and an arc light occurrence number limiting value of the electric power meter box according to the operation time of the electric power meter box, and when the temperature and humidity abnormality number of the electric power meter box is smaller than the temperature and humidity abnormality number limiting value of the electric power meter box and the arc light occurrence number of the electric power meter box is smaller than the arc light occurrence number limiting value:
and determining the maximum value of the temperature and humidity abnormality times and the maximum value of the arc light occurrence times in unit time based on the temperature and humidity abnormality times and the arc light occurrence times of the electric power meter box, wherein when the maximum value of the temperature and humidity abnormality times and the maximum value of the arc light occurrence times of the electric power meter box in unit time meet the requirements:
determining that the operation reliability of the electric meter box meets the requirement;
when any one of the maximum value of the abnormal times of the temperature and the humidity and the maximum value of the arc light occurrence times in the unit time length of the electric power meter box cannot meet the requirements:
determining abnormal amounts of monitoring data of the electric power meter box in unit time according to abnormal times of temperature and humidity and arc occurrence times of the electric power meter box in unit time, and determining abnormal evaluation values of recent monitoring data of the electric power meter box based on the maximum value of the abnormal amounts of the monitoring data of the electric power meter box in the unit time in the latest preset time and the number of the unit time when the abnormal amounts of the monitoring data are larger than the preset value;
obtaining the maximum value of the abnormal quantity of the monitoring data in the unit time length of the power meter box and the quantity of the unit time length of the abnormal quantity of the monitoring data larger than a preset value, and determining the operation reliability of the power meter box by combining the recent abnormal evaluation value of the monitoring data of the power meter box;
when the abnormal temperature and humidity frequency of the electric power meter box is not less than the abnormal temperature and humidity frequency limiting value of the electric power meter box or the arc light occurrence frequency of the electric power meter box is not less than the arc light occurrence frequency limiting value:
determining abnormal severity evaluation values of different temperature and humidity abnormal times based on abnormal time lengths of different temperature and humidity abnormal times of the electric power meter box and abnormal degrees of temperature and humidity monitoring data, and determining temperature and humidity abnormal evaluation values of the electric power meter box by combining the temperature and humidity abnormal times of the electric power meter box and the temperature and humidity accumulated abnormal time length;
and determining the arc occurrence times of the electric power meter box according to the arc detection data of the electric power meter box, and determining the operation reliability of the electric power meter box according to the operation time length and the abnormal temperature and humidity evaluation quantity of the electric power meter box.
S3, determining metering problem probability and suspected metering problem meter of different electric meters according to metering data of different electric meters of the electric meter box, and determining operation safety and risk meter of different electric meters according to arc light detection data of different electric meters of the electric meter box;
it should be further noted that the method for determining the suspected meter of the metering problem in the step S3 includes:
determining reference values of metering data of the electric meter in different time periods according to metering data of the electric meter box, and determining abnormal metering evaluation amounts of different dates based on the number of time periods when the deviation amounts of the metering data of different dates and the reference values of the metering data of the electric meter box in preset time do not meet requirements;
and determining the metering problem probability of the electric meter according to the maximum value of the abnormal metering evaluation values of the electric meter on different dates within the preset time, and determining the suspected metering problem meter based on the metering problem probability.
It should be further noted that the method for determining the risk meter in the step S3 is as follows:
and determining the arc light occurrence times and the occurrence time of different arc light occurrence times of the electric meter through arc light detection data of different electric meters of the electric meter box, determining the operation safety of the electric meter based on the arc light occurrence times and the occurrence time of different arc light occurrence times of the electric meter, and determining the risk meter through the operation safety.
S4, acquiring the number of the power meter meters of the power meter box, and determining the running state value of the power meter box by combining the running safety and the metering problem probability of different power meter meters, the suspected metering problem meter and the risk meter of the power meter box, and determining whether the setting of the local monitoring analysis module is needed or not based on the running state value, the number of the power meter meters and the average historical load of different power meter meters.
In one possible embodiment, the method for determining the running state value of the power meter box in the step S3 is as follows:
acquiring the number of the electric meter meters of the electric meter box, and determining the operation state value of the electric meter box by combining the operation safety, the metering problem probability, the suspected metering problem meter and the risk meter of different electric meter meters of the electric meter box;
taking an electric meter belonging to a suspected metering problem meter and a risk metering meter as a serious abnormal meter, and determining an operation abnormal value of the serious abnormal meter of the electric meter box according to the number, operation safety and metering problem probability of the serious abnormal meter;
when the operation abnormal value of the serious abnormal meter of the electric meter box meets the requirement:
taking the ratio of the number of suspected metering problem meters of the electric power meter box to the number of the electric power meters as metering problem meter ratio, and taking the ratio of the number of risk meters of the electric power meter box to the number of the electric power meters as risk meter ratio;
when the number and the range of the metering problem meter ratios and the risk meter ratios are within a preset proportion range:
the method comprises the steps of obtaining the number of suspected metering problem meters and risk meters, determining the compensation quantity of operation abnormal values by combining the number of the metering problem meters, the number of the risk meters and the number of the metering ratio, and determining the operation state value of the electric power meter box by combining the operation abnormal values of the serious abnormal meters of the electric power meter box.
When the number sum of the metering problem meter ratios and the risk meter ratios is not within a preset proportion range:
determining the number and the number of the suspected metering problem meters, the metering problem meter ratio, the average value of metering problem probabilities of different power meters and the metering comprehensive problem probability of the power meter box;
and determining the running state value of the electric meter box by means of the number and the ratio of the risk meters, the average value and the number of the running safety of different electric meter meters and the measurement comprehensive running safety of the electric meter of the electric meter box and combining the measurement comprehensive problem probability of the electric meter box and the running abnormal value of the serious abnormal meter of the electric meter box.
When the operation abnormal value of the serious abnormal meter of the power meter box does not meet the requirement:
and determining the operation state value of the electric power meter box based on the operation abnormal value of the serious abnormal meter of the electric power meter box.
Specifically, determining whether the setting of the local monitoring analysis module is needed or not based on the running state value, the number of the power meters and the average historical load of different power meters specifically includes:
dividing the power meter into important power meters and other power meters according to the average historical loads of different power meters;
and determining the transformation loss evaluation quantity of the power meter box through the quantity of important power meters, the quantity of average historical loads, the quantity of other power meters, the quantity of average historical loads and the quantity of the average historical loads, and determining the comprehensive evaluation quantity by combining the running state value, and determining whether the setting of a local monitoring analysis module is needed or not based on the comprehensive evaluation quantity.
Specifically, the local monitoring analysis module is constructed through data analysis equipment comprising data maintenance ports of Bluetooth and WIFI, and fault diagnosis data of the power meter box are transmitted to the smart palm phone or the smart mobile phone through the Bluetooth or the WIFI module.
Example 2
On the other hand, as shown in fig. 3, the present application provides a meter box monitoring device based on an internet of things communication device, and the meter box monitoring method based on the internet of things communication device is characterized by specifically including:
the system comprises a transformation risk assessment module, a reliability assessment module, a problem meter determination module and a result output module;
the transformation risk assessment module is responsible for acquiring cabinet door opening data of the electric power meter box based on the internet of things terminal, and determining a transformation risk value of an electric power meter of the electric power meter box according to the cabinet door opening data;
the reliability evaluation module is responsible for determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box;
the problem meter determining module is responsible for determining the metering problem probability of different power meters and the suspected metering problem meter according to metering data of different power meters of the power meter box, and determining the operation safety of different power meters and the risk meter according to arc light detection data of different power meters of the power meter box;
the result output module is responsible for obtaining the number of the power meter meters of the power meter box, and combining the operation safety and metering problem probability of different power meter meters of the power meter box, the suspected metering problem meter meters and the risk meter meters to determine the operation state value of the power meter box, and determining whether the setting of the local monitoring analysis module is needed or not based on the operation state value and the number of the power meter meters.
Through the above embodiments, the following beneficial effects are mainly obtained:
1. the method comprises the steps of determining the transformation risk value of the electric meter box according to cabinet door opening data, determining the transformation risk of the electric meter box based on the opening condition of the electric meter box, and laying a foundation for reliable processing of the electric meter box with larger transformation risk.
2. The operation reliability of the electric power meter box is determined through the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, the abnormal monitoring condition of the temperature and humidity of the single electric power meter box is considered, and the arc light condition caused by overlarge current is also considered, so that the operation reliability of the electric power meter box is accurately estimated, and a foundation is laid for further realizing the processing of the local monitoring data of the electric power meter box with poor operation reliability.
3. The method and the system have the advantages that the setting of the local monitoring analysis module is required to be carried out on the basis of the operation state value, the number of the power meters and the average historical load of different power meters, the probability that the power meters are transformed due to the power meters of the power meter box is considered, meanwhile, the difference of operation reliability caused by the difference of arc data of the power meters is considered, the accurate evaluation of the operation state of the power meter box is achieved, and the problem of loss after transformation caused by the difference of the historical load of the power meters and the setting of the local monitoring analysis module are also achieved according to the number of the power meters.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.
Claims (10)
1. The meter box monitoring method based on the communication device of the Internet of things is characterized by comprising the following steps of:
s1, acquiring cabinet door opening data of an electric meter box based on an Internet of things terminal, determining a transformation risk value of an electric meter of the electric meter box according to the cabinet door opening data, judging whether the transformation risk value meets requirements, if so, entering a step S2, and if not, entering a step S3;
s2, determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, judging whether the operation reliability meets the requirement, if so, temporarily not determining a local monitoring analysis module, and if not, entering a step S3;
s3, determining metering problem probability and suspected metering problem meter of different electric meters according to metering data of different electric meters of the electric meter box, and determining operation safety and risk meter of different electric meters according to arc light detection data of different electric meters of the electric meter box;
s4, acquiring the number of the power meter meters of the power meter box, and determining the running state value of the power meter box by combining the running safety and the metering problem probability of different power meter meters of the power meter box, the suspected metering problem meter and the risk meter, and determining whether the setting of the local monitoring analysis module is needed or not based on the running state value and the number of the power meter meters.
2. The method for monitoring the meter box based on the internet of things communication device according to claim 1, wherein the door opening data comprises door opening times and opening time lengths of different door opening times.
3. The meter box monitoring method based on the internet of things communication device according to claim 1, wherein the method for determining the transformation risk value of the power meter box is as follows:
s11, determining the door opening times of the electric power meter box and the door opening time of different door opening times according to the door opening data of the electric power meter box, and determining opening risk values of different door opening times and the opening times of the problem door according to the door opening time of different door opening times and the number of abnormal electric power meters after the door is opened;
s12, determining whether the opening times of the problem cabinet door in preset time are larger than preset opening times or not based on the opening time of the opening times of the problem cabinet door, if so, determining that the transformation risk value cannot meet the requirement, determining the transformation risk value according to the opening times of the problem cabinet door in the preset time, and if not, entering the next step;
s13, determining whether an electric meter of the electric meter box has a transformation risk according to the number of times of opening a cabinet door of the electric meter box in preset time and the weight sum of opening risk values of the number of times of opening the cabinet door in preset time and the recent transformation risk value, if so, determining that the transformation risk value cannot meet the requirement, and determining the transformation risk value according to the recent transformation risk value;
s14, acquiring the opening times of the problem cabinet door of the electric power meter box and the opening times of the cabinet door, and determining the transformation risk value by combining the recent transformation risk value.
4. The method for monitoring a meter box based on an internet of things communication device according to claim 1, wherein determining whether the transformation risk value meets a requirement specifically comprises:
when the transformation risk value is smaller than a preset risk value, determining that the transformation risk value meets the requirement, and if not, determining that the transformation risk value cannot meet the requirement.
5. The method for monitoring the meter box based on the internet of things communication device according to claim 1, wherein the method for determining the operation reliability of the power meter box is as follows:
s21, determining the abnormal times of the temperature and the humidity and the arc light of the electric power meter box and the arc light occurrence times through the temperature and humidity monitoring data and the arc light detection data of the electric power meter box, determining the abnormal quantity of the monitoring data of the electric power meter box in unit time based on the abnormal times of the temperature and the humidity and the arc light occurrence times of the electric power meter box in unit time, and determining the abnormal evaluation value of the recent monitoring data of the electric power meter box based on the maximum value of the abnormal quantity of the monitoring data of the electric power meter box in the unit time in the latest preset time and the quantity of the abnormal quantity of the monitoring data in unit time greater than the preset value;
s22, judging whether the recent monitoring data abnormal evaluation value of the electric power meter box is smaller than a preset abnormal limit amount, if yes, determining the operation reliability of the electric power meter box through the recent monitoring data abnormal evaluation value of the electric power meter box, and if not, entering the next step;
s23, determining abnormal severity evaluation values of different temperature and humidity abnormal times based on abnormal time lengths of different temperature and humidity abnormal times of the electric power meter box and abnormal degrees of temperature and humidity monitoring data, and determining temperature and humidity abnormal evaluation values of the electric power meter box by combining the temperature and humidity abnormal times of the electric power meter box and the temperature and humidity accumulated abnormal time length;
s24, determining the arc light generation times of the electric power meter box and the screening arc light generation times of which the arc light time length is larger than a time length limiting value according to arc light detection data of the electric power meter box, and determining the operation reliability of the electric power meter box by combining a recent monitoring data abnormality evaluation value and a temperature and humidity abnormality evaluation value of the electric power meter box.
6. The method for monitoring the meter box based on the internet of things communication device according to claim 5, wherein the value of the temperature and humidity abnormality evaluation value of the electric meter box is between 0 and 1, and the greater the temperature and humidity abnormality evaluation value of the electric meter box is, the less reliable the operation state of the electric meter box is.
7. The method for monitoring a meter box based on the communication device of the internet of things according to claim 1, wherein the method for determining the suspected meter of the metering problem is as follows:
determining reference values of metering data of the electric meter in different time periods according to metering data of the electric meter box, and determining abnormal metering evaluation amounts of different dates based on the number of time periods when the deviation amounts of the metering data of different dates and the reference values of the metering data of the electric meter box in preset time do not meet requirements;
and determining the metering problem probability of the electric meter according to the maximum value of the abnormal metering evaluation values of the electric meter on different dates within the preset time, and determining the suspected metering problem meter based on the metering problem probability.
8. The method for monitoring the meter box based on the internet of things communication device according to claim 1, wherein the method for determining the operation state value of the power meter box is as follows:
acquiring the number of the electric meter meters of the electric meter box, and determining the operation state value of the electric meter box by combining the operation safety, the metering problem probability, the suspected metering problem meter and the risk meter of different electric meter meters of the electric meter box;
taking an electric meter belonging to a suspected metering problem meter and a risk metering meter as a serious abnormal meter, and determining an operation abnormal value of the serious abnormal meter of the electric meter box according to the number, operation safety and metering problem probability of the serious abnormal meter;
when the operation abnormal value of the serious abnormal meter of the electric meter box meets the requirement:
taking the ratio of the number of suspected metering problem meters of the electric power meter box to the number of the electric power meters as metering problem meter ratio, and taking the ratio of the number of risk meters of the electric power meter box to the number of the electric power meters as risk meter ratio;
when the number and the range of the metering problem meter ratios and the risk meter ratios are within a preset proportion range:
the method comprises the steps of obtaining the number of suspected metering problem meters and risk meters, determining the compensation quantity of operation abnormal values by combining the number of the metering problem meters, the number of the risk meters and the number of the metering ratio, and determining the operation state value of the electric power meter box by combining the operation abnormal values of the serious abnormal meters of the electric power meter box.
When the number sum of the metering problem meter ratios and the risk meter ratios is not within a preset proportion range:
determining the number and the number of the suspected metering problem meters, the metering problem meter ratio, the average value of metering problem probabilities of different power meters and the metering comprehensive problem probability of the power meter box;
and determining the running state value of the electric meter box by means of the number and the ratio of the risk meters, the average value and the number of the running safety of different electric meter meters and the measurement comprehensive running safety of the electric meter of the electric meter box and combining the measurement comprehensive problem probability of the electric meter box and the running abnormal value of the serious abnormal meter of the electric meter box.
When the operation abnormal value of the serious abnormal meter of the power meter box does not meet the requirement:
and determining the operation state value of the electric power meter box based on the operation abnormal value of the serious abnormal meter of the electric power meter box.
9. The method for monitoring the meter box based on the internet of things communication device according to claim 1, wherein the local monitoring and analyzing module is constructed through a data analyzing device comprising data maintenance ports of bluetooth and WIFI, and fault diagnosis data of the power meter box is transmitted to a smart palm phone or a smart mobile phone through the bluetooth or WIFI module.
10. A meter box monitoring device based on an internet of things communication device, and a meter box monitoring method based on an internet of things communication device according to any one of claims 1-9, comprising the following steps:
the system comprises a transformation risk assessment module, a reliability assessment module, a problem meter determination module and a result output module;
the transformation risk assessment module is responsible for acquiring cabinet door opening data of the electric power meter box based on the internet of things terminal, and determining a transformation risk value of an electric power meter of the electric power meter box according to the cabinet door opening data;
the reliability evaluation module is responsible for determining the operation reliability of the electric power meter box according to the temperature and humidity monitoring data and the arc light detection data of the electric power meter box;
the problem meter determining module is responsible for determining the metering problem probability of different power meters and the suspected metering problem meter according to metering data of different power meters of the power meter box, and determining the operation safety of different power meters and the risk meter according to arc light detection data of different power meters of the power meter box;
the result output module is responsible for obtaining the number of the power meter meters of the power meter box, and combining the operation safety and metering problem probability of different power meter meters of the power meter box, the suspected metering problem meter meters and the risk meter meters to determine the operation state value of the power meter box, and determining whether the setting of the local monitoring analysis module is needed or not based on the operation state value and the number of the power meter meters.
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