CN113533832B - Intelligent Internet of things agent-based power outage sensing method and system for users in platform - Google Patents
Intelligent Internet of things agent-based power outage sensing method and system for users in platform Download PDFInfo
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Abstract
The invention provides a method and a system for sensing power failure of a user in a platform area based on an intelligent internet of things agent, comprising the following steps: carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area; judging whether power failure events occur to all users in the platform area by using the calling feedback of the intelligent ammeter of all users in the platform area; when a power failure event occurs to a user in the platform area, the power failure time recorded by the intelligent ammeter of the user with the power failure event is called up and the power failure time of the user with the power failure event is calculated at the time when the power failure event is recovered to the user with the power failure event. The invention improves the accuracy of sensing the power failure event of the user in the platform region and calculating the power failure duration, and improves the power supply reliability of the platform region.
Description
Technical Field
The invention relates to the technical field of power distribution operation and maintenance, in particular to a user station power failure sensing method and system based on an intelligent internet of things agent.
Background
Along with the construction of intelligent distribution network, join in marriage the power failure event of becoming the district and can pass through smart electric meter automatic recording, save, and some smart electric meters possess the function that the power failure reported to district intelligent integration terminal.
The intelligent internet of things agent is a series of edge side equipment such as a platform intelligent fusion terminal, an energy controller, an internet of things ammeter and the like. The intelligent internet of things agent can be used for researching the power outage event in the platform region, so that the power outage event can be quickly perceived, and the accuracy of power outage time statistics is improved.
At present, an intelligent internet of things agent is utilized to develop the study of the power failure event in a platform area, on one hand, under the existing communication condition, when the power failure event of a plurality of households occurs, a plurality of intelligent electric meters report the power failure information simultaneously to cause communication blockage, and difficulty is brought to the sensing of the power failure event; on the other hand, because the intelligent ammeter has higher requirements on communication and equipment energy storage after power failure, single or small number of users have power failure, refuse to submit or the possibility that reported information cannot be detected is higher, so that perception delay is caused, and statistics of power failure duration is inaccurate.
Therefore, a technology for sensing the power outage event in the platform area by using the intelligent internet of things proxy needs to be promoted.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a power failure sensing method for a platform user based on an intelligent internet of things agent, which comprises the following steps:
Carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
Judging whether power failure events occur to all users in the platform area by using the calling feedback of the intelligent ammeter of all users in the platform area;
When a power failure event occurs to a user in the platform area, the power failure time recorded by the intelligent ammeter of the user with the power failure event is called up and the power failure time of the user with the power failure event is calculated at the time when the power failure event is recovered to the user with the power failure event.
Preferably, the batch polling of the voltage value of the smart meter of the user in the platform area includes:
Based on a batch principle, carrying out batch on the intelligent electric meters of the users in the platform area;
and carrying out calling on the voltage values of all batches of intelligent electric meters in turn.
Further, the batch principle includes the following simultaneously:
the total number of the intelligent electric meters contained in each batch of intelligent electric meters is not more than the maximum intelligent electric meter number which can simultaneously allow information transmission under the condition that communication is not blocked;
Each batch of intelligent electric meters consists of intelligent electric meters connected with each phase line of the power transmission line, and the total number of the intelligent electric meters connected with each phase line of the power transmission line is different by no more than a preset number;
And the length of the power transmission line between the intelligent electric meters connected with the same phase line of the power transmission line in each batch of intelligent electric meters does not exceed the preset length.
Further, the determining whether the power failure event occurs to each user in the platform area by using the call feedback of the intelligent ammeter of each user in the platform area includes:
if the calling feedback of the intelligent ammeter of the user is not received within a preset period after the calling instruction is sent, the abnormal calling of the intelligent ammeter of the user is confirmed; otherwise, the intelligent ammeter of the user is determined to be called without abnormality;
If the abnormal calling of the intelligent electric meter of the user occurs simultaneously with the power failure of the station area or the power failure of the phase line of the power transmission line connected with the intelligent electric meter of the user, or if the voltage value fed back by the calling of the intelligent electric meter of the user is lower than the power failure voltage value of the user and the voltage value fed back by the last calling of the intelligent electric meter of the user does not lower than the power failure voltage value of the user, the user has a power failure event; otherwise, the user does not have a power outage event.
Further, the determining process of the power outage of the station area includes:
if the intelligent fusion terminal of the transformer area has a power failure and the sudden drop proportion of the distribution transformer outgoing line current before and after the power failure of the intelligent fusion terminal of the transformer area exceeds a preset percentage, the transformer area has a power failure; otherwise, the station area is not powered off.
Further, the determining process of the phase line outage of the power transmission line connected by the smart meter of the user includes:
If the intelligent fusion terminal of the transformer area is not powered off and the current effective value of the phase line at the moment when the transformer area intelligent fusion terminal is matched with the transformer outlet switch to open the brake exceeds a preset percentage in comparison with the current effective value of the phase line at the moment before the brake is opened, or the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality exceeds a preset percentage in comparison with the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality starts to trace back to the second moment, the phase line is powered off, otherwise, the phase line is not powered off.
Preferably, the time when the users with the power failure event recover to supply power is the time when the voltage value of the last calling feedback of the intelligent ammeter of the user with the power failure event is higher than the power-on voltage value of the user;
the power-off time recorded by the intelligent electric meter is the time when the intelligent electric meter detects that the voltage of the phase line connected with the power transmission line is lower than the power-off voltage value of the user and higher than the power-on voltage value of the user.
Preferably, after the determining whether the power failure event occurs to each user in the platform area, the method includes:
And feeding back the user with the power failure event and the user with abnormal intelligent ammeter call to the master station.
Preferably, after calculating the power outage duration of the user who has the power outage event, the method further includes:
And feeding back the power failure time length of the user with the power failure event and the information of recovering the power supply of the user with the power failure event to the master station.
Based on the same inventive concept, the invention also provides a station user power failure sensing system based on the intelligent internet of things agent, which comprises the following steps:
The batch polling and calling module is used for carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
The judging module is used for judging whether the power failure event occurs to each user in the platform area by using the calling feedback of the intelligent ammeter of each user in the platform area;
And the calculation module is used for calling the power-off time recorded by the intelligent ammeter of the user with the power failure event and calculating the power failure time of the user with the power failure event at the time when the power failure event occurs to the user in the platform area and the power failure event is recovered to the power failure event.
Compared with the closest prior art, the invention has the following beneficial effects:
The invention provides a method and a system for sensing power failure of a user in a platform area based on an intelligent internet of things agent, comprising the following steps: carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area; judging whether power failure events occur to all users in the platform area by using the calling feedback of the intelligent ammeter of all users in the platform area; when a power failure event occurs to a user in the platform area, the power failure time recorded by the intelligent ammeter of the user with the power failure event is called up and the power failure time of the user with the power failure event is calculated at the time when the power failure event is recovered to the user with the power failure event. According to the invention, the collected information of the intelligent ammeter in the transformer area is polled and tested in batches, the phenomenon of delay of power failure event sensing caused by communication blockage is avoided in the original communication mode, the sensing speed of power failure of users in the transformer area is improved, and meanwhile, the power failure duration of the users is calculated more accurately in a mode of separating power failure duration from power failure sensing, so that the power supply reliability is calculated accurately.
Drawings
FIG. 1 is a flow chart of a power outage sensing method for a user of a platform based on an intelligent Internet of things agent;
FIG. 2 is a flowchart illustrating a specific operation of a method for detecting power outage of a user in a cell according to an embodiment of the present invention;
Fig. 3 is a block diagram of a power outage sensing system for a user of a platform based on an intelligent internet of things agent.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
In order to solve the problems of delay of power failure event sensing and inaccurate statistics of power failure time, the invention provides a method for sensing power failure of a platform user based on an intelligent internet of things agent, which is realized on the basis of cooperative cooperation of an intelligent ammeter of the intelligent platform user and an intelligent fusion terminal of the platform, and as shown in fig. 1, the method comprises the following steps:
step 1: carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
Step 2: judging whether power failure events occur to all users in the platform area by using the calling feedback of the intelligent ammeter of all users in the platform area;
When a power failure event occurs to a user in the platform area, the power failure time recorded by the intelligent ammeter of the user with the power failure event is called up and the power failure time of the user with the power failure event is calculated at the time when the power failure event is recovered to the user with the power failure event.
The specific steps of the present invention are shown in fig. 2, and the step 1 specifically includes:
step 1.1, carrying out batch-wise operation on intelligent electric meters in a platform area according to a batch-wise principle;
The batch principle is as follows: each batch comprises intelligent meters of each phase, and the number of the intelligent meters of each phase is similar (within +/-1 of each phase);
the quantity of the intelligent electric meters in each batch must ensure that communication congestion is not caused when the intelligent electric meters in the batch report information simultaneously;
The physical distances of the in-phase smart meters in each batch of smart meters are close (the length of a transmission line between the in-phase smart meters is less than 200 meters).
Step 1.2, collecting information of the intelligent electric meter in a batch polling and measuring mode, wherein the information is mainly voltage;
and the batch polling call is to call the information of each batch of intelligent electric meters divided in the platform area in turn, and call the information of one batch of intelligent electric meters each time.
The step 2 specifically comprises the following steps:
step 2.1, performing power failure research and judgment according to information called from the intelligent ammeter;
The longest waiting time from the calling information to the information return is defined as TMAX, when the intelligent ammeter information of the user is called, if the information returned by the intelligent ammeter exists in the TMAX time, the last calling voltage of the intelligent ammeter is normal, and the calling voltage of the current time is less than 0.1p.u., the power failure event of the user is judged;
If no information is returned in TMAX time, recording abnormal calling of the intelligent electric meter of the user, and if power failure of the station area or power failure of a phase line of the intelligent electric meter connected with the power transmission line occurs, modifying the abnormal calling of the intelligent electric meter of the user into a power failure event of the user;
Other cases determine that the user has not had a power outage event.
The method for judging the power failure of the platform area comprises the following steps:
when the intelligent fusion terminal of the transformer area is powered off, detecting the power distribution outlet current change before and after the power failure of the intelligent fusion terminal of the transformer area, and judging that the transformer area is powered off if the power failure is 80% suddenly.
The method for judging the phase line outage of the intelligent ammeter connected with the power transmission line of the user comprises the following steps:
if the intelligent fusion terminal of the transformer area is powered on, when the distribution transformer outlet switch is collected from switching on to switching off, the current effective value before switching off and after switching off the phase line for 2s is obtained, and if 80% of the current is suddenly reduced, the phase line is judged to have a power failure.
And when the distribution transformer outlet switch action is not acquired, acquiring the current effective value of each phase line when the intelligent ammeter of the user is judged to be abnormal before the intelligent ammeter of the user is judged to be abnormal for 5 minutes, and judging that the phase line is powered off if 80% of the current effective value is suddenly reduced.
Step 2.2, reporting the user with the calling abnormality and the power failure event to a master station;
and when the intelligent ammeter connected with a certain phase line of the power transmission line has not less than 3 abnormal calling states in one polling period, the master station sends out a power failure alarm.
In the embodiment of the invention, if no user has a power failure event, the user with abnormal calling of the intelligent ammeter and the detection result of the station area are reported to the master station.
Step 2 is followed by step 3, wherein when a power failure event occurs in a user exists in the platform area, step 3 is executed, and when the power failure event occurs, the power failure event occurs at the time when the power failure event occurs and the user resumes power supply, the power failure time recorded by the smart electric meter of the user with the power failure event is called up, and the power failure time of the user with the power failure event is calculated, and step 3 specifically includes:
Step 3-1, identifying whether a user with a power failure event in the platform area is completely electrified or not through logic judgment of calling information;
step 3-2, carrying out the call measurement of the power-off event at the moment of complete power-on, and carrying out accurate power-off time length calculation of the users in the current station area;
And 3-3, reporting the power failure time of the user with the power failure event and the information of the user with the power failure event for recovering the power supply to the master station.
In the embodiment of the invention, when the intelligent electric energy of the user detects that the voltage of a phase line which is communicated with the power transmission line is smaller than 0.1p.u. (p.u is a per unit value), the intelligent electric energy of the user judges that the user has a power failure event and takes the power failure event as the power failure moment of the user to store;
The intelligent electric energy of the user detects that the voltage of a phase line which is communicated with the power transmission line exceeds 0.8p.u., the intelligent electric energy of the user judges that the user has a power-on event, and the power-on event is taken as the power-on moment of the user to be stored.
Example 2:
based on the same inventive concept, the invention also provides a station user power failure sensing system based on the intelligent internet of things agent. The basic structure of the system is shown in fig. 3, and comprises:
The batch polling and calling module is used for carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
The judging module is used for judging whether the power failure event occurs to each user in the platform area by using the calling feedback of the intelligent ammeter of each user in the platform area;
And the calculation module is used for calling the power-off time recorded by the intelligent ammeter of the user with the power failure event and calculating the power failure time of the user with the power failure event at the time when the power failure event occurs to the user in the platform area and the power failure event is recovered to the power failure event.
Specifically, the batch polling module includes:
the batch unit is used for carrying out batch on the intelligent electric meters of the users in the platform area based on a batch principle;
And the calling unit is used for calling the voltage values of all batches of intelligent electric meters in turn.
Further, the batch principle includes the following simultaneously:
the total number of the intelligent electric meters contained in each batch of intelligent electric meters is not more than the maximum intelligent electric meter number which can simultaneously allow information transmission under the condition that communication is not blocked;
Each batch of intelligent electric meters consists of intelligent electric meters connected with each phase line of the power transmission line, and the total number of the intelligent electric meters connected with each phase line of the power transmission line is different by no more than a preset number;
And the length of the power transmission line between the intelligent electric meters connected with the same phase line of the power transmission line in each batch of intelligent electric meters does not exceed the preset length.
Specifically, the judging module includes:
the identifying unit is used for identifying abnormal calling of the intelligent ammeter of the user if calling feedback of the intelligent ammeter of the user is not received within a preset period after the calling instruction is sent; otherwise, the intelligent ammeter of the user is determined to be called without abnormality;
The power failure event judging unit is used for judging whether the calling abnormality of the intelligent electric meter of the user occurs simultaneously with the power failure of the station or the power failure of the phase line of the power transmission line connected with the intelligent electric meter of the user, or if the voltage value of the calling feedback of the intelligent electric meter of the user is lower than the power failure voltage value of the user and the voltage value of the last calling feedback of the intelligent electric meter of the user is not lower than the power failure voltage value of the user, the power failure event occurs to the user; otherwise, the user does not have a power outage event.
Further, the determining process of the power outage of the station area includes:
if the intelligent fusion terminal of the transformer area has a power failure and the sudden drop proportion of the distribution transformer outgoing line current before and after the power failure of the intelligent fusion terminal of the transformer area exceeds a preset percentage, the transformer area has a power failure; otherwise, the station area is not powered off.
Further, the determining process of the phase line outage of the power transmission line connected by the smart meter of the user includes:
If the intelligent fusion terminal of the transformer area is not powered off and the current effective value of the phase line at the moment when the transformer area intelligent fusion terminal is matched with the transformer outlet switch to open the brake exceeds a preset percentage in comparison with the current effective value of the phase line at the moment before the brake is opened, or the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality exceeds a preset percentage in comparison with the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality starts to trace back to the second moment, the phase line is powered off, otherwise, the phase line is not powered off.
Specifically, the moment when the users with the power failure event recover to supply power is the moment when the voltage value of the last calling feedback of the intelligent ammeter of the user with the power failure event is higher than the power-on voltage value of the user;
the power-off time recorded by the intelligent electric meter is the time when the intelligent electric meter detects that the voltage of the phase line connected with the power transmission line is lower than the power-off voltage value of the user and higher than the power-on voltage value of the user.
Specifically, after the judging whether the power failure event occurs to each user in the platform area, the method includes:
And feeding back the user with the power failure event and the user with abnormal intelligent ammeter call to the master station.
Specifically, after the power failure duration of the user who has the power failure event is calculated, the method further includes:
And feeding back the power failure time length of the user with the power failure event and the information of recovering the power supply of the user with the power failure event to the master station.
Example 3:
The intelligent fusion terminal of the transformer area is arranged in a distribution room, a box-type transformer substation or a post comprehensive distribution box, intelligent ammeter data is accessed into the intelligent fusion terminal of the transformer area through an RS485 protocol, the transmission protocol is MQTT, and the invention is adopted to research the power-on stopping condition in the transformer area, and specifically comprises the following steps:
step S1, counting the number of intelligent electric meters in a station area, and calculating the maximum intelligent electric meter number n capable of transmitting information at the same time under the condition that communication is not blocked;
step S2, intelligent electric meters of users in the platform area are batched according to a batched principle;
the batch principle is formulated on the basis of considering the maximum intelligent electric meter number n capable of transmitting information at the same time under the condition of no communication blockage, the geographic position of the intelligent electric meter in the station area and the phase line connected with the intelligent electric meter in the station area;
the batch principle is as follows:
Each batch of intelligent electric meters consists of intelligent electric meters connected with each phase line, and the quantity of the intelligent electric meters connected with each phase line is similar (within +/-1 of each phase difference);
The number of each batch of intelligent electric meters is not more than the maximum intelligent electric meter number n capable of transmitting information simultaneously under the condition of no communication blockage;
In each batch of intelligent electric meters, the lengths of the lines of the intelligent electric meters with the same connecting phase lines are similar (not more than 200 meters).
Step S3, the intelligent fusion terminal of the platform area carries out calling measurement on the voltage of each batch of intelligent electric meters in turn; the collection information of the same batch of intelligent electric meters is called up at the same time;
Step S4, determining whether each user has a power failure event in the polling period based on the calling condition; one polling period can finish one-time calling of all intelligent electric meters in the platform area;
The method specifically comprises the following steps:
step S4-1, defining the longest waiting time from calling information sending to information returning to TMAX each time, when calling the information of the intelligent electric meter of the user, if the information returned by the intelligent electric meter exists in the TMAX time, the last calling voltage of the intelligent electric meter is normal, and the calling voltage of the current time is less than 0.1p.u., judging that the user has a power failure event;
If no information is returned in TMAX time, recording abnormal calling of the intelligent electric meter of the user, and if power failure of the station area or power failure of a phase line of the intelligent electric meter connected with the power transmission line occurs, modifying the abnormal calling of the intelligent electric meter of the user into a power failure event of the user;
Other cases determine that the user has not had a power outage event.
The method for judging the power failure of the platform area comprises the following steps:
when the intelligent fusion terminal of the transformer area is powered off, detecting the power distribution outlet current change before and after the power failure of the intelligent fusion terminal of the transformer area, and judging that the transformer area is powered off if the power failure is 80% suddenly.
The method for judging the phase line outage of the intelligent ammeter connected with the power transmission line of the user comprises the following steps:
if the intelligent fusion terminal of the transformer area is powered on, when the distribution transformer outlet switch is collected from switching on to switching off, the current effective value before switching off and after switching off the phase line for 2s is obtained, and if 80% of the current is suddenly reduced, the phase line is judged to have a power failure.
And when the distribution transformer outlet switch action is not acquired, acquiring the current effective value of each phase line when the intelligent ammeter of the user is judged to be abnormal before the intelligent ammeter of the user is judged to be abnormal for 5 minutes, and judging that the phase line is powered off if 80% of the current effective value is suddenly reduced.
S4-2, reporting the user with the calling abnormal event and the power failure event to a master station;
and when the intelligent ammeter connected with a certain phase line of the power transmission line has not less than 3 abnormal calling states in one polling period, the master station sends out a power failure alarm.
In the embodiment of the invention, if no user has a power failure event, the user with abnormal calling of the intelligent ammeter and the detection result of the station area are reported to the master station.
Step S5: the power failure time length statistics specifically comprises the following steps:
s5-1, identifying whether a user with a power failure event in a platform area is completely electrified or not through logic judgment of calling information;
S5-2, carrying out the call of the power-off event at the moment of complete power-on, and carrying out accurate power-off duration calculation of the users in the current transformer area;
And S5-3, reporting the power failure time of the user with the power failure event and the information of the user with the power failure event for recovering the power supply to the master station.
In the embodiment of the invention, when the intelligent electric energy of the user detects that the voltage of a phase line which is communicated with the power transmission line is smaller than 0.1p.u. (p.u is a per unit value), the intelligent electric energy of the user judges that the user has a power failure event and takes the power failure event as the power failure moment of the user to store;
The intelligent electric energy of the user detects that the voltage of a phase line which is communicated with the power transmission line exceeds 0.8p.u., the intelligent electric energy of the user judges that the user has a power-on event, and the power-on event is taken as the power-on moment of the user to be stored.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (7)
1. A method for sensing power failure of a user in a platform area based on an intelligent internet of things agent is characterized by comprising the following steps:
Carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
Judging whether power failure events occur to all users in the platform area by using the calling feedback of the intelligent ammeter of all users in the platform area;
when a power failure event occurs to a user in the station area, at the moment when the power failure event occurs to the user, the power failure event is recovered, the power failure time recorded by the intelligent ammeter of the user with the power failure event is called up, and the power failure time of the user with the power failure event is calculated;
The method for carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area comprises the following steps:
Based on a batch principle, carrying out batch on the intelligent electric meters of the users in the platform area;
Carrying out calling on the voltage values of all batches of intelligent electric meters in turn;
the batch principle includes the following simultaneously:
the total number of the intelligent electric meters contained in each batch of intelligent electric meters is not more than the maximum intelligent electric meter number which can simultaneously allow information transmission under the condition that communication is not blocked;
Each batch of intelligent electric meters consists of intelligent electric meters connected with each phase line of the power transmission line, and the total number of the intelligent electric meters connected with each phase line of the power transmission line is different by no more than a preset number;
The length of the power transmission line between the intelligent electric meters connected with the same phase line of the power transmission line in each batch of intelligent electric meters does not exceed the preset length;
The method for judging whether the power failure event occurs to each user in the platform area by using the calling feedback of the intelligent ammeter of each user in the platform area comprises the following steps:
if the calling feedback of the intelligent ammeter of the user is not received within a preset period after the calling instruction is sent, the abnormal calling of the intelligent ammeter of the user is confirmed; otherwise, the intelligent ammeter of the user is determined to be called without abnormality;
If the abnormal calling of the intelligent electric meter of the user occurs simultaneously with the power failure of the station area or the power failure of the phase line of the power transmission line connected with the intelligent electric meter of the user, or if the voltage value fed back by the calling of the intelligent electric meter of the user is lower than the power failure voltage value of the user and the voltage value fed back by the last calling of the intelligent electric meter of the user does not lower than the power failure voltage value of the user, the user has a power failure event; otherwise, the user does not have a power outage event.
2. The method of claim 1, wherein the determining of the power outage for the station comprises:
if the intelligent fusion terminal of the transformer area has a power failure and the sudden drop proportion of the distribution transformer outgoing line current before and after the power failure of the intelligent fusion terminal of the transformer area exceeds a preset percentage, the transformer area has a power failure; otherwise, the station area is not powered off.
3. The method of claim 1, wherein the determining of the phase line outage of the smart meter connection power line of the user comprises:
If the intelligent fusion terminal of the transformer area is not powered off and the current effective value of the phase line at the moment when the transformer area intelligent fusion terminal is matched with the transformer outlet switch to open the brake exceeds a preset percentage in comparison with the current effective value of the phase line at the moment before the brake is opened, or the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality exceeds a preset percentage in comparison with the current effective value of the phase line at the moment when the intelligent ammeter of the user is identified as the calling abnormality starts to trace back to the second moment, the phase line is powered off, otherwise, the phase line is not powered off.
4. The method of claim 1, wherein the time when the power failure event user resumes power supply is the time when the voltage value of the last recall feedback of the smart meter of the power failure event user is higher than the power-on voltage value of the user;
the power-off time recorded by the intelligent electric meter is the time when the intelligent electric meter detects that the voltage of the phase line connected with the power transmission line is lower than the power-off voltage value of the user and higher than the power-on voltage value of the user.
5. The method of claim 1, wherein the determining whether the power outage event occurs for each user in the area comprises:
And feeding back the user with the power failure event and the user with abnormal intelligent ammeter call to the master station.
6. The method of claim 1, wherein after calculating the power outage duration for the user having the power outage event, further comprising:
And feeding back the power failure time length of the user with the power failure event and the information of recovering the power supply of the user with the power failure event to the master station.
7. An intelligent internet of things agent-based power outage sensing system for a user of a platform, the system comprising:
The batch polling and calling module is used for carrying out batch polling and calling on the voltage value of the intelligent ammeter of the user in the platform area;
The judging module is used for judging whether the power failure event occurs to each user in the platform area by using the calling feedback of the intelligent ammeter of each user in the platform area;
The computing module is used for calling the power-off time recorded by the intelligent ammeter of the user with the power-off event and computing the power-off time of the user with the power-off event at the time when the power-off event occurs to the user in the platform area and the power-off time of the user with the power-off event is recovered;
the batch polling module comprises:
the batch unit is used for carrying out batch on the intelligent electric meters of the users in the platform area based on a batch principle;
The calling unit is used for calling the voltage values of all batches of intelligent electric meters in turn;
the batch principle includes the following simultaneously:
the total number of the intelligent electric meters contained in each batch of intelligent electric meters is not more than the maximum intelligent electric meter number which can simultaneously allow information transmission under the condition that communication is not blocked;
Each batch of intelligent electric meters consists of intelligent electric meters connected with each phase line of the power transmission line, and the total number of the intelligent electric meters connected with each phase line of the power transmission line is different by no more than a preset number;
The length of the power transmission line between the intelligent electric meters connected with the same phase line of the power transmission line in each batch of intelligent electric meters does not exceed the preset length;
The research and judgment module comprises:
the identifying unit is used for identifying abnormal calling of the intelligent ammeter of the user if calling feedback of the intelligent ammeter of the user is not received within a preset period after the calling instruction is sent; otherwise, the intelligent ammeter of the user is determined to be called without abnormality;
The power failure event judging unit is used for judging whether the calling abnormality of the intelligent electric meter of the user occurs simultaneously with the power failure of the station or the power failure of the phase line of the power transmission line connected with the intelligent electric meter of the user, or if the voltage value of the calling feedback of the intelligent electric meter of the user is lower than the power failure voltage value of the user and the voltage value of the last calling feedback of the intelligent electric meter of the user is not lower than the power failure voltage value of the user, the power failure event occurs to the user; otherwise, the user does not have a power outage event.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101324637A (en) * | 2008-07-24 | 2008-12-17 | 武汉钢铁(集团)公司 | Remote measurement and analysis system |
| JP2014150647A (en) * | 2013-01-31 | 2014-08-21 | Chugoku Electric Power Co Inc:The | Power failure section determining system |
| CN106483406A (en) * | 2016-09-30 | 2017-03-08 | 国家电网公司 | A kind of method of low-voltage power client's outage information data acquisition |
| WO2018134881A1 (en) * | 2017-01-17 | 2018-07-26 | 三菱電機株式会社 | Communication device, meter-reading system, and power outage notification method |
| CN108732977A (en) * | 2018-08-30 | 2018-11-02 | 四川中电启明星信息技术有限公司 | A kind of collecting method and system |
| CN110212645A (en) * | 2019-06-20 | 2019-09-06 | 国网湖南省电力有限公司 | A kind of power information acquisition terminal power-off event report method and device |
| CN110609209A (en) * | 2019-09-23 | 2019-12-24 | 国网四川省电力公司巴中市恩阳供电分公司 | Active sensing method for power loss of distribution room based on Internet of things |
| CN210166487U (en) * | 2019-06-27 | 2020-03-20 | 四川中电启明星信息技术有限公司 | Power supply station area power failure fault warning device based on edge calculation |
| CN111007328A (en) * | 2019-10-22 | 2020-04-14 | 国网江苏省电力有限公司徐州供电分公司 | High-voltage line load monitoring system and monitoring method based on dynamic integral |
| CN111988796A (en) * | 2020-07-14 | 2020-11-24 | 江苏方天电力技术有限公司 | Dual-mode communication-based platform area information acquisition service bandwidth optimization system and method |
-
2021
- 2021-06-11 CN CN202110651871.XA patent/CN113533832B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101324637A (en) * | 2008-07-24 | 2008-12-17 | 武汉钢铁(集团)公司 | Remote measurement and analysis system |
| JP2014150647A (en) * | 2013-01-31 | 2014-08-21 | Chugoku Electric Power Co Inc:The | Power failure section determining system |
| CN106483406A (en) * | 2016-09-30 | 2017-03-08 | 国家电网公司 | A kind of method of low-voltage power client's outage information data acquisition |
| WO2018134881A1 (en) * | 2017-01-17 | 2018-07-26 | 三菱電機株式会社 | Communication device, meter-reading system, and power outage notification method |
| CN108732977A (en) * | 2018-08-30 | 2018-11-02 | 四川中电启明星信息技术有限公司 | A kind of collecting method and system |
| CN110212645A (en) * | 2019-06-20 | 2019-09-06 | 国网湖南省电力有限公司 | A kind of power information acquisition terminal power-off event report method and device |
| CN210166487U (en) * | 2019-06-27 | 2020-03-20 | 四川中电启明星信息技术有限公司 | Power supply station area power failure fault warning device based on edge calculation |
| CN110609209A (en) * | 2019-09-23 | 2019-12-24 | 国网四川省电力公司巴中市恩阳供电分公司 | Active sensing method for power loss of distribution room based on Internet of things |
| CN111007328A (en) * | 2019-10-22 | 2020-04-14 | 国网江苏省电力有限公司徐州供电分公司 | High-voltage line load monitoring system and monitoring method based on dynamic integral |
| CN111988796A (en) * | 2020-07-14 | 2020-11-24 | 江苏方天电力技术有限公司 | Dual-mode communication-based platform area information acquisition service bandwidth optimization system and method |
Non-Patent Citations (2)
| Title |
|---|
| 基于停电管理***的配电网停电研判方案;郭佩等;电力信息与通信技术;第15卷(第09期);75-79页 * |
| 智能化的停电信息采集技术;冯程程;《广西电业》;71-72页 * |
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