CN114221853B - An operation analysis system and working method of electricity consumption information collection equipment - Google Patents

Abstract

The invention discloses an operation analysis system and a working method of electricity consumption information collection equipment, and relates to the technical field of electric power metering; at present, the state analysis and processing devices of the existing electricity consumption information collection equipment are usually on site, and the site environment is complex and easy cause data loss. The present invention includes an on-site processing device and a remote processing device, and the on-site processing device and the remote processing device are connected in communication; the on-site processing device is used to obtain a section of operation data of the electricity collection equipment, extract abnormal operation data, and combine the abnormal operation data with the Comparing the stored first subsets to obtain the abnormal cause data of the equipment, and marking the same abnormal feature data compared in the first subset, and transmitting the marked abnormal feature data to the remote processing device; this technology The program data is stable, and the processing speed is fast and accurate.

Description

An operation analysis system and working method of electricity consumption information collection equipment

technical field

The invention relates to the technical field of power metering, in particular to an operation analysis system and a working method of power consumption information collection equipment.

Background technique

With the deepening of collection construction and the deepening application of collection system functions, there are higher requirements for the operation reliability and data collection quality of the collection system; Manage urgent problems.

The existing analysis system for analyzing the status of electricity information collection equipment usually stores all the data in the processing device. Since the existing processing device is usually on site, and the site environment is complex, it is easy to cause data loss. To solve this technical problem, an operation analysis system and its working method of electricity information collection equipment are proposed.

Contents of the invention

The object of the present invention is to provide an operation analysis system and a working method of an electricity consumption information collection device, so as to solve the problems raised in the above-mentioned background technology.

To achieve the above object, the present invention provides the following technical solution:

An operation analysis system for electricity information collection equipment, comprising an on-site processing device and a remote processing device, and the on-site processing device and the remote processing device are connected by communication;

The on-site processing device is used to obtain a piece of operation data of the electricity collection equipment, extract the abnormal operation data, compare the abnormal operation data with the stored first subset, obtain the abnormal cause data of the equipment, and analyze the first subset marking the same abnormal characteristic data in the collection, and transmitting the marked abnormal characteristic data to the remote processing device;

The remote processing device receives the abnormality cause data of the equipment and the marked abnormal characteristic data, counts the marking times of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set; divides the abnormal characteristic data set into It is a first subset and a second subset, the first subset includes abnormal feature data with a higher frequency than the same number of times, and the second subset includes abnormal feature data with a lower frequency than the same number of times; the first The subset data is sent to the field processing device.

As a further solution of the present invention: the on-site processing device includes a data acquisition unit, a communication unit and a processing unit;

The data collection unit is used to obtain a section of operating data of the electricity collection equipment;

a communication unit, configured to receive the first subset of data sent by the remote processing device;

The processing unit extracts the abnormal operation data according to a piece of operation data of the electrical acquisition equipment, compares the abnormal operation data with the stored first subset, obtains the cause data of the equipment abnormality, and compares the abnormal operation data in the first subset Mark the same anomaly feature data, and pass the marked anomaly feature data to .

As a further solution of the present invention: the processing unit includes an abnormality identification module and a comparison module;

The abnormality identification module extracts the abnormal operation data according to a section of operation data of the electricity collection equipment;

The comparison module compares the abnormal operation data with the stored first subset, and obtains the abnormal cause data of the equipment;

The marking module marks the compared abnormal characteristic data in the first subset, and transmits the marked abnormal characteristic data to the remote processing device. .

As a further solution of the present invention: if the abnormal operation data is compared with the stored first subset, and the equipment abnormality cause data cannot be obtained, then the unobtained equipment abnormality cause data is transmitted to the remote processing device;

Then accept the second subset delivered by the remote processing device, compare the abnormal operation data again, obtain the abnormal cause data of the equipment, and send the abnormal data to the remote processing device;

If the cause of the abnormality of the equipment cannot be obtained again, the abnormal operation data is transmitted to the remote processing device.

As a further solution of the present invention: the remote processing device includes a receiving unit, a classification unit and a classification unit;

A receiving unit, receiving device abnormal cause data and marked abnormal characteristic data;

The categorization unit counts the number of markings of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set;

The classification unit divides the abnormal feature data set into a first subset and a second subset; and sends the data of the first subset to the on-site processing device.

As a further solution of the present invention: the sending module can send the first subset of data or the second subset of data to the on-site processing device according to the request of the on-site processing device.

As a further solution of the present invention: the receiving unit can also receive abnormal operation data not recognized by the on-site processing device, and store the abnormal operation data.

The present invention provides another technical scheme as follows:

1) The remote processing device obtains a section of operating data of the electricity collection equipment;

2) The remote processing device divides the abnormal feature data set into a first subset and a second subset, the first subset includes abnormal feature data with a high frequency of comparisons, and the second subset includes the same Abnormal feature data with low frequency; sending the first subset of data to the on-site processing device;

3) The on-site processing device extracts the abnormal operation data, compares the abnormal operation data with the stored first subset, obtains the data of the cause of equipment abnormality, and compares the same abnormal characteristic data in the first subset mark;

4) The on-site processing device transmits the marked abnormal characteristic data to the remote processing device;

5) The remote processing device obtains the cause data of equipment abnormality according to the marked abnormal characteristic data, and returns to step 2) to adjust the abnormal characteristic data set, and repeats steps 2)-5) to analyze the operation of the electricity collection equipment.

As a further solution of the present invention: if the on-site processing device fails to obtain the equipment abnormality cause data when comparing the abnormal operation data with the stored first subset, then transmits the unobtained equipment abnormality cause data to the remote processing device; After receiving the information, the processing device sends the second subset to the on-site processing device;

The on-site processing device accepts the second sub-set transmitted by the remote processing device, compares the abnormal operation data again, obtains the abnormal cause data of the equipment, and sends the abnormal data to the remote processing device;

If the on-site processing device fails to obtain the cause of the abnormality of the equipment again, it will transmit the abnormal operation data to the remote processing device. When the remote processing device receives the information that the cause of the abnormality of the equipment cannot be obtained again, it will display the information and enter the abnormal processing process.

Compared with the prior art, the beneficial effect of the present invention is: by comparing the high-frequency abnormal feature data with the abnormal operation data, the problems existing in the equipment can be quickly found out, and at the same time, the database and part of the processing storage and remote processing device, thereby avoiding all data being processed on-site, thereby speeding up the rhythm of on-site data processing; by storing data such as abnormal feature sets in the remote processing device, reducing the burden on the on-site processing device and improving data processing efficiency; the remote processing device is in the On-site operation, and the on-site operation environment is uncertain, which is likely to cause data loss. The risk of data loss can be reduced by storing data in a remote processing device.

Description of drawings

FIG. 1 is a schematic structural diagram of an operation analysis system of an electricity consumption information collection device.

Fig. 2 is a schematic structural diagram of an on-site processing device in an operation analysis system of an electricity consumption information collection device.

FIG. 3 is a schematic structural diagram of a processing unit in the operation analysis system of the electricity consumption information collection device.

Fig. 4 is a schematic structural diagram of the remote processing device in the operation analysis system of the electricity consumption information collection equipment.

Fig. 5 is a schematic structural diagram of the classification unit in the operation analysis system of the electricity consumption information collection device.

Fig. 6 is a working flow chart of the operation analysis method of the electricity consumption information collection device.

In the figure: on-site processing device-1, remote processing device-2, data acquisition unit-11, communication unit-12, processing unit-13, receiving unit-21, classification unit-22, classification unit-23, abnormal identification module -131, comparison module-132, marking module-133, -34, classification module-231, sending module-232.

Detailed ways

Example 1

Please refer to Fig. 1, in Embodiment 1 of the present invention, it is a structural diagram of an operation analysis system of an electricity consumption information collection device provided by the embodiment of the present invention, including: an on-site processing device 1 and a remote processing device 2, the on-site processing The device 1 is communicatively connected with the remote processing device 2;

The on-site processing device 1 is used to obtain a section of operation data of the electricity collection equipment, extract the abnormal operation data, compare the abnormal operation data with the stored first subset, obtain the data of the cause of the equipment abnormality, and analyze the first Marking the same abnormal characteristic data in the sub-collection, and transferring the marked abnormal characteristic data to the remote processing device 2;

The abnormal feature data set is a set of abnormal data features, and each abnormal feature data corresponds to a problem cause.

The remote processing device 2 receives the device abnormality cause data and marked abnormal characteristic data, counts the marking times of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set;

Dividing the set of abnormal feature data into a first subset and a second subset, the first subset includes abnormal feature data with a high frequency of the same number of comparisons, and the second subset includes abnormalities with a low frequency of the same number of comparisons Feature data; sending the first subset of data to the on-site processing device 1;

The abnormal feature data set can be entered in advance and adjusted according to the number of times the abnormal feature data is marked.

Specifically, the present invention can quickly find out the problems existing in the equipment by comparing the high-frequency abnormal feature data with the abnormal operation data, and at the same time store the database and part of the processing in the remote processing device 2, thereby avoiding all data For on-site processing, and then speed up the rhythm of on-site data processing; by storing data such as abnormal feature sets in the remote processing device 2, the burden on the on-site processing device 1 is reduced, and the data processing efficiency is improved; the remote processing device 2 is in the on-site operation link, and There are uncertainties in the on-site operating environment, which may easily cause data loss, and the risk of data loss can be reduced by storing the data in the remote processing device 2 .

As shown in Figure 2, as a preferred embodiment of the present invention, the on-site processing device 1 includes a data acquisition unit 11, a communication unit 12 and a processing unit 13;

A data acquisition unit 11, configured to acquire a section of operating data of the power consumption acquisition device;

A communication unit 12, configured to receive the first subset of data sent by the remote processing device 2;

The processing unit 13 extracts the abnormal operation data according to a piece of operation data of the electrical acquisition equipment, compares the abnormal operation data with the stored first subset, obtains the cause data of the equipment abnormality, and analyzes the abnormal operation data in the first subset. Compare and mark the same abnormal feature data, and pass the marked abnormal feature data to 2.

As shown in Figure 3, the processing unit 13 includes an abnormality identification module 131 and a comparison module 132,

The abnormality identification module 131 extracts the abnormal operation data according to a section of operation data of the electricity collection equipment;

The comparison module 132 compares the abnormal operation data with the stored first subset, and obtains the equipment abnormal cause data;

The marking module 133 marks the compared abnormal characteristic data in the first subset, and transfers the marked abnormal characteristic data to 2 .

The comparison module 132, if the abnormal operation data is compared with the stored first subset, and the equipment abnormal cause data cannot be obtained, then the unobtained equipment abnormal cause data is transmitted to the remote processing device 2;

Then accept the second subset delivered by the remote processing device 2, compare the abnormal operation data again, obtain the abnormal cause data of the equipment, and send the abnormal data to the remote processing device 2;

Through this setting, when encountering routine problems, it can be quickly identified through the first subset. If the first subset cannot identify equipment problems, then use the second subset to solve them. This setting ensures that routine problems can be solved quickly. It is solved quickly, and it ensures that all problems can be found, and the problems are solved comprehensively and quickly.

If the cause of the abnormality of the equipment cannot be obtained again, the abnormal operation data is transmitted to the remote processing device 2 . In this way, newly discovered problems can be retained for subsequent analysis.

As shown in Figure 4, as a preferred embodiment of the present invention, the remote processing device 2 includes a receiving unit 21, a classification unit 22 and a classification unit 23;

Receiving unit 21, receiving device abnormality cause data and marked abnormal characteristic data;

The categorization unit 22 counts the marking times of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set;

The classification unit 23 divides the abnormal feature data set into a first subset and a second subset, the first subset includes abnormal feature data with a high frequency of comparisons of the same number of times, and the second subset includes data of the same number of comparisons Abnormal feature data with low frequency; send the first subset of data to the on-site processing device 1 .

As shown in Figure 5, as a preferred embodiment of the present invention, the classification unit 23 includes a classification module 231 and a sending module 232;

The classification module 231 divides the abnormal feature data set into a first subset and a second subset, and adjusts the abnormal feature data set according to the feedback signal in real time, so that the first subset and the second subset can be timely Make adjustments, so as to ensure that the latest abnormal characteristic data can be compared with the abnormal data in the electricity collection equipment, and then the problem can be quickly found.

The sending module 232 sends the first subset of data to the on-site processing device 1 .

The sending module 232 can send the first subset of data or the second subset of data to the on-site processing device 1 according to the request of the on-site processing device 1 . In this way, the data requirements of the on-site processing device 1 can be met.

The receiving unit 21 can also accept the abnormal operation data not recognized by the on-site processing device 1, and store the abnormal operation data frequently. In this way, abnormal operation data can be stored for subsequent analysis, so that each problem can be dealt with.

Example 2

As shown in Figure 4, an embodiment of the present invention also provides a method for analyzing the operation of an electricity consumption information collection device, including the following steps:

S101. Obtain a segment of operating data of the power collection device;

S102. Divide the set of abnormal feature data into a first subset and a second subset, the first subset includes abnormal feature data with a high frequency of comparisons, and the second subset includes data with a low frequency of comparisons abnormal feature data; sending the first subset of data to the on-site processing device 1;

S103, extract the abnormal operation data, compare the abnormal operation data with the stored first subset, obtain the equipment abnormality cause data, and mark the compared abnormal characteristic data in the first subset;

S104, delivering the marked abnormal feature data to the remote processing device 2;

S105. Obtain device abnormality cause data and adjust the abnormality characteristic data set according to the marked abnormality characteristic data.

It rearranges the abnormal characteristic data in the abnormal characteristic data set according to the number of times the abnormal characteristic data is marked, so as to ensure that the data can be updated in time.

In step S103, if the abnormal operation data is compared with the stored first subset, and the equipment abnormal cause data cannot be obtained, then the unobtained equipment abnormal cause data is transmitted to the remote processing device 2;

Then accept the second subset delivered by the remote processing device 2, compare the abnormal operation data again, obtain the abnormal cause data of the equipment, and send the abnormal data to the remote processing device 2;

If the cause of the abnormality of the equipment cannot be obtained again, the abnormal operation data is transmitted to the remote processing device 2 .

Through this setting, when encountering routine problems, it can be quickly identified through the first subset. If the first subset cannot identify equipment problems, then use the second subset to solve them. This setting ensures that routine problems can be solved quickly. It is solved quickly, and it ensures that all problems can be found, and the problems are solved comprehensively and quickly.

The working principle of the present invention is: by comparing the high-frequency abnormal characteristic data with the abnormal operation data, the problems existing in the equipment can be quickly found out, and at the same time, the database and part of the processing are stored in the remote processing device 2, thereby avoiding all The data are all processed on-site, thereby speeding up the rhythm of on-site data processing; by storing data such as abnormal feature sets in the remote processing device 2, the burden on the on-site processing device 1 is reduced, and the data processing efficiency is improved; the remote processing device 2 is in the on-site operation link , and there is uncertainty in the on-site operating environment, which is likely to cause data loss, and the risk of data loss is reduced by storing the data in the remote processing device 2 .

Claims (10)

1. An operation analysis system of an electricity consumption information collection device, characterized in that it comprises: an on-site processing device and a remote processing device, and the on-site processing device and the remote processing device are connected in communication; The on-site processing device is used to obtain a piece of operation data of the electricity collection equipment, extract the abnormal operation data, compare the abnormal operation data with the stored first subset, obtain the abnormal cause data of the equipment, and analyze the first subset marking the same abnormal characteristic data in the collection, and transmitting the marked abnormal characteristic data to the remote processing device; The remote processing device receives the abnormality cause data of the equipment and the marked abnormal characteristic data, counts the marking times of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set; divides the abnormal characteristic data set into The first subset of data is sent to the field processing device for a first subset of high frequencies and a second subset of low frequencies. 2. The operation analysis system of a kind of electricity consumption information acquisition equipment according to claim 1, wherein the on-site processing device comprises a data acquisition unit, a communication unit and a processing unit; The data collection unit is used to obtain a section of operating data of the electricity collection equipment; a communication unit, configured to receive the first subset of data sent by the remote processing device; The processing unit extracts the abnormal operation data according to a piece of operation data of the electrical acquisition equipment, compares the abnormal operation data with the stored first subset, obtains the cause data of the equipment abnormality, and compares the abnormal operation data in the first subset Mark the same anomaly feature data, and pass the marked anomaly feature data to . 3. The operation analysis system of a power consumption information collection device according to claim 2, wherein the processing unit includes an abnormality identification module and a comparison module; The abnormality identification module extracts the abnormal operation data according to a section of operation data of the electricity collection equipment; The comparison module compares the abnormal operation data with the stored first subset, and obtains the abnormal cause data of the equipment; The marking module marks the compared abnormal characteristic data in the first subset, and transmits the marked abnormal characteristic data to the remote processing device. 4. The operation analysis system of an electricity consumption information collection device according to claim 1, wherein if the abnormal operation data is compared with the stored first subset, the abnormal cause data of the equipment cannot be obtained, Then, the data of the cause of the abnormality of the equipment is not obtained and transmitted to the remote processing device; Then accept the second sub-set delivered by the remote processing device, compare the abnormal operation data again, obtain the abnormal cause data of the equipment, and send the abnormal data to the remote processing device; If the cause of the abnormality of the equipment cannot be obtained again, the abnormal operation data is transmitted to the remote processing device. 5. The operation analysis system of a power consumption information collection device according to claim 4, wherein the remote processing device includes a receiving unit, a classification unit and a classification unit; A receiving unit, receiving device abnormal cause data and marked abnormal characteristic data; The categorization unit counts the number of markings of the abnormal characteristic data, arranges the abnormal characteristic data according to the marking times, and adjusts the abnormal characteristic data set; The classification unit divides the abnormal feature data set into a first subset and a second subset; and sends the data of the first subset to the on-site processing device. 6. The operation analysis system of a power consumption information collection device according to claim 5, wherein the classification unit includes a classification module and a sending module; A classification module, which divides the abnormal feature data set into a first sub-set and a second sub-set; A sending module, for sending the first subset of data to the on-site processing device. 7. The operation analysis system of a power consumption information collection device according to claim 6, characterized in that the sending module can send the first subset data or the second subset data to the site according to the request of the site processing device Processing device. 8. The operation analysis system of a power consumption information collection device according to claim 7, wherein the receiving unit can also accept the abnormal operation data not identified by the on-site processing device, and analyze the abnormal operation data to store. 9. Adopt the working method of the operation analysis system of a kind of electricity consumption information collection equipment described in any one of claims 1-8, it is characterized in that, comprising the following steps: 1) The remote processing device obtains a section of operating data of the electricity collection equipment; 2) The remote processing device divides the abnormal feature data set into a first subset and a second subset, the first subset includes abnormal feature data with a high frequency of comparisons, and the second subset includes the same Abnormal feature data with low frequency; sending the first subset of data to the on-site processing device; 3) The on-site processing device extracts the abnormal operation data, compares the abnormal operation data with the stored first subset, obtains the data of the cause of equipment abnormality, and compares the same abnormal characteristic data in the first subset mark; 4) The on-site processing device transmits the marked abnormal characteristic data to the remote processing device; 5) The remote processing device obtains the cause data of equipment abnormality according to the marked abnormal characteristic data, and returns to step 2) to adjust the abnormal characteristic data set, and repeats steps 2)-5) to analyze the operation of the electricity collection equipment. 10. The working method according to claim 9, characterized in that, If the on-site processing device fails to obtain the equipment abnormality cause data when comparing the abnormal operation data with the stored first subset, it will transmit the unobtained equipment abnormality cause data to the remote processing device; after receiving the information, the remote processing device will the second subset is sent to the field processing device; The on-site processing device accepts the second sub-set transmitted by the remote processing device, compares the abnormal operation data again, obtains the abnormal cause data of the equipment, and sends the abnormal data to the remote processing device; If the on-site processing device fails to obtain the cause of the abnormality of the equipment again, it will transmit the abnormal operation data to the remote processing device. When the remote processing device receives the information that the cause of the abnormality of the equipment cannot be obtained again, it will display the information and enter the abnormal processing process.