A data processing method based on an infrared receiver of an electric meter

Abstract

The application relates to the technical field of electric meter data processing, in particular to a data processing method based on an electric meter infrared receiver. The method comprises the following steps: setting a feedback time node according to an electric meter historical operation parameter, an infrared receiver acquiring an infrared signal sent by an electric meter infrared communication module according to the feedback time node and generating a feedback signal; the infrared receiver generating a feedback data packet after converting and modulating the feedback signal; a wireless communication module sending the feedback data packet to a central control platform; and the central control platform generating an electric meter operation evaluation value according to the feedback data packet. Through the setting of the infrared receiver, the operation data of the electric meter are collected according to the preset feedback time node, the infrared signal is sent to the infrared communication module, and the data are uploaded to the wireless network after conversion and modulation, so that remote communication of the data is realized, and the collection efficiency of the electric meter data is improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of electric meter data processing, in particular to a data processing method based on an electric meter infrared receiver. BACKGROUND

[0002] With the extensive development and application of new energy, the data collection and aggregation of smart meters increase the workload of operation and maintenance personnel. Compared with users such as families and factories whose power data collection period is relatively long, photovoltaic power stations as the leader of new energy need to aggregate daily power generation to analyze the operation of the power station.

[0003] However, due to the large number of electric meters or the scattered distribution, the workload of the relevant operation and maintenance personnel collecting electric meter data is too large, and the running state of the electric meter cannot be monitored in real time. When the electric meter sends a fault, the working efficiency of the photovoltaic power station is affected. SUMMARY

[0004] The purpose of the application is to solve the above technical problems, and the application provides a data processing method based on an electric meter infrared receiver, which aims to realize fast processing of electric meter data and timely warning of electric meter faults.

[0005] In some embodiments of the application, by setting an infrared receiver, collecting the running data of the electric meter according to a preset feedback time node, and sending the infrared signal to the infrared communication module through the infrared signal, the data is uploaded to the wireless network after conversion and modulation, so as to realize remote communication of the data and improve the collection efficiency of the electric meter data.

[0006] In some embodiments of the application, by adding a first characteristic signal and a second characteristic signal, the infrared signals are received in a cycle, so as to reduce the mutual interference between the infrared signals, and the two groups of data are checked with each other to ensure the integrity of the received data.

[0007] Some embodiments of the application provide a data processing method based on an electric meter infrared receiver, which comprises:

[0008] According to the historical running parameters of the electric meter, a feedback time node is set, the infrared receiver acquires the infrared signal sent by the infrared communication module of the electric meter according to the feedback time node, and generates a feedback signal;

[0009] The infrared receiver converts and modulates the feedback signal to generate a feedback data packet, and the wireless communication module sends the feedback data packet to the central control platform;

[0010] The central control platform generates an electric meter running evaluation value according to the feedback data packet.

[0011] In some embodiments of the application, when acquiring the infrared signal sent by the infrared communication module of the electric meter, it comprises:

[0012] generate a sending instruction according to the feedback time node;

[0013] The infrared communication module continuously sends infrared signals according to the sending instruction;

[0014] A first infrared characteristic signal and a second infrared characteristic signal are preset;

[0015] The infrared receiver generates a feedback signal according to the received infrared signal.

[0016] In some embodiments of the present application, when the infrared receiver generates a feedback signal according to the received infrared signal, it includes:

[0017] When the infrared receiver acquires the first infrared characteristic signal, a storage instruction is generated, and the infrared receiver continuously stores the received infrared signal according to the storage instruction; when the second infrared characteristic signal is acquired, a verification instruction is generated;

[0018] The infrared receiver generates an initial feedback signal according to the infrared signal between the received first infrared characteristic signal and second infrared characteristic signal;

[0019] When the infrared receiver acquires the first infrared characteristic signal again, the infrared receiver continuously stores the received infrared signal according to the verification instruction; when the second infrared characteristic signal is acquired again, the receiving is stopped, and a termination instruction is sent to the infrared communication module;

[0020] A verification feedback signal is generated;

[0021] A feedback signal is generated according to the initial feedback signal and the verification feedback signal.

[0022] In some embodiments of the present application, when a feedback signal is generated according to the initial feedback signal and the verification feedback signal, it includes:

[0023] A similarity evaluation value a is generated according to the initial feedback signal and the verification feedback signal; a first similarity evaluation threshold A1 and a second similarity evaluation threshold A2 are preset, and A1

[0024] If a

[0025] If A1

[0026] If a = A2, the infrared receiver generates a feedback signal according to the current initial feedback signal.

[0027] In some embodiments of the present application, when setting the feedback time node according to the historical operation parameters of the electric meter, the following steps are included:

[0028] generating the electric meter operation duration and the historical fault times of the electric meter according to the historical operation parameters of the electric meter;

[0029] generating the operation duration evaluation value b1 according to the electric meter operation duration;

[0030] generating the electric meter fault evaluation value b2 according to the historical fault times of the electric meter;

[0031] generating the historical evaluation value b of the electric meter according to the operation duration evaluation value b1 and the electric meter fault evaluation value b2,

[0032] wherein b = m1*b1 + m2*b2, wherein n1 is a preset first weight coefficient and n2 is a preset second weight coefficient;

[0033] setting the time interval t between adjacent feedback time nodes according to the historical evaluation value b of the electric meter.

[0034] In some embodiments of the present application, when setting the time interval t between adjacent feedback time nodes, the following steps are included:

[0035] presetting the historical evaluation value matrix B of the electric meter and setting B (B1, B2, B3, B4), wherein B1 is a preset first historical evaluation value of the electric meter, B2 is a preset second historical evaluation value of the electric meter, B3 is a preset third historical evaluation value of the electric meter, and B4 is a preset fourth historical evaluation value of the electric meter, and B1 < B2 < B3 < B4;

[0036] presetting the time interval matrix T and setting T (T1, T2, T3, T4), wherein T1 is a preset first time interval, T2 is a preset second time interval, T3 is a preset third time interval, and T4 is a preset fourth time interval, and T1 < T2 < T3 < T4;

[0037] if B1 < b < B2, setting the time interval t as the preset first time interval T1, i.e. t = T1;

[0038] if B2 < b < B3, setting the time interval t as the preset second time interval T2, i.e. t = T2;

[0039] if B3 < b < B4, setting the time interval t as the preset third time interval T3, i.e. t = T3;

[0040] if b > B4, setting the time interval t as the preset fourth time interval T4, i.e. t = T4.

[0041] In some embodiments of the present application, when the infrared receiver converts and modulates the feedback signal to generate the feedback data packet, the following steps are included:

[0042] filtering and gain amplification processing is performed on the feedback signal;

[0043] converted into RS232 signals or RS485 signals through pulse width modulation or pulse time modulation;

[0044] generating an initial feedback data packet;

[0045] generating a time tag according to a current feedback time node;

[0046] generating a feedback data packet according to the time tag and the initial feedback data packet.

[0047] In some embodiments of the present application, when the central control platform generates a meter operation evaluation value according to the feedback data packet, it includes:

[0048] establishing an operation parameter monitoring sequence C according to a time tag in the feedback data packet, C=(c1, c2…cn), where n is the number of feedback nodes and c is a meter operation parameter; n

[0049] generating an operation fluctuation variance and an abnormal node number according to the monitoring sequence;

[0050] generating an operation fluctuation evaluation value d according to the fluctuation variance;

[0051] generating a meter fault risk evaluation value f according to the abnormal node number;

[0052] generating a meter operation evaluation value g according to the fluctuation evaluation value d and the meter fault risk evaluation value f;

[0053] g=m3*d+m4*f, where m3 is a preset third weight coefficient and m4 is a preset fourth weight coefficient.

[0054] In some embodiments of the present application, when the operation fluctuation evaluation value d1 is generated according to the fluctuation variance, it includes:

[0055] generating an operation parameter average value c according to the monitoring sequence C;

[0056] generating a fluctuation variance e according to the operation parameter average value;

[0057] setting a fluctuation variance matrix E, setting E(E1, E2, E3, E4), where E1 is a preset first fluctuation variance, E2 is a preset second fluctuation variance, E3 is a preset third fluctuation variance, and E4 is a preset fourth fluctuation variance, and E1<E2<E3<E4;

[0058] ​A preset fluctuation evaluation value matrix D is set as D (D1, D2, D3, D4), wherein D1 is a preset first fluctuation evaluation value, D2 is a preset second fluctuation evaluation value, D3 is a preset third fluctuation evaluation value, and D4 is a preset fourth fluctuation evaluation value, and D1 < D2 < D3 < D4;

[0059] If E1 < e < E2, the fluctuation evaluation value d is set as the preset first fluctuation evaluation value D1, that is, d = D1;

[0060] If E2 < e < E3, the fluctuation evaluation value d is set as the preset second fluctuation evaluation value D2, that is, d = D2;

[0061] If E3 < e < E4, the fluctuation evaluation value d is set as the preset third fluctuation evaluation value D3, that is, d = D3;

[0062] If e > E4, the fluctuation evaluation value d is set as the preset fourth fluctuation evaluation value D4, that is, d = D4.

[0063] In some embodiments of the present application, when the electric meter fault risk evaluation value f is generated according to the number of abnormal nodes, the following steps are included:

[0064] A preset abnormal node number matrix K is set as K (K1, K2, K3, K4), wherein K1 is a preset first abnormal node number, K2 is a preset second abnormal node number, K3 is a preset third abnormal node number, and K4 is a preset fourth abnormal node number, and K1 < K2 < K3 < K4;

[0065] A preset fault risk evaluation value matrix F is set as F (F1, F2, F3, F4), wherein F1 is a preset first fault risk evaluation value, F2 is a preset second fault risk evaluation value, F3 is a preset third fault risk evaluation value, and F4 is a preset fourth fault risk evaluation value, and F1 < F2 < F3 < F4;

[0066] The number of abnormal nodes k is obtained;

[0067] If K1 < k < K2, the electric meter fault risk evaluation value f is set as the preset first fault risk evaluation value F1, that is, f = F1;

[0068] If K2 < k < K3, the electric meter fault risk evaluation value f is set as the preset second fault risk evaluation value F2, that is, f = F2;

[0069] If K3 < k < K4, the electric meter fault risk evaluation value f is set as the preset third fault risk evaluation value F3, that is, f = F3;

[0070] If k > K4, the electric meter fault risk evaluation value f is set as the preset fourth fault risk evaluation value F4, that is, f = F4.

[0071] Compared with the prior art, the data processing method based on the infrared receiver of the electric meter has the beneficial effects that:

[0072] By arranging the infrared receiver, collecting the operation data of the electric meter according to the preset feedback time node, and transmitting the infrared signal to the infrared communication module, and then uploading the wireless network after conversion and modulation, the remote communication of the data is realized, and the collection efficiency of the electric meter data is improved.

[0073] By additionally arranging the first characteristic signal and the second characteristic signal, the infrared signals are cyclically received, so as to reduce the mutual interference between the infrared signals, and the two groups of data are mutually checked, so as to ensure the integrity of the received data. BRIEF DESCRIPTION OF DRAWINGS

[0074] Figure 1 is a flowchart of the data processing method based on the infrared receiver of the electric meter in the preferred embodiment of the application. DETAILED DESCRIPTION

[0075] The specific embodiments of the application will be further described in detail below with reference to the drawings and embodiments. The following embodiments are used to illustrate the application, but not to limit the scope of the application.

[0076] In the description of the application, it should be understood that the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the application.

[0077] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0078] In the description of the application, it should be noted that, unless otherwise specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be direct connection, or indirect connection through an intermediate medium, or the communication between the two elements. For those skilled in the art, the specific meaning of the above terms in the application can be understood according to the specific circumstances.

[0079] As Figure 1 shown, a data processing method based on an infrared receiver of an electric meter according to an embodiment of the present application comprises:

[0080] S101: Setting a feedback time node according to historical operation parameters of the electric meter, and the infrared receiver acquires an infrared signal sent by an infrared communication module of the electric meter according to the feedback time node and generates a feedback signal;

[0081] S102: The infrared receiver generates a feedback data packet after converting and modulating the feedback signal, and a wireless communication module sends the feedback data packet to a central control platform;

[0082] S103: The central control platform generates an electric meter operation evaluation value according to the feedback data packet.

[0083] Specifically, when acquiring the infrared signal sent by the infrared communication module of the electric meter, it comprises:

[0084] Generating a sending instruction according to the feedback time node;

[0085] The infrared communication module continuously sends the infrared signal according to the sending instruction;

[0086] A first infrared characteristic signal and a second infrared characteristic signal are preset;

[0087] The infrared receiver generates a feedback signal according to the received infrared signal.

[0088] Specifically, the first infrared characteristic signal is a start signal, that is, when the infrared receiver receives the first infrared characteristic signal, it starts to store the subsequent signal, and the second infrared characteristic signal is an end signal, and the infrared signal between the start signal and the end signal is an infrared signal carrying electric meter data.

[0089] Specifically, when the infrared receiver generates a feedback signal according to the received infrared signal, it comprises:

[0090] When the infrared receiver acquires the first infrared characteristic signal, a storage instruction is generated, and the infrared receiver continuously stores the received infrared signal according to the storage instruction, and when the second infrared characteristic signal is acquired, a verification instruction is generated;

[0091] The infrared receiver generates an initial feedback signal according to the infrared signal between the received first infrared characteristic signal and the second infrared characteristic signal;

[0092] When the infrared receiver acquires the first infrared characteristic signal again, the infrared receiver continuously stores the received infrared signal according to the verification instruction, and when the second infrared characteristic signal is acquired again, the receiving is stopped and a termination instruction is sent to the infrared communication module;

[0093] A verification feedback signal is generated;

[0094] The feedback signal is generated according to the initial feedback signal and the verification feedback signal.

[0095] Specifically, when the feedback signal is generated according to the initial feedback signal and the verification feedback signal, the following is included:

[0096] A similarity evaluation value a is generated according to the initial feedback signal and the verification feedback signal.

[0097] A first similarity evaluation value threshold A1 and a second similarity evaluation value threshold A2 are preset, where A1

[0098] If a

[0099] If A1

[0100] If a = A2, the infrared receiver generates the feedback signal according to the current initial feedback signal.

[0101] Specifically, the second similarity evaluation value threshold is 100%, that is, the initial feedback signal and the verification feedback signal are completely identical, at this time, any one of the signals is selected as the feedback signal.

[0102] Specifically, when there is a small difference between the initial feedback signal and the verification feedback signal, data fusion correction is performed to generate the feedback signal.

[0103] Specifically, when the two groups of received data are significantly different, the data needs to be received again, and the receiving process also needs to receive two groups of data.

[0104] It can be understood that in the above embodiment, by adding the first characteristic signal and the second characteristic signal, the infrared signals are received in a cycle, thereby reducing the mutual interference between the infrared signals, and the two groups of data are cross-checked to ensure the integrity of the received data.

[0105] In the preferred embodiment of the present application, when the feedback time node is set according to the historical operation parameters of the electric meter, the following is included:

[0106] The electric meter operation duration and the historical fault number of the electric meter are generated according to the historical operation parameters of the electric meter.

[0107] The operation duration evaluation value b1 is generated according to the electric meter operation duration.

[0108] The electric meter fault evaluation value b2 is generated according to the historical fault number of the electric meter.

[0109] The electric meter historical evaluation value b is generated according to the operation duration evaluation value b1 and the electric meter fault evaluation value b2.

[0110] wherein b=m1*b1+m2*b2, wherein n1 is a preset first weight coefficient, and n2 is a preset second weight coefficient;

[0111] The time interval t between adjacent feedback time nodes is set according to the historical running evaluation value b of the electric meter.

[0112] Specifically, when setting the time interval t between adjacent feedback time nodes, the following is included:

[0113] A preset electric meter historical evaluation value matrix B is set as B (B1, B2, B3, B4), wherein B1 is a preset first electric meter historical evaluation value, B2 is a preset second electric meter historical evaluation value, B3 is a preset third electric meter historical evaluation value, and B4 is a preset fourth electric meter historical evaluation value, and B1

[0114] A preset time interval matrix T is set as T (T1, T2, T3, T4), wherein T1 is a preset first time interval, T2 is a preset second time interval, T3 is a preset third time interval, and T4 is a preset fourth time interval, and T1

[0115] If B1

[0116] If B2

[0117] If B3

[0118] If b

[0119] Specifically, the running time of the electric meter refers to the time interval between the start of the running of the electric meter and the current feedback time node, and the historical fault times of the electric meter refer to the number of faults that have occurred between the start of the running of the electric meter and the current time node.

[0120] Specifically, a running time-running time evaluation value correspondence table is established according to the historical running data of the electric meter, and the longer the running time of the electric meter, the lower the corresponding running time evaluation value. A fault times-fault evaluation value correspondence table is established, and the more the fault times, the lower the electric meter fault evaluation value. Thus, the running time evaluation value and the electric meter fault evaluation value are generated, and the running time evaluation value and the electric meter fault evaluation value have the same value range.

[0121] In the preferred embodiment of the present application, when the infrared receiver converts and modulates the feedback signal to generate a feedback data packet, the following is included:

[0122] Filtering and gain amplifying the feedback signal;

[0123] Converting into RS232 signal or RS485 signal through pulse width modulation or pulse time modulation;

[0124] Generating an initial feedback data packet;

[0125] Generating a time label according to the current feedback time node;

[0126] Generating a feedback data packet according to the time label and the initial feedback data packet.

[0127] Specifically, the feedback signal contains the running parameters and the meter data of the meter. The infrared signal is sent to the infrared communication module, and after conversion and modulation, it is uploaded to the wireless network, so as to realize remote communication of data and improve the collection efficiency of meter data.

[0128] Specifically, when the central control platform generates the meter running evaluation value according to the feedback data packet, it includes:

[0129] According to the time label in the feedback data packet, a running parameter monitoring sequence C is established, C=(c1, c2…cn), where n is the number of feedback nodes, and c is the running parameter of the meter. n

[0130] According to the monitoring sequence, a running fluctuation variance and an abnormal node number are generated;

[0131] According to the fluctuation variance, a running fluctuation evaluation value d is generated;

[0132] According to the abnormal node number, a meter fault risk evaluation value f is generated;

[0133] According to the fluctuation evaluation value d and the meter fault risk evaluation value f, a meter running evaluation value g is generated;

[0134] g=m3*d+m4*f, where m3 is a preset third weight coefficient, and m4 is a preset fourth weight coefficient.

[0135] Specifically, the running parameter refers to the characteristic parameter of the meter in the running process, which can be selected according to the historical running parameters of the meter. In normal state, the running parameter should fluctuate in a safe interval. If the running parameter of the current feedback time node is not in the safe interval, it is marked as an abnormal node.

[0136] Specifically, the meter fault risk evaluation value and the fluctuation evaluation value have the same value range.

[0137] ​Specifically, the higher the meter operation evaluation value is, the greater the possibility of the current meter sending a fault is, when the meter operation evaluation value exceeds a certain threshold, a maintenance instruction is generated, the meter fault risk is promptly investigated, and the working efficiency of the photovoltaic power station is avoided from being affected.

[0138] Specifically, when the running fluctuation evaluation value d1 is generated according to the fluctuation variance, it includes:

[0139] The running parameter average value c is generated according to the monitoring sequence C;

[0140] The fluctuation variance e is generated according to the running parameter average value;

[0141] The fluctuation variance matrix E is set, E (E1, E2, E3, E4) is set, wherein E1 is a preset first fluctuation variance, E2 is a preset second fluctuation variance, E3 is a preset third fluctuation variance, E4 is a preset fourth fluctuation variance, and E1 < E2 < E3 < E4;

[0142] The fluctuation evaluation value matrix D is preset, D (D1, D2, D3, D4) is set, wherein D1 is a preset first fluctuation evaluation value, D2 is a preset second fluctuation evaluation value, D3 is a preset third fluctuation evaluation value, D4 is a preset fourth fluctuation evaluation value, and D1 < D2 < D3 < D4;

[0143] If E1 < e < E2, the fluctuation evaluation value d is set as the preset first fluctuation evaluation value D1, that is, d = D1;

[0144] If E2 < e < E3, the fluctuation evaluation value d is set as the preset second fluctuation evaluation value D2, that is, d = D2;

[0145] If E3 < e < E4, the fluctuation evaluation value d is set as the preset third fluctuation evaluation value D3, that is, d = D3;

[0146] If e > E4, the fluctuation evaluation value d is set as the preset fourth fluctuation evaluation value D4, that is, d = D4.

[0147] Specifically, when the meter fault risk evaluation value f is generated according to the number of abnormal nodes, it includes:

[0148] The abnormal node number matrix K is preset, K (K1, K2, K3, K4) is set, wherein K1 is a preset first abnormal node number, K2 is a preset second abnormal node number, K3 is a preset third abnormal node number, K4 is a preset fourth abnormal node number, and K1 < K2 < K3 < K4;

[0149] A preset fault risk evaluation value matrix F is set as F (F1, F2, F3, F4), wherein F1 is a preset first fault risk evaluation value, F2 is a preset second fault risk evaluation value, F3 is a preset third fault risk evaluation value, and F4 is a preset fourth fault risk evaluation value, and F1 < F2 < F3 < F4;

[0150] An abnormal node number k is acquired;

[0151] If K1 < k < K2, the electric meter fault risk evaluation value f is set as the preset first fault risk evaluation value F1, that is, f = F1;

[0152] If K2 < k < K3, the electric meter fault risk evaluation value f is set as the preset second fault risk evaluation value F2, that is, f = F2;

[0153] If K3 < k < K4, the electric meter fault risk evaluation value f is set as the preset third fault risk evaluation value F3, that is, f = F3;

[0154] If k > K4, the electric meter fault risk evaluation value f is set as the preset fourth fault risk evaluation value F4, that is, f = F4.

[0155] It can be understood that in the above embodiment, the electric meter operation evaluation value is generated by generating the fluctuation evaluation value and the electric meter fault risk evaluation value and setting the corresponding weight coefficient, so as to evaluate the operation state of the electric meter, realize real-time monitoring of the operation state of the electric meter, timely eliminate the fault risk of the electric meter, and ensure the working efficiency of the photovoltaic power station.

[0156] According to the first concept of the present application, the operation data of the electric meter is collected according to the preset feedback time node by setting the infrared receiver, and is sent to the infrared communication module through the infrared signal, and is uploaded to the wireless network after conversion and modulation, so as to realize remote communication of data and improve the collection efficiency of electric meter data.

[0157] According to the second concept of the present application, the first characteristic signal and the second characteristic signal are additionally arranged, the infrared signals are received in cycles, so as to reduce the mutual interference between the infrared signals, and the two groups of data are cross-checked to ensure the integrity of the received data.

[0158] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, some improvements and replacements can be made without departing from the technical principles of the present application, and these improvements and replacements should also be regarded as the protection range of the present application.

Claims

1. A data processing method based on an electric meter infrared receiver, characterized in that, The utility model relates to an electric meter running evaluation system and method, and more particularly to an electric meter running evaluation system and method based on infrared communication. The system comprises: According to the feedback time node of electric meter historical operation parameter setting, infrared receiver obtains the infrared signal of electric meter infrared communication module transmission according to the feedback time node, and generates feedback signal; Infrared receiver converts feedback signal modulation and generates feedback data packet, and wireless communication module sends the feedback data packet to central control platform; Central control platform generates electric meter running evaluation value according to the feedback data packet; When obtaining the infrared signal of electric meter infrared communication module transmission, it comprises: According to the feedback time node generation sending instruction; The infrared communication module continuously sends infrared signal according to the sending instruction; Pre-set first infrared characteristic signal and second infrared characteristic signal; The infrared receiver generates feedback signal according to the received infrared signal; When the infrared receiver obtains the first infrared characteristic signal, generates storage instruction, and the infrared receiver continuously stores the received infrared signal according to the storage instruction, when the second infrared characteristic signal is obtained, generates verification instruction; The infrared receiver generates initial feedback signal according to the infrared signal between the received first infrared characteristic signal and second infrared characteristic signal; When the infrared receiver obtains the first infrared characteristic signal again, the infrared receiver continuously stores the received infrared signal according to the verification instruction, when the second infrared characteristic signal is obtained again, stops receiving, and sends the termination instruction to the infrared communication module; Generate verification feedback signal; According to the initial feedback signal and the verification feedback signal, a similarity evaluation value a is generated; Pre-set first similarity evaluation value threshold A1 and second similarity evaluation value threshold A2, wherein A1 If a If A1 2. The data processing method based on the electric meter infrared receiver according to claim 1, characterized by, If a=A2, the infrared receiver generates feedback signal according to the current initial feedback signal. When setting the feedback time node according to the electric meter historical operation parameter, it comprises: According to the electric meter historical operation parameter, the electric meter running duration and the electric meter historical fault times are generated; According to the electric meter running duration, a running duration evaluation value b1 is generated; According to the electric meter historical fault times, an electric meter fault evaluation value b2 is generated; According to the running duration evaluation value b1 and the electric meter fault evaluation value b2, an electric meter historical evaluation value b is generated, Wherein, b=m1*b1+m2*b2, wherein n1 is a preset first weight coefficient, and n2 is a preset second weight coefficient; 3. The data processing method based on an electric meter infrared receiver according to claim 2, characterized in that, According to the electric meter historical evaluation value b, the time interval t between adjacent feedback time nodes is set. When setting the time interval t between adjacent feedback time nodes, it comprises: Pre-set electric meter historical evaluation value matrix B, set B (B1, B2, B3, B4), wherein B1 is a preset first electric meter historical evaluation value, B2 is a preset second electric meter historical evaluation value, B3 is a preset third electric meter historical evaluation value, B4 is a preset fourth electric meter historical evaluation value, and B1 A preset time interval matrix T is set, and T (T1, T2, T3, T4) is set, wherein T1 is a preset first time interval, T2 is a preset second time interval, T3 is a preset third time interval, and T4 is a preset fourth time interval, and T1 If B1 If B2 If B3 If B3 4. The data processing method based on the electric meter infrared receiver according to claim 3, characterized by, If b When the infrared receiver converts and modulates the feedback signal to generate a feedback data packet, the following steps are included: Filtering and gain amplification processing are performed on the feedback signal; Through pulse width modulation or pulse time modulation demodulation, RS232 signals or RS485 signals are converted; An initial feedback data packet is generated; A time tag is generated according to the current feedback time node; 5. The data processing method based on the electric meter infrared receiver according to claim 4, characterized by, A feedback data packet is generated according to the time tag and the initial feedback data packet. A running parameter monitoring sequence C is established according to the time tag in the feedback data packet, C=(c1, c2…cn), wherein n is the number of feedback nodes, and c is the running parameter of the electric meter. n ) When the central control platform generates a meter operation evaluation value according to the feedback data packet, the following steps are included: A running fluctuation variance and an abnormal node number are generated according to the monitoring sequence; A running fluctuation evaluation value d is generated according to the fluctuation variance; A meter fault risk evaluation value f is generated according to the abnormal node number; A meter operation evaluation value g is generated according to the fluctuation evaluation value d and the meter fault risk evaluation value f; 6. The data processing method based on the electric meter infrared receiver according to claim 5, wherein, g = m3 * d + m4 * f, wherein m3 is a preset third weight coefficient, and m4 is a preset fourth weight coefficient. When the fluctuation variance is generated according to the fluctuation variance, the following steps are included: A running parameter average value c is generated according to the monitoring sequence C; A fluctuation variance e is generated according to the running parameter average value; A fluctuation variance matrix E is set, and E (E1, E2, E3, E4) is set, wherein E1 is a preset first fluctuation variance, E2 is a preset second fluctuation variance, E3 is a preset third fluctuation variance, and E4 is a preset fourth fluctuation variance, and E1 A fluctuation evaluation value matrix D is set, and D (D1, D2, D3, D4) is set, wherein D1 is a preset first fluctuation evaluation value, D2 is a preset second fluctuation evaluation value, D3 is a preset third fluctuation evaluation value, and D4 is a preset fourth fluctuation evaluation value, and D1 If E1 If E2 If E3 7. The data processing method based on the electric meter infrared receiver according to claim 6, characterized by, If e If e When the meter fault risk evaluation value f is generated according to the abnormal node number, the following steps are included: A preset abnormal node quantity matrix K is set as K (K1, K2, K3, K4), wherein K1 is a preset first abnormal node quantity, K2 is a preset second abnormal node quantity, K3 is a preset third abnormal node quantity, and K4 is a preset fourth abnormal node quantity, and K1 < K2 < K3 < K4; A preset fault risk evaluation value matrix F is set as F (F1, F2, F3, F4), wherein F1 is a preset first fault risk evaluation value, F2 is a preset second fault risk evaluation value, F3 is a preset third fault risk evaluation value, and F4 is a preset fourth fault risk evaluation value, and F1 < F2 < F3 < F4; An abnormal node quantity k is obtained; If K1 < k < K2, the electric meter fault risk evaluation value f is set as the preset first fault risk evaluation value F1, i.e. f = F1; If K2 < k < K3, the electric meter fault risk evaluation value f is set as the preset second fault risk evaluation value F2, i.e. f = F2; If K3 < k < K4, the electric meter fault risk evaluation value f is set as the preset third fault risk evaluation value F3, i.e. f = F3; If k > K4, the electric meter fault risk evaluation value f is set as the preset fourth fault risk evaluation value F4, i.e. f = F4.

Images