CN-121980523-A - Method and system for early warning of abnormal temperature and humidity of electric energy meter production process environment

CN121980523ACN 121980523 ACN121980523 ACN 121980523ACN-121980523-A

Abstract

The invention belongs to the technical field of electric energy meter metering verification, and particularly relates to an environment temperature and humidity abnormality early warning method and system for an electric energy meter production process, wherein the method comprises the steps of collecting real-time environment temperature data of a key area of an electric energy meter verification assembly line, and constructing a historical data queue with a preset length; the method comprises the steps of calculating a thermal hysteresis deviation index of the interior of the electric energy meter at the current moment relative to a standard temperature, intercepting data in the latest preset time period in a historical data queue as a short-term observation window to obtain the environmental fluctuation rate at the current moment, calculating the thermal hysteresis deviation index and the environmental fluctuation rate by utilizing a preset weighting coefficient to obtain a thermal steady-state index, comparing the thermal steady-state index with a preset threshold value, and executing grading early warning or blocking verification process operation according to a comparison result. The invention can combine the thermal coupling characteristic of the intelligent electric energy meter to improve the accuracy of identifying the environment abnormality.

Inventors

WANG GANG
ZHANG JIANCHUN

Assignees

江阴众和电力仪表有限公司

Dates

Publication Date: 20260505
Application Date: 20260330

Claims (9)

1. The utility model provides an unusual early warning method of electric energy meter production technology environment humiture, which is characterized in that includes: Collecting real-time environmental temperature data of a key area of an electric energy meter verification assembly line, performing sliding filtering cleaning on the environmental temperature data, and constructing a historical data queue with a preset length in a memory based on the cleaned environmental temperature data; Calculating an arithmetic average value of absolute temperature differences between the measured values of the ambient temperature and the standard verification temperature at each historical moment in the historical data queue according to the difference value between the ambient temperature data and the standard verification temperature in the historical data queue, and taking the arithmetic average value as an input characteristic; intercepting data in the latest preset time length in the historical data queue as a short-term observation window, and calculating the discrete degree of the environmental temperature data in the short-term observation window to obtain the environmental fluctuation rate at the current moment; and calculating the thermal hysteresis deviation index and the environmental fluctuation rate by using a preset weighting coefficient to obtain a thermal steady-state index, comparing the thermal steady-state index with a preset threshold value, and executing hierarchical early warning or blocking the operation of the verification process according to the comparison result.
2. The method for early warning of environmental temperature and humidity anomalies in an electric energy meter production process according to claim 1 is characterized in that the method for carrying out sliding filtering cleaning on the environmental temperature data comprises the steps of setting the size of a sliding window, obtaining original environmental temperature values of a plurality of continuous sampling points, selecting the median value of the original environmental temperature values as an effective environmental temperature value at the current moment to remove abrupt noise points, and enabling the length of a historical data queue to correspond to the thermal balance time constant of the electric energy meter.
3. The method for early warning of abnormal temperature and humidity in an electric energy meter production process environment according to claim 1, further comprising the step of carrying out partition judgment on the thermal state inside the intelligent electric energy meter by using the calculated thermal hysteresis deviation index: When the thermal hysteresis deviation index is in the stable judging interval of the thermal hysteresis deviation index, judging that the inside of the intelligent electric energy meter has reached a thermal balance state suitable for electric power parameter measurement; when the thermal hysteresis deviation index is outside the stable judging section of the thermal hysteresis deviation index, judging that the thermal hysteresis stress still exists in the intelligent electric energy meter and the stable condition for starting the verification process is not provided.
4. The method for early warning of abnormal environmental temperature and humidity in an electric energy meter production process according to claim 1, wherein the calculating of the degree of dispersion of the environmental temperature data in the short-term observation window obtains the environmental fluctuation rate at the current moment, specifically comprises: calculating an arithmetic average value of all environmental temperature data in a short-term observation window; Calculating the square of the difference between the ambient temperature data and the arithmetic mean value at each moment in the short-term observation window, and summing all the square values; dividing the summation result by the size of the short-term observation window, and performing evolution operation on the obtained quotient to obtain the environment fluctuation rate.
5. The method for early warning of abnormal temperature and humidity in an electric energy meter production process environment according to claim 1, wherein the step of collecting real-time environmental temperature data of a key area of an electric energy meter verification assembly line comprises the following steps: respectively arranging temperature sensors at an air inlet of the verification table body, the inside of the verification table body and a standard meter; And synchronously acquiring data of each temperature sensor, and performing fusion processing to form an original temperature sequence, wherein the sampling frequency is set to be acquired once per second.
6. The method for early warning of abnormal temperature and humidity in an electric energy meter production process environment according to claim 1, wherein the method for obtaining the heat steady-state index specifically comprises the following steps: Calculating a first intermediate value that is the product of the square of the thermal hysteresis deviation index and the deviation penalty coefficient; calculating a second intermediate value that is the product of the environmental volatility and a volatility sensitivity coefficient; And adding the first intermediate value and the second intermediate value with a preset system base noise constant to obtain a thermal steady-state index.
7. The method for early warning of abnormal temperature and humidity in an electric energy meter production process environment according to claim 1, wherein the step of performing the step early warning or blocking the verification process according to the comparison result comprises the following steps: When the thermal steady state index reaches a preset blocking threshold, judging that the system is in a forced stop zone, sending a control instruction to lock the starting function of verification software, and forcibly suspending the operation of the production line until the thermal steady state index falls back into a safe range; when the thermal steady-state index is located between a preset early warning threshold value and a preset blocking threshold value, the system is judged to be in a risk early warning area, and prompt information is output to suggest to prolong the preheating time of the hanging meter before verification.
8. The method for early warning of abnormal temperature and humidity in an electric energy meter production process environment according to claim 6, wherein the deviation punishment coefficient is larger than the fluctuation sensitivity coefficient, and the system noise floor constant is used for preventing the index from being zero in an ideal state.
9. The system for early warning of the abnormal temperature and humidity of the production process environment of the electric energy meter is characterized by comprising a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions, when executed by the processor, realize the early warning method of the abnormal temperature and humidity of the production process environment of the electric energy meter according to any one of claims 1-8.

Description

Method and system for early warning of abnormal temperature and humidity of electric energy meter production process environment Technical Field The invention relates to the technical field of electric energy meter metering verification. More particularly, the invention relates to a method and a system for early warning of abnormal temperature and humidity of an electric energy meter production process environment. Background In the manufacturing process of the intelligent electric energy meter, the calibration and verification procedures are key links for determining the metering precision of the intelligent electric energy meter, and the temperature and the humidity of a verification environment are required to be strictly controlled within a specified range. However, most of the existing environment monitoring systems only monitor the instantaneous temperature of air, and as the electric energy meters are in a fully sealed state on the verification assembly line and the production speed is high, the temperature sensors cannot be arranged in each electric energy meter to be detected for direct measurement, so that the real thermal state of the core elements in the meter becomes a monitoring blind area. When the air temperature of a workshop reaches the standard through quick adjustment, the intelligent electric energy meter is composed of a shell, a printed circuit board, a manganese copper shunt and the like, so that the intelligent electric energy meter has obvious thermal inertia, the temperature change of an internal core element of the intelligent electric energy meter is often delayed from the air temperature, and therefore, when the air temperature just reaches the standard, the intelligent electric energy meter can still be in a false steady state of non-thermal balance. If verification is started immediately at this time, calibration parameter drift is very easy to cause, so that the factory qualification rate of the intelligent electric energy meter is seriously affected. In the prior art, a common alarm mechanism is mostly triggered based on a simple threshold value, and the alarm mechanism is judged to be normal as long as the ambient temperature is within a standard range. However, if the ambient temperature oscillates at high frequency within the compliance range, the repeated thermal expansion and contraction stresses will still affect the frequency stability of the crystal oscillator inside the intelligent ammeter. In addition, the general environment monitoring system does not fully consider the response difference of material characteristics such as the shell heat conductivity of the measured intelligent electric energy meter to the environment temperature, so that the quality state of the monitored data and the actual intelligent electric energy meter is disjointed. Therefore, a novel early warning method capable of fusing the thermal coupling characteristics of the environment and the intelligent electric energy meter and accurately identifying thermal hysteresis and environment micro-fluctuation is urgently needed. Disclosure of Invention The invention provides an environment temperature and humidity abnormality early warning method and system for an electric energy meter production process, which are used for solving the technical problem of low verification precision caused by thermal hysteresis and environment micro-fluctuation of an intelligent electric energy meter, and can be used for improving environment abnormality recognition accuracy by combining with the thermal coupling characteristic of the intelligent electric energy meter. In a first aspect, the invention provides an environment temperature and humidity abnormality early warning method for an electric energy meter production process, which comprises the steps of collecting real-time environment temperature data of an electric energy meter verification pipeline key area, conducting sliding filtering cleaning on the real-time environment data, constructing a historical data queue with a preset length in a memory based on the cleaned data, calculating an arithmetic average value of absolute temperature differences between an environment temperature measured value and a standard verification temperature at each historical moment in the historical data queue according to a difference value of the environment temperature data and the standard verification temperature in the historical data queue, taking the arithmetic average value as an input characteristic, multiplying the input characteristic by a preset regression slope and adding a preset intercept item to calculate a dimensionless thermal hysteresis deviation index, intercepting data in the historical data queue in a latest preset time period as a short-term observation window, calculating the discrete degree of the environment temperature data in the short-term observation window to obtain an environment fluctuation rate at the current moment, calculating the thermal