Specification for Test of Cheating Feature Identification of Electronic Price Computing Scales Officially Released
2026-10-19
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Recently, the State Administration for Market Regulation has issued the first national metrological test technical specification in the field of cheating feature identification, Specification for Test of Cheating Feature Identification of Electronic Price Computing Scales (hereinafter referred to as the Specification), which shall come into force on January 1, 2027.
As widely used weighing instruments, electronic price computing scales are prevalent in farmers’ markets, supermarkets, mobile stalls and other scenarios. Up to now, there are 4.33 million electronic price computing scales nationwide. The metrological accuracy of electronic price computing scales serves as the foundation and core for fair and precise weighing and pricing, directly bearing on the public’s "vegetable baskets" and "purses".
The Specification incorporates systematic testing for cheating feature identification into the national metrological technical specification system, offering solid technical support for cheating behavior screening and metrological supervision and law enforcement. It features three major highlights:
It innovatively adopts a negative list judgment model. From the two dimensions of weighing and price calculation, the Specification carries out identification tests and comprehensive assessment on cheating features (deceptive usage characteristics) of electronic price computing scales, clearly defining rigid benchmarks for supervision and law enforcement included in the negative issue list.
It covers common forms of cheating. The Specification classifies cheating of electronic price computing scales into two categories: software tampering and hardware modification. Combined with practical experience in metrological verification, while focusing on inspecting the weighing issue of "giving short weight", it also prioritizes the test of abnormal price calculation. It basically covers various common cheating methods in the market, further tightening the supervision network for people’s livelihood metrology.
It specifies and clarifies the complete practical test procedures. The Specification clarifies the whole process of cheating feature detection and testing. Cheating behaviors are identified by trying various possible key combination adjustments and simulating external remote control devices. Together with weight loading and price verification, it checks whether the weighing and price indication values are accurate. It identifies cheating features of electronic price computing scales across the whole chain, all links and all elements, consolidating the technical foundation for people’s livelihood metrological supervision.
Moving forward, the State Administration for Market Regulation will continue to deepen comprehensive governance in the field of people’s livelihood metrology. It will safeguard the public’s "vegetable baskets" and "purses" through targeted and efficient metrological supervision, so that residents can shop and weigh goods with full confidence.
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2026-10-14
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Case Background
A steel smelting plant requires the upgrading of its furnace hopper weighing device to improve weighing accuracy under high-temperature, strong magnetic and high-electromagnetic conditions. The hopper is located adjacent to high-voltage power distribution cabinets, with several 10 kW variable-frequency water pumps, electric welding machines and other equipment in the vicinity. The maximum magnetic field strength is approximately 60 A/m; radio frequency signals mainly range from 10 MHz to 50 MHz, and the instantaneous peak voltage of the power supply can reach up to 1500 V. The currently deployed equipment is a mechanical lever electronic scale, which exhibits a zero offset of 1.8% and full-scale deviation of 2.3% at this site, failing to meet the industrial requirement (≤1%). Considering the characteristics of this environment, an integrated electromagnetic protection scheme combining multi-layer shielding and signal line filtering is proposed. Virtual laboratory tests and on-site experiments will be adopted to verify the effectiveness of the system, providing references for the reliability operation of weighing instruments under strong electromagnetic environments.
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Measurement errors of high-precision weighing instruments are comprehensively affected by multiple factors including sensor nonlinearity, non-uniform mechanical structure and external environmental disturbances, and there are significant interactions among these error sources. Test data show that when the three factors act simultaneously, the peak total system error reaches 0.21% F.S., which is approximately 24% higher than the 0.17% F.S. predicted by linear superposition of single factors. This conclusion is derived from statistical analysis of controlled experimental data under multiple working conditions and repeated measurements, featuring good representativeness and repeatability. The combined uncertainty model established based on the GUM framework realizes unified quantification of each error component. After adopting systematic hierarchical control technology, the expanded uncertainty of measurement results is reduced from 0.116% F.S. to 0.034% F.S., which fully verifies the value of this technology in engineering applications. Future research can focus on the uncertainty propagation mechanism during dynamic weighing.
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Uncertainty Analysis and Evaluation of Measurement Results for Suspended Container Weighing Device
2026-10-13
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The suspended container weighing device adopts the principle of moment balance. It determines the total mass and centroid coordinates of a container by measuring the mass values at the four lifting points of the container. As a common measuring instrument widely used in port terminals, logistics hubs and other sites, the accuracy of its measurement results is critical for overload prevention, eccentric load early warning of container transportation, and the fairness of trade settlement. JJF 2285-2025 Calibration Specification for Suspended Container Weighing Devices specifies the calibration methods for the indication error of mass and the indication error of container centroid coordinates of suspended container weighing devices. This paper analyzes and evaluates the measurement uncertainty thereof.
1 Measurement Basis and Methods
1.1 Measurement Basis
JJF 2285-2025 Calibration Specification for Suspended Container Weighing Devices.
1.2 Unit under Test
Suspended container weighing device.
1.3 Measurement Standard
Standard weights with a nominal value of 500 kg, accuracy class M1, quantity: 20 pieces.
1.4 Measurement Methods
1.4.1 Indication Error of Mass
Ensure the weighing device is under no-load condition, inspect and zero-set the instrument. Starting from zero load, add standard weights up to near the maximum weighing capacity, then unload the standard weights back to zero. Take three measurements at each weighing point. Unloading of standard weights is permitted during measurement; after unloading, the zero point shall be checked. If the zero indication is non-zero, the indication shall be reset to zero.
1.4.2 Indication Error of Centroid Coordinates
Divide the container plane into four zones A, B, C and D. Connect the container to the weighing device. Place the centroid standard artifact at at least one position within Zone A according to the operating conditions of the weighing device. Start the weighing device and perform zero setting. Place the centroid standard artifact at the selected position and carry out three repeated measurements. Repeat the above measurement procedure for Zone B, Zone C and Zone D respectively. This evaluation takes Zone A as an example.
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From traditional weighing data acquisition systems to intelligent weighing management systems, and from manual measurement to intelligent measurement, intelligent weighing instruments have undergone continuous upgrades. These advancements have not only reduced operational costs for enterprises but also enhanced both operational efficiency and safety. With the development and application of next-generation information technologies—such as artificial intelligence, big data, machine vision, 5G, the Internet of Things (IoT), and cloud computing—the deployment of machine vision technology within intelligent weighing systems has also progressively matured. Intelligent weighing instruments empowered by machine vision technology, coupled with ongoing innovations in information technologies, are creating new growth opportunities for traditional enterprises. At the same time, this trend imposes stringent requirements on weighing instrument manufacturers to achieve intelligent transformation.
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