Metering anti-cheating method and device of intelligent electronic scale

Abstract

The invention relates to a metering anti-cheating method and device of an intelligent electronic scale, and belongs to the field of intelligent electronic scales. The method comprises the following steps: reading metering anti-cheating parameters; constructing a metering anti-cheating system based on the metering anti-cheating parameters, wherein the metering anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a block chain evidence storage architecture, a multi-dimensional environment perception protocol and a dynamic metering calibration protocol; the adaptive anomaly detection protocol is fused with the annular buffer data to capture an anomaly probability, the block chain evidence storage architecture realizes private chain distributed storage of operation records through block hash, and the multi-dimensional environment perception protocol obtains a cheating risk index through cheating perception parameters. According to the invention, early-stage verification of the electronic scale, comprehensive judgment of a middle-stage cheating risk and later-stage metering calibration of the electronic scale are realized from multiple dimensions.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent electronic scales, and in particular relates to a measurement anti-cheating method and device for an intelligent electronic scale. Background Art

[0002] As an important measuring tool, smart electronic scales use high-precision sensors and advanced weighing algorithms to achieve high-precision weighing, reduce human errors, and improve product weighing consistency and accuracy. In addition, smart electronic scales have functions such as fast weighing and automatic weighing, which greatly improves weighing efficiency, saves labor costs, and improves production efficiency. However, with the development of science and technology, some electronic scales have emerged to cheat in measurement, which obviously disrupts the electronic scale market and requires anti-cheating measures to counter. Existing electronic scale anti-cheating methods mostly use Bluetooth control and background recording technology, but there are still the following problems: Bluetooth communication is easily intercepted or cracked; the reliability of single biometric authentication is insufficient; anomaly detection relies on manual judgment and is inefficient; data storage is centralized and easy to be tampered with; the indications for judging measurement cheating are single, etc. These deficiencies will significantly affect the security and reliability of the anti-cheating system. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides a measurement anti-cheating method and device for an intelligent electronic scale.

[0004] The purpose of the present invention can be achieved through the following technical solutions: A method for preventing cheating in measurement of an intelligent electronic scale, the implementation of which comprises the following steps: Read metering anti-cheating parameters; A measurement anti-cheating system is constructed based on the measurement anti-cheating parameters, wherein the measurement anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environment perception protocol, and a dynamic measurement calibration protocol; The adaptive anomaly detection protocol integrates the ring buffer data to capture the anomaly probability, the blockchain evidence storage architecture realizes the private chain distributed storage of operation records through block hash, and the multi-dimensional environment perception protocol obtains the cheating risk index through the cheating perception parameters.

[0005] Preferably, the metering anti-cheating parameters include electronic scale digital keys, timing marks, Bluetooth lock signals, global access frequencies, access state vectors, power supply potential parameters, instantaneous field intensity peaks, access data streams, cheating perception parameters, and real-time pressure data.

[0006] Preferably, the dynamic encryption communication protocol includes: The mobile terminal establishes a link with the electronic scale Bluetooth lock and synchronizes the timing mark; Load the electronic scale digital key, generate a dynamic cryptographic key based on the timing mark and the electronic scale digital key and perform the dynamic encryption communication protocol, the mathematical description of the dynamic cryptographic key is , where K is a dynamic cryptographic key, M sig is the binary state of the Bluetooth lock signal, D hash is the hash value of the digital key of the electronic scale, Hash is the hash function, k master is the digital key of the electronic scale, t is the timing mark, It is an XOR operation.

[0007] Preferably, the multi-dimensional biometric authentication protocol includes: The multi-dimensional biometric authentication protocol is performed based on a comprehensive credibility score, the mathematical description of which is S=ω i ·S i , where S is the comprehensive credibility score, ω i is the weight of the i-th multidimensional biometric authentication, ∑ω i =1,S i is the matching degree of the i-th multi-dimensional biometric authentication. When the comprehensive credibility score is greater than a preset threshold, the electronic scale is authorized to be unlocked.

[0008] Preferably, the adaptive anomaly detection protocol includes: The system log records the global access frequency within the set time and stores it in the ring buffer, where the global access frequency includes the Bluetooth lock access frequency and the multi-dimensional biometric authentication access frequency; The Bluetooth protocol stack records the access state vector within a set time, counts the number of abnormalities to obtain abnormal event statistics and stores them in a ring buffer, wherein the abnormal event statistics include Bluetooth lock abnormal event statistics and multi-dimensional biometric authentication abnormality times; Set n sampling points within a set time to collect power supply potential parameters and calculate the total standard deviation, obtain the potential fluctuation standard deviation and store it in a ring buffer; Capture the instantaneous field intensity peak within the set time and store it in the ring buffer; Get the weight matrix and bias term, read the ring buffer data and form a linear combination z=W·X+b, where W is the weight matrix, b is the bias term, and X is the ring buffer data; The linear combination is mapped to anomaly probability for performing the adaptive anomaly detection protocol, i.e. , where P is the abnormal probability.

[0009] Preferably, the blockchain evidence storage architecture includes: The system log records the access data stream, which includes timing marks, multi-dimensional biometric authentication information, electronic scale status and environmental parameters. A block hash is established based on the access data stream to implement the blockchain evidence storage architecture. The mathematical description of the block hash is H n =Hash(H n-1 ||Date||Nonce), where H n is the encrypted hash value of the current block, H n-1 It is the encrypted hash value of the previous block, Date is the access data stream of the current block, and Nonce is a random number.

[0010] Preferably, the multi-dimensional environment perception protocol includes: Capturing cheating perception parameters within a set time to calculate a cheating risk index, and performing the multi-dimensional environment perception protocol based on the cheating risk index, wherein the cheating perception parameters include temperature change rate, vibration effective value, electromagnetic field strength, humidity change rate, air pressure fluctuation, light intensity, ambient noise decibel, and magnetic field gradient absolute value; When the cheating risk index ECI≥0.7, the dynamic measurement calibration protocol is triggered.

[0011] Preferably, the calculation formula of the cheating risk index is: , where ECI is the cheating risk index, α is the temperature weight coefficient, β is the vibration weight coefficient, γ is the electromagnetic field weight coefficient, and δ is the humidity weight coefficient. is the air pressure weight coefficient, is the nonlinear exponent of temperature change, is the temperature change rate, V rms is the effective value of vibration, E is the electromagnetic field strength, is the humidity change rate, P var is the air pressure fluctuation, P0 is the standard atmospheric pressure, λ i is the synergistic effect weight, X1 is the light intensity, X 0,1 is the reference threshold of light intensity, X2 is the ambient noise decibel, X 0,2 is the ambient noise decibel reference threshold, X3 is the absolute value of the magnetic field gradient, X 0,3 is the reference threshold of the absolute value of the magnetic field gradient.

[0012] Preferably, the dynamic metrology calibration protocol includes: The real-time pressure data is collected by the pressure sensor array, and the predicted pressure offset is output, and the metrology calibration coefficient is calculated to perform the dynamic metrology calibration protocol. The calculation formula is: , where C is the metrological calibration coefficient, M is the number of pressure sensors, and F j is the real-time pressure data of the jth pressure sensor, F yTo predict the pressure offset, F ref Characterize the pressure reference value; The measurement result of the intelligent electronic scale is corrected based on the measurement calibration coefficient.

[0013] A measurement anti-cheating device for an intelligent electronic scale, used to execute the measurement anti-cheating method described above, comprising a parameter reading module and an anti-cheating system building module; The parameter reading module is used to read the metering anti-cheating parameters; The anti-cheating system building module is used to build a metering anti-cheating system based on the metering anti-cheating parameters. The metering anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environmental perception protocol and a dynamic metering calibration protocol; the adaptive anomaly detection protocol integrates ring buffer data to capture abnormal probability, the blockchain evidence storage architecture realizes private chain distributed storage of operation records through block hashing, and the multi-dimensional environmental perception protocol obtains a cheating risk index through cheating perception parameters.

[0014] The beneficial effects of the present invention are: (1) Build a measurement anti-cheating system through measurement anti-cheating parameters to comprehensively ensure the measurement safety of electronic scales and prevent measurement cheating methods from disrupting the market.

[0015] (2) The dynamic encryption communication protocol and multi-dimensional biometric authentication protocol are used to make up for the lack of reliability of the existing single biometric authentication of smart electronic scales.

[0016] (3) Through the adaptive anomaly detection protocol and blockchain evidence storage architecture, intelligent judgment of anomalies and automatic storage of operation records are achieved, overcoming the shortcomings of low efficiency of manual judgment, and the stored data is not easily tampered with.

[0017] (4) The cheating risk index is calculated through cheating perception parameters such as temperature change rate, vibration effective value, electromagnetic field strength, humidity change rate, etc., and the electronic scale measurement cheating risk is judged from multiple dimensions to overcome the defect of a single indicator for judging measurement cheating. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0019] Figure 1 The present invention is a flowchart of the steps of a measurement anti-cheating method for an intelligent electronic scale. DETAILED DESCRIPTION

[0020] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0021] The working principle and use process of the present invention: See also Figure 1 , a measurement anti-cheating method for an intelligent electronic scale, comprising: S1: Read the metering anti-cheating parameters; S2: constructing a metrology anti-cheating system based on the metrology anti-cheating parameters, wherein the metrology anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environment perception protocol, and a dynamic metrology calibration protocol; The adaptive anomaly detection protocol integrates the ring buffer data to capture the anomaly probability, the blockchain evidence storage architecture realizes the private chain distributed storage of operation records through block hash, and the multi-dimensional environment perception protocol obtains the cheating risk index through the cheating perception parameters.

[0022] In this embodiment, the metering anti-cheating parameters include electronic scale digital keys, timing marks, Bluetooth lock signals, global access frequencies, access state vectors, power supply potential parameters, instantaneous field intensity peaks, access data streams, cheating perception parameters, and real-time pressure data.

[0023] In this embodiment, a metering anti-cheating system is constructed based on the metering anti-cheating parameters, which can be implemented by the following steps: S201: The mobile terminal establishes a link with the electronic scale Bluetooth lock and synchronizes the timing mark; Load the electronic scale digital key, generate a dynamic cryptographic key based on the timing mark and the electronic scale digital key and perform the dynamic encryption communication protocol, the mathematical description of the dynamic cryptographic key is , where K is a dynamic cryptographic key, M sig is the binary state of the Bluetooth lock signal. sig When 1 is taken, it indicates that it is turned on. sig When it is 0, it means it is off. hash is the hash value of the digital key of the electronic scale, Hash is the hash function, k master is the digital key of the electronic scale, t is the timing mark, The user can unlock the electronic scale Bluetooth lock through the dynamic cryptographic key. If the electronic scale Bluetooth lock is illegally invaded, the dynamic cryptographic key can help locate the time of the invasion, and can also be set to time out. For example, if the timeout is two minutes, the dynamic cryptographic key will automatically expire, which can effectively ensure the safety of the electronic scale Bluetooth lock.

[0024] S202: Execute the multi-dimensional biometric authentication protocol based on the comprehensive credibility score, the mathematical description of the comprehensive credibility score is S=ω i ·S i , where S is the comprehensive credibility score, ω i is the weight of the i-th multidimensional biometric authentication, ∑ω i =1,S i is the matching degree of the i-th multi-dimensional biometric authentication, and the multi-dimensional biometric authentication includes but is not limited to face authentication, fingerprint authentication, voiceprint authentication, etc. When the comprehensive credibility score is greater than the preset threshold, the electronic scale is authorized to be unlocked. Example: An electronic scale uses face authentication and fingerprint authentication for dual authentication, and the weight of face authentication is 0.4, and the weight of fingerprint authentication is 0.6. The matching degree of user A's face authentication is 90%, and the matching degree of fingerprint authentication is 95%. The comprehensive credibility score of user A is 0.93, which is greater than the threshold of 0.90. User A can unlock the electronic scale. The matching degree of user B's face authentication is 70%, and the matching degree of fingerprint authentication is 75%. The comprehensive credibility score of user A is 0.73, and user B's access application will be blocked, and the electronic scale will not be unlocked.

[0025] S203: The system log records the global access frequency within the set time and stores it in a ring buffer, where the global access frequency includes the Bluetooth lock access frequency and the multi-dimensional biometric authentication access frequency; The Bluetooth protocol stack records the access state vector (authorization / abnormal) within the set time, counts the number of abnormalities to obtain abnormal event statistics and stores them in the ring buffer, the abnormal event statistics include Bluetooth lock abnormal event statistics and multi-dimensional biometric authentication abnormal number, the Bluetooth lock abnormal event statistics is the number of times the wrong dynamic cryptographic key is entered within the set time, the multi-dimensional biometric authentication abnormal number is the number of times the comprehensive credibility score is less than the preset threshold within the set time; Set n sampling points within a set time to collect power supply potential parameters and calculate the total standard deviation, obtain the potential fluctuation standard deviation and store it in a ring buffer for feedback of power supply stability; Capture the instantaneous field intensity peak within the set time and store it in the ring buffer; Obtain the weight matrix and bias term through model training, read the ring buffer data and form a linear combination z=W·X+b, where W is the weight matrix, b is the bias term, and X is the ring buffer data; The linear combination is mapped to anomaly probability for performing the adaptive anomaly detection protocol, i.e. , where P is the abnormal probability. When P ≥ 0.8, an abnormal alarm is triggered.

[0026] S204: The system log records the access data stream of each access, which includes timing marks, multi-dimensional biometric authentication information, electronic scale status (power supply potential parameters, etc.) and environmental parameters (temperature, electromagnetic interference intensity, etc.). A block hash is established based on the access data stream to implement the blockchain evidence storage architecture. The mathematical description of the block hash is H n =Hash(H n-1 ||Date||Nonce), where H n is the encrypted hash value of the current block, H n-1 is the encrypted hash value of the previous block, Date is the access data stream of the current block, and Nonce is a random number. The regulator can query the access / unlock history through the block hash; S205: Capture the cheating perception parameters within the set time to calculate the cheating risk index, and perform the multi-dimensional environment perception protocol based on the cheating risk index. The cheating perception parameters include temperature change rate, vibration effective value, electromagnetic field strength, humidity change rate, air pressure fluctuation, light intensity, ambient noise decibel and magnetic field gradient absolute value. The calculation formula of the cheating risk index is: , where ECI is the cheating risk index, α is the temperature weight coefficient, β is the vibration weight coefficient, γ is the electromagnetic field weight coefficient, and δ is the humidity weight coefficient. is the air pressure weight coefficient, is the nonlinear exponent of temperature change, the default value is 1.2. is the temperature change rate, V rms is the effective value of vibration, E is the electromagnetic field strength, is the humidity change rate, P var is the air pressure fluctuation, P0 is the standard atmospheric pressure, λ i is the synergistic effect weight, X1 is the light intensity, X 0,1 is the reference threshold of light intensity, X2 is the ambient noise decibel, X 0,2 is the ambient noise decibel reference threshold, X3 is the absolute value of the magnetic field gradient, X 0,3 is the reference threshold of the absolute value of the magnetic field gradient, Used to simulate the combined effects of multiple environmental parameters. For example, when high light and strong magnetic field gradient exist at the same time, the product term significantly amplifies the ECI. When ECI≥0.7, the dynamic metrology calibration protocol is triggered.

[0027] S206: Collect real-time pressure data through the pressure sensor array, and output the predicted pressure offset based on the historical pressure data through a model such as LSTM or CNN, and calculate the measurement calibration coefficient for performing the dynamic measurement calibration protocol. The calculation formula is: , where C is the metrological calibration coefficient, M is the number of pressure sensors, and F jis the real-time pressure data of the jth pressure sensor, F y To predict the pressure offset, F ref Characterizes the pressure reference value, which is the output value of the pressure sensor corresponding to the standard weight calibrated under interference-free conditions; The measurement result of the intelligent electronic scale is corrected based on the measurement calibration coefficient.

[0028] A measurement anti-cheating device for an intelligent electronic scale comprises a parameter reading module and an anti-cheating system building module.

[0029] The parameter reading module is used to read the metering anti-cheating parameters; The anti-cheating system building module is used to build a metering anti-cheating system based on the metering anti-cheating parameters. The metering anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environmental perception protocol and a dynamic metering calibration protocol; the adaptive anomaly detection protocol integrates ring buffer data to capture anomaly probabilities, the blockchain evidence storage architecture realizes private chain distributed storage of operation records through block hashing, and the multi-dimensional environmental perception protocol obtains a cheating risk index through cheating perception parameters.

[0030] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0031] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0032] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0033] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for preventing cheating in measurement of an intelligent electronic scale, characterized in that: The implementation of the metering anti-cheating method includes the following steps: Read metering anti-cheating parameters; A measurement anti-cheating system is constructed based on the measurement anti-cheating parameters, wherein the measurement anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environment perception protocol, and a dynamic measurement calibration protocol; The adaptive anomaly detection protocol integrates the ring buffer data to capture the anomaly probability, the blockchain evidence storage architecture realizes the private chain distributed storage of operation records through block hash, and the multi-dimensional environment perception protocol obtains the cheating risk index through the cheating perception parameters.

2. The metering anti-cheating method according to claim 1 is characterized in that: The metering anti-cheating parameters include electronic scale digital keys, timing marks, Bluetooth lock signals, global access frequencies, access state vectors, power supply potential parameters, instantaneous field intensity peaks, access data streams, cheating perception parameters, and real-time pressure data.

3. The metering anti-cheating method according to claim 1, characterized in that: The dynamic encryption communication protocol includes: The mobile terminal establishes a link with the electronic scale Bluetooth lock and synchronizes the timing mark; Load the electronic scale digital key, generate a dynamic cryptographic key based on the timing mark and the electronic scale digital key and perform the dynamic encryption communication protocol, the mathematical description of the dynamic cryptographic key is , where K is a dynamic cryptographic key, M sig is the binary state of the Bluetooth lock signal, D hash is the hash value of the digital key of the electronic scale, Hash is the hash function, k master is the digital key of the electronic scale, t is the timing mark, It is an XOR operation.

4. The metering anti-cheating method according to claim 1, characterized in that: The multi-dimensional biometric authentication protocol includes: The multi-dimensional biometric authentication protocol is performed based on a comprehensive credibility score, the mathematical description of which is S=ω i ·S i , where S is the comprehensive credibility score, ω i is the weight of the i-th multidimensional biometric authentication, ∑ω i =1,S i is the matching degree of the i-th multi-dimensional biometric authentication. When the comprehensive credibility score is greater than a preset threshold, the electronic scale is authorized to be unlocked.

5. The metering anti-cheating method according to claim 1 is characterized in that: The adaptive anomaly detection protocol includes: The system log records the global access frequency within the set time and stores it in the ring buffer, where the global access frequency includes the Bluetooth lock access frequency and the multi-dimensional biometric authentication access frequency; The Bluetooth protocol stack records the access state vector within a set time, counts the number of abnormalities to obtain abnormal event statistics and stores them in a ring buffer, wherein the abnormal event statistics include Bluetooth lock abnormal event statistics and multi-dimensional biometric authentication abnormality times; Set n sampling points within a set time to collect power supply potential parameters and calculate the total standard deviation, obtain the potential fluctuation standard deviation and store it in a ring buffer; Capture the instantaneous field intensity peak within the set time and store it in the ring buffer; Get the weight matrix and bias term, read the ring buffer data and form a linear combination z=W·X+b, where W is the weight matrix, b is the bias term, and X is the ring buffer data; The linear combination is mapped to anomaly probability for performing the adaptive anomaly detection protocol, i.e. , where P is the abnormal probability.

6. The metering anti-cheating method according to claim 1, characterized in that: The blockchain evidence storage architecture includes: The system log records the access data stream, which includes timing marks, multi-dimensional biometric authentication information, electronic scale status and environmental parameters. A block hash is established based on the access data stream to implement the blockchain evidence storage architecture. The mathematical description of the block hash is H n =Hash(H n-1 ||Date||Nonce), where H n is the encrypted hash value of the current block, H n-1 It is the encrypted hash value of the previous block, Date is the access data stream of the current block, and Nonce is a random number.

7. The metering anti-cheating method according to claim 1, characterized in that: The multi-dimensional environment perception protocol includes: Capturing cheating perception parameters within a set time to calculate a cheating risk index, and performing the multi-dimensional environment perception protocol based on the cheating risk index, wherein the cheating perception parameters include temperature change rate, vibration effective value, electromagnetic field strength, humidity change rate, air pressure fluctuation, light intensity, ambient noise decibel, and magnetic field gradient absolute value; When the cheating risk index ECI≥0.7, the dynamic measurement calibration protocol is triggered.

8. The metering anti-cheating method according to claim 7, characterized in that: The calculation formula of the cheating risk index is: , where ECI is the cheating risk index, α is the temperature weight coefficient, β is the vibration weight coefficient, γ is the electromagnetic field weight coefficient, and δ is the humidity weight coefficient. is the air pressure weight coefficient, is the nonlinear exponent of temperature change, is the temperature change rate, V rms is the effective value of vibration, E is the electromagnetic field strength, is the humidity change rate, P var is the air pressure fluctuation, P0 is the standard atmospheric pressure, λ i is the synergistic effect weight, X1 is the light intensity, X 0,1 is the reference threshold of light intensity, X2 is the ambient noise decibel, X 0,2 is the ambient noise decibel reference threshold, X3 is the absolute value of the magnetic field gradient, X 0,3 is the reference threshold of the absolute value of the magnetic field gradient.

9. The metering anti-cheating method according to claim 1, characterized in that: The dynamic metrology calibration protocol includes: The real-time pressure data is collected by the pressure sensor array, and the predicted pressure offset is output, and the metrology calibration coefficient is calculated to perform the dynamic metrology calibration protocol. The calculation formula is: , where C is the metrological calibration coefficient, M is the number of pressure sensors, and F j is the real-time pressure data of the jth pressure sensor, F y To predict the pressure offset, F ref Characterize the pressure reference value; The measurement result of the intelligent electronic scale is corrected based on the measurement calibration coefficient.

10. A measurement anti-cheating device for an intelligent electronic scale, characterized in that: The device is applied to the metering anti-cheating method as described in any one of claims 1 to 9, comprising a parameter reading module and an anti-cheating system building module; The parameter reading module is used to read the metering anti-cheating parameters; The anti-cheating system building module is used to build a metering anti-cheating system based on the metering anti-cheating parameters. The metering anti-cheating system integrates a dynamic encryption communication protocol, a multi-dimensional biometric authentication protocol, an adaptive anomaly detection protocol, a blockchain evidence storage architecture, a multi-dimensional environmental perception protocol and a dynamic metering calibration protocol; the adaptive anomaly detection protocol integrates ring buffer data to capture anomaly probabilities, the blockchain evidence storage architecture realizes private chain distributed storage of operation records through block hashing, and the multi-dimensional environmental perception protocol obtains a cheating risk index through cheating perception parameters.

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