A method and system for preventing cheating on platform scales based on the Internet of Things

Abstract

This invention discloses an anti-cheating monitoring method and system for platform scales based on the Internet of Things (IoT), relating to the field of platform scale monitoring technology. It involves setting up an IoT platform, connecting platform scale terminals to the platform, and binding the platform scale terminals to data packets in the IoT platform according to codes. The system collects equipment information from the platform scales, including sensor information and weighing information, and transmits this information to the corresponding data packets on the IoT platform. The system securely stores the equipment information through these data packets, analyzes the information, and identifies equipment information that does not meet preset conditions as abnormal information, alerting the platform scales corresponding to these abnormal information. This invention employs security technologies such as encrypted storage and access control in the data packets to ensure that the data is not tampered with or stolen during storage. It supports the review of historical weighing records and equipment status at any time, ensuring data security and thus guaranteeing the accuracy of platform scale cheating analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of platform scale monitoring, and particularly relates to a platform scale anti-cheating monitoring method and system based on Internet of Things. BACKGROUND

[0002] In the field of trade settlement, whether it is retail transactions in agricultural markets or wholesale transactions of bulk commodities, platform scales are the core tools for determining the weight of goods and calculating transaction amounts, and their measurement accuracy is directly related to the issue of fair trade. However, due to technical limitations and lagging regulatory measures, cheating behaviors frequently occur in traditional platform scales. The popularity of Internet of Things technology provides a new path to solve these problems, but when storing data for platform scale monitoring, it is difficult to ensure its security and it is easy to be accessed and tampered with, leading to inaccurate analysis of platform scale cheating. SUMMARY

[0003] The purpose of the present application is to provide a platform scale anti-cheating monitoring method and system based on Internet of Things to solve the problems in the background art.

[0004] In order to achieve the above purpose, the present application provides the following technical solution: a platform scale anti-cheating monitoring method based on Internet of Things, comprising the following steps:

[0005] Setting up an Internet of Things platform, connecting platform scale terminals based on the Internet of Things platform, and binding the platform scale terminals with data packets in the Internet of Things platform according to the codes;

[0006] Collecting device information of the platform scale, wherein the device information includes sensor information and weighing information, and transmitting the device information through the platform scale terminal to the corresponding data packet of the Internet of Things platform;

[0007] Storing the device information securely through the data packet, analyzing the device information, regarding device information that does not meet the preset conditions as abnormal information, and reminding the platform scale corresponding to the abnormal information as an abnormal platform scale.

[0008] In a preferred embodiment, the step of setting up an Internet of Things platform, connecting platform scale terminals based on the Internet of Things platform, and binding the platform scale terminals with data packets in the Internet of Things platform according to the codes comprises:

[0009] Determining the platform scales that need to be monitored and configuring the ports as platform scale terminals;

[0010] Marking the codes corresponding to the platform scales and binding the codes with the platform scale terminals;

[0011] Setting up multiple data packets in the Internet of Things platform, the number of data packets being the same as the number of platform scale terminals, marking the data packets according to the codes corresponding to the platform scale terminals, and binding the data packets with the corresponding platform scale terminals one by one according to the codes;

[0012] The data packet is communicated with the corresponding platform scale terminal through the Internet of Things platform.

[0013] In a preferred embodiment, the step of setting multiple data packets in the Internet of Things platform comprises:

[0014] Multiple sub-data spaces are set in the Internet of Things platform, and a take-off surface is set in each of the multiple sub-data spaces, wherein the take-off surface comprises multiple data nodes, and multiple take-off points are set in each of the multiple sub-data spaces;

[0015] A take-off packet is set on the take-off surface, and a connection port is set corresponding to the take-off packet, wherein the connection port comprises a node port and an access port, the take-off packet is connected with the data node through the node port, and the take-off packet is connected with the authorized network port through the access port;

[0016] The take-off surface is copied as a sensing surface, the data nodes in the sensing surface are connected with the data nodes in the corresponding take-off surface, the sensing surface is set in the sub-data space, the external network port is connected with the sub-data space through the access end of the sub-data space, and a data packet is obtained.

[0017] In a preferred embodiment, the step of setting the sensing surface in the sub-data space and establishing the connection between the external network port and the sub-data space through the access end of the sub-data space comprises:

[0018] An access end is set corresponding to the sub-data space, and the multiple data nodes in the sensing surface are connected with the access end, and the sensing surface is between the access end and the take-off surface;

[0019] The data nodes in the take-off surface provide the connection relationship with the take-off packet to the data nodes in the sensing surface, wherein the connection relationship comprises connected and not connected, and the data nodes in the sensing surface corresponding to the connected are marked.

[0020] In a preferred embodiment, the step of transmitting the device information to the corresponding data packet of the Internet of Things platform through the platform scale terminal comprises:

[0021] The sensor information and the weighing information of the platform scale collected by the sensor are taken as the device information;

[0022] The device information is transmitted to the corresponding data packet of the Internet of Things platform through the platform scale terminal.

[0023] In a preferred embodiment, the step of storing the device information securely through the data packet, analyzing the device information, taking the device information not meeting the preset condition as abnormal information, and reminding the abnormal platform scale as the abnormal platform scale comprises:

[0024] The device information is stored in a start package in a data packet, and when an unauthorized network port access information packet exists, the start package is positionally transferred in a start surface;

[0025] The device information in the start package is analyzed to obtain an analysis result, wherein the analysis result includes a corresponding parameter type and a specific parameter result;

[0026] A preset condition is set for the corresponding parameter type, the preset condition is a parameter limit range of the corresponding parameter type, device information that does not meet the preset condition is taken as abnormal information, and an abnormal scale corresponding to the abnormal information is reminded.

[0027] In a preferred embodiment, when an unauthorized network port access information packet exists, the step of positionally transferring the start package in the start surface includes:

[0028] The external network port accesses data through an access end of a sub-data space, the authorized network port accesses according to a data node marked in the sensing surface, connects to a data node in the start surface through the data node marked in the sensing surface, and then connects and accesses the start package connected to the data node in the start surface;

[0029] When an unauthorized network port accesses the marked data node, the marked data node is communicated to the corresponding data node in the start surface as an abnormal point, and a data node closest to the network position of the abnormal point is determined as a target point;

[0030] A plurality of start points are enabled, the plurality of start points are sequentially and chainingly connected to obtain a start line, the start points at both ends of the start line are connected to the abnormal point and the target point respectively, the start package is transferred to the target point through the start line, the target point and the abnormal point respectively provide the connection relationship with the start package to the corresponding data nodes in the sensing surface, and the data nodes in the sensing surface corresponding to the target point are marked.

[0031] The application also provides a scale anti-cheating monitoring system based on an Internet of Things, comprising:

[0032] A setting module is configured to set an Internet of Things platform, connect a scale terminal based on the Internet of Things platform, and bind the scale terminal according to a code and a data packet in the Internet of Things platform;

[0033] A collection module is connected with the setting module and configured to collect device information of the scale, wherein the device information includes sensor information and weighing information, and the device information is transmitted to a corresponding data packet in the Internet of Things platform through the scale terminal;

[0034] The storage module is connected with the acquisition module, and is used for securely storing the equipment information through a data packet, analyzing the equipment information, taking the equipment information not meeting preset conditions as abnormal information, and reminding an abnormal platform scale corresponding to the abnormal information.

[0035] In the above technical solution, the present application provides technical effects and advantages as follows:

[0036] In the present application, the data packet adopts security technologies such as encrypted storage and access control, so as to ensure that the data is not tampered with or stolen in the storage link. The history weighing record and equipment state can be traced back at any time, the safety of the data is ensured, and the accuracy of the platform scale cheating analysis is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings described below are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art based on these drawings.

[0038] Figure 1 The method flowchart of the present application.

[0039] Figure 2 The system block diagram of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0041] Embodiment 1, please refer to Figure 1 The anti-cheating monitoring method of the platform scale based on the Internet of Things comprises the following steps:

[0042] S1, setting an Internet of Things platform, connecting a platform scale terminal based on the Internet of Things platform, and binding the platform scale terminal according to a code and a data packet in the Internet of Things platform;

[0043] S2, acquiring equipment information of the platform scale, wherein the equipment information comprises sensor information and weighing information, and transmitting the equipment information through the platform scale terminal to a corresponding data packet in the Internet of Things platform;

[0044] S3, securely store the device information through the data packet, analyze the device information, and take the device information that does not meet the preset condition as abnormal information, and remind the abnormal platform scale as an abnormal platform scale.

[0045] In one embodiment, the step S1 of setting the Internet of Things platform, connecting the platform scale terminal based on the Internet of Things platform, and binding the code in the platform scale terminal with the data packet in the Internet of Things platform comprises:

[0046] S11, determine the platform scale that needs to be monitored and configure the port as the platform scale terminal;

[0047] S12, mark the code corresponding to the platform scale, and bind the code with the platform scale terminal information;

[0048] S13, set multiple data packets in the Internet of Things platform, the number of data packets is the same as the number of platform scale terminals, mark the data packets according to the codes corresponding to the platform scale terminals, and bind the data packets with the corresponding platform scale terminals one by one according to the codes;

[0049] S14, connect the data packet with the corresponding platform scale terminal through the Internet of Things platform.

[0050] In one embodiment, the step S13 of setting multiple data packets in the Internet of Things platform comprises:

[0051] S131, set multiple sub-data spaces in the Internet of Things platform, and set a take-off surface in each of the multiple sub-data spaces, wherein the take-off surface comprises multiple data nodes, and multiple take-off points are set in each of the multiple sub-data spaces;

[0052] S132, set a take-off packet (virtual machine) on the take-off surface, and set a connection port corresponding to the take-off packet, wherein the connection port comprises a node port and an access port, the take-off packet is connected with the data node through the node port, and the take-off packet is connected with the authorized network port through the access port;

[0053] S133, copy the take-off surface as a sensing surface, connect the data nodes in the sensing surface with the data nodes in the corresponding take-off surface, set the sensing surface in the sub-data space, establish the connection between the external network port (including the authorized network port and the unauthorized network port) and the sub-data space through the access end of the sub-data space, and obtain the data packet;

[0054] In one embodiment, the step S133 of setting the sensing surface in the sub-data space and establishing the connection between the external network port and the sub-data space through the access end of the sub-data space comprises:

[0055] S1331, set an access end corresponding to the data space, connect each data node in the sensing surface to the access end, and the sensing surface is between the access end and the take-off surface;

[0056] S1332, the data node in the take-off surface provides the connection relationship of the take-off packet to the data node in the sensing surface, wherein the connection relationship includes connected and unconnected, and the connected data node in the sensing surface is marked.

[0057] As described above in steps S11-S14, in a city large-scale agricultural market or a chain supermarket, hundreds of Internet of Things platform scales are deployed for daily commodity weighing settlement. Relevant personnel need to monitor the scale data in real time to prevent merchants from short-changing or cheating by tampering with the equipment. Consumers frequently use the scale, and the data access volume is large; some merchants may try to obtain or tamper with the data through some means. Assign a unique code and data terminal to each scale, and upload the data to the independent sub-data space of the Internet of Things platform in real time; when the data of a certain scale is accessed by an unauthorized network port (such as a merchant trying to access the jump packet of the storage device information by cracking the port), the sensing surface immediately triggers an alarm and transfers the jump packet to a safe data node; through the authorized port access marked data node, the original weighing record of a certain scale can be retrieved at any time to ensure fair transactions. For example, in the field of people's livelihood, in order to protect the rights and interests of consumers, the scales in the agricultural market and large supermarkets need to be monitored. Before monitoring, the object to be monitored is first determined, that is, the scales that need to be monitored in the market are taken as the monitoring object. First, configure the port used for information transmission as the scale terminal corresponding to the scale, encode the corresponding scale, and be able to distinguish and manage the scale and monitor the data. Bind the code with the scale terminal, collect and analyze the equipment information of the scale through the Internet of Things platform. In order to ensure the accuracy of data analysis, the security of data storage must be ensured first. Here, multiple data packets are set in the Internet of Things platform, one data packet stores the equipment information of one scale terminal, and the data packet can be distinguished. The data packet is connected with the scale terminal through the Internet of Things platform. The data packet here is a sub-data space (storage) divided in the Internet of Things platform. Then set a jump surface in the sub-data space. The jump surface is a data space in the sub-data space used for subsequent layout of data nodes. Then arrange multiple data nodes in the jump surface. The data node is a data terminal in the sub-data space. The multiple data nodes are not connected with each other and are isolated from each other. The data node is connected with the sub-data space as a load. The data node is used as a position point of the jump packet. The jump packet can change position among the multiple data nodes. Specifically, the jump packet is temporarily connected through multiple jump points. The jump point here is a single virtual machine, which can be used as a communication node temporarily connected as a communication channel for transmitting the jump packet. The jump packet here is a virtual machine, which can be transmitted, store equipment information, and be accessed by an authorized network port. When an unauthorized network port accesses the data node of the corresponding jump packet on the sensing surface, the sensing surface can notify the jump surface, and then select the other data node closest to the data node in the jump surface. Then the jump channel (communication channel) between the current jump point and the other data node closest to the jump point is temporarily connected through multiple jump points. The jump packet is transferred to the other data node through the jump channel to avoid access by the unauthorized network port. The sensing surface is the same as the jump surface,The data nodes in the induction surface correspond to and are connected to the data nodes in the corresponding take-off surface. The data nodes in the take-off surface notify the data nodes in the induction surface of the connection relationship. The connection relationship here refers to the connection relationship between the data nodes in the take-off surface and the take-off package. There is only one data package in a take-off surface, and only one data node is connected to the take-off package. The corresponding data nodes in the induction surface that have been connected are marked, representing that the data nodes in the induction surface can be connected to the take-off package in the take-off surface. The mark can only be obtained by the authorized network port and is in a hidden state. If the take-off package is connected to the take-off package through the marked data nodes in the induction surface by other unauthorized network ports, the data nodes in the induction surface will notify the data nodes on the take-off surface in advance. In this way, the take-off package and the data nodes on the take-off surface are in a connected state and are "aware" of it. Subsequently, the take-off package will "escape" to the nearest other data node with the "help" of the take-off point, having a good data storage protection effect and being able to ensure that data cannot be tampered with by unauthorized networks, ensuring the security of the device information storage of the platform scale, and further ensuring the accuracy of the platform scale cheating analysis.

[0058] In one embodiment, the step S2 of transmitting the device information to the data package corresponding to the Internet of Things platform through the platform scale terminal comprises:

[0059] S21, acquiring sensor information and weighing information of the platform scale by a sensor as device information;

[0060] S22, transmitting the device information to the data package corresponding to the Internet of Things platform through the platform scale terminal.

[0061] As described in steps S21-S22 above, the sensor information and the weighing information of the platform scale acquired by the sensor are used as device information. The sensors here include weight sensors, voltage sensors, and other sensors corresponding to platform scale cheating-related data. The weight change rate (such as an increase / decrease of ≤10 kg per second) of the weight sensor is used to detect rapid weight addition or subtraction cheating. The voltage sensor is used to acquire voltage changes of the platform scale. Voltage fluctuations, harmonic abnormalities, power supply deviations from nominal values, and dynamic power consumption mutations are used to detect possible cheating. Therefore, these data are used as reference data for platform scale cheating. The device information acquired by the platform scale is then transmitted through the platform scale terminal, and finally stored in the data package in the Internet of Things platform for safe storage.

[0062] In one embodiment, the step S3 of storing the device information in the data package for safe storage, analyzing the device information, and reminding the platform scale corresponding to the abnormal information as an abnormal platform scale when the device information does not meet the preset conditions comprises:

[0063] S31, the device information is stored in a start package in the data packet, when there is an unauthorized network port access information package, the start package is positionally transferred in a start surface;

[0064] S32, the device information in the start package is analyzed to obtain an analysis result, wherein the analysis result includes a corresponding parameter type and a specific parameter result;

[0065] S33, a preset condition is set for the corresponding parameter type, the preset condition is a parameter limit range of the corresponding parameter type, device information that does not meet the preset condition is taken as abnormal information, and a scale corresponding to the abnormal information is taken as an abnormal scale to be reminded.

[0066] In one embodiment, the device information is stored in a start package in the data packet, and when there is an unauthorized network port access information package, the start package is positionally transferred in a start surface in step S31, which includes:

[0067] S311, the external network port accesses data through the access end of the sub-data space, the authorized network port accesses the data node marked in the sensing surface, connects to the data node in the start surface through the data node marked in the sensing surface, and then connects to the start package connected to the data node in the start surface for connection access;

[0068] S312, when there is an unauthorized network port access to the marked data node, the marked data node is prompted to the corresponding data node in the start surface as an abnormal point through communication, and the data node closest to the network position of the abnormal point is determined as a target point;

[0069] S313, a plurality of start points are enabled, the plurality of start points are sequentially and chain-connected to obtain a start line, the start points at both ends of the start line are connected to the abnormal point and the target point respectively, the start package is transferred to the target point through the start line, the connection relationship of the target point and the abnormal point with the start package is provided to the corresponding data node in the sensing surface, and the data node in the sensing surface corresponding to the target point is marked.

[0070] After setting the data packet, the Internet of Things platform can support data access as described in steps S31-S33. The endpoint of the access is the starting packet in the data packet. The sub-data space only allows authorized network ports to access, but there are still unauthorized network ports trying to access the sub-data space. Therefore, in order to ensure the security of the device information storage, the starting surface, the starting packet, the starting point, and the sensing surface are set. When there is an access end of the external network port accessing the sub-data space, the authorized network port and the unauthorized network port can be distinguished through the sensing surface. The authorized network port can find the accurate data node in the sensing layer according to the mark only for the authorized network port identification. The mark here is realized through a digital certificate (X.509 certificate) to achieve the "marking" effect, which is invisible. The data nodes in the sensing layer are connected one by one with the data nodes in the corresponding starting surface. Therefore, the data node in the starting surface can be accessed according to the mark, and then the starting packet in the starting surface is connected. If the unauthorized network port accidentally accesses the selected marked data node in the sensing layer, the corresponding data node in the starting surface can be prompted through the data node. This means that the starting packet connected by the data node in the starting surface is not safe. Then, the starting point in the sub-data space is used to transfer the starting packet to the target point. Specifically, multiple starting points (the specific data can be related to the network communication length that the starting point can connect, between the target point and the abnormal point) are enabled, and the multiple starting points are connected in sequence to obtain a starting line (communication channel). The starting points at both ends of the starting line are connected with the abnormal point and the target point, respectively. The starting packet is transferred (transmitted) to the target point through the starting line. The target point and the abnormal point provide the connection relationship of the starting packet to the corresponding data nodes in the sensing surface, and the data nodes in the sensing surface corresponding to the target point are marked. The safety of the starting packet can be ensured, and the network position can be adaptively changed according to the danger situation, so that the unauthorized network cannot access the starting packet, the device information in the starting packet is prevented from being tampered with, the accuracy of the scale cheating situation analysis is ensured, and the security of the data packet in the Internet of Things platform is ensured, so that the network security index of the corresponding scale can be obtained,

[0071] , The network security index (range: 0~1, the higher the value, the safer) The total access frequency of the data nodes in the sensing surface except the marked data nodes; The total access frequency of the data nodes in the sensing surface; The access frequency of the marked data nodes in the sensing surface; The average access frequency of the data nodes in the sensing surface; The sensitivity parameter (adjust the curve slope, recommended k=2); The threshold parameter (recommended =1).

[0072] Embodiment 2, please refer to Figure 2 The anti-cheating monitoring system of the platform scale based on the Internet of Things comprises a setting module, a collecting module, and a storage module.

[0073] The setting module is configured to set an Internet of Things platform, connect a platform scale terminal based on the Internet of Things platform, and bind the platform scale terminal according to a code and a data packet in the Internet of Things platform.

[0074] The collecting module is connected with the setting module and configured to collect device information of the platform scale, wherein the device information comprises sensor information and weighing information, and transmit the device information to a corresponding data packet in the Internet of Things platform through the platform scale terminal.

[0075] The storage module is connected with the collecting module and configured to store the device information in the data packet safely, analyze the device information, take device information that does not meet preset conditions as abnormal information, and remind a platform scale corresponding to the abnormal information as an abnormal platform scale.

[0076] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An anti-cheating monitoring method for a platform scale based on the Internet of Things, characterized in that, The method comprises the following steps: An Internet of Things platform is set up, a platform scale terminal is connected based on the Internet of Things platform, the platform scale terminal is bound with a data packet in the Internet of Things platform according to a code, and a plurality of data packets are set up in the Internet of Things platform; The step of setting up a plurality of data packets in the Internet of Things platform comprises: A plurality of sub-data spaces are set up in the Internet of Things platform, a plurality of takeoff surfaces are set up in the plurality of sub-data spaces, wherein the takeoff surface comprises a plurality of data nodes, and a plurality of takeoff points are set up in the plurality of sub-data spaces; A takeoff packet is set up on the takeoff surface, a connection port is set up corresponding to the takeoff packet, wherein the connection port comprises a node port and an access port, the takeoff packet is connected with the data node through the node port, and the takeoff packet is connected with an authorized network port through the access port; The takeoff surface is copied as a sensing surface, the data node in the sensing surface is connected with the corresponding data node in the takeoff surface, the sensing surface is set up in the sub-data space, an external network port is connected with the sub-data space through the access end of the sub-data space, and a data packet is obtained; The step of setting up the sensing surface in the sub-data space and connecting the external network port with the sub-data space through the access end of the sub-data space comprises: The access end is set up corresponding to the sub-data space, the plurality of data nodes in the sensing surface are connected with the access end, and the sensing surface is between the access end and the takeoff surface; The connection relationship of the data node in the takeoff surface with the takeoff packet is provided to the data node in the sensing surface, wherein the connection relationship comprises connected and not connected, and the data node in the sensing surface that is connected is marked; Device information of the platform scale is collected, wherein the device information comprises sensor information and weighing information, and the device information is transmitted to the corresponding data packet in the Internet of Things platform through the platform scale terminal; The device information is stored safely through the data packet, the device information is analyzed, the device information that does not meet a preset condition is taken as abnormal information, and the platform scale corresponding to the abnormal information is taken as an abnormal platform scale and is reminded.

2. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 1, characterized in that: The step of setting up the Internet of Things platform, connecting the platform scale terminal based on the Internet of Things platform, and binding the platform scale terminal with the data packet in the Internet of Things platform according to the code comprises: A platform scale that needs to be monitored is determined, and a port is configured as a platform scale terminal; An encoding corresponding to the platform scale is marked, and the encoding is bound with the platform scale terminal; The number of data packets is the same as the number of platform scale terminals, the data packets are marked according to the encoding corresponding to the platform scale terminal, the data packets are bound with the corresponding platform scale terminal one by one according to the encoding, and the data packets are connected with the corresponding platform scale terminal through the Internet of Things platform. The step of transmitting the device information to the corresponding data packet in the Internet of Things platform through the platform scale terminal comprises:

3. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 1, characterized in that: Sensor information and weighing information of the platform scale are collected based on a sensor as the device information; The device information is transmitted to the corresponding data packet in the Internet of Things platform through the platform scale terminal. The step of storing the device information safely through the data packet, analyzing the device information, taking the device information that does not meet a preset condition as abnormal information, and taking the platform scale corresponding to the abnormal information as an abnormal platform scale and reminding the abnormal platform scale comprises:

4. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 1, characterized in that: ​ The device information is stored in the start-up packet in the data packet, and when there is an unauthorized network port access information packet, the start-up packet is positionally transferred in the start-up surface; The device information in the start-up packet is analyzed to obtain an analysis result, wherein the analysis result includes a corresponding parameter type and a specific parameter result; A preset condition is set for the corresponding parameter type, the preset condition is a parameter limit range of the corresponding parameter type, device information that does not meet the preset condition is taken as abnormal information, and the scale corresponding to the abnormal information is taken as an abnormal scale to be reminded.

5. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 4, characterized in that: The device information is stored in the start-up packet in the data packet, and when there is an unauthorized network port access information packet, the start-up packet is positionally transferred in the start-up surface; The external network port accesses data through the access end of the sub-data space, the authorized network port accesses according to the data node marked in the sensing surface, connects to the data node in the start-up surface through the data node marked in the sensing surface, and then connects to the start-up packet connected to the data node in the start-up surface; When an unauthorized network port accesses the marked data node, the marked data node communicates to the corresponding data node in the start-up surface as an abnormal point, and determines the data node closest to the network position of the abnormal point as a target point; A plurality of start-up points are enabled, the plurality of start-up points are sequentially and chain-connected to obtain a start-up line, the start-up points at both ends of the start-up line are connected to the abnormal point and the target point respectively, the start-up packet is transferred to the target point through the start-up line, the target point and the abnormal point provide the connection relationship with the start-up packet to the corresponding data node in the sensing surface, and the data node in the sensing surface corresponding to the target point is marked.

6. An anti-cheating monitoring system of a platform scale based on Internet of Things, used to implement the anti-cheating monitoring method of the platform scale based on Internet of Things in any one of claims 1-5, characterized in that, It includes: The setting module is used for setting the Internet of Things platform, connecting the scale terminal based on the Internet of Things platform, and binding the scale terminal according to the code and the data packet in the Internet of Things platform; The acquisition module is connected with the setting module and is used for acquiring device information of the scale, wherein the device information includes sensor information and weighing information, and the device information is transmitted to the corresponding data packet in the Internet of Things platform through the scale terminal; The storage module is connected with the acquisition module and is used for securely storing the device information through the data packet, analyzing the device information, taking the device information that does not meet the preset condition as abnormal information, and taking the scale corresponding to the abnormal information as an abnormal scale to be reminded.

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