Anti-cheating monitoring method and system of platform scale based on Internet of Things

Abstract

The invention discloses an anti-cheating monitoring method and system for a platform scale based on the Internet of Things, and relates to the technical field of platform scale monitoring, an Internet of Things platform is arranged, a platform scale terminal is connected based on the Internet of Things platform, and the platform scale terminal is bound with a data packet in the Internet of Things platform according to a code; equipment information of the platform scale is collected, the equipment information comprises sensor information and weighing information, and the equipment information is transmitted to a data packet corresponding to the Internet of Things platform through the platform scale terminal; and the equipment information is safely stored through the data packet, the equipment information is analyzed, the equipment information which does not conform to a preset condition is used as abnormal information, and the platform scale corresponding to the abnormal information is used as an abnormal platform scale for reminding. According to the invention, security technologies such as encrypted storage and access control are adopted for data packets, so that the data are prevented from being tampered and stolen in a storage link. The method supports the backtracking of historical weighing records and equipment states at any time, guarantees the safety of data, and guarantees the accuracy of platform scale cheating analysis.

Description

Technical Field

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

[0002] In the field of trade settlement, whether it is retail transactions in farmers' 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 supervision means of traditional platform scales, cheating behaviors occur frequently. The popularization of Internet of Things technology provides a new path to solve these problems, but it is difficult to ensure the security of the data stored for platform scale monitoring, and it is easy to be accessed and tampered with, resulting in inaccurate analysis of platform scale cheating. Summary of the Invention

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

[0004] To achieve the above purpose, the present invention provides the following technical solution: An anti-cheating monitoring method for a platform scale based on the Internet of Things, including the following steps: Set up an Internet of Things platform, connect the platform scale terminal based on the Internet of Things platform, and the platform scale terminal is bound to the data packet in the Internet of Things platform according to the encoding; Collect the device information of the platform scale, where the device information includes sensor information and weighing information, and transmit the device information to the corresponding data packet in the Internet of Things platform through the platform scale terminal; Safely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset conditions as abnormal information, and remind the platform scale corresponding to the abnormal information as an abnormal platform scale.

[0005] In a preferred embodiment, the step of setting up the Internet of Things platform, connecting the platform scale terminal based on the Internet of Things platform, and the platform scale terminal being bound to the data packet in the Internet of Things platform according to the encoding includes: Determine the platform scales to be monitored and configure ports as platform scale terminals; Correspondingly mark the encoding of the platform scale, and bind the encoding with the information of the platform scale terminal; 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 encoding corresponding to the platform scale terminals, and bind the data packets with the corresponding platform scale terminals one by one according to the encoding; Connect the data packet to the corresponding platform scale terminal through the Internet of Things platform for communication.

[0006] In a preferred embodiment, the step of setting multiple data packets in the Internet of Things platform includes: 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. Among them, the take - off surface includes multiple data nodes, and multiple take - off points are set in each of the multiple sub - data spaces; Set a take - off packet on the take - off surface, and set connection ports corresponding to the take - off packet. Among them, the connection ports include node ports and access ports. The take - off packet is connected to the data nodes through the node ports, and the take - off packet is connected to the authorized network ports through the access ports; Copy the take - off surface as the induction surface, connect the data nodes in the induction surface with the corresponding data nodes in the take - off surface, set the induction surface in the sub - data space, and establish a connection between the external network port and the sub - data space through the access end of the sub - data space to obtain data packets.

[0007] In a preferred embodiment, the step of setting the induction surface in the sub - data space and establishing a connection between the external network port and the sub - data space through the access end of the sub - data space includes: Set an access end corresponding to the sub - data space, connect all the multiple data nodes in the induction surface to the access end, and the induction surface is between the access end and the take - off surface; The data nodes in the take - off surface provide the connection relationship with the take - off packet to the data nodes in the induction surface. Among them, the connection relationship includes connected and unconnected, and mark the data nodes in the induction surface corresponding to the connected ones.

[0008] In a preferred embodiment, the step of transmitting device information to the corresponding data packet in the Internet of Things platform through the weighing scale terminal includes: Collect the sensor information and weighing information of the weighing scale based on the sensor as device information; Transmit the device information to the corresponding data packet in the Internet of Things platform through the weighing scale terminal.

[0009] In a preferred embodiment, the step of securely storing the device information through the data packet, analyzing the device information, taking the device information that does not meet the preset conditions as abnormal information, and reminding the weighing scale corresponding to the abnormal information as an abnormal weighing scale includes: The device information is stored in the take - off packet in the data packet. When there is an unauthorized network port access information packet, transfer the position of the take - off packet in the take - off surface; Analyze the device information in the take - off packet to obtain an analysis result. Among them, the analysis result includes the corresponding parameter type and specific parameter results; Set preset conditions for the corresponding parameter types. The preset conditions are the parameter limit ranges for the corresponding parameter types. Device information that does not meet the preset conditions is regarded as abnormal information, and the platform scale corresponding to the abnormal information is used as an abnormal platform scale for reminder.

[0010] In a preferred embodiment, the device information is stored in the take-off packet in the data packet. When there is unauthorized network port access to the information packet, the step of transferring the take-off packet in the take-off plane includes: The external network port accesses data through the access end of the sub-data space, accesses the authorized network port according to the data nodes marked in the induction plane, connects to the data nodes in the take-off plane through the data nodes marked in the induction plane, and then connects to the take-off packet connected to the data nodes in the take-off plane for connection access; When there is unauthorized network port access to the marked data node, it is communicated and prompted to the corresponding data node in the take-off plane through the marked data node as an abnormal point, and the data node with the closest network position to the abnormal point is determined as the target point; Enable multiple take-off points, sequentially connect the multiple take-off points in a chain to obtain a take-off line, connect the take-off points at both ends of the take-off line to the abnormal point and the target point respectively, transfer the take-off packet to the target point through the take-off line, and the target point and the abnormal point respectively provide the connection relationship with the take-off packet to the corresponding data nodes in the induction plane, and mark the data nodes in the induction plane corresponding to the target point.

[0011] The present invention also provides an anti-cheating monitoring system for a platform scale based on the Internet of Things, including: A setting module, used to set the Internet of Things platform, connect to the platform scale terminal based on the Internet of Things platform, and the platform scale terminal is bound to the data packet in the Internet of Things platform according to the encoding; An acquisition module, connected to the setting module, used to acquire the device information of the platform scale. Among them, the device information includes sensor information and weighing information, and transmits the device information to the corresponding data packet in the Internet of Things platform through the platform scale terminal; A storage module, connected to the acquisition module, used to securely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset conditions as abnormal information, and use the platform scale corresponding to the abnormal information as an abnormal platform scale for reminder.

[0012] In the above technical solution, the technical effects and advantages provided by the present invention: In the present invention, the data packet adopts security technologies such as encrypted storage and access control to ensure that the data is not tampered with or stolen during the storage process. It supports tracing back the historical weighing records and device status at any time, ensures the security of the data, and thus ensures the accuracy of the platform scale cheating analysis. Description of the Drawings

[0013] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for use in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings.

[0014] Figure 1 It is the flowchart of the method of the present invention.

[0015] Figure 2 It is the system block diagram of the present invention. Specific implementation manners

[0016] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0017] Embodiment 1. Please refer to Figure 1 As shown, a method for anti-cheating monitoring of a platform scale based on the Internet of Things in this embodiment includes the following steps: S1. Set up an Internet of Things platform, connect the platform scale terminal based on the Internet of Things platform, and the platform scale terminal is bound to the data packet in the Internet of Things platform according to the encoding. S2. Collect the device information of the platform scale. Among them, the device information includes sensor information and weighing information, and transmit the device information to the corresponding data packet in the Internet of Things platform through the platform scale terminal. S3. Securely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset conditions as abnormal information, and use the platform scale corresponding to the abnormal information as an abnormal platform scale for reminder.

[0018] In one embodiment, step S1 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 to the data packet in the Internet of Things platform according to the encoding includes: S11. Determine the platform scales to be monitored and configure ports as platform scale terminals. S12. Mark the corresponding encoding for the platform scale, and bind the encoding with the platform scale terminal for information. 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 encoding corresponding to the platform scale terminals, and bind the data packets with the corresponding platform scale terminals one by one according to the encoding. S14. Communicate and connect the data packet with the corresponding weighing scale terminal through the Internet of Things platform.

[0019] In one embodiment, step S13 of setting multiple data packets in the Internet of Things platform includes: 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. Among them, the take-off surface includes multiple data nodes, and set multiple take-off points in each of the multiple sub-data spaces; S132. Set a take-off packet (virtual machine) on the take-off surface, and set a connection port corresponding to the take-off packet. Among them, the connection port includes a node port and an access port. The take-off packet is connected to the data node through the node port, and the take-off packet is connected to the authorized network port through the access port; S133. Copy the take-off surface as the induction surface, connect the data nodes in the induction surface with the corresponding data nodes in the take-off surface, set the induction surface in the sub-data space, and establish a 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 to obtain a data packet; In one embodiment, step S133 of setting the induction surface in the sub-data space and establishing a connection between the external network port and the sub-data space through the access end of the sub-data space includes: S1331. Set an access end corresponding to the sub-data space, connect all the data nodes in the induction surface to the access end, and the induction surface is between the access end and the take-off surface; S1332. The data nodes in the take-off surface provide the connection relationship with the take-off packet to the data nodes in the induction surface. Among them, the connection relationship includes connected and unconnected, and mark the data nodes in the induction surface corresponding to the connected ones.

[0020] As described in the above steps S11 - S14, hundreds of Internet of Things weighing scales are deployed in large urban farmers' markets or chain supermarkets for daily commodity weighing and settlement. Relevant personnel need to monitor the scale data in real time to prevent merchants from shortchanging customers by tampering with the equipment. Consumers use the scales frequently, resulting in a large amount of data access; some merchants may try to obtain or tamper with the data through certain means. Each scale is assigned a unique code and a data terminal, and the data is uploaded in real time to an independent sub - data space on the Internet of Things platform; when the data of a certain scale is accessed without authorization (such as when a merchant tries to access the take - off packet storing device information by cracking the port), the induction surface immediately triggers an alarm and transfers the take - off packet to a secure data node; by accessing the marked data node through the authorized port, the original weighing record of a certain scale can be retrieved at any time to ensure the fairness of transactions. For example, in the field of people's livelihood, to protect the rights and interests of consumers, the weighing scales in farmers' markets and large supermarkets need to be monitored. Before monitoring, the objects to be monitored are first determined, that is, the weighing scales in the market that need to be monitored are used as the monitoring objects. First, ports for information transmission are configured for the corresponding scales as scale terminals, and the scales are encoded to enable differentiated management and data monitoring of the scales. The code is information - bound to the scale terminal, and the equipment information of the scales is collected and analyzed through the Internet of Things platform. 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, and one data packet corresponds to storing the equipment information of one scale terminal, enabling differentiated storage. The data packet is communicatively connected to the scale terminal through the Internet of Things platform. Specifically, the data packet is a sub - data space (memory) divided in the Internet of Things platform. Then, a take - off surface is set in the sub - data space. The take - off surface is the data space in the sub - data space for subsequent layout of data nodes. Then, multiple data nodes are arranged in the take - off surface. The data node is the data end in the sub - data space. The multiple data nodes are not connected to each other and are mutually isolated. The data node uses the sub - data space as a load and is connected to the sub - data space. The data node is used as the location point of the take - off packet. The take - off packet can move between multiple data nodes. Specifically, it is formed by overlapping multiple take - off points in the sub - data space. Here, the take - off point is a single virtual machine, which can be used as a communication node temporarily built for the communication channel to transmit the take - off packet. The take - off packet is a virtual machine that can be transmitted, store device information, and can also be accessed by an authorized network port. Subsequently, when an unauthorized network port accesses the data node corresponding to the take - off packet on the induction surface, the induction surface can notify the take - off surface, and then select other data nodes closest to the data node in the take - off surface. Then, a take - off channel (communication channel) between the current take - off point and the nearest other data node can be temporarily built through multiple take - off points. The take - off packet is transferred to other data nodes through the take - off channel to avoid unauthorized network port access, and the device information in the take - off packet is securely stored. The induction surface is the same as the take - off surface.The data nodes in the induction surface correspond one-to-one with the data nodes in the corresponding takeoff surface and are connected. The data nodes in the takeoff surface will notify the connection relationship of the data nodes in the induction surface. Here, the connection relationship is the connection relationship between the data nodes in the takeoff surface and the takeoff packet. There is one data packet in one takeoff surface, and only one data node is connected to the takeoff packet. Mark the data nodes in the corresponding induction surface that have been connected, indicating that the data nodes in this induction surface can be connected to the takeoff packet in the takeoff surface. This mark can only be obtained by the authorized network port and is in a hidden state. If other unauthorized network ports "follow the vine" through the marked data nodes in the induction surface and connect to the takeoff packet, the data nodes in the induction surface will notify the data nodes on the takeoff surface in advance. In this way, it will be "known" that the takeoff packet and the data nodes on the takeoff surface are in a connected state. Then, with the "help" of the takeoff point, the takeoff packet will "escape" to the nearest other data nodes, which has a good data storage protection effect, can ensure that the data will not be tampered with by unauthorized networks, ensure the security of the device information storage of the weighing scale, and thus ensure the accuracy of the analysis of whether the weighing scale is cheating.,

[0021] In one embodiment, the step S2 of transmitting the device information to the data packet corresponding to the Internet of Things platform through the weighing scale terminal includes: S21. Collect the sensor information and weighing information of the weighing scale based on the sensor as the device information; S22. Transmit the device information to the data packet corresponding to the Internet of Things platform through the weighing scale terminal.

[0022] As described in the above steps S21 - S22, collect the sensor information and weighing information of the weighing scale based on the sensor as the device information. Here, the sensors include weight sensors and voltage sensors, etc., which are sensors corresponding to data related to weighing scale cheating. Through the weight change rate of the weight sensor (such as increasing or decreasing ≤10 kg per second), if the rate suddenly increases or decreases significantly, there may be cheating by quickly adding or subtracting counterweights. The voltage sensor is used to collect the voltage change of the weighing scale. Features such as instantaneous voltage fluctuations, harmonic anomalies, power supply deviating from the nominal value, and sudden changes in dynamic power consumption represent possible cheating. Therefore, this part of the data is used as reference data for weighing scale cheating. Then, transmit the device information collected by the weighing scale through the weighing scale terminal. Finally, store the device information in the data packet in the Internet of Things platform for secure storage.

[0023] In one embodiment, the step S3 of securely storing the device information through the data packet, analyzing the device information, taking the device information that does not meet the preset conditions as abnormal information, and reminding the weighing scale corresponding to the abnormal information as an abnormal weighing scale includes: S31. The device information is stored in the takeoff packet of the data packet. When there is an unauthorized network port access information packet, the takeoff packet is transferred in position on the takeoff surface. S32. Analyze the device information in the takeoff packet to obtain an analysis result, where the analysis result includes the corresponding parameter type and the specific parameter result. S33. Set a preset condition for the corresponding parameter type. The preset condition is the parameter limit range of the corresponding parameter type. The device information that does not meet the preset condition is regarded as abnormal information, and the platform scale corresponding to the abnormal information is reminded as an abnormal platform scale.

[0024] In one embodiment, step S31 of transferring the takeoff packet in position on the takeoff surface when there is an unauthorized network port access information packet while the device information is stored in the takeoff packet of the data packet includes: S311. The external network port accesses data through the access end of the sub-data space, accesses the authorized network port according to the data nodes marked in the induction surface, connects to the data nodes in the takeoff surface through the data nodes marked in the induction surface, and then connects to and accesses the takeoff packet connected to the data nodes in the takeoff surface. S312. When an unauthorized network port accesses the marked data node, communicate and prompt through the marked data node to the corresponding data node in the takeoff surface as an abnormal point, and determine the data node with the closest network position to the abnormal point as the target point. S313. Enable multiple takeoff points, sequentially connect the multiple takeoff points in a chain to obtain a takeoff line, connect the takeoff points at both ends of the takeoff line to the abnormal point and the target point respectively, transfer the takeoff packet to the target point through the takeoff line, and the target point and the abnormal point respectively provide the connection relationship with the takeoff packet to the corresponding data nodes in the induction surface, and mark the data nodes in the induction surface corresponding to the target point.

[0025] As described in the above steps S31 - S33, after setting up the data packet, the Internet of Things platform can support data access. The end point of the access is the starting packet in the data packet. The sub - data space only allows authorized network ports to access it. However, there are still unauthorized network ports attempting to access the sub - data space. Therefore, in order to ensure the security of device information storage, a starting surface, a starting packet, a starting point, and an induction surface are set. When there is an access end of an external network port accessing the sub - data space, the induction surface can distinguish between authorized and unauthorized network ports. The authorized network port can find the data node in the accurate induction layer according to the mark that can only be recognized by the authorized network port. Here, the mark realizes the "mark" effect through a digital certificate (X.509 certificate) and is invisible. The data nodes in the induction layer are connected one - to - one with the data nodes in the corresponding starting surface. Therefore, the data nodes in the starting surface can be accessed according to the marked data nodes, and then the starting packet can be connected according to the data nodes in the starting surface. If an unauthorized network port accidentally accesses the marked data node in the induction layer, the data node can prompt the corresponding data node in the starting surface, indicating that the starting packet connected to the data node in the starting surface is not secure. Then, it is transferred through the starting point in the sub - data space that is ready to build a communication channel at any time. Specifically: Enable multiple starting points (the specific data is related to the network communication length that the starting point can connect, which is the network distance between the target point and the abnormal point), connect the multiple starting points in sequence to form a starting line (communication channel), connect the starting points at both ends of the starting line to the abnormal point and the target point respectively, and transfer (transmit) the starting packet through the starting line to the target point. The target point and the abnormal point respectively provide the connection relationship with the starting packet to the corresponding data nodes in the induction surface, and mark the data nodes in the induction surface corresponding to the target point. It can ensure the security of the starting packet, can adaptively change the network position according to the dangerous situation, and is not accessed by unauthorized networks, avoiding the tampering of device information in the starting packet, ensuring the accuracy of the analysis of the cheating situation of the platform scale. In addition, obtain the security of the data packet in the Internet of Things platform, and then understand the network security index of the corresponding platform scale, , is the network security index (range: 0 - 1, the higher the value, the more secure) is the total access times of the data nodes in the induction surface except those marked; is the total access times of the data nodes in the induction surface; is the access frequency of the marked data nodes in the induction surface; is the average access frequency of the data nodes in the induction surface; is the sensitivity parameter (adjust the curve slope, recommended k = 2); is the threshold parameter (recommended = 1).

[0026] Example 2. Please refer to Figure 2 As shown in the figure, the anti-cheating monitoring system of a platform scale based on the Internet of Things in this embodiment includes: A setting module, which is used to set up the Internet of Things platform, connect to the platform scale terminal based on the Internet of Things platform, and the platform scale terminal is bound to the data packet in the Internet of Things platform according to the encoding; An acquisition module, connected to the setting module, which is used to acquire the device information of the platform scale. Among them, 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 platform scale terminal; A storage module, connected to the acquisition module, which is used to securely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset conditions as abnormal information, and use the platform scale corresponding to the abnormal information as an abnormal platform scale for reminder.

[0027] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this 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, Including the following steps: Set up an Internet of Things (IoT) platform, connect a weighing scale terminal based on the IoT platform, and the weighing scale terminal is bound to the data packet in the IoT platform according to the encoding; Collect the device information of the weighing scale. Among them, the device information includes sensor information and weighing information, and transmit the device information to the corresponding data packet in the IoT platform through the weighing scale terminal; Securely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset conditions as abnormal information, and remind the weighing scale corresponding to the abnormal information as an abnormal weighing scale.

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 IoT platform, connecting the weighing scale terminal based on the IoT platform, and the weighing scale terminal being bound to the data packet in the IoT platform according to the encoding includes: Determine the weighing scales to be monitored and configure ports as weighing scale terminals; Mark the corresponding weighing scale encoding and bind the encoding to the information of the weighing scale terminal; Set multiple data packets in the IoT platform. The number of data packets is the same as the number of weighing scale terminals. Mark the data packets according to the encoding corresponding to the weighing scale terminal, and bind the data packets to the corresponding weighing scale terminals one by one according to the encoding; Connect the data packet to the corresponding weighing scale terminal through the IoT platform for communication.

3. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 2, characterized in that: The step of setting multiple data packets in the IoT platform includes: Set multiple sub-data spaces in the IoT platform, and set a starting surface in each of the multiple sub-data spaces. Among them, the starting surface includes multiple data nodes, and set multiple starting points in each of the multiple sub-data spaces; Set a starting packet on the starting surface, and set connection ports corresponding to the starting packet. Among them, the connection ports include node ports and access ports. The starting packet is connected to the data node through the node port, and the starting packet is connected to the authorized network port through the access port; Copy the starting surface as the sensing surface, connect the data nodes in the sensing surface to the corresponding data nodes in the starting surface, set the sensing surface in the sub-data space, and establish a connection between the external network port and the sub-data space through the access end of the sub-data space to obtain the data packet.

4. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 3, characterized in that: The step of setting the sensing surface in the sub-data space and establishing a connection between the external network port and the sub-data space through the access end of the sub-data space includes: Set an access end corresponding to the sub-data space, connect all the data nodes in the sensing surface to the access end, and the sensing surface is between the access end and the starting surface; The data nodes in the starting surface provide the connection relationship with the starting packet to the data nodes in the sensing surface. Among them, the connection relationship includes connected and unconnected, and mark the data nodes in the corresponding sensing surface of the connected ones.

5. A method for anti-cheating monitoring of a platform scale based on the Internet of Things according to claim 1, characterized in that: The step of transmitting the device information to the corresponding data packet in the IoT platform through the weighing scale terminal includes: Collect the sensor information and weighing information of the weighing scale based on the sensor as the device information; Transmit the device information to the corresponding data packet in the IoT platform through the weighing scale terminal.

6. The anti-cheating monitoring method of a platform scale based on the Internet of Things according to claim 4, characterized in that: The step of securely storing the device information through the data packet, analyzing the device information, regarding the device information that does not meet the preset conditions as abnormal information, and reminding the weighing scale corresponding to the abnormal information as an abnormal weighing scale includes: The device information is stored in the takeoff packet in the data packet. When there is an unauthorized network port access information packet, the takeoff packet is transferred in position in the takeoff plane; Analyze the device information in the takeoff packet to obtain an analysis result. Among them, the analysis result includes the corresponding parameter type and the specific parameter result; Set a preset condition for the corresponding parameter type. The preset condition is the parameter limit range of the corresponding parameter type. The device information that does not meet the preset condition is regarded as abnormal information, and the weighing scale corresponding to the abnormal information is reminded as an abnormal weighing scale.

7. A method for anti-cheating monitoring of a platform scale based on the Internet of Things according to claim 6, characterized in that: The step of transferring the takeoff packet in position in the takeoff plane when there is an unauthorized network port access information packet while the device information is stored in the takeoff packet in the data packet includes: The external network port accesses data through the access end of the sub-data space. The authorized network port accesses according to the data nodes marked in the induction plane, connects to the data nodes in the takeoff plane through the data nodes marked in the induction plane, and then connects to the takeoff packet connected to the data nodes in the takeoff plane for connection access; When there is an unauthorized network port accessing the marked data node, communicate through the marked data node to prompt the corresponding data node in the takeoff plane as an abnormal point, and determine the data node with the closest network position to the abnormal point as the target point; Enable multiple takeoff points, connect the multiple takeoff points in sequence to form a takeoff line, connect the takeoff points at both ends of the takeoff line to the abnormal point and the target point respectively, transfer the takeoff packet to the target point through the takeoff line, and the target point and the abnormal point respectively provide the connection relationship with the takeoff packet to the corresponding data nodes in the induction plane, and mark the data nodes in the induction plane corresponding to the target point.

8. An anti-cheating monitoring system for a platform scale based on the Internet of Things, which is used to implement the anti-cheating monitoring method for a platform scale based on the Internet of Things according to any one of claims 1-7, and is characterized in that, Include: A setting module, used to set up the Internet of Things platform, connect to the weighing scale terminal based on the Internet of Things platform, and the weighing scale terminal is bound to the data packet in the Internet of Things platform according to the encoding; A collection module, connected to the setting module, used to collect the device information of the weighing scale. Among them, the device information includes sensor information and weighing information, and transmits the device information to the corresponding data packet in the Internet of Things platform through the weighing scale terminal; A storage module, connected to the collection module, used to securely store the device information through the data packet, analyze the device information, regard the device information that does not meet the preset condition as abnormal information, and remind the weighing scale corresponding to the abnormal information as an abnormal weighing scale.

Images