Market supervision and inspection method and device and computer medium

Abstract

The invention relates to the technical field of intelligent Internet of Things, and particularly provides a market supervision and inspection method and device, and the method comprises the following steps: S1, an Internet of Things equipment deployment module collects market activity data in real time; s2, the data acquisition and transmission module transmits data to a data center by using a wireless network technology; s3, the data analysis and early warning module processes and analyzes the collected data; and S4, a supervision task generation and distribution module automatically generates a specific supervision task and distributes the task to a corresponding supervisor. S5, an inspection execution and feedback module performs field inspection according to the distributed tasks; and S6, performing system maintenance and upgrading, and improving functions and performance of the system. Compared with the prior art, the requirements of manual operation and intervention are greatly reduced, and the market supervision efficiency is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent Internet of Things, and specifically provides a market supervision and inspection method, device and computer medium. Background Art

[0002] The technical principles of this market supervision and inspection system based on intelligent Internet of Things technology mainly rely on advanced technologies such as Internet of Things technology, big data analysis technology and cloud computing.

[0003] First, IoT technology is the basis for realizing automated market supervision. By deploying IoT devices such as sensors, cameras, RFID tags, etc. at the regulated objects, relevant behaviors of the regulated objects can be collected in real time. These devices can connect the physical world with the digital world, allowing market supervision to be carried out in real time and accurately.

[0004] Secondly, big data analysis technology is the key to realizing intelligent market supervision. By processing and analyzing the large amount of data collected by IoT devices, the system can detect abnormal situations and potential risks and generate early warning information. Big data analysis technology can help regulators extract valuable information from massive data and improve the efficiency and accuracy of market supervision.

[0005] In addition, cloud computing technology provides powerful computing and storage capabilities for market supervision and inspection systems. Through the cloud computing platform, the system can realize centralized storage and sharing of data, allowing different regulatory departments to work together and improve the overall efficiency of regulatory work.

[0006] At present, market supervision and inspection work mainly rely on manual inspections and sampling tests, which has problems such as low efficiency, incomplete coverage, and delayed response. Summary of the invention

[0007] The present invention aims at solving the above-mentioned deficiencies of the prior art and provides a market supervision and inspection method with strong practicability.

[0008] A further technical task of the present invention is to provide a market supervision and inspection device that is reasonably designed, safe and applicable.

[0009] A further technical task of the present invention is to provide a computer-readable medium.

[0010] The technical solution adopted by the present invention to solve its technical problem is:

[0011] A market supervision and inspection method has the following steps:

[0012] S1. IoT device deployment module is responsible for deploying IoT devices at the regulated objects and collecting market activity data in real time;

[0013] S2, data collection and transmission module collects data in real time through IoT devices and transmits the data to the data center using wireless network technology;

[0014] S3, the data analysis and early warning module processes and analyzes the collected data, identifies abnormal situations and potential risks, and automatically generates early warning information and determines the warning level once an abnormal situation is detected;

[0015] S4. The supervision task generation and distribution module automatically generates specific supervision tasks based on the warning information and data analysis results, and distributes the tasks to the corresponding supervisors through the task distribution mechanism within the system.

[0016] S5. Inspection execution and feedback module conducts on-site inspections according to assigned tasks, records inspection results through the system, summarizes and analyzes the inspection results, and provides data support for subsequent supervision work;

[0017] S6. Perform system maintenance and upgrades to improve system functions and performance.

[0018] Furthermore, in step S1, it further includes:

[0019] S1-1. According to the needs of market supervision, IoT devices are deployed in key areas and regulatory objects to collect market activity data in real time;

[0020] S1-2. Build a system platform based on cloud computing technology.

[0021] Furthermore, in step S2, it further includes:

[0022] S2-1. IoT devices collect market activity data in real time according to preset collection frequencies and rules, and convert the data into a unified format for transmission;

[0023] S2-2. The collected data is transmitted to the data center of the system platform in real time through wireless network technology.

[0024] Furthermore, in step S3, it further includes:

[0025] S3-1, perform pre-processing operations such as cleaning, deduplication and formatting on the received data;

[0026] S3-2. Use big data analysis technology to conduct in-depth analysis of pre-processed data to identify abnormal situations and potential risks;

[0027] S3-3. Based on the analysis results, the system automatically generates early warning information, which is pushed to relevant supervisory personnel via SMS, email or system notification.

[0028] Furthermore, in step S4, it further includes:

[0029] S4-1. Based on the early warning information and data analysis results, the system automatically generates specific supervision tasks;

[0030] S4-2. The generated supervision tasks are assigned to the corresponding supervisors through the task distribution mechanism within the system.

[0031] Furthermore, in step S5, it further includes:

[0032] S5-1. Supervisors conduct on-site inspections according to assigned tasks, record inspection results, and upload inspection photos and video evidence materials;

[0033] S5-2. Supervisors will feed back the inspection results to the system platform through the system. The system will summarize and analyze the feedback results and generate a supervision report.

[0034] Furthermore, in step S5, it further includes:

[0035] S5-1. Regularly maintain the system platform, including equipment inspection, software update and data backup;

[0036] S5-2. Regularly upgrade and improve the system to enhance its functions and performance according to market supervision requirements and technological development.

[0037] A market supervision and inspection device, comprising: at least one memory and at least one processor;

[0038] The at least one memory is used to store a machine-readable program;

[0039] The at least one processor is used to call the machine-readable program to execute a market supervision and inspection method.

[0040] A computer-readable medium stores computer instructions, which, when executed by a processor, cause the processor to execute a market supervision and inspection method.

[0041] Compared with the prior art, the market supervision and inspection method, device and computer medium of the present invention have the following outstanding beneficial effects:

[0042] The present invention collects data in real time through Internet of Things devices and uses big data analysis technology. The system can automatically and intelligently process and analyze market activity data, thereby greatly reducing the need for manual operation and intervention and significantly improving the efficiency of market supervision.

[0043] The system uses preset rules and algorithms to accurately analyze the collected data, can promptly detect abnormal situations and potential risks, and generate detailed early warning information, thereby enhancing the accuracy of supervision.

[0044] The widespread deployment of IoT devices enables the system to achieve comprehensive coverage and real-time supervision of market activities, eliminating regulatory blind spots and ensuring the fair, orderly and healthy operation of the market.

[0045] The system can intelligently allocate supervision tasks based on factors such as the supervisor’s geographical location, professional field, and workload, thereby optimizing the allocation of supervision resources and improving the pertinence and effectiveness of supervision work.

[0046] The system provides rich data support and analysis functions to help regulators formulate scientific and reasonable regulatory strategies and measures, achieve data-driven decision-making, and improve the scientificity and effectiveness of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Attached Figure 1 It is a flow chart of a market supervision and inspection method. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] A best embodiment is given below:

[0051] like Figure 1 As shown, a market supervision and inspection method in this embodiment has the following steps:

[0052] S1. The IoT device deployment module is responsible for deploying IoT devices at the regulated objects and collecting market activity data in real time, including but not limited to business operations, product quality, personnel flow and other information.

[0053] Further including:

[0054] S1-1. According to the needs of market supervision, IoT devices, including sensors, cameras, RFID tags, etc., are deployed in key areas and supervision objects. These devices are responsible for collecting market activity data in real time, such as business behavior, product quality, personnel flow, etc.

[0055] S1-2. Build a system platform based on cloud computing technology, including data centers, servers, network equipment, etc. Ensure that the system platform has sufficient computing power and storage capacity to support the processing and storage of large amounts of data.

[0056] S1-3, develop software modules such as data collection and transmission module, data analysis and early warning module, supervision task generation and distribution module, and inspection execution and feedback module. These modules together constitute the core functions of the system to achieve data collection, processing, analysis and application.

[0057] S2, data collection and transmission module collects data in real time through IoT devices, and uses wireless network technology to transmit the data to the data center to ensure the real-time, accuracy and integrity of the data.

[0058] Further including:

[0059] S2-1. IoT devices collect market activity data in real time according to preset collection frequencies and rules, and convert the data into a unified format for transmission;

[0060] S2-2. The collected data is transmitted to the data center of the system platform in real time through wireless network technologies such as WiFi, 4G / 5G, etc., to ensure the real-time and accuracy of the data.

[0061] S3, the data analysis and early warning module processes and analyzes the collected data, identifies abnormal situations and potential risks, and automatically generates early warning information and determines the warning level once an abnormal situation is detected;

[0062] Further including:

[0063] S3-1. Perform pre-processing operations such as cleaning, deduplication, and formatting on the received data to improve data quality and analysis results.

[0064] S3-2. Use big data analysis technology to conduct in-depth analysis of pre-processed data to identify abnormal situations and potential risks. The analysis process may involve algorithms and technologies such as data mining and machine learning.

[0065] S3-3. Based on the analysis results, the system automatically generates warning information, including the description of the abnormal data, the time and location of occurrence, possible causes, and recommended countermeasures. The warning information can be pushed to relevant supervisors via SMS, email or system notification.

[0066] S4. The supervision task generation and distribution module automatically generates specific supervision tasks based on the warning information and data analysis results, and assigns the tasks to the corresponding supervisors through the task distribution mechanism within the system. The task content may include detailed information such as the inspection location, inspection content, and inspection requirements.

[0067] Further including:

[0068] S4-1. Based on the early warning information and data analysis results, the system automatically generates specific supervision tasks, including inspection locations, inspection contents, inspection requirements, etc.

[0069] S4-2. The generated supervision tasks are assigned to the corresponding supervisors through the task distribution mechanism within the system. The task distribution process can take into account factors such as the supervisor’s geographical location, professional field, and workload to achieve intelligent task distribution.

[0070] S5. Inspection execution and feedback module conducts on-site inspections according to assigned tasks and records the inspection results through the system. The system supports real-time uploading of inspection photos, videos and other evidence materials to ensure the authenticity and traceability of the inspection results. After the supervisor completes the inspection, the system summarizes and analyzes the inspection results to provide data support for subsequent supervision work.

[0071] Further including:

[0072] S5-1. Supervisors conduct on-site inspections according to assigned tasks, record inspection results, and upload inspection photos, videos and other evidence materials.

[0073] S5-2. Supervisors will feed back the inspection results to the system platform through the system. The system will summarize and analyze the feedback results and generate a supervision report to provide data support for subsequent supervision work.

[0074] S6. Perform system maintenance and upgrades to improve system functions and performance;

[0075] Further including:

[0076] S6-1. Regularly maintain the system platform, including equipment inspection, software update, data backup, etc., to ensure stable operation of the system and data security.

[0077] S6-2. Regularly upgrade and improve the system to enhance its functionality and performance based on market regulatory requirements and technological development.

[0078] Based on the above method, a market supervision and inspection device in this embodiment includes: at least one memory and at least one processor;

[0079] The at least one memory is used to store a machine-readable program;

[0080] The at least one processor is used to call the machine-readable program to execute a market supervision and inspection method.

[0081] A computer-readable medium stores computer instructions, which, when executed by a processor, cause the processor to execute a market supervision and inspection method.

[0082] The above-mentioned specific implementations are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above-mentioned specific implementations. Any technical solutions that comply with the claims of the present invention and any appropriate changes or substitutions made by ordinary technicians in the relevant technical field shall fall within the patent protection scope of the present invention.

[0083] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A market supervision and inspection method, characterized in that: The steps are as follows: S1. IoT device deployment module is responsible for deploying IoT devices at the regulated objects and collecting market activity data in real time; S2, data collection and transmission module collects data in real time through IoT devices and transmits the data to the data center using wireless network technology; S3, the data analysis and early warning module processes and analyzes the collected data, identifies abnormal situations and potential risks, and automatically generates early warning information and determines the warning level once an abnormal situation is detected; S4. The supervision task generation and distribution module automatically generates specific supervision tasks based on the warning information and data analysis results, and distributes the tasks to the corresponding supervisors through the task distribution mechanism within the system. S5. Inspection execution and feedback module conducts on-site inspections according to assigned tasks, records inspection results through the system, summarizes and analyzes the inspection results, and provides data support for subsequent supervision work; S6. Perform system maintenance and upgrades to improve system functions and performance.

2. A market supervision and inspection method according to claim 1, characterized in that: In step S1, further comprising: S1-1. According to the needs of market supervision, IoT devices are deployed in key areas and regulatory objects to collect market activity data in real time; S1-2. Build a system platform based on cloud computing technology.

3. A market supervision and inspection method according to claim 2, characterized in that: In step S2, further comprising: S2-1. IoT devices collect market activity data in real time according to preset collection frequencies and rules, and convert the data into a unified format for transmission; S2-2. The collected data is transmitted to the data center of the system platform in real time through wireless network technology.

4. A market supervision and inspection method according to claim 3, characterized in that: In step S3, further comprising: S3-1, perform pre-processing operations such as cleaning, deduplication and formatting on the received data; S3-2. Use big data analysis technology to conduct in-depth analysis of pre-processed data to identify abnormal situations and potential risks; S3-3. Based on the analysis results, the system automatically generates early warning information, which is pushed to relevant supervisory personnel via SMS, email or system notification.

5. A market supervision and inspection method according to claim 4, characterized in that: In step S4, further comprising: S4-1. Based on the early warning information and data analysis results, the system automatically generates specific supervision tasks; S4-2. The generated supervision tasks are assigned to the corresponding supervisors through the task distribution mechanism within the system.

6. A market supervision and inspection method according to claim 5, characterized in that: In step S5, further comprising: S5-1. Supervisors conduct on-site inspections according to assigned tasks, record inspection results, and upload inspection photos and video evidence materials; S5-2. Supervisors will feed back the inspection results to the system platform through the system. The system will summarize and analyze the feedback results and generate a supervision report.

7. A market supervision and inspection method according to claim 6, characterized in that: In step S5, further comprising: S5-1. Regularly maintain the system platform, including equipment inspection, software update and data backup; S5-2. Regularly upgrade and improve the system to enhance its functions and performance according to market supervision requirements and technological development.

8. A market supervision and inspection device, characterized in that: include: at least one memory and at least one processor; The at least one memory is used to store a machine-readable program; The at least one processor is configured to call the machine-readable program to execute the method according to any one of claims 1 to 7.

9. A computer-readable medium, characterized in that The computer readable medium stores computer instructions, which, when executed by a processor, cause the processor to perform the method of claims 1-7.

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