Out-of-factory ash scale unattended weighing system and method based on intelligent identification

Abstract

The invention discloses an off-plant ash scale unattended weighing system and method based on intelligent identification, and relates to the technical field of intelligent weighing systems, and the method comprises the steps: obtaining the identification information of a vehicle through an automatic vehicle identification module; comparing the identification information of the vehicle with a database; carrying out weighing operation through an automatic weighing module, and generating weighing data; weighing data are monitored in real time through an anomaly detection and alarm module; and the data information is transmitted to the central data platform through the data transmission and storage module. Efficient identification and authorization confirmation of the vehicle are achieved through the vehicle automatic identification module, and errors caused by manual operation are avoided; the automatic weighing module accurately collects and records weighing data in real time, so that the accuracy of the data is improved; the abnormity detection and alarm module monitors overload, equipment faults and illegal operation conditions in the weighing process in real time, and it is ensured that the system can quickly respond and give an alarm when abnormity occurs.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent weighing systems, and in particular to an unattended weighing system and method for off-site gray scales based on intelligent identification. Background Art

[0002] With the rapid development of industrial automation and intelligent technology, weighing systems have gradually shifted from traditional manual operation modes to unmanned and automated directions. In particular, in application scenarios such as bulk cargo transportation and industrial waste treatment, the demand for unmanned weighing systems has increased significantly. The off-site gray scale weighing system is one of the key equipment in the external transportation link of industrial production. Its functions mainly include vehicle identification, weight measurement, data storage and transmission, etc. In early weighing systems, manual operation was often relied on for vehicle registration, weighing and data recording. However, manual operation is not only inefficient and costly, but also has human errors, which makes it difficult to meet the needs of efficient and accurate industrial management. To this end, emerging technical means such as intelligent identification technology, Internet of Things transmission technology and remote monitoring technology have been introduced in recent years, and the automated management of unmanned weighing systems has been gradually realized. However, in practical applications, the integration and optimization of these technologies have not yet fully matured, especially in terms of reliability and accuracy in complex industrial environments. There are still technical bottlenecks.

[0003] The existing unattended weighing technology mainly faces the following problems in practical applications: First, the vehicle identification technology of the existing system is susceptible to interference in a specific environment, resulting in identification errors or failures, which in turn affects the accuracy and stability of the weighing process. In addition, during the transmission and storage of weighing data, due to high real-time requirements for data, limited transmission links or abnormal equipment status, data may be missing or delayed, which in turn affects the effectiveness of subsequent management decisions. Most of the existing anomaly detection technologies use simple threshold judgments and fail to make full use of weighing data and equipment status data for intelligent analysis, resulting in low accuracy of anomaly detection and difficulty in timely response to emergencies such as equipment failures or illegal operations. In contrast, the present invention can effectively improve the accuracy and unmanned level of the off-site gray scale system by introducing an automated management system based on intelligent identification, and realize the intelligent integration of vehicle identification, weighing, data storage, anomaly monitoring and remote monitoring functions through a multi-module collaborative processing mechanism, thereby providing a more efficient and reliable weighing management solution in industrial production. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to avoid human errors, ensure the reliability of weighing data, solve the low efficiency and high error rate of traditional manual operation, and how to timely identify overload, equipment failure or illegal operation.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an unattended weighing system for off-site gray scales based on intelligent identification, which comprises the following steps:

[0007] Vehicle automatic identification module, automatic weighing module, abnormality detection and alarm module, data transmission and storage module, and remote control and monitoring module.

[0008] As a preferred solution of the unattended weighing system of the off-site gray scale based on intelligent identification described in the present invention, the vehicle automatic identification module automatically identifies the vehicle information entering and leaving the off-site gray scale area by means of RFID tags.

[0009] The automatic weighing module is responsible for automatically starting the weighing device and recording vehicle data.

[0010] The abnormality detection and alarm module monitors abnormal conditions during the entire weighing process.

[0011] The data transmission and storage module transmits the weighing data and vehicle identification information to the central data platform in real time and stores them securely.

[0012] The remote control and monitoring module monitors the operating status of the off-site ash scale in real time through the remote control platform.

[0013] Another object of the present invention is to provide an unattended weighing method for an off-site gray scale based on intelligent identification, which can achieve accurate identification of vehicles entering and leaving the off-site gray scale and efficient management of weighing data through the coordinated work of functions such as automatic vehicle identification, real-time data transmission, intelligent abnormality monitoring and alarm, thereby ensuring the accuracy and safety of weighing operations in an unattended manner, and solving the problems of existing systems in terms of poor data collection accuracy, slow abnormality detection response, and high demand for manual intervention.

[0014] In order to solve the above technical problems, the present invention provides the following technical solutions: an unattended weighing method of an off-site gray scale based on intelligent identification, comprising:

[0015] The vehicle identification information is obtained through the vehicle automatic identification module; the vehicle identification information is compared with the database; the weighing operation is performed through the automatic weighing module and the weighing data is generated; the weighing data is monitored in real time through the abnormality detection and alarm module; the data information is transmitted to the central data platform through the data transmission and storage module.

[0016] As a preferred solution of the unattended weighing method of off-site gray scale based on intelligent identification described in the present invention, the obtaining of vehicle identification information includes automatically obtaining and confirming the unique identification information of the vehicle through RFID reading, and recording the entry time of the vehicle.

[0017] As a preferred solution of the unattended weighing method of off-site gray scale based on intelligent identification described in the present invention, wherein: the comparison of the vehicle's identification information with the database includes comparing the vehicle's unique identification information with a preset vehicle database, checking the vehicle's safety compliance, and confirming whether the vehicle has weighing authority. If the vehicle passes the verification, it means it has weighing authority, then the central data platform notifies the driver of the weighing preparation status through the display screen and allows him to enter the weighing preparation. If the vehicle fails the verification, it means it does not have weighing authority, then an alarm is triggered and the alarmed vehicle is refused to enter the weighing area.

[0018] When a vehicle has the weighing authority, the vehicle automatic identification module automatically generates a weighing task sheet for the corresponding vehicle, including the vehicle's identification information, vehicle number, vehicle type and destination.

[0019] When a vehicle does not have the weighing authority, the vehicle automatic identification module will store the failure record of the corresponding vehicle into the central data platform.

[0020] The failure record includes the unique identification of the vehicle, the reason and the time.

[0021] As a preferred solution of the unattended weighing method of off-site gray scale based on intelligent identification described in the present invention, the weighing operation performed by the automatic weighing module includes: after the vehicle enters the weighing area, the automatic weighing module detects whether there is associated weighing data in the unique identification information of the vehicle. If there is no associated weighing information, the automatic weighing module detects the vehicle position and prepares to perform the weighing operation.

[0022] The vehicle's weighing data is collected during the weighing process, and after the weighing is completed, the weighing data is associated with the vehicle's identification information.

[0023] If the automatic weighing module detects that the vehicle's unique identification information has associated weighing data, it means that the vehicle is not weighed once. The automatic weighing module sends a request to the central data platform whether to weigh the vehicle. After receiving the request, the central data platform checks the corresponding vehicle. If the number of weighing times of the corresponding vehicle reaches the maximum value within the limited time, the central data platform issues an instruction to refuse weighing.

[0024] If the number of weighing times for the corresponding vehicle does not reach the maximum value within the time limit, the central data platform will issue an instruction to agree to the weighing. After the central data platform sends the consent information, the automatic weighing platform will weigh the vehicle again.

[0025] The weighing data includes the gross weight and the net weight of the vehicle.

[0026] As a preferred solution of the unattended weighing method of off-site gray scale based on intelligent identification described in the present invention, the real-time monitoring of weighing data through the abnormal detection and alarm module includes: the abnormal detection and alarm module pre-sets the maximum load limit of the vehicle. If the current weighing data of the vehicle exceeds the maximum load limit, it indicates overload. When overload is detected, the local sound and light alarm device is immediately triggered, and the alarm information is sent to the central control platform.

[0027] As a preferred solution of the unattended weighing method of off-site gray scale based on intelligent identification described in the present invention, the data information includes weighing data, vehicle information, and vehicle entry and exit time.

[0028] The vehicle information includes a vehicle number and a vehicle type.

[0029] The transmitting of data information to the central data platform includes: the vehicle that has completed weighing leaves the gray scale area, the vehicle automatic identification module automatically records the exit time, and transmits the integrated data information to the central data platform.

[0030] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned unattended weighing method of an off-site gray scale based on intelligent identification are implemented.

[0031] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the unattended weighing method of an off-site gray scale based on intelligent identification as described above.

[0032] The beneficial effects of the present invention are as follows: the present invention realizes efficient identification and authorization confirmation of vehicles through the vehicle automatic identification module, avoiding errors caused by manual operation; the automatic weighing module accurately collects and records weighing data in real time, improving the accuracy of the data; the abnormality detection and alarm module monitors overload, equipment failure and illegal operation in the weighing process in real time, ensuring that the system can respond quickly and alarm when an abnormality occurs; the data transmission and storage module transmits key data such as weighing data and vehicle information to the central data platform in real time, ensuring the security and traceability of the data; the remote control and monitoring module provides real-time remote monitoring function, so that management personnel can efficiently manage the weighing process even when there is no one on duty, significantly improving the automation level and operation efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0034] Figure 1 The overall framework diagram of the unattended weighing system of an off-site gray scale based on intelligent identification provided in the first embodiment of the present invention.

[0035] Figure 2 An overall flow chart of an unattended weighing method for an off-site gray scale based on intelligent identification provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0037] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides an unattended weighing system for off-site ash scales based on intelligent identification, characterized in that:

[0038] Vehicle automatic identification module 100, automatic weighing module 200, abnormality detection and alarm module 300, data transmission and storage module 400 and remote control and monitoring module 500.

[0039] The vehicle automatic identification module 100 automatically identifies the vehicle information entering and leaving the gray scale area outside the factory by means of RFID tags.

[0040] The automatic weighing module 200 is responsible for automatically starting the weighing device and recording vehicle data.

[0041] The abnormality detection and alarm module 300 monitors abnormal conditions during the entire weighing process.

[0042] The data transmission and storage module 400 transmits the weighing data and vehicle identification information to the central data platform in real time and stores them securely.

[0043] The remote control and monitoring module 500 monitors the operating status of the off-site ash scale in real time through the remote control platform.

[0044] Example 2, reference Figure 2, is an embodiment of the present invention, and provides a method for an unattended weighing system of an off-site ash scale based on intelligent identification, characterized in that:

[0045] S1: Obtain vehicle identification information through the vehicle automatic identification module.

[0046] Obtaining the vehicle's identification information includes automatically obtaining and confirming the vehicle's unique identification information through RFID reading, and recording the vehicle's entry time.

[0047] In this step, the vehicle automatic identification module uses RFID reading to automatically obtain the unique identification information of the vehicle and record the vehicle's entry time. The keyword "RFID" (radio frequency identification) is a technology that automatically identifies objects based on radio waves, and can collect information at a distance without contact. Its advantage is that it improves the speed and accuracy of information acquisition. Through this step, incoming vehicles can be accurately identified without human intervention, and all identification data is immediately associated with the vehicle's entry time, realizing the standardization and efficient processing of vehicle identification data, laying the foundation for the smooth progress of subsequent weighing links.

[0048] S2: Compare the vehicle's identification information with the database.

[0049] Comparing the vehicle's identification information with the database includes comparing the vehicle's unique identification information with the preset vehicle database, checking the vehicle's safety compliance, and confirming whether the vehicle has weighing authority. If the vehicle passes the verification, it means it has weighing authority, and the central data platform notifies the driver of the weighing preparation status through the display screen and allows the driver to enter the weighing preparation. If the vehicle fails the verification, it means it does not have weighing authority, and an alarm is triggered to refuse the alarm vehicle from entering the weighing area.

[0050] When a vehicle has the weighing authority, the vehicle automatic identification module automatically generates a weighing task sheet for the corresponding vehicle, including the vehicle's identification information, vehicle number, vehicle type and destination.

[0051] When a vehicle does not have the weighing authority, the vehicle automatic identification module will store the failure record of the corresponding vehicle into the central data platform.

[0052] The failure record includes the unique identification of the vehicle, the reason and the time.

[0053] By comparing the vehicle identification information with the preset database, the system confirms whether the vehicle has the weighing authority. The keyword "comparison" here refers to the verification of the real-time collected vehicle data with the stored authorization data to ensure that the vehicles entering the weighing area meet the management requirements. The beneficial effect of this step is that it effectively prevents unauthorized vehicles from entering the weighing area through the automated identity verification link, which not only improves the security of the weighing area, but also saves time for manual verification and improves the overall automation of the system. If the comparison fails, the system will trigger an audible and visual alarm and prevent the vehicle from entering, reducing the risk of human management errors.

[0054] S3: Perform weighing operation through the automatic weighing module and generate weighing data.

[0055] The weighing operation performed by the automatic weighing module includes that after the vehicle enters the weighing area, the automatic weighing module detects whether there is associated weighing data with the vehicle's unique identification information. If there is no associated weighing information, the automatic weighing module detects the vehicle's position and prepares to perform the weighing operation.

[0056] The vehicle's weighing data is collected during the weighing process, and after the weighing is completed, the weighing data is associated with the vehicle's identification information.

[0057] If the automatic weighing module detects that the vehicle's unique identification information has associated weighing data, it means that the vehicle is not weighed once. The automatic weighing module sends a request to the central data platform whether to weigh the vehicle. After receiving the request, the central data platform checks the corresponding vehicle. If the number of weighing times of the corresponding vehicle reaches the maximum value within the limited time, the central data platform issues an instruction to refuse weighing.

[0058] If the number of weighing times for the corresponding vehicle does not reach the maximum value within the time limit, the central data platform will issue an instruction to agree to the weighing. After the central data platform issues the consent information, the automatic weighing platform will weigh the vehicle again;

[0059] The weighing data includes the gross weight and net weight of the vehicle.

[0060] In this step, after the vehicle enters the weighing area, the automatic weighing module starts the weighing operation and collects the gross weight and net weight data of the vehicle. The keyword "automatic weighing" reflects the automation capability of the system, that is, by controlling the weighing process through the intelligent module, the system can detect the vehicle position in real time, automatically complete the weighing and associate the vehicle identification information. The purpose and effect of this step is to improve the accuracy of the weighing data, avoid human interference and operational errors, and realize the automatic association of the vehicle and weighing data, which is conducive to the integrity and consistency of data management. In addition, the correlation between automatic weighing data and vehicle information provides a reliable basis for subsequent analysis and management.

[0061] S4: Real-time monitoring of weighing data through anomaly detection and alarm modules.

[0062] Real-time monitoring of weighing data through the abnormal detection and alarm module includes pre-setting the maximum load limit of the vehicle. If the current vehicle weighing data exceeds the maximum load limit, it indicates overload. When overload is detected, the local sound and light alarm device is immediately triggered, and the alarm information is sent to the central control platform.

[0063] S5: Transmit data information to the central data platform through the data transmission and storage module.

[0064] The data information includes weighing data, vehicle information, and vehicle entry and exit time.

[0065] Vehicle information includes vehicle number and vehicle type.

[0066] Transmitting data information to the central data platform includes the following: the vehicle that has completed weighing leaves the gray scale area, the vehicle automatic identification module automatically records the exit time, and transmits the integrated data information to the central data platform.

[0067] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0069] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0070] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The unattended weighing system of off-site ash scale based on intelligent identification is characterized by: include: A vehicle automatic identification module (100), an automatic weighing module (200), an abnormality detection and alarm module (300), a data transmission and storage module (400), and a remote control and monitoring module (500).

2. The unattended weighing system for off-site ash scales based on intelligent identification as claimed in claim 1, characterized in that: The vehicle automatic identification module (100) automatically identifies the vehicle information entering and leaving the off-site gray scale area by means of RFID tags; The automatic weighing module (200) is responsible for automatically starting the weighing device and recording vehicle data; The abnormality detection and alarm module (300) monitors abnormal conditions during the entire weighing process; The data transmission and storage module (400) transmits the weighing data and vehicle identification information to the central data platform in real time and stores them securely; The remote control and monitoring module (500) monitors the operating status of the off-site ash scale in real time through a remote control platform.

3. A method using the unattended weighing system of an off-site ash scale based on intelligent identification as claimed in any one of claims 1 to 2, characterized in that: include: Obtaining vehicle identification information through a vehicle automatic identification module; Compare the vehicle's identification information with the database; The weighing operation is performed through the automatic weighing module and the weighing data is generated; Real-time monitoring of weighing data through anomaly detection and alarm modules; The data information is transmitted to the central data platform through the data transmission and storage module.

4. The unattended weighing method of an off-site gray scale based on intelligent identification as claimed in claim 3 is characterized in that: The obtaining of the identification information of the vehicle includes automatically obtaining and confirming the unique identification information of the vehicle by means of RFID reading, and recording the entry time of the vehicle.

5. The unattended weighing method of an off-site gray scale based on intelligent identification as claimed in claim 4, characterized in that: The comparing of the vehicle identification information with the database includes comparing the unique identification information of the vehicle with the preset vehicle database, checking the safety compliance of the vehicle, and confirming whether the vehicle has the weighing authority. If the vehicle passes the verification, it means that it has the weighing authority, then the central data platform notifies the driver of the weighing preparation status through the display screen and allows the driver to enter the weighing preparation. If the vehicle fails the verification, it means that it does not have the weighing authority, then an alarm is triggered, and the alarm vehicle is refused to enter the weighing area; When a vehicle has the weighing authority, the vehicle automatic identification module automatically generates a weighing task list for the corresponding vehicle, including the vehicle identification information, vehicle number, vehicle type and destination; When a vehicle does not have the weighing authority, the vehicle automatic identification module will store the failure record of the corresponding vehicle into the central data platform; The failure record includes the unique identification of the vehicle, the reason and the time.

6. The unattended weighing method of an off-site gray scale based on intelligent identification as claimed in claim 5, characterized in that: The performing of the weighing operation by the automatic weighing module includes, after the vehicle enters the weighing area, the automatic weighing module detects whether there is any associated weighing data with the unique identification information of the vehicle, and if there is no associated weighing information, the automatic weighing module detects the position of the vehicle and prepares to perform the weighing operation; The weighing data of the vehicle is collected during the weighing process, and the weighing data is associated with the identification information of the vehicle after the weighing is completed; If the automatic weighing module detects that there is associated weighing data with the unique identification information of the vehicle, it means that the vehicle is not weighed once. The automatic weighing module sends a request to the central data platform whether to weigh the vehicle. After receiving the request, the central data platform verifies the corresponding vehicle. If the number of weighing times of the corresponding vehicle reaches the maximum value within the limited time, the central data platform issues an instruction to refuse weighing; If the number of weighing times for the corresponding vehicle does not reach the maximum value within the time limit, the central data platform will issue an instruction to agree to the weighing. After the central data platform issues the consent information, the automatic weighing platform will weigh the vehicle again; The weighing data includes the gross weight and the net weight of the vehicle.

7. The unattended weighing method of an off-site gray scale based on intelligent identification as claimed in claim 6, characterized in that: The real-time monitoring of weighing data through the abnormal detection and alarm module includes: the abnormal detection and alarm module pre-sets the maximum load limit of the vehicle. If the current weighing data of the vehicle exceeds the maximum load limit, it indicates overload. When overload is detected, the local sound and light alarm device is immediately triggered, and the alarm information is sent to the central control platform.

8. The unattended weighing method of an off-site gray scale based on intelligent identification as claimed in claim 7, characterized in that: The data information includes weighing data, vehicle information, and vehicle entry and exit time; The vehicle information includes vehicle number and vehicle type; The transmitting of data information to the central data platform includes: the vehicle that has completed weighing leaves the gray scale area, the vehicle automatic identification module automatically records the exit time, and transmits the integrated data information to the central data platform.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the unattended weighing method of an off-site gray scale based on intelligent identification as described in any one of claims 3 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the unattended weighing method of an off-site gray scale based on intelligent identification as described in any one of claims 1 to 7 are implemented.

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