Method for detecting illegal operation of monitoring and sensing device based on beidou grid position code

Abstract

The embodiment of the application relates to the technical field of dangerous chemical production safety, and particularly relates to a method for detecting illegal operation based on a Beidou grid position code and a monitoring and sensing device, which comprises the following steps: dividing a production area of a dangerous chemical production workshop based on a Beidou grid position code standard to obtain a Beidou grid map, giving each grid unit a unique Beidou grid position code, and establishing a static attribute table and a dynamic attribute table; wherein the static attribute table is used for storing production station information, production staff information and monitoring and sensing device information, and the dynamic attribute table is used for storing data collected by the monitoring and sensing device in real time; based on the static attribute table and the dynamic attribute table, illegal operation detection is carried out when production staff arrives at a production station to work, in the process of preparing dangerous chemicals, when dangerous chemicals prepared are shipped, and after one shipment of dangerous chemicals is completed. The method can standardize the operation of production staff, and guarantee the life safety of the production staff and the property safety of an enterprise.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of hazardous chemical production safety, and in particular to a method for detecting illegal operation based on a Beidou grid position code and a monitoring and sensing device. BACKGROUND

[0002] With the rapid development of the economy, the demand for hazardous chemicals in various industries is increasing, and the number of hazardous chemical production enterprises is also increasing. However, hazardous chemicals are toxic, harmful, flammable and explosive, which poses a great challenge to the safety production of hazardous chemical production enterprises. Hazardous chemical accidents are characterized by ease of occurrence, suddenness, continuity, diffusion, difficulty in rescue, complex causes, and extensive social impact. They have always been the top priority of safety production work. Once a hazardous chemical production accident occurs, it will cause incalculable and unacceptable losses to the hazardous chemical production enterprise. Therefore, improving the safety production management level of hazardous chemicals is the key to solving the risk of hazardous chemical accidents. Only by strengthening safety production management can the safety of employees' lives and the safety of the enterprise's property be maximized, and the sustainable development of the hazardous chemical production industry can be ensured.

[0003] Currently, some research teams have proposed applying the 6S management scheme to hazardous chemical production safety management. The 6S management scheme consists of six parts: sorting (SEIRI), organizing (SEITON), cleaning (SEISO), cleaning (SEIKETSU), literacy (SHITSUKE), and safety (SAFETY). The 6S management scheme can effectively eliminate hidden dangers in hazardous chemical production enterprises, improve the efficiency of creating safety production standards, and enhance the refinement and standardization of safety management.

[0004] However, the 6S management scheme is a macro management, but in actual situations, it is a "micro" production employee who produces hazardous chemicals at the production station. The operation of the production employee is closely related to the safety of hazardous chemical production, and the illegal operation of the production employee may lead to a hazardous chemical production accident. Obviously, the 6S management scheme cannot timely detect whether the production employee has made an illegal operation. SUMMARY

[0005] Therefore, embodiments of the present application propose a method for detecting illegal operation based on a Beidou grid position code and a monitoring and sensing device, which can comprehensively and multi-angulary determine whether the production employee has made an illegal operation in a timely manner, thereby strengthening the safety production awareness of the production employee and effectively protecting the safety of the production employee's life and the property safety of the hazardous chemical enterprise.

[0006] Firstly, embodiments of this application propose a method for detecting violations based on BeiDou grid location codes and monitoring and sensing equipment, applicable to the entire process of production workers preparing hazardous chemicals. The method includes the following steps: Dividing the production area of ​​the hazardous chemical production workshop into BeiDou grids based on the BeiDou grid location code standard to obtain a BeiDou grid map of the production area; assigning a unique BeiDou grid location code to each grid cell in the BeiDou grid map; and establishing a static attribute table and a dynamic attribute table for each grid cell. Each grid cell covers one production workstation. The static attribute table stores production workstation information, production worker information corresponding to the workstation, and monitoring and sensing equipment information. The dynamic attribute table stores data collected in real-time by the monitoring and sensing equipment and hazardous chemical production data. When a production worker is detected arriving at the production workstation, facial recognition is performed on the production worker using the monitoring and sensing equipment, along with identification of the production worker's work badge information. The facial recognition result, work badge information, and other relevant data are then verified. The system checks whether the production worker information, the information on the production station, and the information on the production operator are consistent. If they are inconsistent, the production worker is deemed to be in violation of operating procedures. During the preparation of hazardous chemicals, the system continuously monitors whether the distance between the production worker and the reactor at the production station is less than the preset safe production distance. If the distance is detected to be less than the preset safe production distance, the production worker is immediately deemed to be in violation of operating procedures. When the system detects that the production worker is shipping the prepared hazardous chemicals, it checks whether the hazardous chemical production data meets the preset shipping quantity. If it does not, the production worker is deemed to be in violation of operating procedures. After the production worker completes a shipment of hazardous chemicals, the system monitors whether the production worker has disposed of the waste in the reactor and whether the disposal of the waste in the reactor meets the preset waste disposal standards. If the production worker has not disposed of the waste in the reactor, or the disposal of the waste in the reactor does not meet the waste disposal standards, the production worker is deemed to be in violation of operating procedures.

[0007] Optionally, the monitoring and sensing equipment includes a workstation recognition camera with facial and object recognition functions installed directly in front of the production workstation. When a production worker is detected arriving at the workstation, the camera performs facial recognition on the worker, simultaneously identifying the worker's work badge information. The system then verifies whether the facial recognition result, work badge information, and worker information corresponding to the current workstation match. If they match, the method further includes: detecting whether the worker is wearing full protective equipment via the workstation recognition camera. This full protective equipment includes a wearable health monitoring device, a chemical protective hood, goggles, a mask, a chemical protective suit, chemical protective gloves, and chemical protective boots. If the worker is found to be wearing all their protective equipment, the worker is permitted to prepare hazardous chemicals. If the worker is not wearing their full protective equipment, the worker is deemed to be in violation of regulations.

[0008] Optionally, the monitoring and sensing equipment also includes a raw material area identification camera with identification function installed in the raw material area. During the process of production workers preparing hazardous chemicals, the method further includes: when a production worker is detected entering the raw material area, facial recognition is performed on the production worker through the raw material area identification camera, and the production worker's work badge information is also identified to verify the production worker's identity; if the identity verification fails, the production worker is judged to have violated the rules; if the identity verification is successful, the production worker is allowed to take raw materials, and the raw material area identification camera is used to detect whether the production worker's taking action meets the preset taking standards; if the production worker's taking action does not meet the preset taking standards, the production worker is judged to have violated the rules.

[0009] Optionally, the monitoring and sensing equipment also includes a binocular camera installed on the front of the reactor at the production station. The binocular camera is equipped with a color lens and a depth lens. During the process of the production worker preparing hazardous chemicals, the method further includes: detecting whether the production worker's action of adding raw materials conforms to the preset addition standard through the color lens of the binocular camera, and detecting whether the order in which the production worker adds raw materials is consistent with the preset standard order; if it is detected that the production worker's action of adding raw materials does not conform to the preset addition standard, or the order in which the production worker adds raw materials is inconsistent with the preset standard order, then it is determined that the production worker has violated the rules.

[0010] Optionally, after the production worker completes the addition of raw materials, the position of the production worker's head, hands, and chest is located using the color lens of a binocular camera. Based on the position of the production worker's head, hands, and chest, and in conjunction with the depth lens of the binocular camera, the first distance between the production worker's head and the reactor, the second distance between the production worker's hands and the reactor, and the third distance between the production worker's chest and the reactor are determined respectively. The first distance, the second distance, and the third distance are then checked sequentially to see if they are less than the preset safe production distance. If at least one of the first distance, the second distance, and the third distance is found to be less than the preset safe production distance, the production worker is deemed to have violated the operation rules.

[0011] Optionally, after determining that a production worker has violated regulations, the method further includes: immediately issuing a violation alert to the production worker based on the reason for the violation, and pushing the information of the production worker who was determined to have violated regulations and the reason for the violation to the safety supervisor; generating a violation event based on the information of the production worker who was determined to have violated regulations, the time of the violation, and the reason for the violation, and recording it in the violation log for storage.

[0012] Optionally, the method further includes: after the completion of the daily hazardous chemical production task, retrieving the daily violation log, statistically analyzing the reasons for the production worker's violation in each recorded violation event, obtaining violation statistics, generating a safety training report based on the violation statistics, and pushing it to the safety supervisor.

[0013] By utilizing BeiDou grid location code technology, the production workshop is subdivided into micro-level units based on production workstations. This truly translates the safety of hazardous chemical production from macro-level safety training and regulations to specific workstations and individual production workers. Violation detection is conducted at different stages: after a production worker arrives at their workstation, during the preparation of hazardous chemicals, when shipping the prepared hazardous chemicals, and after each shipment. This establishes a comprehensive violation detection mechanism for the entire process of hazardous chemical preparation, enabling all-round, multi-faceted, and timely assessment of whether production workers have committed violations. This strengthens production workers' safety awareness, effectively protects their lives and the property of hazardous chemical enterprises, and promotes the sustainable development of the hazardous chemical production industry.

[0014] Secondly, embodiments of this application propose a violation detection system based on BeiDou grid location codes and monitoring and sensing equipment, applicable to the entire process of production workers preparing hazardous chemicals. The system includes: a BeiDou grid location code management module, used to divide the production area of ​​the hazardous chemical production workshop into BeiDou grids based on the BeiDou grid location code standard, obtaining a BeiDou grid map of the production area of ​​the hazardous chemical production workshop, assigning a unique BeiDou grid location code to each grid unit in the BeiDou grid map, and establishing a static attribute table and a dynamic attribute table for each grid unit; wherein, one grid unit covers one production workstation, the static attribute table is used to store production workstation information, production worker information corresponding to the production workstation, and monitoring and sensing equipment information, and the dynamic attribute table is used to store data collected in real time by the monitoring and sensing equipment and hazardous chemical production data; and a pre-production violation detection module, used to perform facial recognition on the production worker through the monitoring and sensing equipment when a production worker is detected arriving at the production workstation, simultaneously recognizing the production worker's work badge information, and verifying the production worker's facial recognition result, work badge information, and the current production... The system checks whether the production worker information for each workstation is consistent. If they are inconsistent, the production worker is deemed to be in violation of regulations. The in-production violation detection module continuously monitors the distance between the production worker and the reactor at the production workstation during the preparation of hazardous chemicals. If the distance is less than the preset safe production distance, the production worker is immediately deemed to be in violation of regulations. The outgoing violation detection module checks whether the hazardous chemical production volume meets the preset outgoing quantity when the production worker is outgoing the prepared hazardous chemicals. If not, the production worker is deemed to be in violation of regulations. The post-production violation detection module monitors whether the production worker has disposed of waste in the reactor after each hazardous chemical outgoing shipment, and whether the disposal meets the preset waste disposal standards. If the production worker has not disposed of waste or the disposal does not meet the standards, the production worker is deemed to be in violation of regulations.

[0015] Thirdly, embodiments of this application propose an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a violation detection method based on BeiDou grid location codes and monitoring and sensing devices as described in the first aspect above.

[0016] Fourthly, embodiments of this application propose a computer-readable storage medium storing a computer program that, when executed by a processor, can implement a method for detecting violations based on BeiDou grid location codes and monitoring and sensing devices, as described in the first aspect above.

[0017] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies of this application will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a method for detecting violations based on BeiDou grid location codes and monitoring and sensing devices, provided in one embodiment of this application;

[0020] Figure 2 This is a Beidou grid map of the production area of ​​a hazardous chemical production workshop provided in one embodiment of this application;

[0021] Figure 3 This is a schematic diagram of the structure of a violation detection system based on Beidou grid location code and monitoring and sensing equipment provided in another embodiment of this application;

[0022] Figure 4 This is a schematic diagram of the structure of an electronic device provided in another embodiment of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. In the various embodiments of this application, many technical details are presented to enable the reader to better understand this application. However, even without these technical details and various variations and modifications based on the following embodiments, the technical solutions claimed in this application can be implemented. The division of the following embodiments is only for convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0024] One embodiment of this application proposes a method for detecting illegal operations based on BeiDou grid location codes and monitoring and sensing devices, which is applied to electronic devices. The electronic devices can be terminals or servers. In this embodiment and the following embodiments, the electronic devices are described using servers (also known as operation and maintenance centers) as an example. The implementation details of the method for detecting illegal operations based on BeiDou grid location codes and monitoring and sensing devices proposed in this embodiment are described in detail below. The following implementation details are provided for ease of understanding and are not necessary for implementing this solution.

[0025] The specific process of the violation detection method based on BeiDou grid location code and monitoring and sensing equipment proposed in this embodiment can be described as follows: Figure 1 As shown, it includes:

[0026] Step 11: Based on the BeiDou grid location code standard, the production area of ​​the hazardous chemical production workshop is divided into BeiDou grids to obtain a BeiDou grid map of the production area of ​​the hazardous chemical production workshop. Each grid cell in the BeiDou grid map is assigned a unique BeiDou grid location code, and a static attribute table and a dynamic attribute table are established for each grid cell. One grid cell covers one production station. The static attribute table is used to store production station information, production worker information corresponding to the production station, and monitoring and sensing equipment information. The dynamic attribute table is used to store the data collected in real time by the monitoring and sensing equipment and the hazardous chemical production data.

[0027] In practical implementation, the operation and maintenance center needs to perform BeiDou grid division on the map of the production area of ​​the hazardous chemical production workshop (i.e., the plan view of the production area of ​​the hazardous chemical production workshop) based on the BeiDou grid location code standard, obtaining a BeiDou grid map of the production area of ​​the hazardous chemical production workshop. Then, each grid cell in the BeiDou grid map is assigned a unique BeiDou grid location code, and a static attribute table and a dynamic attribute table are established for each grid cell. In the BeiDou grid division, one grid cell covers one production workstation, which can be achieved by adjusting the division precision level. The static data table is used to store production workstation information (such as production workstation number), production worker information corresponding to the production workstation (such as production worker name, production worker number), and monitoring and sensing equipment information (such as the equipment number of the monitoring and sensing equipment). The dynamic attribute table is used to store the data collected in real time by the monitoring and sensing equipment and the hazardous chemical production data.

[0028] In one example, a BeiDou grid map of the production area of ​​a hazardous chemical production workshop can be used as follows: Figure 2 As shown.

[0029] In one example, a grid cell's static attribute table contains several static attributes, and a grid cell's dynamic attribute table contains several dynamic attributes. The static attribute table records the stationary entities in the grid cell and their information that does not change over time, while the dynamic attribute table records the moving entities in the grid cell and their information, as well as the information of stationary entities that changes over time.

[0030] In one example, surveillance and sensing devices include monitoring equipment and sensing devices. Monitoring equipment captures images and videos, while sensing devices acquire sensor data based on their type; for example, a thermometer acquires temperature data, and a hygrometer acquires humidity data. Monitoring equipment includes, but is not limited to, IPCs (IP Cameras, network cameras) and DVRs (Digital Video Recorders). Sensing devices include thermometers, hygrometers, pressure sensors, and gas detectors.

[0031] In one example, the monitoring and sensing equipment includes a workstation recognition camera with face and object recognition functions installed in front of the production workstation, a raw material area recognition camera with recognition functions installed in the raw material handling area, and a binocular camera installed in front of the reactor at the production workstation.

[0032] In one example, the operations and maintenance center can acquire images and videos uploaded by the monitoring devices and sensor devices in real time, as well as sensor data uploaded by the sensor devices, through protocols agreed upon with each monitoring and sensing device. These agreed-upon protocols include RJ485, HJ212, and PLC protocols.

[0033] Step 12: When a production worker is detected to have arrived at the production workstation, the production worker's face is recognized by the monitoring and sensing device. At the same time, the production worker's work badge information is also recognized. The face recognition result, work badge information and production worker information corresponding to the current production workstation are checked to see if they are consistent. If the three are inconsistent, the production worker is judged to have violated the rules.

[0034] In its implementation, once a production worker is detected arriving at their workstation, the server immediately performs facial recognition on the worker using the workstation's camera, simultaneously identifying the worker's work badge information. The server then verifies whether the facial recognition result, work badge information, and the worker's information corresponding to the current workstation match. If these three elements do not match, the worker is deemed to be in violation of regulations. A mismatch between the facial recognition result, work badge information, and worker's information at the current workstation indicates that the worker has entered the wrong workstation or is wearing the wrong work badge, constituting a violation and disallowing the worker from preparing hazardous chemicals. Only when all three match is the worker permitted to prepare hazardous chemicals. This effectively ensures production safety, prevents workers from impersonating others, prevents unauthorized individuals from entering the workstation, and guarantees the clear and reliable origin of any hazardous chemicals shipped.

[0035] In one example, when the server verifies the production worker's facial recognition results, work badge information, and the production worker's information corresponding to the current production station, if all three match, the server can use the station's recognition camera to detect whether the production worker is wearing full protective equipment. Full protective equipment includes wearable health monitoring devices, a chemical protective hood, goggles, a mask, a chemical protective suit, chemical protective gloves, and chemical protective boots. If the server detects that the production worker is wearing full protective equipment, the production worker is allowed to prepare hazardous chemicals. If at least one piece of equipment is not being worn, the production worker is deemed to be in violation of regulations. Because hazardous chemicals themselves and the raw materials used to prepare them are generally toxic, harmful, flammable, and explosive, production workers preparing hazardous chemicals must wear full protective equipment to protect their lives. The server's pre-production detection of whether the production worker is wearing full protective equipment provides further assurance for the production worker's safety.

[0036] Step 13: During the process of the production worker preparing hazardous chemicals, the monitoring and sensing equipment continuously detects whether the distance between the production worker and the reactor at the production station is less than the preset safe production distance. Once it is detected that the distance between the production worker and the reactor is less than the preset safe production distance, the production worker is immediately judged to be in violation of the regulations.

[0037] In its implementation, once the production worker begins work, the server initiates violation detection during production, the most crucial aspect of which is the monitoring of safe production distances. During the preparation of hazardous chemicals, the server continuously monitors the distance between the worker and the reaction vessel at the production station using sensing devices to ensure it is within the preset safe production distance. If the distance is detected to be less than the safe distance, the worker is immediately deemed to be in violation of regulations. The chemical reactions within the reaction vessel are violent and unstable; maintaining a safe production distance for observation and operation is essential to ensure the worker's safety.

[0038] In one example, the monitoring and sensing equipment also includes a binocular camera installed in front of the reactor at the production station. The binocular camera is equipped with a color lens and a depth lens. After the production worker adds raw materials, the server uses the color lens of the binocular camera to locate the positions of the worker's head, hands, and chest. Then, based on the positions of the worker's head, hands, and chest, and combined with the depth lens of the binocular camera, the server determines the first distance between the worker's head and the reactor, the second distance between the worker's hands and the reactor, and the third distance between the worker's chest and the reactor. Subsequently, the server sequentially checks whether the first, second, and third distances are less than a preset safe production distance. If at least one of the first, second, and third distances is detected to be less than the preset safe production distance, the worker is deemed to have violated the safety regulations.

[0039] In one example, besides detecting safe production distances, monitoring the actions of production workers when handling raw materials for preparing hazardous chemicals is also crucial. When a production worker enters the raw material area, the server uses a recognition camera in the raw material area to perform facial recognition on the worker, simultaneously verifying their work badge information to authenticate their identity. If authentication fails, the worker is deemed to have violated regulations. If authentication is successful, the worker is allowed to handle the raw materials, and the raw material area recognition camera monitors whether the worker's actions comply with preset standards. If the actions do not meet the preset standards, the worker is deemed to have violated regulations. The identity verification process prevents unauthorized individuals from impersonating production workers to enter the raw material area, while the detection of handling actions effectively protects the safety of production workers.

[0040] In one example, during the preparation of hazardous chemicals by production workers, the server also needs to use the color lens of a binocular camera to detect whether the workers' actions in adding raw materials conform to preset addition standards, and whether the order in which the workers add the raw materials is consistent with the preset standard order. If the actions of the workers in adding raw materials do not conform to the preset addition standards, or if the order in which the workers add the raw materials is inconsistent with the preset standard order, then the workers are deemed to have violated the rules. The detection of the addition actions and the order in which they are added further ensures the safety of hazardous chemical production and protects the lives of the production workers.

[0041] Step 14: When it is detected that the production worker is shipping the prepared hazardous chemicals, determine whether the hazardous chemical production data meets the preset shipping quantity. If it does not meet the preset quantity, the production worker is judged to have violated the regulations.

[0042] In practice, when the server detects that a production worker is shipping prepared hazardous chemicals, it immediately checks whether the hazardous chemical production data meets the preset shipping quantity. If not, the server determines that the production worker has violated regulations. This violation detection ensures that the quantity of hazardous chemicals shipped is sufficient, which helps improve the reputation of hazardous chemical production companies.

[0043] Step 15: After the production worker completes a shipment of hazardous chemicals, the monitoring and sensing equipment detects whether the production worker has processed the waste in the reactor. At the same time, it detects whether the production worker's processing of the waste in the reactor meets the preset waste processing standards. If the production worker does not process the waste in the reactor, or if the production worker's processing of the waste in the reactor does not meet the waste processing standards, the production worker is judged to have violated the operating rules.

[0044] In practical implementation, the handling of post-production waste in the reactor is crucial. After a production worker completes a hazardous chemical shipment, the server can use monitoring and sensing devices to detect whether the worker has handled the waste in the reactor, and whether the handling meets the preset waste disposal standards. If the worker fails to handle the waste or the handling does not meet the standards, it is considered a violation. This post-production violation detection ensures that workers handle waste promptly and compliantly, extending the lifespan of instruments at the production station and preventing environmental pollution from waste.

[0045] In one example, after determining that a producer has violated regulations, the server needs to immediately issue a violation alert to the producer based on the reason for the violation, and push the producer's information and the reason for the violation to the security manager for security training. In addition, the server can also generate a violation event based on the producer's information, the time of the violation, and the reason for the violation, and record it in the violation log for evidence preservation.

[0046] In one example, after the daily hazardous chemical production tasks are completed, the day's violation log is retrieved, and the reasons for the production workers' violations in each recorded violation event are statistically analyzed to obtain the violation statistics. Based on these statistics, a safety training report is then generated and sent to the safety supervisor. The safety training report effectively reflects common violations among production workers, allowing the safety supervisor to conduct daily safety education based on the report. Workers can then correct any violations they have made and strive to improve, thereby better protecting the lives of production workers and the property of the hazardous chemical company.

[0047] This embodiment utilizes BeiDou grid location code technology to achieve micro-level subdivision of the production area in the production workshop, with each production workstation as the basic unit. This truly translates the safety of hazardous chemical production from macro-level safety training and regulations to specific production workstations and individual production workers. Violation detection is conducted for different items at various stages: after a production worker arrives at their workstation, during the preparation of hazardous chemicals, when shipping the prepared hazardous chemicals, and after a single hazardous chemical shipment. This establishes a full-process violation detection mechanism for production workers preparing hazardous chemicals, enabling comprehensive, multi-faceted, and timely determination of whether production workers have committed violations. This strengthens production workers' safety awareness, effectively protects the lives of production workers and the property safety of hazardous chemical enterprises, and promotes the sustainable development of the hazardous chemical production industry.

[0048] The steps of the various methods described above are only for clarity. In practice, they can be combined into one step or some steps can be split into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this application. Adding insignificant modifications or introducing insignificant designs to the algorithm or process, but without changing the core design of the algorithm and process, are also within the scope of protection of this application.

[0049] Another embodiment of this application proposes a violation detection system based on BeiDou grid location codes and monitoring and sensing devices. The implementation details of this violation detection system based on BeiDou grid location codes and monitoring and sensing devices are described below. These details are provided for ease of understanding and are not essential for implementing this example.Figure 3 This is a schematic diagram of the structure of a violation detection system based on Beidou grid location code and monitoring and sensing equipment proposed in this embodiment. The system includes: Beidou grid location code management module 21, pre-production violation detection module 22, in-production violation detection module 23, outgoing violation detection module 24, and post-production violation detection module 25.

[0050] The Beidou Grid Location Code Management Module 21 is used to divide the production area of ​​the hazardous chemical production workshop into Beidou grids based on the Beidou Grid Location Code standard, thereby obtaining a Beidou grid map of the production area of ​​the hazardous chemical production workshop. Each grid cell in the Beidou grid map is assigned a unique Beidou grid location code, and a static attribute table and a dynamic attribute table are established for each grid cell. One grid cell covers one production station. The static attribute table is used to store production station information, production worker information corresponding to the production station, and monitoring and sensing equipment information. The dynamic attribute table is used to store the data collected in real time by the monitoring and sensing equipment and the hazardous chemical production data.

[0051] The pre-production violation detection module 22 is used to perform facial recognition on a production worker when a production worker arrives at the production workstation. At the same time, it recognizes the production worker's work badge information and verifies whether the facial recognition result, work badge information, and production worker information corresponding to the current production workstation are consistent. If the three are inconsistent, the production worker is judged to have violated the rules.

[0052] The production violation detection module 23 is used to continuously detect whether the distance between the production worker and the reactor at the production station is less than the preset safe production distance during the process of the production worker preparing hazardous chemicals. Once it is detected that the distance between the production worker and the reactor is less than the preset safe production distance, the production worker is immediately judged to have violated the regulations.

[0053] The shipment violation detection module 24 is used to determine whether the hazardous chemical production data meets the preset shipment quantity when the production worker is shipping the prepared hazardous chemicals. If it does not meet the preset quantity, the production worker is judged to have violated the regulations.

[0054] The post-production violation detection module 25 is used to detect whether the production worker has disposed of the waste in the reactor after completing a shipment of hazardous chemicals, and whether the disposal of the waste in the reactor meets the preset waste disposal standards. If the production worker has not disposed of the waste in the reactor, or the disposal of the waste in the reactor does not meet the waste disposal standards, the production worker is judged to have violated the operation.

[0055] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0056] It is not difficult to see that this embodiment is a system embodiment corresponding to the above method embodiments, and this embodiment can be implemented in conjunction with the above method embodiments. The relevant technical details and technical effects mentioned in the above embodiments are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied to the above embodiments.

[0057] Another embodiment of this application provides an electronic device with the following structure: Figure 4 As shown, it includes: at least one processor 31; and a memory 32 communicatively connected to the at least one processor 31; wherein the memory 32 stores instructions executable by the at least one processor 31, the instructions being executed by the at least one processor 31 to enable the at least one processor 31 to execute the violation operation detection method based on Beidou grid location code and monitoring and sensing equipment described in the above embodiments.

[0058] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and the memory. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface is responsible for providing an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0059] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0060] Another embodiment of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the violation detection based on BeiDou grid location codes and monitoring and sensing devices as described in the above method embodiments.

[0061] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM (Read-Only Memory), RAM (Random Access Memory), magnetic disks, or optical disks.

[0062] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A method for detecting violations based on BeiDou grid location codes and monitoring and sensing equipment, applicable to the entire process of production workers preparing hazardous chemicals, characterized in that... The method includes: Based on the BeiDou grid location code standard, the production area of ​​the hazardous chemical production workshop is divided into BeiDou grids to obtain a BeiDou grid map of the production area. Each grid cell in the BeiDou grid map is assigned a unique BeiDou grid location code, and a static attribute table and a dynamic attribute table are established for each grid cell. One grid cell covers one production station. The static attribute table is used to store production station information, production worker information corresponding to the production station, and monitoring and sensing equipment information. The dynamic attribute table is used to store the data collected in real time by the monitoring and sensing equipment and the hazardous chemical production data. When a production worker is detected to have arrived at the production workstation, the monitoring and sensing equipment performs facial recognition on the production worker, and at the same time identifies the production worker's work badge information. The system then verifies whether the production worker's facial recognition result, work badge information, and production worker information corresponding to the current production workstation are consistent. If the three are inconsistent, the production worker is deemed to have violated the rules. During the preparation of hazardous chemicals by production workers, the distance between the production worker and the reactor at the production station is continuously monitored by the sensing equipment to see if it is less than the preset safe production distance. Once it is detected that the distance between the production worker and the reactor is less than the preset safe production distance, the production worker is immediately judged to be in violation of the regulations. When it is detected that the production worker is shipping the prepared hazardous chemicals, it is determined whether the hazardous chemical production data meets the preset shipping quantity. If it does not meet the preset quantity, the production worker is judged to have violated the rules. After a production worker completes a shipment of hazardous chemicals, the monitoring and sensing equipment detects whether the production worker has disposed of the waste in the reactor. At the same time, it detects whether the production worker's disposal of the waste in the reactor meets the preset waste disposal standards. If the production worker does not dispose of the waste in the reactor, or if the production worker's disposal of the waste in the reactor does not meet the waste disposal standards, the production worker is deemed to have violated the operation rules. The monitoring and sensing equipment includes a workstation recognition camera with face and object recognition functions installed directly in front of the production workstation. When a production worker is detected arriving at the workstation, the camera performs face recognition on the worker, simultaneously recognizing the worker's employee ID card information. The system then verifies whether the face recognition result, the employee ID card information, and the worker information corresponding to the current workstation match. If all three match, the method further includes: Workstation recognition cameras detect whether production workers are wearing full protective equipment; the full protective equipment includes wearable health monitoring devices, chemical protective headgear, goggles, masks, chemical protective suits, chemical protective gloves, and chemical protective boots. If it is detected that the production worker is wearing full protective gear, the production worker is allowed to prepare hazardous chemicals; If it is detected that at least one piece of the production worker's full set of protective equipment is not being worn, the production worker is deemed to have violated regulations. The monitoring and sensing equipment also includes raw material area identification cameras with identification functions installed in the raw material area. During the process of production workers preparing hazardous chemicals, the method further includes: When a production worker is detected entering the raw material area, the production worker's face is recognized by the raw material area recognition camera, and the production worker's work badge information is also recognized to verify the production worker's identity. If identity verification fails, the production worker is deemed to have violated regulations. Once identity verification is successful, production staff are allowed to access raw materials, and the raw material area recognition camera detects whether the production staff's access actions meet the preset access standards. If the production worker's picking action is detected to be inconsistent with the preset picking standard, the production worker is judged to have violated the operation rules. The monitoring and sensing equipment also includes a binocular camera installed on the front of the reactor at the production station. The binocular camera is equipped with a color lens and a depth lens. During the process of production workers preparing hazardous chemicals, the method further includes: The binocular camera's color lens detects whether the production worker's actions in adding raw materials conform to the preset addition standards, and also detects whether the order in which the production worker adds raw materials is consistent with the preset standard order. If it is detected that the production worker's action of adding raw materials does not conform to the preset addition standard, or the order in which the production worker adds raw materials is inconsistent with the set standard order, the production worker is judged to have violated the rules. After the production worker completes the addition of raw materials, the position of the production worker's head, hands, and chest is located through the color lens of a binocular camera; Based on the positions of the production worker's head, hands, and chest, and combined with the depth lens of the binocular camera, the first distance between the production worker's head and the reactor, the second distance between the production worker's hands and the reactor, and the third distance between the production worker's chest and the reactor are determined respectively. The first, second, and third distances are sequentially checked to see if they are less than the preset safe production distance. If at least one of the first, second, and third distances is found to be less than the preset safe production distance, the production worker is deemed to have violated regulations.

2. The method for detecting violations based on BeiDou grid location codes and monitoring and sensing equipment as described in claim 1, characterized in that, After determining that the production worker has violated regulations, the method further includes: Immediately issue a violation alert to the production worker based on the reason for the violation, and push the information of the production worker who was found to have violated the rules and the reason for the violation to the safety supervisor. Based on the information of the production worker who was found to have violated the rules, the time of the violation, and the reason for the violation, a violation event is generated and recorded in the violation log.

3. The method for detecting violations based on BeiDou grid location codes and monitoring and sensing equipment as described in claim 2, characterized in that, The method further includes: After the daily hazardous chemical production task is completed, the daily violation log is retrieved, and the reasons for the production staff's violations in each recorded violation event are statistically analyzed to obtain the violation statistics results. A security training report is generated based on the violation statistics and sent to the security manager.

4. A violation detection system based on BeiDou grid location codes and monitoring and sensing equipment, applicable to the entire process of production workers preparing hazardous chemicals, implemented based on the violation detection method based on BeiDou grid location codes and monitoring and sensing equipment as described in any one of claims 1 to 3, characterized in that... include: The Beidou Grid Location Code Management Module is used to divide the production area of ​​the hazardous chemical production workshop into Beidou grids based on the Beidou Grid Location Code standard, thereby obtaining a Beidou grid map of the production area of ​​the hazardous chemical production workshop. Each grid cell in the Beidou grid map is assigned a unique Beidou grid location code, and a static attribute table and a dynamic attribute table are established for each grid cell. One grid cell covers one production workstation. The static attribute table is used to store production workstation information, production worker information corresponding to the production workstation, and monitoring and sensing equipment information. The dynamic attribute table is used to store the data collected in real time by the monitoring and sensing equipment and the hazardous chemical production data. The pre-production violation detection module is used to perform facial recognition on production workers when a production worker arrives at the production workstation. It also recognizes the production worker's work badge information and verifies whether the facial recognition result, work badge information, and production worker information corresponding to the current production workstation are consistent. If the three are inconsistent, the production worker is judged to have violated the rules. The production violation detection module is used to continuously detect whether the distance between the production worker and the reactor at the production station is less than the preset safe production distance during the process of the production worker preparing hazardous chemicals. Once the distance between the production worker and the reactor is detected to be less than the preset safe production distance, the production worker is immediately judged to have violated the regulations. The shipment violation detection module is used to determine whether the hazardous chemical production data meets the preset shipment quantity when the production worker is shipping the prepared hazardous chemicals. If it does not meet the preset quantity, the production worker is judged to have violated the regulations. The post-production violation detection module is used to detect whether the production worker has disposed of the waste in the reactor after completing a shipment of hazardous chemicals. It also detects whether the disposal of the waste in the reactor meets the preset waste disposal standards. If the production worker has not disposed of the waste in the reactor, or if the disposal of the waste in the reactor does not meet the waste disposal standards, the production worker is judged to have violated the operation standards.

5. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the violation detection method based on BeiDou grid location code and monitoring and sensing equipment as described in any one of claims 1 to 3.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it can implement the violation detection method based on Beidou grid location code and monitoring and sensing equipment as described in any one of claims 1 to 3.

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