System for automatically identifying identity and remotely controlling electrical switch by custom algorithm

Abstract

The invention discloses a system for automatically identifying identity and remotely controlling an electrical switch through a custom algorithm, which comprises a hardware end and a server end, and is characterized in that the hardware end comprises a binocular camera, a fault monitoring and alarm module, a current monitoring and control module, a main control board and a communication module, and the server end comprises an algorithm bin, an identification library and a mobile client system. According to the invention, compliance operation of compliance personnel can be automatically identified, and various safety events in the production process can be automatically identified in the production process, so that the real-time operation state of production equipment can be automatically obtained, an algorithm suitable for a scene is developed based on big data of a field scene, and when an event occurs, the real-time operation state of the production equipment can be automatically identified based on the algorithm. And various remote operations are automatically realized, so that the occurrence of events is effectively avoided, and the occurrence probability of security events is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of industrial safety production and management technology, and in particular relates to a system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm. Background Art

[0002] Currently, in the low-voltage fuse (sealed tube type, stuffing tube type, self-resetting type) and low-voltage circuit breaker (overcurrent, undervoltage, thermal, shunt release) industries, similar industry production and management are achieved using the following methods: (1) Human and system management, using human inspections, and then issuing corresponding systems to reduce the occurrence of problems after problems are discovered; (2) Using inspection robots and human handheld terminal inspections, after problems are discovered, they can be reported in a timely manner, and then handled through system dispatch.

[0003] The above two basic safety management methods in the production process, whether manual or semi-automatic, cannot solve the following core problems: (1) Problems are discovered and reported only after they occur. The difference between manual and semi-automatic methods is only the length of time for discovery and reporting. It cannot solve the problem of timely stopping the occurrence of problems before they occur; (2) Even after the problem occurs, human participation is still required to deal with it, which will also cause the harmfulness of the problem to increase exponentially with the increase of time, and it cannot be based on confirmed algorithms and rules to achieve automatic disposal in a very short time and complete the most critical remote control automatic operation; (3) In the process of on-site production management, it is difficult to automatically discover and automatically identify compliant personnel who meet compliant operating specifications, and it is also impossible to avoid the probability of problems before they occur. Therefore, in view of the above problems, the system of automatic identity recognition and customized algorithm remote control of electrical switches provided by the present invention is of great significance. Summary of the invention

[0004] The present invention provides a system for automatically identifying identities and remotely controlling electrical switches with customized algorithms, which can automatically identify compliant operations of compliant personnel, and can automatically identify various safety incidents in the production process during the production process, thereby automatically obtaining the real-time operating status of production equipment; based on the big data of the on-site scene, an algorithm suitable for the scene itself is developed, and when an incident occurs, various remote operations can be automatically implemented based on the algorithm, thereby effectively avoiding the occurrence of incidents, so as to reduce the probability of safety incidents. In summary, the problems in the background technology are solved.

[0005] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0006] A system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm according to the present invention includes a hardware end and a server end;

[0007] The hardware end includes a binocular camera, a fault monitoring and alarm module, a current monitoring and control module, a main control board, and a communication module;

[0008] The server side includes an algorithm warehouse, a recognition library, and a mobile client system.

[0009] Furthermore, for the hardware side, the binocular camera includes a face recognition mode, a QR code recognition mode, and various industry scenario AI recognition modes.

[0010] Furthermore, for the hardware end, the fault monitoring and alarm module is externally connected to various industry sensors, and the fault monitoring and alarm module converts the equipment status and alarms of various industries into network signals and sends them to the server end through the various industry sensors.

[0011] Furthermore, for the hardware end, the current monitoring and control module is externally connected to various electrical control switches, and the current monitoring and control module monitors and controls various switch states through the various electrical control switches.

[0012] Furthermore, the main control board is electrically connected to the binocular camera, the fault monitoring and alarm module, and the current monitoring and control module respectively, and the main control board is connected to the remote server through the communication module.

[0013] Further, for the hardware end, the communication module is integrated with a radio frequency signal transmitting / receiving unit, and the radio frequency signal transmitting / receiving unit is an RF radio frequency module.

[0014] Furthermore, for the server side, the algorithm warehouse is built based on various scenario algorithms.

[0015] Furthermore, for the server side, the identification library includes the identities, certificates and skills of various types of users, and the identities, certificates and skills are entered into the identification library through the background of the server side, or the corresponding identification library is updated through the interface obtained through the government and third-party authoritative platforms.

[0016] Furthermore, for the server side, the mobile client system includes various mobile phone clients and PAD clients.

[0017] A method for using a system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm is implemented using the above-mentioned system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm, and includes the following steps:

[0018] S1. Before the production process, the binocular camera on the hardware side identifies the identity of the current producer, and compares the current production certificate and skills in the corresponding certificate and skill identification library. At the same time, the user's client takes photos and confirms the various preparation environments for production, and then the information is uniformly fed back to the server for calculation based on the algorithm;

[0019] S2. Feedback the calculated result to the current monitoring and control module through the communication module of the network. According to the feedback result, the current monitoring and control module decides what action to take;

[0020] S3. During the production process, the relevant information of the production site of the fault monitoring and alarm module and the real-time video stream information of the binocular camera are transmitted to the server side in real time through the network communication module. The information is processed in real time by the algorithm of the corresponding algorithm warehouse. The processing results are also fed back to the hardware side on site through the network communication module. The hardware side on site monitors the safety risks and events in the production process in real time according to the feedback results;

[0021] S4. Once the algorithm feedback results that are prone to major safety incidents are found in the production process, automatic operations will be automatically implemented through the current monitoring and control module based on the rules, thereby avoiding the occurrence of major safety accidents;

[0022] S5. After the operation is completed, an end-to-end data record is generated and saved on the server side based on the data fed back from the site. When a certain amount of data is saved, the algorithm corresponding to the algorithm warehouse will be automatically updated based on the AI ​​algorithm updated by the big data, so that the ability of security management can be automatically improved.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] (1) The system of the present invention for automatically identifying identities and remotely controlling electrical switches with a custom algorithm can automatically identify compliant personnel and compliant operations, and can automatically identify various safety incidents in the production process, thereby automatically obtaining the real-time operating status of production equipment;

[0025] (2) The system of the present invention is a system for automatically identifying identities and using customized algorithms to remotely control electrical switches. Based on the big data of on-site scenes, an algorithm suitable for the scene itself is developed. When an incident occurs, various remote operations can be automatically performed based on the algorithm, thereby effectively avoiding the occurrence of incidents and reducing the probability of security incidents.

[0026] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing 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.

[0028] Figure 1 The present invention is a schematic diagram of the modular structure of a system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm.

[0029] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0030] 1. Binocular camera; 2. Fault monitoring and alarm module; 3. Current monitoring and control module; 4. Main control board; 5. Communication module; 6. Algorithm warehouse; 7. Recognition library; 8. Mobile client system; 9. RF signal transmission / reception unit. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] In the description of the present invention, it should be understood that the terms "relative", "one end", "inside", "lateral", "end", "two ends", "both sides", "front", "one end face", "the other end face" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0033] See also Figure 1 As shown, a system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm of the present invention includes a hardware end and a server end;

[0034] The hardware end includes a binocular camera 1, a fault monitoring and alarm module 2, a current monitoring and control module 3, a main control board 4, and a communication module 5. The current monitoring and control module 3 is a control gateway that can be connected to the PLC, the main control board 4 is a PBC board, and the communication module 5 can use either a 4G module or a 5G module;

[0035] The server side includes an algorithm warehouse 6, an identification library 7, and a mobile client system 8.

[0036] Among them, for the hardware side, the binocular camera 1 includes face recognition mode, QR code recognition mode, and AI recognition modes for various industry scenarios.

[0037] Among them, for the hardware side, the fault monitoring and alarm module 2 is externally connected to various industry sensors, and the fault monitoring and alarm module 2 converts the equipment status and alarms of various industries into network signals and sends them to the server side through various industry sensors.

[0038] Among them, for the hardware end, the current monitoring and control module 3 is externally connected to various electrical control switches, and the current monitoring and control module 3 monitors and controls various switch states through the various electrical control switches.

[0039] The main control board 4 is electrically connected to the binocular camera 1 , the fault monitoring and alarm module 2 , and the current monitoring and control module 3 , respectively, and the main control board 4 is connected to a remote server via the communication module 5 .

[0040] Among them, for the hardware side, the communication module 5 is integrated with a radio frequency signal transmitting / receiving unit 9, and the radio frequency signal transmitting / receiving unit 9 is an RF radio frequency module.

[0041] Among them, for the server side, the algorithm warehouse 6 is built based on various scenario algorithms. The algorithm refers to a self-defined formula. For example, a result is calculated through a formula based on multiple alarm and monitoring parameters and AI recognition results. Different operation instructions are issued through different definitions of the results. These algorithms are pre-made and can be continuously updated.

[0042] Among them, for the server side, the identification library 7 includes the identities, certificates and skills of various users. The identities, certificates and skills are entered into the identification library 7 through the background of the server side, or the corresponding identification library 7 is updated through the interface obtained through the government and third-party authoritative platforms. For example, the use of a welding machine requires a welding machine qualification certificate, and the use of a crane requires a special vehicle operation qualification certificate.

[0043] Among them, for the server side, the mobile client system 8 includes various mobile phone clients and PAD clients.

[0044] A method for using a system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm is implemented using the above-mentioned system for automatically identifying an identity and remotely controlling an electrical switch using a custom algorithm, and includes the following steps:

[0045] S1. Before the production process, the binocular camera 1 on the hardware side identifies the identity of the current producer, and the corresponding certificate and skill identification library 7 is used to compare the current production certificate and skills. At the same time, the user's client takes photos and confirms the various preparation environments for production, and then the information is uniformly fed back to the server side for calculation based on the algorithm;

[0046] S2, the calculation result is fed back to the current monitoring and control module 3 through the network communication module 5, and the current monitoring and control module 3 decides what operation to take according to the feedback result;

[0047] S3. During the production process, the relevant information of the production site of the fault monitoring and alarm module 2 and the real-time video stream information of the binocular camera 1 are transmitted to the server side in real time through the network communication module 5. The corresponding algorithm warehouse 6 processes the information in real time, and the processing results are also fed back to the hardware side on site through the network communication module 5. The hardware side on site monitors the safety risks and events in the production process in real time according to the feedback results;

[0048] S4. Once the algorithm feedback results that are prone to major safety incidents are found in the production process, the current monitoring and control module 3 will automatically perform automatic operations based on the rules, thereby avoiding the occurrence of major safety accidents;

[0049] S5. After the operation is completed, an end-to-end data record is generated and saved on the server side based on the data fed back on site. When a certain amount of data is saved, the algorithm corresponding to the algorithm warehouse 6 is automatically updated based on the AI ​​algorithm updated by the big data, so that the ability of security management can be automatically improved.

[0050] The circuits, electronic components and chip modules involved in the present invention are all prior art and can be fully implemented by those skilled in the art. Needless to say, the content protected by the present invention does not involve improvements to software and methods.

[0051] The standard parts used in the application documents can all be purchased from the market. All the components in this application document can be customized according to the description in the specification and drawings. The specific connection methods of each part adopt mature conventional means such as bolts, rivets, welding, etc. in the prior art. Machinery, parts and equipment all adopt conventional models in the prior art. The electrical components appearing in this article are all electrically connected to the external main controller and 220V AC power, and the main controller can be a conventional known device that controls the LED lamp body, etc.

[0052] The working principle of the present invention is:

[0053] When the present invention is used, first, before the production process, the binocular camera 1 on the hardware side identifies the identity of the current producer, and the corresponding certificate and skill identification library 7 is used to compare the current production certificate and skills. At the same time, the user's client takes photos and confirms various preparation environments for production, and then the information is uniformly fed back to the server side for calculation based on the algorithm. Then, the calculation result is fed back to the current monitoring and control module 3 through the network communication module 5. According to the feedback result, the current monitoring and control module 3 decides what operation to take. Then, during the production process, the relevant information of the production site of the fault monitoring and alarm module 2 and the real-time video stream information of the binocular camera 1 are transmitted to the server side in real time through the network communication module 5. This information is processed in real time through the algorithm of the corresponding algorithm warehouse 6, and the processing results are also fed back to the on-site hardware end through the network communication module 5. The on-site hardware end monitors the safety risks and events in the production process in real time based on the feedback results. Once the algorithm feedback results that are prone to major safety incidents are found in the production process, the current monitoring and control module 3 will automatically perform automatic operations based on the rules, thereby avoiding major safety accidents. After the operation is completed, an end-to-end data record is generated and saved on the server side based on the data fed back on site. When the generated data is saved to a certain amount, the algorithm corresponding to the algorithm warehouse 6 will be automatically updated according to the AI ​​algorithm updated by the big data, so that the ability of automatic improvement of safety management can be achieved.

[0054] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A system for automatically identifying identity and remotely controlling electrical switches using a custom algorithm, characterized in that: Including hardware side and server side; The hardware end includes a binocular camera, a fault monitoring and alarm module, a current monitoring and control module, a main control board, and a communication module; The server side includes an algorithm warehouse, a recognition library, and a mobile client system.

2. The system of automatic identification and customized algorithm remote control of electrical switches according to claim 1, characterized in that: For the hardware side, the binocular camera includes face recognition mode, QR code recognition mode, and AI recognition modes for various industry scenarios.

3. The system of automatic identification and customized algorithm remote control of electrical switches according to claim 1, characterized in that: For the hardware end, the fault monitoring and alarm module is externally connected to various industry sensors. The fault monitoring and alarm module converts the equipment status and alarms of various industries into network signals and sends them to the server end through the various industry sensors.

4. The system for automatically identifying identity and remotely controlling electrical switches using a custom algorithm according to claim 1, characterized in that: For the hardware end, the current monitoring and control module is externally connected to various electrical control switches, and the current monitoring and control module monitors and controls various switch states through the various electrical control switches.

5. The system of automatic identification and customized algorithm remote control of electrical switches according to claim 1, characterized in that: For the hardware end, the main control board is electrically connected to the binocular camera, the fault monitoring and alarm module, and the current monitoring and control module respectively, and the main control board is connected to the remote server end through the communication module.

6. The system for automatically identifying identity and remotely controlling electrical switches using a custom algorithm according to claim 1, characterized in that: For the hardware end, the communication module is integrated with a radio frequency signal transmitting / receiving unit, and the radio frequency signal transmitting / receiving unit is an RF radio frequency module.

7. The system for automatically identifying identity and remotely controlling electrical switches using a custom algorithm according to claim 1, characterized in that: For the server side, the algorithm warehouse is built based on various scenario algorithms.

8. The method for using the system for automatic identification and remote control of electrical switches by a custom algorithm according to claim 1, characterized in that: For the server side, the identification library includes the identities, certificates and skills of various users. The identities, certificates and skills are entered into the identification library through the background of the server side, or the corresponding identification library is updated through the interface obtained through the government and third-party authoritative platforms.

9. The method for using the system for automatic identification and remote control of electrical switches by a custom algorithm according to claim 1, characterized in that: For the server side, the mobile client system includes various mobile phone clients and PAD clients.

10. The method for using the system for automatic identification and remote control of electrical switches by a custom algorithm according to claim 1, characterized in that: The system for remotely controlling an electrical switch using an automatic identification and a custom algorithm as described in any one of claims 1 to 9 is implemented, comprising the following steps: S1. Before the production process, the binocular camera on the hardware side identifies the identity of the current producer, and compares the current production certificate and skills in the corresponding certificate and skill identification library. At the same time, the user's client takes photos and confirms the various preparation environments for production, and then the information is uniformly fed back to the server for calculation based on the algorithm; S2. Feedback the calculated result to the current monitoring and control module through the communication module of the network. According to the feedback result, the current monitoring and control module decides what action to take; S3. During the production process, the relevant information of the production site of the fault monitoring and alarm module and the real-time video stream information of the binocular camera are transmitted to the server side in real time through the network communication module. The information is processed in real time by the algorithm of the corresponding algorithm warehouse. The processing results are also fed back to the hardware side on site through the network communication module. The hardware side on site monitors the safety risks and events in the production process in real time according to the feedback results; S4. Once the algorithm feedback results that are prone to major safety incidents are found in the production process, automatic operations will be automatically implemented through the current monitoring and control module based on the rules, thereby avoiding the occurrence of major safety accidents; S5. After the operation is completed, an end-to-end data record is generated and saved on the server side based on the data fed back from the site. When a certain amount of data is saved, the algorithm corresponding to the algorithm warehouse will be automatically updated based on the AI ​​algorithm updated by the big data, so that the ability of security management can be automatically improved.

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