Thread Content
Moushi Robot’s answer: 1. **Classification of special robots: (1) Classified by industry, there are a total of 15 categories.** (2) Classified by space, there are a total of 7 categories. (3) It is divided into 11 categories according to the mode of movement. (4) Classified by function, there are a total of 15 categories. (5) The eye-view robot belongs to the inspection category among them. 2. In which industries are eye-tracking robots primarily used? The company’s main customer base consists of the petrochemical industry, fire protection industry, power industry, coal mining industry, and public safety sector, all under the jurisdiction of the Emergency Management Bureau. It is capable of carrying out various high-risk operations in areas prone to fire, explosion, toxicity, and harm, such as oil and natural gas extraction sites and processing plants, natural gas compression stations, gas collection stations, treatment plants, pressure regulation and metering stations, terminal stations, and valve rooms; as well as petrochemical storage areas, warehouses, and main processing units; and coal mining faces and tunnels. 3. Who are the company’s main competitors? In the field of explosion-proof inspection robots, the main competitors include Kecong, Ansen, Guozi, Yuhesen, CITIC Heavy Industry, Tianchuang, Shenhao, Qiteng, and Lingtian. 4. EyeView Robot Solutions 1. What are the application scenarios for intelligent robots in the chemical industry? (1) Based on product positioning, the “Petroleum and Chemical Industry Explosion-Proof Inspection Robot System (Phase I)” is designed for use in the petrochemical industry; its primary function is to carry out inspection tasks. It can also be used for fire fighting and transportation support. In general, it can be categorized into five different application scenarios. (2) Based on application scenarios, the company’s special robots are classified into five categories: ground-based explosion-proof inspection robots, high-altitude track-mounted inspection robots, ground-based explosion-proof firefighting robots, substation interior inspection robots, and ground-based explosion-proof transportation robots. 2. What are the main components of various robots in different scenarios? (1) Ground-based explosion-proof inspection robots: image analysis, infrared thermal imaging, gas sensors, spectrum analysis, explosion-proof pan-tilt heads, and AI technologies. (2) Aerial track-mounted inspection robot: composed of image analysis, infrared thermal imaging, gas sensors, spectrum analysis, explosion-proof pan-tilt units, and AI; additionally, this robot requires a pre-set track. (3) Substation indoor inspection robot: composed of image analysis, infrared thermal imaging, gas sensors, spectrum analysis, explosion-proof pan-tilt cameras, and AI; in addition, this robot features partial discharge detection capabilities. (4) Explosion-proof fire fighting and reconnaissance robot: image analysis, infrared thermal imaging, gas sensors, fire water cannon, mobile chassis, drive motor. (5) Explosion-proof delivery robot: explosion-proof wireless communication, autonomous explosion-proof wireless charging, mobile chassis, SLAM navigation. 3. How robots can be compared to humans (1) Robots can adapt to various complex environments and can take over tasks from humans in such environments. (2) Robots can reduce the need for manual labor, thereby effectively saving on labor costs. (3) Managing robots is simpler than managing people. 4. What does a complete robot system consist of? Servers, power supply system, network supply system, platform software, system integration, and data display. 5. How can eye-tracking robots replace human inspectors in steel structure-based and tall, multi-story industrial facilities? During the period of rapid industrial development, most companies did not take into account the possibility that robots would replace human inspectors when designing their facilities. They simply installed fixed sensors in accordance with IoT standards, relying on manual inspections to carry out monitoring tasks, without providing space for robot inspections. As a result, it is not possible to conduct comprehensive inspections 100% of the time. However, robot manufacturers have developed alternative solutions: in areas where ground-based robots cannot reach, four-legged robots or track-mounted inspection robots, along with fixed cameras and sensors at key monitoring points, can be integrated into the control system. 6. How do ground-view inspection robots carry out route planning, schedule formulation, and inspections for different tasks? Inspection items, inspection points, inspection routes, and inspection tasks form a continuous and complete closed loop. Through preliminary modeling, photo recognition, gas detection, and backend settings, all aspects of manual inspections such as detecting leaks, identifying meters, performing remote meter reading, and recognizing scenarios related to the use of safety equipment are accomplished. At its core, it relies on 16-line lidar navigation and positioning technology (laser-based 3D point clouds, referred to as SLAM) for route planning. Equipped with an autonomous driving system, it utilizes mapping algorithms, lidar navigation algorithms, path planning algorithms, image processing algorithms, noise reduction algorithms, gas detection algorithms, and obstacle avoidance algorithms to plan inspection routes in a manner that resembles human thinking. 7. How does the EyeRobot distinguish between normal noises and abnormal noises? It relies primarily on the sound recognition device built into the robot. During the initial setup phase, it collects sounds of the machine operating normally over a certain period of time at the customer’s site, and converts these sounds into spectrograms, which serve as the standard for sound recognition. In subsequent operations, it continuously collects sounds from the site to create \"labels,\" compares them with the previously stored spectrograms of normal sounds, and also uses high-definition cameras to take multiple photos to aid in identification. 8. How do eye-view robots effectively detect leaks of organic and toxic gases? They rely primarily on the pump-action N-series (with six-in-one being the standard configuration) gas sensors built into the robots; by using a catalytic combustion gas analysis algorithm, these sensors can determine the type and concentration of the leaking gas. Their detection accuracy and efficiency are no lower than those of fixed gas sensors. 9. Does Moushi Company engage in any testing or inspections related to radiation? At present, Moushi Company has not produced any robots for radiation resistance or radiation detection; however, if there is customer demand, cooperation can be established for joint development. If the detection frequency in the radiation area is not high, current robots can theoretically handle it as well. 10. What are the main methods used for on-site data collection and transmission by the Moushi robot? The current mainstream approach is to install explosion-proof APs (products developed for the use of wireless local area networks in hazardous environments) within the factory premises. Large steel structure factories do not cause interference to communications, as the company’s equipment features EMC (electromagnetic compatibility) protection technologies. 11. Regarding external data integration for the Mouxishi robot, does the product require a unified interface for operation? Does it support the current mainstream monitoring and display screens? For unstructured data, it can be directly connected to these screens via the RTSP protocol (RTSP is a multimedia streaming protocol used for controlling audio or video) ； If statistical analysis is not required, the company’s products come with standard interfaces for external use, allowing data to be retrieved from our system. To generate relevant reports, the customer needs to have the necessary R&D capabilities to process the data further and present it in a unified format for external use. If the customer needs our robot inspection data to be displayed on their own large-screen display, thanks to the BS architecture of our product, there are no obstacles as long as the communication network is functional. 12. In the case of temporary abnormalities at the site (such as construction activities or temporary noise), is it necessary to increase the frequency of inspections and the density of data collection? The inspection routes are originally established by our field staff based on the requirements specified by the client; the client can also modify and refine them after attending the training. 13. Regarding the abnormalities detected on site, is it necessary to increase the frequency of inspections or adjust the inspection plan? The inspection routes are originally formulated by our staff on site based on the requirements provided by the client; the client can also modify and improve them after receiving our training. 14. Regarding voiceprint recognition technology for identifying equipment failures, how can on-site interference and false alarms be eliminated to ensure the accuracy of recognition? Are there any cases showing what level of accuracy can be achieved? As for the accuracy of voiceprint recognition, the algorithm can be improved over time by labeling data, thereby reducing the impact of abnormal noises. With an increase in the number of labels, the training of the robot can be enhanced, leading to higher accuracy. 15. Regarding the detection of leaks, are there any applications for detecting leaks of non-methane organic gases (such as paraffins and residue oils with low volatility)? How is such detection carried out? (1) Robots equipped with pump-action N sensors can only detect gas leaks in the air along their path of movement, and their detection range is limited. Based on this, laser methane telemetry technology can be used: infrared lasers are emitted into the air, and by analyzing the absorbed laser light using a spectrometer, it is possible to determine whether there is a methane leak. (2) For leaks of other organic gases such as ethylene and propane, or gases that are colorless, odorless, and do not cause temperature changes, detection can also be achieved by installing additional equipment; however, such equipment is relatively expensive. 16. A large volume of data collected needs to be uploaded to the cloud; what are the requirements regarding bandwidth? (1) Moushi Company has an algorithm for real-time inspection, also known as edge recognition technology, which allows for recognition while moving forward – all images captured during movement are recognized in real time. Currently, it is possible to process 25 images per second, with each image being checked using over 100 different algorithms. This represents exponential growth, and thus it requires extremely high computing power. 17. What is infrared level measurement? It is determined based on image algorithms, and the result is presented as a percentage in the form of an image; the accuracy can reach two decimal places, serving as an auxiliary estimate for the actual value. 5. Examples of the explosion protection ratings for optical devices: Exdi II B T4 Gb. Ex: Indicates that the electrical equipment meets one or more of the explosion protection types specified in the national standard GB3836 series, and can therefore be used in explosive hazardous environments. d: Indicates intrinsically safe type. e: Indicates increased safety type. i: Indicates intrinsically safe type. m: Indicates hermetically sealed type. Typical hazardous gases: I: Methane; IIA: Propane; IIB: Ethylene; IIIC: Hydrogen; IIIA: Flammable fibers; IIIB: Non-conductive dust; IIIC: Conductive dust. Temperature groups: T1 ≥ 450°C; 450°C > T2 ≥ 300°C; 300°C > T3 ≥ 200°C; 200°C > T4 ≥ 135°C; 135°C > T5 ≥ 100°C; 100°C > T6 ≥ 85°C. Equipment protection levels: Ga: Very high; Gb: High; Gc: Moderate. Ex d IIB T4 Gb IP65 Ex. Explosion protection markings according to Chinese and International Electrotechnical Commission standards: d – Intrinsically safe type (isolates potential ignition sources); i: Intrinsically safe type (limits the energy of ignition sources). IIB is a classification based on gas groups, with ethylene being representative of the IIB category. Typical hazardous gases: European Committee for Standardization in Electrical Engineering (EN50014 EC), North America’s NEC Article 500, CLASS1 table. In China, it is specified in GB-3836-1. Minimum ignition energy (in microjoules): Acetylene – II C A, II C 20; Hydrogen – II C A, II C 20; Ethylene – II B C, II B 60; Propane – II A D, II A 180. T4 classification is based on temperature groups; the T1 values indicate the maximum allowable surface temperature of the equipment: T1 – 450°C, T2 – 300°C, T3 – 200°C, T4 – 135°C, T5 – 100°C, T6 – 85°C. Temperature categories: Safe surface temperature of objects. Common explosive gases: T1 ≤450℃ – 46 types such as hydrogen and acrylonitrile; T2 ≤300℃ – 47 types such as acetylene and ethylene; T3 ≤200℃ – 36 types such as gasoline and butyraldehyde; T4 ≤135℃ – 6 types such as acetaldehyde and tetrafluoroethylene; T5 ≤100℃ – carbon disulfide; T6 ≤85℃ – ethyl nitrate and ethyl nitrite. Gb: Equipment protection level (higher levels are required when used in environments with explosive gases; equipment can still operate in Zones 1, 2, as well as Zones 21 and 22). At a higher level, there is IP65, which is a protection rating. IP is the international code used to determine protection levels. The IP rating consists of two digits; the first digit indicates protection against dust ； The second digit indicates water resistance; the higher the number, the better the level of protection. Meaning of Ex d IIB T4: Symbol meaning – Code symbol: Meaning. Explosion protection declaration: Ex indicates compliance with certain explosion protection standards, such as the standards in our country. Explosion protection type: d means that the explosion protection mechanism is of the flameproof type. Gas category: IIB – It is permissible to operate in environments with Class IIB explosive gases. Temperature group: T4 – The surface temperature of the instrument does not exceed 135 degrees℃