AI super work clothes

Abstract

The invention relates to AI super work clothes, and belongs to the technical field of auxiliary work. The AI super work clothes comprise a head-mounted device and a work terminal connected with the head-mounted device; the head-mounted device comprises a camera, a microphone and a sound box, and the microphone is used for obtaining voice information in the operation process of a user and sending the voice information to the operation terminal; the sound equipment is used for playing answering information sent by the homework terminal; the operation terminal comprises a semantic analysis module and an auxiliary output module, and the semantic analysis module is used for analyzing voice information by applying an intelligent language model and determining a user intention; the auxiliary output module obtains answer information corresponding to the user intention through an intelligent analysis model; the system further comprises refrigeration clothes, the refrigeration clothes are detachably connected with the operation terminal, the refrigeration clothes supply power to the operation terminal, the head-mounted device, the operation terminal and the refrigeration clothes are assembled into AI super work clothes, a user wears the refrigeration clothes to lower the body temperature, and therefore the super work clothes can improve the work comfort and safety while improving the work efficiency of the user.

Description

Technical Field

[0001] The present application relates to the technical field of auxiliary work, and in particular to an AI super work suit. Background Art

[0002] In all walks of life, the production of enterprises is closely related to people's lives. The smooth progress of operations is a necessary condition to ensure normal production, so operational efficiency and accuracy are particularly important.

[0003] Currently, before operators carry out maintenance, inspection and other operations on site, they need to undergo training to enable them to master the required skills and knowledge. Therefore, the proficiency of operators in mastering skills and knowledge closely affects the efficiency of operations.

[0004] However, the actual conditions at the work site are complex and changeable. Due to deficiencies in the operator's level, it may be difficult to complete the operation quickly and accurately using their own skills and knowledge, which greatly reduces work efficiency and work safety. Summary of the invention

[0005] In order to improve the work efficiency and safety of workers during on-site operations, the present application provides an AI super work suit.

[0006] An AI super work suit adopts the following technical solutions: An AI super work suit, comprising a head-mounted device and a work terminal connected to the head-mounted device; The head-mounted device includes a camera, a microphone and a speaker. The microphone is used to obtain the voice information of the user during the operation and send it to the operation terminal; the speaker is used to play the answer information sent by the operation terminal; The operation terminal includes a semantic analysis module and an auxiliary output module. The semantic analysis module is used to apply an intelligent language model to analyze the voice information and determine the user's intention; the auxiliary output module is used to obtain the answer information corresponding to the user's intention through the intelligent analysis model.

[0007] By adopting the above technical solution, during the operation process, the user wears a head-mounted device. When there is a question during the operation process, the microphone records the user's voice information, and the semantic analysis module of the operation terminal analyzes the voice information to determine the user's intention. Then the auxiliary output module can obtain the corresponding answer information according to the user's intention, and the audio of the head-mounted device plays the answer information, so that the user can answer questions at any time during the operation, assist in the operation, and improve work efficiency and operation safety.

[0008] Furthermore, the camera captures the operation video and sends it to the operation terminal; The operation terminal also includes a behavior analysis module, which includes: A process selection submodule is used to obtain a work scenario and an operation process guidance item selected by a user, wherein the operation process guidance item includes multiple operation steps, and determines the first operation step as the current step; The video screen acquisition submodule is used to acquire the operation video sent by the camera and capture multiple operation screens based on the operation video, specifically for: Get the operation screen at the initial moment; Inputting the operation screen into a deep learning device recognition model; If the operation picture does not include the device corresponding to the operation scene, obtaining the operation picture corresponding to the next moment, and repeating the step of inputting the operation picture into the device recognition model of deep learning; If the operation picture includes the device corresponding to the operation scene, identify the identification feature in the operation picture, and if the identification feature exists, obtain the current operation picture; if the identification feature does not exist, obtain the operation picture corresponding to the next moment, and repeat the step of inputting the operation picture into the deep learning device recognition model; An action combination submodule, used for determining at least one operation screen including the same device as a screen analysis group; A video analysis submodule, used to input the picture analysis group into a deep learning behavior analysis model corresponding to the operation scene to determine user operation information; A step comparison submodule, used to compare the user operation information with the current step to determine whether the user operation information conforms to the current step; A step switching submodule is used to determine the next step as a new current step when the step comparison submodule determines that the user operation information matches the current step; The standard operation comparison submodule is used to compare the user operation information with the standard standards to determine whether the user's operation complies with the standard; The prompt submodule is used to make the audio play prompt information, and / or make the display device on the head mounted device or the operation terminal display prompt information when the user's operation does not conform to the specification or the step comparison submodule determines that the user's operation information does not conform to the current step.

[0009] By adopting the above technical solution, the behavior analysis module can analyze the operation process according to the operation video. Specifically, it can obtain the picture analysis group by selecting the operation picture combination with the operation scene and action characteristics, and then enable the deep learning behavior analysis model to analyze and judge whether the user operation meets the specification standards. When the user operation does not meet the specification, the speaker on the head-mounted device plays prompt information to prompt the user to adjust the operation in time to improve the accuracy of the operation. On the other hand, it can also analyze and judge whether the user operation meets the order of execution steps, prompting the user to execute the steps in the correct process order to improve the accuracy of the operation.

[0010] Furthermore, the operation terminal further includes a target recognition module, and the target recognition module is specifically used to: Acquire image information captured by the user through the camera; Acquire at least one object to be identified in the image information; Displaying the at least one object to be identified in a list for selection by a user; Determine whether the first object to be identified selected by the user from the list is obtained; if so, compare and determine the relevant information corresponding to the first object to be identified in the database; Otherwise, compare and determine the relevant information of the object to be identified in the database in the order of the list; The speaker plays the relevant information in response to the user's start playback operation or pauses playback of the relevant information in response to the user's pause playback operation, and / or, the display device on the head-mounted device or the operating terminal displays the relevant information.

[0011] By adopting the above technical solution, the user selects the image information of the object to be identified through the camera's shooting screen, the target recognition module identifies the object to be identified in the image information, and then determines the position of each object to be identified in the image information, and determines the object to be identified close to the center of the image information based on analysis, and plays or displays the corresponding relevant information in sequence according to the position of the object to be identified, so that the user can quickly query equipment information and relevant data in real time during the operation process, thereby improving work efficiency.

[0012] Furthermore, the operation terminal further includes a task processing module, and the task processing module is specifically used to: Obtain or create at least one to-do task corresponding to the user's functional information; Obtaining the priority of each of the to-do tasks, and displaying each of the to-do tasks in descending order of the priority; Processing the user's to-do tasks in the task list according to the user's selection operation, wherein the selection operation includes agreeing to execute or refusing to execute; If the remaining time of any of the pending tasks is less than the first critical value, the pending task is assigned to the user with the least remaining tasks among the users with the same function, and when the remaining completion time of the pending task is less than the second critical value, a timeout warning message is sent to the user, wherein the second critical value is less than the first critical value; When the user performs the to-do task, the command center communicates with the user to remotely guide the user's operation and / or upload the work log.

[0013] By adopting the above technical solution, the task processing module obtains the to-do tasks corresponding to the user's functional information, and displays each to-do task according to priority, so that the user can first choose to execute the person with high priority, and monitor the remaining time of the to-do tasks in real time, and intelligently allocate tasks to avoid the situation where the tasks are not completed due to no one taking them up. In addition, when the user executes the to-do tasks, he can communicate with the smart center to facilitate remote guidance and improve work efficiency.

[0014] Furthermore, when the semantic analysis module applies the intelligent language model to analyze the voice information and determine the user's intention, it is specifically used to: Converting the voice information into text to obtain text information; Applying the semantic analysis model to analyze the text information to determine whether there are sentences whose semantics are difficult to recognize; If it exists, the sentence whose semantics is difficult to identify is determined as the sentence to be analyzed; Acquire multiple historical words in the user's historical text information, compare the historical words with a preset dialect word library, and determine the dialect library corresponding to the user; Splitting the sentence to be analyzed into a plurality of words to be analyzed, and determining the correlation between two adjacent words to be analyzed; If the correlation between two adjacent words to be analyzed is less than a preset value, determining whether the two adjacent words to be analyzed belong to the dialect library corresponding to the user; If it belongs to the dialect library corresponding to the user, the standard word corresponding to the word to be analyzed is determined to obtain updated text information, and the step of applying the semantic analysis model to analyze the text information is repeated until the semantics is recognized and the user's intention is determined.

[0015] By adopting the above technical solution, the semantic analysis module converts voice information into text, and then analyzes the semantics based on the text. When encountering sentences that are difficult to recognize semantics, it determines whether the dialect affects the recognition accuracy. After avoiding the influence of dialect on semantic recognition, it re-recognizes the semantics, thereby improving the flexibility and accuracy of the application.

[0016] Furthermore, it also includes a refrigeration suit, which is detachably connected to the operation terminal and supplies power to the operation terminal; The refrigeration clothing comprises a clothing body and a refrigeration liner, wherein the clothing body comprises an inner mesh layer and a garment layer arranged in sequence from the inside to the outside; the refrigeration liner comprises a circulating water bag layer; and the refrigeration liner is detachably connected to the clothing body.

[0017] By adopting the above technical scheme, the head-mounted device, the work terminal and the refrigeration suit are used together to assemble a super work suit. As a modular device, the super work suit can be assembled and disassembled, which is convenient for improving the comfort and safety of users' operations in extreme environments. The clothing body is arranged in multiple layers. The inner mesh layer makes the refrigeration suit have better perspiration properties, the infrared reflection layer improves the cooling effect of the clothing body, the garment layer improves the dirt resistance of the refrigeration suit, and the refrigeration liner is used for cooling through water circulation.

[0018] Further, the circulating water bag layer is welded by two layers of TPU fabric, the circulating water bag layer includes a waterway area and a drainage area, the waterway area includes a first partition, a second partition and a third partition that are connected, the first partition and the second partition are respectively facing the front chest of the clothing body, the third partition is facing the upper back of the clothing body, the drainage area is connected to the third partition, and is located in the center of the first partition, the second partition and the third partition and facing the center of the back of the clothing body; The first partition and the second partition are each provided with a cooling source heat exchange pocket, and an ice pack is placed in the cooling source heat exchange pocket; A water injection port is provided in the drainage area; The refrigeration liner also includes a water pump, one end of which is connected to a first pagoda water nozzle communicating with the drainage area through a water pipe, and the other end of which is connected to a second pagoda water nozzle communicating with the waterway area through a water pipe; A convenient water injection opening connected to the water injection port is provided at the center of the back of the clothing body, and a convenient ice bag replacement opening connected to the cooling source heat exchange pocket is provided at the front chest hem of the clothing body; A battery storage pocket is provided at the hem of the placket on one side of the clothing body, and batteries are placed in the battery storage pocket. The batteries are electrically connected to the water pump and the operation terminal respectively.

[0019] By adopting the above technical solution, the ice bag is used to cool the water passing through the heat exchange pocket of the cooling source. The cooled water flows in the circulating water bag layer, from the drainage area to the water channel area, and is pressurized by the water pump to circulate the water to other parts of the clothing body, thereby achieving the purpose of whole body cooling, and the battery can power the electrical appliances in the super work clothes system, thereby improving convenience of use.

[0020] Furthermore, the waterway area includes a plurality of isolation lines formed by welding two layers of TPU fabrics, and a water flow path is formed between every two isolation lines and the two layers of TPU fabrics; The second pagoda water spout is arranged at the starting end of the first partition, and the water flow path of the first partition starts from the lower side of the armhole on the first side of the garment body and covers the front chest on the first side of the garment body from top to bottom in a horizontal direction; The water flow passage at the bottom of the second partition is connected with the water flow passage at the bottom of the first partition at the back of the garment body, and extends horizontally and from bottom to top from the front chest of the second side of the garment body to the lower side of the second armhole; The water flow passage of the third waterway zone is connected with the water flow passage of the second zone at the lower side of the second armhole, and extends upward to the second side shoulder seam of the back of the garment body, extends to the first side shoulder seam of the back of the garment body, and then extends horizontally and from top to bottom to cover the upper side of the back of the garment body and extend to the drainage zone; Flow slowing blocks are arranged in the water flow passage, and the flow slowing blocks include vertical flow slowing blocks and parallel flow slowing blocks. The vertical flow slowing blocks and the parallel flow slowing blocks are staggered, wherein the vertical flow slowing blocks and / or the parallel flow slowing blocks are provided with ventilation holes.

[0021] By adopting the above technical solution, after the water flows out of the drainage area, it is sent to the second partition through the first partition. The second partition guides the water to the upper side of the clothing body, and then the third partition covers the upper side of the back of the clothing body. Therefore, after the water cools down at one side of the chest, it flows through the chest of the body, giving the user a cool feeling faster, and then flows back to the back through the cooling of the other side of the chest, keeping the water cooled in time. Therefore, the cooled water can provide the user with a cool environment to the maximum extent. The slow flow block can slow down the flow speed of water in the water flow path, so that the cold water can absorb the heat from the human body more thoroughly and reduce the motor pressure.

[0022] Furthermore, the first pagoda faucet and the second pagoda faucet both include a water outlet and a joint, the angle between the water outlet and the joint in the water outlet direction is 90 degrees, and an external thread is provided at the end of the joint.

[0023] By adopting the above technical solution, when a person puts on cooling clothes, the first pagoda water spout and the second pagoda water spout are located on the side of the body, and the output port of the pagoda water spout and the direction of the joint are at an angle, so the pagoda water spout follows the curve of the human body, improving the user's wearing comfort.

[0024] Furthermore, the bottom edge of the drainage area is a hypotenuse, and the first pagoda water nozzle is located at the lowest end of the hypotenuse. In summary, the present application includes at least one of the following beneficial technical effects: 1. During the operation, the user wears a head-mounted device. When there are questions during the operation, the user can ask questions. The microphone records the user's voice information. The semantic analysis module of the operation terminal analyzes the voice information and determines the user's intention. Then the auxiliary output module can obtain the corresponding answer information according to the user's intention. The audio of the head-mounted device plays the answer information, so that the user can answer questions at any time during the operation, assist the operation, and improve work efficiency and operation safety; 2. The head-mounted device, the work terminal and the cooling suit are assembled into a super work suit. The user wears the cooling suit to lower the body temperature. Therefore, the super work suit can improve the user's work efficiency, improve the work comfort and ensure personal safety; 3. The operation terminal can identify the objects to be identified in the camera image and provide users with relevant information to improve user operation efficiency and accuracy; 4. The operation terminal can monitor the user's operation process based on the camera images and standardize the user's operation process; 5. The ice packs in the cooling source heat exchange pockets of the cooling suit can effectively cool the water in the circulating water bag layer. Driven by the water pump, the water circulates in the circulating water bag layer, so that the cooled water flows through various positions of the clothing body, lowering the user's body temperature. The water that has exchanged heat with the human body flows back to the cooling source heat exchange pockets again, achieving heat exchange and cooling again, enhancing the user's comfort during the operation and improving work efficiency. 6. The battery in the cooling suit can power the system electrical appliances, improving the convenience and comfort of use; 7. The cooling suit has the functions of power display, water temperature display and multi-speed adjustment of water speed, which improves operability, facilitates users to adjust according to the ambient temperature and improves wearing comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the AI ​​super work suit in the embodiment of the present application.

[0026] Figure 2 It is a structural block diagram of the head-mounted device and the operating terminal in the embodiment of the present application.

[0027] Figure 3 It is a schematic diagram of the front structure of the cooling suit in the embodiment of the present application.

[0028] Figure 4 It is a schematic diagram of the structure of the circulating water bag layer in the embodiment of the present application.

[0029] Figure 5 It is a schematic diagram of the structure of the pagoda water nozzle in the embodiment of the present application.

[0030] Figure 6 It is a schematic diagram of the back structure of the cooling suit in the embodiment of the present application.

[0031] Figure 7 It is a diagram of the electrical control structure of the refrigeration clothing in the embodiment of the present application.

[0032] Reference numerals: 1. head-mounted device; 11. camera; 12. microphone; 13. speaker; 2. operation terminal; 21. semantic analysis module; 22. auxiliary output module; 23. behavior analysis module; 24. target recognition module; 25. task processing module; 3. cooling suit; 31. suit body; 311. Convenient opening for water filling; 32. Refrigeration tank; 321. Circulating water bag layer; 3211. Isolation line; 3212. Water flow path; 3213. Slow flow block; a. Water path area; a1. First partition; a2. Second partition; a3. Third partition; b. Drainage area; 322. Water pump; 323. Water filling port; 324. Cooling source heat exchange pocket; 325. Ice bag; 326. First pagoda water nozzle; 3261. Water outlet; 3262. Connector; 327. Second pagoda water nozzle; 328. Convenient opening for ice bag replacement; 33. Battery storage pocket; 34. Battery; 35. Controller; 36. Power monitoring module; 37. Temperature sensor; 38. Communication module; 4. Command center. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0035] The present application embodiment discloses an AI super work suit, referred to as super work suit, Figure 1 and Figure 2 , including a head-mounted device 1 and an operation terminal 2, the head-mounted device 1 and the operation terminal 2 are connected via a data cable or a wireless communication module, the wireless communication module can be a Bluetooth module, a WIFI module or a 4G / 5G module. The operation terminal 2 can be a smart phone, a tablet computer or an industrial control terminal, etc.

[0036] The head mounted device 1 may be smart glasses or AR glasses, including a frame, on one side of which a camera 11, a microphone 12 and a speaker 13 are respectively arranged.

[0037] The camera 11 captures the operation video of the user during the operation and sends the operation video to the operation terminal 2 ; the microphone 12 collects the voice information of the user during the operation and sends it to the operation terminal 2 .

[0038] Furthermore, the operation terminal 2 includes a semantic analysis module 21 and an auxiliary output module 22. The semantic analysis module 21 and the auxiliary output module 22 can be collectively referred to as an intelligent assistant, which can be awakened by the user's voice. When the operation terminal 2 receives a specific sentence input by the user, the intelligent assistant starts working, allowing the user to ask questions, and then the semantic analysis module 21 and the auxiliary output module 22 analyze the voice and give results.

[0039] In order to avoid confusion between the user's questions during the operation and the communication with other staff, the intelligent assistant will only start when it receives a specific statement.

[0040] When the user wears the head mounted device 1 to work, and asks questions through dialogue, the semantic analysis module 21 uses the intelligent language model to analyze the voice information and determine the user's intention. Then, the operation terminal 2 inputs the user's intention into the intelligent analysis model of the auxiliary output module 22, and outputs the answer information corresponding to the user's intention. Then, the speaker 13 in the head mounted device 1 can play the answer information sent by the operation terminal 2 to the head mounted device 1, so that the user can get intelligent auxiliary operation support in time during the operation process, improve work efficiency, and also improve operation accuracy, which is beneficial to operation safety and reduces operation costs.

[0041] Furthermore, a display device can be selectively provided on the frame, wherein the answer information can be voice information or video information, and when the answer information is video information, the display device can display the video information, thereby further improving work efficiency.

[0042] The semantic analysis module 21 is specifically used for: When analyzing voice information, the voice information is first converted into text to obtain text information, and then the semantic analysis model is applied to analyze the text information.

[0043] Specifically, when training the intelligent language model, the operation terminal 2 collects a large amount of text data as a training set, which covers a wide range of language phenomena and contextual information, and then pre-processes the text data, including word segmentation, stop word removal, stem extraction, etc., so as to convert the text into a format that the model can process. At the same time, modern language models also use word embedding technology to convert words into vectors in a high-dimensional space, thereby capturing the semantic relationship between words.

[0044] The language model is trained using the training set data. During the training process, the model will learn the statistical laws of text data, that is, the joint probability distribution between words. After the model training is completed, for the input text or voice signal (after signal processing and feature extraction), the intelligent language model will use the trained parameters to calculate the probability of the input sequence. By comparing the probability values ​​of different candidate sequences, the model can select the sequence with the highest probability as the recognition result and feedback it to the user, thereby obtaining the semantic information after recognition, that is, the user's intention.

[0045] Furthermore, when training the intelligent analysis model, the operation terminal 2 collects a large number of questions and answers corresponding to each operation scenario as training data, cleans the data, removes noise and irrelevant information, performs natural language processing operations such as word segmentation and part-of-speech tagging on the questions, and converts some training data into numerical form so that the model can process it.

[0046] The model can be a recurrent neural network, a long short-term memory network, or a bidirectional encoder representation model. The model is trained using preprocessed data to learn the mapping relationship between questions and answers. Finally, an independent test set is used to evaluate the performance of the model. When the accuracy reaches the preset value, the training is completed.

[0047] Therefore, the user can assist in the operation in the operation scene according to the coordinated use of the head-mounted device 1 and the operation terminal 2. In order to enrich the use scenarios of the individual intelligent operation assistance system, it can be realized by configuring intelligent analysis models of various industries, such as the coking industry, coal industry, steel industry, automobile manufacturing industry, electronic manufacturing industry, food processing industry, pharmaceutical manufacturing industry, machinery manufacturing industry, chemical and energy industry, logistics and warehousing industry, etc., so as to facilitate users from all walks of life.

[0048] However, the working environment is usually harsh and often high temperature. In order to reduce the possibility of heat stroke caused by high temperature work, refer to Figure 1 The AI ​​super work suit also includes a cooling suit 3, which is detachably connected to the user terminal 2 and used together with the head-mounted device 1 and the work terminal 2. It is called a super work suit. When the user wears the cooling suit 3, the body temperature can be reduced, which can improve the user's work efficiency while also improving the comfort and safety of the work.

[0049] Reference Figure 3 and Figure 4 The cooling suit 3 includes a clothing body and a cooling liner 32. The clothing body 31 has various forms, such as long-sleeved clothing or short-sleeved clothing style, or a vest style. This application takes the vest style as an example for introduction.

[0050] The clothing body 31 is composed of multiple layers of materials, including an inner mesh layer and a garment layer arranged in sequence from the inside to the outside.

[0051] The inner mesh layer is made of cool and quick-drying material, made of chemical fibers such as viscose fiber, polyester, nylon, etc. The inner mesh layer has good air permeability, moisture absorption and perspiration. The inner mesh layer is located in the innermost layer of the clothing body 31, closest to the human body, and can quickly absorb sweat discharged from the body and evaporate it quickly, thereby keeping the body dry and improving wearing comfort. The garment layer can be made of dirt-resistant materials, such as polyester materials. Reflective strips can also be set on the garment layer to improve the safety of the operation process.

[0052] In another possible implementation, an infrared reflective layer may be selectively provided between the inner mesh layer and the garment layer. The infrared reflective layer is made of aluminum foil material, which has good heat preservation and cold preservation effects, and the thermal conductivity of the aluminum foil material is low, which can effectively isolate the influence of the external temperature on the temperature inside the garment body 31. When the refrigeration liner provides a cool environment, the infrared reflective layer effectively maintains the cool environment.

[0053] It should be noted that when the multiple layers of fabric of the clothing body 31 are sewn together, the layers need to fit as closely as possible to ensure temperature conduction, so that the low temperature of the refrigeration liner 32 can be effectively conducted to the human body.

[0054] The refrigeration liner 32 includes a circulating water bag layer 321. The refrigeration liner 32 can be fixed to the inside of the garment body 31 (the shaded area in the figure is the fixed area) by means of a zipper, a button or a Velcro, etc., for easy removal. In another possible implementation, in order to improve the wearing feeling, an inner mesh layer can also be provided inside the circulating water bag layer 321, so that the refrigeration liner 32 and the inner layer fabric of the garment body 31 are unified.

[0055] The circulating water bladder layer 321 is a TPU (Thermoplastic polyurethanes, thermoplastic polyurethane elastomer rubber) plastic material. The TPU material has the characteristics of high strength, wear resistance, leakage resistance, etc., and has good processing performance. It can be processed using common thermoplastic material processing methods. The circulating water bladder layer 321 in the present application is welded by two layers of TPU fabrics. The welding method can be hot air welding, high frequency welding, radio frequency welding, ultrasonic welding, and hot pressure welding. Then, a water channel is formed between the two layers of TPU fabrics by welding, so that water can flow in the circulating water bladder layer 321. The refrigeration liner 32 also includes a water pump 322 connected to the circulating water bladder layer 321 to promote water circulation.

[0056] Further, refer to Figure 4 The circulating water bag layer 321 includes a waterway area a and a drainage area b. The waterway area a can make water flow, and the drainage area b is used to inject water and drive the water to circulate. The waterway area a includes a first partition a1, a second partition a2 and a third partition a3 that are connected. The first partition a1 and the second partition a2 are respectively opposite to the front chest of the clothing body 31, and the third partition a3 is opposite to the upper back of the clothing body 31. The drainage area b is located in the center of the first partition a1, the second partition a2 and the third partition a3, and the third partition a3 is opposite to the center of the back of the clothing body 31. The drainage area b is a semi-enclosed area, the top of which is connected to the third partition a3 and the bottom is closed. A water injection port 323 is provided at the top of the drainage area b. The water injection port 323 includes a water injection interface installed on the circulating water bag layer 321 and a water injection top cover detachably connected to the water injection interface. The water injection top cover can be connected to the water injection interface by a screw or a snap-on method. Therefore, after opening the water injection top cover, water can be injected into the waterway.

[0057] One end of the water pump 322 is connected to a first pagoda water nozzle 326 communicating with the drainage area b through a water pipe, and the other end is connected to a second pagoda water nozzle 327 communicating with the waterway area b through a water pipe. The first pagoda water nozzle 326 is set at the bottom of the drainage area b, the starting end of the first partition a1 is closed, and the second pagoda water nozzle 327 is set at the starting end of the first partition a1, so that the water pump 322 connects the drainage area b with the waterway area a, and the water injected into the drainage area b is circulated to the waterway area a through the driving of the water pump 322, and the water flows back to the drainage area b after the circulation is completed.

[0058] Reference Figure 4 and Figure 5The first pagoda faucet 326 and the second pagoda faucet 327 both include a water outlet 3261 and a joint 3262. The water outlet direction angle between the water outlet 3261 and the joint 3262 is 90 degrees, and an external thread is provided at the end of the joint 3262. The joints 3262 of the first pagoda faucet 326 and the second pagoda faucet 327 are both connected to the water pipe, and the shapes of the first pagoda faucet 326 and the second pagoda faucet 327 are more in line with the curvature of the body, reducing the discomfort of the human body when wearing.

[0059] Furthermore, the bottom edge of the drainage area b is a hypotenuse, and the first pagoda water nozzle 326 is located at the lowest end of the hypotenuse, so that water can gather at the first pagoda water nozzle 326 under the action of gravity, so that the water pump 322 can effectively circulate water when filled with water.

[0060] Reference Figure 4 In order to achieve a cooling effect, a cooling source heat exchange pocket 324 is provided in the center of the first water flow area a1 and the second water flow area a2, and an ice bag 325 is placed in the cooling source heat exchange pocket 324, and the ice bag 325 can be recycled. After the ice bag 325 is placed, the ice bag 325 is closely attached to the circulating water bag layer 321, absorbing the heat of the circulating water bag layer 321 at the cooling source heat exchange pocket 324, reducing the water temperature, and then facing the circulation of the cooled water in the water channel, the whole body is cooled.

[0061] At the same time, after the water is cooled by the cooling source heat exchange pocket 324 in the first water flow area a1, it circulates to the second water flow area a2, and the cooling effect may be reduced. Then the water is cooled by heat exchange in the cooling source heat exchange pocket 324 in the second water flow area a2 again, and then the water after the second cooling flows to the third water flow area a3, so that the entire refrigeration tank 32 has a balanced cooling effect.

[0062] In addition, the inner layer of the cooling source heat exchange pocket 324 is a thickened reflective insulation material, and the outer layer is composed of a combination of a standard reflective insulation fabric and a fabric consistent with the garment layer. The thickened reflective insulation material is convenient for reducing the wearer's perception of the cooling source and ensuring the user's comfort, while the standard reflective insulation fabric on the outer layer is used to reduce the loss of cold energy. When the ice pack 325 melts, the cooling effect is reduced, and the ice pack 325 can be taken out of the cooling source heat exchange pocket 324 for refreezing and replacement. Condensation water will be generated during the heat absorption process of the ice pack 325. The inner and outer layers of the cooling source heat exchange pocket 324 are both reflective insulation materials, and they also have good waterproof properties, which can effectively prevent condensation water from wetting other parts of the clothing body 31.

[0063] Furthermore, in order to make the water flow evenly to each position of the refrigeration liner, the water channel area a also includes isolation lines 3211, and a water flow channel 3212 is formed between every two isolation lines 3211 and two layers of TPU fabric.

[0064] It should be noted that, in order to facilitate the explanation of the position of the waterway area a, a first side armhole and a second side armhole are set below, that is, the two armholes of the garment body respectively, the shoulder seam on the same side as the first side armhole is the first side shoulder seam, and the shoulder seam on the same side as the second side armhole is the second side shoulder seam.

[0065] The water flow passage 3212 of the first partition a1 starts from the lower side of the armhole on the first side of the garment body 31 and covers the entire front chest area on the first side of the garment body 31 from top to bottom.

[0066] The water flow passage 3212 at the bottom of the second partition a2 is connected with the water flow passage 3212 at the bottom of the first partition a1 at the back of the garment body 31, and extends horizontally and from bottom to top from the second side front chest of the garment body 31 to the lower side of the second armhole.

[0067] The water flow passage 3212 of the third partition a3 is connected with the water flow passage 3212 of the second partition a2 at the lower side of the second side armhole, and extends upward to the second side shoulder seam of the back of the clothing body 31, and then extends to the first side shoulder seam of the back of the clothing body 31, and then extends horizontally and from top to bottom to cover the upper side of the back of the clothing body 31 and extend to the drainage area.

[0068] Slow flow blocks 3213 are also arranged in the water flow passage 3212. The slow flow blocks 3213 include vertical slow flow blocks and parallel slow flow blocks. The vertical slow flow blocks are perpendicular to the extension direction of the water flow passage, and the parallel slow flow blocks are parallel to the extension direction of the water flow passage. The vertical slow flow blocks are changed according to the width of the water flow passage so that the distances between the upper and lower ends of the vertical slow flow blocks and the two sides of the water flow passage remain consistent. At least one parallel slow flow block is arranged between two adjacent vertical slow flow blocks, and the spacing between two adjacent parallel slow flow blocks is equal.

[0069] The vertical slow-flow blocks and the horizontal slow-flow blocks are staggered to slow down the flow of water in the water flow path 3212 and reduce the load of the water pump 322. A large number of horizontal water flow paths can reduce the pressure of the water pump 322 while preventing the water from flowing back downward after the water pump 322 is powered off.

[0070] In order to enhance the wearing comfort of the ultra-short-term suit, ventilation holes are provided on the vertical slow-flow blocks and / or the parallel slow-flow blocks, and the present application is demonstrated on the vertical slow-flow blocks.

[0071] Further, refer to Figure 6In order to facilitate the addition of water into the refrigeration liner 32 through the water injection port 323, a convenient water injection opening 311 is provided in the center of the back of the clothing body 31. The convenient water injection opening 311 can be any structure that is easy to open and close, such as an openable zipper, an opening with snaps or Velcro. The convenient water injection opening 311 is directly opposite to the position of the water injection port 323, so it is convenient for the staff to inject water into the refrigeration liner 32 outside the clothing body 31 without removing the refrigeration liner 32.

[0072] Reference Figure 3 In order to facilitate the replacement of the ice pack 325, an ice pack replacement convenient opening 328 is provided at the front chest hem on both sides of the clothing body 31. The ice pack replacement convenient opening 328 can be an openable zipper, an opening with snaps or Velcro, etc., any structure that is easy to open and close. The ice pack replacement convenient opening 328 is directly opposite to the position of the cooling source heat exchange pocket 324, so that the staff can replace the ice pack 325 outside the clothing body 31.

[0073] Furthermore, a battery storage pocket 33 is provided at the hem of one side of the garment body 31. The battery storage pocket 33 is made of the same fabric as the garment layer. A battery 34 is placed in the battery storage pocket 33. A start button is provided on the battery storage pocket 33, and the start button is used to turn the battery 34 on and off.

[0074] The battery 34 can be selected as a lithium battery, and can adopt a 3-in-3-in-parallel solution or other types of batteries. In addition to the basic charging and discharging functions, it also needs to carry a balancing function to ensure the durability of the battery 34. The battery 34 is provided with multiple interfaces, and the battery 34 is connected to the water pump 322 to power the water pump 322. In addition, the battery 34 can also be connected to the outside of the clothing body 31 through a connecting line, and Velcro is provided on the garment layer to fix the connecting line. When the user uses the operation terminal 2, the connecting line is connected to the operation terminal 2, and the battery 34 can power the operation terminal 2.

[0075] On the other hand, since the cooling source heat exchange pocket 324 and the battery storage pocket 33 are staggered, the heat generated during the discharge process of the battery 34 is effectively prevented from affecting the cooling effect of the ice pack 325.

[0076] Further, refer to Figure 7 The cooling suit 3 further includes a controller 35 , the controller 35 is connected to a power monitoring module 36 , and the power monitoring module 36 is connected to the battery 34 for monitoring the battery power.

[0077] A plurality of temperature sensors 37 are also arranged at various locations in the circulating water bag layer 321, and at least one temperature sensor 37 is arranged at the location of the cooling source heat exchange pocket 324 with the lowest temperature, the battery storage pocket 33 with the highest temperature, and the location of the water pump 322, so as to monitor the lowest water temperature and the highest water temperature in the refrigeration suit 3. In addition, a plurality of temperature sensors 37 are also arranged at other locations, and the temperature sensors 37 are connected to the controller 35, so as to monitor the water temperature at other locations of the refrigeration suit 3 and comprehensively judge the temperature of the refrigeration suit 3.

[0078] The controller 35 is also connected to the water pump 322. The controller 35 can change the current of the water pump 322, thereby changing the rotation speed of the water pump, thereby controlling the water circulation speed and realizing the function of multi-speed adjustment.

[0079] The controller 35 is also connected to a communication module 38, which may be a Bluetooth module, a 4G / 5G communication module or a WIFI module. The controller 35 wirelessly communicates with the operating terminal 2 via the communication module 38, so that the operating terminal 2 can check the battery power and the temperature of each position of the refrigeration service 3, and the user can send a signal to the controller 35 via the operating terminal 2 to adjust the water circulation speed gear.

[0080] The controller 35 may also be wiredly connected to the operation terminal 2 via a communication line, so that communication is performed between the controller 35 and the operation terminal 2 .

[0081] Furthermore, the operation terminal 2 also includes a behavior analysis module 23, which is mostly used in scenes such as equipment inspection. The behavior analysis module 23 includes: The process selection submodule is used to obtain the work scenario and operation process guidance item selected by the user. The operation process guidance item includes multiple operation steps, and the first operation step is determined as the current step.

[0082] Specifically, after the user wears the head mounted device 1 and uses the operation terminal 2, before entering the operation, the user selects the operation scene on the operation terminal 2, which may be an industrial production scene, a building construction scene, etc. Since the operation terminal 2 is configured with an operation monitoring strategy, an intelligent language model, and an auxiliary output module 22 corresponding to each operation scene, it is necessary to determine the operation scene in advance to narrow the scope of data analysis.

[0083] If the behavior analysis module 23 is needed to guide the operation, the user can select an operation flow guidance item in the operation terminal 2. Each operation scene includes multiple operation flow guidance items, and each operation flow guidance item includes multiple operation steps. Before starting the operation, the first operation step is determined as the current step.

[0084] The video screen acquisition submodule is used to acquire the operation video sent by the camera 11 and capture multiple operation screens based on the operation video, specifically for (step Sa to step Sd): Step Sa: obtaining the operation picture at the initial moment; Step Sb: inputting the operation screen into the deep learning device recognition model; Step Sc: If the operation picture does not include the equipment corresponding to the operation scene, obtain the operation picture corresponding to the next moment and repeat step Sb; Step Sd: If the operation screen includes equipment corresponding to the operation scene, identify the identification features in the operation screen. If the identification features exist, obtain the current operation screen; if the identification features do not exist, obtain the operation screen corresponding to the next moment and repeat step Sb.

[0085] Specifically, in order to accurately identify whether the user's operation in the operation screen meets the specifications, it is necessary to obtain the screen related to the operation from the video. The video screen acquisition submodule first determines the equipment in the operation scene, and then obtains the operation screen with identification features in the operation scene with the equipment. The identification features may include operation actions or tools. Then, the operation screen includes the operation status of the equipment and the user.

[0086] The action combination submodule is used to determine at least one operation screen including the same device in a continuous time period as a screen analysis group.

[0087] Specifically, in order to analyze the user's continuous actions, the action combination submodule determines the operation screens after the user operates the same device as a screen analysis group in chronological order, and each screen analysis group may include at least one operation screen.

[0088] The video analysis submodule is used to input the picture analysis group into the deep learning behavior analysis model corresponding to the operation scene to determine the user's operation information.

[0089] Specifically, the deep learning behavior analysis module 23 analyzes multiple work screens in the screen analysis group through a motion recognition algorithm to determine the user's motion sequence and rhythm.

[0090] The step comparison submodule is used to compare the user operation information with the standard operation information corresponding to the current step to determine whether the user operation information conforms to the current step.

[0091] The step switching submodule is used to determine the next step as the new current step when the step comparison submodule determines that the user operation information is consistent with the current step.

[0092] The standard operation comparison submodule is used to compare the user operation information with the standard standards to determine whether the user's operation complies with the standards.

[0093] The prompt submodule is used to make the speaker 13 play prompt information and / or make the display device on the head-mounted device or the operation terminal 2 display prompt information when the user's operation does not conform to the specification or the step comparison submodule determines that the user's operation information does not conform to the current step.

[0094] Specifically, if the user has not selected the operation process guidance item, the standard operation comparison submodule compares the user operation with the standard to determine whether it complies with the standard, and if it does not comply with the standard, the prompt submodule prompts the user; if the user has selected the operation process guidance item, then while determining whether the user operation complies with the standard, the step comparison submodule determines whether the user operation complies with the current step, whether there are any execution errors or missing steps, and when the operation complies with the step sequence, the step switching submodule updates the current step, and when the operation does not comply with the step sequence, the prompt submodule prompts the user.

[0095] Prompt users can play prompt messages or display prompt messages.

[0096] In another possible implementation, the user may need to query and understand the data of the equipment during the operation. To facilitate the user's operation, the operation terminal 2 further includes a target identification module 24. The target identification module 24 is specifically used for (steps S11 to S17): Step S11: Acquire image information captured by the user through the camera 11.

[0097] Specifically, the user uses the camera 11 to shoot the target object to be identified to obtain image information.

[0098] Step S12: Acquire at least one object to be identified in the image information.

[0099] Step S13: display at least one object to be identified in a list for selection by the user.

[0100] Specifically, the target recognition module 24 intercepts only a partial image of the object to be recognized in the image information, and displays each partial image in a list. The list can be displayed on the display device of the operation terminal 2 or the head-mounted device 1, and the user can select the object to be recognized for which relevant information needs to be obtained on the operation terminal 2.

[0101] Step S14: determine whether the first object to be identified selected by the user from the objects to be identified is obtained; if so, execute step S15: compare and determine the relevant information corresponding to the first object to be identified in the database; otherwise, execute step S16.

[0102] Specifically, when the user obtains image information through shooting, it may include multiple objects to be identified. In order to accurately determine the only object to be identified, the user clicks on the screen of the work terminal 2 and selects the object to be identified as the first object to be identified. The target recognition module 24 then compares the database to identify the first object to be identified and obtains relevant information.

[0103] Step S16: Determine the relevant information of the object to be identified by comparing it with the database in the order of the list.

[0104] Specifically, the target recognition module 24 generates the list in a random order according to the order in which the objects to be recognized are recognized. When the user does not select the first object to be recognized, the target recognition module 24 can automatically recognize each object to be recognized and query relevant information in a predetermined order.

[0105] Step S17: Enable the speaker 13 to play the relevant information in response to the user's start playback operation or to pause the playback of the relevant information in response to the user's pause playback operation, and / or enable the display device on the head mounted device 1 or the operating terminal 2 to display the relevant information.

[0106] In another possible implementation, the target recognition module 24 may generate a list based on the positions of the objects to be recognized, including: Determine the position information of each object to be identified in the image information; arrange the objects to be identified in ascending order according to the distance between the position information and the center of the image information to obtain a first sequence; and determine the relevant information corresponding to the object to be identified by comparing in the database according to the order of the first sequence.

[0107] Specifically, the target recognition module 24 obtains each object to be identified in the image information, and then first compares and determines the object to be identified near the center of the image information in the database. The object to be identified near the center of the image information may be the target that the user wants to query. In order to provide the user with relevant information of all objects, the objects to be identified are identified in sequence according to the first sequence in ascending order of distance from the center of the image information.

[0108] In another possible implementation, the operation terminal 2 further includes a task processing module 25, and the task processing module 25 is specifically used for (steps S21 to S25): Step S21: Acquire or create at least one to-do task corresponding to the user's role information.

[0109] Specifically, each user opens an account in the operation terminal 2, and the user's role information is stored in the account. Then, the task processing module 25 selects the corresponding to-do task according to the user's role.

[0110] On the other hand, the user can actively create to-do tasks on the work terminal 2.

[0111] Step S22: Obtain the priority of each to-do task, and display each to-do task in descending order of priority.

[0112] Specifically, the priority of to-do tasks can be determined based on the generation time of the to-do tasks, or based on the length of the remaining completion time. If the priority is determined based on the generation time, the first generated to-do task has a higher priority; if the priority is determined based on the length of the remaining completion time, the shorter the remaining completion time, the higher the priority. To-do tasks are then displayed in descending order of priority. The higher the priority, the higher the order in the to-do list, so that users can prioritize tasks that were generated earlier or have a shorter remaining time.

[0113] Step S23: Processing the user's responses to the various pending tasks in the task list according to the user's selection operation, where the selection operation includes agreeing to execute or refusing to execute.

[0114] Specifically, the user can choose to accept or reject the pending task according to his / her own wishes and perform operations on the work terminal 2.

[0115] Step S24: If there is any pending task whose remaining completion time is less than the first critical value, the pending task will be assigned to the user with the least remaining tasks among the users with the same function, and when the remaining completion time of the pending task is less than the second critical value, a timeout warning SMS will be sent to the user, wherein the second critical value is less than the first critical value.

[0116] Specifically, if any pending task is rejected by all users, the completion progress of the task may be affected due to the overdue. Therefore, when the remaining completion time of the pending task is less than the first critical value, it is forcibly allocated to the user with the least remaining tasks among the users with the same function, so that the pending task can be completed as soon as possible. If the user still fails to handle this task in time, when the remaining completion time is less than the second critical value, a timeout warning message is generated and sent to the user, prompting the user to give priority to this task. The timeout warning message can be sent via SMS or pop-up prompts.

[0117] Step S25: When the user performs the to-do task, in response to the user's operation instruction, communicate with the command center for remote communication and / or upload the work log.

[0118] Specifically, refer to Figure 1 When the user is performing a pending task and needs assistance from the command center 4, the user can request remote assistance at the work terminal 2. The task processing module 25 responds to the user's operation instructions, allowing the work terminal 2 to communicate with the command center 4, allowing the user to communicate remotely with the staff of the command center 4, and can upload work logs through the work terminal 2 during the execution of the pending task.

[0119] In another possible implementation, when determining the user intention, the semantic analysis module 21 is specifically used for (steps S31 to S37): Step S31: convert the voice information into text to obtain text information.

[0120] Step S32: applying the semantic analysis model to analyze the text information to determine whether there are sentences whose semantics are difficult to recognize.

[0121] If so, step S33 is executed: the sentence whose semantics is difficult to identify is determined as the sentence to be analyzed.

[0122] Step S34: obtaining multiple historical words in the user's historical text information, comparing the historical words with a preset dialect word library, and determining the dialect library corresponding to the user; Step S35: split the sentence to be analyzed into multiple words to be analyzed, and determine the correlation between two adjacent words to be analyzed; Step S36: if the correlation between two adjacent words to be analyzed is less than a preset value, determine whether the two adjacent words to be analyzed belong to the dialect library corresponding to the user; Step S37: If it belongs to the dialect library corresponding to the user, determine the standard word corresponding to the word to be analyzed, obtain the updated text information, and repeat the step of applying the semantic analysis model to analyze the text information until the semantics is recognized and the user's intention is determined.

[0123] The AI ​​super work clothes in the embodiment of the present application have the following technical effects: during the operation, the user wears the head-mounted device 1, and when there are questions during the operation, the user can ask questions, the microphone 12 collects the user's voice information, the semantic analysis module 21 of the operation terminal 2 analyzes the voice information, determines the user's intention, and then the auxiliary output module 22 can obtain the corresponding answer information according to the user's intention, and the speaker 13 of the head-mounted device 1 plays the answer information, so that the user can answer questions at any time during the operation, assist in the operation, and improve work efficiency.

[0124] When the user wears the cooling suit 3 in an extremely high temperature environment, the ice bag 325 provided in the cooling source heat exchange pocket 324 of the cooling suit 3 can effectively and continuously cool the water in the circulating water bag layer 321, so that under the drive of the water pump 322, the water circulates in the circulating water bag layer 321, so that the cooled water flows through various positions of the clothing body, lowering the user's body temperature, and the water after heat exchange with the human body flows back to the cooling source heat exchange pocket 324 again, realizing heat exchange and cooling again, enhancing the user's comfort during the operation process and improving work efficiency.

[0125] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

[0126] In addition, it is to be understood that relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprises," "comprising," or any other variation thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or elements that are inherent to such process, method, article, or device.

Claims

1. An AI super work suit, characterized in that: It comprises a head-mounted device (1) and an operation terminal (2) connected to the head-mounted device (1); The head mounted device (1) comprises a camera (11), a microphone (12) and a speaker (13); the microphone (12) is used to obtain voice information of a user during operation and send it to the operation terminal (2); the speaker (13) is used to play the answer information sent by the operation terminal (2); The operation terminal (2) comprises a semantic analysis module (21) and an auxiliary output module (22), wherein the semantic analysis module (21) is used to analyze the voice information using an intelligent language model to determine the user's intention; and the auxiliary output module (22) is used to obtain answer information corresponding to the user's intention through the intelligent analysis model.

2. The AI ​​super workwear according to claim 1, characterized in that: It also comprises a refrigeration suit (3), the refrigeration suit (3) being detachably connected to the operation terminal (2), and the refrigeration suit (3) supplies power to the operation terminal (2); The refrigeration clothing (3) comprises a clothing body (31) and a refrigeration liner (32); the clothing body (31) comprises an inner mesh layer and a garment layer arranged in sequence from the inside to the outside; the refrigeration liner (32) comprises a circulating water bag layer (321); The refrigeration liner (32) is detachably connected to the clothing body (31).

3. The AI ​​super workwear according to claim 2, characterized in that: The circulating water bag layer (321) is formed by welding two layers of TPU fabric, and the circulating water bag layer (321) comprises a water channel area (a) and a drainage area (b), wherein the water channel area (a) comprises a first partition (a1), a second partition (a2) and a third partition (a3) ​​which are connected to each other, wherein the first partition (a1) and the second partition (a2) are respectively opposite to the front chest of the clothing body (31), and the third partition (a3) ​​is opposite to the upper back of the clothing body (31), and the drainage area (b) is connected to the third partition (a3) ​​and is located in the center of the first partition (a1), the second partition (a2) and the third partition (a3) ​​and opposite to the center of the back of the clothing body (31); The first partition (a1) and the second partition (a2) are each provided with a cooling source heat exchange pocket (324), and an ice bag (325) is placed in the cooling source heat exchange pocket (324); A water injection port (323) is provided in the drainage area (b); The refrigeration liner (32) further comprises a water pump (322), one end of the water pump (322) being connected to a first pagoda water nozzle (326) in communication with the drainage area (b) via a water pipe, and the other end of the water pump (322) being connected to a second pagoda water nozzle (327) in communication with the waterway area (a) via a water pipe; A convenient water injection opening (311) connected to the water injection port (323) is provided at the center of the back of the clothing body (31), and a convenient ice bag replacement opening (328) connected to the cooling source heat exchange pocket (324) is provided at the front chest hem of the clothing body (31); A battery storage pocket (33) is provided at the hem of one side of the placket of the clothing body (31), and a battery (34) is placed in the battery storage pocket (33). The battery (34) is electrically connected to the water pump (322) and the operation terminal (2) respectively.

4. The AI ​​super workwear according to claim 3, characterized in that: The water channel area (a) comprises a plurality of isolation lines (3211) formed by welding two layers of TPU fabrics, and a water flow channel (3212) is formed between every two isolation lines (3211) and the two layers of TPU fabrics; The second pagoda water nozzle (327) is arranged at the starting end of the first partition (a1), and the water flow path (3212) of the first partition (a1) starts from the lower side of the first side armhole of the garment body (31) and covers the first side front chest of the garment body (31) horizontally and from top to bottom; The water flow passage (3212) at the bottom of the second partition (a2) is connected to the water flow passage (3212) at the bottom of the first partition (a1) at the back of the garment body (31), and extends horizontally and from bottom to top from the front chest of the second side of the garment body (31) to the lower side of the second armhole; The water flow passage (3212) of the third water channel area (a3) ​​is connected to the water flow passage (3212) of the second subarea (a2) at the lower side of the second side armhole, and extends upward to the second side shoulder seam of the back of the garment body (31), extends to the first side shoulder seam of the back of the garment body (31), and then extends horizontally and from top to bottom to cover the upper side of the back of the garment body (31) and extend to the drainage area (b); Flow slowing blocks (3213) are arranged in the water flow passage (3212), and the flow slowing blocks (3213) include vertical flow slowing blocks and parallel flow slowing blocks, and the vertical flow slowing blocks and the parallel flow slowing blocks are arranged alternately, wherein the vertical flow slowing blocks and / or the parallel flow slowing blocks are provided with ventilation holes.

5. The AI ​​super workwear according to claim 3, characterized in that: The first pagoda faucet (326) and the second pagoda faucet (327) both comprise a water outlet (3261) and a joint (3262); the water outlet direction angle between the water outlet (3261) and the joint (3262) is 90 degrees, and an external thread is provided at the end of the joint (3262).

6. The AI ​​super workwear according to claim 4, characterized in that: The bottom edge of the drainage area (b) is a hypotenuse, and the first pagoda water nozzle (326) is located at the lowest end of the hypotenuse.

7. The AI ​​super workwear according to claim 1, characterized in that: The camera (11) captures the operation video and sends it to the operation terminal (2); The operation terminal (2) further comprises a behavior analysis module (23), wherein the behavior analysis module (23) comprises: A process selection submodule, used to obtain a work scenario and / or an operation process guidance item selected by a user, wherein the operation process guidance item includes multiple operation steps, and determines the first operation step as the current step; The video screen acquisition submodule is used to acquire the operation video sent by the camera (11) and to capture multiple operation screens based on the operation video, specifically for: Get the operation screen at the initial moment; Inputting the operation screen into a deep learning device recognition model; If the operation picture does not include the device corresponding to the operation scene, obtaining the operation picture corresponding to the next moment, and repeating the step of inputting the operation picture into the device recognition model of deep learning; If the operation picture includes the equipment corresponding to the operation scene, identify the identification features in the operation picture, and if the identification features exist, obtain the current operation picture; if the identification features do not exist, obtain the operation picture corresponding to the next moment, and repeat the step of inputting the operation picture into the deep learning equipment recognition model; An action combination submodule, used for determining at least one operation screen including the same device as a screen analysis group; A video analysis submodule, used for inputting the picture analysis group into a deep learning behavior analysis model corresponding to the operation scene to determine user operation information; A step comparison submodule, used to compare the user operation information with the standard operation information corresponding to the current step, to determine whether the user operation information conforms to the current step; A step switching submodule is used to determine the next step as a new current step when the step comparison submodule determines that the user operation information matches the current step; The standard operation comparison submodule is used to compare the user operation information with the standard standards to determine whether the user's operation complies with the standard; A prompt submodule is used to make the speaker (13) play prompt information and / or make the display device on the head mounted device (1) or the operation terminal (2) display prompt information when the user's operation does not conform to the specification or the step comparison submodule determines that the user's operation information does not conform to the current step.

8. The AI ​​super workwear according to claim 1, characterized in that: The operation terminal (2) further comprises a target recognition module (24), wherein the target recognition module (24) is specifically used to: Acquiring image information captured by the user through the camera (11); Acquire at least one object to be identified in the image information; Displaying the at least one object to be identified in a list for selection by a user; Determine whether the first object to be identified selected by the user from the list is obtained; if so, compare and determine the relevant information corresponding to the first object to be identified in the database; Otherwise, compare and determine the relevant information of the object to be identified in the database in the order of the list; The speaker (13) is caused to play the relevant information in response to a user's start playback operation or to pause playback of the relevant information in response to a user's pause playback operation, and / or the display device on the head mounted device (1) or the operation terminal (2) is caused to display the relevant information.

9. The AI ​​super workwear according to claim 1, characterized in that: The operation terminal (2) further comprises a task processing module (25), wherein the task processing module (25) is specifically used to: Obtain or create at least one to-do task corresponding to the user's functional information; Obtaining the priority of each of the to-do tasks, and displaying each of the to-do tasks in descending order of the priority; Processing the user's to-do tasks in the task list according to the user's selection operation, wherein the selection operation includes agreeing to execute or refusing to execute; If the remaining completion time of any of the pending tasks is less than the first critical value, the pending task is assigned to the user with the least remaining tasks among the users with the same function, and when the remaining completion time of the pending task is less than the second critical value, a timeout warning message is sent to the user, wherein the second critical value is less than the first critical value; When the user performs the to-do task, in response to the user's operation instruction, the command center (4) is communicated with for remote communication, and / or the work log is uploaded.

10. The AI ​​super workwear according to claim 1, characterized in that: When the semantic analysis module (21) applies the intelligent language model to analyze the voice information and determine the user's intention, it is specifically used to: Converting the voice information into text to obtain text information; Applying the semantic analysis model to analyze the text information to determine whether there are sentences whose semantics are difficult to recognize; If it exists, the sentence whose semantics is difficult to identify is determined as the sentence to be analyzed; Acquire multiple historical words in the user's historical text information, compare the historical words with a preset dialect word library, and determine the dialect library corresponding to the user; Splitting the sentence to be analyzed into a plurality of words to be analyzed, and determining the correlation between two adjacent words to be analyzed; If the correlation between two adjacent words to be analyzed is less than a preset value, determining whether the two adjacent words to be analyzed belong to the dialect library corresponding to the user; If it belongs to the dialect library corresponding to the user, the standard word corresponding to the word to be analyzed is determined to obtain updated text information, and the step of applying the semantic analysis model to analyze the text information is repeated until the semantics is recognized and the user's intention is determined.

Images