Operation control method and system for lifting dissecting table

Abstract

The invention relates to the technical field of data processing, in particular to a lifting dissecting table operation control method and system. The method comprises the steps that operation habit information of a target user currently operating the lifting dissecting table is acquired, and a target user type corresponding to the target user is determined from multiple user types according to the operation habit information; in response to the recognized preset gesture of the target user, determining a target control instruction according to the preset gesture and a first preset corresponding relation; determining a target response amplitude corresponding to the target user type according to the target control instruction, the target user type and a second preset corresponding relation; and controlling the lifting dissecting table to adjust the target attitude information indicated by the target control instruction according to the target response amplitude and the adjustment direction indicated by the target control instruction. By means of the technical scheme, the portability and efficiency of controlling the lifting dissecting table can be guaranteed.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method and system for controlling the operation of a lifting dissection table. Background Technology

[0002] A lifting dissection table is a device used for dissection experiments or surgical procedures, and is applied in fields such as medical teaching, scientific research and forensic dissection. The lifting dissection table is equipped with a lifting component, which allows the height of the table surface to be adjusted manually or electrically.

[0003] Operators can adjust the height of the tabletop before or during operation to accommodate operators of different heights or different operating scenarios, reducing the number of times operators need to bend over and improving their comfort when using the lifting dissection table.

[0004] Currently, when operators adjust the height of the dissection table, they need to contact the control components of the dissection table or the remote control of the dissection table. During the process of using the dissection table for medical dissection, experimental operations or surgery, the operator's hands will inevitably be contaminated with blood, body fluids, disinfectant or other experimental liquids, causing contamination of the control components of the dissection table or the remote control.

[0005] To avoid contaminating the control components or remote control of the dissection table, operators need to perform additional handwashing or disinfection procedures before operating the dissection table's height control. This increases the time and cost of operating the dissection table, making it difficult to ensure the portability and efficiency of controlling the height of the dissection table while achieving height control. Summary of the Invention

[0006] To ensure the portability and efficiency of controlling the lifting dissection table, this application provides a method and system for controlling the operation of the lifting dissection table.

[0007] According to a first aspect of the embodiments of this application, a method for controlling the operation of a lifting dissection table is provided, comprising: acquiring operation habit information of a target user currently operating the lifting dissection table, and determining a target user type corresponding to the target user from multiple user types based on the operation habit information; the multiple user types are obtained by pre-classifying multiple designated users of the lifting dissection table; in response to recognizing a preset gesture of the target user, determining a target control command based on the preset gesture and a first preset correspondence relationship; the first preset correspondence relationship is used to characterize the relationship between different preset gestures and different control commands; determining a target response amplitude corresponding to the target user type based on the target control command, the target user type, and a second preset correspondence relationship; the second preset correspondence relationship is used to characterize the relationship between the control command and the user type and the preset response amplitude; and controlling the lifting dissection table to adjust the target posture information indicated by the target control command according to the target response amplitude and the adjustment direction indicated by the target control command.

[0008] In this way, users can adjust the posture information of the lifting dissection table according to their own habits through gestures, ensuring the portability and efficiency of controlling the lifting dissection table.

[0009] Optionally, in response to recognizing a preset gesture of a target user, a target control command is determined based on the preset gesture and a first preset correspondence, including: in response to recognizing a preset gesture of a target user, determining the amplitude and speed information of the preset gesture of the target user at the current moment; obtaining the amplitude threshold and speed threshold corresponding to the target user; and generating a target control command based on the preset gesture and the first preset correspondence when the amplitude information meets the amplitude threshold and the speed information meets the speed threshold.

[0010] Optionally, the target posture information includes at least one of the following: the height information of the dissection platform in the lifting dissection table; the horizontal position information of the dissection platform relative to the base of the lifting dissection table; and the angle between the plane where the dissection platform is located and the direction of the short side of the lifting dissection table.

[0011] Optionally, the target user's operating habit information is determined in the following ways: obtaining the target user's historical gesture amplitude and historical gesture speed information when adjusting the posture information of the lifting dissection table at historical moments; and determining the target user's operating habit information based on the target user's historical gesture amplitude and historical gesture speed information at multiple historical moments.

[0012] Optionally, the control of the lifting dissection platform to adjust the target attitude information indicated by the target control command includes: acquiring the weight information of the object currently carried by the lifting dissection platform, and acquiring the initial PID control parameters when the lifting dissection platform adjusts the attitude information under no-load conditions; adjusting the initial PID control parameters according to the target response amplitude, target attitude information, adjustment direction, and weight information to obtain target PID control parameters, so as to adjust the target attitude information of the dissection platform of the lifting dissection platform according to the target PID control parameters.

[0013] In this way, the posture information of the lifting dissection table can be adjusted according to the weight information of the object carried by the lifting dissection table, ensuring the stability of the posture information adjustment process.

[0014] Optionally, the method further includes: determining the first motion amplitude information and the first motion speed information of the preset gesture of the target user within the current time period, and determining the second motion amplitude information and the second motion speed information of the historical gesture used to control the target posture information as represented by the operation habit information; determining the operation habit change value based on the difference between the first motion amplitude information and the second motion amplitude information, and the difference between the first motion speed information and the second motion speed information; and prompting whether to update the operation habit information of the target user based on the operation habit change value.

[0015] In this way, users can decide whether to update their operating habits based on their actual needs.

[0016] Optionally, after receiving the preset gesture from the target user, the method further includes: receiving audio information from the target user, and outputting a second prompt message if the result of content recognition of the audio information includes a preset exclamation keyword; the second prompt message is used to prompt the target user whether to cancel the control command of the preset gesture; in response to receiving a confirmation cancellation operation for the second prompt message, discarding the control command corresponding to the preset gesture received from the target user.

[0017] In this way, if a user makes a mistake with their gesture, the operation can be undone, preventing the damage caused by the erroneous operation from escalating.

[0018] Optionally, if the result of the content recognition of the audio information includes preset exclamation keywords, the method further includes: using animation to demonstrate the relationship between different preset gestures and different control commands according to the order of different preset gestures.

[0019] This helps users better remember the relationship between different preset gestures and different control commands, ensuring the accuracy of the user's operation of the lifting dissection table in subsequent processes.

[0020] Optionally, the method further includes: in response to receiving a voice control command for the lifting dissection table, determining permission information based on the voiceprint characteristics of the voice control command, and determining whether to discard the voice control command or execute the voice control command based on the permission information.

[0021] According to a second aspect of the present application, a lifting dissection table operation control system is provided, comprising: a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions, when executed by the processor, implement the steps of the lifting dissection table operation control method provided in the first aspect of the present application.

[0022] The technical solutions provided by the embodiments of this application may include the following beneficial effects: acquiring the operating habit information of the target user currently operating the lifting dissection table, and determining the target user type based on the operating habit information; responding to the recognition of the target user's preset gesture, determining the target control command based on the preset gesture and a first preset correspondence, enabling the input of control commands without contacting the table surface of the lifting dissection table, facilitating the target user to adjust the posture information of the lifting dissection table; determining the target response amplitude corresponding to the target user type based on the target control command, the target user type, and a second preset correspondence; the target user can more easily adjust the posture information of the lifting dissection table, improving the efficiency of adjusting the posture information of the lifting dissection table and the operating experience.

[0023] User type is obtained by pre-classifying multiple designated users of the lifting dissection table. This allows for the determination of a consistent response amplitude for users with the same operating habits, and different response amplitudes for different user types. This satisfies the different response amplitude adjustment needs of different user types, while ensuring that the response amplitude matches the normal operation of the lifting dissection table by users of the same user type. It avoids extreme response amplitude adjustments by the lifting dissection table and extends its service life.

[0024] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating a method for controlling the operation of a lifting dissection table according to an exemplary embodiment; Figure 2 This is a schematic diagram of the structure of a lifting dissection table operation control system according to an exemplary embodiment. Detailed Implementation

[0026] First, a brief introduction to the application scenarios of the embodiments of this application will be given. In the application scenarios of this application, the height of the lifting dissection table can be adjusted by operating the joystick or operation interface of the lifting dissection table, or by sending a wireless control signal to the lifting dissection table via a remote control. However, during the operation of the lifting dissection table, the operator's hands may be contaminated with blood or disinfectant, causing contamination of the joystick or operation interface. Therefore, it is necessary to improve the adjustment method of the lifting dissection table.

[0027] It should be noted that all actions involving the acquisition of signals, information, or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where the application is located, and with the authorization granted by the owner of the relevant device.

[0028] To address the aforementioned technical problems, embodiments of this application provide a method and system for controlling the operation of a lifting dissection table. Figure 1 This is a flowchart illustrating a method for controlling the operation of a lifting dissection table according to an exemplary embodiment, such as... Figure 1 As shown, the method includes the following steps.

[0029] In step S101, the operating habit information of the target user currently operating the lifting dissection table is obtained, and the target user type corresponding to the target user is determined from multiple user types based on the operating habit information.

[0030] Multiple user types are obtained by pre-classifying multiple designated users of the lifting dissection table; for the same type of lifting dissection table, different users may have different operating habits; or, users in different operating scenarios may have different operating requirements for the lifting dissection table. Therefore, multiple designated users of the lifting dissection table can be pre-classified so that the control process of the lifting dissection table can match different usage requirements.

[0031] Users who perform gestures at different speeds and with different ranges of motion typically have different usage scenarios for the lifting dissection table, or users who perform gestures at different speeds and with different ranges of motion have different usage habits for the lifting dissection table.

[0032] The different uses of the lifting dissection table include conducting anatomical experiments, anatomical research, or anatomical teaching; users of different ages or with different levels of anatomical proficiency also have different habits of using the lifting dissection table.

[0033] Based on the speed and amplitude of the gestures performed by a specified user when adjusting the height of the dissection platform of the lifting dissection table, the specified users of the lifting dissection table can be pre-classified according to the speed and amplitude of the gestures performed, and the classification results of multiple specified users can be obtained.

[0034] For example, a behavioral feature vector of a specified user can be constructed based on the speed and amplitude of the gesture. The behavioral feature vector uses the normalized result of the user's speed and amplitude as elements to achieve dimensionless processing of the two variables with different units, namely speed and amplitude.

[0035] The behavior feature vectors of different specified users can be clustered. Since the clustering algorithm can cluster similar behavior feature vectors into the same cluster, and the behavior feature vector can describe the habits of a specified user when performing a specified gesture, the same cluster in the multiple clusters obtained includes multiple specified users with similar gestures; different clusters correspond to different user types.

[0036] Clustering of behavioral feature vectors of different specified users can be achieved using clustering algorithms or models such as k-means algorithm, hierarchical clustering algorithm and support vector machine. For details, refer to the existing technology for the clustering process of vectors. The embodiments of this application will not be described in detail here.

[0037] In one embodiment, the target user's operating habit information is determined by: acquiring the target user's historical gesture amplitude and historical gesture speed information when adjusting the posture information of the lifting dissection table at historical moments; and determining the target user's operating habit information based on the target user's historical gesture amplitude and historical gesture speed information at multiple historical moments.

[0038] When the target user operates the lifting dissection table for the first time, the system can prompt the target user about the correspondence between different gestures and different control commands, and output guidance information to the target user so that the target user can learn the correspondence between different gestures and different control commands.

[0039] Once the target user has learned the correspondence between different gestures and different control commands, the system can prompt the target user to make different gestures, thereby obtaining historical motion amplitude and speed information of the target user's gestures when adjusting the posture information of the lifting dissection table at historical moments.

[0040] Once the target user's operating habits are determined, the lifting dissection table can use sensors such as image sensors, fingerprint acquisition modules, audio acquisition modules, and RFID (Radio Frequency Identification) modules to acquire the target user's identification information and bind the target user's identification information with the target user's operating habits information so that the target user's operating habits information can be called in the future.

[0041] Normalized historical action amplitude information and historical action speed information can be used as elements to construct the target user's historical behavior feature vector. Based on the average or mode of the target user's historical behavior feature vector at different historical moments, the target user's operating habit information can be determined.

[0042] Normalization of historical motion amplitude and speed information can be achieved using normalization functions such as min-max normalization, logarithmic transformation, arctangent function, and sigmoid function.

[0043] Before the target user adjusts the posture information of the lifting dissection table, the lifting dissection table can acquire the target user's identification information through sensors such as image sensors, fingerprint acquisition modules, audio acquisition modules, and RFID identification modules, and retrieve the corresponding pre-stored operation habit information from the memory to realize the recall of the target user's operation habit information.

[0044] In step S102, in response to recognizing the preset gesture of the target user, a target control command is determined based on the preset gesture and the first preset correspondence.

[0045] Image acquisition devices can be installed on the lifting dissection table, on the wall above the lifting dissection table, or in other locations besides the lifting dissection table; the image data acquired by the image sensor can be used to recognize the gestures of the target user.

[0046] Recognizing a target user's gestures using image data acquired by an image sensor can include: determining key points such as the fingertips, knuckles, and palm of the target user's hand using the image data acquired by the image sensor; determining the target user's gestures based on the relative positions of these key points at different times; specific details can be found in existing technologies related to gesture recognition, and will not be repeated here.

[0047] The lifting dissection table can be equipped with a height adjustment component, a horizontal adjustment component, and an angle adjustment component. The height adjustment component can consist of a first motor, a threaded rod, a telescopic frame, and a support rod. The first motor is connected to the threaded rod via gears or belts. The upper end of the telescopic frame is connected to the dissection platform to achieve height adjustment of the dissection platform of the lifting dissection table. The support rod cooperates with the threaded rod or the telescopic frame to ensure that the dissection platform remains stable during adjustment.

[0048] The horizontal adjustment component can be achieved by the movement of the sliding seat on the guide rail. A second motor or hydraulic device or other power device provides thrust to move the dissection platform in the horizontal direction. The sliding seat is set on the guide rail of the base. The power device can drive the sliding seat to move along the guide rail through gears or chains, thereby adjusting the horizontal position of the dissection platform. The sliding seat and the dissection platform are fixed by a connector to ensure the stability of the lifting dissection table during horizontal movement.

[0049] The angle adjustment assembly may include a rotating shaft, a gear set, and a third motor; the third motor transmits rotational force through the gear set, causing the dissection platform to rotate around a specific axis; the rotating shaft may be fixedly connected to the dissection platform and installed below the dissection platform; the rotating shaft may also be equipped with a locking device to ensure the stability of the dissection platform after angle adjustment.

[0050] The target user's gestures can include the user's palm being placed horizontally and moving vertically downwards or upwards, the palm being placed vertically and moving horizontally, and the palm rotating along the wrist or elbow.

[0051] For example, the target user can control the lowering of the dissection platform of the lifting dissection table by placing their palm horizontally and moving it vertically downwards; the target user can control the raising of the dissection platform of the lifting dissection table by placing their palm horizontally and moving it vertically upwards.

[0052] The target user can control the dissection platform of the lifting dissection table to move in the corresponding horizontal direction by placing the palm vertically and moving it in the horizontal direction; the target user can control the lifting dissection table to rotate in a specified direction by rotating the palm along the wrist or elbow, so as to adjust the angle of the dissection platform of the lifting dissection table.

[0053] The first preset correspondence is used to characterize the relationship between different preset gestures and different control commands; the memory of the lifting dissection table can be pre-configured with the relationship between different preset gestures and different control commands.

[0054] For example, a user's hand gesture of placing the palm horizontally and moving it vertically downwards can be used as a control command to lower the height of the dissection table; a user's hand gesture of placing the palm horizontally and moving it vertically upwards can be used as a control command to raise the height of the dissection table.

[0055] A hand gesture where the user places their palm vertically and moves it horizontally can be used to control the movement of the dissection platform, which controls the lifting and lowering of the dissection table, in the corresponding horizontal direction; a hand gesture where the palm rotates along the wrist or elbow can be used to control the rotation of the lifting and lowering dissection table in a specified direction.

[0056] By recognizing the user's gestures and establishing a pre-defined correspondence, the user can input control commands corresponding to the gestures, thus achieving contactless input of control commands for the lifting dissection table.

[0057] In one embodiment, the target posture information includes at least one of the following: the height information of the dissection platform in the lifting dissection table; the horizontal position information of the dissection platform relative to the base of the lifting dissection table; and the angle between the plane where the dissection platform is located and the direction of the short side of the lifting dissection table.

[0058] Different gestures correspond to different control commands, and different control commands can adjust different posture information. Different posture information can include the vertical position, horizontal position, and pitch angle of the dissection platform of the lifting dissection table, which can realize more flexible control of the lifting dissection table, so that the lifting dissection table can adapt to different user needs or actual use scenarios.

[0059] When using the lifting dissection table, users can adjust the dissection platform of the lifting dissection table in at least one of the following posture information, such as vertical position, horizontal position, and pitch angle, according to their own needs. This reduces the number of times users need to bend over, thereby improving the user's operating experience when using the lifting dissection table.

[0060] In one embodiment, in response to recognizing a preset gesture of a target user, determining a target control command based on the preset gesture and a first preset correspondence includes: in response to recognizing a preset gesture of a target user, determining the amplitude and speed information of the preset gesture of the target user at the current moment; obtaining the amplitude threshold and speed threshold corresponding to the target user; and generating a target control command based on the preset gesture and the first preset correspondence when the amplitude information meets the amplitude threshold and the speed information meets the speed threshold.

[0061] When different users adjust the posture information of the lifting dissection table through gestures, they have different operating habits in terms of the range or speed of the movements. In order to ensure that the lifting dissection table can recognize the user's actual gestures according to their expectations, the target user's corresponding movement range threshold and movement speed threshold can be obtained. When the target user's actual movement range and actual movement speed meet the corresponding thresholds, the control command for the lifting dissection table can be generated.

[0062] When the actual range and speed of the target user's movements do not meet the corresponding thresholds, the generation of control commands for the lifting dissection table can be omitted to avoid the lifting dissection table making erroneous responses to gestures unrelated to posture information adjustment.

[0063] The action amplitude threshold and action speed threshold corresponding to the target user can be determined based on the target user type and the third preset correspondence; the third preset correspondence is used to characterize the relationship between the action amplitude threshold and the action speed threshold and the user type.

[0064] Different user types exhibit variations in the amplitude and speed of their hand gestures when controlling the posture information of the lifting dissection table. By considering the average amplitude of hand gestures performed by users of the same user type, a corresponding amplitude threshold can be determined for each user type, ensuring that the amplitude threshold meets the control requirements of users of the same user type for the lifting dissection table.

[0065] For example, it can be The action amplitude threshold corresponding to users of the same user type; where... This represents the average range of actions taken by users of the same user type. The standard deviation of the action range for users of the same user type.

[0066] For users who are accustomed to using larger gestures, a higher gesture amplitude threshold can be set; or for users who are accustomed to using smaller gestures, a lower gesture amplitude threshold can be set. This ensures that valid gestures whose actual gesture amplitude meets the gesture amplitude threshold can be correctly recognized, and avoids recognizing invalid gestures whose actual gesture amplitude does not meet the gesture amplitude threshold.

[0067] The action range threshold for a user is determined based on the user type, so that the same user type includes a larger number of users. By using the action range of a larger number of users, a more reasonable action range threshold for the user type can be determined.

[0068] The average movement speed of users of the same user type when performing gestures can be used to determine the corresponding movement amplitude threshold for each user type, so that the movement speed threshold can meet the control requirements of users of the same user type for the lifting dissection table.

[0069] For example, it can be The action speed threshold corresponding to users of the same user type; where... This represents the average action speed for users of the same user type. The standard deviation of action speed for users of the same user type.

[0070] For users who are accustomed to using faster movement speeds, a higher movement speed threshold can be set; or for users who are accustomed to using slower movement speeds, a lower movement speed threshold can be set. This ensures that valid gestures whose actual movement speed meets the threshold can be correctly recognized, and avoids recognizing invalid gestures whose actual movement speed does not meet the threshold.

[0071] The action speed threshold for a user is determined based on the user type, so that the same user type includes a larger number of users. By using the action speed of a larger number of users, a more reasonable action speed threshold for the user type can be determined.

[0072] In one embodiment, after receiving a preset gesture from a target user, the method further includes: receiving audio information from the target user, and outputting a second prompt message if the result of content recognition of the audio information includes a preset exclamation keyword; the second prompt message is used to prompt the target user whether to cancel the control command of the preset gesture; in response to receiving a confirmation cancellation operation for the second prompt message, discarding the control command corresponding to the preset gesture received from the target user.

[0073] Audio acquisition devices can be set up on the lifting dissection table or in the environment where the lifting dissection table is located to receive the user's audio information. After receiving the user's preset gesture, the lifting dissection table will adjust its posture information according to the control command corresponding to the preset gesture.

[0074] When a user performs a preset gesture, there may be a discrepancy between the gesture they expect to perform and the gesture they actually perform; for example, a user may expect to perform a gesture to adjust the height of a lifting dissection table, but actually perform a gesture to adjust the horizontal position of the lifting dissection table.

[0075] After the lifting dissection table responds to the user's actual gestures, if the adjustments actually made by the lifting dissection table to the posture information are inconsistent with the adjustments the user expects to make to the posture information, the user will usually make a sound containing exclamation keywords.

[0076] For example, if a user expects to perform a gesture to adjust the height of the lifting dissection table, but actually performs a gesture to adjust the horizontal position of the lifting dissection table, the lifting dissection table will actually adjust its horizontal position; the user may say audio messages containing exclamation keywords such as "Oops, wrong" or "No, it should be raised."

[0077] It can receive audio information from the target user and perform content recognition on the received audio information. If the content recognition result includes preset exclamation keywords, it can output a second prompt message to prompt the target user whether to cancel the preset gesture control command. The exclamation keywords can be, for example, keywords such as "Oops," "Wrong," and "Incorrect," which indicate that the actual gesture performed is inconsistent with the expected gesture.

[0078] If the result of the audio information content recognition includes preset exclamation keywords, a second prompt message can be displayed on the screen set on the lifting dissection table; for example, the screen can display a prompt message that reads "Do you want to cancel the adjustment operation that the lifting device just performed on the posture information?"

[0079] Alternatively, if the result of the content recognition of the audio information includes preset exclamation keywords, the lifting dissection table can output a second prompt message in the form of audio through the set audio playback device. For example, it can output an audio prompt message with the content "Do you want to cancel the adjustment operation that the lifting device just performed on the posture information?"

[0080] Users can perform the gesture corresponding to the confirmation / cancellation operation to confirm or cancel the second prompt message, or confirm not to cancel; for example, the second prompt message may include prompts for the gestures corresponding to the confirmation / cancellation operation and the confirmation not to cancel.

[0081] The second prompt message may also prompt the first gesture corresponding to confirming the cancellation operation and the second gesture corresponding to confirming that the cancellation operation is not performed; the first gesture may be waving with a fist; the second gesture may be waving with the palm open.

[0082] For example, the second prompt message could be: "Do you want to cancel the adjustment operation that the lifting device just performed on the posture information? If you want to cancel, please make a fist gesture towards the camera; if you don't want to cancel, please open your palm and wave towards the camera."

[0083] In one possible implementation, the user can also perform a confirmation or cancellation operation on the second prompt information via a voice command used to confirm or cancel the operation; for example, after the lifting dissection platform outputs the second prompt information, the user can speak a voice command containing the content "confirm or cancel control command" to make the lifting dissection platform receive the confirmation or cancellation operation on the second prompt information, so that the lifting dissection platform discards the control command corresponding to the preset gesture received from the target user.

[0084] If the result of the audio information content recognition includes preset exclamation keywords, a second prompt message is output. In response to receiving a confirmation or cancellation operation for the second prompt message, the system can realize the control command corresponding to the preset gesture received from the target user. This allows the system to cancel the adjustment of the posture information of the lifting dissection table if the user performs an incorrect gesture operation. Moreover, the cancellation operation is performed after receiving the user's confirmation or cancellation operation for the second prompt message. The user can choose whether to cancel the adjustment process of the posture information of the lifting dissection table according to actual needs.

[0085] In response to receiving a confirmation / cancellation operation for the second prompt information, discarding the control command corresponding to the preset gesture received from the target user may include: in response to receiving a confirmation / cancellation operation for the second prompt information, discarding the control command corresponding to the preset gesture received from the target user from the storage space of the memory of the lifting dissection table, and adjusting the posture information of the lifting dissection table to the initial posture it was in before receiving the control command corresponding to the preset gesture received from the target user.

[0086] In one embodiment, if the result of content recognition of audio information includes preset exclamation keywords, the relationship between different preset gestures and different control commands can be displayed using animation according to the order of different preset gestures.

[0087] When the content recognition results of the audio information include preset exclamation keywords, it indicates that the adjustment that the user expects to perform on the posture information of the lifting dissection table is inconsistent with the actual adjustment performed on the posture information of the lifting dissection table. Furthermore, since there is a correspondence between the adjustment of posture information and the user's gestures, the inconsistency between the expected adjustment and the actual adjustment on the posture information of the lifting dissection table is caused by the inconsistency between the gestures corresponding to the user's expected adjustment and the gestures actually performed by the user.

[0088] When the gestures a user expects to make to adjust the lifting dissection table are inconsistent with the gestures the user actually makes, it is highly likely that the user has forgotten the correspondence between different gestures and different control commands. In order to help users review the correspondence between different gestures and different control commands, the relationship between different preset gestures and different control commands can be displayed using animation according to the order of different preset gestures.

[0089] Using animation to demonstrate the relationship between different preset gestures and different control commands can deepen users' understanding of the relationship between different preset gestures and different control commands. This helps to prevent users from making the actual gestures consistent with the expected adjustments to the lifting dissection table during subsequent operations, thereby improving the user's operating efficiency of the lifting dissection table in subsequent processes.

[0090] In step S103, the target response amplitude corresponding to the target user type is determined based on the target control command, the target user type, and the second preset correspondence.

[0091] The second correspondence is used to characterize the relationship between the control command and the user type and the preset response amplitude; users of different user types have different operating needs or habits for the lifting dissection table.

[0092] For example, some users may be accustomed to making larger adjustments to the posture information of the lifting dissection table each time, and the gestures or speeds are greater when adjusting the posture information of the lifting dissection table; other users may be accustomed to making smaller adjustments to the posture information of the lifting dissection table each time, and the gestures or speeds are smaller when adjusting the posture information of the lifting dissection table.

[0093] Alternatively, users of the same user type may have different adjustment ranges when adjusting different posture information of the lifting dissection table, and different control commands may be used to adjust different posture information of the lifting dissection table. Therefore, the corresponding response range can be determined in advance based on the different control commands from users of different user types to construct a second preset correspondence.

[0094] For example, the response amplitude corresponding to the same user type and the same control command can be determined based on the average historical amplitude of all users of the same user type when performing a single adjustment of the attitude information corresponding to the control command.

[0095] Based on the target control command, the target user type, and the second preset correspondence, the target response amplitude corresponding to the target user type is determined. Different response amplitudes can be assigned to different user types or different control commands, which can improve the pertinence of the response amplitude for different user types or different control commands. Since different control commands are used to adjust different posture information of the lifting dissection table, when the user adjusts the posture information of the lifting dissection table, the user can control the posture information of the lifting dissection table to make a matching adjustment amplitude.

[0096] Here, since the target response amplitude corresponding to the target user type is determined based on the target control command and the target user type, compared to directly determining it based on the historical adjustment amplitude of the target user's attitude information of the lifting dissection table in a historical time period, there are more users of the same user type, resulting in a larger sample size of the historical adjustment amplitude of users of the same user type. Using the historical adjustment amplitude with a larger sample size, a more reasonable response amplitude can be determined, so that the lifting dissection table can perform corresponding adjustments to the attitude information, thereby improving the service life of the adjustment components of the lifting dissection table.

[0097] In step S104, the lifting dissection table is controlled to adjust the target attitude information indicated by the target control command according to the target response amplitude and the adjustment direction indicated by the target control command.

[0098] Target control commands typically carry information about the attitude to be adjusted and the direction of adjustment; for example, a target control command may indicate that the height of the dissection platform of the lifting dissection table is adjusted vertically upward; or, a control command may indicate that the horizontal position of the dissection platform of the lifting dissection table is adjusted along the inside of the lifting dissection table.

[0099] Given that the target posture information, adjustment direction, and adjustment range have been determined, the lifting dissection table can be controlled to adjust the target posture information; the target user can adjust the target posture information of the lifting dissection table by performing multiple gestures.

[0100] In this embodiment, the response amplitude when adjusting the posture information can be determined according to the different users' adjustment habits of different posture information, so as to control the posture information of the lifting dissection table to be adjusted according to the response amplitude, and enable users with different adjustment habits of the posture information of the lifting dissection table to match the corresponding operating habits.

[0101] For example, users who are accustomed to adjusting the posture information of the lifting dissection table with a larger response amplitude can control the lifting dissection table to the desired position or angle with fewer operations; users who are accustomed to adjusting the posture information of the lifting dissection table with a smaller response amplitude can make more precise adjustments to the lifting dissection table, making it easier for users to perform more detailed operations on the objects on the lifting dissection table.

[0102] In one embodiment, controlling the lifting dissection platform to adjust the target attitude information indicated by the target control command includes: acquiring the weight information of the object currently carried by the lifting dissection platform, and acquiring the initial PID control parameters when the lifting dissection platform adjusts the attitude information under no-load conditions; adjusting the initial PID control parameters according to the target response amplitude, target attitude information, adjustment direction, and weight information to obtain target PID control parameters, so as to adjust the target attitude information of the dissection platform of the lifting dissection platform according to the target PID control parameters.

[0103] A PID (Proportional-Integral-Derivative) controller is a type of feedback loop controller. By adjusting the specific values ​​of the three PID parameters—proportional, integral, and derivative—the PID controller controls the controlled variable.

[0104] The proportional parameter, also known as the P parameter, determines the controller's response to the magnitude of the current error. When there is a deviation between the current value and the target value of the controlled variable, the proportional parameter affects the controller's output to reduce the deviation between the current and target values. The larger the proportional parameter, the greater the controller's response to the deviation of the controlled variable, meaning a larger adjustment to the controlled variable. The proportional parameter can be the adjustment ratio of the variable controlled by the PID controller.

[0105] The integral parameter, also known as the I parameter, is used to adjust the accumulated amount of historical error. Increasing the value of the integral parameter reduces the steady-state error of the object controlled by the PID controller (e.g., water supply equipment). However, excessively large integral parameters may slow down the response speed of the object controlled by the PID controller. The derivative parameter, also known as the D parameter, is used to adjust the target variable of the object controlled by the PID controller based on the rate of change of error. The derivative parameter can also predict the trend of error.

[0106] The derivative parameter can be, for example, the derivative time, and the integral parameter can be, the integral time. When the derivative time or integral time is set appropriately, the stability and response speed of the object controlled by the PID controller can be improved. For example, the object controlled by the PID controller can respond quickly when there is a disturbance and remain stable when there is no disturbance.

[0107] Pressure sensors can be installed on the lifting dissection table to obtain weight information of the object carried by the lifting dissection table; the object carried by the lifting dissection table can be, for example, a human or other animal sample.

[0108] When adjusting the posture information of the dissection table, the weight information of the object carried on the dissection table may vary. Based on the target response amplitude, target posture information, adjustment direction, and weight information, the initial PID control parameters are adjusted to obtain the target PID control parameters. This allows the adjusted target PID control parameters to match different weight information, ensuring that the lifting dissection table carrying objects of different weights remains stable when adjusting the posture information.

[0109] The greater the weight of the object carried by the lifting dissection table, the larger the proportional parameter can be set to ensure the effective response of the lifting dissection table, and the differential parameter can be increased to suppress the oscillation that may occur during the adjustment of attitude information; for details, refer to the adjustment process of PID parameters in the prior art, which will not be repeated here in the embodiments of this application.

[0110] In one embodiment, the first amplitude information and the first speed information of a preset gesture of the target user within the current time period can be determined, and the second amplitude information and the second speed information of a historical gesture used to control the target posture information represented by the operation habit information can be determined; based on the difference between the first amplitude information and the second amplitude information, and the difference between the first speed information and the second speed information, an operation habit change value can be determined; based on the operation habit change value, a prompt can be made to indicate whether to update the operation habit information of the target user.

[0111] The difference between the first motion amplitude information and the second motion amplitude information can be used as the first difference value, and the difference between the first motion speed information and the second motion speed information can be used as the second difference value; the first difference value and the second difference value can be normalized; the change value of operating habits can be equal to the average of the first difference value and the second difference value.

[0112] The change value of operating habits can characterize the target user's habits in terms of movement amplitude and speed in the current time period, and the degree of difference between the user's habits in terms of movement amplitude and speed in the historical time period. If there is a large difference between the user's operating habits in the current time period and the operating habits in the historical time period, it may be that the user's own habits have changed, and it can prompt whether to update the target user's operating habit information.

[0113] For example, if the change value of operating habits is greater than or equal to the preset difference threshold, it indicates that there is a significant difference between the user's operating habits in the current time period and their operating habits in the historical time period. The system can then prompt the user to update their operating habit information. When the user confirms that their operating habit information has been updated, the system can use the user's action range and speed in the current time period to update the user's operating habit information.

[0114] If the change in operating habits is less than the preset difference threshold, it means that the user's operating habits in the current time period are similar to those in the historical time period, and the operating habit information determined in the historical time period can continue to be used.

[0115] The preset difference threshold can be set according to actual needs. For example, the preset difference threshold can be between 0.3 and 0.5 above the upper limit of the change value of operating habits.

[0116] Here, the prompt based on the change in operating habits indicates whether to update the target user's operating habit information. This helps avoid updating the operating habit information when the user's operating habits change accidentally, and it also helps to update the operating habit information when the user's operating habits change, so that the response of the lifting and lowering dissection table is more in line with the user's operating habits in subsequent operations.

[0117] In one embodiment, in response to receiving a voice control command for the lifting dissection table, permission information can be determined based on the voiceprint characteristics of the voice control command, and the voice control command can be discarded or executed based on the permission information.

[0118] Based on the received voice control commands, the lifting dissection table can adjust its own posture information, achieving contactless adjustment of the lifting dissection table's posture information; corresponding permission information can be pre-configured for personnel with different voiceprint characteristics; permission information can indicate whether the user has operating authority over the lifting dissection table; or, permission information can further indicate the specific control commands that the user has operating authority over the lifting dissection table.

[0119] For example, users can send voice control commands to the lifting dissection table. For users with operating permissions for the lifting dissection table, the lifting dissection table can execute the voice control commands sent by the user to adjust the posture information of the lifting dissection table.

[0120] For users who do not have operating permissions for the lifting dissection table, the lifting dissection table can discard the voice control commands sent by the user, so as to prevent the posture information of the lifting dissection table from being adjusted by unauthorized personnel and ensure the stability of the posture information of the lifting dissection table.

[0121] For example, the posture information of the lifting dissection table may include the height, horizontal position, and pitch angle of the dissection platform. When determining the user's specific permission to adjust the height of the dissection platform based on the voiceprint characteristics of the received voice command, the user can adjust the height of the dissection platform of the lifting dissection table through voice control commands.

[0122] When the user's permission to adjust the horizontal position of the dissection platform is determined based on the voiceprint characteristics of the received voice commands, the user will not be able to adjust the height of the dissection platform of the lifting dissection table through voice control commands, thus ensuring the stability and safety of the lifting dissection table.

[0123] Figure 2 This is a schematic diagram illustrating the structure of a lifting dissection table operation control system 1000 according to an exemplary embodiment. (Refer to...) Figure 2 The lifting dissection table operation control system 1000 includes a processor 1100 and a memory 1200. The memory 1200 stores computer program instructions, which, when executed by the processor 1100, implement all or part of the steps of the lifting dissection table operation control method in this application.

[0124] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only.

[0125] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A method for controlling the operation of a lifting dissection table, characterized in that, include: Obtain the operating habit information of the target user currently operating the lifting dissection table, and determine the target user type corresponding to the target user from multiple user types based on the operating habit information; Multiple user types are obtained by pre-classifying multiple designated users of the lifting dissection table; In response to recognizing a preset gesture of a target user, a target control command is determined based on the preset gesture and a first preset correspondence; the first preset correspondence is used to characterize the relationship between different preset gestures and different control commands. Based on the target control command, the target user type, and the second preset correspondence, determine the target response amplitude corresponding to the target user type; The second preset correspondence is used to characterize the relationship between the control command and the user type and the preset response amplitude; According to the target response amplitude and the adjustment direction indicated by the target control command, the lifting dissection table is controlled to adjust the target attitude information indicated by the target control command.

2. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, In response to recognizing a preset gesture of the target user, a target control command is determined based on the preset gesture and a first preset correspondence, including: In response to the recognition of the target user's preset gesture, the system confirms the amplitude and speed information of the target user's preset gesture at the current moment; Obtain the action amplitude threshold and action speed threshold corresponding to the target user. If the action amplitude information meets the action amplitude threshold and the action speed information meets the action speed threshold, generate the target control command according to the preset gesture and the first preset correspondence.

3. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, The target attitude information includes at least one of the following: The height information of the dissection platform in the lifting dissection table; The horizontal position information of the dissection platform relative to the base of the lifting dissection table; The angle between the plane on which the dissection platform is located and the direction of the short side of the lifting dissection table.

4. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, The target users' operating habits are determined in the following ways: Acquire historical motion amplitude and speed information of the target user's gestures when adjusting the posture information of the lifting dissection table at historical moments; Based on the target user's historical action amplitude and speed information at multiple historical moments, the target user's operating habits information is determined.

5. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, The control lift dissection platform adjusts the target attitude information indicated by the target control command, including: Obtain the weight information of the object currently being carried by the lifting dissection table, and obtain the initial PID control parameters when the lifting dissection table adjusts its posture information under no-load conditions; Based on the target response amplitude, target attitude information, adjustment direction, and weight information, the initial PID control parameters are adjusted to obtain target PID control parameters, so as to adjust the target attitude information of the dissection platform of the lifting dissection table according to the target PID control parameters.

6. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, The method further includes: Determine the first amplitude information and first speed information of the preset gesture of the target user in the current time period, and determine the second amplitude information and second speed information of the historical gesture used to control the target posture information represented by the operation habit information. Based on the differences between the first and second motion amplitude information, and the differences between the first and second motion speed information, the change value of the operating habit is determined; Based on changes in user habits, prompt whether to update the target user's user habit information.

7. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, After receiving the preset gesture from the target user, the method further includes: The system receives audio information from a target user and outputs a second prompt message if the content recognition result of the audio information includes a preset exclamation keyword. The second prompt message is used to prompt the target user whether to cancel the control command of the preset gesture. In response to receiving a confirmation / cancellation operation for the second prompt information, discard the control command corresponding to the preset gesture received from the target user.

8. The method for controlling the operation of a lifting dissection table according to claim 7, characterized in that, The method further includes outputting the results of audio information content recognition, which include preset exclamation keywords, and using animation to demonstrate the relationship between different preset gestures and different control commands according to the order of different preset gestures.

9. The method for controlling the operation of a lifting dissection table according to claim 1, characterized in that, The method further includes: In response to receiving a voice control command for the lifting dissection table, the system determines permission information based on the voiceprint characteristics of the voice control command, and determines whether to discard or execute the voice control command based on the permission information.

10. A lifting dissection table operation control system, characterized in that, include: A processor and a memory, the memory storing computer program instructions, which, when executed by the processor, implement the lifting dissection table operation control method according to any one of claims 1-9.

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