Intelligent factory information response method and device based on hardware feedback and storage medium

Abstract

The invention relates to the technical field of intelligent factories, and discloses an intelligent factory information response method and device based on hardware feedback and a storage medium, and the method comprises the steps: obtaining factory state data, identifying an information type, calculating hardware feedback data, endowing a hardware module with an information response value, and sorting the information response value; collecting behavior data, identifying pattern features, and calculating an association value of the pattern features and factory state data; selecting a hardware module from the hardware sequence according to a ratio of the association value to a preset association maximum value; selecting a reference value according to the information type, if the correlation value exceeds the reference value, generating a hardware feedback instruction according to the difference between the correlation value and the reference value, controlling a hardware module, and determining the action range according to the difference. According to the method, precise information response of the intelligent factory based on hardware feedback is realized, and the operation efficiency and the intelligent level of the factory are effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of smart factories, and in particular to a smart factory information response method, device and storage medium based on hardware feedback. Background Art

[0002] With the rapid development of intelligent manufacturing, smart factories are placing higher demands on the accuracy and efficiency of hardware responses. However, current hardware response methods in smart factories are generally limited. Existing hardware responses are mostly limited to audio and visual alarms or simple vibrations. For example, when a device malfunctions, it only flashes a warning light and sounds a buzzer alarm, and when the production process is abnormal, it uses a weak vibration as a prompt. This single, extensive response method cannot provide differentiated feedback adapted to the diverse operating states of the factory, such as rest, production, out-of-stock, local failure, and major failure. Moreover, it lacks in-depth analysis and precise processing of different status information, making it difficult to adjust the response intensity and method according to the actual factory situation. It is difficult to meet the smart factory's demand for refined and intelligent hardware responses in information transmission, production scheduling, fault handling, and other links. Summary of the Invention

[0003] In order to optimize the effect of hardware response and achieve more refined hardware response, the present application provides a smart factory information response method, device and storage medium based on hardware feedback.

[0004] In a first aspect, the present application provides a smart factory information response method based on hardware feedback, which adopts the following technical solutions:

[0005] A smart factory information response method based on hardware feedback includes the following steps:

[0006] Get factory status data;

[0007] Identifying an information type of the factory status from the factory status data and calculating hardware feedback data based on the information type; assigning information response values ​​to a plurality of hardware modules based on the hardware feedback data, wherein the hardware modules are used to generate response feedback;

[0008] Sort the hardware modules according to the magnitude of the information response values ​​to obtain a hardware sequence;

[0009] collecting behavioral data and identifying pattern features from the behavioral data;

[0010] calculating a correlation value between the pattern feature and the plant status data;

[0011] selecting the hardware module corresponding to the sequence position from the hardware sequence according to the ratio of the correlation value to a preset correlation maximum value;

[0012] Selecting a corresponding reference value according to the information type;

[0013] If the associated value is greater than a preset reference value, generating a hardware feedback instruction according to the difference between the associated value and the reference value;

[0014] The hardware module is controlled, and the larger the difference is, the larger the amplitude of the action performed by the hardware module is, and the smaller the difference is, the smaller the amplitude of the action performed by the hardware module is.

[0015] By adopting the above technical solution, based on obtaining factory status data and identifying information types, hardware feedback data is calculated, providing an accurate initial basis for hardware response for different factory states such as rest, production, and failure. Information response values ​​are assigned to hardware modules and sorted, giving hardware responses priority and hierarchy. Behavioral data is collected and analyzed for its association with factory status data. Hardware modules are selected based on the degree of association, achieving dynamic adaptation of hardware responses and ensuring that feedback meets actual needs. Feedback instructions are generated based on the difference between the associated value and the reference value, and the hardware action amplitude is associated with it, achieving quantitative adjustment of the response intensity and providing feedback of varying strengths based on the urgency or importance of the state. This changes the traditional single and extensive hardware response model, achieving refined feedback on the diverse factory states, and improving the accuracy and efficiency of information transmission.

[0016] Optionally, the step of calculating the hardware feedback data according to the information type further includes the following sub-steps:

[0017] Presetting parameters of the hardware feedback data, the parameters including a sensory travel value and a sensory intensity value;

[0018] Identify the work priority and work scheduling amount corresponding to the information type and the control item in the control hall;

[0019] Calculating a correlation value according to the work priority and the work scheduling amount, wherein the information type is positively correlated with the work priority and the work scheduling amount;

[0020] The sensory range is adjusted in positive correlation according to the correlation value, and the sensory intensity is adjusted in anti-correlation according to the correlation value.

[0021] By employing this technical solution, we identify the work priority and workload corresponding to each information type, calculate correlation values ​​accordingly, and establish a close connection between the factory's actual operating status and hardware feedback parameters. Positive correlation adjusts sensory range, ensuring that hardware feedback covers a wider range during critical factory conditions such as high-priority, high-volume production or troubleshooting, ensuring that important information is fully presented. Negative correlation adjusts sensory intensity to prevent overly strong feedback from causing interference or information overload to operators, ensuring both comfortable and effective feedback.

[0022] Optionally, the step of assigning information response values ​​to multiple hardware modules according to the hardware feedback data further includes the following sub-steps:

[0023] Obtaining the hardware travel and hardware strength of the hardware module;

[0024] Calculating a travel parameter based on the hardware travel and the sensory travel, and calculating an intensity parameter based on the hardware intensity and the sensory intensity;

[0025] An information response value is calculated according to the stroke parameter and the intensity parameter.

[0026] By adopting the above technical solution, the travel parameter reflects the degree of matching of the hardware module to the target feedback effect in the travel dimension, and the intensity parameter reflects its adaptability in the intensity dimension. The two are jointly calculated to obtain the information response value, so that the response capability of each hardware module can be objectively and comprehensively measured.

[0027] Optionally, the hardware module includes an information feedback device, a temperature feedback device, an odor feedback device, and a vibration feedback device; wherein the magnitude relationship of the hardware strokes is: the temperature feedback device > the odor feedback device > the vibration feedback device > the information feedback device; and the magnitude relationship of the hardware strengths is: the temperature feedback device > the vibration feedback device > the odor feedback device > the information feedback device.

[0028] The information feedback device is used to play pictures or sounds, the temperature feedback device is used to adjust the tactile temperature, the smell feedback device is used to release smells, and the vibration feedback device is used to generate vibrations.

[0029] By adopting the above technical solution, the hardware module is subdivided into information feedback device, temperature feedback device, odor feedback device and vibration feedback device, covering multiple sensory dimensions such as vision, hearing, touch and smell, greatly enriching the forms and channels of information transmission, and making the feedback of factory status information more three-dimensional and intuitive.

[0030] Optionally, the method further comprises the following steps:

[0031] The information feedback device plays a preset picture and sound in response to the hardware feedback instruction;

[0032] If the difference is within the first range, the image is played alone; if the difference is within the second range, the sound is played alone; if the difference is within the third range, the image and sound are played simultaneously; wherein the first range>the second range>the third range;

[0033] The execution time point of the playback of the information feedback device is adjusted according to the positive correlation of the travel parameter; the larger the travel parameter, the earlier the playback time point; the smaller the travel parameter, the later the playback time point;

[0034] The execution time of the playback of the information feedback device is adjusted according to the positive correlation of the intensity parameter; the greater the intensity parameter, the longer the playback time; the smaller the intensity parameter, the shorter the playback time.

[0035] By employing this technical solution, hardware feedback commands are followed, and the difference between the associated value and the reference value is carefully controlled to differentiate the visual and audio playback combination, achieving graded feedback intensity. Larger differences result in only visual playback, quickly conveying key information through concise and intuitive visual messaging. Moderate differences result in audio playback alone, drawing attention through auditory reminders. Smaller differences result in simultaneous playback of both visuals and audio, enhancing the effectiveness of multi-sensory information delivery. This allows feedback to highlight key points while avoiding excessive distractions. Furthermore, the timing and duration of playback are adjusted based on the travel and intensity parameters, effectively aligning hardware characteristics with factory state requirements. A higher travel parameter indicates greater hardware adaptability, enabling early playback to prioritize information delivery; a higher intensity parameter extends playback duration to ensure sufficient information reception. This precise control based on multi-dimensional parameters enables the feedback device to optimally respond to varying factory conditions, effectively improving the efficiency and quality of information delivery.

[0036] Optionally, the method further comprises the following steps:

[0037] The temperature feedback device adjusts the temperature of the gas or the temperature of the hardware in response to the hardware feedback instruction;

[0038] If the difference is within the fourth range, the gas temperature is adjusted alone; if the difference is within the fifth range, the hardware temperature is adjusted alone; if the difference is within the sixth range, the gas and hardware temperatures are adjusted simultaneously; wherein the fourth range > the fifth range > the sixth range;

[0039] The execution temperature of the hardware module is adjusted in a positive correlation with the stroke parameter; the larger the stroke parameter, the greater the change range of the adjustment execution temperature; and the smaller the stroke parameter, the smaller the change range of the adjustment execution temperature;

[0040] The execution flow rate of the hardware module is adjusted in a positive correlation with the intensity parameter; the larger the intensity parameter, the faster the execution flow rate; the smaller the intensity parameter, the slower the execution flow rate.

[0041] By employing this technical solution, the gas and hardware temperature adjustment methods are differentiated based on the difference between the associated value and the reference value, according to hardware feedback instructions. When the difference is large, the gas temperature is adjusted independently, conveying information through gentle, large-scale temperature changes. When the difference is moderate, the hardware temperature is adjusted independently, achieving localized, strong temperature feedback. When the difference is small, both gas and hardware temperatures are adjusted simultaneously. This multi-dimensional temperature variation enhances information perception, enabling temperature feedback to precisely match the appropriate adjustment strategy to different state requirements. By combining stroke and intensity parameters to control the execution temperature and flow rate, respectively, feedback accuracy is further enhanced. A larger stroke parameter results in a greater amplitude of execution temperature change, ensuring significant temperature changes attract attention during critical conditions. A higher intensity parameter results in a faster flow rate, accelerating the temperature adjustment process and enabling rapid information transmission. This multi-dimensional, dynamic temperature feedback control not only effectively utilizes temperature as a sensory dimension to enrich hardware response, but also precisely adjusts the intensity and speed of feedback based on factory conditions.

[0042] Optionally, the method further comprises the following steps:

[0043] The odor feedback device emits odor molecules in response to the hardware feedback instruction;

[0044] If the difference is within the seventh range, a single odor molecule is emitted; if the difference is within the eighth range, a combination of multiple odor molecules is emitted; wherein the seventh range is greater than the eighth range;

[0045] The execution channel of the hardware module is adjusted according to the positive correlation of the travel parameter; the larger the travel parameter, the more odor release channels are enabled; the smaller the travel parameter, the fewer odor release channels are enabled;

[0046] The execution intensity of the hardware module is adjusted according to the positive correlation of the intensity parameter; the larger the intensity parameter, the higher the odor concentration; the smaller the intensity parameter, the lower the odor concentration.

[0047] By adopting the above technical solution, based on the hardware feedback instructions, the release strategy of the odor molecules is differentiated according to the range of the difference between the associated value and the reference value. When the difference is large, only one odor molecule is emitted, and key information is transmitted with a concise and clear smell; when the difference is small, a combination of multiple odor molecules is released, and the information expression is enhanced through complex smells, meeting the information transmission needs in different scenarios and improving the pertinence of odor feedback. At the same time, the number of odor release channels and odor concentration are controlled respectively in combination with the stroke parameter and the intensity parameter, realizing precise quantitative adjustment of the feedback. The larger the stroke parameter, the more odor release channels are enabled, which allows the odor to spread faster and cover a wider area; the higher the intensity parameter, the greater the odor concentration, which enhances the perceived intensity of the odor.

[0048] Optionally, the method further comprises the following steps:

[0049] The vibration feedback device vibrates in response to the hardware feedback instruction;

[0050] If the vibration feedback device vibrates, the execution frequency of the hardware module is adjusted in a positive correlation with the stroke parameter; the larger the stroke parameter, the higher the vibration frequency; the smaller the stroke parameter, the lower the vibration frequency;

[0051] Adjusting the execution amplitude of the hardware module in a positive correlation with the intensity parameter; the greater the intensity parameter, the greater the vibration amplitude; the smaller the intensity parameter, the smaller the vibration amplitude;

[0052] If the vibration feedback device resonates, a sound wave of a corresponding resonance frequency is emitted to the vibration feedback device via the information feedback device.

[0053] By employing this technical solution, vibration is triggered based on hardware feedback commands, and the vibration frequency and amplitude are adjusted based on travel and intensity parameters, respectively, achieving quantitative control of vibration feedback. The travel parameter determines the vibration frequency, enabling high-frequency vibrations to quickly attract attention during critical factory conditions and low-frequency vibrations to provide gentle reminders during normal conditions. The intensity parameter controls the amplitude, adjusting the vibration intensity based on the importance of the information, ensuring that important information is effectively transmitted through strong vibrations. Furthermore, an innovative resonance mechanism is introduced. When the vibration feedback device resonates, it emits sound waves at the corresponding resonant frequency, deeply integrating the two feedback modes of vibration and sound, enhancing the synergistic and perceptual effects of feedback. The combination of diverse vibration carriers (seats, desktops, mobile devices, etc.), differentiated vibration parameter adjustments, and the innovative design of sound-vibration linkage not only expands the application scenarios of vibration feedback but also significantly improves the interactivity and accuracy of hardware responses, allowing users to intuitively perceive factory status changes through tactile perception. This brings a new experience to information feedback and interactive operations in smart factories, effectively improving the efficiency of information transmission and the timeliness of management decisions.

[0054] In a second aspect, the present application provides a smart factory information response device based on hardware feedback, which adopts the following technical solutions:

[0055] A smart factory information response device based on hardware feedback includes a processor, wherein the processor executes the steps of any one of the smart factory information response methods based on hardware feedback described above.

[0056] In a third aspect, the present application provides a storage medium that adopts the following technical solution:

[0057] A storage medium stores a program, which, when executed by a processor, implements the steps of any one of the above-mentioned smart factory information response methods based on hardware feedback.

[0058] In summary, this application includes at least one of the following beneficial technical effects:

[0059] Through multi-dimensional data fusion and dynamic regulation, a complete intelligent interactive closed loop from information recognition, user behavior analysis to hardware feedback is constructed, accurately matching the needs of different scenarios and improving the personalization and security of interaction; a dynamic adjustment mechanism for hardware feedback parameters based on information type, work priority and work scheduling volume realizes differentiated feedback strategies, balancing the effectiveness of information transmission and user comfort; a quantitative matching system for hardware module characteristics and system parameters ensures accurate resource scheduling and multi-hardware collaborative feedback, taking into account both resource optimization and experience upgrades; differential drive adjustment and parameter positive correlation control strategies designed for each hardware feedback device finely manage feedback time, intensity, mode and other factors, while innovatively solving the problem of vibration resonance, comprehensively enhancing the intelligence, reliability and user experience of the in-vehicle interactive system. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a step diagram of a smart factory information response method based on hardware feedback.

[0061] Figure 2 It is a diagram of steps for calculating hardware feedback data based on the information type.

[0062] Figure 3 This is a diagram of steps for assigning information response values ​​to multiple hardware modules based on the hardware feedback data. DETAILED DESCRIPTION

[0063] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings.

[0064] Throughout this specification, reference to the terms "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0065] The present application embodiment discloses a smart factory information response method based on hardware feedback, referring to Figure 1 , including the following steps:

[0066] Get factory status data;

[0067] Identify the information type of the factory status from the factory status data. The information type includes operation status information such as rest, production, out of stock, local failure, major failure, etc.

[0068] Calculate the hardware feedback data according to the information type; Figure 2 The calculation method for hardware feedback data includes the following sub-steps: presetting the parameters of the hardware feedback data, which include sensory range values ​​and sensory intensity values; the sensory range value defines the scope of the hardware feedback in the physical space. Different types of hardware modules, such as information feedback devices and temperature feedback devices, have different scopes; the sensory intensity value quantifies the physical intensity of the sensory stimulation, and has corresponding quantitative standards for different feedback types such as vision, hearing, and touch. Identify the work priority and work scheduling volume corresponding to the information type and the control hall control item; the work priority is divided into different levels from low to high, and the work scheduling volume is presented in the form of a percentage. The two are closely related to the information type. The mapping model established through machine learning training of historical data can accurately determine the priority and scheduling volume corresponding to each information type. For example, a major factory fault state corresponds to a high priority and a large scheduling volume, while a rest state corresponds to a low priority and a small scheduling volume. A correlation value is calculated based on work priority and work schedule volume. The priority and schedule volume are weighted and summed using the corresponding weight coefficients to obtain the correlation value. This correlation value is positively correlated with the information type, work priority, and work schedule volume, and its value directly influences the adjustment of subsequent hardware feedback parameters. Sensory range is positively correlated with the correlation value; a larger correlation value increases the range of hardware feedback, ensuring that important information is perceived over a larger area. Sensory intensity is inversely correlated with the correlation value; a larger correlation value decreases the intensity of sensory stimulation, thereby preventing overly strong feedback from causing discomfort to personnel.

[0069] According to the hardware feedback data, multiple hardware modules are assigned information response values, and the hardware modules are used to generate response feedback; Figure 3 Assigning an information response value specifically involves the following substeps: obtaining the hardware module's hardware travel and hardware strength. Hardware travel determines the physical range of the hardware feedback, such as the screen viewable area of ​​an information feedback device or the temperature control coverage of a temperature feedback device. Hardware strength quantifies the degree of sensory stimulation produced by the hardware, such as the screen brightness and sound loudness of an information feedback device or the temperature variation of a temperature feedback device. A travel parameter is calculated based on the hardware travel and sensory travel. The travel parameter reflects the degree to which the hardware module matches the target feedback effect in terms of travel. If the hardware travel and sensory travel are highly aligned, a high travel parameter indicates that the hardware better meets the feedback requirements in terms of spatial coverage; otherwise, a low travel parameter indicates that the spatial coverage is insufficient. An intensity parameter is calculated based on the hardware strength and sensory intensity. The intensity parameter reflects the hardware module's adaptability to the target feedback effect in terms of intensity. A higher intensity parameter indicates that the hardware better meets the expected sensory stimulation intensity. A weighted average algorithm is used to calculate the information response value based on the travel and intensity parameters. By integrating the hardware module's performance in these two key dimensions, travel and intensity, an objective and comprehensive assessment of each hardware module's responsiveness is provided.

[0070] The hardware modules include information feedback device, temperature feedback device, odor feedback device and vibration feedback device; the information feedback device serves as the basic display unit, which uses high-definition images and professional audio to play real-time visual information such as factory production processes and equipment operation data, and conveys key content in an intuitive audio-visual language; the temperature feedback device breaks the traditional single sensory feedback mode, and in scenarios such as simulating high-temperature production environments and equipment overheating warnings, it allows visitors to feel the factory operation status from a tactile level through precise temperature control; the odor feedback device takes a different approach, using specific odors to simulate the characteristics of production raw materials and changes in odor during product processing, using unique olfactory stimulation to deepen visitors' understanding of the factory production links; the vibration feedback device uses vibrations of different frequencies and amplitudes in scenarios such as emergency fault warnings and key operation prompts to quickly attract visitors' attention and provide strong reminders of important information.

[0071] The hardware modules are sorted according to the magnitude of their information response values ​​to create a hardware sequence. From a hardware perspective, the temperature feedback device, with its powerful temperature control system, is capable of regulating the temperature over a large area of ​​the exhibition hall, far exceeding the range of other devices. The odor feedback device, using specialized molecular diffusion equipment, can transmit specific odor information within a medium-sized space. The vibration feedback device, based on supports such as seats and tables, provides localized vibration feedback. The information feedback device, on the other hand, relies primarily on screens and speakers, with a relatively concentrated range within the visual and auditory areas. This creates a hierarchy of temperature feedback devices > odor feedback devices > vibration feedback devices > information feedback devices. In terms of hardware strength, the temperature feedback device can achieve large temperature changes, providing a strong tactile sensation. The vibration feedback device adjusts the vibration frequency and amplitude to produce varying degrees of tactile stimulation. The odor feedback device transmits information based on the concentration of released odor molecules. The information feedback device outputs information through screen brightness and sound loudness, forming a strength hierarchy: temperature feedback devices > vibration feedback devices > odor feedback devices > information feedback devices.

[0072] Behavioral data is collected and pattern features are identified from it. Within the smart factory exhibition hall, behavioral data is collected through distributed basic sensors. Infrared sensors and cameras are installed at the exhibition hall entrance, various display areas, and near interactive devices. The infrared sensors monitor the movement of people and record the time visitors enter and exit each area, while the cameras capture visitors' movements in front of specific equipment, including their actions. A click recorder is also installed on the interactive screen to record visitor clicks, swipes, and other actions. After collecting behavioral data, pattern features are identified using rule matching. A series of pre-defined behavioral rules are set. For example, if a visitor spends more than five minutes in the virtual simulation area of ​​a faulty device and clicks on the maintenance record page more than three times, this is considered "focusing on fault repair" mode. If a visitor spends only a short time in the production line display area and only briefly browses, this is considered "quickly browsing the production process" mode. By comparing the collected behavioral data against these rules, corresponding pattern features are identified.

[0073] The correlation between pattern features and factory status data is calculated using a weighted scoring method. Different weights are assigned to each pattern feature and factory status based on actual experience and historical data. For example, the "Focus on Troubleshooting" pattern has a high correlation with the "Major Factory Failure" state and is assigned a weight of 0.8; the "Focus on Troubleshooting" pattern has a low correlation with the "Normal Production" state and is assigned a weight of 0.2. Assuming the factory is currently in a major failure state, if the visitor is identified as being in the "Focus on Troubleshooting" mode, the correlation value is 1 × 0.8 = 0.8; if the visitor is in the "Quickly Viewing the Production Process" mode, the correlation value is 0.2 × 0.8 = 0.16. This simple weighted calculation yields a correlation value in the 0-1 range, intuitively reflecting the degree of correlation between visitor behavior and factory status.

[0074] The hardware module corresponding to the sequence position is selected from the hardware sequence based on the ratio of the correlation value to the preset maximum correlation value. Taking the maximum correlation value of 0.95 as an example, when the calculated correlation value is 0.85, the ratio is approximately 0.89, and the system will select the module combination ranked in the top 89% of the hardware sequence. In the event of a major fault, the temperature feedback device (ranked 1st) and the information feedback device (ranked 2nd) will be activated first, forming a multi-modal response combination.

[0075] Select the corresponding reference value according to the information type; build a reference value library based on historical data and knowledge; and include reference thresholds for all states from routine production to emergency failures.

[0076] If the correlation value is greater than the preset reference value, a hardware feedback instruction is generated based on the difference between the correlation value and the reference value. The system pre-sets corresponding reference values ​​for different factory states (such as equipment overheating warning, production line failure, normal production, etc.). This reference value serves as the threshold for triggering hardware feedback, representing the minimum degree of correlation between the visitor's behavior and the current factory state. Taking the equipment overheating warning scenario as an example, assuming that the reference value set by the system is 0.6, when the calculated correlation value is 0.8, the difference is 0.2, indicating that the visitor's concern about the equipment overheating status exceeds the basic threshold, and hardware feedback needs to be triggered to strengthen information transmission.

[0077] The difference controls the hardware module, and the larger the difference, the greater the amplitude of the hardware module's action, while the smaller the difference, the smaller the amplitude of the hardware module's action. For a temperature feedback device, for example, the system defines a mapping between the difference and temperature change: every 0.1 difference corresponds to a +2.5°C temperature increase. When the difference is 0.2, the temperature feedback device executes a +5°C temperature adjustment command, simulating an overheated device by raising the local ambient temperature, such as the tactile temperature of the device simulation area, to enhance visitors' tactile perception. For a vibration feedback device, the mapping between the difference and vibration parameters can be set as follows: every 0.1 increase in the difference increases the vibration frequency by 25Hz and the amplitude by 0.6g. When the difference is 0.2, the vibration feedback device generates a vibration pattern with a frequency of 50Hz and an amplitude of 1.2g, providing a tactile warning of emergency information through noticeable vibration of the seat or operating table. For information feedback devices, such as display screens and speakers, the difference is used to adjust screen brightness, sound volume, and playback duration. For example, when the difference is 0.2, the screen brightness increases by 20% to highlight the device overheating alarm icon; the sound volume increases by 10dB, and a rapid alarm sound effect plays, and the playback duration is extended to continuously loop until the correlation value falls below the reference value. The odor feedback device adjusts the concentration of odor molecules based on the difference. When the difference is 0.2, a pungent odor concentration of 0.2ppm is released, simulating the smell of burning circuits, further enhancing the warning effect through olfactory stimulation.

[0078] By acquiring and analyzing factory status data to identify information types, calculating hardware feedback data and assigning response value rankings to hardware modules, dynamically selecting hardware modules based on the collected behavioral data and the correlation value of the factory status, and generating instructions to control the hardware action amplitude based on the difference between the correlation value and the reference value, this achieves refined and dynamic hardware response to the diverse factory status, and improves the accuracy and efficiency of information transmission.

[0079] The information feedback device plays preset images and sounds in response to the hardware feedback instruction, such as some images and sounds in the factory control hall.

[0080] When the difference falls within the first range (the interval with the largest difference), the information feedback device prioritizes playing a single visual image. In this case, the visual content is carefully designed, featuring visual elements such as bright flashing warning icons, large fonts for key data, and dynamic arrow guides, quickly conveying core information to the user in a concise and intuitive manner. For example, in the event of a major factory failure, a red flashing fault code and schematic diagram will instantly appear on the screen, helping operators grasp key information immediately and avoiding decision-making delays caused by excessive information. If the difference falls within the second range, the system chooses to play audio alone, leveraging the unique advantages of sound to attract user attention. Audio prompts include acoustically optimized alarm sounds, voice announcements of the fault type, and brief action suggestions. These provide effective auditory notifications without distracting the user's visual attention, making them suitable for minor anomalies that don't require immediate visual attention. When the difference falls into the third range, indicating a high level of user interest and a need for more comprehensive information, the information feedback device plays both visual and audio simultaneously, leveraging the synergistic effects of vision and hearing. High-definition dynamic fault analysis images paired with detailed voice commentary provide in-depth analysis of factory status from multiple dimensions, enhancing users' understanding and memory of information.

[0081] There is a positive correlation between the stroke parameters and the execution time of the information feedback device playback; for hardware modules with larger stroke parameters, it means that they have greater advantages in spatial coverage capabilities and can better meet the needs of large-scale information transmission. Therefore, the system will let the information feedback device start playing in advance to seize the opportunity of information transmission. For example, before the factory is about to enter the high-load production stage, if the stroke parameters of the temperature feedback device are high, the information feedback device will play the production plan screen and preheating prompt sound a few minutes in advance to reserve sufficient preparation time for the operator. On the contrary, when the stroke parameters are small, the playback time point is postponed accordingly to ensure that the information is presented at the most appropriate time and avoid premature information display causing user attention to be distracted.

[0082] The intensity parameter determines the execution time of the information feedback device's playback. The higher the intensity parameter, the more the hardware can meet the needs in terms of sensory stimulation intensity, and the playback time of the information feedback device will be extended accordingly. Taking a local failure of factory equipment as an example, if the intensity parameter of the vibration feedback device is high, the information feedback device will continue to display detailed information such as the fault detection process and maintenance steps in a loop when playing the fault image and sound until the problem is resolved or the user manually closes it, ensuring that the operator can fully obtain and understand the relevant information. If the intensity parameter is low, the playback time will be appropriately shortened to convey necessary information in a concise and efficient manner, preventing excessive information display from burdening users.

[0083] A precise control strategy based on multi-dimensional parameters enables the information feedback device to dynamically adjust the feedback mode, timing, and duration based on the complex and ever-changing factory operating conditions, achieving accurate and efficient information transmission. Whether in daily production monitoring or emergency troubleshooting scenarios, it provides users with an optimized information feedback experience, effectively improving the information exchange efficiency and management level of the smart factory.

[0084] As a key hardware response unit, the temperature feedback device establishes a well-defined, precise, and efficient temperature sensing and feedback system through the refined execution of hardware feedback instructions. When the system generates a hardware feedback instruction based on the difference between the associated value and the reference value, the temperature feedback device responds quickly. Its regulation targets cover both gas temperature and hardware temperature. Through differentiated regulation strategies, it effectively transmits information about different factory conditions. Gas temperature can be adjusted using indoor air conditioning or central air conditioning, while hardware temperature can be adjusted using heaters and other methods.

[0085] To implement hierarchical temperature feedback control, the system divides the difference into three logically progressive ranges based on its magnitude. When the difference falls within the fourth range, the interval with the largest difference, the temperature feedback device prioritizes adjusting the gas temperature individually. In this case, by controlling the central air conditioning system or local ventilation equipment, a gentle temperature change is created across a larger area. This large-scale temperature adjustment can gently attract the attention of operators or visitors, making it suitable for general status notification scenarios. For example, when a factory is about to enter equipment maintenance, the temperature feedback device can reduce the gas temperature in the work area by 2-3°C, signaling the impending status change with a cooler environment and preventing drastic temperature fluctuations from disrupting normal operations. If the difference falls into the fifth range, the temperature feedback device focuses on individually adjusting the temperature of hardware, such as operating desks and equipment simulation panels. By rapidly increasing or decreasing the temperature, creating a strong local temperature change, this precise tactile stimulation can quickly attract the user's attention and is suitable for abnormal situations that require special attention. For example, if a production line experiences an abnormality, the surface temperature of the corresponding operating desk can instantly rise by 5-8°C, alerting the operator to the need for prompt action through a burning sensation. When the difference is in the sixth range, where it is minimal, the temperature feedback device simultaneously adjusts the gas and hardware temperatures, creating a three-dimensional sensory experience through multi-dimensional temperature changes. At this point, gas temperature changes are used to create an overall environmental atmosphere, while hardware temperature changes enhance local warnings, achieving in-depth information transmission and being suitable for emergency and complex factory conditions. For example, in the event of a major factory failure, the gas temperature in the working area will drop sharply by 10°C, and the temperature of the operating panel corresponding to the faulty equipment will quickly rise to the high temperature warning threshold, providing strong warnings from both the environmental and local levels.

[0086] In terms of precise adjustment of temperature feedback, stroke parameters and intensity parameters play a core role. The stroke parameter is positively correlated with the execution temperature of the hardware module, and its numerical value directly determines the amplitude of temperature regulation. For temperature feedback devices with larger stroke parameters, it means that they have stronger spatial coverage capabilities and temperature regulation potential. In critical factory conditions, such as when equipment overload may cause serious failures, the system will drive the temperature feedback device to make large-scale temperature adjustments based on the larger stroke parameters. For example, the gas temperature in the working area will be increased by 8-10°C to simulate the environment of overheating of the equipment, and the significant temperature changes will attract the attention of relevant personnel and prompt them to take timely measures. Conversely, when the stroke parameter is smaller, the amplitude of temperature regulation is also reduced accordingly to avoid interference with normal work caused by excessive adjustment.

[0087] The intensity parameter is closely linked to the execution flow rate of the hardware module, and through a positive correlation regulation mechanism, precise control of temperature regulation efficiency is achieved. The higher the intensity parameter, the stronger the hardware's energy transmission and temperature regulation capabilities, and the faster the execution flow rate. When an emergency failure occurs in a factory and warning information needs to be transmitted quickly, a temperature feedback device with high intensity parameters can deliver cold / hot airflow at a faster flow rate or accelerate temperature conduction on the hardware surface, allowing the temperature to reach the set value in a short period of time. For example, when a critical device is detected to be about to fail, the temperature feedback device can raise the surface temperature of the operating table to the warning temperature within seconds, while simultaneously regulating the surrounding ambient temperature with high-speed airflow, quickly creating an emergency atmosphere and ensuring that relevant personnel can detect and address the problem immediately. When the intensity parameter is low, the execution flow rate is correspondingly slowed, which is suitable for scenarios that require more gradual temperature changes, ensuring the comfort and effectiveness of temperature feedback.

[0088] This differential range-based differential adjustment strategy, combined with precise control of stroke and intensity parameters, enables the temperature feedback device to dynamically adjust across multiple dimensions, including feedback intensity, speed, and coverage, based on the factory's real-time status. This not only fully exploits the potential of temperature sensing in information transmission and enriches the forms of hardware response, but also enables efficient and accurate communication of factory status information through precise temperature regulation, providing strong support for the refined management and efficient operation of smart factories.

[0089] The odor feedback device serves as a unique sensory interaction medium, using odor molecules as a carrier to transmit information. When the system generates a hardware feedback command based on the difference between the associated value and the reference value, the odor feedback device quickly activates. Through a sophisticated molecular diffusion system, it converts abstract factory status information into perceptible olfactory signals, establishing a differentiated and precise odor feedback mechanism.

[0090] Based on the size of the difference, the system divides the odor molecule release strategy into two progressive levels. When the difference is in the seventh range, that is, the difference is large, the odor feedback device only releases a single type of odor molecule, using concise and clear olfactory signals to quickly convey core information. For example, in the scenario of routine maintenance reminders for factory equipment, the device releases a light mint fragrance, using a mild and highly recognizable smell to indicate that the maintenance cycle is approaching. It will not interfere with personnel judgment due to the complexity of the smell, but can effectively attract attention. When the difference falls into the eighth range, that is, the difference is small, the system activates the composite odor release mode, and by deploying a combination of multiple odor molecules, it constructs a layered odor scene. For example, when there is an early warning of raw material shortages on the production line, the device releases a mixture of burnt smells that simulate the depletion of raw materials and a warning sour smell. The complex odor combination strengthens the urgency and importance of the information, helping operators quickly identify potential risks.

[0091] Stroke parameters play a key role in regulating the spatial dimension of odor diffusion. Stroke parameters are positively correlated with the number of execution channels of the hardware module, and directly determine the diffusion efficiency and coverage of odor molecules. For scenarios with higher stroke parameters, such as when a global failure occurs in the factory, the odor feedback device will enable multiple release channels. Through a three-dimensional array of nozzles, it will accelerate the spread of odor molecules in fan-shaped, ring-shaped, and other diffusion modes to ensure that the entire control hall or production area is filled with warning odors in a short period of time. On the contrary, when the stroke parameters are low, the device only opens a few core channels and concentrates the release of odor on key positions or personnel activity areas to avoid waste of resources caused by excessive odor diffusion, while reducing interference with non-relevant personnel.

[0092] The intensity parameter is responsible for precisely controlling the concentration of odor molecules and achieving quantitative regulation of the intensity of olfactory stimulation. When the factory is in an emergency state and the intensity parameter is high, the odor feedback device increases the odor concentration to the upper threshold by increasing the output power and release frequency of the molecular pump. For example, in an early warning of the risk of sudden explosion of equipment, the device quickly releases high-concentration irritating odors, such as simulating the burnt smell of smoke, with a concentration of up to 0.8ppm. The strong olfactory stimulation can instantly trigger personnel alertness. Under normal production conditions, the intensity parameter is low, and the device releases odors at low concentrations and low frequencies, such as maintaining a fresh odor of 0.1ppm, which can not only maintain the comfort of the environment, but also continuously convey the information of stable production.

[0093] Through strategic grading of differential ranges, spatial control of travel parameters, and concentration adjustment of intensity parameters, the odor feedback device establishes a three-dimensional, precise feedback system. This mechanism not only transcends the limitations of traditional visual and auditory feedback, opening up a new dimension of olfactory interaction, but also dynamically adjusts the complexity, diffusion rate, and concentration of odors based on factors such as the urgency of the factory status and the scope of impact, transforming abstract production data into a concrete olfactory language.

[0094] As the core carrier of tactile perception, the vibration feedback device, driven by hardware feedback commands, builds a highly immersive tactile interaction system. When the system generates hardware feedback commands, the vibration feedback device responds quickly. Via vibration modules distributed across carriers such as seats, operating consoles, and mobile devices, it converts factory status information into perceptible physical vibration signals, enabling multi-scenario and multi-level tactile feedback.

[0095] The system performs precise quantitative control of vibration feedback based on stroke parameters and intensity parameters. The stroke parameter is positively correlated with the vibration frequency, which determines the dynamic rhythm of the vibration feedback. When the factory is at a critical production node or an emergency failure state, the high stroke parameter prompts the vibration feedback device to operate in a high-frequency vibration mode. For example, when a major equipment failure occurs on the production line, the vibration module on the surface of the operating table continuously outputs a high-frequency vibration of 200Hz. The fast and intensive vibration signal can instantly break through the interference of visual and auditory information, attracting the operator's attention at the first time and ensuring that key information is not ignored. When the factory is in routine production or equipment inspection, the low stroke parameter causes the vibration feedback device to switch to a low-frequency mode, such as a vibration frequency of 50Hz, using a gentle and regular vibration rhythm to provide status reminders, which will not excessively interfere with the normal work of the operator while continuously transmitting relevant information about the equipment's operating status.

[0096] The intensity parameter is closely related to the vibration amplitude, precisely controlling the force and intensity of the vibration feedback. For information of high importance, such as abnormal warnings for core equipment, high-intensity parameters will drive the vibration module to produce large-scale vibrations. Taking the overload warning of a large CNC machine tool as an example, the vibration device installed on the operating seat can generate strong vibrations with an amplitude of 3g. Through the strong tactile impact, the operator can intuitively feel the severity of the abnormal situation and take quick countermeasures. For general status prompts, such as the completion of a stage in the production process, the vibration module under low-intensity parameters only produces a slight vibration with an amplitude of 0.5g, transmitting information with a gentle touch, ensuring that the information is conveyed while maintaining a comfortable operating environment.

[0097] In addition, this application introduces a resonance mechanism. When the vibration feedback device enters resonance mode, the information feedback device will accurately emit sound waves of the corresponding frequency based on the resonant frequency characteristics. In actual applications, when large machinery in a factory experiences abnormal vibrations, vibration sensors installed around the machinery detect the abnormal frequency. The vibration feedback device generates vibrations of the same frequency at the corresponding location. At the same time, the information feedback device emits sound waves of the same frequency. The sound waves and vibrations are superimposed on each other, creating a stronger physical effect. This sound-vibration linkage design not only enhances the intensity and recognition of the feedback signal, but also expands the dimension of information transmission through the synergistic effect of sound and vibration. For example, in a simulated factory explosion warning scenario, the vibration feedback device vibrates at a specific frequency, combined with the sharp alarm sound emitted by the information feedback device. The strong sensory stimulation generated by the resonance of the two can enable operators to quickly identify danger signals in complex environments. The implementation method can also be achieved using tuning forks on the desktop. Specifically, multiple tuning forks with different natural frequencies can be arranged on the operating table or the desktop in the display area of ​​the factory control hall. Each tuning fork corresponds to a different factory status or information type. For example, a high-frequency tuning fork corresponds to a major fault warning, a medium-frequency tuning fork corresponds to an equipment abnormality, and a low-frequency tuning fork corresponds to a normal status reminder. When the system generates a hardware feedback command and triggers the resonance mechanism, the feedback device emits sound waves of a specific frequency based on the frequency information contained in the command. These sound waves propagate through air. When the frequency of the sound waves matches the natural frequency of a tuning fork on the table, the fork vibrates strongly due to the resonance effect. The vibration of the tuning fork not only attracts attention through its visually distinct swing but is also accompanied by a clear, distinctive sound, creating dual feedback of sound and vibration.

[0098] The diverse range of vibration carriers further enriches the application scenarios of vibration feedback. In the exhibition area of ​​the smart factory, the smart bracelets worn by visitors can provide subtle vibration prompts of the tour route and key exhibits; in the production workshop, the operator's helmet has a built-in vibration module for receiving equipment maintenance reminders; and in the central control room, the vibration feedback of the large operating table focuses on major fault warnings. Combining differentiated vibration parameter adjustment and sound-vibration linkage mechanism, the vibration feedback device achieves full-scene coverage from weak prompts to emergency warnings, greatly improving the interactivity and accuracy of hardware responses. Through the unique perceptual dimension of touch, operators and visitors can obtain factory status information more intuitively and efficiently, injecting new vitality into the information interaction and management decision-making of smart factories, and effectively promoting the improvement of human-machine collaboration efficiency in industrial scenarios.

[0099] An embodiment of the present application further discloses a smart factory information response device based on hardware feedback, comprising a processor, wherein the processor executes the steps of the smart factory information response method based on hardware feedback as described in any one of the above.

[0100] An embodiment of the present application further discloses a storage medium, in which a program is stored. When the program is executed by a processor, the steps of any one of the above-mentioned smart factory information response methods based on hardware feedback are implemented.

[0101] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A smart factory information response method based on hardware feedback, characterized in that: The steps include: Get factory status data; Identifying an information type of the factory status from the factory status data and calculating hardware feedback data based on the information type; assigning information response values ​​to a plurality of hardware modules based on the hardware feedback data, wherein the hardware modules are used to generate response feedback; Sort the hardware modules according to the magnitude of the information response values ​​to obtain a hardware sequence; collecting behavioral data and identifying pattern features from the behavioral data; calculating a correlation value between the pattern feature and the plant status data; selecting the hardware module corresponding to the sequence position from the hardware sequence according to the ratio of the correlation value to a preset correlation maximum value; Selecting a corresponding reference value according to the information type; If the associated value is greater than a preset reference value, generating a hardware feedback instruction according to the difference between the associated value and the reference value; The hardware module is controlled, and the larger the difference is, the larger the amplitude of the action performed by the hardware module is, and the smaller the difference is, the smaller the amplitude of the action performed by the hardware module is.

2. The smart factory information response method based on hardware feedback according to claim 1 is characterized in that: The step of calculating the hardware feedback data according to the information type further includes the following sub-steps: Presetting parameters of the hardware feedback data, the parameters including a sensory travel value and a sensory intensity value; Identify the work priority and work scheduling amount corresponding to the information type and the control item in the control hall; Calculating a correlation value according to the work priority and the work scheduling amount, wherein the information type is positively correlated with the work priority and the work scheduling amount; The sensory range is adjusted in positive correlation according to the correlation value, and the sensory intensity is adjusted in anti-correlation according to the correlation value.

3. The smart factory information response method based on hardware feedback according to claim 2 is characterized in that: The step of assigning information response values ​​to multiple hardware modules according to the hardware feedback data further includes the following sub-steps: Obtaining the hardware travel and hardware strength of the hardware module; Calculating a travel parameter based on the hardware travel and the sensory travel, and calculating an intensity parameter based on the hardware intensity and the sensory intensity; An information response value is calculated according to the stroke parameter and the intensity parameter.

4. The smart factory information response method based on hardware feedback according to claim 3 is characterized in that: The hardware module includes an information feedback device, a temperature feedback device, an odor feedback device, and a vibration feedback device; wherein the magnitude relationship of the hardware stroke is: the temperature feedback device > the odor feedback device > the vibration feedback device > the information feedback device; and the magnitude relationship of the hardware strength is: the temperature feedback device > the vibration feedback device > the odor feedback device > the information feedback device; The information feedback device is used to play pictures or sounds, the temperature feedback device is used to adjust the tactile temperature, the smell feedback device is used to release smells, and the vibration feedback device is used to generate vibrations.

5. The smart factory information response method based on hardware feedback according to claim 4 is characterized in that: The method further comprises the steps of: The information feedback device plays a preset picture and sound in response to the hardware feedback instruction; If the difference is within the first range, the image is played alone; if the difference is within the second range, the sound is played alone; if the difference is within the third range, the image and sound are played simultaneously; wherein the first range>the second range>the third range; The execution time point of the playback of the information feedback device is adjusted according to the positive correlation of the travel parameter; the larger the travel parameter, the earlier the playback time point; the smaller the travel parameter, the later the playback time point; The execution time of the playback of the information feedback device is adjusted according to the positive correlation of the intensity parameter; the greater the intensity parameter, the longer the playback time; the smaller the intensity parameter, the shorter the playback time.

6. The smart factory information response method based on hardware feedback according to claim 4 is characterized in that: The method further comprises the steps of: The temperature feedback device adjusts the temperature of the gas or the temperature of the hardware in response to the hardware feedback instruction; If the difference is within the fourth range, the gas temperature is adjusted alone; if the difference is within the fifth range, the hardware temperature is adjusted alone; if the difference is within the sixth range, the gas and hardware temperatures are adjusted simultaneously; wherein the fourth range > the fifth range > the sixth range; The execution temperature of the hardware module is adjusted in a positive correlation with the stroke parameter; the larger the stroke parameter, the greater the change range of the adjustment execution temperature; and the smaller the stroke parameter, the smaller the change range of the adjustment execution temperature; The execution flow rate of the hardware module is adjusted in a positive correlation with the intensity parameter; the larger the intensity parameter, the faster the execution flow rate; the smaller the intensity parameter, the slower the execution flow rate.

7. The smart factory information response method based on hardware feedback according to claim 4 is characterized in that: The method further comprises the steps of: The odor feedback device emits odor molecules in response to the hardware feedback instruction; If the difference is within the seventh range, a single odor molecule is emitted; if the difference is within the eighth range, a combination of multiple odor molecules is emitted; wherein the seventh range is greater than the eighth range; The execution channel of the hardware module is adjusted according to the positive correlation of the travel parameter; the larger the travel parameter, the more odor release channels are enabled; the smaller the travel parameter, the fewer odor release channels are enabled; The execution intensity of the hardware module is adjusted according to the positive correlation of the intensity parameter; the larger the intensity parameter, the higher the odor concentration; the smaller the intensity parameter, the lower the odor concentration.

8. The smart factory information response method based on hardware feedback according to claim 4 is characterized in that: The method further comprises the steps of: The vibration feedback device vibrates in response to the hardware feedback instruction; If the vibration feedback device vibrates, the execution frequency of the hardware module is adjusted in a positive correlation with the stroke parameter; the larger the stroke parameter, the higher the vibration frequency; the smaller the stroke parameter, the lower the vibration frequency; Adjusting the execution amplitude of the hardware module in a positive correlation with the intensity parameter; the greater the intensity parameter, the greater the vibration amplitude; the smaller the intensity parameter, the smaller the vibration amplitude; If the vibration feedback device resonates, a sound wave of a corresponding resonance frequency is emitted to the vibration feedback device via the information feedback device.

9. A smart factory information response device based on hardware feedback, characterized in that: The method comprises a processor, wherein the processor executes the steps of the smart factory information response method based on hardware feedback as described in any one of claims 1 to 8.

10. A storage medium, characterized in that: The medium stores a program, and when the program is executed by the processor, the steps of the smart factory information response method based on hardware feedback described in any one of claims 1 to 8 are implemented.

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