Apartment electrical cable safety device
By designing a safety device for electrical cables in the apartment, and using sensors and artificial intelligence to monitor the cable status, the problems of cable sheath damage and safety hazards have been solved, and the safe storage and efficient management of cables have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DASAN TECHNOLOGY GROUP CO LTD
- Filing Date
- 2025-02-24
- Publication Date
- 2026-05-29
AI Technical Summary
In the existing technology, electrical cables exposed in apartments are prone to damage from external impacts, which can affect power supply and pose fire safety hazards. Furthermore, there is a lack of effective monitoring and management solutions.
An electrical cable safety device for apartments has been designed, comprising a base plate, a cover, a buffer section, a moving track, and a camera. It utilizes sensors to measure external forces and combines artificial intelligence models for monitoring and prediction to achieve safe storage and management of cables.
By buffering external forces to protect cables, monitoring cable status, efficiently focusing on hazardous areas, and predicting changes in external forces, the system achieves safe management and efficient monitoring of cables.
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Figure CN122118573A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of apartment safety technology, and in particular to an electrical cable safety device for apartments. Background Technology
[0002] As more and more home appliances are developed to meet various needs, and as portable home appliances become increasingly common, many areas within apartments require electricity. Consequently, the demand for electrical cables capable of delivering power to designated locations within an apartment is also increasing.
[0003] When electrical cables are exposed, their outer sheaths may be damaged by external physical impacts. Damaged cables not only affect the power supply to the residence but also pose safety hazards such as fires. Therefore, a solution for the safe storage and management of electrical cables is needed. Summary of the Invention
[0004] The purpose of this invention is to provide an apartment electrical cable safety device that can safely store and manage electrical cables in an apartment.
[0005] Another objective of this invention is to provide an apartment electrical cable safety device that can monitor the status of apartment electrical cables and perform the monitoring efficiently.
[0006] Another objective of this invention is to provide an apartment electrical cable safety device that can effectively predict external forces when residents change or the indoor environment changes due to relocation or other reasons.
[0007] According to one embodiment of the present invention, an apartment electrical cable safety device includes: a base plate installed in the apartment and elongated in the front-to-back direction; a first connecting portion that protrudes upward and bends outward at both ends of the base plate, forming a first slot together with the base plate; two supporting portions protruding upward from the base plate, constituting the bottom of the device; a top plate with an upwardly protruding cross-section and elongated in the front-to-back direction, and a second connecting portion inserted into the first slot, constituting the cover portion of the device; a moving track disposed above the first connecting portion; a camera located on the moving track; a drive unit for moving the camera along the moving track; a control unit for controlling the operation of the drive unit; and a buffer portion fixed below the top plate of the cover, which can be placed at the top of the bottom supporting portion when the cover is connected to the bottom. The electrical cable is placed between the base plate and the two supporting portions.
[0008] The buffer unit includes: a leaf spring mounted on top of the support unit when the cover is connected to the bottom; an attachment part connecting the leaf spring and the top plate; and multiple sensors arranged equidistantly along the front-back direction of the leaf spring for measuring the external force applied to the leaf spring. The control unit includes a processor, communication circuitry, and a memory. The memory stores an image database containing first images captured by the camera when no abnormalities have occurred. The processor is configured to: capture a second image of the interior of the apartment's electrical cable safety device using the camera; compare the second image with the first image in the image database to determine if the apartment's electrical cable safety device is damaged; and if the device is determined to be damaged, send a warning message to external devices via the communication circuitry.
[0009] According to one embodiment of the present invention, the memory includes a sensor database for associated storage of the date, day of the week, time, sensor coordinates, and measured external force data for each sensor. The processor generates a first artificial intelligence model based on the sensor database. This model, upon inputting the date, day of the week, time, and sensor coordinates, outputs a predicted external force value corresponding to the sensor coordinates and time. Based on the first artificial intelligence model, the processor obtains the predicted external force value for each sensor within a specific first time period, and simultaneously obtains the measured external force value for each sensor within that time period. For each sensor, the processor calculates the magnitude of the measured external force value and a weighted sum of the errors between the measured and predicted external force values to obtain a first score. Based on the first score, the processor determines the number of times the camera will take pictures within a preset interval of the movement track corresponding to each sensor. The first score P(i) corresponding to the i-th sensor is determined by the formula P(i)=k1×M(i)+k2×E(i), where M(i) is the external force measurement value of the i-th sensor in the first time period, E(i) is the error between the measured and predicted values of the external force of the i-th sensor in the first time period, k1 is the weighting constant of M(i) on the first score, and k2 is the weighting constant of E(i) on the first score.
[0010] According to one embodiment of the present invention, when the resident where the electrical cable safety device in the apartment is located changes at time T1, the processor, when acquiring the predicted value of the external force at any time t between time T1 and time T1+T2, assigns the data acquired before time T1 in the sensor database to... The weights are assigned to the data acquired after time T1. The weights; when obtaining the predicted value of the external force at any time t after time T1+T2, the data obtained before time T1 in the sensor database no longer need to be considered.
[0011] According to one embodiment of the present invention, the memory includes a first database storing first scores corresponding to multiple sensors. A processor performs Mean-shift clustering analysis on the data in the first database, calculating the number of intervals n. It then divides the data in the sensor database into n clusters using a k-means clustering algorithm, calculating a center value and an interval boundary value for each cluster to determine whether a first score belongs to that cluster. The boundary value between two adjacent clusters is the median of the maximum first score in the smaller first score cluster and the minimum first score in the larger first score cluster. The processor assigns a priority score to each cluster; the higher the cluster center value, the higher the priority score. Based on the priority score corresponding to the first score calculated for each sensor, the processor determines the camera control schedule. The higher the priority score, the more times the camera takes pictures within a preset interval of the corresponding sensor's movement track. The processor controls the drive unit to move the camera according to the control schedule and controls the camera to take pictures according to the schedule.
[0012] According to one embodiment of the invention, the priority score may be proportional to the cluster center value.
[0013] The present invention can achieve the following beneficial effects: According to one embodiment of the present invention, the apartment electrical cable safety device absorbs external impacts by setting a buffer part, and monitors the external force of the buffer part by using a sensor and a camera in the device, thereby realizing the safe storage and management of electrical cables in the apartment.
[0014] According to one embodiment of the present invention, when monitoring the status of electrical cables in an apartment, the device comprehensively considers the difference between sensor measurements and artificial intelligence-predicted external forces, as well as the actual magnitude of the external forces, and focuses the monitoring on dangerous areas to achieve efficient safety management.
[0015] According to one embodiment of the present invention, when the resident changes or the indoor environment changes due to relocation, the device uses a flexible weighting method to collect data before and after the resident change within a certain period of time, and only uses the changed data after the period of time, thereby effectively predicting the external forces directly applied by the resident or the external forces generated by the environment set by the resident.
[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.
[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0019] Figure 1 This is an internal cross-sectional view of the apartment electrical cable safety device in different embodiments of the present invention.
[0020] Figure 2 The structure of the apartment electrical cable safety device is shown in different embodiments of the present invention.
[0021] Figure 3 This is a block diagram of an apartment electrical cable safety device in different embodiments of the present invention.
[0022] Figure 4 The locations of multiple sensors in the apartment electrical cable safety device in different embodiments of the present invention are shown, as well as the preset intervals corresponding to each sensor on the moving track. Detailed Implementation
[0023] In this specification, the terms "comprises" and / or "comprising" do not exclude the presence or addition of one or more other components. The various embodiments and terminology used herein are not intended to limit the technical features described herein to particular embodiments, but should be understood to cover various modifications, equivalents, or substitutions of the corresponding embodiments. In the description of the drawings, similar reference numerals may be used for similar or related components. Unless the relevant context clearly indicates otherwise, the singular form of the noun corresponding to an item may include one or more of that item. In this specification, expressions such as "A or B," "at least one of A and B," "at least one of A or B," "A, B, or C," "at least one of A, B, and C," and "at least one of A, B, or C" may each include any one of the items listed with the corresponding expression, or all possible combinations thereof. Terms such as "first," "second," "first," or "second" are used only to distinguish the corresponding component from other corresponding components and do not limit the corresponding component in any other way (e.g., in importance or order). When it is mentioned that a component (e.g., the first) is “connected” to another component (e.g., the second), whether or not it is accompanied by terms such as “functionally” or “communically”, it means that the component can be connected to the other component directly (e.g., via a wired connection), wirelessly, or via a third component.
[0024] Various embodiments of this specification can be implemented as software, which includes one or more instructions stored in a machine-readable storage medium (e.g., internal or external memory). For example, a machine's processor can invoke at least one of the one or more instructions stored in the storage medium and execute it. This enables the machine to perform at least one function according to the invoked at least one instruction. The aforementioned one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, "non-transitory" simply means that the storage medium is a tangible device and does not include signals (e.g., electromagnetic waves); this term does not distinguish whether data is permanently or temporarily stored in the storage medium.
[0025] According to one embodiment, the methods involved in the various embodiments disclosed in this specification can be included in a computer program product. The computer program product can be traded as a commodity between a seller and a buyer. The computer program product can be distributed in the form of a machine-readable storage medium (e.g., an optical disc read-only memory (CD-ROM)) or through an app store (e.g., the Play Store). TM Online distribution (e.g., downloading or uploading), or direct online distribution between two user terminals (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored in a machine-readable storage medium such as the memory of a manufacturer's server, an app store's server, or a relay server, or may be temporarily generated.
[0026] According to various embodiments, each of the above components (e.g., modules or programs) may include one or more entities, and some of the multiple entities may be arranged separately from the other components. According to various embodiments, one or more of the above components or steps may be omitted, or one or more other components or steps may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into one component. In this case, the integrated component may perform one or more functions in the same or similar manner as one or more functions performed by corresponding components among the multiple components prior to integration. According to various embodiments, steps performed by modules, programs, or other components may be performed sequentially, in parallel, repeatedly, or heuristically, or one or more steps may be performed in a different order, omitted, or one or more other steps may be added.
[0027] Figure 1 This is an internal cross-sectional view of the apartment electrical cable safety device in different embodiments of the present invention. Figure 2 The structure of an apartment electrical cable safety device according to different embodiments of the present invention is shown. (Reference) Figure 1 and Figure 2 The apartment electrical cable safety device (10) includes a bottom (100), a cover (200), a buffer (300), a moving track (430), a drive unit (not shown), and a camera (420).
[0028] The bottom (100) is installed inside the apartment, along the front and back direction (reference). Figure 2 It consists of a long strip-shaped base plate (110), a first connecting part (120, 130) that protrudes upward and bends outward at both ends of the base plate (110) and forms a first slot (120h, 130h) together with the base plate (110), and two supporting parts (140, 150) that protrude upward from the base plate (110).
[0029] The cover (200) consists of a top plate (210) with an upwardly protruding cross-section and an elongated strip along the front-back direction, and a second connecting part (220, 230) that inserts into the first slot (120h, 130h). The cover (200) is connected to the bottom (100) and can cover the upper part of the bottom (100).
[0030] Above the first connecting parts (120, 130), a moving track (430) in the front-to-back direction can be provided. The apartment electrical cable safety device (10) may include a drive unit that moves the camera (420) along the moving track (430). Figure 1 The image shows that a moving track (430) and a camera (420) are respectively arranged above the first connecting parts (120, 130) on both sides. However, according to different embodiments of the present invention, the moving track (430) and the camera (420) may be arranged only above the first connecting part on one side.
[0031] A buffer (300) is fixed below the top plate (210) of the cover (200) and is positioned at the top of the support portions (140, 150) of the bottom (100) when the cover (200) is connected to the bottom (100). The buffer (300) includes a leaf spring (310) that is placed at the top of the support portions (140, 150) when the cover (200) is connected to the bottom (100). The buffer (300) also includes an attachment portion (320) connecting the leaf spring (310) and the top plate (210). The buffer (300) includes multiple sensors (410) arranged equidistantly along the front-rear direction of the lower surface of the leaf spring (310) for measuring the external force applied to the leaf spring (310). An example layout of the multiple sensors (410) is shown below. Figure 4 As shown.
[0032] The electrical cable (L) is placed between the base plate at the bottom (100) and the two support sections (140, 150).
[0033] When the top plate (210) of the cover is subjected to a downward external force, the leaf spring (310) of the buffer part (300) bends on the two support parts (140, 150) to buffer the external force and prevent damage to the bottom (100) and the cover (200). Therefore, the external force is not transmitted to the electrical cable (L), thus avoiding damage to the electrical cable (L).
[0034] Figure 3 This is a block diagram of an apartment electrical cable safety device in different embodiments of the present invention. The apartment electrical cable safety device (10) includes a bottom (100), a cover (200), a buffer (300), a moving track (430), a drive unit (not shown), and a camera (420), as well as a control unit. The control unit includes a processor, communication circuitry, and a memory.
[0035] Communication circuits can send information to or receive information from other electronic devices, and there are no restrictions on the types of communication supported by communication circuits.
[0036] The processor performs calculations based on data received via communication circuitry and / or data stored in memory, and transmits at least a portion of the calculation results to other electronic devices via communication circuitry or stores them in memory. In this specification, the description of the control unit performing an operation includes the processor performing calculations with reference to memory, or the processor controlling other components of the apartment electrical cable safety device (10) (e.g., communication circuitry) to perform the corresponding operation.
[0037] The processor may include a data learning unit and a data recognition unit. The data learning unit can generate a first artificial intelligence model based on a sensor database, as described later. This model, upon inputting date, day of the week, time, and sensor coordinates, can output predicted external forces corresponding to the sensor coordinates and time. The data recognition unit can preprocess the data and provide the preprocessed data to the data learning unit for learning.
[0038] At least one of the data learning unit and the data recognition unit can be implemented as a dedicated hardware chip for artificial intelligence, or it can be implemented as part of an existing general-purpose processor (such as an application processor (AP) or a central processing unit (CPU)) or a dedicated graphics processor.
[0039] According to different embodiments, with Figure 3 The data learning unit and data recognition unit shown in the figure are not included in the apartment electrical cable safety device (10). In the case of the data learning unit and data recognition unit, they can be installed in different electronic devices.
[0040] In this scenario, the data learning unit and the data recognition unit can be interconnected via wired or wireless means, allowing the model information generated in the data learning unit to be provided to the data recognition unit, or the data input into the data recognition unit to be provided to the data learning unit as additional learning data.
[0041] At least one of the data learning unit and the data recognition unit can be implemented as a software module. In this case, the software module can be stored in a computer-readable, non-transitory recording medium. At least a portion of the software module can be provided by an operating system (OS) or by a specific application.
[0042] Furthermore, according to different embodiments, Figure 3 At least some of the components of the processor, communication circuitry, and memory included in the control unit shown may be arranged outside the space surrounded by the bottom and the cover.
[0043] The memory can store a sensor database for associated storage of the date, day of the week, time, sensor coordinates, and measured external force data for each sensor. The measured external force refers to the maximum external force measured by the sensor within a specific time interval. The memory can store an image database containing a first image captured by the camera when no abnormality occurs in the apartment electrical cable safety device (10) (e.g., the apartment electrical cable safety device (10) is damaged). The memory can store a first database containing first scores corresponding to multiple sensors. The first database is not generated individually for each sensor, but rather a single database containing first scores calculated based on the combined external force measurements obtained from multiple sensors, generated for all sensors.
[0044] According to different embodiments, the processor can monitor the electrical cable safety device in an apartment building based on visual information acquired by a camera. Specifically, the processor can capture a second image of the interior of the electrical cable safety device using the camera. Then, the processor can determine whether the electrical cable safety device is damaged by comparing the second image with a first image stored in an image database. Various image processing techniques can be used to compare the first and second images. For example, the processor can extract features from the first and second images, determine the similarity between the second and first images based on these features, and determine that the electrical cable safety device is damaged when the minimum similarity is less than a predetermined value. For example, the processor can use an image classification model based on a convolutional neural network (CNN) to classify the second image to determine if there is an anomaly. Afterward, if the electrical cable safety device is determined to be damaged, the processor can send a warning message to an external device via a communication circuit. The external device can be a device used by the apartment manager or a device used by the apartment resident.
[0045] According to different embodiments, when using a camera for monitoring, the processor can flexibly adjust the camera's movement speed and shooting timing. In areas requiring more detailed shooting, the processor can control the camera's movement speed to slow down, increase the shooting frequency, or both simultaneously. In other words, the processor can determine the camera's control schedule as needed, increasing the number of shots in areas requiring more detailed shooting. The control schedule includes the camera's movement speed and shooting cycle. The processor can control the drive unit to move the camera according to the control schedule and control the camera to shoot according to the schedule.
[0046] The processor can generate a first artificial intelligence model based on a sensor database. This model, given the date, day of the week, time, and sensor coordinates as input, can output a predicted value of external force corresponding to the sensor coordinates and time. Various machine learning techniques can be used to generate the first artificial intelligence model. For example, at least one of recurrent neural networks (RNNs), convolutional neural networks (CNNs), artificial neural networks (ANNs), and Transformer models can be used for learning the first artificial intelligence model.
[0047] Then, the processor can, based on the first artificial intelligence model, target each of the multiple sensors (see reference). Figure 4 The processor uses sensors (410a, 410b, 410c) to acquire predicted external force values corresponding to the coordinates of each sensor within a specific first time period. Then, the processor can acquire measured external force values for that first time period from each of the multiple sensors (410a, 410b, 410c). Next, the processor can calculate the error between the measured external force values and the predicted external force values, and calculate a first score based on this error.
[0048] Then, the processor can, based on the first artificial intelligence model, target each of the multiple sensors (see reference). Figure 4 The processor uses sensors (410a, 410b, 410c) to acquire predicted external force values corresponding to the coordinates of each sensor within a specific first time period. Then, the processor can acquire measured external force values for that first time period from each of the multiple sensors (410a, 410b, 410c). Next, the processor can calculate the error between the measured external force values and the predicted external force values, and calculate a first score based on this error.
[0049] The first score P(i) corresponding to the i-th sensor can be determined by the weighted sum of the measured external force value M(i) and the error E(i) between the measured external force value and the predicted external force value. That is, the first score P(i) can be defined as in mathematical formula 1.
[0050] P(i) = k1×M(i) + k2×E(i)
[0051] In mathematical formula 1, M(i) is the external force measurement value of the i-th sensor in the first time period, E(i) is the error between the external force measurement value of the i-th sensor in the first time period and the external force prediction value of the i-th sensor in the first time period, k1 is a constant representing the weighting weight of M(i) on the first score, and k2 is a constant representing the weighting weight of E(i) on the first score.
[0052] The processor can then determine the control scheduling of the cameras within preset intervals on the movement tracks corresponding to the multiple sensors, based on the first score. For example, the control scheduling could be determined to cause the cameras to take more shots within the intervals corresponding to the sensors with higher first scores. Figure 4 In one example, assuming that in intervals a, b, and c, the sensor (410a) corresponding to interval a has the highest first score, the sensor (410b) corresponding to interval b has the lowest first score, and the first score corresponding to sensor (410c) is between the first scores corresponding to sensors (410a) and (410b), then the control scheduling could be: the camera takes pictures at a certain time period, and the camera's movement speed is slowest in interval a, fastest in interval b, and has a speed between the movement speeds in intervals a and b in interval c. In another example, the control scheduling could be: the camera moves at a certain speed, and the camera's shooting period is shortest in interval a, longest in interval b, and has a shooting period between the shooting periods in intervals a and b in interval c.
[0053] According to different embodiments, when the occupants of a residential unit change due to relocation or other reasons, thereby altering the environment within the unit, the processor can apply appropriate weights to the data in the first-score database to effectively predict external forces. For example, when the occupants of the residential unit where the apartment electrical cable safety device is located change during time period T1, when the processor obtains the predicted external force value at any time t from time T1 to the end of time period T1+T2, it assigns weights to the data acquired before the end of time period T1 contained in the sensor database. The weights are assigned to data acquired after time period T1 in the sensor database. The weights are determined by the parameters. Furthermore, when the processor acquires the predicted external force value at any time t after the time interval T1+T2, it can disregard data acquired before the end of time T1 contained in the sensor database. Here, T2 is a time interval of a predetermined size.
[0054] According to different embodiments, the processor can set intervals for the first score to determine the control scheduling of the camera. The processor can perform a mean-shift clustering algorithm on the data contained in the first database to calculate the number of intervals (n). Then, the processor can perform a k-means clustering algorithm on the data contained in the first database, classifying the data in the sensor database into n clusters, and calculating a center value for each of the n clusters, as well as an interval boundary value for determining whether the first score belongs to one of these n clusters. Here, the boundary value between two adjacent clusters can be the median of the maximum first score contained in the cluster corresponding to the smaller first score and the minimum first score contained in the cluster corresponding to the larger first score. The processor can then assign a priority score to each of the n clusters, with a higher priority score assigned to a higher center value. For example, the priority score can be proportional to the center value of the cluster. The processor can then determine the camera's control schedule, ensuring that the higher the priority score corresponding to the first score calculated by each of the multiple sensors, the more times the camera takes pictures within a preset interval on the movement track corresponding to that sensor. The control schedule includes the camera's movement speed and shooting cycle. The processor can control the drive unit to move the camera and control the camera to take pictures according to the control schedule.
[0055] As described above, embodiments of the present invention have been illustrated with reference to the accompanying drawings. However, those skilled in the art should understand that the present invention can be implemented in other specific forms without altering its technical concept or essential characteristics. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.
Claims
1. A safety device for electrical cables in an apartment building, characterized in that, include: The bottom part, which is arranged in the apartment, consists of a long strip-shaped base plate in the front-to-back direction, a first connecting part that protrudes upward and bends outward at both ends of the base plate to form a first slot together with the base plate, and two supporting parts that protrude upward from the base plate. The cover portion has an upwardly convex cross-section and is elongated in the front-back direction. It consists of a top plate and a second connecting portion that inserts into the first slot. The cover portion is connected to the bottom portion and covers the upper part of the bottom portion. A movable guide rail is formed above the first connecting part; The camera is located on the moving guide rail; The drive unit that moves the camera along the guide rail; The control unit that controls the operation of the drive unit; as well as The buffer section is fixed to the lower part of the top plate of the cover section, and when the cover section is connected to the bottom section, it is placed on the upper end of the support section of the bottom section. The electrical cables are housed between the bottom plate and the two support sections. The buffer consists of the following parts: a leaf spring placed on the upper end of the support when the cover part is connected to the bottom part; an attachment part connecting the leaf spring and the top plate; and multiple sensors arranged at equal intervals along the front-back direction of the leaf spring for measuring the external force applied to the leaf spring. The control unit includes a processor, communication circuitry, and memory. The memory includes an image database that stores the first images captured by the camera when no abnormalities have occurred. The processor is configured as follows: A second image was obtained by capturing images of the interior of the electrical cable safety device in the apartment using a camera. By comparing the second image with the first image stored in the image database, it can be confirmed whether the electrical cable safety device in the apartment is damaged; An apartment electrical cable safety device that sends a warning message to external equipment via a communication circuit when it is confirmed that the apartment's electrical cable safety device is damaged.
2. The apartment electrical cable safety device according to claim 1, Its features are, The memory includes a sensor database, which is used to associate and store the date, day of the week, time period, sensor coordinates, and measured external forces corresponding to multiple sensors. The processor is configured as follows: Based on the sensor database, a first artificial intelligence model is generated. When the date, day of the week, time period, and sensor coordinates are input, the model outputs the corresponding predicted value of external force based on the sensor coordinates and time period. Based on the first artificial intelligence model, the predicted external force value of each sensor coordinate within a specific first time period is obtained for multiple sensors. External force measurements are acquired from multiple sensors within the first time period. For each of the multiple sensors, a first fraction is calculated as a weighted sum of the magnitude of the measured external force and the error between the measured external force and the predicted external force. Based on the first score, the control and scheduling of the cameras are determined within a preset interval on the moving guide rails corresponding to each of the multiple sensors. The first score P(i) corresponding to the i-th sensor is determined by the following formula: P(i) = k1×M(i) + k2×E(i) M(i) is the external force measurement value of the i-th sensor in the first time period, E(i) is the error between the external force measurement value of the i-th sensor in the first time period and the external force prediction value of the i-th sensor in the first time period, k1 is a constant representing the weighting weight of M(i) on the first score, and k2 is a constant representing the weighting weight of E(i) on the first score.
3. The apartment electrical cable safety device according to claim 2, characterized in that, Specifically, when the occupant of the apartment unit where the electrical cable safety device is located changes during the T1 time period, the processor is configured as follows: When obtaining the predicted value of the external force at any time t from time T1 to the end of the time interval T1+T2, for the data acquired before the end of the time interval T1 contained in the sensor database, assign... The weights are assigned to data acquired after time period T1 in the sensor database. The weights; When obtaining the predicted value of the external force at any time t after the time interval T1+T2, the data acquired before the end of the time interval T1 contained in the sensor database are not considered, where T2 is an apartment electrical cable safety device with a time interval of a predetermined size.
4. The apartment electrical cable safety device according to claim 2, Its features are, in, The memory includes a first database that stores first scores corresponding to multiple sensors. The processor is configured as follows: Perform mean-shift clustering on the data contained in the first database and calculate the number of intervals (n); The k-means clustering algorithm is performed on the data contained in the first database to classify the data contained in the sensor database into n clusters. The center value is calculated for each of the n clusters, as well as the interval boundary value used to determine whether the first score belongs to one of these n clusters (the boundary value between two adjacent clusters is the median value between the maximum value of the first score contained in the cluster corresponding to the smaller first score and the minimum value of the first score contained in the cluster corresponding to the larger first score). Assign a priority score to each of the n clusters, with a higher priority score assigned to the cluster center value; determine the camera control scheduling so that the higher the priority score corresponding to the first score calculated by each of the multiple sensors, the more times the camera takes pictures within the preset interval on the moving guide rail corresponding to that sensor. An apartment electrical cable safety device that moves the camera according to the control and scheduling control drive unit and controls the camera to take pictures according to the control and scheduling control.
5. The apartment electrical cable safety device according to claim 4, characterized in that, in, Apartment electrical cable safety devices whose priority scores are proportional to the cluster center value.