Indoor public equipment linkage control method and device, computer equipment and medium

Abstract

The invention relates to an indoor public equipment linkage control method and device, computer equipment, a computer readable storage medium and a computer program product. Comprising the following steps: acquiring dynamic feature data and action timestamps from a first type of controlled subject; wherein the dynamic feature data at least comprises biological feature information of the target use subject; for the second detection device, linkage configuration information is generated according to the action timestamp, and the linkage configuration information at least comprises the target detection frequency; sending corresponding linkage configuration information to a second detection device to trigger the second detection device to detect the static feature data according to a mode indicated by the linkage configuration information; wherein the static feature data comprises the current state of the second type of controlled subject; and obtaining static characteristic data from the second detection device, and performing linkage control on the controlled cluster according to the biological characteristic information and the static characteristic data. By adopting the method, the data analysis cost of intelligent control of public places can be reduced.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to a method, device, computer equipment, storage medium and computer program product for linkage control of indoor public equipment. Background Art

[0002] With the development of intelligent control technology, relatively mature automatic control technology has emerged, which can meet the requirements of smart homes. However, the deployment of intelligent control systems in public places still faces significant challenges. Due to the large flow of people in public places, when dealing with large-scale flow of people, related technologies mainly rely on feature detection algorithms to obtain data in the environment.

[0003] However, due to the huge flow of people, the amount of data obtained by the system has also increased dramatically. When processing this data, the controller needs to accurately distinguish and identify the individual identity and the associated smart device corresponding to each set of data. This process requires the controller to have efficient data grouping and analysis capabilities. This makes the data analysis process time-consuming and the processing cost high when the relevant technology copes with such large-scale data processing. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for indoor public equipment linkage control that can reduce the data analysis cost of intelligent control of public places in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for linkage control of indoor public equipment, the method being applied to a first detection device that is communicatively connected to a controlled cluster, the controlled cluster comprising a first type of controlled subject and a second type of controlled subject, and the second type of controlled subject is communicatively connected to a corresponding second detection device; the method comprising: Acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; For the second detection device, generating linkage configuration information according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; Sending the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; The static feature data from the second detection device is acquired, and the controlled cluster is controlled in linkage according to the biometric feature information and the static feature data.

[0006] In one embodiment, the action timestamp is used to record the timing information of the dynamic feature data acquired by the first detection device; and generating linkage configuration information according to the action timestamp includes: Counting the acquisition time of the dynamic feature data according to the action timestamp to obtain a target periodic sequence; The target detection frequency is determined according to the target periodic sequence, and the target detection frequency is enabled to generate linkage configuration information.

[0007] In one embodiment, determining the target detection frequency according to the target periodic sequence includes: Calculating the average value of all detection cycles in the target cycle sequence to obtain an average cycle; Calculating a dynamic correction frequency according to preset correction parameters and the average period; The target detection frequency is determined according to the dynamic correction frequency.

[0008] In one embodiment, counting the acquisition time of the dynamic feature data according to the action timestamp to obtain a target periodic sequence includes: Counting the time intervals between the dynamic feature data acquisition times according to the action timestamp; When the time interval is less than or equal to a preset interval threshold, the time interval that meets the preset threshold condition is added as a valid acquisition period to the current target period sequence; When the time interval is greater than a preset interval threshold, the current target cycle sequence is cleared and a new target cycle sequence is created.

[0009] In one embodiment, the controlling the controlled cluster in linkage according to the biometric information and the static feature data includes: combining the dynamic feature data and the static feature data into target data according to the action timestamp; The controlled cluster is controlled in linkage according to the biometric information and the target data.

[0010] In one embodiment, combining the dynamic feature data and the static feature data into target data according to the action timestamp includes: According to the action timestamp, for the static feature data from the same second detection device, selecting the latest static feature data as target static feature data; The dynamic feature data and the target static feature data are combined into target data.

[0011] In a second aspect, the present application further provides an indoor public equipment linkage control device, the device being applied to a first detection device that is communicatively connected to a controlled cluster, the controlled cluster comprising a first type of controlled subject and a second type of controlled subject, and the second type of controlled subject is communicatively connected to a corresponding second detection device; the device comprising: An information acquisition module, used to acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; An information configuration module, configured to generate linkage configuration information for the second detection device according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; An information synchronization module, used to send the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; A linkage control module is used to obtain the static feature data from the second detection device and perform linkage control on the controlled cluster according to the biometric information and the static feature data.

[0012] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: Acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; For the second detection device, generating linkage configuration information according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; Sending the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; The static feature data from the second detection device is acquired, and the controlled cluster is controlled in linkage according to the biometric feature information and the static feature data.

[0013] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented: Acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; For the second detection device, generating linkage configuration information according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; Sending the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; The static feature data from the second detection device is acquired, and the controlled cluster is controlled in linkage according to the biometric feature information and the static feature data.

[0014] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor: Acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; For the second detection device, generating linkage configuration information according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; Sending the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; The static feature data from the second detection device is acquired, and the controlled cluster is controlled in linkage according to the biometric feature information and the static feature data.

[0015] The above-mentioned indoor public equipment linkage control method, device, computer equipment, storage medium and computer program product are applied to a first detection device that is communicatively connected to a controlled cluster. The first detection device is used as an information processing device. By acquiring dynamic feature data and action timestamps from a first type of controlled subject in the controlled cluster, biometric information and timestamp information of the target user subject are obtained. For a second detection device, linkage configuration information including at least a target detection frequency is generated according to the action timestamp. The detection frequency can be configured according to the timestamp information acquired by the first detection device, and the corresponding linkage configuration information is sent to the second detection device, that is, the frequency and other data configured by the first detection device are synchronized to the second detection device, so as to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information, and obtain the status information and other related information of the second type of controlled subject in the controlled cluster. Finally, the static feature data from the second detection device is acquired, and the controlled cluster is linkage controlled according to the biometric information and the static feature data. By adopting the above scheme, parameters such as the detection frequency of the second detection device can be dynamically configured according to the action information of the user of the indoor public equipment detected or received, so as to avoid the second detection device from outputting meaningless detection data, thereby reducing the amount of data analysis of the information processing equipment and greatly reducing the data processing cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 An application environment diagram of an indoor public equipment linkage control method in an embodiment; Figure 2 A schematic diagram of a flow chart of a method for controlling indoor public equipment linkage in one embodiment; Figure 3 This is a flow chart of step S204 of a method for controlling linkage of indoor public equipment in one embodiment; Figure 4 It is a structural block diagram of a linkage control device for indoor public equipment in one embodiment; Figure 5 is an internal structure diagram of a computer device in one embodiment; Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0019] The indoor public equipment linkage control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The data storage system can be used to store dynamic feature data, static feature data, action timestamps and other information. Among them, the terminal 102 can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0020] In an exemplary embodiment, Figure 2 As shown, a method for controlling indoor public equipment linkage is provided. Figure 1 Taking the server 104 in the example as an example, the method is applied to a first detection device connected to the controlled cluster communication, and includes the following steps S202 to S208. Among them: Step S202, obtaining dynamic feature data and action timestamps from the first type of controlled subjects.

[0021] Among them, the controlled cluster can be a cluster of indoor public equipment and facilities in various public places, such as financial service places, entertainment service places, etc. The first detection device, as the main detection device in the linkage control process, can be used to detect the movement line information of the controlled subject in the controlled cluster.

[0022] Exemplarily, the first detection device may include a data processing module and multiple detection devices distributed throughout the target public place. For example, it may include a ground pressure sensor for detecting the ground pressure value. When a user enters the public place, the ground pressure sensor in a preset area acts as a first-class controlled entity, which can detect the pressure value output by the ground pressure sensor in real time, and send the ground pressure value to the server 104 as the basis for generating dynamic feature data.

[0023] The dynamic feature data at least includes biometric information of the target user, and the action timestamp can be used to record the timing information of the dynamic feature data acquired by the first detection device.

[0024] Exemplarily, the server 104 can receive the pressure value output from the ground pressure sensor, thereby determining that a target user (such as a user of a public facility) has entered the current preset area, and generate biometric information of the target user based on the pressure value. At the same time, the server 104 can record the time when the ground pressure sensor detects the pressure value, generate an action timestamp, and store the action timestamp in correspondence with the dynamic feature information to form a set of dynamic data.

[0025] Step S204: for the second detection device, generate linkage configuration information according to the action timestamp.

[0026] The linkage configuration information at least includes the target detection frequency. Exemplarily, the linkage configuration information may also include the detection area range and the like.

[0027] Exemplarily, the second detection device can be used to detect the current state of the controlled subject, such as the height data of the lifting table, the opening data of the automatic curtains, and can also be used to detect other static feature data in the current target space, such as temperature, humidity, brightness and other data.

[0028] Exemplarily, the server 104 can analyze the traffic data of the current target user according to the action timestamp, that is, if the current human flow is large, the linkage configuration information is generated according to the mode of large human flow, such as increasing the detection frequency of the second detection device, expanding the detection area of ​​the second detection device, etc., so as to obtain more detection data; if the current human flow is small, the linkage configuration information is generated according to the mode of small human flow, such as reducing the detection frequency of the second detection device, narrowing the detection area of ​​the second detection device, etc., so as to reduce the output amount of detection data, reduce the detection cost, and at the same time reduce the data analysis cost of the first detection device, thereby improving data analysis efficiency.

[0029] Step S206: Send corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information.

[0030] The controlled subjects in the controlled cluster may further include a second type of controlled subjects, and the second type of controlled subjects are all communicatively connected with the corresponding second detection devices, and the static characteristic data include the current state of the second type of controlled subjects.

[0031] Exemplarily, the second type of controlled subject can be a lifting table, a lifting chair, automatic curtains, automatic dimming lights, etc. The server 104 can send corresponding linkage configuration information to the second detection device to enable the above-mentioned target detection frequency, as well as parameters such as the detection area range, to trigger the second detection device to detect the static feature data of the second type of controlled subject in the mode indicated by the linkage configuration information.

[0032] Step S208, acquiring static feature data from the second detection device, and performing linkage control on the controlled cluster according to the biometric feature information and the static feature data.

[0033] Exemplarily, the server 104 can combine the dynamic feature data with the static feature data into target data according to the action timestamp, and perform linkage control on the controlled cluster according to the biometric information and the target data, thereby controlling equipment such as lift tables, lift chairs, automatic curtains, automatic dimming lights, and completing lifting, dimming and other operations according to the currently acquired biometric information and static feature data.

[0034] Furthermore, the server 104 can also select the latest static feature data as the target static feature data for the static feature data from the same second detection device according to the action timestamp, and combine the dynamic feature data with the target static feature data into the target data, thereby removing unnecessary data, reducing the processing amount of the data processing module, and further reducing the data processing cost.

[0035] In the above-mentioned linkage control method for indoor public equipment, a first detection device is applied to the communication connection with the controlled cluster, and the first detection device is used as an information processing device. By acquiring dynamic feature data and action timestamps from the first type of controlled subjects in the controlled cluster, the biometric information and timestamp information of the target user subject are obtained. For the second detection device, linkage configuration information including at least the target detection frequency is generated according to the action timestamp, and the detection frequency can be configured according to the timestamp information acquired by the first detection device, and the corresponding linkage configuration information is sent to the second detection device, that is, the frequency and other data configured by the first detection device are synchronized to the second detection device, so as to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information, and obtain the status information and other related information of the second type of controlled subjects in the controlled cluster, and finally obtain the static feature data from the second detection device, and linkage control is performed on the controlled cluster according to the biometric information and the static feature data.

[0036] By adopting the above scheme, parameters such as the detection frequency of the second detection device can be dynamically configured according to the action information of the user of the indoor public equipment detected or received, so as to avoid the second detection device from outputting meaningless detection data, thereby reducing the amount of data analysis of the information processing equipment and greatly reducing the data processing cost.

[0037] Furthermore, by combining the dynamic feature data with the target static feature data into target data, different groups of reference data can be distinguished according to timestamps, thereby effectively distinguishing the data corresponding to different target users, and reducing the probability of interference between different user data to a certain extent.

[0038] In an exemplary embodiment, Figure 3 As shown, the action timestamp is used to record the timing information of the dynamic feature data acquired by the first detection device; step S204 includes steps S302 to S306. Among them: Step S302: Count the acquisition time of dynamic feature data according to the action timestamp to obtain a target periodic sequence.

[0039] For example, the server 104 can count the time intervals of adjacent dynamic feature data acquisition times according to the action timestamp. When the time interval is less than or equal to the preset interval threshold, the time interval that meets the preset threshold condition is added as a valid acquisition cycle to the current target cycle sequence; when the time interval is greater than the preset interval threshold, the current target cycle sequence is cleared and a new target cycle sequence is created, so that the data detection work can be stopped in time when the target public place is closed, further reducing the data processing cost.

[0040] Step S304, determining a target detection frequency according to the target period sequence, and enabling the target detection frequency to generate linkage configuration information.

[0041] Exemplarily, the server 104 can calculate the average value of all detection cycles in the target cycle sequence to obtain the average cycle, calculate the dynamic correction frequency according to the preset correction parameters and the average cycle, and determine the target detection frequency according to the dynamic correction frequency. For different second detection devices, the preset correction parameters may be different. The server 104 calculates the dynamic correction frequency according to the preset correction parameters, which can make the frequency data more targeted and adaptable, and further balance the relationship between reducing data processing costs and data analysis accuracy.

[0042] In another exemplary embodiment, the first detection device includes a data processing module and a plurality of detection devices distributed throughout the target public place, the detection device includes a ground pressure sensor for detecting the ground pressure value, when a user enters the public place, the ground pressure sensor in the preset area is a first type of controlled subject, which can detect the pressure value output by the ground pressure sensor in real time, and send the ground pressure value as the basis for generating dynamic feature data to the server 104. The server 104 receives the pressure value output by the ground pressure sensor, thereby determining that a target user has entered the current preset area, and generates the biometric information of the target user according to the pressure value. At the same time, the server 104 can record the time when the ground pressure sensor detects the pressure value, generate an action timestamp, and store the action timestamp in correspondence with the dynamic feature information to form a set of dynamic data associated with the user's height.

[0043] At the same time, the detection device also includes an optical distance sensor for detecting the height of the target user. When a user enters the public place, the optical distance sensor in the preset area is used as a first-class controlled entity to output the distance value in real time. The server 104 receives the value output from the optical distance sensor to determine the height of the target user in the current preset area. At the same time, the server 104 records the detection time of the optical distance sensor and generates an action timestamp. According to the action timestamp, this dynamic feature information is stored correspondingly with the above-mentioned dynamic data associated with the user's height to form a new set of dynamic data.

[0044] Next, the server 104 analyzes the traffic data of the current target user according to the above-mentioned action timestamp. When the current human flow is small, the server 104 generates linkage configuration information according to the mode of small human flow, reduces the detection frequency of the second detection device, and narrows the detection area of ​​the second detection device, thereby reducing the output amount of detection data. While reducing the detection cost, it can also reduce the data analysis cost of the first detection device and improve data analysis efficiency.

[0045] Finally, the server 104 activates the above-mentioned parameters such as the target detection frequency and the detection area range, triggers the second detection device to detect the static feature data of the second type of controlled subjects such as the lifting table, lifting chair, automatic curtain, automatic dimming lamp, etc. according to the mode indicated by the linkage configuration information, and selects the latest static feature data as the target static feature data for the static feature data from the same second detection device according to the action timestamp, and combines the dynamic feature data with the target static feature data into the target data. In this way, the devices such as the lifting table, lifting chair, automatic curtain, automatic dimming lamp, etc. are controlled to complete the lifting, dimming and other operations according to the currently acquired biometric information and static feature data.

[0046] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0047] Based on the same inventive concept, the embodiment of the present application also provides an indoor public equipment linkage control device for implementing the indoor public equipment linkage control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the indoor public equipment linkage control device provided below can refer to the limitations of the indoor public equipment linkage control method above, and will not be repeated here.

[0048] In an exemplary embodiment, Figure 4 As shown, a linkage control device for indoor public equipment is provided, which is applied to a first detection device that is communicatively connected to a controlled cluster, wherein the controlled cluster includes a first type of controlled subject and a second type of controlled subject, and the second type of controlled subject is communicatively connected to the corresponding second detection device; the device includes: an information acquisition module 402, an information configuration module 404, an information synchronization module 406 and a linkage control module 408, wherein: The information acquisition module 402 is used to acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric feature information of the target user subject; An information configuration module 404, configured to generate linkage configuration information for the second detection device according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; The information synchronization module 406 is used to send the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect the static feature data according to the mode indicated by the linkage configuration information; The linkage control module 408 is used to obtain static feature data from the second detection device and perform linkage control on the controlled cluster according to the biometric feature information and the static feature data.

[0049] In one embodiment, the action timestamp is used to record the timing information of the dynamic feature data acquired by the first detection device; the information configuration module 404 includes: A first processing unit, configured to count acquisition time of dynamic feature data according to action timestamps to obtain a target periodic sequence; The second processing unit is used to determine the target detection frequency according to the target period sequence, and enable the target detection frequency to generate linkage configuration information.

[0050] In one embodiment, the second processing unit is specifically used to: calculate the average value of all detection cycles in the target cycle sequence to obtain an average cycle; calculate the dynamic correction frequency according to the preset correction parameter and the average cycle; and determine the target detection frequency according to the dynamic correction frequency.

[0051] In one of the embodiments, the first processing unit is specifically used to: count the time intervals between adjacent dynamic feature data acquisition times according to the action timestamp; when the time interval is less than or equal to a preset interval threshold, add the time interval that meets the preset threshold condition as a valid acquisition period to the current target cycle sequence; when the time interval is greater than the preset interval threshold, clear the current target cycle sequence and create a new target cycle sequence.

[0052] In one embodiment, the linkage control module 408 includes: A data combining unit, used for combining the dynamic feature data and the static feature data into target data according to the action timestamp; A control unit is used to perform linkage control on the controlled cluster based on biometric information and target data.

[0053] In one of the embodiments, the data combination unit is specifically used to: select the latest static feature data as target static feature data for the static feature data from the same second detection device according to the action timestamp; combine the dynamic feature data and the target static feature data into target data.

[0054] Each module in the above-mentioned indoor public equipment linkage control device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0055] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store information such as dynamic feature data, static feature data and action timestamps. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for linkage control of indoor public equipment is implemented.

[0056] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for controlling the linkage of indoor public equipment is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0057] Those skilled in the art will understand that Figure 6The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0058] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0059] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0060] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0061] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0062] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0063] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0064] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for controlling indoor public equipment linkage, characterized in that: The method is applied to a first detection device that is communicatively connected to a controlled cluster, the controlled cluster includes a first type of controlled subject and a second type of controlled subject, and the second type of controlled subject is communicatively connected to a corresponding second detection device; the method includes: Acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; For the second detection device, generating linkage configuration information according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; Sending the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; The static feature data from the second detection device is acquired, and the controlled cluster is controlled in linkage according to the biometric feature information and the static feature data.

2. The method according to claim 1, characterized in that The action timestamp is used to record the timing information of the dynamic feature data acquired by the first detection device; and the generating linkage configuration information according to the action timestamp includes: Counting the acquisition time of the dynamic feature data according to the action timestamp to obtain a target periodic sequence; The target detection frequency is determined according to the target periodic sequence, and the target detection frequency is enabled to generate linkage configuration information.

3. The method according to claim 2, characterized in that The determining the target detection frequency according to the target periodic sequence includes: Calculating the average value of all detection cycles in the target cycle sequence to obtain an average cycle; Calculating a dynamic correction frequency according to preset correction parameters and the average period; The target detection frequency is determined according to the dynamic correction frequency.

4. The method according to claim 2, characterized in that: The step of counting the acquisition time of the dynamic feature data according to the action timestamp to obtain a target periodic sequence includes: Counting the time intervals between the dynamic feature data acquisition times according to the action timestamp; When the time interval is less than or equal to a preset interval threshold, the time interval that meets the preset threshold condition is added as a valid acquisition period to the current target period sequence; When the time interval is greater than a preset interval threshold, the current target cycle sequence is cleared and a new target cycle sequence is created.

5. The method according to any one of claims 1 to 4, characterized in that: The controlling the controlled cluster in linkage according to the biometric information and the static feature data includes: combining the dynamic feature data and the static feature data into target data according to the action timestamp; The controlled cluster is controlled in linkage according to the biometric information and the target data.

6. The method according to claim 5, characterized in that The combining the dynamic feature data and the static feature data into target data according to the action timestamp includes: According to the action timestamp, for the static feature data from the same second detection device, selecting the latest static feature data as target static feature data; The dynamic feature data and the target static feature data are combined into target data.

7. A linkage control device for indoor public equipment, characterized in that: The device is applied to a first detection device that is communicatively connected to a controlled cluster, the controlled cluster includes a first type of controlled subject and a second type of controlled subject, and the second type of controlled subject is communicatively connected to a corresponding second detection device; the device includes: An information acquisition module, used to acquire dynamic feature data and action timestamps from the first type of controlled subject; wherein the dynamic feature data at least includes biometric information of the target user subject; An information configuration module, configured to generate linkage configuration information for the second detection device according to the action timestamp, wherein the linkage configuration information at least includes a target detection frequency; An information synchronization module, used to send the corresponding linkage configuration information to the second detection device to trigger the second detection device to detect static feature data according to the mode indicated by the linkage configuration information; wherein the static feature data includes the current state of the second type of controlled subject; A linkage control module is used to obtain the static feature data from the second detection device, and to perform linkage control on the controlled cluster according to the biometric information and the static feature data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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