A weak current intelligent system integration method and a control method based on interactive feedback

Abstract

The present application discloses a method for integrating weak-current intelligent systems and a method for controlling according to interactive feedback. According to the method for integrating weak-current intelligent systems of the present application, there are multiple weak-current intelligent systems to be integrated, and a management platform is constructed for the weak-current intelligent systems to be integrated; the management platform divides the regions according to the first information of the weak-current intelligent systems received and the first location information of the sending base station to obtain several sub-regions. The present application integrates the management of weak-current intelligent systems within a certain range, integrates the first information of multiple weak-current intelligent systems into the management platform and visualizes it, so as to realize integrated supervision. And the first base station (i.e., the existing communication base station) is used to realize regional division, and the integrated management work can be completed by only installing communication modules in the multiple weak-current intelligent systems to be integrated and establishing their connection with the communication base station, so as to realize the integration of several weak-current intelligent systems in a low-cost manner.

Description

Technical Field

[0001] The present application relates to the field of weak-current intelligent systems, and in particular to a weak-current intelligent system integration method and a control method based on interactive feedback. Background Art

[0002] The weak-current intelligent systems for managing buildings are usually operated and managed independently. Since the weak-current intelligent systems of each building require separate software maintenance and management by professionals, the overall operating costs increase significantly, and independent data analysis and decision-making are required for each weak-current intelligent system. These cumbersome processes often lead to delayed decisions, making real-time adjustments and optimizations difficult to achieve. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a weak current intelligent system integration method and a control method based on interactive feedback.

[0004] In a first aspect, a method for integrating weak-current intelligent systems is disclosed, wherein there are multiple weak-current intelligent systems to be integrated, and each weak-current intelligent system has a label, and each weak-current intelligent system uses the current working status as the first information; a management platform is constructed for the weak-current intelligent systems to be integrated; each weak-current intelligent system corresponds to a first base station that is closest to itself, and each first base station receives the first information sent by one or more weak-current intelligent systems; there are multiple first base stations, and each first base station forwards the first information obtained by itself to the management platform; wherein each first information is accompanied by a label; the information of the location of each first base station is the first location information, and the first base station sends its own first location information to the management platform when forwarding the first information; the management platform distinguishes different weak-current intelligent systems according to the labels, and divides the areas according to the first information and the first location information received to obtain a number of sub-areas, and the divided sub-areas and the first information corresponding to each weak-current intelligent system are visualized on the management platform.

[0005] The effect is that this application integrates the management of weak-current intelligent systems within a certain range, integrates the first information of multiple weak-current intelligent systems into the management platform and visualizes it, and realizes integrated supervision. In addition, the first base station (i.e., the existing communication base station) is used to realize regional division. It only needs to install communication modules in multiple weak-current intelligent systems to be integrated and establish connections with the communication base station to complete the integrated management work, thus realizing the integration of several weak-current intelligent systems in a low-cost manner.

[0006] In a further embodiment, the sub-area division includes: initial division, in which the management platform classifies several weak-current intelligent systems with the same first location information into the same initial sub-area according to the labels; secondary division, assigning a priority coefficient to each weak-current intelligent system to obtain the priority density of each initial sub-area, and dividing the weak-current intelligent system with a high priority coefficient in the initial sub-area with a higher priority density into the adjacent initial sub-area with a lower priority density.

[0007] Furthermore, each weak-current intelligent system generates a series of first information according to the time series, and sends it to the management platform according to the time series, and the management platform obtains a series of first position information accordingly; the management platform determines whether the series of first position information corresponding to each weak-current intelligent system is consistent. If not, the corresponding weak-current intelligent system will be redundantly divided during the initial division, wherein the management platform selects different first position information in the series and assigns a redundant result to each first position information in the series; during the secondary division, the redundant redundant results are deleted and one weak-current intelligent system is retained to complete the division.

[0008] Furthermore, when performing the second division, the management platform identifies multiple redundant results of the same series and makes a judgment: if all redundant results are divided into the same sub-area during the second division, the redundant redundant results are deleted and a weak current intelligent system is retained to complete the division; if the redundant results are divided into different sub-areas during the second division, the one with the highest priority coefficient among the several redundant results is retained, and the other redundant results are deleted to complete the division.

[0009] Furthermore, the first information is input into a pre-trained classification model to obtain a classification result; and the classification result is visualized on a management platform.

[0010] Furthermore, the management platform performs data cleaning and low-pass filtering on the received first information.

[0011] Furthermore, when the management platform receives the first information, each piece of first information is converted into a standardized communication protocol.

[0012] Furthermore, the specific steps include: S100, building a management platform; S200, each weak current intelligent system uses the current working status as the first information, and each weak current intelligent system has a label, and the weak current intelligent system sends its own first information with the label to the first base station; S300, the first base station forwards all the first information obtained by itself to the management platform, and the first base station sends its own first location information to the management platform when forwarding the first information; S400, the management platform receives the first information and the first location information, and the management platform classifies the weak current intelligent systems corresponding to the first information with the same first location information into the same initial sub-area; S500, each weak current intelligent system generates a series of first information according to the time series information, and sends it to the management platform according to the time series, and the management platform obtains a series of first position information accordingly; the management platform determines whether the series of first position information corresponding to each weak-current intelligent system is consistent, if not, the corresponding weak-current intelligent system is redundantly divided during the initial division; S600, assigning a priority coefficient to each weak-current intelligent system, obtaining the priority density of each initial sub-area, and dividing the weak-current intelligent system with a high priority coefficient in the initial sub-area with a higher priority density in each adjacent initial sub-area: into the adjacent initial sub-area with a lower priority density to complete the secondary division and obtain a number of sub-areas; S700, visualizing the sub-areas and the first information corresponding to each weak-current intelligent system on the management platform.

[0013] On the second aspect, the present application also discloses a method for controlling based on interactive feedback, which is used to control the management platform constructed by the weak-current intelligent system integration method in the aforementioned embodiment, wherein each sub-area is constructed with a sub-management platform, the management platform sends visualization information to the sub-management platform, and the sub-management platform receives the visualization information and displays it; the sub-management platform is constructed with an interaction unit, and the interaction unit is used to receive user instructions; the sub-management platform controls all weak-current intelligent systems or electricity users in its corresponding sub-area according to user instructions.

[0014] In a further embodiment, the sub-management platform is further used to receive adjustment instructions input by the user, and the adjustment instructions are used to adjust the priority coefficients of each weak current intelligent system in the sub-area; wherein each sub-management platform has adjustment authority for the corresponding sub-area.

[0015] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0017] Figure 1 It is a schematic diagram of the communication between the weak current intelligent system, the first base station and the management platform in the weak current intelligent system integration method according to an embodiment of the present application;

[0018] Figure 2 is a flow chart of a weak current intelligent system integration method according to an embodiment of the present application;

[0019] Figure 3 It is a schematic diagram of the communication between the weak current intelligent system, the first base station, the management platform, and the sub-management platform in the method for controlling according to interactive feedback according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In the description of this specification, the description of reference terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction. In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0021] First, some terms in this application are explained:

[0022] The weak current intelligent system is a system that conducts comprehensive integrated management and control of various equipment in a building, such as power distribution, lighting, and communication system control. It usually integrates the control of power distribution control and communication automation and other electrical equipment in the building.

[0023] System operation status: whether the subsystems managed by the weak current intelligent system (such as communication system, power distribution system) are online, whether the operation is normal, whether there are any faults or abnormal alarms, etc.

[0024] Energy consumption data: The current energy consumption of the building corresponding to the weak current intelligent system, including power usage, efficiency of energy-saving mode, etc.

[0025] Equipment performance indicators: Specific performance data of various equipment in the building (such as communication equipment, lighting controllers, power distribution equipment, etc.), such as signal strength, voltage level, power consumption, etc.

[0026] Next, according to Figure 1-Figure 3 The invention describes a weak current intelligent system integration method and a method for controlling based on interactive feedback according to an embodiment of the present application.

[0027] According to the weak current intelligent system integration method of the embodiment of the present application, it can be combined with Figure 1 To understand and implement integrated management of several weak-current intelligent systems, so as to realize centralized management of target buildings and corresponding weak-current intelligent systems within a certain range.

[0028] Assign a label to each weak-current intelligent system, and each weak-current intelligent system uses the current working status as the first information; the aforementioned working status may include the operating status results collected by the weak-current intelligent system, energy consumption data, equipment performance indicators, etc. Build a management platform, which can be built based on any type of Internet of Things platform and distributed message system. Each weak-current intelligent system corresponds to a first base station that is closest to itself, and each first base station receives the first information sent by one or more weak-current intelligent systems; there are multiple first base stations, and each first base station forwards the first information it obtains to the management platform; wherein each first information is accompanied by a label. The management platform identifies different weak-current intelligent systems based on labels, and the first base station can be any type of communication base station for sending and receiving information. In addition, the weak-current intelligent system can be measured by any of time difference measurement, signal strength measurement, etc.

[0029] The information about the location of each first base station is the first location information. When the first base station forwards the first information, it sends its own first location information to the management platform. The first base station can retrieve its own preset location information as the first location information, or obtain it through detection. For example, the first location information can be obtained by obtaining its own location information through the GPS (satellite positioning) module of the base station.

[0030] It is worth noting that the first location information and the tag can be packaged with the first information and sent as accompanying information, for example, the first location information is packaged as field information and sent. In addition, each first information is accompanied by a tag and a first location information.

[0031] The management platform distinguishes different weak-current intelligent systems according to the labels, and divides the regions according to the first information and the first location information received to obtain several sub-regions, and visualizes the divided sub-regions and the first information corresponding to each weak-current intelligent system on the management platform.

[0032] It is understandable that this application integrates the management of weak-current intelligent systems within a certain range, integrates the first information of multiple weak-current intelligent systems into the management platform and visualizes it, and realizes integrated supervision. In addition, the first base station (i.e., the existing communication base station) is used to realize regional division. It is only necessary to install communication modules in multiple weak-current intelligent systems to be integrated and establish connections with the communication base station to complete the integrated management work, thus realizing the integration of several weak-current intelligent systems in a low-cost manner.

[0033] According to a further embodiment of the present application, and in combination with Figure 1-2 To understand, the process of sub-area division is explained in detail.

[0034] The sub-region division in the above-mentioned embodiment includes:

[0035] After initial division, the management platform classifies several weak current intelligent systems with the same first location information into the same initial sub-area according to the labels.

[0036] Specifically, the management platform extracts the label of each weak-current intelligent system and the first location information of each base station from the first information received from each first base station, and then compares the collected first location information, identifies and classifies the weak-current intelligent systems with the same or similar location information, and classifies those weak-current intelligent systems with similar geographical locations into the same initial sub-area based on the first location information. In some cases, if there are several different first location information that are too close, it means that several first base stations are close in location, and several weak-current intelligent systems corresponding to the close first base stations can be merged into one initial sub-area, and the duplicate weak-current intelligent systems are deleted after the merger.

[0037] It can be understood that the initial sub-areas obtained by the initial division indicate that these systems are close in physical space and are suitable to be managed as a unit in a centralized manner.

[0038] Perform secondary division, assign priority coefficients to each weak current intelligent system, and obtain the priority density of each initial sub-area. Among them, the priority coefficient is assigned by the user, and is allocated according to the power priority level of the integrated management area before building the management platform. The priority coefficient is obtained by experts scoring each building or building complex in many aspects. The specific priority coefficient is determined according to the specific situation and will not be elaborated here.

[0039] The priority coefficient is used to determine the priority of resource allocation for different weak current intelligent systems, so the priority density is used to indicate the priority of resource allocation for the corresponding initial sub-region. Since the number of weak current intelligent systems covered by each initial sub-region and the size of the corresponding regional range are different, it is necessary to comprehensively consider the number of weak current intelligent systems in the initial sub-region and the possible corresponding range to obtain the corresponding priority density.

[0040] Specifically, an initial sub-area corresponding to the j-th first base station is taken as an example for description.

[0041] In one example, the priority density is calculated. In this example, the number of weak current intelligent systems in the sub-area corresponding to the jth first base station is N. j , the priority coefficient of the i-th weak current intelligent system is P i,j， The distance from the i-th weak current intelligent system to the corresponding j-th first base station is D i,j。

[0042] The average distance barD from each weak current intelligent system in the initial sub-area to the first base station j for:

[0043]

[0044] The standard deviation of the distance σD j for:

[0045]

[0046] Calculate the priority density PD j .

[0047] The sum of the priority coefficients of all systems within the service range of the first base station S Pj for:

[0048]

[0049] Priority Density PD j for:

[0050]

[0051] In other examples, the priority density is calculated. First, the total number of all weak current intelligent systems in the sub-region and the sum of the priority coefficients corresponding to each weak current intelligent system in the sub-region can be calculated, and then the average of the priority coefficients in the sub-region is calculated based on the total number and the sum as the priority density. Among them, since the priority coefficient is a coefficient assigned by the user, it has a certain range and there will be no extreme data, so the average can well reflect its priority density.

[0052] The weak current intelligent system with a high priority coefficient in an initial sub-region with a higher priority density in each adjacent initial sub-region is divided into an adjacent initial sub-region with a lower priority density, so as to update the division result and obtain a plurality of sub-regions.

[0053] It is understandable that the distance between each weak current intelligent system and the first base station is used to calculate the priority density, and the initial sub-area division result can be adjusted based on the priority density to obtain the final sub-area division. This effectively avoids resource overload in some areas, and at the same time makes the division result obtained by the entire integrated method more in line with the actual situation, achieving more scientific and reasonable resource allocation and management.

[0054] In some embodiments, the communication location of some weak current intelligent systems is substantially consistent with the distance between two or more adjacent first base stations, so each weak current intelligent system generates a series of first information according to the time series, and sends it to the management platform according to the time series, and the management platform obtains a series of first location information accordingly. The series of first location information here means that each first information corresponds to one first location information, so the management platform will also receive a series of first location information.

[0055] The management platform determines whether a series of first location information corresponding to each weak-current intelligent system is consistent. If not, the corresponding weak-current intelligent system will be redundantly divided during the initial division, wherein the redundant division is: the first information corresponding to a weak-current intelligent system and the accompanying label are sent to multiple first base stations that obtain the first information.

[0056] The management platform selects different first position information in the series and assigns a redundant result to each first position information in the series; when performing secondary division, it deletes the redundant redundant results and retains a weak current intelligent system to complete the division.

[0057] More specifically, when performing the second division, the management platform identifies multiple redundant results of the same series and makes a judgment: if all redundant results are divided into the same sub-area during the second division, the redundant redundant results are deleted and a weak current intelligent system is retained to complete the division; if the redundant results are divided into different sub-areas during the second division, the one with the highest priority coefficient among the redundant results is retained, and the other redundant results are deleted to complete the division.

[0058] In other examples, the first information may be classified and then displayed, specifically, the first information is input into a pre-trained classification model to obtain a classification result. Further, since the first information received by each weak current intelligent system needs to be pre-processed, the management platform performs the following on the received first information:

[0059] Data cleaning and low-pass filtering are used to reduce electrical interference.

[0060] Furthermore, since the communication protocols adopted by various weak current intelligent systems are not uniform, when the management platform receives the first information, each first information is converted into a standardized communication protocol.

[0061] For example, weak current intelligent system A uses protocol A:

[0062] Data format: [timestamp] | [device ID (i.e. tag)] | [status code] | [energy consumption data]. For example, a specific encoding expression is: 2023 / 09 / 24 12:00:00 | 12345 | 00 | 150.

[0063] For example, the timestamp format is: YYYY / MM / DD hh:mm:ss.

[0064] For example, the status code includes 00 (normal operation), 01 (fault), and 02 (maintenance mode).

[0065] For example, the unit of energy consumption data is kilowatt-hour (kWh).

[0066] Weak current intelligent system B uses protocol B:

[0067] Data format: [Device identifier], [Log time], [Fault indication], [Power usage]. For example, a specific code is 67890, 09-24-2023:12-00, Normal, 540000000.

[0068] For example, the log time format is: MM-DD-YYYY:hh-mm.

[0069] For example, the fault indications include Normal, Fault, and Maintenance.

[0070] For example, the unit of power usage is joule (J).

[0071] The standardized communication protocol (i.e. target format) is:

[0072] Data format: [Device unique identifier] | [Uniform timestamp] | [Operation status] | [Uniform energy consumption data].

[0073] For example, timestamps are in the ISO 8601 format.

[0074] For example, the operating status is unified as: 0 (normal), 1 (fault), 2 (maintenance).

[0075] Energy consumption data is uniformly expressed in kilowatt-hours (kWh).

[0076] Then both protocol A and protocol B are converted into standard protocols. For better explanation, the conversion results of the above two exemplary situations are illustrated below.

[0077] Corresponding to the above exemplary encoding, protocol A is converted to: 12345 | 2023-09-24T12:00:00Z | 0 | 150

[0078] Corresponding to the aforementioned exemplary encoding, protocol B is converted to: 67890 | 2023-09-24T12:00:00Z | 0 | 150 (where 540000000J = 150 kWh).

[0079] The above content is only an example, and the field information contained in the exemplary content should not be understood as limiting the first information, the first position information and the label in the embodiments of the present application.

[0080] In a specific example, you can combine Figure 2 It is understood that the weak current intelligent system integration method may include the following steps:

[0081] S100. Build a management platform.

[0082] S200: Each weak current intelligent system uses the current working state as the first information, and each weak current intelligent system has a tag. The weak current intelligent system sends its own first information with the tag to the first base station.

[0083] S300: The first base station forwards all first information obtained by itself to the management platform. When forwarding the first information, the first base station also sends its own first location information to the management platform.

[0084] S400: The management platform receives the first information and the first location information, and classifies the weak current intelligent systems corresponding to the first information with the same first location information into the same initial sub-area.

[0085] S500. Each weak current intelligent system generates a series of first information according to a time sequence, and sends the first information to the management platform according to the time sequence, and the management platform correspondingly obtains a series of first position information.

[0086] The management platform determines whether a series of first position information corresponding to each weak-current intelligent system is consistent. If not, the corresponding weak-current intelligent system will be redundantly divided during the initial division, wherein the management platform selects different first position information in the series and assigns a redundant result to each first position information in the series; during the secondary division, the redundant redundant results are deleted and a weak-current intelligent system is retained to obtain the initial sub-area.

[0087] S600. Assign a priority coefficient to each weak-current intelligent system, obtain the priority density of each initial sub-area, and divide the weak-current intelligent system with a high priority coefficient in the initial sub-area with a higher priority density into the adjacent initial sub-area with a lower priority density to complete the secondary division and obtain several sub-areas.

[0088] S700. Visualize the first information corresponding to the sub-areas and each weak current intelligent system on the management platform.

[0089] Next, combine Figure 1-2 , and further combined Figure 3 A method for controlling according to interactive feedback according to an embodiment of the present application is described, which is used to control the management platform described in any of the aforementioned embodiments.

[0090] Each sub-area has a sub-management platform. The management platform sends visualization information to the sub-management platform, and the sub-management platform receives the visualization information and displays it.

[0091] In addition, the sub-management platform is constructed with an interaction unit, which is used to receive user instructions. The sub-management platform controls all weak current intelligent systems or power users in its corresponding sub-area according to the user instructions.

[0092] The user instructions are sent back to the corresponding weak-current intelligent system through the first base station, thereby remotely controlling the corresponding weak-current intelligent system.

[0093] Specifically, the instructions input by the user are converted into a specific command format on the sub-management platform, which is compatible with the communication protocol used by the weak current intelligent system. Subsequently, these instructions are sent to the first base station through a network (such as a local area network, the Internet). Each weak current intelligent system is equipped with a receiving module for receiving signals from the first base station. After receiving the signal, the device first decodes the signal to restore the original content of the user's instructions. The decoded instructions are executed by the control unit inside the weak current intelligent system. The execution result (such as the status of success or failure of the operation) can be encoded again and fed back to the sub-management platform through the first base station to notify the user.

[0094] The user here can be the administrator of the sub-area corresponding to the sub-management platform.

[0095] It is understandable that the sub-management platform of the present application can manage multiple weak current intelligent systems in the corresponding sub-areas, and various types of information (such as the first information, etc.) in the sub-areas are uniformly obtained by the management platform, and there is no need to set up a corresponding platform in each sub-area, which reduces the cost of building integrated management. In addition, the management platform can timely check the interactive instructions received from each sub-management platform to realize resource scheduling between each sub-area.

[0096] According to a further embodiment of the embodiment of the present application, the sub-management platform is also used to receive adjustment instructions input by the user, and the adjustment instructions are used to adjust the priority coefficients of each weak current intelligent system in the sub-area; wherein each sub-management platform has adjustment authority for the corresponding sub-area.

[0097] It is worth noting that the priority coefficient itself is a user-defined parameter, so adjusting the priority coefficient can adjust the area division of the sub-area. In combination with the content described in the above embodiment, the management platform will dynamically divide the sub-area according to the adjusted priority coefficient to update the sub-area division result.

[0098] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0099] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0100] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A weak current intelligent system integration method, characterized by: There are multiple weak current intelligent systems to be integrated, and each of the weak current intelligent systems has a label, and each weak current intelligent system uses the current working state as the first information; Build a management platform for the weak current intelligent system to be integrated; Each weak current intelligent system corresponds to a first base station which is closest to itself, and each of the first base stations receives the first information sent by one or more weak current intelligent systems; There are multiple first base stations, and each of the first base stations forwards the first information obtained by itself to the management platform; wherein each of the first information is accompanied by a label; The information about the location of each of the first base stations is the first location information, and when the first base station forwards the first information, it also sends its own first location information to the management platform; The management platform distinguishes different weak current intelligent systems according to the labels, and divides the regions according to the first information and the first location information received to obtain a plurality of sub-regions, and visualizes the divided sub-regions and the first information corresponding to each weak current intelligent system on the management platform; The sub-area division includes: Initial division, the management platform classifies a plurality of weak current intelligent systems with the same first location information into the same initial sub-area according to the tags; Secondary division, assigning a priority coefficient to each weak current intelligent system, calculating the average distance from each weak current intelligent system in the initial sub-area corresponding to the jth first base station to the first base station, and calculating the standard deviation σD of the distance according to the average distance j Calculate and obtain the priority coefficients S of all the weak current intelligent systems within the service range of the first base station Pj ; Obtain the priority density PD of each initial sub-area j for: In each of the adjacent initial sub-areas: the weak current intelligent system with a high priority coefficient in the initial sub-area with a higher priority density is divided into the adjacent initial sub-area with a lower priority density.

2. The weak current intelligent system integration method according to claim 1 is characterized by: Each of the weak current intelligent systems generates a series of first information according to a time sequence, and sends the first information to the management platform according to the time sequence, and the management platform correspondingly obtains a series of the first location information; The management platform determines whether a series of first location information corresponding to each weak current intelligent system is consistent. If not, the corresponding weak current intelligent system is redundantly divided during the initial division. The management platform selects different first position information in the series, and assigns a redundant result to each first position information in the series; When performing the secondary division, redundant results are deleted and one weak current intelligent system is retained to complete the division.

3. The weak current intelligent system integration method according to claim 2 is characterized by: When performing secondary division, the management platform identifies multiple redundant results of the same series and makes a judgment: If all the redundant results are divided into the same sub-area during the second division, the redundant redundant results are deleted and one weak current intelligent system is retained to complete the division; If the redundant results are divided into different sub-areas during the second division, the one with the highest priority coefficient among the redundant results is deleted, and the other redundant results are deleted to complete the division.

4. The weak current intelligent system integration method according to claim 1 is characterized by: Inputting the first information into a pre-trained classification model to obtain a classification result; The classification results are visualized on the management platform.

5. The weak current intelligent system integration method according to claim 1 is characterized by: The management platform performs data cleaning and low-pass filtering on the received first information.

6. The weak current intelligent system integration method according to any one of claims 1 to 5, characterized in that: When the management platform receives the first information, each piece of first information is converted into a standardized communication protocol.

7. The weak current intelligent system integration method according to any one of claims 1 to 5, characterized in that: The specific steps include: S100, build a management platform; S200, each of the weak current intelligent systems uses the current working state as the first information, and each of the weak current intelligent systems has a label, and the weak current intelligent system sends its own first information with the label to the first base station; S300: The first base station forwards all the first information obtained by itself to the management platform. When forwarding the first information, the first base station also sends its own first location information to the management platform; S400, the management platform receives the first information and the first location information, and the management platform classifies the weak current intelligent systems corresponding to the first information with the same first location information into the same initial sub-area; S500, each of the weak current intelligent systems generates a series of first information according to a time sequence, and sends the first information to the management platform according to the time sequence, and the management platform correspondingly obtains a series of the first location information; The management platform determines whether a series of first position information corresponding to each of the weak current intelligent systems is consistent, and if not, performs redundant division on the corresponding weak current intelligent system during the initial division; S600, assigning a priority coefficient to each of the weak current intelligent systems, obtaining a priority density of each of the initial sub-regions, and dividing the weak current intelligent systems with high priority coefficients in the initial sub-regions with higher priority density in adjacent initial sub-regions into the adjacent initial sub-regions with lower priority density to complete secondary division and obtain a plurality of the sub-regions; S700: Visualize the first information corresponding to the sub-area and each of the weak current intelligent systems on the management platform.

8. A method for controlling based on interactive feedback, characterized in that: A management platform for controlling the weak current intelligent system integration method constructed according to any one of claims 1 to 7, wherein Each of the sub-areas is constructed with a sub-management platform, the management platform sends visualization information to the sub-management platform, and the sub-management platform receives the visualization information and displays it; The sub-management platform is constructed with an interaction unit, and the interaction unit is used to receive user instructions; The sub-management platform controls all weak current intelligent systems or power users in the corresponding sub-area according to user instructions.

9. The method for controlling based on interactive feedback according to claim 8, characterized in that: The sub-management platform is also used to receive an adjustment instruction input by a user, and the adjustment instruction is used to adjust the priority coefficient of each of the weak current intelligent systems in the sub-area; Each of the sub-management platforms has the adjustment authority for the corresponding sub-area.

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