A process control system based on user identification

Abstract

The present invention relates to a process control system based on user identification; the adjustment system includes a registration unit, a monitoring unit, and a control unit; the registration unit is used to identify users entering the target venue; the monitoring unit is used to collect the temperature and flow rate of specified monitoring points in the heating device and transmit the collected data to the control unit; the control unit is communicatively connected to the registration unit and the monitoring unit, and controls and adjusts the operation of the above-mentioned units and devices; the adjustment system statistically analyzes the users entering the regional venue based on the registration module and predicts the usage in a subsequent period of time, and performs pre-adjustment through a buffer storage facility, so that the entire adjustment more precisely matches the result of user identification.

Description

Technical Field

[0001] The present invention relates to a control variable regulator (controller) and a control variable regulation system for controlling a widely installed device while transmitting and receiving control information in the fields of process control and the like. Specifically, it relates to a process control system based on user identification. Background Art

[0002] A control system refers to a management system composed of a control subject, a control object, and a control medium, which has its own goals and functions. A control system means that through it, any quantity of interest or variable in a machine, mechanism, or other device can be maintained and changed in the desired manner. A control system is also implemented to make the controlled object reach a predetermined ideal state. Many users of control systems directly correspond to users or people. Thus, in order to improve the user experience, the control of the control system needs to be improved based on user identification.

[0003] For example, the technical solution with the publication number CN108227520A proposes a control system and a control method for an intelligent device based on a panoramic interface. The control system includes a scene generation unit, and the scene generation unit includes a scene generation module and a scene storage module; a user terminal, which includes a user login module and a manipulation action recognition module. After logging in to the user login module, enter the user terminal system, connect to the scene storage module for data and read the information of the scene storage module, enter the selected virtual scene interface, and the manipulation action recognition module detects the trigger action of the virtual intelligent device. The control system for the intelligent device based on the panoramic interface of the present invention facilitates the realization of integrated, visual, and user-friendly operations, and can perform human-computer interaction through terminal display devices such as mobile phones and computers, which can promote the development of building intelligence and community intelligence. The technical solution with the publication number US20150220159A1 proposes a method and a system for device control based on computer vision, which includes detecting a user operating a device, determining the user identity based on image information, and personalizing the operation of the device based on the determined user identity, and a home or building items can be controlled based on the user identity according to a set of preferred parameters.

[0004] However, these existing technologies do not involve more detailed predictions based on user gender, age, or usage habits to improve the accuracy of usage prediction. Summary of the Invention

[0005] The object of the present invention is to provide a process control system based on user identification. The present invention adopts the following technical solutions:

[0006] A process control system based on user identification, the regulation system is connected to a heating device for regulating and controlling the working parameters in the heating, storage, and transmission links of the liquid in the heating device; the regulation system includes a registration unit, a monitoring unit, and a control unit;

[0007] The registration unit is used to identify users entering the target venue, including counting the number of users and their identity information;

[0008] The monitoring unit is used to collect the temperature and flow rate at the specified monitoring points in the heating device and transmit the collected data to the control unit;

[0009] The control unit is communicatively connected to the registration unit, the monitoring unit, and the heating device, and controls and regulates the operation of the above-mentioned units and devices;

[0010] Among them, the heating device includes at least one heat source, at least one heat exchanger, at least one buffer storage facility, and at least one mixer; the heating device also includes a first inlet for receiving the initial liquid with a temperature of T1 flowing in from the outside; and the heating device also includes a first outlet for outputting the finished liquid with a set temperature T ed The mixer has at least two liquid inlets and at least one liquid outlet, and the mixer is used to fully mix the initial liquid and the stored liquid; the buffer storage facility includes a pipeline for transporting the stored liquid with a temperature of T3 to the mixer; the mixer mixes the initial liquid and the stored liquid to obtain a mixed liquid with a temperature of T2 and transports the mixed liquid to the heat exchanger through a pipeline;

[0011] And, the registration unit predicts the usage demand in the venue and obtains a prediction result by obtaining the situation of users entering and leaving the target venue; based on the prediction result, the control unit sets the value of T2 and the actual heating power P of the heat source by obtaining the values of T1 and T3 in the current heating device; the mixer includes setting the mixing ratio of the initial liquid and the stored liquid according to the value of T2;

[0012] Optionally, the heat exchanger in the heating device is thermally coupled to the heat source, and the liquid flowing through the heat exchanger is heated by the thermal radiation of the heat source; the outlet of the heat exchanger is connected to the buffer storage facility and outputs the heated liquid with a temperature of T ed to the buffer storage facility; the heat exchanger is also connected to the first outlet, and the valve provided at the first outlet is controlled by the control unit to make the liquid flowing out of the heat exchanger be transported to the buffer storage facility or the first outlet;

[0013] Optionally, the registration unit includes an image sensor; the image sensor uses image recognition technology to obtain the user situation of entering and leaving the target venue, and performs one or more of the following image recognitions on the users entering and leaving the target venue: (1) entry and exit time; (2) number of people entering and leaving; (3) gender of the user; (4) identity of the user; by obtaining the user situation of entering and leaving the target venue, predict the usage Q of the target venue within a preset time period H;

[0014] Optionally, the monitoring unit includes a plurality of temperature sensors and flow sensors; the plurality of temperature sensors and flow sensors are arranged in each section of the pipeline of the heating device for monitoring the liquid temperature and flow rate passing through the pipeline; and the monitoring unit is connected to the control unit through a network for transmitting the collected data to the control unit;

[0015] Further, through the following calculation formula, based on the optimal working heating power of the heat source, set the actual heating power P of the heat source, so as to set the specific value of T2:

[0016]

[0017] Where the liquid is water, k is the heat exchange efficiency, indicating the heat exchange efficiency between the heat source and the heat exchanger, measured by tests; P is the actual heating power of the heat source, Cs is the specific heat capacity of water, ρ is the density of water; Q is the usage of the target venue within the preset time period H.

[0018] Advantages of the present invention:

[0019] 1. The process control system of the present invention predicts the hot water usage of the venue in a subsequent period based on the user situation of entering the target venue, and can make a more refined estimate of the user's more specific situation, such as making a more detailed prediction based on the user's gender, age, or usage habits, so as to improve the accuracy of usage prediction;

[0020] 2. The process control system of the present invention can set and change the working power of the heating heat source based on the predicted usage and the liquid storage volume in the buffer storage facility, so that when the heat source is a heat pump or other heat source with an optimal heating power point, it can work more preferentially at a high-efficiency power point;

[0021] 3. The process control system of the present invention can be installed when newly built, or added to an existing system, with wider applicability;

[0022] 4. The hardware modules and devices of the process control system of the present invention adopt modular design and cooperation, and can be flexibly optimized and changed through software and hardware in the later stage, saving a large amount of later maintenance and upgrade costs. Description of the Drawings

[0023] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but emphasis is placed on showing the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0024] Figure 1 Schematic diagram of the setting of the adjustment system according to the present invention;

[0025] Figure 2 Schematic diagram of the heating device in the embodiment of the present invention;

[0026] Figure 3 Schematic diagram of the check-in unit in the embodiment of the present invention.

[0027] Explanation of the reference numerals in the drawings: 10 - heating device; 20 - target location; 30 - first inlet; 40 - first outlet; 100 - check-in unit; 101 - heat source; 102 - heat exchanger; 103 - buffer storage facility; 104 - mixer; 200 - monitoring unit; 300 - control unit; 301 - first valve; 302 - second valve; 311 - third valve. Detailed implementation manners

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. For those skilled in the art, after referring to the following detailed description, other systems, methods and / or features of this embodiment will become obvious. It is intended that all such additional systems, methods, features and advantages are included in this specification, included within the scope of the present invention, and protected by the appended claims. Additional features of the disclosed embodiments are described in the following detailed description and will be obvious based on the following detailed description.

[0029] In the drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. indicating the orientation or positional relationship, they are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the drawings are only for illustrative purposes and cannot be understood as a limitation of this patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0030] Embodiment 1:

[0031] In the current society, there are a large number of places that require centralized heating, heating, and water supply, such as hotels, residential areas, apartments, etc.; these places are generally equipped with a heating system to heat water and supply it to the specific usage locations of users; traditional heating systems, especially those used for heating domestic water, have their input ends configured to receive water at normal temperature from the entrance of the water supply network and deliver the heated liquid to a buffer storage facility and / or a usage system, etc. at the exit;

[0032] Traditional systems generally heat domestic water in an instantaneous mode; such domestic water enters the heat exchanger supply system from water, with an average temperature of about 15°C (T1), and after flowing out of the heat exchanger, it is output to the usage system facility or stored in the buffer storage facility at a temperature of T ed Output to the usage system facility or stored in the buffer storage facility;

[0033] At the same time, current common hot water buffer storage facilities store hot water at a relatively high temperature, that is, usually the temperature of the liquid after heating is usually set to about 55°C to 60°C, and then it is transported to the buffer storage facility for temporary storage; and then it is mixed with cold water during use and supplied to users at a lower temperature, such as 36°C to 42°C; these traditional systems have some disadvantages; first, due to the rising energy costs, if implemented in this way; since the water is first heated to a high temperature and then mixed with cold water, a large amount of energy is wasted; furthermore, based on safety and energy consumption limitations, and with the continuous increase in the number of users in the area, it is impossible to quickly heat a large amount of hot water to the above-mentioned 55°C to 60°C in a short time; moreover, current systems widely adopt new energy designs such as heat pumps, solar energy, wind energy, and biogas energy. When adjusting to a high heating power, it is not the optimal point of their energy utilization rate, but according to the actual situation of new energy, there is a dynamic optimal point of energy utilization rate; therefore, it is necessary to design a control system that can be dynamically adjusted according to the actual needs of users and the heating power P and aims to optimize energy utilization rate; therefore, the following technical solutions are specifically proposed:

[0034] As shown in the appendix Figure 1 , a process control system based on user identification, the adjustment system is connected to a heating device 10 and is used to adjust and control the working parameters in the heating, storage, and transmission links of the water in the heating device 10; the adjustment system includes a retrieval unit 100, a monitoring unit 200, and a control unit 300;

[0035] The retrieval unit 100 is used to identify the users entering the target place 20, including counting the number of users and their identity information;

[0036] The monitoring unit 200 is used to collect the temperature and flow rate at the specified monitoring points in the heating device 10 and transmit the collected data to the control unit 300;

[0037] The control unit 300 is communicatively connected to the registration unit 100, the monitoring unit 200, and the heating device 10, and controls and adjusts the operations of the above-mentioned units and devices;

[0038] Among them, as shown in the appendix Figure 2 , the heating device 10 includes at least one heat source 101, at least one heat exchanger 102, at least one buffer storage facility 103, and at least one mixer 104; the heating device 10 further includes a first inlet 30 for receiving the initial liquid with a temperature of T1 flowing in from the outside; and the heating device further includes a first outlet 40 for outputting the finished liquid with a set temperature T ed ; the mixer 104 has at least two liquid inlets and at least one liquid outlet, and the mixer 104 is used to fully mix the initial liquid and the stored liquid; the mixer includes a pipeline connected to the first inlet 30 for receiving the initial liquid, and the flow rate of the initial liquid is controlled by a first valve 301; the buffer storage facility 103 includes a pipeline for delivering the stored liquid with a temperature of T3 to the heat exchanger 102, and the flow rate of the stored liquid is adjusted by controlling a second valve 302; the mixer 104 mixes the initial liquid and the stored liquid to obtain a mixed liquid with a temperature of T2 and delivers the mixed liquid to the heat exchanger 102 through a pipeline;

[0039] Optionally, a pipeline connected to the buffer storage facility 103 is provided in the inflow pipeline of the initial liquid and is controlled by a third valve 311, so that the initial liquid can enter the buffer storage facility to supplement the stock of the stored liquid in the buffer storage facility 103;

[0040] Moreover, the registration unit 100 predicts the usage demand in the venue and obtains a prediction result by acquiring the situations of users entering and leaving the target venue; based on the prediction result, the control unit sets the value of T2 and the actual heating power P of the heat source 101 by acquiring the values of T1 and T3 in the current heating device 10; the mixer 104 includes setting the mixing ratio of the original liquid and the stored liquid according to the value of T2;

[0041] Furthermore, the heat exchanger 102 in the heating device 10 is thermally coupled to the heat source 101, and the liquid flowing through the heat exchanger 102 is heated by the thermal radiation of the heat source 101; the outlet of the heat exchanger 102 is connected to the buffer storage facility 103 and outputs a liquid with a temperature of T edHeated liquid; the heat exchanger 102 is also connected to the first outlet, and the multi-way valve provided at the first outlet 40 is controlled by the control unit 300 so that the liquid flowing out of the heat exchanger 102 is transported to the buffer storage facility 103 or the first outlet;

[0042] Preferably, the registration unit 100 includes an image sensor; the image sensor obtains the user situation of entering and leaving the target place by using image recognition technology, and performs one or more of the following image recognitions on the users entering and leaving the target place: (1) entry and exit time; (2) number of people entering and leaving; (3) gender of the user; (4) identity of the user; by obtaining the user situation of entering and leaving the target place, predicting the usage Q of the target place within a preset time period H;

[0043] Preferably, the monitoring unit 200 includes a plurality of temperature sensors and flow sensors; the plurality of temperature sensors and flow sensors are arranged in each section of the pipeline of the heating device 10 for monitoring the liquid temperature and flow rate passing through the pipeline; and the monitoring unit 200 is connected to the control unit 300 through a network for transmitting the collected data to the control unit 300;

[0044] Preferably, through the following calculation formula, based on the optimal working heating power of the heat source, the actual heating power P of the heat source is set, so as to set the specific value of T2:

[0045]

[0046] Where k is the heat exchange efficiency, indicating the heat exchange efficiency between the heat source and the heat exchanger, measured by testing; P is the actual heating power of the heat source, Cs is the specific heat capacity of water, ρ is the density of water; Q is the usage of the target place within the preset time period H.

[0047] Embodiment 2:

[0048] This embodiment should be understood as including at least all the features of any one of the foregoing embodiments, and is further improved on this basis. In this embodiment, the control object selects the classic control object - the boiler as the control object of the system. However, it can be understood that this system can be fully used in more occasions. In this embodiment, the heating object is the water in the boiler;

[0049] Preferably, in order to improve the accurate prediction of the usage situation of users in the target place, in some embodiments, the following optimized implementation manner of the registration unit is proposed;

[0050] As shown in the appendix Figure 3 The registration unit includes a user information unit, an identification unit and a prediction unit that are connected and communicate with each other:

[0051] The user information unit is used to input, store, and provide user information within the venue; in some embodiments, it includes allowing users to pre-enter their usage habits, usage information, etc., to generate user usage records; the usage records include the specific items used by the user; for example, in the usage scenario of directly supplying hot water, it can record items such as the user using hot water for bathing, as well as the time and duration of bathing, which can be used as a basis for estimating the hot water consumption and usage time; for venues using hot water for central heating, it includes information such as the user's desired heating temperature and heating duration, so as to make a prediction basis for hot water consumption and usage time;

[0052] The identification unit is set at the main entrance of the venue or in public areas to obtain user identity information through face recognition; the identification unit includes: a high-definition image acquisition module, an infrared image acquisition module, and a data processing module; and both the high-definition image acquisition module and the infrared image acquisition module are connected to the data processing module;

[0053] The high-definition image acquisition module is used to acquire high-definition images of users;

[0054] The infrared image acquisition module is used to acquire infrared images of users;

[0055] The data processing module includes a face information recognition subunit;

[0056] The identification unit is used to identify the face information in the high-definition image; the identification unit compares the face information in the high-definition image and the infrared image with the user's standard face image stored in the user information unit to determine the identity of the person corresponding to the face information in the high-definition image and the infrared image; if there is a corresponding customer standard face image stored in the user information unit for the face information in the high-definition image and the infrared image, the corresponding person is a regular user of the venue, otherwise, the corresponding person is considered a stranger;

[0057] Among them, the user information unit also includes a detailed classification of various types of users within the venue. By identifying the face information of users by the identification unit, users are classified into corresponding personnel categories: strangers, regular users, and community staff;

[0058] Furthermore, the identification unit includes identifying users leaving the venue, so as to avoid the usage amount of users not in the venue from being calculated into the predicted total usage amount Q;

[0059] Further, the prediction unit is configured to extract the usage records of the corresponding users according to the user information identified by the identification unit; implement the prediction of the usage quantity Q. It should be noted that the total usage quantity Q is a prediction based on a preset time period H in the future. For example, at 18:00, the total usage quantity Q after H = 1 hour is predicted.

[0060] Further, the value of the preset time period H can be specifically set according to the usage record situation of the user. For example, in the actual statistical situation, when multiple users in the venue are actually using, their usage times are relatively regular and are all within an error of 1 hour from the recorded situation in the usage record, then the value of H can be set to 1 hour, and the total usage quantity Q can be calculated accordingly. However, if the difference between the usage time and the usage record is large, the value of H needs to be adjusted.

[0061] In some cases, including using deep learning methods, by combining the time when the user enters the venue and the user continuously updates the real usage time and usage quantity in the usage record, through big data analysis, a more accurate corrected usage record can be obtained.

[0062] In some embodiments, the calculation method of Q is as follows:

[0063]

[0064] In the above formula, I is the number of identifiable users, q i (H) is the predicted usage quantity of the i-th user in the H time period; n is the number of non-regular users staying in the venue during the H time period, and the non-regular users include strangers, community staff, or other unidentifiable personnel; p(H) is the predicted usage quantity estimate of non-regular users in the H time period, which is obtained by post-statistics of the usage quantities of multiple non-regular users; ε1 and ε2 are error coefficients, and the specific values of these two coefficients can be corrected through periodic real data statistics to ensure that the value Q has sufficient tolerance.

[0065] Embodiment 3:

[0066] This embodiment should be understood as including at least all the features of any of the foregoing embodiments and being further improved on this basis;

[0067] Based on the possible unstable factors of the usage quantity factors of users in the above venue, through a prediction method based on a long short-term memory neural network, multi-time period prediction of the usage quantities of users in the venue is performed;

[0068] The specific steps are as follows:

[0069] S1: Obtain the usage quantity data of users in the venue in the historical record, where the users include regular users and non-regular users;

[0070] S2: Normalize the overall historical usage data to obtain a training set;

[0071] S3: Construct a usage prediction neural network;

[0072] S4: Input the training set into the usage prediction neural network to obtain a usage optimization prediction model;

[0073] Step 5: Predict the usage within the next H time period at the venue through the trained usage optimization prediction model to generate a usage Q;

[0074] In step S1, the user usage obtained can be measured by a metering device set at the total usage entrance of each user, such as at the main water inlet pipe of each apartment; and in order to obtain sufficiently reliable data, it is required that the missing rate of the usage data is less than 15%, otherwise the flow data for that time period is discarded;

[0075] In step S2, after normalizing q i (H), preferably, group the data values of every three consecutive time points in the usage record as a training set to predict the data value of the next time point;

[0076] In step S3, the usage prediction neural network is implemented by an input layer, a hidden layer, and an output layer, where there are 6 neurons in the hidden layer;

[0077] In step S4, based on the custom parameters in the usage prediction neural network, input the training set prepared in step 2 into the usage prediction neural network to start training the usage optimization prediction model; perform forward calculation according to the following formula, reduce the loss function value through a long short-term memory optimizer, and update the weights and parameters ω f 、ω i 、ω l 、ωo, as well as the bias b of the optimizer f 、b i 、b c 、b o , obtain the learned network weight parameters, and complete the optimization training of the usage optimization prediction model,

[0078] Among them, the specific process of forward calculation is as follows:

[0079] Assume that in the dataset, the usage at the previous moment is q i (t - 1), and the usage at the current moment is q i (t), calculate the input gate F t l , the forget gate and the memory cell at the previous moment Then there is:

[0080] F t l = σ(ω f ·[q i (t - 1), q i (t)] + b f );

[0081]

[0082]

[0083] Wherein, σ() is the Sigmoid function, and tanh() is the hyperbolic tangent function;

[0084] Combined with the input gate F t l and the forget gate update the current memory cell

[0085]

[0086] Through the output gate Transfer to qi(t) at the current moment:

[0087]

[0088]

[0089] In the above formula, the symbol "⊙" represents element-wise multiplication in the matrix; through the above calculations, the predicted usage value of the i-th user is finally obtained.

[0090] In the above embodiments, the descriptions of the various embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0091] Although the present invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the present invention. That is, the methods, systems, and devices discussed above are examples. Various configurations can be appropriately omitted, replaced, or various processes or components can be added. For example, in an alternative configuration, the method can be executed in an order different from the described order, and / or various components can be added, omitted, and / or combined. Moreover, the features described with respect to certain configurations can be combined in various other configurations, such as different aspects and elements of the configurations can be combined in a similar manner. In addition, as technology develops, the elements therein can be updated, that is, many elements are examples and do not limit the scope of the present disclosure or the claims.

[0092] Specific details are given in the description to provide a thorough understanding of the exemplary configurations including the implementation. However, the configurations may be practiced without these specific details. For example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary details to avoid obscuring the configurations. The description provides only example configurations and does not limit the scope, applicability, or configurations of the claims. Instead, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made to the functions and arrangements of the elements without departing from the spirit or scope of the present disclosure.

[0093] In summary, it is intended that the foregoing detailed description be considered illustrative rather than restrictive, and it should be understood that the above embodiments should be construed as merely illustrative of the present invention and not as limiting the scope of the present invention. After reading the content described in the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A process control system based on user identification, characterized in that, The adjustment system is connected to a heating device and is used to adjust and control the working parameters in the heating, storage, and transmission processes of the liquid in the heating device; the adjustment system includes a retrieval unit, a monitoring unit, and a control unit; The retrieval unit is used to identify the users entering the target venue, including counting the number of users and their identity information. By obtaining the user situation entering and leaving the target venue, it predicts the usage quantity Q of the target venue within a preset time period H. The calculation method of Q is: ； where I is the number of identifiable users, q i (H) is the usage predicted by the i-th user in the preset time period H; n is the number of non-conventional users staying in the venue during the preset time period H, and the non-conventional users include strangers, community staff or other unidentifiable persons; p(H) is the predicted usage value of non-conventional users in the preset time period H, which is obtained by post-statistics of the usage of multiple non-conventional users; ε1 and ε2 are error coefficients, and the specific values of these two coefficients are corrected after periodic real data statistics; The monitoring unit is used to collect the temperature and flow rate at specified monitoring points in the heating device and transmit the collected data to the control unit; The control unit is communicatively connected to the retrieval unit, the monitoring unit, and the heating device, and controls and adjusts the operation of the above-mentioned units and devices; Among them, the heating device includes at least one heat source, at least one heat exchanger, at least one buffer storage facility, and at least one mixer; the heating device further includes a first inlet for receiving the initial liquid with a temperature of T1 flowing in from the outside; and the heating device further includes a first outlet for outputting the finished liquid with a set temperature T ed ; the mixer has at least two liquid inlets and at least one liquid outlet, and the mixer is used to fully mix the initial liquid and the stored liquid; the buffer storage facility includes conveying the stored liquid with a temperature of T3 to the mixer through a pipeline; the mixer mixes the initial liquid and the stored liquid to obtain a mixed liquid with a temperature of T2 and conveys the mixed liquid to the heat exchanger through a pipeline; Moreover, the retrieval unit predicts the usage demand in the venue and obtains the prediction result by obtaining the user situation entering and leaving the target venue; based on the prediction result, the control unit sets the value of T2 and the actual heating power P of the heat source by obtaining the values of T1 and T3 in the current heating device; the mixer includes setting the mixing ratio of the initial liquid and the stored liquid according to the value of T2.

2. The process control system based on user identification according to claim 1, wherein The heat exchanger in the heating device is thermally coupled to the heat source, and the liquid flowing through the heat exchanger is heated by the thermal radiation of the heat source; the outlet of the heat exchanger is connected to the buffer storage facility and outputs heated liquid at temperature T ed to the buffer storage facility; the heat exchanger is also connected to the first outlet, and the valve provided at the first outlet is controlled by the control unit so that the liquid flowing out of the heat exchanger is transported to the buffer storage facility or the first outlet.

3. The process control system based on user identification according to claim 2, wherein The retrieval unit includes an image sensor; the image sensor obtains the user situation entering and leaving the target venue by using image recognition technology and performs image recognition on one or more of the following for the users entering and leaving the target venue: (1) entry and exit time; (2) number of people entering and leaving; (3) gender of the user; (4) identity of the user.

4. The process control system based on user identification according to claim 3, characterized in that, The monitoring unit includes a plurality of temperature sensors and flow sensors; the plurality of temperature sensors and flow sensors are arranged in each section of the pipeline of the heating device to monitor the liquid temperature and flow rate passing through the pipeline; and the monitoring unit is connected to the control unit through a network for transmitting the collected data to the control unit.

5. The process control system based on user identification according to claim 4, wherein, Based on the following calculation formula, the actual heating power P of the heat source is set based on the optimal working heating power of the heat source, so as to set the specific value of T2: ； Where the liquid is water, k is the heat exchange efficiency, indicating the heat exchange efficiency between the heat source and the heat exchanger, which is measured through tests; P is the actual heating power of the heat source, Cs is the specific heat capacity of water, ρ is the density of water; Q is the usage quantity of the target venue within the preset time period H.

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