CN114198805B - Coal changes electricity heating management monitored control system based on cloud - Google Patents

Abstract

The present invention provides a coal-to-electricity heat supply management monitoring system based on cloud services. The comparison system includes a cloud server, an intelligent gateway, several coal heating monitoring modules, several electric heating monitoring modules, and several coal heating monitoring modules. and several electric heating monitoring modules are wirelessly connected to the cloud server through the intelligent gateway; several coal heating monitoring modules are used to collect the coal heating data of several coal heating users, and the collected coal heating data through the wireless The gateway is transmitted to the cloud server, and the present invention can make an intuitive comparison of energy consumption and safety before and after the coal-to-electricity conversion, and at the same time can improve the overall supervision after the coal-to-electricity conversion, so as to solve the comparison before and after the existing coal-to-electricity system There is a problem of insufficient coordination and supervision.

Description

A cloud service-based coal-to-electricity heat supply management monitoring system

technical field

The invention relates to the technical field of heat supply evaluation, in particular to a cloud service-based coal-to-electricity heat supply management and monitoring system.

Background technique

Coal-to-electricity refers to the replacement of traditional boilers fueled by coal with boilers based on clean energy such as electricity. There are two ways to replace the medium with electricity: replace the ordinary coal boiler with an electric boiler; or cut off the coal boiler and the original HVAC system, and replace the heating facilities such as electric heating film or heating cable. Taking the transformation of Beijing as an example, there are six important sources of PM2.5 in Beijing, namely soil dust, coal burning, biomass burning, vehicle exhaust and garbage incineration, industrial pollution and secondary inorganic aerosols, of which coal burning accounts for The ratio is about 18%. Coal burning pollution has had a huge impact on the formation of smog weather. It is understood that after 13 years of "coal-to-electricity" project, the total number of coal-to-electricity users in the city has reached 384,500.

In the existing technology, in the process of coal-to-electricity conversion, ordinary users do not have a good understanding of the benefits of coal-to-electricity conversion, and it is difficult to achieve the purpose of persuasion only through oral publicity by service personnel. The situation can be intuitively understood, and at the same time, the existing coal-to-electricity system is difficult to achieve overall management, resulting in certain technical obstacles to the process of coal-to-electricity conversion.

Contents of the invention

In view of the deficiencies in the existing technology, the purpose of the present invention is to provide a coal-to-electricity heat supply management monitoring system based on cloud services, which can make an intuitive comparison of energy consumption and safety before and after the coal-to-electricity transformation, and at the same time can improve Coordinated supervision after coal-to-electricity conversion to solve the problem of insufficient comparison and overall supervision of the existing coal-to-electricity system.

In order to achieve the above object, the present invention is achieved through the following technical solutions: a coal-to-electricity heating management monitoring system based on cloud services, the comparison system includes a cloud server, an intelligent gateway, several coal heating monitoring modules and Several electric heating monitoring modules, several coal heating monitoring modules and several electric heating monitoring modules are respectively connected wirelessly to the cloud server through the intelligent gateway;

Several coal heating monitoring modules are used to collect the coal heating data of several coal heating users, and transmit the collected coal heating data to the cloud server through the wireless gateway;

Several electric heating monitoring modules are used to collect the electric heating data of several electric heating users, and transmit the collected electric heating data to the cloud server through the wireless gateway;

The cloud server is used to compare and process the obtained coal heating data and electric heating data, obtain the efficiency and safety comparison results of coal heating and electric heating, and transmit the comparison results through the intelligent gateway to the user terminal.

Further, the cloud server is equipped with a cloud database, and the cloud database stores the heating data of several coal heating users and the heating data of the electric heating users, and the heating data of the coal heating users includes The distance of coal heating pipelines, the indoor area of coal heating users, the number of coal heating pipelines and the equipment failure frequency of coal heating users;

The heating data of the electric heating user includes the distance of the electric heating pipeline, the indoor area of the electric heating user, the number of the electric heating pipeline and the equipment failure frequency of the electric heating user.

Further, the coal heating monitoring module includes a coal usage monitoring unit, a coal heating flow monitoring unit, a coal heating output temperature monitoring unit, and a coal heating input temperature monitoring unit;

The coal consumption monitoring unit is used to monitor the total amount of coal used; the coal heating flow monitoring unit is used to monitor the coal heat supply of coal heating users; the coal heating output temperature monitoring unit is used to monitor coal supply Heat output temperature; the coal heating input temperature monitoring unit is used to monitor the temperature in the coal heating user's room.

Further, the electric heat supply monitoring module includes a power consumption monitoring unit, an electric heat supply output temperature monitoring unit, and an electric heat supply input temperature monitoring unit;

The power consumption monitoring unit is used to monitor the power consumption of electric heating users; the electric heating output temperature monitoring unit is used to monitor the output temperature of electric heating equipment; the electric heating input temperature monitoring unit is used to Monitor the temperature in the electric heating user's room.

Further, the cloud server is internally equipped with a model building module, and the model building module includes a coal heating model building unit and an electric heating model building unit;

The coal heating model construction unit is used to construct a coal heating model, and the coal heating model includes several coal heating sub-models, and the coal heating sub-model is constructed based on each coal heating user;

The electric heating model construction unit is used to construct the electric heating model, the electric heating model includes several electric heating sub-models, and the electric heating sub-model is constructed based on each electric heating user;

The coal heating model construction unit is configured with a coal heating sub-model construction strategy, and the coal heating sub-model construction strategy includes: classifying the coal heating users based on the indoor area of the coal heating users, classifying the coal heating users The coal heating users whose indoor area is smaller than the first area are classified as the first-level coal heating users, and then each time the first threshold area is increased, the class division is carried out;

Calculate coal heating efficiency and coal heating safety for coal heating users in each level, and calculate coal heating users' total coal consumption, coal heat supply, coal heating output temperature, and coal heating user Bring the indoor temperature into the coal heating efficiency formula to obtain the actual coal consumption value;

The distance of the coal heating pipeline of the coal heating user, the indoor area of the coal heating user, the number of coal heating pipelines and the equipment failure frequency of the coal heating user are brought into the coal heating safety formula to obtain the coal heating safety formula. Thermal Risk Value.

其中，Pmsx为煤实际消耗值，Msz为煤炭使用总量，Mgr为煤供热量，M1为煤炭使用量与煤供热量的转化系数，Tmsc为煤供热输出温度，Tmsr为煤供热用户室内的温度，a1为煤炭消耗系数，a2为煤供热温度转换系数，且M1、a1和a2均大于零；Further, the coal heating efficiency formula is configured as:

Among them, Pmsx is the actual coal consumption value, Msz is the total coal consumption, Mgr is the heat supplied by coal, M1 is the conversion coefficient between coal consumption and coal heat supply, Tmsc is the output temperature of coal heat supply, and Tmsr is the coal heat supply The temperature in the user's room, a1 is the coal consumption coefficient, a2 is the coal heating temperature conversion coefficient, and M1, a1 and a2 are all greater than zero;

其中，Pmfx为煤供热风险值，Jmgr为煤供热管路的距离，Bmgl为煤供热管路数量，Smm为煤供热用户的室内面积，Pmg为煤供热用户的设备故障频率，b1为煤供热参数转换系数，b2为煤供热故障转换系数，且b1和b2均大于零。The coal heating safety formula is configured as:

Among them, Pmfx is the risk value of coal heating, Jmgr is the distance of coal heating pipelines, Bmgl is the number of coal heating pipelines, Smm is the indoor area of coal heating users, Pmg is the equipment failure frequency of coal heating users, b1 is the conversion coefficient of coal heating parameters, b2 is the conversion coefficient of coal heating failure, and both b1 and b2 are greater than zero.

Further, the electric heating model construction unit is configured with an electric heating sub-model construction strategy, and the electric heating sub-model construction strategy includes: classifying the electric heating users based on the indoor area of the electric heating users, classifying the electric heating Electric heating users whose indoor area of heating users is smaller than the first area are divided into first-level electric heating users, and then the first threshold area is increased for each level division;

Calculation of electric heating efficiency and electric heating safety for electric heating users in each level, the power consumption of electric heating users, output temperature of electric heating equipment and indoor temperature band of electric heating users The actual consumption value of electricity can be obtained from the formula of heating efficiency of input electricity;

The distance of the electric heating pipeline of the electric heating user, the indoor area of the electric heating user, the number of the electric heating pipeline and the equipment failure frequency of the electric heating user are brought into the electric heating safety formula to obtain the electric heating safety formula. Thermal Risk Value.

其中，Pdsx为电实际消耗值，Lyd为用电量，Tdsc为电供热设备的输出温度，Tdsr为电供热用户室内的温度，a3为用电消耗系数，a4为电供热温度转换系数，且a3和a4均大于零；Further, the electric heating efficiency formula is configured as:

Among them, Pdsx is the actual consumption value of electricity, Lyd is the electricity consumption, Tdsc is the output temperature of the electric heating equipment, Tdsr is the indoor temperature of the electric heating user, a3 is the power consumption coefficient, and a4 is the electric heating temperature conversion coefficient , and both a3 and a4 are greater than zero;

其中，Pdfx为电供热风险值，Jdgr为电供热管路的距离，Bdgl为电供热管路数量，Sdm为电供热用户的室内面积，Pdg为电供热用户的设备故障频率，b3为电供热参数转换系数，b4为电供热故障转换系数，且b3和b4均大于零。The electric heating safety formula is configured as:

Among them, Pdfx is the risk value of electric heating, Jdgr is the distance of electric heating pipelines, Bdgl is the number of electric heating pipelines, Sdm is the indoor area of electric heating users, Pdg is the equipment failure frequency of electric heating users, b3 is the conversion coefficient of electric heating parameters, b4 is the conversion coefficient of electric heating failure, and both b3 and b4 are greater than zero.

Further, the cloud server is also equipped with a comparison module, and the comparison module is configured with a comparison strategy, and the comparison strategy includes: from the first-level coal heating user to the i-th coal heating user The data of the actual coal consumption value and the risk value of coal heating supply of n groups of coal heating sub-models are randomly selected respectively;

The total value of coal heating sampling consumption is obtained by adding the actual consumption values of several selected groups of coal, and the total value of coal heating sampling risk is obtained by adding the selected groups of coal heating risk values;

Bring the total value of coal heating sampling consumption into the first consumption comparison formula to obtain the first consumption comparison value; bring the total value of coal heating sampling risk into the first risk comparison formula to obtain the first risk comparison value;

Randomly select the data of the actual electricity consumption value and the electric heating risk value of n groups of electric heating sub-models from the first-level electric heating user to the i-th electric heating user;

Add the selected groups of actual consumption values of electricity to obtain the total value of electric heating sampling consumption, and add the selected groups of electric heating risk values to obtain the total value of electric heating sampling risk;

Bring the total value of electric heating sampling consumption into the second consumption comparison formula to obtain the second consumption comparison value; bring the total value of electric heating sampling risk into the second risk comparison formula to obtain the second risk comparison value;

The first consumption comparison value, the second consumption comparison value, the first risk comparison value and the second risk comparison value are sent to the user terminal through the intelligent gateway.

Further, the configuration of the first consumption comparison formula is: Pxh1=Zmxh×c1; the configuration of the first risk comparison formula is: Pfx1=Zmfx×d1; the configuration of the second consumption comparison formula is: Pxh2= Zdxh×c2; the configuration of the second risk comparison formula is: Pfx2=Zdfx×d2; wherein, Pxh1 is the first consumption comparison value, Zmxh is the total value of coal heating sampling consumption, and c1 is the total value of coal heating consumption Comparison coefficient, Pfx1 is the first consumption comparison value, Zmfx is the total value of coal heating sampling risk, d1 is the comparison coefficient of the total coal heating risk value, Pxh2 is the second consumption comparison value, Zdxh is the electric heating sampling The total value of consumption, c2 is the comparison coefficient of the total value of electric heating consumption, Pfx2 is the second comparison value of consumption, Zdfx is the total value of electric heating sampling risk, d2 is the comparison coefficient of the total value of electric heating risk, and c1, c2, d1, and d2 are each greater than zero.

Beneficial effects of the present invention: the present invention collects coal heating data of coal heating users before coal-to-electricity conversion, and then collects electric heating data of electric heating users after coal-to-electricity conversion, and then obtains The data is transmitted to the cloud server for processing, and the efficiency and safety comparison results of coal heating and electric heating are obtained, and the comparison results are transmitted to the user terminal through the intelligent gateway. This design can enable coal-to-electricity users to timely and accurately Understand the actual coal consumption and coal heating safety before coal-to-electricity conversion, as well as the actual electricity consumption and electric heating safety after coal-to-electricity conversion, so as to improve users' detailed understanding of coal-to-electricity conversion, and at the same time improve the understanding of coal-to-electricity The overall monitoring of the heating system ensures the safety of users.

Description of drawings

Other characteristics, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

Fig. 1 is the connection schematic diagram of the present invention and user terminal;

Fig. 2 is a functional block diagram of the present invention in embodiment one;

Fig. 3 is a functional block diagram of the present invention in the second embodiment.

Detailed ways

In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

Embodiment 1, please refer to Figure 1 and Figure 2, a coal-to-electricity heating management monitoring system based on cloud services, the comparison system includes a cloud server, an intelligent gateway, several coal heating monitoring modules and several electric heating The monitoring module, several coal heating monitoring modules and several electric heating monitoring modules are respectively wirelessly connected to the cloud server through the intelligent gateway. The cloud server is also equipped with a cloud database, and the cloud database is used for coal heating users and electric heating users. The user's basic heating parameter data is stored. The cloud database stores the heating data of several coal heating users and the heating data of electric heating users, and the heating data of coal heating users includes the distance of coal heating pipelines, the distance of coal heating users The indoor area, the number of coal heating pipelines, and the equipment failure frequency of coal heating users; the heating data of the electric heating users include the distance of the electric heating pipelines, the indoor area of the electric heating users, the electric heating pipe The number of circuits and the equipment failure frequency of electric heating users.

Several coal heating monitoring modules are used to collect the coal heating data of several coal heating users, and transmit the collected coal heating data to the cloud server through the wireless gateway; the coal heating monitoring module includes coal consumption Monitoring unit, coal heating flow monitoring unit, coal heating output temperature monitoring unit, and coal heating input temperature monitoring unit; the coal usage monitoring unit is used to monitor the total amount of coal usage, and the coal usage monitoring unit adopts weight The method is carried out, the total weight of the coal is weighed, and then the usage amount can be obtained by weighing the weight after use; the coal heating flow monitoring unit is used to monitor the coal heat supply of the coal heating user, and the coal supply The heat flow monitoring unit adopts a heat supply flow meter, and the heating generally adopts hot water supply; the coal heating output temperature monitoring unit is used to monitor the coal heating output temperature; the coal heating input temperature monitoring unit is used for Monitor the indoor temperature of coal heating users. The coal heating output temperature monitoring unit and the coal heating input temperature monitoring unit are monitored by temperature sensors.

Several electric heating monitoring modules are used to collect the electric heating data of several electric heating users, and transmit the collected electric heating data to the cloud server through the wireless gateway; the electric heating monitoring modules include power consumption A monitoring unit, an electric heating output temperature monitoring unit, and an electric heating input temperature monitoring unit; the power consumption monitoring unit is used to monitor the power consumption of electric heating users, and the power consumption monitoring unit is measured by an electric meter; The heating output temperature monitoring unit is used to monitor the output temperature of the electric heating equipment; the electric heating input temperature monitoring unit is used to monitor the temperature in the electric heating user's room. The electric heating output temperature monitoring unit and the electric heating input temperature monitoring unit are realized by temperature sensors.

The cloud server is used to compare and process the obtained coal heating data and electric heating data, obtain the efficiency and safety comparison results of coal heating and electric heating, and transmit the comparison results through the intelligent gateway to the user terminal.

The cloud server is internally equipped with a model building module, and the model building module includes a coal heating model building unit and an electric heating model building unit;

The coal heating model construction unit is used to construct a coal heating model, and the coal heating model includes several coal heating sub-models, and the coal heating sub-model is constructed based on each coal heating user;

The electric heating model construction unit is used to construct the electric heating model, the electric heating model includes several electric heating sub-models, and the electric heating sub-model is constructed based on each electric heating user;

The coal heating model construction unit is configured with a coal heating sub-model construction strategy, and the coal heating sub-model construction strategy includes: classifying the coal heating users based on the indoor area of the coal heating users, classifying the coal heating users The coal heating users whose indoor area is smaller than the first area are classified as the first-level coal heating users, and then each time the first threshold area is increased, the class division is carried out;

Calculate coal heating efficiency and coal heating safety for coal heating users in each level, and calculate coal heating users' total coal consumption, coal heat supply, coal heating output temperature, and coal heating user Bring the indoor temperature into the coal heating efficiency formula to obtain the actual coal consumption value;

The distance of the coal heating pipeline of the coal heating user, the indoor area of the coal heating user, the number of coal heating pipelines and the equipment failure frequency of the coal heating user are brought into the coal heating safety formula to obtain the coal heating safety formula. Thermal Risk Value.

其中，Pmsx为煤实际消耗值，Msz为煤炭使用总量，Mgr为煤供热量，M1为煤炭使用量与煤供热量的转化系数，Tmsc为煤供热输出温度，Tmsr为煤供热用户室内的温度，a1为煤炭消耗系数，a2为煤供热温度转换系数，且M1、a1和a2均大于零，通过a1能够将煤炭消耗数据进行转换，通过a2能够将煤供热相关的温度进行转换，形成可以相互转换匹配的数值。The coal heating efficiency formula is configured as:

Among them, Pmsx is the actual coal consumption value, Msz is the total coal consumption, Mgr is the heat supplied by coal, M1 is the conversion coefficient between coal consumption and coal heat supply, Tmsc is the output temperature of coal heat supply, and Tmsr is the coal heat supply The temperature in the user's room, a1 is the coal consumption coefficient, a2 is the coal heating temperature conversion coefficient, and M1, a1 and a2 are all greater than zero, the coal consumption data can be converted through a1, and the temperature related to coal heating can be converted through a2 Perform conversions to form values that can be converted to match each other.

当煤供热用户的设备故障频率越大时得到的煤供热风险值也越大，其中，Pmfx为煤供热风险值，Jmgr为煤供热管路的距离，Bmgl为煤供热管路数量，Smm为煤供热用户的室内面积，Pmg为煤供热用户的设备故障频率，b1为煤供热参数转换系数，b2为煤供热故障转换系数，且b1和b2均大于零，通过b1能够将煤供热相关的参数进行转换，通过b2能够将煤供热故障数据进行转换，形成能够互相比对计算的数值。The coal heating safety formula is configured as:

The higher the equipment failure frequency of coal heating users, the greater the risk value of coal heating, among which, Pmfx is the risk value of coal heating, Jmgr is the distance of coal heating pipeline, and Bmgl is the coal heating pipeline Quantity, Smm is the indoor area of coal heating users, Pmg is the equipment failure frequency of coal heating users, b1 is the conversion coefficient of coal heating parameters, b2 is the conversion coefficient of coal heating failures, and both b1 and b2 are greater than zero. b1 can convert parameters related to coal heating, and b2 can convert coal heating failure data to form values that can be compared and calculated with each other.

The electric heating model construction unit is configured with an electric heating sub-model construction strategy, and the electric heating sub-model construction strategy includes: classifying the electric heating users based on the indoor area of the electric heating users, classifying the electric heating users Electric heating users whose indoor area is smaller than the first area are classified as first-level electric heating users, and then the first threshold area is increased for each level of division;

Calculation of electric heating efficiency and electric heating safety for electric heating users in each level, the power consumption of electric heating users, output temperature of electric heating equipment and indoor temperature band of electric heating users The actual consumption value of electricity can be obtained from the formula of heating efficiency of input electricity;

The distance of the electric heating pipeline of the electric heating user, the indoor area of the electric heating user, the number of the electric heating pipeline and the equipment failure frequency of the electric heating user are brought into the electric heating safety formula to obtain the electric heating safety formula. Thermal Risk Value.

其中，Pdsx为电实际消耗值，Lyd为用电量，Tdsc为电供热设备的输出温度，Tdsr为电供热用户室内的温度，a3为用电消耗系数，a4为电供热温度转换系数，且a3和a4均大于零，通过a3能够将用电量进行转换，通过a4能够将电供热相关的输出温度和输入温度的温差进行转换，形成可以相互计算的数值；The electric heating efficiency formula is configured as:

Among them, Pdsx is the actual consumption value of electricity, Lyd is the electricity consumption, Tdsc is the output temperature of the electric heating equipment, Tdsr is the indoor temperature of the electric heating user, a3 is the power consumption coefficient, and a4 is the electric heating temperature conversion coefficient , and both a3 and a4 are greater than zero, the power consumption can be converted through a3, and the temperature difference between the output temperature and the input temperature related to electric heating can be converted through a4 to form a value that can be calculated mutually;

当电供热用户的设备故障频率越大时得到的电供热风险值也越大，其中，Pdfx为电供热风险值，Jdgr为电供热管路的距离，Bdgl为电供热管路数量，Sdm为电供热用户的室内面积，Pdg为电供热用户的设备故障频率，b3为电供热参数转换系数，b4为电供热故障转换系数，且b3和b4均大于零，通过b3能够将电供热的参数进行转换形成可以相匹配的数值，通过b4能够将电供热故障数据进行转换形成可以相匹配的数值。The electric heating safety formula is configured as:

When the equipment failure frequency of electric heating users is higher, the risk value of electric heating is also greater, where Pdfx is the risk value of electric heating, Jdgr is the distance of electric heating pipeline, and Bdgl is the electric heating pipeline Sdm is the indoor area of electric heating users, Pdg is the equipment failure frequency of electric heating users, b3 is the conversion coefficient of electric heating parameters, b4 is the conversion coefficient of electric heating failures, and both b3 and b4 are greater than zero. b3 can convert the parameters of electric heating into matching values, and b4 can convert the electric heating fault data into matching values.

The cloud server is also configured with a screening and sending module, and the screening and sending module is configured with a screening and sending strategy. The screening and sending strategy includes: obtaining the indoor area of the coal heating user, and then calling from the cloud server. The actual coal consumption value and coal heating risk value of the coal heating user at the same level as the heat user, and the actual electricity consumption value and electric heating risk value of the electric heating user, and the retrieved data will be sent to the user terminal. Users at the same level have similar indoor areas, so selecting coal heating data and electric heating data at the same level will be more informative.

Embodiment 2, please refer to Figure 1 and Figure 3. Embodiment 2 adds a comparison module in the cloud server on the basis of Embodiment 1. Compared with Embodiment 1, the comparison module adds coal heating users and The data sampling of electric heating users, by sampling and summarizing the same type of data, can improve the rationality of the comparison of the two data, thereby improving the comparison of the consumption and safety of the coal heating process and the electric heating process. accuracy.

The cloud server is also equipped with a comparison module, and the comparison module is configured with a comparison strategy, and the comparison strategy includes: randomly selecting from the first-level coal heating user to the i-th coal heating user The data of coal actual consumption value and coal heating risk value of coal heating sub-model of group n;

The total value of coal heating sampling consumption is obtained by adding the actual consumption values of several selected groups of coal, and the total value of coal heating sampling risk is obtained by adding the selected groups of coal heating risk values;

Bring the total value of coal heating sampling consumption into the first consumption comparison formula to obtain the first consumption comparison value; bring the total value of coal heating sampling risk into the first risk comparison formula to obtain the first risk comparison value;

From the first-level electric heat supply users to the i-th electric heat supply users, the data of the actual electricity consumption value and the electric heat supply risk value of n groups of electric heat supply sub-models are randomly selected; the total number of samples in this way is i multiplied by The value obtained by n. n is less than the number of data in the group with the smallest number in each group of data to ensure the effectiveness of sampling.

Add the selected groups of actual consumption values of electricity to obtain the total value of electric heating sampling consumption, and add the selected groups of electric heating risk values to obtain the total value of electric heating sampling risk;

Bring the total value of electric heating sampling consumption into the second consumption comparison formula to obtain the second consumption comparison value; bring the total value of electric heating sampling risk into the second risk comparison formula to obtain the second risk comparison value;

The first consumption comparison value, the second consumption comparison value, the first risk comparison value and the second risk comparison value are sent to the user terminal through the intelligent gateway.

The configuration of the first consumption comparison formula is: Pxh1=Zmxh×c1; the configuration of the first risk comparison formula is: Pfx1=Zmfx×d1; the configuration of the second consumption comparison formula is: Pxh2=Zdxh×c2 The configuration of the second risk comparison formula is: Pfx2=Zdfx×d2; wherein, Pxh1 is the first consumption comparison value, Zmxh is the total value of coal heating sampling consumption, and c1 is the comparison coefficient of coal heating consumption total value , Pfx1 is the first consumption comparison value, Zmfx is the total value of coal heating sampling risk, d1 is the comparison coefficient of the total coal heating risk value, Pxh2 is the second consumption comparison value, Zdxh is the total value of electric heating sampling consumption , c2 is the comparison coefficient of the total value of electric heating consumption, Pfx2 is the second consumption comparison value, Zdfx is the total value of electric heating sampling risk, d2 is the comparison coefficient of the total value of electric heating risk, and c1, c2, d1 and d2 are each greater than zero. Through c1 and c2, the total value of coal heating sampling consumption can be matched with the total value of electric heating sampling consumption, and through d1 and d2, the total value of coal heating sampling risk can be matched with the total value of electric heating sampling risk, ensuring two are comparable.

Working principle: Through several coal heating monitoring modules, the coal heating data of several coal heating users can be collected, and then the collected coal heating data can be transmitted to the cloud server through the wireless gateway, and the electric heating monitoring module can Collect the electric heating data of several electric heating users, and then transmit the collected electric heating data to the cloud server through the wireless gateway; then compare the obtained coal heating data and electric heating data through the cloud server Processing, to obtain the efficiency and safety comparison results of coal heating and electric heating, and transmit the comparison results to the user terminal through the intelligent gateway, so that coal-to-electricity users can timely and accurately understand the actual coal consumption before coal-to-electricity conversion and coal heating safety, as well as the actual consumption of electricity after coal-to-electricity conversion and the safety of electric heating supply, thereby improving users' detailed understanding of coal-to-electricity conversion, and at the same time improving the overall monitoring of the heating system after coal-to-electricity conversion, ensuring the user's safety.

Finally, it should be noted that: the above-described embodiments are only specific implementations of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting them, and the scope of protection of the present invention is not limited thereto, although referring to the foregoing The embodiment has described the present invention in detail, and those skilled in the art should understand that any person familiar with the technical field can still modify the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention Changes can be easily thought of, or equivalent replacements are made to some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of the present invention within the scope of protection. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (5)

1. A coal-to-electricity heating management monitoring system based on cloud services, characterized in that the comparison system includes a cloud server, an intelligent gateway, several coal heating monitoring modules and several electric heating monitoring modules, several coal heating monitoring modules The module and several electric heating monitoring modules are connected to the cloud server wirelessly through the intelligent gateway; Several coal heating monitoring modules are used to collect the coal heating data of several coal heating users, and transmit the collected coal heating data to the cloud server through the wireless gateway; Several electric heating monitoring modules are used to collect the electric heating data of several electric heating users, and transmit the collected electric heating data to the cloud server through the wireless gateway; The cloud server is used to compare and process the obtained coal heating data and electric heating data, obtain the efficiency and safety comparison results of coal heating and electric heating, and transmit the comparison results through the intelligent gateway to the user terminal; The cloud server is equipped with a cloud database, and the cloud database stores the heating data of several coal heating users and the heating data of the electric heating users, and the heating data of the coal heating users includes coal heating data. The distance of pipelines, the indoor area of coal heating users, the number of coal heating pipelines and the equipment failure frequency of coal heating users; The heating data of the electric heating user includes the distance of the electric heating pipeline, the indoor area of the electric heating user, the number of the electric heating pipeline and the equipment failure frequency of the electric heating user; The coal heating monitoring module includes a coal usage monitoring unit, a coal heating flow monitoring unit, a coal heating output temperature monitoring unit, and a coal heating input temperature monitoring unit; The coal consumption monitoring unit is used to monitor the total amount of coal used; the coal heating flow monitoring unit is used to monitor the coal heat supply of coal heating users; the coal heating output temperature monitoring unit is used to monitor coal supply Heat output temperature; the coal heating input temperature monitoring unit is used to monitor the indoor temperature of coal heating users; The electric heating monitoring module includes a power consumption monitoring unit, an electric heating output temperature monitoring unit, and an electric heating input temperature monitoring unit; The power consumption monitoring unit is used to monitor the power consumption of electric heating users; the electric heating output temperature monitoring unit is used to monitor the output temperature of electric heating equipment; the electric heating input temperature monitoring unit is used to Monitor the indoor temperature of electric heating users; The cloud server is internally equipped with a model building module, and the model building module includes a coal heating model building unit and an electric heating model building unit; The coal heating model construction unit is used to construct a coal heating model, and the coal heating model includes several coal heating sub-models, and the coal heating sub-model is constructed based on each coal heating user; The electric heating model construction unit is used to construct the electric heating model, the electric heating model includes several electric heating sub-models, and the electric heating sub-model is constructed based on each electric heating user; The coal heating model construction unit is configured with a coal heating sub-model construction strategy, and the coal heating sub-model construction strategy includes: classifying the coal heating users based on the indoor area of the coal heating users, classifying the coal heating users The coal heating users whose indoor area is smaller than the first area are classified as the first-level coal heating users, and then each time the first threshold area is increased, the class division is carried out; Calculate coal heating efficiency and coal heating safety for coal heating users in each level, and calculate coal heating users' total coal consumption, coal heat supply, coal heating output temperature, and coal heating user Bring the indoor temperature into the coal heating efficiency formula to obtain the actual coal consumption value; The distance of the coal heating pipeline of the coal heating user, the indoor area of the coal heating user, the number of coal heating pipelines and the equipment failure frequency of the coal heating user are brought into the coal heating safety formula to obtain the coal heating safety formula. thermal risk value; The coal heating efficiency formula is configured as:

Among them, Pmsx is the actual coal consumption value, Msz is the total coal consumption, Mgr is the heat supplied by coal, M1 is the conversion coefficient between coal consumption and coal heat supply, Tmsc is the output temperature of coal heat supply, and Tmsr is the coal heat supply The temperature in the user's room, a1 is the coal consumption coefficient, a2 is the coal heating temperature conversion coefficient, and M1, a1 and a2 are all greater than zero; The coal heating safety formula is configured as:

Among them, Pmfx is the risk value of coal heating, Jmgr is the distance of coal heating pipelines, Bmgl is the number of coal heating pipelines, Smm is the indoor area of coal heating users, Pmg is the equipment failure frequency of coal heating users, b1 is the conversion coefficient of coal heating parameters, b2 is the conversion coefficient of coal heating failure, and both b1 and b2 are greater than zero. 2. A cloud-based coal-to-electricity heat supply management and monitoring system according to claim 1, wherein the electric heat supply model building unit is configured with an electric heat supply sub-model construction strategy, and the electric heat supply model The thermal sub-model construction strategy includes: classifying the electric heating users based on the indoor area of the electric heating users, dividing the electric heating users whose indoor area is smaller than the first area into the first-level electric heating users, Then every time the first threshold area is increased, the division of grades is carried out; Calculation of electric heating efficiency and electric heating safety for electric heating users in each level, the power consumption of electric heating users, output temperature of electric heating equipment and indoor temperature band of electric heating users The actual consumption value of electricity can be obtained from the formula of heating efficiency of input electricity; The distance of the electric heating pipeline of the electric heating user, the indoor area of the electric heating user, the number of the electric heating pipeline and the equipment failure frequency of the electric heating user are brought into the electric heating safety formula to obtain the electric heating safety formula. Thermal Risk Value. 3. A cloud service-based coal-to-electricity heat supply management and monitoring system according to claim 2, wherein the electric heat supply efficiency formula is configured as:

Among them, Pdsx is the actual consumption value of electricity, Lyd is the electricity consumption, Tdsc is the output temperature of the electric heating equipment, Tdsr is the indoor temperature of the electric heating user, a3 is the power consumption coefficient, and a4 is the electric heating temperature conversion coefficient , and both a3 and a4 are greater than zero; The electric heating safety formula is configured as:

Among them, Pdfx is the risk value of electric heating, Jdgr is the distance of electric heating pipelines, Bdgl is the number of electric heating pipelines, Sdm is the indoor area of electric heating users, Pdg is the equipment failure frequency of electric heating users, b3 is the conversion coefficient of electric heating parameters, b4 is the conversion coefficient of electric heating failure, and both b3 and b4 are greater than zero. 4. A cloud service-based coal-to-electricity heat supply management and monitoring system according to claim 3, wherein a comparison module is also configured inside the cloud server, and the comparison module is configured with a comparison strategy , the comparison strategy includes: randomly selecting the coal actual consumption value and coal heating risk value data of n groups of coal heating sub-models from the first coal heating user to the i-th coal heating user; The total value of coal heating sampling consumption is obtained by adding the actual consumption values of several selected groups of coal, and the total value of coal heating sampling risk is obtained by adding the selected groups of coal heating risk values; Bring the total value of coal heating sampling consumption into the first consumption comparison formula to obtain the first consumption comparison value; bring the total value of coal heating sampling risk into the first risk comparison formula to obtain the first risk comparison value; Randomly select the data of the actual electricity consumption value and the electric heating risk value of n groups of electric heating sub-models from the first-level electric heating user to the i-th electric heating user; Add the selected groups of actual consumption values of electricity to obtain the total value of electric heating sampling consumption, and add the selected groups of electric heating risk values to obtain the total value of electric heating sampling risk; Bring the total value of electric heating sampling consumption into the second consumption comparison formula to obtain the second consumption comparison value; bring the total value of electric heating sampling risk into the second risk comparison formula to obtain the second risk comparison value; The first consumption comparison value, the second consumption comparison value, the first risk comparison value and the second risk comparison value are sent to the user terminal through the intelligent gateway. 5. A cloud-based coal-to-electricity heating management and monitoring system according to claim 4, characterized in that the first consumption comparison formula is configured as: Pxh1=Zmxh×c1; the first risk The comparison formula is configured as: Pfx1=Zmfx×d1; the second consumption comparison formula is configured as: Pxh2=Zdxh×c2; the configuration of the second risk comparison formula is: Pfx2=Zdfx×d2; wherein, Pxh1 is the first consumption comparison value, Zmxh is the total value of coal heating sampling consumption, and c1 is coal heating consumption Total value comparison coefficient, Pfx1 is the first consumption comparison value, Zmfx is the total value of coal heating sampling risk, d1 is the total value comparison coefficient of coal heating risk, Pxh2 is the second consumption comparison value, Zdxh is the electricity supply The total value of heat sampling consumption, c2 is the comparison coefficient of the total value of electric heating consumption, Pfx2 is the second consumption comparison value, Zdfx is the total value of electric heating sampling risk, d2 is the comparison coefficient of the total value of electric heating risk, and c1, c2, d1, and d2 are each greater than zero.

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