A remote control method and related system

Abstract

The present application provides a remote control method and a related system, wherein a biomass gasifier obtains first attribute information of a target biomass, determines a first working parameter corresponding to the first attribute information, and operates based on the first working parameter; a gas boiler obtains second attribute information of a biomass gas, determines a second working parameter corresponding to the second attribute information, operates based on the second working parameter, obtains target environmental parameters and third attribute information of the gas boiler, obtains temperature data and pressure data in the gas boiler, and sends the temperature data, pressure data, and target environmental parameters to a remote control device; the remote control device determines reference pressure data corresponding to the temperature data and the target environmental parameters, determines a preset deviation corresponding to the target environmental parameters and the third attribute information, determines a first deviation between the pressure data and the reference pressure data, and performs an early warning operation when the first deviation is greater than the preset deviation.

Description

Technical Field

[0001] The present application relates to the field of intelligent manufacturing technology or the field of marine fuel compound technology, and specifically to a remote control method and related systems. Background Art

[0002] In actual applications, there are many types of biomass, which are distributed in different places on the earth, such as crops, weeds, algae, wood, etc. Usually, biomass can be converted into biomass energy (biomass gas) through a biomass gasifier, and biomass energy can provide clean energy. Specifically, it first converts biomass into biomass gas, and then converts it into energy through a gas boiler. For example, a biomass ship uses biomass fuel (biomass) to convert it into biomass gas, and then the gas boiler converts the biomass gas into energy to provide power or kinetic energy for the ship. At present, gas boilers are also accompanied by some dangers in the process of energy conversion. Therefore, the problem of how to remotely warn gas boilers needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide a remote control method and a related system, which can provide remote early warning for gas boilers, for example, a remote early warning function for gas boilers of biomass ships.

[0004] In a first aspect, an embodiment of the present application provides a remote control system, the remote control system comprising: a biomass gasifier, a gas boiler, and a remote control device, wherein:

[0005] The biomass gasifier is used to obtain first attribute information of the target biomass, determine a first operating parameter corresponding to the first attribute information, and operate based on the first operating parameter to convert the target biomass into biomass gas;

[0006] The gas boiler is used to obtain second attribute information of the biomass gas, determine a second operating parameter corresponding to the second attribute information, operate based on the second operating parameter, convert the biomass gas into energy, obtain target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device;

[0007] The remote control device is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation.

[0008] In a second aspect, an embodiment of the present application provides a remote control method, which is applied to a remote control system, wherein the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, and the method includes:

[0009] The biomass gasifier obtains first attribute information of the target biomass, determines a first operating parameter corresponding to the first attribute information, and operates based on the first operating parameter to convert the target biomass into biomass gas;

[0010] The gas boiler obtains second attribute information of the biomass gas, determines a second operating parameter corresponding to the second attribute information, operates based on the second operating parameter, converts the biomass gas into energy, obtains target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtains temperature data and pressure data in the gas boiler, and sends the temperature data, the pressure data and the target environmental parameters to the remote control device;

[0011] The remote control device determines reference pressure data corresponding to the temperature data and the target environmental parameters, determines a preset deviation corresponding to the target environmental parameters and the third attribute information, determines a first deviation between the pressure data and the reference pressure data, and performs a warning operation when the first deviation is greater than the preset deviation.

[0012] In a third aspect, an embodiment of the present application provides a remote control device, which is applied to a remote control system, wherein the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the device includes: an acquisition unit, a collection unit, and an early warning unit, wherein:

[0013] The acquisition unit is used to acquire first attribute information of the target biomass through the biomass gasifier, determine a first operating parameter corresponding to the first attribute information, and operate based on the first operating parameter to convert the target biomass into biomass gas;

[0014] The acquisition unit is used to obtain the second attribute information of the biomass gas through the gas boiler, determine the second working parameter corresponding to the second attribute information, work based on the second working parameter, convert the biomass gas into energy, obtain the target environmental parameter and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameter to the remote control device;

[0015] The early warning unit is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters through the remote control device, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation.

[0016] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the second aspect of the embodiment of the present application.

[0017] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the second aspect of the embodiment of the present application.

[0018] In a sixth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the second aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0019] The implementation of the embodiments of the present application has the following beneficial effects:

[0020] It can be seen that the remote control method and related system described in the embodiments of the present application, the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the biomass gasifier is used to obtain the first attribute information of the target biomass, determine the first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas; the gas boiler is used to obtain the second attribute information of the biomass gas, determine the second working parameter corresponding to the second attribute information, work based on the second working parameter to convert the biomass gas into energy, obtain the target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; the remote control device is used to determine the temperature data and the target environmental parameters. The reference pressure data corresponding to the target environmental parameter is determined, the preset deviation corresponding to the target environmental parameter and the third attribute information is determined, and the first deviation between the pressure data and the reference pressure data is determined. When the first deviation is greater than the preset deviation, an early warning operation is performed. First, since the corresponding working parameters of the biomass gasifier are matched according to the characteristics of the biomass itself, the production efficiency of the biomass gas can be improved. Second, since the corresponding working parameters of the gas boiler are matched according to the characteristics of the biogas itself, the energy conversion efficiency of the biomass gas can be improved. Third, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler. If the pressure of the gas boiler exceeds the early warning line, an early warning operation can be performed. Thus, the gas boiler can be remotely warned to ensure the working safety of the gas boiler. For example, taking the remote control system of the biomass ship as an example, the remote early warning function can be realized through the remote control device. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a structural schematic diagram of a remote control system provided by an embodiment of the present application;

[0023] Figure 2 It is a flowchart of a remote control method provided in an embodiment of the present application;

[0024] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application;

[0025] Figure 4 This is a block diagram of the functional units of a remote control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in a possible example also includes steps or units that are not listed, or in a possible example also includes other steps or units inherent to these processes, methods, products or devices.

[0027] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] See also Figure 1 , Figure 1 : is a structural schematic diagram of a remote control system provided in an embodiment of the present application. As shown in the figure, the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein:

[0030] The biomass gasifier is used to obtain first attribute information of the target biomass, determine a first operating parameter corresponding to the first attribute information, and operate based on the first operating parameter to convert the target biomass into biomass gas;

[0031] The gas boiler is used to obtain second attribute information of the biomass gas, determine a second operating parameter corresponding to the second attribute information, operate based on the second operating parameter, convert the biomass gas into energy, obtain target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device;

[0032] The remote control device is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation.

[0033] In the embodiment of the present application, the target biomass may include at least one of the following: crops (straw, rice straw, cotton stalk, wheat straw, bean stalk, husk, etc.), wood, algae, weeds, etc., which are not limited here. The target biomass may be a crushed biomass raw material.

[0034] Among them, the first attribute information of the target biomass may include at least one of the following: biomass type of the target biomass, growth years of the target biomass, variety of the target biomass, biomass quality of the target biomass, degree of biomass dryness of the target biomass, degree of biomass crushing of the target biomass, density of the target biomass, origin of the target biomass, purity of the target biomass, etc., which are not limited here.

[0035] The biomass gas may include at least one of the following: carbon monoxide (CO), hydrogen (H2), methane (CH4), etc., which are not limited here.

[0036] In a specific implementation, the first operating parameter may include at least one of the following: operating mode, operating current, operating voltage, operating sequence, operating power, operating temperature, operating pressure, air supply efficiency, fluidization speed, etc., which are not limited here.

[0037] The second attribute information of the biomass gas may include at least one of the following: gas composition, dust distribution density, dust particle size of the gas, gas density, gas mass ratio value, etc., which are not limited here. Gas mass ratio value = gas mass in biomass gas / (gas mass in biomass gas + solid mass in biomass gas).

[0038] The target environmental parameters of the gas boiler may include at least one of the following: ambient temperature, ambient humidity, ambient magnetic field interference intensity, ambient pressure, ambient light brightness, geographical location, etc., which are not limited here.

[0039] Among them, the target environmental parameters may include target internal environmental parameters and target external environmental parameters. The target internal environmental parameters may be understood as environmental parameters inside the gas boiler, and the target internal environmental parameters may include at least one of the following: ambient temperature, ambient humidity, ambient magnetic field interference intensity, ambient pressure, ambient light brightness, geographical location, etc., which are not limited here. The target external environmental parameters may be understood as environmental parameters outside the gas boiler, and the external internal environmental parameters may include at least one of the following: ambient temperature, ambient humidity, ambient magnetic field interference intensity, ambient pressure, ambient light brightness, geographical location, etc., which are not limited here.

[0040] Among them, the third attribute information of the gas boiler may include at least one of the following: the volume of the gas boiler, the model of the gas boiler, the usage time of the gas boiler, the service life of the gas boiler, the maintenance record of the gas boiler, the internal structure parameters of the gas boiler, the thickness of the gas boiler, the pressure bearing capacity of the gas boiler, the sealing of the gas boiler, etc., which are not limited here.

[0041] In an embodiment of the present application, the biomass gasifier can obtain first attribute information of the target biomass, and can also pre-store a first mapping relationship between preset attribute information and working parameters, determine a first working parameter corresponding to the first attribute information based on the first mapping relationship, and work based on the first working parameter to convert the target biomass into biomass gas. Since the working parameters of the biomass gasifier are matched to the characteristics of the biomass itself, the production efficiency of the biomass gas can be improved.

[0042] Furthermore, the gas boiler can obtain second attribute information of the biomass gas, and can also pre-store a second mapping relationship between preset attribute information and working parameters, and then, can determine a second working parameter corresponding to the second attribute information based on the second mapping relationship, and work based on the second working parameter to convert the biomass gas into energy. Since the corresponding working parameters of the gas boiler are matched according to the characteristics of the biogas itself, the energy conversion efficiency of the biomass gas can be improved.

[0043] Next, the target environmental parameters and third attribute information of the gas boiler can also be obtained, and in the process of converting biomass gas into energy, the temperature data and pressure data in the gas boiler can be obtained, and the temperature data, pressure data and target environmental parameters can be sent to the remote control device. That is, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler.

[0044] Next, since the pressure bearing capacity of the gas boiler corresponding to different temperatures and environments is different, the remote control device can determine the reference pressure data corresponding to the temperature data and the target environmental parameters. Different environments and characteristics of the gas boiler will affect the pressure bearing capacity of the gas boiler. Therefore, the preset deviation corresponding to the target environmental parameters and the third attribute information can be determined, and then the first deviation between the pressure data and the reference pressure data can be determined. The first deviation = (pressure data-reference pressure data) / reference pressure data. When the first deviation is greater than the preset deviation, it means that the pressure of the gas boiler exceeds the warning line, and a warning operation can be performed. Thus, the gas boiler can be remotely warned to ensure the working safety of the gas boiler.

[0045] In a specific implementation, the remote warning may include at least one of the following: the remote control device may send remote warning information to the administrator, and may send a warning instruction to the gas boiler to prompt the corresponding on-site warning device of the gas boiler to perform a warning operation.

[0046] Among them, the mapping relationship between the preset deviation degree and the warning parameter can be pre-stored, and then, the first warning parameter corresponding to the first deviation degree can be determined, and remote warning can be performed according to the first warning parameter. The first warning parameter may include at least one of the following: warning method, warning level, warning duration, warning frequency, etc., which are not limited here. Then, the warning corresponding to the deviation degree can be determined to ensure the accuracy and efficiency of the warning, so that the gas boiler can be remotely warned to ensure the working safety of the gas boiler.

[0047] To give an example, taking the remote control system of a biomass ship as an example, it can realize the remote early warning function through the remote control equipment. The remote control equipment can make a remote early warning in the first time when a warning situation occurs on the biomass ship. The specific situation of the biomass ship can be known remotely, and the rescue dispatch function can be completed in time. It can also command the biomass ship to implement the corresponding early warning operation locally, thereby improving rescue efficiency and ensuring safety.

[0048] Of course, in the embodiments of the present application, the remote control system can be applied not only to biomass ships, but also to at least one of the following scenarios: power generation scenario, community heating scenario, steelmaking scenario, waste incineration scenario, etc., without limitation here.

[0049] Optionally, in terms of determining the reference pressure data corresponding to the temperature data and the target environmental parameter, the remote control device is specifically configured to:

[0050] determining initial pressure data corresponding to the temperature data;

[0051] Determining target optimization parameters corresponding to the target environmental parameters;

[0052] The initial pressure data is optimized according to the first optimization parameter to obtain the reference pressure data.

[0053] In the embodiment of the present application, since the pressure borne by the gas boiler is different at different temperatures, the mapping relationship between the preset temperature and the pressure can be pre-stored, and the initial pressure data corresponding to the temperature data can be determined based on the mapping relationship. Since the environmental parameters will also affect the pressure-bearing capacity of the gas boiler to a certain extent, the mapping relationship between the preset environmental parameters and the optimization parameters can be pre-stored, and then the target optimization parameters corresponding to the target environmental parameters can be determined based on the mapping relationship, and then the initial pressure data is optimized according to the first optimization parameter to obtain reference pressure data, that is, reference pressure data = (1 + first optimization parameter) * initial pressure parameter. In this way, not only can the corresponding bearing pressure be adapted according to the actual temperature, but also the influence of environmental factors can be considered to dynamically optimize the bearing pressure, so that the estimated bearing pressure depth conforms to the actual temperature and the actual environment. Therefore, not only can the gas boiler be remotely warned, but also accurate warning can be achieved to ensure the working safety of the gas boiler.

[0054] Optionally, the initial pressure data is optimized according to the first optimization parameter to obtain the reference pressure data, and the remote control device is specifically used to:

[0055] Determining a target delivery pipeline between the biomass gasifier and the gas boiler;

[0056] determining target pipeline parameters corresponding to the target delivery pipeline;

[0057] Determining target biomass gas input parameters of the gas boiler;

[0058] determining a first influencing parameter corresponding to the target biomass gas input parameter;

[0059] Determining a second influencing parameter corresponding to the target pipeline parameter;

[0060] Optimize the first optimization parameter according to the first influencing parameter and the second influencing parameter to obtain a second optimization parameter;

[0061] The initial pressure data is optimized according to the second optimization parameter to obtain the reference pressure data.

[0062] The target pipeline parameters may include at least one of the following: pipeline material, pipeline structure, pipeline sealing, pipeline thermal conductivity, pipeline length, pipeline diameter, pipeline thickness, etc., which are not limited here.

[0063] The target biomass gas input parameter of the gas boiler may include at least one of the following: target biomass gas input rate, target biomass gas input temperature, target biomass gas input pressure, target biomass gas input purity, etc., which are not limited here.

[0064] In a specific implementation, the target delivery pipeline between the biomass gasifier and the gas boiler can be determined, as well as the target pipeline parameters corresponding to the target delivery pipeline. The target biomass gas input parameters of the gas boiler can also be determined, and the mapping relationship between the preset biomass gas input parameters and the influencing parameters can be pre-stored. Then, the first influencing parameter corresponding to the target biomass gas input parameter can be determined based on the mapping relationship. The mapping relationship between the preset pipeline parameters and the influencing parameters can also be pre-stored. Then, the second influencing parameter corresponding to the target pipeline parameter can be determined based on the mapping relationship. Then, the first optimization parameter is optimized according to the first influencing parameter and the second influencing parameter to obtain the second optimization parameter, that is, the second optimization parameter = (1 + first influencing parameter) * (1 + second influencing parameter) )*the first optimization parameter, and then optimize the initial pressure data according to the second optimization parameter to obtain the reference pressure data, that is, the reference pressure data = (1+the second optimization parameter)*initial pressure parameter. Since the material gas input parameter affects the pressure bearing capacity of the gas boiler to a certain extent, and since the biomass gasifier and the gas boiler are connected through the target transmission pipeline, the pipeline characteristics also affect the pressure bearing capacity of the gas boiler to a certain extent. Then, the material gas input parameter and the pipeline parameter are deeply optimized to make the estimated pressure bearing depth conform to the optimization parameters corresponding to the actual temperature and the actual environment, so that the final optimization parameters not only conform to the actual temperature and the actual environment but also conform to its connection structure, thereby, the gas boiler can be further accurately remotely warned to ensure the working safety of the gas boiler.

[0065] Optionally, the target environment parameter includes a target internal environment parameter and a target external environment parameter; in determining a preset deviation corresponding to the target environment parameter and the third attribute information, the remote control device is specifically used to:

[0066] determining an initial deviation corresponding to the target internal environment parameter;

[0067] Determining a first adjustment parameter corresponding to the third attribute information;

[0068] Determining a first fine-tuning parameter corresponding to the target external environment parameter;

[0069] The initial deviation is adjusted according to the first adjustment parameter and the first fine-tuning parameter to obtain the preset deviation.

[0070] In the embodiment of the present application, the target environment parameters include target internal environment parameters and target external environment parameters. In a specific implementation, the mapping relationship between the preset internal environment parameters and the deviation degree can be pre-stored, and then the initial deviation degree corresponding to the target internal environment parameters can be determined based on the mapping relationship. The mapping relationship between the preset attribute information and the adjustment parameter can also be pre-stored, and then the first adjustment parameter corresponding to the third attribute information can be determined based on the mapping relationship. The mapping relationship between the preset external environment parameters and the fine-tuning parameter can also be pre-stored, and then the first fine-tuning parameter corresponding to the target external environment parameter can be determined based on the mapping relationship. Finally, the initial deviation degree can be adjusted according to the first adjustment parameter and the first fine-tuning parameter to obtain the preset deviation degree, that is, the preset deviation degree = (1 + first adjustment parameter) * (1 + first fine-tuning parameter) * initial deviation First, since the preset deviation reflects the pressure-bearing capacity of the gas boiler to a certain extent, and the internal environmental parameters directly determine the pressure-bearing capacity of the gas boiler, it means that the internal environmental parameters restrict the deviation to a large extent. Secondly, the third attribute information of the gas boiler also affects its own pressure-bearing capacity to a certain extent. Thirdly, the external environmental parameters also have an impact on the pressure-bearing capacity of the gas boiler to a certain extent, but the impact of the external environmental parameters is less than the restriction of the gas boiler's own characteristics. Therefore, the preset deviation can be dynamically optimized based on the internal and external environmental parameters and the gas boiler's own properties, which can make the deviation threshold (preset deviation) more in line with the actual situation, and can further accurately perform remote early warning on the gas boiler to ensure the working safety of the gas boiler.

[0071] Optionally, the remote control device is further specifically used for:

[0072] Fitting is performed according to the temperature data to obtain a temperature change straight line and a temperature change curve;

[0073] Obtaining a first slope corresponding to the temperature change straight line;

[0074] Determine a first mean square error according to the temperature variation curve;

[0075] Fitting is performed according to the pressure data to obtain a pressure change straight line and a pressure change curve;

[0076] Obtaining a second slope corresponding to the pressure variation straight line;

[0077] Determining a second mean square error according to the pressure variation curve;

[0078] determining a second deviation between the first slope and the second slope;

[0079] determining a third deviation between the first mean square error and the second mean square error;

[0080] When the second deviation is not within the first preset range and the third deviation is not within the second preset range, the step of determining reference pressure data corresponding to the temperature data and the target environmental parameter is performed.

[0081] The first preset range and the second preset range may be preset or set by system default.

[0082] In an embodiment of the present application, the temperature data may include temperature data within a period of time, and each temperature data may correspond to a sampling moment. Furthermore, the temperature data and the corresponding sampling moment may be regarded as a coordinate point, which may be mapped in a two-dimensional coordinate system, wherein the horizontal axis of the two-dimensional coordinate system is time and the vertical axis is temperature data. Furthermore, fitting may be performed based on the temperature data to obtain a temperature change straight line and a temperature change curve. The temperature change straight line reflects the temperature change trend and the temperature change direction to a certain extent, and the temperature change curve reflects the temperature change stability to a certain extent. Furthermore, the first slope corresponding to the temperature change straight line may be obtained, and the first mean square error may be determined based on the temperature change curve. For example, the extreme points in the temperature change curve may be determined. The extreme points include maximum points and minimum points. Furthermore, a mean square error calculation may be performed based on the extreme points to obtain the first mean square error.

[0083] Accordingly, the pressure data may include pressure data within a period of time, and each pressure data may correspond to a sampling time. Furthermore, the pressure data and the corresponding sampling time may be regarded as a coordinate point, which may be mapped in a two-dimensional coordinate system, wherein the horizontal axis of the two-dimensional coordinate system is time and the vertical axis is pressure data. Furthermore, fitting may be performed based on the pressure data to obtain a pressure change straight line and a pressure change curve. The pressure change straight line reflects the pressure change trend and the pressure change direction to a certain extent, and the pressure change curve reflects the pressure change stability to a certain extent. Furthermore, a second slope corresponding to the pressure change straight line may be obtained, and a second mean square error may be determined based on the pressure change curve. For example, the extreme points in the pressure change curve may be determined. The extreme points include maximum points and minimum points. Furthermore, a mean square error calculation may be performed based on the extreme points to obtain a second mean square error.

[0084] Next, a second deviation between the first slope and the second slope can also be determined, that is, the second deviation = (first slope - second slope) / (first slope + second slope), and accordingly, a third deviation between the first mean square error and the second mean square error can also be determined, that is, the third deviation = (first mean square error - second mean square error) / (first mean square error + second mean square error), that is, when the second deviation is not within the first preset range and the third deviation is not within the second preset range, it indicates that a pressure abnormality occurs in the gas boiler, and it is necessary to perform the step of determining the reference pressure data corresponding to the temperature data and the target environmental parameters to detect whether the pressure of the gas boiler exceeds the limit, thereby enabling accurate remote early warning of the gas boiler to ensure the working safety of the gas boiler.

[0085] On the contrary, when the second deviation is within the first preset range and the third deviation is within the second preset range, it means that there is no pressure abnormality in the gas boiler. When the second deviation is not within the first preset range and the third deviation is within the second preset range, it means that there is no pressure abnormality in the gas boiler. When the second deviation is within the first preset range and the third deviation is not within the second preset range, it means that there is no pressure abnormality in the gas boiler.

[0086] Optionally, after the early warning operation is performed, the biomass gasifier further includes a catalyst supply unit, and the biomass gasifier is further specifically used for:

[0087] determining a target catalyst corresponding to the target biomass;

[0088] determining a first supply parameter of the target catalyst corresponding to the first operating parameter;

[0089] Determining a target deviation difference between the first deviation and the preset deviation;

[0090] Determining a first feedback adjustment parameter corresponding to the target deviation difference;

[0091] Determine a second feedback adjustment parameter corresponding to the target pipeline parameter

[0092] Adjust the first supply parameter according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain a second supply parameter;

[0093] The catalyst supply unit is controlled to supply the target catalyst with the second supply parameter.

[0094] Among them, the first supply parameter may include at least one of the following: supply duration, supply cycle, supply temperature, catalyst state, catalyst density, catalyst particle size, catalyst temperature, supply frequency, supply speed, supply dosage, supply position, supply area, etc., which are not limited here.

[0095] In the embodiment of the present application, the catalyst can increase the speed of the chemical reaction to a certain extent, and different biomasses will use different catalysts. Therefore, the mapping relationship between the preset biomass and the catalyst can be pre-stored, and then the target catalyst corresponding to the target biomass can be determined based on the mapping relationship.

[0096] In a specific implementation, a mapping relationship between preset working parameters of the biomass gasifier and supply parameters of the target catalyst may be pre-stored, and then, a first supply parameter of the target catalyst corresponding to the first working parameter may be determined based on the mapping relationship.

[0097] determining a first supply parameter of the target catalyst corresponding to the first operating parameter;

[0098] Next, a target deviation difference between the first deviation and the preset deviation can be determined, that is, the target deviation difference = the first deviation - the preset deviation. A mapping relationship between the preset deviation difference and the feedback adjustment parameter can be pre-stored, and then a first feedback adjustment parameter corresponding to the target deviation difference can be determined based on the mapping relationship. In addition, a mapping relationship between the preset pipeline parameter and the feedback adjustment parameter can be pre-stored, and then a second feedback adjustment parameter corresponding to the target pipeline parameter can be determined based on the mapping relationship. The first supply parameter can be adjusted according to the first feedback adjustment parameter and the second feedback adjustment parameter to obtain the second supply parameter, that is, the second supply parameter = (1 + first feedback adjustment parameter) * (1 + second feedback adjustment parameter) * first supply parameter. Finally, the catalyst supply unit can be controlled to use the second supply parameter The target catalyst is supplied in number. After the early warning operation is performed, not only can the first supply parameter of the corresponding target catalyst be configured based on the working parameters of the biomass gasifier, but the deviation difference reflects the pressure condition of the gas boiler to a certain extent. In order to solve the pressure bearing capacity of the gas boiler, the biomass gas input parameter will be feedback-adjusted. In order to feedback-adjust the biomass gas input parameter, the reaction efficiency of the biomass gas is reduced to adjust the first supply parameter through the deviation difference feedback. Correspondingly, since the generation efficiency of the biomass gas is affected, the pressure bearing of the pipeline will also be affected to a certain extent, which will further cause the biomass gas input parameter to be disturbed. In order to ensure the smooth depressurization process of the gas boiler, the influence of the pipeline is further considered, so that the final depressurization process of the gas boiler can be carried out smoothly, thereby ensuring the working safety of the gas boiler.

[0099] It can be seen that the remote control system described in the embodiment of the present application includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the biomass gasifier is used to obtain the first attribute information of the target biomass, determine the first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas; the gas boiler is used to obtain the second attribute information of the biomass gas, determine the second working parameter corresponding to the second attribute information, work based on the second working parameter, convert the biomass gas into energy, obtain the target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; the remote control device is used to determine The reference pressure data corresponding to the temperature data and the target environmental parameters determines the preset deviation corresponding to the target environmental parameters and the third attribute information, determines the first deviation between the pressure data and the reference pressure data, and performs an early warning operation when the first deviation is greater than the preset deviation. Firstly, since the corresponding working parameters of the biomass gasifier are matched according to the inherent characteristics of the biomass, the production efficiency of the biomass gas can be improved. Secondly, since the corresponding working parameters of the gas boiler are matched according to the inherent characteristics of the biogas, the energy conversion efficiency of the biomass gas can be improved. Thirdly, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler. If the pressure of the gas boiler exceeds the early warning line, an early warning operation can be performed, thereby enabling the gas boiler to be remotely early warned to ensure the working safety of the gas boiler.

[0100] See also Figure 2 , Figure 2 is a flow chart of a remote control method provided by an embodiment of the present application, which is applied to Figure 1 The remote control system shown in the figure includes: a biomass gasifier, a gas boiler, and a remote control device; as shown in the figure, the remote control method includes:

[0101] 201. The biomass gasifier obtains first attribute information of the target biomass, determines a first operating parameter corresponding to the first attribute information, and operates based on the first operating parameter to convert the target biomass into biomass gas.

[0102] 202. The gas boiler obtains second attribute information of the biomass gas, determines a second operating parameter corresponding to the second attribute information, operates based on the second operating parameter, converts the biomass gas into energy, obtains target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtains temperature data and pressure data in the gas boiler, and sends the temperature data, the pressure data and the target environmental parameters to the remote control device.

[0103] 203. The remote control device determines reference pressure data corresponding to the temperature data and the target environmental parameters, determines a preset deviation corresponding to the target environmental parameters and the third attribute information, determines a first deviation between the pressure data and the reference pressure data, and performs a warning operation when the first deviation is greater than the preset deviation.

[0104] The specific description of the above steps 201 to 203 can refer to the above Figure 1 The description of the remote control system described will not be repeated here.

[0105] It can be seen that the remote control method described in the embodiment of the present application is applied to a remote control system, and the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the biomass gasifier is used to obtain the first attribute information of the target biomass, determine the first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas; the gas boiler is used to obtain the second attribute information of the biomass gas, determine the second working parameter corresponding to the second attribute information, and work based on the second working parameter to convert the biomass gas into energy, obtain the target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; The remote control device is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation. Firstly, since the corresponding working parameters of the biomass gasifier are matched according to the inherent characteristics of the biomass, the production efficiency of the biomass gas can be improved. Secondly, since the corresponding working parameters of the gas boiler are matched according to the inherent characteristics of the biogas, the energy conversion efficiency of the biomass gas can be improved. Thirdly, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler. If the pressure of the gas boiler exceeds the early warning line, an early warning operation can be performed, thereby enabling the gas boiler to be remotely early warned to ensure the working safety of the gas boiler.

[0106] In accordance with the above embodiment, please refer to Figure 3 , Figure 3 : is a structural schematic diagram of an electronic device provided in an embodiment of the present application. As shown in the figure, the electronic device includes a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor. In an embodiment of the present application, the electronic device is applied to a remote control system, and the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device. The program includes instructions for executing the following steps:

[0107] The biomass gasifier obtains first attribute information of the target biomass, determines a first operating parameter corresponding to the first attribute information, and operates based on the first operating parameter to convert the target biomass into biomass gas;

[0108] The gas boiler obtains second attribute information of the biomass gas, determines a second operating parameter corresponding to the second attribute information, operates based on the second operating parameter, converts the biomass gas into energy, obtains target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtains temperature data and pressure data in the gas boiler, and sends the temperature data, the pressure data and the target environmental parameters to the remote control device;

[0109] The remote control device determines reference pressure data corresponding to the temperature data and the target environmental parameters, determines a preset deviation corresponding to the target environmental parameters and the third attribute information, determines a first deviation between the pressure data and the reference pressure data, and performs a warning operation when the first deviation is greater than the preset deviation.

[0110] Optionally, in determining the reference pressure data corresponding to the temperature data and the target environmental parameter, the program includes instructions for performing the following steps:

[0111] determining initial pressure data corresponding to the temperature data;

[0112] Determining target optimization parameters corresponding to the target environmental parameters;

[0113] The initial pressure data is optimized according to the first optimization parameter to obtain the reference pressure data.

[0114] Optionally, in the aspect of optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data, the program includes instructions for executing the following steps:

[0115] Determining a target delivery pipeline between the biomass gasifier and the gas boiler;

[0116] determining target pipeline parameters corresponding to the target delivery pipeline;

[0117] Determining target biomass gas input parameters of the gas boiler;

[0118] determining a first influencing parameter corresponding to the target biomass gas input parameter;

[0119] Determining a second influencing parameter corresponding to the target pipeline parameter;

[0120] Optimize the first optimization parameter according to the first influencing parameter and the second influencing parameter to obtain a second optimization parameter;

[0121] The initial pressure data is optimized according to the second optimization parameter to obtain the reference pressure data.

[0122] Optionally, the target environmental parameters include target internal environmental parameters and target external environmental parameters; in determining the preset deviation corresponding to the target environmental parameters and the third attribute information, the program includes instructions for executing the following steps:

[0123] determining an initial deviation corresponding to the target internal environment parameter;

[0124] Determining a first adjustment parameter corresponding to the third attribute information;

[0125] Determining a first fine-tuning parameter corresponding to the target external environment parameter;

[0126] The initial deviation is adjusted according to the first adjustment parameter and the first fine-tuning parameter to obtain the preset deviation.

[0127] Optionally, the program includes instructions for performing the following steps:

[0128] Fitting is performed according to the temperature data to obtain a temperature change straight line and a temperature change curve;

[0129] Obtaining a first slope corresponding to the temperature change straight line;

[0130] Determine a first mean square error according to the temperature variation curve;

[0131] Fitting is performed according to the pressure data to obtain a pressure change straight line and a pressure change curve;

[0132] Obtaining a second slope corresponding to the pressure variation straight line;

[0133] Determining a second mean square error according to the pressure variation curve;

[0134] determining a second deviation between the first slope and the second slope;

[0135] determining a third deviation between the first mean square error and the second mean square error;

[0136] When the second deviation is not within the first preset range and the third deviation is not within the second preset range, the step of determining reference pressure data corresponding to the temperature data and the target environmental parameter is performed.

[0137] It can be seen that the electronic device described in the embodiment of the present application is applied to a remote control system, and the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the biomass gasifier is used to obtain first attribute information of the target biomass, determine a first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas; the gas boiler is used to obtain second attribute information of the biomass gas, determine a second working parameter corresponding to the second attribute information, and work based on the second working parameter to convert the biomass gas into energy, obtain target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; The remote control device is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation. Firstly, since the corresponding working parameters of the biomass gasifier are matched according to the inherent characteristics of the biomass, the production efficiency of the biomass gas can be improved. Secondly, since the corresponding working parameters of the gas boiler are matched according to the inherent characteristics of the biogas, the energy conversion efficiency of the biomass gas can be improved. Thirdly, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler. If the pressure of the gas boiler exceeds the early warning line, an early warning operation can be performed, thereby enabling the gas boiler to be remotely early warned to ensure the working safety of the gas boiler.

[0138] Among them, the electronic device may include a processor, a control platform, a server, a remote control device, etc., which is not limited here.

[0139] Figure 4 It is a functional unit composition block diagram of a remote control device 400 involved in an embodiment of the present application. The remote control device 400 is applied to a remote control system. The remote control system includes: a biomass gasification furnace, a gas boiler, and a remote control device. The remote control device 400 includes: an acquisition unit 401, a collection unit 402, and an early warning unit 403, wherein:

[0140] The acquisition unit 401 is used to acquire the first attribute information of the target biomass through the biomass gasifier, determine the first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas;

[0141] The acquisition unit 402 is used to obtain the second attribute information of the biomass gas through the gas boiler, determine the second working parameter corresponding to the second attribute information, work based on the second working parameter, convert the biomass gas into energy, obtain the target environmental parameter and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameter to the remote control device;

[0142] The early warning unit 403 is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters through the remote control device, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation.

[0143] Optionally, in determining the reference pressure data corresponding to the temperature data and the target environmental parameter, the early warning unit 403 is specifically configured to:

[0144] determining initial pressure data corresponding to the temperature data;

[0145] Determining target optimization parameters corresponding to the target environmental parameters;

[0146] The initial pressure data is optimized according to the first optimization parameter to obtain the reference pressure data.

[0147] Optionally, in optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data, the early warning unit 403 is specifically used to:

[0148] Determining a target delivery pipeline between the biomass gasifier and the gas boiler;

[0149] determining target pipeline parameters corresponding to the target delivery pipeline;

[0150] Determining target biomass gas input parameters of the gas boiler;

[0151] determining a first influencing parameter corresponding to the target biomass gas input parameter;

[0152] Determining a second influencing parameter corresponding to the target pipeline parameter;

[0153] Optimize the first optimization parameter according to the first influencing parameter and the second influencing parameter to obtain a second optimization parameter;

[0154] The initial pressure data is optimized according to the second optimization parameter to obtain the reference pressure data.

[0155] Optionally, the target environmental parameter includes a target internal environmental parameter and a target external environmental parameter; in determining a preset deviation corresponding to the target environmental parameter and the third attribute information, the early warning unit is specifically used to:

[0156] determining an initial deviation corresponding to the target internal environment parameter;

[0157] Determining a first adjustment parameter corresponding to the third attribute information;

[0158] Determining a first fine-tuning parameter corresponding to the target external environment parameter;

[0159] The initial deviation is adjusted according to the first adjustment parameter and the first fine-tuning parameter to obtain the preset deviation.

[0160] Optionally, the remote control device 400 is further specifically used for:

[0161] Fitting is performed according to the temperature data to obtain a temperature change straight line and a temperature change curve;

[0162] Obtaining a first slope corresponding to the temperature change straight line;

[0163] Determine a first mean square error according to the temperature variation curve;

[0164] Fitting is performed according to the pressure data to obtain a pressure change straight line and a pressure change curve;

[0165] Obtaining a second slope corresponding to the pressure variation straight line;

[0166] Determining a second mean square error according to the pressure variation curve;

[0167] determining a second deviation between the first slope and the second slope;

[0168] determining a third deviation between the first mean square error and the second mean square error;

[0169] When the second deviation is not within the first preset range and the third deviation is not within the second preset range, the step of determining reference pressure data corresponding to the temperature data and the target environmental parameter is performed.

[0170] It can be seen that the remote control device described in the embodiment of the present application is applied to a remote control system, and the remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein the biomass gasifier is used to obtain the first attribute information of the target biomass, determine the first working parameter corresponding to the first attribute information, and work based on the first working parameter to convert the target biomass into biomass gas; the gas boiler is used to obtain the second attribute information of the biomass gas, determine the second working parameter corresponding to the second attribute information, work based on the second working parameter, convert the biomass gas into energy, obtain the target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain the temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; The remote control device is used to determine the reference pressure data corresponding to the temperature data and the target environmental parameters, determine the preset deviation corresponding to the target environmental parameters and the third attribute information, determine the first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation. Firstly, since the corresponding working parameters of the biomass gasifier are matched according to the inherent characteristics of the biomass, the production efficiency of the biomass gas can be improved. Secondly, since the corresponding working parameters of the gas boiler are matched according to the inherent characteristics of the biogas, the energy conversion efficiency of the biomass gas can be improved. Thirdly, the remote control device can use the temperature data, pressure data and target environmental parameters to analyze the pressure bearing capacity of the gas boiler to ensure the safety of the gas boiler. If the pressure of the gas boiler exceeds the early warning line, an early warning operation can be performed, thereby enabling the gas boiler to be remotely early warned to ensure the working safety of the gas boiler.

[0171] It can be understood that the functions of each program module of the remote control device of this embodiment can be specifically implemented according to the method in the above method embodiment. The specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0172] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0173] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes an electronic device.

[0174] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0175] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0176] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0177] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0178] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0179] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0180] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0181] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A remote control system, characterized in that: The remote control system includes: a biomass gasifier, a gas boiler, and a remote control device, wherein: The biomass gasifier is used to obtain first attribute information of the target biomass, determine a first operating parameter corresponding to the first attribute information, and operate based on the first operating parameter to convert the target biomass into biomass gas; The gas boiler is used to obtain second attribute information of the biomass gas, determine a second operating parameter corresponding to the second attribute information, operate based on the second operating parameter, convert the biomass gas into energy, obtain target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtain temperature data and pressure data in the gas boiler, and send the temperature data, the pressure data and the target environmental parameters to the remote control device; The remote control device is used to determine reference pressure data corresponding to the temperature data and the target environmental parameter, determine a preset deviation corresponding to the target environmental parameter and the third attribute information, determine a first deviation between the pressure data and the reference pressure data, and perform an early warning operation when the first deviation is greater than the preset deviation; In terms of determining the reference pressure data corresponding to the temperature data and the target environmental parameter, the remote control device is specifically used to: determining initial pressure data corresponding to the temperature data; Determining a first optimization parameter corresponding to the target environmental parameter; Optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data; Wherein, in the aspect of optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data, the remote control device is specifically used for: Determining a target delivery pipeline between the biomass gasifier and the gas boiler; determining target pipeline parameters corresponding to the target delivery pipeline; Determining target biomass gas input parameters of the gas boiler; determining a first influencing parameter corresponding to the target biomass gas input parameter; Determining a second influencing parameter corresponding to the target pipeline parameter; Optimize the first optimization parameter according to the first influencing parameter and the second influencing parameter to obtain a second optimization parameter; The initial pressure data is optimized according to the second optimization parameter to obtain the reference pressure data.

2. The system according to claim 1, characterized in that The target environment parameters include target internal environment parameters and target external environment parameters; in determining the preset deviation corresponding to the target environment parameters and the third attribute information, the remote control device is specifically used to: determining an initial deviation corresponding to the target internal environment parameter; Determining a first adjustment parameter corresponding to the third attribute information; Determining a first fine-tuning parameter corresponding to the target external environment parameter; The initial deviation is adjusted according to the first adjustment parameter and the first fine-tuning parameter to obtain the preset deviation.

3. The system according to claim 1 or 2, characterized in that: The remote control device is also specifically used for: Fitting is performed according to the temperature data to obtain a temperature change straight line and a temperature change curve; Obtaining a first slope corresponding to the temperature change straight line; Determine a first mean square error according to the temperature variation curve; Fitting is performed according to the pressure data to obtain a pressure change straight line and a pressure change curve; Obtaining a second slope corresponding to the pressure variation straight line; Determining a second mean square error according to the pressure variation curve; determining a second deviation between the first slope and the second slope; determining a third deviation between the first mean square error and the second mean square error; When the second deviation is not within the first preset range and the third deviation is not within the second preset range, the step of determining reference pressure data corresponding to the temperature data and the target environmental parameter is performed.

4. A remote control method, characterized in that: The remote control method is applied to a remote control system, the remote control system comprising: a biomass gasifier, a gas boiler, and a remote control device, the method comprising: The biomass gasifier obtains first attribute information of target biomass, determines a first operating parameter corresponding to the first attribute information, and operates based on the first operating parameter to convert the target biomass into biomass gas; The gas boiler obtains second attribute information of the biomass gas, determines a second operating parameter corresponding to the second attribute information, operates based on the second operating parameter, converts the biomass gas into energy, obtains target environmental parameters and third attribute information of the gas boiler, and in the process of converting the biomass gas into energy, obtains temperature data and pressure data in the gas boiler, and sends the temperature data, the pressure data and the target environmental parameters to the remote control device; The remote control device determines reference pressure data corresponding to the temperature data and the target environmental parameter, determines a preset deviation corresponding to the target environmental parameter and the third attribute information, determines a first deviation between the pressure data and the reference pressure data, and performs an early warning operation when the first deviation is greater than the preset deviation; Wherein, the determining of the reference pressure data corresponding to the temperature data and the target environmental parameter comprises: determining initial pressure data corresponding to the temperature data; Determining a first optimization parameter corresponding to the target environmental parameter; Optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data; Wherein, optimizing the initial pressure data according to the first optimization parameter to obtain the reference pressure data includes: Determining a target delivery pipeline between the biomass gasifier and the gas boiler; determining target pipeline parameters corresponding to the target delivery pipeline; Determining target biomass gas input parameters of the gas boiler; determining a first influencing parameter corresponding to the target biomass gas input parameter; Determining a second influencing parameter corresponding to the target pipeline parameter; Optimize the first optimization parameter according to the first influencing parameter and the second influencing parameter to obtain a second optimization parameter; The initial pressure data is optimized according to the second optimization parameter to obtain the reference pressure data.

5. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the programs include instructions for executing the steps in the method according to claim 4.

6. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program causes a computer to execute the method as claimed in claim 4.

Images