A paperless energy consumption detection and management system for traditional Chinese medicine experiments

Abstract

The invention relates to the field of Chinese medicine experiments, and in particular to a paperless Chinese medicine experiment energy consumption detection and management system, which is used to solve the problem that a traditional Chinese medicine experiment energy consumption detection and management method usually adopts a paper recording method, which is not only inefficient but also prone to errors, and it is difficult to find the cause of abnormal energy consumption, resulting in the problem that the abnormal energy consumption problem cannot be solved; the system comprises a detection management platform, a data storage module, an energy consumption monitoring module, an information analysis module, an environment monitoring module, an equipment monitoring module and an abnormal alarm module; the system realizes paperless operation of Chinese medicine experiment energy consumption detection and management, improves management efficiency and management quality, and can timely find and obtain the cause of abnormal energy consumption by real-time monitoring of energy consumption in the process of Chinese medicine experiments, thereby improving and solving the problem of resource waste, and enables users to more intuitively understand the experimental energy consumption by processing and analyzing data.

Description

Technical Field

[0001] The invention relates to the field of traditional Chinese medicine experiments, and in particular to a paperless traditional Chinese medicine experiment energy consumption detection and management system. Background Art

[0002] Traditional Chinese medicine experiments are an important part of traditional Chinese medicine research, but there are many problems in the traditional Chinese medicine experimental process. First, the experimental process requires a lot of manual operations, which is not only time-consuming but also prone to errors; second, the recording and compilation of experimental results requires a lot of time and manpower, and it is difficult to ensure the accuracy and completeness of the data; finally, since a large amount of paper is needed during the experiment, it not only wastes resources, but also has a negative impact on the environment.

[0003] In the process of traditional Chinese medicine experiments, it is crucial to accurately detect and manage the consumption of experimental materials and the energy consumption of experimental equipment. However, the traditional method of energy consumption detection and management of traditional Chinese medicine experiments usually adopts paper records, which is not only inefficient, but also prone to errors, and it is difficult to find the cause of abnormal energy consumption, resulting in the problem of abnormal energy consumption cannot be solved. Therefore, the development of a paperless traditional Chinese medicine experiment energy consumption detection and management system has become an urgent need in the industry. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide a paperless Chinese medicine experiment energy consumption detection and management system, which solves the problem that the traditional Chinese medicine experiment energy consumption detection and management method usually adopts paper recording, which is not only inefficient, but also prone to errors, and it is difficult to find the causes of abnormal energy consumption, resulting in the problem that the abnormal energy consumption problem cannot be solved.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A paperless Chinese medicine experiment energy consumption detection and management system, comprising:

[0007] The detection management platform is used for users to obtain the name and weight of traditional Chinese medicine, generate a stop parameter acquisition instruction, and send the stop parameter acquisition instruction to the data storage module; it is also used to generate energy consumption monitoring instructions and environmental monitoring instructions according to the average viscosity value JN, average density value JM, extracted mean value TJ, actual viscosity value SN, actual density value SM and extracted actual value TS, and send the energy consumption monitoring instruction to the energy consumption monitoring module, and send the environmental monitoring instruction to the environmental monitoring module;

[0008] The data storage module is used to obtain the historical viscosity value LN and the historical density value LM according to the name and weight of the traditional Chinese medicine after receiving the stop parameter acquisition instruction, and obtain the average viscosity value JN and the average density value JM according to the historical viscosity value LN and the historical density value LM, and send the average viscosity value JN and the average density value JM to the detection management platform;

[0009] The energy consumption monitoring module is used to obtain energy consumption monitoring information after receiving the energy consumption monitoring instruction, and send the energy consumption monitoring information to the information analysis module; wherein the energy consumption monitoring information includes the extraction ratio value TB, the solvent value RJ and the power consumption value HD;

[0010] The specific process of the energy consumption monitoring module obtaining energy consumption monitoring information is as follows:

[0011] After receiving the energy consumption monitoring instruction, the Chinese medicine extraction process is stopped, and the Chinese medicine extract is dried until the solid content of the Chinese medicine extract reaches a preset solid content, thereby obtaining a Chinese medicine extract;

[0012] Obtain the weight of the Chinese medicine extract and the weight of the Chinese medicine put into the Chinese medicine extraction device, obtain the ratio between the two, and mark it as the extraction ratio TB;

[0013] Obtain the total mass and total price of the extraction solvent consumed in the process of traditional Chinese medicine extraction, and mark them as solute value RZ and solute lattice value RG respectively, quantify the solute value RZ and solute lattice value RG, extract the values ​​of solute value RZ and solute lattice value RG, and substitute them into the formula for calculation. Obtaining a solvent value RJ, wherein r1 and r2 are preset proportional coefficients corresponding to the set solute value RZ and the lattice value RG, respectively, r1 and r2 satisfy r1+r2=1, 0<r2<r1<1, taking r1=0.78, r2=0.22; wherein the solvent includes but is not limited to water and anhydrous ethanol;

[0014] Obtain the total power consumed during the extraction process of traditional Chinese medicine and the power consumed per minute, and mark them as the total power value ZD and the sub-power value FD, quantify the total power value ZD and the sub-power value FD, extract the values ​​of the total power value ZD and the sub-power value FD, and substitute them into the formula for calculation. The power consumption value HD is obtained, where d1 and d2 are respectively the preset proportional coefficients corresponding to the set total power value ZD and the divided power value FD, d1 and d2 satisfy d1+d2=1, 0<d2<d1<1, and d1=0.71 and d2=0.29;

[0015] Send the extraction ratio value TB, solvent value RJ and power consumption value HD to the information analysis module;

[0016] The information analysis module is used to obtain the energy consumption monitoring coefficient HN according to the energy consumption monitoring information, and send the energy consumption monitoring coefficient HN to the detection management platform.

[0017] As a further solution of the present invention: the specific process of the detection management platform generating energy consumption monitoring instructions and environmental monitoring instructions is as follows:

[0018] After receiving the average viscosity value JN and the average density value JM, the average viscosity value JN and the average density value JM are quantified, the values ​​of the average viscosity value JN and the average density value JM are extracted, and the values ​​are substituted into the formula for calculation, and the extracted mean value TJ is obtained according to the formula TJ=j1×JN+j2×JM, wherein j1 and j2 are respectively the preset proportional coefficients corresponding to the set average viscosity value JN and the average density value JM, j1 and j2 satisfy j1+j2=1, 0<j1<j2<1, and j1=0.45 and j2=0.55;

[0019] Extract the Chinese medicine, obtain the viscosity and density of the Chinese medicine extract in real time, and mark them as the actual viscosity value SN and the actual density value SM, quantify the actual viscosity value SN and the actual density value SM, extract the values ​​of the actual viscosity value SN and the actual density value SM, and substitute them into the formula for calculation, and obtain the extracted actual value TS according to the formula TS=j1×SN+j2×SM, as above, wherein j1 and j2 are the preset proportional coefficients corresponding to the set actual viscosity value SN and the actual density value SM, respectively, j1 and j2 satisfy j1+j2=1, 0<j1<j2<1, and take j1=0.45 and j2=0.55;

[0020] Compare the average viscosity value JN, average density value JM and extracted mean value TJ with the actual viscosity value SN, actual density value SM and extracted actual value TS respectively:

[0021] If the actual viscosity value SN ≥ δ × average viscosity value JN and the actual density value SM ≥ δ × average density value JM and the extracted actual value TS ≥ δ × extracted average value TJ, then energy consumption monitoring instructions and environmental monitoring instructions are generated, and the energy consumption monitoring instructions are sent to the energy consumption monitoring module, and the environmental monitoring instructions are sent to the environmental monitoring module, where δ is a preset error adjustment factor, δ satisfies 0<δ≤1, and δ=0.969.

[0022] As a further solution of the present invention: the specific process of the information analysis module obtaining the energy consumption monitoring coefficient HN is as follows:

[0023] The extraction ratio TB, solvent value RJ and power consumption value HD are quantified, the values ​​of the extraction ratio TB, solvent value RJ and power consumption value HD are extracted, and substituted into the formula for calculation. According to the formula The energy consumption monitoring coefficient HN is obtained, where h1, h2 and h3 are the preset weight factors corresponding to the set extraction ratio TB, solvent value RJ and power consumption value HD, respectively. h1, h2 and h3 satisfy h3>h2>h1>1.175, and h1=1.32, h2=1.68, and h3=1.93;

[0024] The energy consumption monitoring coefficient HN is sent to the detection management platform.

[0025] As a further solution of the present invention: the paperless Chinese medicine experiment energy consumption detection and management system also includes:

[0026] The environmental monitoring module is used to obtain the environmental coefficient HJ after receiving the environmental monitoring instruction, and send the environmental coefficient HJ to the detection management platform.

[0027] As a further solution of the present invention: the specific process of the environmental monitoring module obtaining the environmental coefficient HJ is as follows:

[0028] After receiving the environmental monitoring instruction, the environment in which the Chinese medicine extraction equipment is located is monitored, the environmental temperature and environmental humidity are obtained, and they are marked as the ambient temperature value HW and the ambient humidity value HS respectively, the ambient temperature value HW and the ambient humidity value HS are quantified, the values ​​of the ambient temperature value HW and the ambient humidity value HS are extracted, and they are substituted into the formula for calculation, and the environmental coefficient HJ is obtained according to the formula HJ=x1×HW+x2×HS, wherein x1 and x2 are the preset proportional coefficients corresponding to the set ambient temperature value HW and the ambient humidity value HS respectively, and x1 and x2 satisfy x1+x2=1, 0<x2<x1<1, and x1=0.54 and x2=0.46 are taken;

[0029] Send the environmental factor HJ to the detection management platform.

[0030] As a further solution of the present invention: the paperless Chinese medicine experiment energy consumption detection and management system also includes:

[0031] The equipment monitoring module is used to obtain equipment abnormality information after receiving the equipment monitoring instruction, and send the equipment abnormality information to the detection management platform; wherein the equipment abnormality information includes the vibration value ZD and the sound value SY.

[0032] As a further solution of the present invention: the specific process of the device monitoring module obtaining device abnormality information is as follows:

[0033] After receiving the equipment monitoring instruction, the Chinese medicine extraction equipment is monitored to obtain the vibration times and maximum vibration displacement of the Chinese medicine extraction equipment per unit time, and they are marked as dynamic value DS and dynamic displacement value DY respectively. The dynamic value DS and dynamic displacement value DY are quantified, the values ​​of the dynamic value DS and dynamic displacement value DY are extracted, and they are substituted into the formula for calculation. According to the formula The vibration value ZD is obtained, wherein e is a mathematical constant, z1 and z2 are respectively preset proportional coefficients corresponding to the set dynamic value DS and the dynamic displacement value DY, z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.42 and z2=0.58;

[0034] The maximum sound intensity of the noise emitted by the Chinese medicine extraction equipment per unit time and the total time that the sound intensity of the noise emitted exceeds the preset sound intensity are obtained, and they are marked as the noise intensity value ZQ and the noise time value ZS respectively. The noise intensity value ZQ and the noise time value ZS are quantified, the values ​​of the noise intensity value ZQ and the noise time value ZS are extracted, and they are substituted into the formula for calculation. According to the formula The sound value SY is obtained, wherein e is a mathematical constant, s1 and s2 are respectively the preset proportional coefficients corresponding to the set noise intensity value ZQ and the noise duration value ZS, s1 and s2 satisfy s1+s2=1, 0<s2<s1<1, and s1=0.70 and s2=0.30;

[0035] The vibration value ZD and sound value SY are sent to the detection management platform.

[0036] As a further solution of the present invention: the detection management platform is also used to obtain the equipment abnormality coefficient SB according to the equipment abnormality information, and generate equipment abnormality instructions or process abnormality instructions according to the equipment abnormality coefficient SB, and send the equipment abnormality instructions to the abnormal alarm module, and send the process abnormality instructions to the abnormal alarm module.

[0037] As a further solution of the present invention: the specific process of the detection management platform generating the equipment abnormality instruction or the process abnormality instruction is as follows:

[0038] Obtain the product of the vibration value ZD and the sound value SY, and mark it as the equipment abnormality coefficient SB;

[0039] Compare the equipment abnormality coefficient SB with the preset equipment abnormality threshold SBy:

[0040] If the equipment abnormality coefficient SB ≥ the equipment abnormality threshold SBy, an equipment abnormality instruction is generated and sent to the abnormality alarm module;

[0041] If the equipment abnormality coefficient SB is less than the equipment abnormality threshold SBy, a process abnormality instruction is generated and sent to the abnormality alarm module.

[0042] As a further solution of the present invention: the paperless Chinese medicine experiment energy consumption detection and management system also includes:

[0043] The abnormality alarm module is used to sound the equipment abnormality alarm after receiving the equipment abnormality instruction, and to sound the process abnormality alarm after receiving the process abnormality instruction.

[0044] Beneficial effects of the present invention:

[0045] A paperless Chinese medicine experiment energy consumption detection and management system of the present invention first obtains the average viscosity value, average density value, extraction average, actual viscosity value, actual density value and extraction actual value to realize the automatic stop of the Chinese medicine extraction process, and then obtains energy consumption monitoring information. The energy consumption monitoring coefficient obtained according to the energy consumption monitoring information can comprehensively measure the energy consumption situation in the Chinese medicine experiment process, and the larger the energy consumption monitoring coefficient, the more serious the energy consumption situation. Then, the environmental coefficient is obtained, and the environmental coefficient can comprehensively measure the environmental situation of the Chinese medicine extraction equipment. The energy consumption monitoring coefficient at the same environmental coefficient in the historical data is obtained according to the environmental coefficient, and the energy consumption monitoring coefficient is compared with the historical energy consumption monitoring coefficient to eliminate the adverse effects of the environment on the Chinese medicine extraction equipment and the energy consumption situation in the Chinese medicine experiment process. If the energy consumption monitoring coefficient is too large, it means that its energy consumption is abnormal, and the equipment abnormality information is obtained. The equipment abnormality information is obtained according to the equipment abnormality information. The abnormality coefficient can comprehensively measure the abnormal conditions of the Chinese medicine extraction equipment, and the larger the equipment abnormality coefficient, the more serious the abnormal condition. When the equipment abnormality coefficient is too large, it means that the Chinese medicine extraction equipment has an adverse effect on the energy consumption in the Chinese medicine experiment. On the contrary, when the equipment abnormality coefficient meets the requirements, it means that the abnormal energy consumption in the Chinese medicine experiment is caused by unreasonable experimental technology, which eliminates the adverse effects of the Chinese medicine extraction equipment on the energy consumption in the Chinese medicine experiment. The system realizes paperless operation of energy consumption detection and management of Chinese medicine experiments, improves management efficiency and management quality, and can timely discover and obtain the causes of abnormal energy consumption through real-time monitoring of energy consumption in the Chinese medicine experiment, and then improve it, which can solve the problem of resource waste. By processing and analyzing data, users can understand the experimental energy consumption more intuitively, so that users can operate and manage more conveniently. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a principle block diagram of a paperless traditional Chinese medicine experiment energy consumption detection and management system in the present invention;

[0048] Figure 2 The invention discloses a process flow chart of a paperless traditional Chinese medicine experiment energy consumption detection and management system. DETAILED DESCRIPTION

[0049] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1:

[0051] See also Figure 1 As shown, this embodiment is a paperless Chinese medicine experiment energy consumption detection and management system, including the following modules: detection management platform, data storage module, energy consumption monitoring module, information analysis module, environment monitoring module, equipment monitoring module and abnormal alarm module;

[0052] Among them, the detection management platform is used for users to obtain the name and weight of traditional Chinese medicine, and at the same time generate a stop parameter acquisition instruction, and send the stop parameter acquisition instruction to the data storage module; it is also used to generate energy consumption monitoring instructions and environmental monitoring instructions according to the average viscosity value JN, the average density value JM, the extracted mean value TJ, the actual viscosity value SN, the actual density value SM and the extracted actual value TS, and send the energy consumption monitoring instruction to the energy consumption monitoring module, and send the environmental monitoring instruction to the environmental monitoring module; it is also used to generate an environmental parameter acquisition instruction after receiving the environmental coefficient HJ, and send the environmental parameter acquisition instruction to the data storage module; it is also used to generate an equipment monitoring instruction according to the energy consumption monitoring coefficient HN and the historical energy consumption monitoring coefficient HNs, and send the equipment monitoring instruction to the equipment monitoring module; it is also used to obtain the equipment abnormality coefficient SB according to the equipment abnormality information, and generate an equipment abnormality instruction or a process abnormality instruction according to the equipment abnormality coefficient SB, and send the equipment abnormality instruction to the abnormal alarm module, and send the process abnormality instruction to the abnormal alarm module;

[0053] Among them, the data storage module is used to obtain the historical viscosity value LN and the historical density value LM according to the name and weight of the traditional Chinese medicine after receiving the stop parameter acquisition instruction, and obtain the average viscosity value JN and the average density value JM according to the historical viscosity value LN and the historical density value LM, and send the average viscosity value JN and the average density value JM to the detection management platform; it is also used to receive the environmental parameter acquisition instruction to obtain the historical energy consumption monitoring coefficient HNs, and send the historical energy consumption monitoring coefficient HNs to the detection management platform;

[0054] The energy consumption monitoring module is used to obtain energy consumption monitoring information after receiving the energy consumption monitoring instruction, and send the energy consumption monitoring information to the information analysis module; wherein the energy consumption monitoring information includes the extraction ratio value TB, the solvent value RJ and the power consumption value HD;

[0055] The information analysis module is used to obtain the energy consumption monitoring coefficient HN according to the energy consumption monitoring information, and send the energy consumption monitoring coefficient HN to the detection management platform;

[0056] Wherein, the environmental monitoring module is used to obtain the environmental coefficient HJ after receiving the environmental monitoring instruction, and send the environmental coefficient HJ to the detection management platform;

[0057] The equipment monitoring module is used to obtain equipment abnormality information after receiving the equipment monitoring instruction, and send the equipment abnormality information to the detection management platform; wherein the equipment abnormality information includes the vibration value ZD and the sound value SY;

[0058] Among them, the abnormal alarm module is used to sound an equipment abnormality alarm after receiving an equipment abnormality instruction, and to sound a process abnormality alarm after receiving a process abnormality instruction.

[0059] Embodiment 2:

[0060] See also Figure 2 As shown, this embodiment is a paperless Chinese medicine experiment energy consumption detection and management system, including the following steps:

[0061] Step S1: The detection management platform obtains the name and weight of the traditional Chinese medicine, generates a stop parameter acquisition instruction, and sends the stop parameter acquisition instruction to the data storage module;

[0062] The specific process is as follows:

[0063] The user enters the name of the Chinese medicine used for the experiment in the detection management platform, obtains the weight of the Chinese medicine put into the Chinese medicine extraction device, and generates a stop parameter acquisition instruction at the same time, and sends the stop parameter acquisition instruction to the data storage module;

[0064] Step S2: After receiving the instruction to stop parameter acquisition, the data storage module obtains the historical viscosity value LN and the historical density value LM according to the name and weight of the Chinese medicine, and obtains the average viscosity value JN and the average density value JM according to the historical viscosity value LN and the historical density value LM, and sends the average viscosity value JN and the average density value JM to the detection management platform;

[0065] The specific process is as follows:

[0066] Step S21: after receiving the stop parameter acquisition instruction, the data storage module acquires the viscosity and density of the Chinese medicine extract at the end of the experiment with the same Chinese medicine name and weight in the historical Chinese medicine experimental data, and marks them as the historical viscosity value LN and the historical density value LM respectively;

[0067] Step S22: The data storage module obtains all historical viscosity values ​​LN, sums them up and calculates the average value, and marks it as the average viscosity value JN; obtains all historical density values ​​LM, sums them up and calculates the average value, and marks it as the average density value JM; and sends the average viscosity value JN and the average density value JM to the detection management platform;

[0068] Step S3: The detection management platform generates an energy consumption monitoring instruction and an environmental monitoring instruction according to the average viscosity value JN, the average density value JM, the extracted mean value TJ, the actual viscosity value SN, the actual density value SM, and the extracted actual value TS, and sends the energy consumption monitoring instruction to the energy consumption monitoring module and sends the environmental monitoring instruction to the environmental monitoring module;

[0069] The specific process is as follows:

[0070] Step S31: After receiving the average viscosity value JN and the average density value JM, the detection management platform quantifies the average viscosity value JN and the average density value JM, extracts the values ​​of the average viscosity value JN and the average density value JM, and substitutes them into the formula for calculation, and obtains the extracted mean value TJ according to the formula TJ=j1×JN+j2×JM, wherein j1 and j2 are respectively the preset proportional coefficients corresponding to the set average viscosity value JN and the average density value JM, and j1 and j2 satisfy j1+j2=1, 0<j1<j2<1, and j1=0.45 and j2=0.55;

[0071] Step S32: The detection management platform extracts the Chinese medicine, obtains the viscosity and density of the Chinese medicine extract in real time, and marks them as the actual viscosity value SN and the actual density value SM, quantifies the actual viscosity value SN and the actual density value SM, extracts the values ​​of the actual viscosity value SN and the actual density value SM, and substitutes them into the formula for calculation, and obtains the extracted actual value TS according to the formula TS=j1×SN+j2×SM, as above, wherein j1 and j2 are the preset proportional coefficients corresponding to the set actual viscosity value SN and the actual density value SM, respectively, j1 and j2 satisfy j1+j2=1, 0<j1<j2<1, and j1=0.45 and j2=0.55;

[0072] Step S33: The detection management platform compares the average viscosity value JN, the average density value JM and the extracted mean value TJ with the actual viscosity value SN, the actual density value SM and the extracted actual value TS respectively:

[0073] If the actual viscosity value SN ≥ δ × average viscosity value JN and the actual density value SM ≥ δ × average density value JM and the extracted actual value TS ≥ δ × extracted average value TJ, then generate energy consumption monitoring instructions and environmental monitoring instructions, and send the energy consumption monitoring instructions to the energy consumption monitoring module, and send the environmental monitoring instructions to the environmental monitoring module, where δ is a preset error adjustment factor, δ satisfies 0<δ≤1, and δ=0.969;

[0074] Step S4: After receiving the energy consumption monitoring instruction, the energy consumption monitoring module obtains energy consumption monitoring information, including the extraction ratio value TB, the solvent value RJ and the power consumption value HD, and sends the energy consumption monitoring information to the information analysis module;

[0075] The specific process is as follows:

[0076] Step S41: After receiving the energy consumption monitoring instruction, the energy consumption monitoring module stops the Chinese medicine extraction process and dries the Chinese medicine extract until the solid content of the Chinese medicine extract reaches a preset solid content, thereby obtaining a Chinese medicine extract;

[0077] Step S42: the energy consumption monitoring module obtains the weight of the Chinese medicine extract and the weight of the Chinese medicine put into the Chinese medicine extraction device, obtains the ratio between the two, and marks it as the extraction ratio TB;

[0078] Step S43: The energy consumption monitoring module obtains the total mass and total price of the extraction solvent consumed during the extraction of traditional Chinese medicine, and marks them as solute value RZ and lattice value RG respectively, quantifies the solute value RZ and lattice value RG, extracts the values ​​of the solute value RZ and lattice value RG, and substitutes them into the formula for calculation. Obtaining a solvent value RJ, wherein r1 and r2 are preset proportional coefficients corresponding to the set solute value RZ and the lattice value RG, respectively, r1 and r2 satisfy r1+r2=1, 0<r2<r1<1, taking r1=0.78, r2=0.22; wherein the solvent includes but is not limited to water and anhydrous ethanol;

[0079] Step S44: The energy consumption monitoring module obtains the total power consumed during the extraction process of traditional Chinese medicine and the power consumed per minute, and marks them as the total power value ZD and the power distribution value FD, quantifies the total power value ZD and the power distribution value FD, extracts the values ​​of the total power value ZD and the power distribution value FD, and substitutes them into the formula for calculation. The power consumption value HD is obtained, where d1 and d2 are respectively the preset proportional coefficients corresponding to the set total power value ZD and the divided power value FD, d1 and d2 satisfy d1+d2=1, 0<d2<d1<1, and d1=0.71 and d2=0.29;

[0080] Step S45: the energy consumption monitoring module sends the extraction ratio value TB, the solvent value RJ and the power consumption value HD to the information analysis module;

[0081] Step S5: the information analysis module obtains the energy consumption monitoring coefficient HN according to the energy consumption monitoring information, and sends the energy consumption monitoring coefficient HN to the detection management platform;

[0082] The specific process is as follows:

[0083] Step S51: The information analysis module quantifies the extraction ratio TB, solvent value RJ and power consumption value HD, extracts the values ​​of the extraction ratio TB, solvent value RJ and power consumption value HD, and substitutes them into the formula for calculation. The energy consumption monitoring coefficient HN is obtained, where h1, h2 and h3 are the preset weight factors corresponding to the set extraction ratio TB, solvent value RJ and power consumption value HD, respectively. h1, h2 and h3 satisfy h3>h2>h1>1.175, and h1=1.32, h2=1.68, and h3=1.93;

[0084] Step S52: the information analysis module sends the energy consumption monitoring coefficient HN to the detection management platform;

[0085] Step S6: After receiving the environmental monitoring instruction, the environmental monitoring module obtains the environmental coefficient HJ and sends the environmental coefficient HJ to the detection management platform;

[0086] The specific process is as follows:

[0087] Step S61: After receiving the environmental monitoring instruction, the environmental monitoring module monitors the environment where the Chinese medicine extraction equipment is located, obtains the environmental temperature and environmental humidity, and marks them as the ambient temperature value HW and the ambient humidity value HS, respectively, quantifies the ambient temperature value HW and the ambient humidity value HS, extracts the values ​​of the ambient temperature value HW and the ambient humidity value HS, and substitutes them into the formula for calculation, and obtains the environmental coefficient HJ according to the formula HJ=x1×HW+x2×HS, wherein x1 and x2 are respectively the preset proportional coefficients corresponding to the set ambient temperature value HW and the ambient humidity value HS, and x1 and x2 satisfy x1+x2=1, 0<x2<x1<1, and x1=0.54 and x2=0.46;

[0088] Step S62: The environmental monitoring module sends the environmental coefficient HJ to the detection management platform;

[0089] Step S7: After receiving the environmental coefficient HJ, the detection management platform generates an environmental parameter acquisition instruction and sends the environmental parameter acquisition instruction to the data storage module;

[0090] Step S8: the data storage module receives the environmental parameter acquisition instruction to acquire the historical energy consumption monitoring coefficient HNs, and sends the historical energy consumption monitoring coefficient HNs to the detection management platform;

[0091] The specific process is as follows:

[0092] The data storage module receives the environmental parameter acquisition instruction to obtain the energy consumption monitoring coefficient HN when the same environmental coefficient HJ is in the historical data, and sums and averages all the energy consumption monitoring coefficients HN, marks them as historical energy consumption monitoring coefficients HNs, and sends the historical energy consumption monitoring coefficients HNs to the detection management platform;

[0093] Step S9: the detection management platform generates an equipment monitoring instruction according to the energy consumption monitoring coefficient HN and the historical energy consumption monitoring coefficient HNs, and sends the equipment monitoring instruction to the equipment monitoring module;

[0094] The specific process is as follows:

[0095] The detection management platform compares the energy consumption monitoring coefficient HN with the historical energy consumption monitoring coefficient HNs:

[0096] If the energy consumption monitoring coefficient HN≥the historical energy consumption monitoring coefficient HNs×κ, then generate the equipment monitoring instruction and send the equipment monitoring instruction to the equipment monitoring module; wherein κ is the preset error adjustment factor, κ satisfies κ>1, and δ=1.124;

[0097] Step S10: After receiving the equipment monitoring instruction, the equipment monitoring module obtains equipment abnormality information, which includes a vibration value ZD and a sound value SY, and sends the equipment abnormality information to the detection management platform;

[0098] The specific process is as follows:

[0099] Step S101: After receiving the equipment monitoring instruction, the equipment monitoring module monitors the Chinese medicine extraction equipment, obtains the vibration times and maximum vibration displacement of the Chinese medicine extraction equipment per unit time, and marks them as the dynamic value DS and the dynamic displacement value DY respectively, quantifies the dynamic value DS and the dynamic displacement value DY, extracts the values ​​of the dynamic value DS and the dynamic displacement value DY, and substitutes them into the formula for calculation. The vibration value ZD is obtained, wherein e is a mathematical constant, z1 and z2 are respectively preset proportional coefficients corresponding to the set dynamic value DS and the dynamic displacement value DY, z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.42 and z2=0.58;

[0100] Step S102: The equipment monitoring module obtains the maximum sound intensity of the noise emitted by the Chinese medicine extraction equipment per unit time and the total time that the sound intensity of the noise emitted exceeds the preset sound intensity, and marks them as the noise intensity value ZQ and the noise time value ZS respectively, quantifies the noise intensity value ZQ and the noise time value ZS, extracts the values ​​of the noise intensity value ZQ and the noise time value ZS, and substitutes them into the formula for calculation. The sound value SY is obtained, wherein e is a mathematical constant, s1 and s2 are respectively the preset proportional coefficients corresponding to the set noise intensity value ZQ and the noise duration value ZS, s1 and s2 satisfy s1+s2=1, 0<s2<s1<1, and s1=0.70 and s2=0.30;

[0101] Step S103: the equipment monitoring module sends the vibration value ZD and the sound value SY to the detection management platform;

[0102] Step S11: the detection management platform obtains the equipment abnormality coefficient SB according to the equipment abnormality information, generates an equipment abnormality instruction or a process abnormality instruction according to the equipment abnormality coefficient SB, and sends the equipment abnormality instruction to the abnormality alarm module, and sends the process abnormality instruction to the abnormality alarm module;

[0103] The specific process is as follows:

[0104] Step S111: the detection management platform obtains the product of the vibration value ZD and the sound value SY, and marks it as the equipment abnormality coefficient SB;

[0105] Step S112: The detection management platform compares the equipment abnormality coefficient SB with the preset equipment abnormality threshold SBy:

[0106] If the equipment abnormality coefficient SB ≥ the equipment abnormality threshold SBy, an equipment abnormality instruction is generated and sent to the abnormality alarm module;

[0107] If the equipment abnormality coefficient SB is less than the equipment abnormality threshold SBy, a process abnormality instruction is generated and sent to the abnormality alarm module;

[0108] Step S12: The abnormal alarm module sounds an equipment abnormality alarm after receiving an equipment abnormality instruction, and sounds a process abnormality alarm after receiving a process abnormality instruction.

[0109] It should be further explained that the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0110] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0111] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A paperless Chinese medicine experiment energy consumption detection and management system, characterized in that: include: The detection management platform is used for users to obtain the name and weight of traditional Chinese medicine, generate a stop parameter acquisition instruction, and send the stop parameter acquisition instruction to the data storage module; It is also used to generate energy consumption monitoring instructions and environmental monitoring instructions according to the average viscosity value JN, the average density value JM, the extracted mean value TJ, the actual viscosity value SN, the actual density value SM and the extracted actual value TS, and send the energy consumption monitoring instructions to the energy consumption monitoring module and send the environmental monitoring instructions to the environmental monitoring module; Extract the traditional Chinese medicine, obtain the viscosity and density of the traditional Chinese medicine extract in real time and mark them as the actual viscosity value SN and the actual density value SM; The data storage module obtains the same Chinese medicine name and weight in the historical Chinese medicine experimental data after receiving the stop parameter acquisition instruction. At the end of the experiment, the viscosity and density of the Chinese medicine extract are marked as the historical viscosity value LN and the historical density value LM, and the average viscosity value JN and the average density value JM are obtained according to the historical viscosity value LN and the historical density value LM, and the average viscosity value JN and the average density value JM are sent to the detection management platform; The energy consumption monitoring module is used to obtain energy consumption monitoring information after receiving the energy consumption monitoring instruction, and send the energy consumption monitoring information to the information analysis module; wherein the energy consumption monitoring information includes the extraction ratio value TB, the solvent value RJ and the power consumption value HD; The specific process of the energy consumption monitoring module obtaining energy consumption monitoring information is as follows: After receiving the energy consumption monitoring instruction, the Chinese medicine extraction process is stopped, and the Chinese medicine extract is dried until the solid content of the Chinese medicine extract reaches the preset solid content to obtain the Chinese medicine extract; the weight of the Chinese medicine extract and the weight of the Chinese medicine put into the Chinese medicine extraction equipment are obtained, and the ratio between the two is obtained, and it is marked as the extraction ratio TB; the total mass and total price of the extraction solvent consumed in the Chinese medicine extraction process are obtained, and they are marked as the solute value RZ and the solute lattice value RG respectively, and the solute value RZ and the solute lattice value RG are quantified, and according to the formula Get the solvent value RJ, where r1 and r2 are the preset proportional coefficients corresponding to the set solute value RZ and the lattice value RG respectively; where the solvent includes but is not limited to water and anhydrous ethanol; get the total power consumed in the process of Chinese medicine extraction and the power consumed per minute, and mark them as the total power value ZD and the partial power value FD, quantify the total power value ZD and the partial power value FD, and use the formula The power consumption value HD is obtained, wherein d1 and d2 are preset proportional coefficients corresponding to the set total power value ZD and the divided power value FD respectively; The extraction ratio TB, solvent value RJ and power consumption value HD are sent to the information analysis module; the information analysis module is used to obtain the energy consumption monitoring coefficient HN according to the energy consumption monitoring information, and send the energy consumption monitoring coefficient HN to the detection management platform.

2. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: The specific process of the detection management platform generating energy consumption monitoring instructions and environmental monitoring instructions is as follows: After receiving the average viscosity value JN and the average density value JM, the average viscosity value JN and the average density value JM are quantified, and the extracted mean value TJ is obtained according to the formula TJ=j1×JN+j2×JM, wherein j1 and j2 are respectively the preset proportional coefficients corresponding to the set average viscosity value JN and the average density value JM; The real viscosity value SN and the real density value SM are quantized, and the extracted real value TS is obtained according to the formula TS=j1×SN+j2×SM, where j1 and j2 are the preset proportional coefficients corresponding to the set real viscosity value SN and the real density value SM respectively; Compare the average viscosity value JN, average density value JM and extracted mean value TJ with the actual viscosity value SN, actual density value SM and extracted actual value TS respectively: If the actual viscosity value SN ≥ δ × average viscosity value JN and the actual density value SM ≥ δ × average density value JM and the extracted actual value TS ≥ δ × extracted average value TJ, then energy consumption monitoring instructions and environmental monitoring instructions are generated, and the energy consumption monitoring instructions are sent to the energy consumption monitoring module, and the environmental monitoring instructions are sent to the environmental monitoring module, where δ is a preset error adjustment factor.

3. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: The specific process of the information analysis module obtaining the energy consumption monitoring coefficient HN is as follows: The extraction ratio TB, solvent value RJ and power consumption value HD are quantified according to the formula The energy consumption monitoring coefficient HN is obtained, wherein h1, h2 and h3 are respectively the preset weight factors corresponding to the set extraction ratio value TB, solvent value RJ and power consumption value HD; The energy consumption monitoring coefficient HN is sent to the detection management platform.

4. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: Also includes: The environmental monitoring module is used to obtain the environmental coefficient HJ after receiving the environmental monitoring instruction, and send the environmental coefficient HJ to the detection management platform.

5. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 4, characterized in that: The specific process of the environmental monitoring module obtaining the environmental coefficient HJ is as follows: After receiving the environmental monitoring instruction, the environment in which the Chinese medicine extraction equipment is located is monitored, the environmental temperature and environmental humidity are obtained, and they are marked as the ambient temperature value HW and the ambient humidity value HS respectively, and the ambient temperature value HW and the ambient humidity value HS are quantified, and the environmental coefficient HJ is obtained according to the formula HJ=x1×HW+x2×HS, where x1 and x2 are the preset proportional coefficients corresponding to the set ambient temperature value HW and the ambient humidity value HS respectively; Send the environmental factor HJ to the detection management platform.

6. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: Also includes: The equipment monitoring module is used to obtain equipment abnormality information after receiving the equipment monitoring instruction, and send the equipment abnormality information to the detection management platform; wherein the equipment abnormality information includes the vibration value ZD and the sound value SY.

7. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 6, characterized in that: The specific process of the device monitoring module obtaining device abnormality information is as follows: After receiving the equipment monitoring instruction, the Chinese medicine extraction equipment is monitored to obtain the vibration times and maximum vibration displacement of the Chinese medicine extraction equipment per unit time, and they are marked as dynamic value DS and dynamic displacement value DY respectively. The dynamic value DS and dynamic displacement value DY are quantified, the values ​​of the dynamic value DS and dynamic displacement value DY are extracted, and they are substituted into the formula for calculation. According to the formula The vibration value ZD is obtained, wherein e is a mathematical constant, and z1 and z2 are preset proportional coefficients corresponding to the set dynamic value DS and the dynamic displacement value DY respectively; The maximum sound intensity of the noise emitted by the Chinese medicine extraction equipment per unit time and the total time that the sound intensity of the noise emitted exceeds the preset sound intensity are obtained, and they are marked as the noise intensity value ZQ and the noise time value ZS respectively. The noise intensity value ZQ and the noise time value ZS are quantified, the values ​​of the noise intensity value ZQ and the noise time value ZS are extracted, and they are substituted into the formula for calculation. According to the formula The sound value SY is obtained, wherein e is a mathematical constant, s1 and s2 are preset proportional coefficients corresponding to the set noise intensity value ZQ and noise duration value ZS respectively; The vibration value ZD and sound value SY are sent to the detection management platform.

8. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: The detection management platform is also used to obtain the equipment abnormality coefficient SB according to the equipment abnormality information, and generate equipment abnormality instructions or process abnormality instructions according to the equipment abnormality coefficient SB, and send the equipment abnormality instructions to the abnormal alarm module and send the process abnormality instructions to the abnormal alarm module.

9. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 8, characterized in that: The specific process of the detection management platform generating an equipment abnormality instruction or a process abnormality instruction is as follows: Obtain the product of the vibration value ZD and the sound value SY, and mark it as the equipment abnormality coefficient SB; Compare the equipment abnormality coefficient SB with the preset equipment abnormality threshold SBy: If the equipment abnormality coefficient SB ≥ the equipment abnormality threshold SBy, an equipment abnormality instruction is generated and sent to the abnormality alarm module; If the equipment abnormality coefficient SB is less than the equipment abnormality threshold SBy, a process abnormality instruction is generated and sent to the abnormality alarm module.

10. A paperless Chinese medicine experiment energy consumption detection and management system according to claim 1, characterized in that: Also includes: The abnormality alarm module is used to sound the equipment abnormality alarm after receiving the equipment abnormality instruction, and to sound the process abnormality alarm after receiving the process abnormality instruction.

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