CN106335125A - Method of preparing initial condensation kiln by cement-based foam insulation boards - Google Patents

Abstract

The invention discloses a method of preparing an initial condensation kiln by cement-based foam insulation boards. The method comprises the following steps of: feeding and mixing: adding the following components in percentage by mass: 30-40 percent of cement, 40-50 percent of a foaming agent and 20-30 percent of a foam stabilizing reinforcing agent in a stirrer through a feeding system, and dry mixing for 30s; stirring: adding warm water in the stirrer, wet stirring for 2min, adding the foaming agent in the stirrer, and stirring for 8-15s; injection molding and foaming: then injecting slurry into a mold, and foaming for 3-5min; demolding: after injecting the slurry into the mold, needing to carry out demolding for 1-2 days, and maintaining the mold after the mold can be rapidly stripped needing to enter the initial condensation kiln for 8-10min; preliminary maintenance: after injection molding is finished, standing for a plurality of hours, and carrying out preliminary maintenance; and cutting: maintaining a finished product. With adoption of the method, the labor intensity of a worker is weak without tedious transportation; and the compressive strength of a foam concrete product is improved.

Description

A kind of method that cement based foam heat-insulating board makes pre-hardening kiln

Technical field

The invention belongs to building material technical field, more particularly, to a kind of side of cement based foam heat-insulating board making initial set kiln Method.

Background technology

Foam concrete be by way of chemically or physically according to application needs, by nitrogen, carbon dioxide gass, oxygen or Air is introduced in concrete mortar, and mix homogeneously, moulding by casting, condensation, maintenance form.Wherein, for physically to concrete Introduce air in slurry, need first foam concrete foamer hereinafter referred to as foaming agent diluent and air be mixed foam, The aggregates such as flyash, sand and cement, water are mixed and made into concrete slurry, then concrete slurry are made with foams mix Foam concrete slurry, finally cast produces foam concrete.And the equipment being currently used for producing foam concrete is all little mould Tool produces, and labor strength is big, artificial cutting transport, needs to carry loaded down with trivial detailsly.

Content of the invention

It is an object of the invention to provide a kind of cement based foam heat-insulating board makes the method for pre-hardening kiln it is intended to solve existing Technical functionality is single, the problem of small-scale production and high labor intensive.Big mould machine metaplasia is provided to produce, surface trimming, four Face is cut, and labor strength is little, need not loaded down with trivial details carrying foam concrete special initial set kiln.

The present invention is achieved in that the method that cement based foam heat-insulating board makes pre-hardening kiln, and described cement based foam is protected The method that warm plate makes pre-hardening kiln comprises the following steps::

Step one, feeding, mixing: included according to mass percent by feeding system: cement 30%～40%, foaming agent 40%～50%, cement, foaming agent, steady bubble reinforcing agent are added blender by steady bubble reinforcing agent 20%～30%, are dry mixed 30 seconds；

Step 2, stirring: warm water is added blender, wet stirring 2 minutes；Foaming agent is added the blender stirring 8-15 second Clock；

Step 3, injection molding, foaming: with will slurry injection mould in foam, foaming process about 3-5 minute；

Step 4, the demoulding, need the demoulding in 1-2 days after slurry injection mould, mould enters pre-hardening kiln (insulation and constant temperature) and only needs 8-10 minute can carry out maintenance after quicker de-mold；

Step 5, initial curing: stand some hours after the completion of injection molding and carry out initial curing；

Step 6, cutting: can be cut after the cement insulation board blank demoulding possessing some strength, cutting rule Lattice adjust cutting blade as needed to be carried out；

Step 7, finished product maintenance: cement insulation board curing age should be not less than 7 days.

Further, described foaming agent be sodium lauryl sulphate, polyoxyethylenated alcohol sodium sulfate, rosin soap foaming Agent, animal and vegetable protein class foaming agent, any one or two kinds in spent pulping liquor.

Further, the preparation method of described steady bubble reinforcing agent includes: weighs the water of 80g, the water-based calcium stearate of 34g, 7g Calcium chloride, the organosilicon moisture repellent of 0.5g, the hydroxypropyl methyl cellulose of 1g polyoxyethylene economization agent and 0.1g is in container In, it is stirred continuously, fully dissolves, you can obtain chemical blowing foam concrete and steep reinforcing agent with steady.

Further, described blender is provided with motor, the state equation of described motor is:

Wherein, x_g=[i_di_qω_rθ_r]^tFor the state variable of generator model, xc=[x_asrx_dacrx_qacr]^tFor control The state variable of device model processed, x_oFor recognizing the state variable of module；u_g、u_c、u_oFor three's input quantity, if given rotating speed is referred to Make as constant, analysis generator side control system is to inputting former dynamic torque t_lThe characteristic of disturbance, state equation is:

Wherein x is the state variable of system,For the output of system, set up small-signal linear model such as following formula Described:

Analysis input is former dynamic torque t_l, be output as Speed IdentificationWith magnetic linkage positionAmplitude Frequency Characteristic, San Zhejun Represented using perunit value and base value is respectively t_ln、And 2 π.

Further, described blender is provided with controller, described controller is provided with signal detection module, described signal The signal processing method of detection module includes:

Radio frequency or intermediate-freuqncy signal are obtained signal x1 with single-frequency mixing using frequency mixer by the first step；

Second step, removes the high fdrequency components of signal x1 using low pass filter a, and the 3db band of low pass filter a is wider than point Analysis bandwidth bs, obtains signal x2, now x2 is the signal of zero intermediate frequency, and the signal with a width of bs is affected by wave filter a Very little, negligible；

3rd step, because x2 has been zero intermediate frequency signals, therefore fo=0, signal x2 is carried out with the fft fortune of nfft points Calculate, then modulus, and front nfft/2 point is stored in vectorf, in vectorf, save the amplitude spectrum of signal x2；

4th step, analysis bandwidth bs is divided into the equal block, n=3,4 of n block ... .., each block will be carried out The a width of bs/n of band of computing, if the low-limit frequency that will analyze bandwidth bs is fl, fl=0, then nblock block, n=1...n, institute is right The frequency separation scope answered is [fl+ (n-1) bs/n, fl+ (n) bs/n] respectively, by the Frequency point of frequency range corresponding in vectorf Distribute to each block, the vectorf point range that wherein nblock divides is [sn, sn+kn], whereinRepresent the number of every section of Frequency point got, and Represent is starting point, and fs is signal sampling frequencies, and round (*) represents the computing that rounds up；

5th step, seeks the energy σ of its frequency spectrum to each block | | 2, obtain e (n), n=1...n；

6th step, averages to vectorial e

7th step, try to achieve vectorial e variance and

8th step, update flag bit flag, flag=0, the front testing result of expressions be no signal, this kind of under the conditions of, Only it is judged to currently detected signal as σ sum > b2, flag is changed into 1；Work as flag=1, represent that a front testing result is Have signal, this kind of under the conditions of, only when σ sum <be judged to during b1 currently be not detected by signal, flag be changed into 0, b1 and b2 be door Limit value, with theoretical simulation, empirical value is given, b2 > b1；

According to flag bit, 9th step, controls whether subsequent demodulation thread etc. is opened: flag=1, opens subsequent demodulation thread Deng otherwise closing subsequent demodulation thread.

Further, controller is provided with trajectory computation module, the computational methods of described trajectory computation module include:

Track tr_iDefinition: tr_i={ p₁,p₂,…,p_k, wherein p_k={ x_k,y_k,t_k, represent the two-dimensional space of this point respectively Coordinate and adopt the time；

Orbit segment: for track tr_iInterior continuous partial 3-D point set, such as: subtrajectory_s={ p₁,…,p_k}(1≤ S≤k), k is the total number of sample points of the affiliated track of this orbit segment；

Longest common subsequence: refer to the longest common subsequence present in two or more sequences.For space-time For track, calculate its longest common subsequence and be converted into lcss distance and can weigh the similarity degree between track.Lcss's Calculate and typically pass through recursive fashion:

In formula: lcss (r, s) represents the lcss length between r and s of space-time track, δ and ψ represents the phase in x-axis and y-axis respectively Like threshold value, when Diff E is less than δ and Diff N is less than ψ it is believed that this is similar to measuring point, lcss value Jia 1, and other are every Meaning is as hereinbefore；When track record points are all 0, lcss (r, s) is 0；If measuring point number is not 0, use recurrence Mode judge the maximum of total sub-sequence length；Calculate the room and time similarity of orbit segment with lcss；

Orbit segment speed: the speed of orbit segment pass through this orbit segment all using point in minimum speed, maximal rate and Average speed is weighing:

Wherein, ω_m+ω_a≤ 1, v_minFor orbit segment medium velocity minimum, v_maxFor orbit segment medium velocity peak, i and j divides Not Wei this orbit segment sampled point subscript；Multiple sampled points for orbit segment, its speed all differs, and will have The orbit segment of similar velocity structure is gathered in one piece；

Orbit segment direction: between orbit segment whole story sampled point formed angle, also referred to as direction of motion angle:

Wherein, (x_s,y_s) orbit segment starting point, (x_e,y_e) it is track segment endpoint.

ξ neighborhood n_x(l_i): for orbit segment l_i, given proximity threshold ξ, if there is orbit segment l_j, meetWherein, d is all orbit segment data acquisition systems, d (l_i,l_j) be two orbit segments distance. Orbit segment field in order to, in the Density Clustering of dbscan track, to judge the current spatial density of each orbit segment, and then by space The larger orbit segment of density gathers for same group.

Further, controller is provided with signal modulation module, the signal processing method of described signal modulation module includes:

Receipt signal y (t) is expressed as:

Y (t)=x (t)+n (t)；

Wherein, x (t) is digital modulation signals, and n (t) is the impulsive noise of standard s α s distribution；Mask and mpsk modulates, x T the analytical form of () is expressed as:

Wherein, n is sampling number, a_nFor the information symbol sending, in mask signal, a_n=0,1,2 ..., m-1, m are Order of modulation, in mpsk signal, a_n=e^j2πε/m, ε=0,1,2 ..., m-1, g (t) represent rectangle molding pulse, t_bRepresent symbol Number cycle, f_cRepresent carrier frequency, carrier wave initial phaseIt is equally distributed random number in [0,2 π].

Further, controller is provided with synchronized orthogonal Frequency Hopping Signal blind source separating module, described synchronized orthogonal frequency hopping letter The synchronized orthogonal Frequency Hopping Signal blind source separation method of number blind source separating module includes:

Step one, is derived from the frequency hopping letter of multiple synchronized orthogonal frequency hopping radio sets using the array antenna received containing m array element Number, each road receipt signal is sampled, the m road discrete time-domain mixed signal after being sampledM= 1,2,…,m；

Step 2, carries out overlapping adding window Short Time Fourier Transform to m road discrete time-domain mixed signal, obtains m mixing letter Number time-frequency domain matrixP=0,1 ..., p-1, q=0,1 ..., n_fft- 1, wherein p table Show total window number, n_fftRepresent fft transform length；(p, q) represents time-frequency index, and specific time-frequency value isHere n_fftRepresent the length of fft conversion, p represents adding window number of times, t_sRepresent sampling interval, f_sExpression is adopted Sample frequency, c is integer, represents the sampling number at Short Time Fourier Transform adding window interval, c ＜ n_fft, and k_c=n_fft/ c is integer, That is use the Short Time Fourier Transform of overlapping adding window；

Step 3, to the frequency-hopping mixing signal time-frequency domain matrix obtaining in step 2Carry out pretreatment；RightCarry out low-yield pre- Process, that is, in each sampling instant p, willThe value that amplitude is less than thresholding ε sets to 0, and obtainsThe setting of thresholding ε can determine according to the average energy of receipt signal；When finding out p Carve the time-frequency numeric field data of (p=0,1,2 ... p-1) non-zero, useRepresent, whereinTable Show that p moment time-frequency respondsThese non-zero are returned by corresponding frequency indices when non-zero One change pretreatment, obtains pretreated vector b (p, q)=[b₁(p,q),b₂(p,q),…,b_m(p,q)]^t, wherein

Step 4, estimates jumping moment and the corresponding normalized hybrid matrix of each jump of each jump using clustering algorithm Column vector, Hopping frequencies；

According to step 4, step 5, estimates that the normalization hybrid matrix column vector obtaining estimates time-frequency domain frequency hopping source signal； Which this moment index belongs to and jump is judged to all sampling instants index p, method particularly includes: ifThen represent that moment p belongs to l and jumps；IfThen represent that moment p belongs to the 1st Jump；All moment p that l (l=1,2 ...) is jumped_l, estimate the time-frequency numeric field data of this jump each frequency hopping source signal, computing formula is such as Under:

Step 6, splices to the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that l jumps correspondingIndividual Incident angle, usesRepresent the corresponding incident angle of l n-th source signal of jump,Computing formula as follows:

Represent that l jumps n-th hybrid matrix column vector estimating to obtainM-th element, c represents the light velocity, I.e. v_c=3 × 10⁸Meter per second；Judge that l (l=2,3 ...) jumps right between the source signal that the source signal estimated and the first jump are estimated Should be related to, judgment formula is as follows:

Wherein m_n ^(l)Represent that l jumps the m estimating_n ^(l)Individual signal and first is jumped n-th signal estimated and is belonged to same source Signal；By different frequency hopping point estimation to the signal belonging to same source signal be stitched together, as final time-frequency domain source Signal estimation, uses y_nTime-frequency domain estimated value in time frequency point (p, q) for n-th source signal of (p, q) expression, p=0,1,2 ...., P, q=0,1,2 ..., n_fft- 1, that is,

Step 7, according to source signal time-frequency domain estimated value, recovers time domain frequency hopping source signal.

The method that the cement based foam heat-insulating board that the present invention provides makes pre-hardening kiln, is produced using big mould machine metaplasia, four Face surface trimming, labor strength is little, need not loaded down with trivial details carry.Automated production not only can improve unit mass further and send out The foam concrete yield of bubble, and do not affect the normal condensation of foam concrete slurry, such that it is able to improve foam concrete The comprcssive strength of product.And, cement based foam heat-insulating board heat conductivity is low, thermal and insulating performance is good, high temperature resistant, ageing-resistant, The inorganic heat insulation material that a1 level is not fired, cement foaming insulation board can be widely applied to building exterior wall heat preserving system.The present invention adopts Water-based calcium stearate is the main component surely steeping reinforcing agent, overcomes the hydrophobicity of calcium stearate powder body foam stabilizer, mixes with slurry Conjunction is more easy to uniformly mix, and shortens mixing time, and the oxygen foam system adaptability that chemical blowing produces is more good, strengthen Foam stabilizing effect, abscess is more uniformly distributed, and improves yield rate；Using calcium chloride early strength coagulant, the presetting period of slurry can be shortened, It is greatly enhanced early strength, get final product the demoulding in 6 hours, improve production efficiency；Using organosilicon moisture repellent energy effectively solving The high shortcoming of the water absorption rate of foam concrete；Foam concrete early strength can be reduced using polyoxyethylene economization agent to increase The contraction causing soon, decreases later stage cracking phenomena, extends the service life of foam concrete；Using hydroxypropyl methyl fiber Plain water-retaining agent can reduce the dry shrinkage fracture causing in production process because of strong wind, hot weather etc..The present invention provide based on The synchronized orthogonal Frequency Hopping Signal blind source separation method of cluster, under conditions of not knowing any channel information, according only to receiving Multiple Frequency Hopping Signals mixed signal, estimate frequency hopping source signal, can reception antenna number be less than source signal number bar Under part, blind estimate is carried out to multiple Frequency Hopping Signals, with only Short Time Fourier Transform, amount of calculation is little, easily realize, the party Method while blind separation is carried out to Frequency Hopping Signal moreover it is possible to estimate to partial parameters, practical, there is stronger popularization With using value, improve the work efficiency of blender, extend service life.

Brief description

Fig. 1 is the method flow diagram that cement based foam heat-insulating board provided in an embodiment of the present invention makes pre-hardening kiln.

Specific embodiment

In order that the objects, technical solutions and advantages of the present invention become more apparent, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to Limit the present invention.

Below in conjunction with the accompanying drawings the application principle of the present invention is explained in detail.

The cement based foam heat-insulating board of the embodiment of the present invention includes according to mass percent: cement 30%～40%, foaming Agent 40%～50%, steady bubble reinforcing agent 20%～30%.

Described foaming agent is sodium lauryl sulphate (k12), polyoxyethylenated alcohol sodium sulfate (aes), rosin soap Any one in foaming agent, animal and vegetable protein class foaming agent, spent pulping liquor or two kinds.

The preparation method of described steady bubble reinforcing agent includes: weighs the water of 80g, the water-based calcium stearate of 34g, the chlorination of 7g Calcium, the organosilicon moisture repellent of 0.5g, the hydroxypropyl methyl cellulose of 1g polyoxyethylene economization agent and 0.1g in container, constantly Stirring, fully dissolves, you can obtains chemical blowing foam concrete and steeps reinforcing agent with steady.

As shown in figure 1, the method that the cement based foam heat-insulating board of the embodiment of the present invention makes pre-hardening kiln comprises the following steps:

S101: feeding, mixing: quantitative cement, foaming agent, steady bubble reinforcing agent are added by blender by feeding system, It is dry mixed 30 seconds；

S102: stirring: quantitative warm water is added blender, wet stirring 2 minutes；Quantitative foaming agent is added blender Stirring 8-15 second；

S103: injection molding, foaming: with will slurry injection mould in foam, foaming process about 3-5 minute；

S104: the demoulding, needs the demoulding in 1-2 days after slurry injection mould, and mould enters pre-hardening kiln (insulation and constant temperature) and only needs 8- Maintenance can be carried out within 10 minutes after quicker de-mold；

S105: initial curing: stand some hours after the completion of injection molding and carry out initial curing；

S106: cutting: can be cut after the cement insulation board blank demoulding possessing some strength, cut form Adjustment cutting blade is carried out as needed；

S107: finished product maintenance: cement insulation board curing age should be not less than 7 days.

Further, described blender is provided with motor, the state equation of described motor is:

Wherein, x_g=[i_di_qω_rθ_r]^tFor the state variable of generator model, x_c=[x_asrx_dacrx_qacr]^tFor control The state variable of device model processed, x_oFor recognizing the state variable of module；u_g、u_c、u_oFor three's input quantity, if given rotating speed is referred to Make as constant, analysis generator side control system is to inputting former dynamic torque t_lThe characteristic of disturbance, state equation is:

Wherein x is the state variable of system,For the output of system, set up small-signal linear model such as following formula Described:

Analysis input is former dynamic torque t_l, be output as Speed IdentificationWith magnetic linkage positionAmplitude Frequency Characteristic, San Zhejun Represented using perunit value and base value is respectively t_ln、And 2 π.

Further, described blender is provided with controller, described controller is provided with signal detection module, described signal The signal processing method of detection module includes:

Radio frequency or intermediate-freuqncy signal are obtained signal x1 with single-frequency mixing using frequency mixer by the first step；

Second step, removes the high fdrequency components of signal x1 using low pass filter a, and the 3db band of low pass filter a is wider than point Analysis bandwidth bs, obtains signal x2, now x2 is the signal of zero intermediate frequency, and the signal with a width of bs is affected by wave filter a Very little, negligible；

3rd step, because x2 has been zero intermediate frequency signals, therefore fo=0, signal x2 is carried out with the fft fortune of nfft points Calculate, then modulus, and front nfft/2 point is stored in vectorf, in vectorf, save the amplitude spectrum of signal x2；

4th step, analysis bandwidth bs is divided into the equal block, n=3,4 of n block ... .., each block will be carried out The a width of bs/n of band of computing, if the low-limit frequency that will analyze bandwidth bs is fl, fl=0, then nblock block, n=1...n, institute is right The frequency separation scope answered is [fl+ (n-1) bs/n, fl+ (n) bs/n] respectively, by the Frequency point of frequency range corresponding in vectorf Distribute to each block, the vectorf point range that wherein nblock divides is [sn, sn+kn], whereinRepresent the number of every section of Frequency point got, andRepresent is starting point, and fs is signal sampling frequencies, and round (*) represents four houses Five enter computing；

5th step, seeks the energy σ of its frequency spectrum to each block | | 2, obtain e (n), n=1...n；

6th step, averages to vectorial e

7th step, try to achieve vectorial e variance and

8th step, update flag bit flag, flag=0, the front testing result of expressions be no signal, this kind of under the conditions of, Only it is judged to currently detected signal as σ sum > b2, flag is changed into 1；Work as flag=1, represent that a front testing result is Have signal, this kind of under the conditions of, only when σ sum <be judged to during b1 currently be not detected by signal, flag be changed into 0, b1 and b2 be door Limit value, with theoretical simulation, empirical value is given, b2 > b1；

According to flag bit, 9th step, controls whether subsequent demodulation thread etc. is opened: flag=1, opens subsequent demodulation thread Deng otherwise closing subsequent demodulation thread.

Further, controller is provided with trajectory computation module, the computational methods of described trajectory computation module include:

Track tr_iDefinition: tr_i={ p₁,p₂,…,p_k, wherein p_k={ x_k,y_k,t_k, represent the two-dimensional space of this point respectively Coordinate and adopt the time；

Orbit segment: for track tr_iInterior continuous partial 3-D point set, such as: subtrajectory_s={ p₁,…,p_k}(1≤ S≤k), k is the total number of sample points of the affiliated track of this orbit segment；

Longest common subsequence: refer to the longest common subsequence present in two or more sequences.For space-time For track, calculate its longest common subsequence and be converted into lcss distance and can weigh the similarity degree between track.Lcss's Calculate and typically pass through recursive fashion:

In formula: lcss (r, s) represents the lcss length between r and s of space-time track, δ and ψ represents the phase in x-axis and y-axis respectively Like threshold value, when Diff E is less than δ and Diff N is less than ψ it is believed that this is similar to measuring point, lcss value Jia 1, and other are every Meaning is as hereinbefore；When track record points are all 0, lcss (r, s) is 0；If measuring point number is not 0, use recurrence Mode judge the maximum of total sub-sequence length；Calculate the room and time similarity of orbit segment with lcss；

Orbit segment speed: the speed of orbit segment pass through this orbit segment all using point in minimum speed, maximal rate and Average speed is weighing:

Wherein, ω_m+ω_a≤ 1, v_minFor orbit segment medium velocity minimum, v_maxFor orbit segment medium velocity peak, i and j divides Not Wei this orbit segment sampled point subscript；Multiple sampled points for orbit segment, its speed all differs, and will have The orbit segment of similar velocity structure is gathered in one piece；

Orbit segment direction: between orbit segment whole story sampled point formed angle, also referred to as direction of motion angle:

$q=arctan\&lsqb;\frac{(y_e-y_s)}{(x_e-x_s)}\&rsqb;;$

Wherein, (x_s,y_s) orbit segment starting point, (x_e,y_e) it is track segment endpoint.

ξ neighborhood_nx(li): for orbit segment l_i, given proximity threshold ξ, if there is orbit segment l_j, meetWherein, d is all orbit segment data acquisition systems, d (l_i,l_j) be two orbit segments distance. Orbit segment field in order to, in the Density Clustering of dbscan track, to judge the current spatial density of each orbit segment, and then by space The larger orbit segment of density gathers for same group.

Further, controller is provided with signal modulation module, the signal processing method of described signal modulation module includes:

Receipt signal y (t) is expressed as:

Y (t)=x (t)+n (t)；

Wherein, x (t) is digital modulation signals, and n (t) is the impulsive noise of standard s α s distribution；Mask and mpsk modulates, x T the analytical form of () is expressed as:

Wherein, n is sampling number, a_nFor the information symbol sending, in mask signal, a_n=0,1,2 ..., m-1, m are Order of modulation, in mpsk signal, a_n=e^j2πε/m, ε=0,1,2 ..., m-1, g (t) represent rectangle molding pulse, t_bRepresent symbol Number cycle, f_cRepresent carrier frequency, carrier wave initial phaseIt is equally distributed random number in [0,2 π].

Further, controller is provided with synchronized orthogonal Frequency Hopping Signal blind source separating module, described synchronized orthogonal frequency hopping letter The synchronized orthogonal Frequency Hopping Signal blind source separation method of number blind source separating module includes:

Step one, is derived from the frequency hopping letter of multiple synchronized orthogonal frequency hopping radio sets using the array antenna received containing m array element Number, each road receipt signal is sampled, the m road discrete time-domain mixed signal after being sampledM= 1,2,…,m；

Step 2, carries out overlapping adding window Short Time Fourier Transform to m road discrete time-domain mixed signal, obtains m mixing letter Number time-frequency domain matrixP=0,1 ..., p-1, q=0,1 ..., n_fft- 1, wherein p table Show total window number, n_fftRepresent fft transform length；(p, q) represents time-frequency index, and specific time-frequency value isHere n_fftRepresent the length of fft conversion, p represents adding window number of times, t_sRepresent sampling interval, f_sExpression is adopted Sample frequency, c is integer, represents the sampling number at Short Time Fourier Transform adding window interval, c ＜ n_fft, and k_c=n_fft/ c is integer, That is use the Short Time Fourier Transform of overlapping adding window；

Step 3, to the frequency-hopping mixing signal time-frequency domain matrix obtaining in step 2Carry out pretreatment；RightCarry out low-yield pre- Process, that is, in each sampling instant p, willThe value that amplitude is less than thresholding ε sets to 0, and obtainsThe setting of thresholding ε can determine according to the average energy of receipt signal；Find out the p moment The time-frequency numeric field data of (p=0,1,2 ... p-1) non-zero, usesRepresent, whereinRepresent P moment time-frequency respondsCorresponding frequency indices when non-zero, to these non-zero normalizings Change pretreatment, obtain pretreated vector b (p, q)=[b₁(p,q),b₂(p,q),…,b_m(p,q)]^t, wherein

Step 4, estimates jumping moment and the corresponding normalized hybrid matrix of each jump of each jump using clustering algorithm Column vector, Hopping frequencies；

According to step 4, step 5, estimates that the normalization hybrid matrix column vector obtaining estimates time-frequency domain frequency hopping source signal； Which this moment index belongs to and jump is judged to all sampling instants index p, method particularly includes: ifThen represent that moment p belongs to l and jumps；IfThen represent that moment p belongs to the 1st Jump；All moment p that l (l=1,2 ...) is jumped_l, estimate the time-frequency numeric field data of this jump each frequency hopping source signal, computing formula is such as Under:

Step 6, splices to the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that l jumps correspondingIndividual Incident angle, usesRepresent the corresponding incident angle of l n-th source signal of jump,Computing formula as follows:

Represent that l jumps n-th hybrid matrix column vector estimating to obtainM-th element, c represents the light velocity, I.e. v_c=3 × 10⁸Meter per second；Judge that l (l=2,3 ...) jumps the source signal estimated and first and jumps between the source signal estimated Corresponding relation, judgment formula is as follows:

Wherein m_n ^(l)Represent that l jumps the m estimating_n ^(l)Individual signal and first is jumped n-th signal estimated and is belonged to same source Signal；By different frequency hopping point estimation to the signal belonging to same source signal be stitched together, as final time-frequency domain source Signal estimation, uses y_nTime-frequency domain estimated value in time frequency point (p, q) for n-th source signal of (p, q) expression, p=0,1,2 ...., P, q=0,1,2 ..., n_fft- 1, that is,

Step 7, according to source signal time-frequency domain estimated value, recovers time domain frequency hopping source signal.

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (8)

1. a kind of cement based foam heat-insulating board makes the method for pre-hardening kiln it is characterised in that described cement based foam heat-insulating board system The method making pre-hardening kiln comprises the following steps::

Step one, feeding, mixing: included according to mass percent by feeding system: cement 30%～40%, foaming agent 40% ～50%, cement, foaming agent, steady bubble reinforcing agent are added blender by steady bubble reinforcing agent 20%～30%, are dry mixed 30 seconds；

Step 2, stirring: warm water is added blender, wet stirring 2 minutes；Foaming agent is added blender to stir 8-15 second；

Step 3, injection molding, foaming: with will slurry injection mould in foam, foaming process 3-5 minute；

Step 4, the demoulding, need the demoulding in 1-2 days after slurry injection mould, mould enters pre-hardening kiln needs the 8-10 minute can quicker de-mold After carry out maintenance；

Step 5, initial curing: stand some hours after the completion of injection molding and carry out initial curing；

Step 6, cutting: can be cut after the cement insulation board blank demoulding possessing some strength, cut form root Carry out according to needing adjustment cutting blade；

Step 7, finished product maintenance: cement insulation board curing age should be not less than 7 days.

2. cement based foam heat-insulating board as claimed in claim 1 makes the method for pre-hardening kiln it is characterised in that described foaming agent For sodium lauryl sulphate, polyoxyethylenated alcohol sodium sulfate, rosin soap foaming agent, animal and vegetable protein class foaming agent, paper Any one in pulp waste or two kinds.

3. cement based foam heat-insulating board as claimed in claim 1 makes the method for pre-hardening kiln it is characterised in that described steady bubble increases The preparation method of strong agent includes: weighs the water of 80g, the water-based calcium stearate of 34g, the calcium chloride of 7g, the organosilicon hydrophobic of 0.5g Agent, the hydroxypropyl methyl cellulose of 1g polyoxyethylene economization agent and 0.1g, in container, is stirred continuously, and fully dissolves, you can Obtain chemical blowing foam concrete and steep reinforcing agent with steady.

4. cement based foam heat-insulating board as claimed in claim 1 makes the method for pre-hardening kiln it is characterised in that described blender On motor is installed, the state equation of described motor is:

$\left\{\begin{array}{c}{\stackrel{\&centerdot;}{x}}_g=f_g(x_g,u_g)\\ {\stackrel{\&centerdot;}{x}}_c=f_c(x_c,u_c)\\ {\stackrel{\&centerdot;}{x}}_o=f_o(x_o,u_o)\end{array}\right.$

Wherein, x_g=[i_di_qω_rθ_r]^tFor the state variable of generator model, x_c=[x_asrx_dacrx_qacr]^tFor controller mould The state variable of type, x_oFor recognizing the state variable of module；u_g、u_c、u_oFor three's input quantity, if given rotating speed is instructed as normal Number, analysis generator side control system is to former dynamic torque t of input_lThe characteristic of disturbance, state equation is:

$\left\{\begin{array}{c}\stackrel{\&centerdot;}{x}=f(x,t_l)\\ y=g(x,t_l)\end{array}\right.$

Wherein x is the state variable of system,For the output of system, set up small-signal linear model as described in following formula:

$\left\{\begin{array}{c}\stackrel{\&centerdot;}{x}=\frac{\&part;f}{\&part;x}{|}_{x=x_n,t_l=t_{ln}}x+\frac{\&part;f}{\&part;t_l}{|}_{x=x_n,t_l=t_{ln}}{t}_l\\ y=\frac{\&part;g}{\&part;x}{|}_{x=x_n,t_l=t_{ln}}x+\frac{\&part;g}{\&part;t_l}{|}_{x=x_n,t_l=t_{ln}}{t}_l\end{array}\right.$

Analysis input is former dynamic torque t_l, be output as Speed IdentificationWith magnetic linkage positionAmplitude Frequency Characteristic, three all adopts Perunit value represents and base value is respectively t_ln、And 2 π.

5. cement based foam heat-insulating board as claimed in claim 1 makes the method for pre-hardening kiln it is characterised in that described blender On be provided with controller, described controller is provided with signal detection module, the signal processing method bag of described signal detection module Include:

Radio frequency or intermediate-freuqncy signal are obtained signal x1 with single-frequency mixing using frequency mixer by the first step；

Second step, removes the high fdrequency components of signal x1 using low pass filter a, and the 3db band of low pass filter a is wider than analytic band Wide bs, obtains signal x2, now x2 is the signal of zero intermediate frequency, and the signal with a width of bs is affected very little by wave filter a, Negligible；

3rd step, because x2 has been zero intermediate frequency signals, therefore fo=0, signal x2 is carried out with the fft computing of nfft points, so Modulus afterwards, and front nfft/2 point is stored in vectorf, save the amplitude spectrum of signal x2 in vectorf；

4th step, analysis bandwidth bs is divided into the equal block, n=3,4 of n block ... .., each block will enter row operation The a width of bs/n of band, if to analyze bandwidth bs low-limit frequency be fl, fl=0, then nblock block, n=1...n, corresponding Frequency separation scope is [fl+ (n-1) bs/n, fl+ (n) bs/n] respectively, by the Frequency point distribution of frequency range corresponding in vectorf To each block, the vectorf point range that wherein nblock divides is [sn, sn+kn], wherein Represent the number of every section of Frequency point got, andRepresent is starting point, and fs is Signal sampling frequencies, round (*) represents the computing that rounds up；

5th step, seeks the energy σ of its frequency spectrum to each block | | 2, obtain e (n), n=1...n；

6th step, averages to vectorial e

7th step, try to achieve vectorial e variance and

8th step, update flag bit flag, flag=0, the front testing result of expressions be no signal, this kind of under the conditions of, only It is judged to currently detected signal as σ sum > b2, flag is changed into 1；Work as flag=1, represent that a front testing result is to have letter Number, this kind of under the conditions of, only when σ sum <be judged to during b1 currently be not detected by signal, flag be changed into 0, b1 and b2 be threshold value, With theoretical simulation, empirical value is given, b2 > b1；

According to flag bit, 9th step, controls whether subsequent demodulation thread etc. is opened: flag=1, opens subsequent demodulation thread etc., no Then close subsequent demodulation thread.

6. cement based foam heat-insulating board as claimed in claim 5 makes the method for pre-hardening kiln it is characterised in that pacifying on controller Equipped with trajectory computation module, the computational methods of described trajectory computation module include:

Track tr_iDefinition: tr_i={ p₁,p₂,…,p_k, wherein p_k={ x_k,y_k,t_k, represent the two-dimensional space coordinate of this point respectively With adopt the time；

Orbit segment: for track tr_iInterior continuous partial 3-D point set, such as: subtrajectory_s={ p₁,…,p_k}(1≤s≤ K), k is the total number of sample points of the affiliated track of this orbit segment；

Longest common subsequence: refer to the longest common subsequence present in two or more sequences, for space-time track For, calculate its longest common subsequence and be converted into lcss distance and can weigh the similarity degree between track；The calculating of lcss By recursive fashion:

$lcss(r,s)=\left\{\begin{array}{cc}0,& \begin{array}{cc}if& m=n=0\end{array}\\ lcss\left(\mathrm{re}st\right(r),\mathrm{re}st(s\left)\right)+1,& \begin{array}{cc}if& \left|r_{1,x}-s_{1,x}\right|\&le;\mathrm{\&delta;}\&cap;\left|r_{1,y}-s_{1,y}\right|\&le;\mathrm{\&psi;}\end{array}\\ max\{lcss\left(\mathrm{re}st\right(r),s),lcss(r,\mathrm{re}st(s\left)\right)\},& otherwise\end{array}\right.;$

In formula: lcss (r, s) represents the lcss length between r and s of space-time track, δ and ψ represents the similar threshold in x-axis and y-axis respectively Value, when Diff E is less than δ and Diff N is less than ψ it is believed that this is similar to measuring point, lcss value Jia 1, other every meanings As hereinbefore；When track record points are all 0, lcss (r, s) is 0；If measuring point number is not 0, with the side of recurrence Formula judges the maximum of total sub-sequence length；Calculate the room and time similarity of orbit segment with lcss；

Orbit segment speed: the speed of orbit segment pass through this orbit segment all using the minimum speed in point, maximal rate and average Speed is weighing:

${\stackrel{\&overbar;}{v}}_{subtrajectory}=(1-w_m-w_a)v_{\min }+w_m{v}_{\max }+w_a\frac{v_i+v_{i+1}+\mathrm{...}+v_j}{j-i+1};$

Wherein, ω_m+ω_a≤ 1, v_minFor orbit segment medium velocity minimum, v_maxFor orbit segment medium velocity peak, i and j is respectively The subscript of this orbit segment sampled point；Multiple sampled points for orbit segment, its speed all differs, will have like The orbit segment of velocity structure is gathered in one piece；

Orbit segment direction: between orbit segment whole story sampled point formed angle, also referred to as direction of motion angle:

$q=arctan\&lsqb;\frac{(y_e-y_s)}{(x_e-x_s)}\&rsqb;;$

Wherein, (x_s,y_s) orbit segment starting point, (x_e,y_e) it is track segment endpoint；

ξ neighborhood n_x(l_i): for orbit segment l_i, given proximity threshold ξ, if there is orbit segment l_j, meetWherein, d is all orbit segment data acquisition systems, d (l_i,l_j) be two orbit segments distance； Orbit segment field in order to, in the Density Clustering of dbscan track, to judge the current spatial density of each orbit segment, and then by space The larger orbit segment of density gathers for same group.

7. cement based foam heat-insulating board as claimed in claim 5 makes the method for pre-hardening kiln it is characterised in that pacifying on controller Equipped with signal modulation module, the signal processing method of described signal modulation module includes:

Receipt signal y (t) is expressed as:

Y (t)=x (t)+n (t)；

Wherein, x (t) is digital modulation signals, and n (t) is the impulsive noise of standard s α s distribution；Mask and mpsk modulates, x's (t) Analytical form is expressed as:

Wherein, n is sampling number, a_nFor the information symbol sending, in mask signal, a_n=0,1,2 ..., m-1, m are modulation Exponent number, in mpsk signal, a_n=e^j2πε/m, ε=0,1,2 ..., m-1, g (t) represent rectangle molding pulse, t_bRepresent symbol week Phase, f_cRepresent carrier frequency, carrier wave initial phaseIt is equally distributed random number in [0,2 π].

8. cement based foam heat-insulating board as claimed in claim 5 makes the method for pre-hardening kiln it is characterised in that pacifying on controller Equipped with synchronized orthogonal Frequency Hopping Signal blind source separating module, the synchronized orthogonal of described synchronized orthogonal Frequency Hopping Signal blind source separating module is jumped Frequency signal blind source separation method includes:

Step one, is derived from the Frequency Hopping Signal of multiple synchronized orthogonal frequency hopping radio sets using the array antenna received containing m array element, right Each road receipt signal is sampled, the m road discrete time-domain mixed signal after being sampled(k=1,2 ... .) m=1, 2,…,m；

Step 2, carries out overlapping adding window Short Time Fourier Transform to m road discrete time-domain mixed signal, obtains m mixed signal Time-frequency domain matrixP=0,1 ..., p-1, q=0,1 ..., n_fft- 1, wherein p represents total Window number, n_fftRepresent fft transform length；(p, q) represents time-frequency index, and specific time-frequency value isThis In n_fftRepresent the length of fft conversion, p represents adding window number of times, t_sRepresent sampling interval, f_sRepresent sample frequency, c is integer, table Show the sampling number at Short Time Fourier Transform adding window interval, c ＜ n_fft, and k_c=n_fft/ c is integer that is to say, that using The Short Time Fourier Transform of overlapping adding window；

Step 3, to the frequency-hopping mixing signal time-frequency domain matrix obtaining in step 2Carry out Pretreatment；RightCarry out low-yield pretreatment, that is, in each sampling instant p, willThe value that amplitude is less than thresholding ε sets to 0, and obtains The setting of thresholding ε can determine according to the average energy of receipt signal；Find out the time-frequency of p moment (p=0,1,2 ... p-1) non-zero Numeric field data, usesRepresent, whereinRepresent the response of p moment time-frequencyCorresponding frequency indices when non-zero, to these non-zero normalization pretreatment, obtain Pretreated vector b (p, q)=[b₁(p,q),b₂(p,q),…,b_m(p,q)]^t, wherein

Step 4, using clustering algorithm estimate the jumping moment of each jump and each jump corresponding normalized mixed moment array to Amount, Hopping frequencies；

According to step 4, step 5, estimates that the normalization hybrid matrix column vector obtaining estimates time-frequency domain frequency hopping source signal；To institute Sampling instant index p is had to judge which this moment index belongs to and jump, method particularly includes: if Then represent that moment p belongs to l and jumps；IfThen represent that moment p belongs to the 1st jump；L (l=1,2 ...) is jumped All moment p_l, estimate the time-frequency numeric field data of this jump each frequency hopping source signal, computing formula is as follows:

$\left\{\begin{array}{c}{\tilde{s}}_j(p,q)=\frac{1}{\left|\right|{\hat{a}}_j\left(l\right)|{|}^2}\&centerdot;{\hat{a}}_j^h\left(l\right)\&times;\left[\begin{array}{c}{\tilde{x}}_1(p_l,q)\\ {\tilde{x}}_2(p_l,q)\\ .\\ .\\ .\\ {\tilde{x}}_m(p_l,q)\end{array}\right]\\ j=\underset{j_0=1,2,\mathrm{...},\hat{n}}{\arg \max }\left(\right|{\&lsqb;{\tilde{x}}_1\left(p_l,q\right),{\tilde{x}}_2\left(p_l,q\right),\mathrm{...},{\tilde{x}}_m\left(p_l,q\right)\&rsqb;}^h\&times;{\hat{a}}_{j_0}\left(l\right)\left|\right)\\ {\tilde{s}}_m(p_l,q)=0,m=1,2,\mathrm{...},m,m\&notequal;j\\ q=0,1,2,\mathrm{...},n_{fft}-1\end{array}\right.;$

Step 6, splices to the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that l jumps correspondingIndividual incidence Angle, usesRepresent the corresponding incident angle of l n-th source signal of jump,Computing formula as follows:

${\widehat{\mathrm{\&theta;}}}_n\left(l\right)=\frac{1}{m-1}\underset{m=2}{\overset{m}{\&sigma;}}{\sin }^{-1}\&lsqb;\frac{angle\left({\hat{a}}_{n,m}\right(l)/{\hat{a}}_{n,m-1}(l\left)\right)*c}{2\mathrm{\&pi;}{\hat{f}}_{c,n}\left(l\right)d}\&rsqb;,n=1,2,...,\hat{n};$

Represent that l jumps n-th hybrid matrix column vector estimating to obtainM-th element, c represents the light velocity, i.e. v_c =3 × 10⁸Meter per second；Judge that l (l=2,3 ...) jumps corresponding between the source signal estimated and the source signal that first jumps estimation Relation, judgment formula is as follows:

${m_n}^{\left(l\right)}=\underset{m}{\arg \min }\left|{\widehat{\mathrm{\&theta;}}}_m^{\left(l\right)}-{\widehat{\mathrm{\&theta;}}}_n^{\left(1\right)}\right|,n=1,2,\mathrm{...},\hat{n}$

Wherein m_n ^(l)Represent that l jumps the m estimating_n ^(l)Individual signal and first is jumped n-th signal estimated and is belonged to same source letter Number；By different frequency hopping point estimation to the signal belonging to same source signal be stitched together, as final time-frequency domain source letter Number estimate, use y_nTime-frequency domain estimated value in time frequency point (p, q) for n-th source signal of (p, q) expression, p=0,1,2 ...., p, Q=0,1,2 ..., n_fft- 1, that is,

Step 7, according to source signal time-frequency domain estimated value, recovers time domain frequency hopping source signal.